Owing to advancements in technology, transformation in public attitudes, and growing appreciation of mental health in relation to overall health, mental health care is growing at a rate never experienced before. Because of the increasing awareness of mental health worldwide, over the past few years, new effective, accessible, and tailored solutions have been developed in response to the increasing need for mental health services.
Further, patient sentiments, feelings, trends, and other attributes have big data-related aspects that are being exploited to tailor mental healthcare through technology. This is because artificial intelligence (AI) algorithms can also analyse vast data sets including patient interaction, medical history as well as usage of language in therapy and determine relationships that are otherwise hidden. For instance, in therapy sessions, an example of NLP might be the analysis of recorded talks between patients and the psychologist, enabling the abstraction of data that can highlight determinants of anxiety or depression, even in low degrees. The AI aims at classification and minimizes the classification experiments embedded in trial and error so common in classical pharmacology in the recent therapeutic landscape. This is done in the hope that a model learns and predicts the response of a patient to a particular treatment of drugs by drawing similarities with the health history of other patients.
In addition, clinical practices are made more interpretable under the AI integration as it enables the therapist to have wearables that provide real-time information on the status of the patient which facilitates the adjustment of mental health treatment. Such wearables can monitor information that can be the proxies of mental health such as heart rate variability, sleeping patterns and amount of physical activity. If coupled with AI, these devices can detect incidences of stress or changes in people’s behaviour that suggest the onset of a mental illness.
Furthermore, artificial intelligence is encouraging the development of more customized modes of treatment in therapy by allowing clinicians to make evidence-based decisions. To assist in defining the ideal intervention for the patient, AI is capable of processing information including but not limited to genomic data, neuropsychological evaluations and historical interventions. Some of these systems use design and lifestyle factors, which are especially crucial for mental health, as social determinants of health. With this, therapists can come up with even better treatment plans that will be more patient-based and can change according to how patients respond and progress in the course of treatment in real-time.
Moreover, the increase in the cases of mental health disorders has also increased the need for new technological advancements. For instance, according to data from
Figure 1: People Suffering From Depression, by Employees Global, 2023
Source: Champion Health’s Workplace Health Report
Major Trends
- Integration of Artificial Intelligence and Machine Learning
- Digital Therapeutics and Mobile Health Applications
- Virtual Reality and Augmented Reality in Therapy
- Personalized and Precision Mental Health Care
- Emphasis on Preventative Mental Health
- Workplace Mental Health Programs
- Advancements in Neurotechnology
- Holistic and Collaborative Methods of Care
Let’s discuss each one in detail.
1. Integration of Artificial Intelligence and Machine Learning
There are major possibilities for transforming mental health care by enhancing diagnosis, tailoring treatment plans and predicting outcomes through artificial intelligence (AI) and machine learning (ML). Mental health chatbots and AI therapists are already bringing mental health services closer to patients, especially those who may be reluctant or not able to come for therapy. These can help provide immediate care when needed to help a person cope with stress, anxiety, and depression, among other situations. AI algorithms will most likely in the future grow into more unrecognizable forms and assess even more complicated variables such as voice understanding, social media activity and body sensors among others to identify problems and give high chances of non-relapse predictions.
2. Digital Therapeutics and Mobile Health Applications
Another transforming aspect in modern society coupled with change in the way a large sector of the population provides for their mental health is mobile health applications which are also referred to as mHealth applications. Mindfulness and meditation programs, cognitive behavioural therapy (CBT) exercises, and other therapies are included in these digital resources. Digital therapeutics is a new sector that aims to develop software-based interventions with proven clinical effectiveness for the improvement of mental health outcomes. Certain applications may allow users to control their mental illness by providing personalized responses, pathways, and therapy sessions. Such applications will most likely become more customized as future iterations incorporate data collected from body-worn devices to deliver on-the-spot help.
3. Virtual Reality and Augmented Reality in Therapy
In the case of PTSD, anxiety disorders, and phobias, therapeutic interventions are being revolutionized by the use of virtual reality and augmented reality. VR-based exposure therapy has become a beneficial device for therapists treating patients suffering from fear since the patients can safely picture and deal with their fears within a given virtual environment. Often, AR creates new therapeutic possibilities by overlaying digital content in the real world. Moreover, it is believed that as these technologies improve, they will be cheap and easy to use, thus allowing more patients to benefit from these modern treatment methods.
4. Personalized and Precision Mental Health Care
In a precision mental health treatment approach, various aspects including the patients’ genetic make-up, brain structure, and the environment that these individuals are in determine treatment. For example, pharmacogenetic testing may determine the metabolism of drugs by the individual. Therefore, doctors will be able to recommend some drugs with a higher chance of efficacy. Additionally, the continuous and instant access to health information makes the use of smart wear and applications ideal as the health providers can adjust the patient’s treatment plan as the health status fluctuates.
5. Emphasis on Preventative Mental Health
Treatment has traditionally been viewed as the primary focus of mental health services and not prevention as is the case today. However, there is a shift towards mental health prevention as people recognize the significance of building capacity and dealing with mental disorders before they escalate. Communities, corporations, and schools, for instance, are embracing paradigms such as stress management programs, mindfulness education, and mental health awareness. This positive way of thinking helps reduce the possibility of the occurrence of severe mental disorders and encourages mental well-being by promoting seeking assistance at an early stage, which eliminates stigma.
6. Workplace Mental Health Programs
In light of the growing understanding of how employee well-being relates to productivity, organizations are actively taking part in mental health interventions more than ever before. To enhance the well-being of their employees, the organizations are instituting programs that offer such services as mindfulness, counselling, and wellness days among others. In the long run, the programs may become very advanced and comprehensive and may even introduce such aspects as stress and worker burnout management devices and supportive services. Moreover, it is anticipated that occupational mental health programs when implemented would also assist in combating mental illness stigma and enhancing the state of the workplace culture.
7. Advancements in Neurotechnology
The integration and application of neurotechnology treatment methods in psychiatric diseases are expected to gain momentum. The work of the EEG is to map out the brain, record brain waves and attempt to discover the early signs of mental health deterioration. TMS activates areas of the brain to treat patients suffering from depression among other disorders. These technologies are still at experimental stages however they may one day help develop non-invasive, focused therapies, thereby rekindling hope in patients who have failed to respond to orthodox medicine.
8. Holistic and Collaborative Methods of Care
The future mental health treatment will revisit physical, emotional and social health as one unit and will become more team and integrated rather than segmented. To create comprehensive care plans, mental health providers are collaborating with other healthcare providers such as primary care doctors, nutritionists and exercise specialists. This model incorporates the understanding that there is a great impact of ‘lifestyle factors such as nutrition, physical activity and sleep on mental health. Focusing on these aspects may result in better mental health outcomes that could be sustained for longer periods
In conclusion, achieving an improved, enhanced, and more individualized mental health service is almost ready because of technological as well as research and increased public awareness. These developments are promising more opportunities in bridging care barriers, decreasing stigma, and allowing for self-management of mental health amongst individuals more so available services. There are still challenges to face, mostly concerning data privacy, ethical boundaries, and accessibility, and a growing demand for the development of mental health services continues to remain an optimism for the inhabitants of the society, who will one day achieve mental health. It will not only be more effective but it can be placed on the health measures where a more collected considerate and more custom-made sphere of mental health will be seen in the upcoming days.
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Quantum Computing Market size worth US$6,291.361 million by 2029
Press ReleasesThe quantum computing market is valued at US$1,428.076 million in 2024 and is expected to grow at a CAGR of 34.52% to reach the value of US$6,291.361 million by 2029.
Quantum computing is an emerging computer technology, which comprises elements of computer science, physics, and mathematics, to utilize quantum mechanics for solving complex problems. Quantum computing uses various types of sub-atomic particles, like photons and electrons. Quantum computing offers a wide range of applications and benefits over traditional or conventional computing technology it has the capability to solve complex computer tasks in a fraction of the time used by classic computers. Quantum computing also offers high speed, which can help in faster decision-making. Quantum computing technology is forecasted to act as a major factor in the development of new technologies like artificial intelligence (AI) and machine learning (ML).
The globe witnessed massive technological development in the quantum computing market, majorly with the increasing investment in research and development of the technologies. Several technological-based companies introduced new solutions and services in the global quantum computing market. In March 2024, Nvidia, a multinational technological leader, announced the launch of its cloud quantum-computer simulation microservice. The company aims to push the boundaries of quantum computing exploration, through the availability of this service. This microservice includes generative quantum eigensolver and QC wave promethium. Similarly, in December 2023, IBM, one of the biggest computer technology providers, announced the launch of its next-generation quantum processor and IBM Quantum System Two.
The company stated that the IBM Quantum System Two begins its operations with three IBM Heron processors, the latest quantum processor by the company, which is mainly designed to enhance the operationalization of quantum-centric supercomputing.
The component segment of the quantum computing market is categorized into hardware and software & service. The hardware category, under the component segment of the global quantum computing market, is forecasted to attain greater market share. A few of the major hardware of quantum computing include quantum processors and electronic components. The quantum processors are among the most important components of any quantum computer, which enable the operation of these types of computers.
The quantum computing market, under the deployment segment, is categorized into on-premises and cloud-based. Under the deployment segment of the quantum computing market, the cloud-based category is estimated to attain a greater market share. Under the cloud-based deployment of quantum computers, the actual components of the computer are stored at a remote location and are connected to institutions or enterprises through high-speed servers. The cloud-based deployment of quantum computers offers a cost-efficient method of quantum computing operation, and it also reduces the maintenance cost for enterprises.
By industry vertical, the quantum computing market is categorized into BFSI, automotive, manufacturing, healthcare, IT & telecom, energy & power, and others. The healthcare category of the global quantum computing market, under the industry vertical segment, is forecasted to grow at a greater rate. In the healthcare sector, quantum computing can offer a wide range of applications, from disease prevention to drug development. Through the use of quantum computing, the formulation and synthesizing process of new drugs can happen at a much faster rate, with minimum risk of failure.
The quantum computing market, by applications, is categorized into artificial intelligence & machine learning, computational chemistry, drug design & development, cybersecurity & cryptography, financial modeling, logistics optimization, and others. The artificial intelligence & machine learning category of the global quantum computing market, under the application segment, is anticipated to gain a greater share. With the use of quantum computing, much better and more effective AI algorithms can be generated, and it can enhance the ability of the AI technology.
Based on geography, the North America region is anticipated to attain significant growth in the global quantum computing market. The North American region is among the leading technological developers across the globe. Countries like the USA and Canada are also among the fastest adopters of new technologies, like quantum computers into their ecosystems. Furthermore, the increasing investment by governmental and private organizations to boost the capability of quantum computing, and its integration across multiple key industries, like healthcare, and cybersecurity.
As a part of the report, the major players operating in the quantum computing market that have been covered are IBM, Microsoft, Quantum Computing Inc., Intel Corporation, D-Wave Quantum Inc, Quix Quantum BV, Alpine Quantum Technologies GmbH, ORCA Computing, Rigetti & Co, LLC., Google LLC.
View a sample of the report or purchase the complete study at: https://www.knowledge-sourcing.com/report/quantum-computing-market
This analytics report segments the quantum computing market as follows:
Future in Mental Health: How AI is Personalizing Treatment Plans
Thought ArticlesOwing to advancements in technology, transformation in public attitudes, and growing appreciation of mental health in relation to overall health, mental health care is growing at a rate never experienced before. Because of the increasing awareness of mental health worldwide, over the past few years, new effective, accessible, and tailored solutions have been developed in response to the increasing need for mental health services.
Further, patient sentiments, feelings, trends, and other attributes have big data-related aspects that are being exploited to tailor mental healthcare through technology. This is because artificial intelligence (AI) algorithms can also analyse vast data sets including patient interaction, medical history as well as usage of language in therapy and determine relationships that are otherwise hidden. For instance, in therapy sessions, an example of NLP might be the analysis of recorded talks between patients and the psychologist, enabling the abstraction of data that can highlight determinants of anxiety or depression, even in low degrees. The AI aims at classification and minimizes the classification experiments embedded in trial and error so common in classical pharmacology in the recent therapeutic landscape. This is done in the hope that a model learns and predicts the response of a patient to a particular treatment of drugs by drawing similarities with the health history of other patients.
In addition, clinical practices are made more interpretable under the AI integration as it enables the therapist to have wearables that provide real-time information on the status of the patient which facilitates the adjustment of mental health treatment. Such wearables can monitor information that can be the proxies of mental health such as heart rate variability, sleeping patterns and amount of physical activity. If coupled with AI, these devices can detect incidences of stress or changes in people’s behaviour that suggest the onset of a mental illness.
Furthermore, artificial intelligence is encouraging the development of more customized modes of treatment in therapy by allowing clinicians to make evidence-based decisions. To assist in defining the ideal intervention for the patient, AI is capable of processing information including but not limited to genomic data, neuropsychological evaluations and historical interventions. Some of these systems use design and lifestyle factors, which are especially crucial for mental health, as social determinants of health. With this, therapists can come up with even better treatment plans that will be more patient-based and can change according to how patients respond and progress in the course of treatment in real-time.
Moreover, the increase in the cases of mental health disorders has also increased the need for new technological advancements. For instance, according to data from
Figure 1: People Suffering From Depression, by Employees Global, 2023
Source: Champion Health’s Workplace Health Report
Major Trends
Let’s discuss each one in detail.
1. Integration of Artificial Intelligence and Machine Learning
There are major possibilities for transforming mental health care by enhancing diagnosis, tailoring treatment plans and predicting outcomes through artificial intelligence (AI) and machine learning (ML). Mental health chatbots and AI therapists are already bringing mental health services closer to patients, especially those who may be reluctant or not able to come for therapy. These can help provide immediate care when needed to help a person cope with stress, anxiety, and depression, among other situations. AI algorithms will most likely in the future grow into more unrecognizable forms and assess even more complicated variables such as voice understanding, social media activity and body sensors among others to identify problems and give high chances of non-relapse predictions.
2. Digital Therapeutics and Mobile Health Applications
Another transforming aspect in modern society coupled with change in the way a large sector of the population provides for their mental health is mobile health applications which are also referred to as mHealth applications. Mindfulness and meditation programs, cognitive behavioural therapy (CBT) exercises, and other therapies are included in these digital resources. Digital therapeutics is a new sector that aims to develop software-based interventions with proven clinical effectiveness for the improvement of mental health outcomes. Certain applications may allow users to control their mental illness by providing personalized responses, pathways, and therapy sessions. Such applications will most likely become more customized as future iterations incorporate data collected from body-worn devices to deliver on-the-spot help.
3. Virtual Reality and Augmented Reality in Therapy
In the case of PTSD, anxiety disorders, and phobias, therapeutic interventions are being revolutionized by the use of virtual reality and augmented reality. VR-based exposure therapy has become a beneficial device for therapists treating patients suffering from fear since the patients can safely picture and deal with their fears within a given virtual environment. Often, AR creates new therapeutic possibilities by overlaying digital content in the real world. Moreover, it is believed that as these technologies improve, they will be cheap and easy to use, thus allowing more patients to benefit from these modern treatment methods.
4. Personalized and Precision Mental Health Care
In a precision mental health treatment approach, various aspects including the patients’ genetic make-up, brain structure, and the environment that these individuals are in determine treatment. For example, pharmacogenetic testing may determine the metabolism of drugs by the individual. Therefore, doctors will be able to recommend some drugs with a higher chance of efficacy. Additionally, the continuous and instant access to health information makes the use of smart wear and applications ideal as the health providers can adjust the patient’s treatment plan as the health status fluctuates.
5. Emphasis on Preventative Mental Health
Treatment has traditionally been viewed as the primary focus of mental health services and not prevention as is the case today. However, there is a shift towards mental health prevention as people recognize the significance of building capacity and dealing with mental disorders before they escalate. Communities, corporations, and schools, for instance, are embracing paradigms such as stress management programs, mindfulness education, and mental health awareness. This positive way of thinking helps reduce the possibility of the occurrence of severe mental disorders and encourages mental well-being by promoting seeking assistance at an early stage, which eliminates stigma.
6. Workplace Mental Health Programs
In light of the growing understanding of how employee well-being relates to productivity, organizations are actively taking part in mental health interventions more than ever before. To enhance the well-being of their employees, the organizations are instituting programs that offer such services as mindfulness, counselling, and wellness days among others. In the long run, the programs may become very advanced and comprehensive and may even introduce such aspects as stress and worker burnout management devices and supportive services. Moreover, it is anticipated that occupational mental health programs when implemented would also assist in combating mental illness stigma and enhancing the state of the workplace culture.
7. Advancements in Neurotechnology
The integration and application of neurotechnology treatment methods in psychiatric diseases are expected to gain momentum. The work of the EEG is to map out the brain, record brain waves and attempt to discover the early signs of mental health deterioration. TMS activates areas of the brain to treat patients suffering from depression among other disorders. These technologies are still at experimental stages however they may one day help develop non-invasive, focused therapies, thereby rekindling hope in patients who have failed to respond to orthodox medicine.
8. Holistic and Collaborative Methods of Care
The future mental health treatment will revisit physical, emotional and social health as one unit and will become more team and integrated rather than segmented. To create comprehensive care plans, mental health providers are collaborating with other healthcare providers such as primary care doctors, nutritionists and exercise specialists. This model incorporates the understanding that there is a great impact of ‘lifestyle factors such as nutrition, physical activity and sleep on mental health. Focusing on these aspects may result in better mental health outcomes that could be sustained for longer periods
In conclusion, achieving an improved, enhanced, and more individualized mental health service is almost ready because of technological as well as research and increased public awareness. These developments are promising more opportunities in bridging care barriers, decreasing stigma, and allowing for self-management of mental health amongst individuals more so available services. There are still challenges to face, mostly concerning data privacy, ethical boundaries, and accessibility, and a growing demand for the development of mental health services continues to remain an optimism for the inhabitants of the society, who will one day achieve mental health. It will not only be more effective but it can be placed on the health measures where a more collected considerate and more custom-made sphere of mental health will be seen in the upcoming days.
Find some of our related studies:
Microcarrier Market size worth US$1,905.292 million by 2030
Press ReleasesThe microcarrier market is projected to grow at a CAGR of 9.32% during the forecast period to reach US$1,905.292 million by 2030, up from US$1,548.099 million in 2025.
The global market for microcarriers has been majorly driven by the growing demand for the cell-based vaccine. According to UNICEF, the delivery of the pentavalent vaccines had been 61.7 million in 2023 and reached 155.1 million in 2024. This sharp increase indicates the demand for whole-cell pertussis vaccine to protect from five diseases in the vaccine. The European Union imported US$ 7,376.031 million worth of vaccines for human medicine in 2023, this is a significant increase from the US$ 6,923.078 million worth of vaccines for human medicine in 2022. This increase in the vaccine demand is due to the growing health concern among the people after the pandemic.
Additionally, the growing demand for alternative medicinal therapies has created a demand for the microcarrier. In October 2024, Cellevate launched the world’s 1st nanofiber microcarrier for gene therapy at CPHI Milan. This technology gives 60 times more surface area for cell growth than conventional systems. Cellevat3d nanofiber microcarriers increase yield and productivity in upstream bioprocessing of gene therapy applications. Cellevat3d nanofiber microcarriers closely mimic the human extracellular environment, providing higher cell densities. Cellevat3d nanofiber microcarriers support a wide range of upstream bioprocessing applications including gene therapy, pluripotent stem cell (PSC) expansion, organoid formation, HEK-based recombinant proteins, and HEK-based vaccine production. Cellevate is a biotech company on proprietary nanofiber technology.
Moreover, one of the emerging trends in application in cell culturing. Microcarriers are finding success in the expanding cell culturing market. In November 2024, Rousselot, and IamFluidics, announced the launch of a novel research-grade dissolvable microcarrier for adherent cell culturing. The product is designed for advanced cell therapies, biologics manufacturing, and cultured meat production. Microcarriers provide a larger surface for cell attachment than traditional flat (2D) cultures and facilitate scaling up from lab-scale to large-scale bioreactors for efficient commercial production.
The new microcarrier offers advantages such as enhanced cell attachment and growth as the denatured collagen promotes cell attachment and growth, rapid dissolution for efficient harvesting (microcarriers dissolve within 15 minutes), high-harvesting efficiency, and easy handling, following standard cell culturing protocols.
Besides, In October 2023, Kuraray Co., Ltd. developed PVA hydrogel microcarriers for cell cultures used in regenerative medicine. The product was launched in January 2024 in Japan and overseas. PVA hydrogel microcarriers were introduced into the bioreactor used for mass cell culture, cells adhere and proliferate on their surface. Microcarriers were resistant to damage when stirred in bioreactors, had been verified for safety, and exhibited cell culture efficiency. The material can be used for three-dimensional culturing by adhering cells on its surface in the culture solution.
By product type, the microcarrier market is segmented into equipment, consumables, reagents, microcarrier beads, and others. The equipment will witness a significant demand in the market due to the growing research and development related to the microcarrier. In June 2023, Teijin Frontier Co., Ltd., announced that it developed new nonwoven microcarriers that enable speedy, large-scale, high-quality cell culture. This scaffolding material can be used for a wide range of cell types and facilitates adherence and growth in three dimensions. In 2024, the company planned to expand marketing of the new nonwoven microcarriers worldwide aiming for global sales of JPY 100 million in fiscal 2026.
By application, the microcarrier market is segmented into biopharmaceutical production, cell and gene therapy, and others. The cell and gene therapy segment application is the upcoming field of application having a notable growth rate.
By end-users, the microcarrier market is segmented into pharmaceuticals & biotechnology companies, research institutes, and contract research organizations. The pharmaceuticals & biotechnology companies are likely to have a significant share as the companies are investing in huge for the development of new products and solutions.
Based on geography, the European region of the microcarrier market will have a significant share. The major countries in the region included the United Kingdom, Germany, France, and Spain. In Germany, denovoMATRIX GmbH launched beadMATRIX for MSCs I Microcarrier for MSCs in May 2022. These developments have played a key role in the advancement of the market.
As a part of the report, the major players operating in the microcarrier market that have been covered are Thermo Fisher Scientific, Merck KGaA, Entegris, Batavia Biosciences B.V., Sartorius AG, and Nucleus Biologics, LLC.
View a sample of the report or purchase the complete study at: https://www.knowledge-sourcing.com/report/global-microcarrier-market
The market analytics report segments the microcarrier market as follows:
Driving the Future: Innovations Transforming the EV Powertrain Market
BlogThe rise in the market for electric vehicles (EVs) can be ascribed to several reasons with the major one being the demand for less polluted means of transport as compared to internal combustion engines as well as the world’s inclination towards less polluted environment and reducing the greenhouse effect. In all EVs, an electric vehicle powertrain is one of the most important components, because its technology is the conversion of electrical energy stored in batteries to mechanical energy efficient enough for wheel movement while considering the performance, efficiency and range. As the EV sector grows, there is an increase in the demand for advanced powertrain technologies that are necessary for improving vehicle performance, cost reduction as well as battery longevity.
Figure 1: Global Battery Electric Car Stock, in Millions, Global, 2023
Source: International Energy Agency
Major Innovations in Transforming EV Powertrains are as follows
Let’s discuss each one in detail.
1. Silicon Carbide (SiC) and Gallium Nitride (GaN) Semiconductors
The rise of SiC and GaN semiconductor devices is perhaps one of the most remarkable developments in the EV powertrain industry today. Standard electric vehicles’ powertrains employ silicons to control and transfer electric energy in its various forms. However, with the use of silicon, there are inherent limitations in performance such as heat and power losses. These issues are addressed by SiC and GaN materials by enabling higher thermal resistance, greater performance efficiency, and faster power switching.
Moreover, SiC has become the most widely adopted composite material for electric vehicles inverters. Inverters are designed to convert the direct or brake battery power supplied to the inverter device into an alternating current of the motor. Since SiC can endure high temperatures as well as high voltage levels, the conversion process loses less energy thus prolonging the range of the vehicle and reducing the cooling requirement. Additionally, GaN possesses unique features that allow it to obtain very high efficiency at low voltages, this makes it a fitting candidate for use in EV parts where size and low energy loss are paramount.
2. Solid-State Batteries
Solid state batteries (SSBs), easily considered the next level of evolution in battery technology, which is crucial for the performance of electric vehicles, are one of the most encouraging advances in battery technology. In a standard lithium-ion battery, a liquid electrolytic is introduced between the cathode and anode to facilitate the movement of ions from the spokes to the axis and vice versa. In this way, solid-state batteries have several advantages in comparison with customary designs of solid-state batteries.
One of the most notable solid-state batteries developments is the energy density. The possible mileage of EVs can be enhanced without an increase in the size and weight battery pack thanks to the solid electrolytes which enable SSBs to provide enhanced energy density in comparatively weight and volumetric less solid batteries. In addition, a solid electrolyte battery is much safer than a lithium-ion battery, which can overheat and even catch fire in certain conditions because the solid electrolyte in these types of batteries does not easily undergo thermal fluctuations.
Moreover, solid-state batteries allow for charging periods that are less than the conventional cycle times because they allow higher charging currents without the risk of thermal runaway or decomposition. With plans to commercialize this technology in about ten years, automotive companies such as Toyota and startup firms like QuantumScape are heavily funding research on solid-state batteries.
3. Dual-Motor and Tri-Motor Configurations
To enhance their efficiency and functionality, motor vehicle manufacturers are now incorporating dual motor and tri-motor elements that enable one to control the torque given to different wheels. Each axle has its motor allowing a dual motor set up to implement all-wheel drive. A third motor that helps in augmenting the torque is added to the two-motor setup which provides impressive acceleration and stability a third motor configuration is common.
Several advantages come with these multi-motor configurations like they improve stability and traction, especially in adverse situations. Since these vehicles can vary the traction of every motor, they are best suited for off-road driving, and also in winter conditions, since the vehicles can ensure maximum grip on different surfaces. For this reason, which is a key factor for many consumers, EVs outperform single-motor systems.
Moreover, multi-motor configurations increase energy efficiency. At low speeds, the vehicle uses only one motor, lowering energy consumption and extending the vehicle’s range. The extra motor or motors come into play during acceleration, or power when the vehicle is driven at a higher speed. The principles of tri-motor layouts have been evident in the Tesla Model S Plaid and the Rivian R1T, where agility and speed have been taken to new heights. Automotive companies that make electric vehicles see the need for a multi-motor design to give consumers power, efficiency and stability.
4. Lightweight Materials and Advanced Design Techniques
As a vehicle with less weight requires less energy for motion, it is essential to reduce vehicle weight to improve the range and efficiency of the EV. The design of the powertrains and the other components of the electrified vehicles in the current era is evolving with the use of advanced light materials and modern engineering practices economies which lead to improved vehicle performance without compromising on strength or safety.
Further, the body structures and powertrain parts of electric vehicles are fabricated using materials such as carbon fibre-reinforced plastics and aluminium. Being less dense in weight but having high strength, the manufacturers are even able to reduce weight without compromising safety levels through the use of these materials. This is owing to the highly combative nature against corrosion and the significant strength versus weight ratio that aluminium provides especially to motor housings and battery enclosures.
Advanced technologies such as 3D printing and associative layer manufacturing systems have also started to change the dynamics of the making of electric vehicle parts. The inventive approaches include the production of non-standard shapes and systems or structural elements of high complexity that could not be manufactured by classical approaches. Costs for material waste and speed-up cycles of creativity and expense through additives are some of the advantages of the technology called additive manufacturing. These techniques have been employed by companies such as Ford and BMW to manufacture lightweight and high-strength components, proving that material and design development is worth it in terms of vehicle range and efficiency.
5. Wireless Power Transfer
Today, one of the most advanced approaches to EV charging is wireless power transfer (WPT) technology, which can potentially render the requirements for physical plug-in connection obsolete. With WPT technology, it becomes easier to charge energy sources, and new possibilities emerge, such as charging on the go on high-speed roadways using a charging mat for the electric vehicle.
Electric vehicles equipped with wireless receivers can charge while driving on roadways that have the power supply system built into them due to the application of electric dynamic wireless power transfer technology. This system could potentially eliminate the waiting period usually associated with charging EVs, thus improving the range of the vehicle to an unlimited degree, provided the vehicle is equipped with relevant charging infrastructure. Dynamic charging in particular could be beneficial for fleet vehicles and public buses where there is little downtime.
If an EV is parked and positioned above a charging pad, wireless charging allows the vehicle to charge without user intervention. This wireless charging system is particularly appealing to commercial and household electric vehicle users as it minimizes the stress on charging ports. WPT is still in its infancy stage but it will revolutionise the concepts associated with electric vehicle charging infrastructures.
In conclusion, developments in silicon carbide semiconductors, solid-state batteries, multi-motor systems, lightweight structures, wireless power operations and robotics driving systems are revolutionizing electric vehicles hence taking the EV powertrain market from the automotives. To address the impacts of the first battery-powered vehicle designs and make the alternative of electric mobility more practical, inexpensive, and eco-friendly for clients and businesses, such progress is indispensable. Without the advancement of EV powertrain technologies, it is unlikely that there will be significant growth in the number of EVs as well as a movement towards cleaner forms of transportation.
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Latex Surgical Glove Market size worth US$1,818.700 million by 2030
Press ReleasesThe latex surgical glove market is expected to grow at a CAGR of 5.25% over the forecast period to reach a market size of US$1,818.700 million in 2030 from US$1,561.911 million in 2025.
Latex surgical gloves are natural rubber gloves that are used as protective gear in medical and surgeries. It is used in surgeries by the doctor to ensure that no germs are transferred between the patient and the doctor, hence ensuring hygiene and safety. It is flexible and comfortable for healthcare providers as it is designed to fit the hands.
The growing number of surgeries is due to an increase in the number of diseases as well as an increase in the disposable income of the people. This has led to an increase in demand for surgeries for better health propelling the market growth of latex surgical gloves which is a must for ensuring safety during the surgical procedure. Further, the increased rules and regulations by the authorities are leading to an increased demand for latex surgical gloves for ensuring hygiene and safety, Moreover, we are witnessing an increased number of health check-ups than earlier due to increased healthcare infrastructure and rising disposable income with the people leading the market of latex surgical gloves to grow.
The latex surgical gloves market is experiencing some significant and innovative key developments driven by material technology, and enhancement in safety standards to market players are striving to achieve a competitive edge over others to meet the evolving customer needs. For instance, USMGC which is a key market player in the latex surgical gloves market, has acquired a polyisoprene chemical facility in South Carolina and become the only end-to-end, made-in-America producer of both nitrile and polyisoprene medical gloves for advancing in the North American latex surgical gloves market.
The latex surgical glove market by type is segmented into powdered and non-powdered. Powdered surgical gloves are a type of gloves that contain a light coating of powder for making the donning of the gloves easier. This coating is generally of cornstarch. Non-powdered surgical gloves, on the other hand, are free from powder rather they are treated with the coating of a polymer for the donning of the gloves. In the forecast period, non-powdered surgical gloves are anticipated to grow faster than powdered or they will even dominate the market for non-powdered reducing the powdered surgical gloves to the margin of non-powdered gloves are cleaner and thus given more preference. At the same time, some governments have banned powdered surgical gloves such as it is banned in the USA from 2017 as it exposes substantial risk of illness or injury to the individuals who are exposed to it.
The latex surgical glove market by end-user is segmented into hospitals, medical centers and ambulatory surgery centers. Hospitals need latex surgical gloves during medical and surgical procedures. Medical centers generally catering to small-scale procedures do need these gloves at smaller scale. Ambulatory surgery centers need surgical gloves during their minimally invasive procedures. During the forecast period, the hospital segment is anticipated to grow faster than others and will dominate the market as there is a high volume of medical and surgical procedures going on leading to large-scale demand by the hospitals.
Based on geography, the North American and European markets are anticipated to hold a significant share of the latex surgical gloves market. Various reasons are attributed to the growing trend of the demand for latex surgical gloves in the North American and European markets. The high expenditure cost along with strict guidelines and rules & regulations of the government in these regions regarding safety standards is leading to an increase in the market demand for latex surgical gloves. At the same time, the strong focus of governments on healthcare is encouraging development in safety standards as well leading to an increased innovation in surgical gloves.
The report includes the major players operating in the latex surgical glove market: Cardinal Health, Medline Industries, Inc., Molnlycke Health Care AB, Top Glove Corporation Bhd, Sempermed USA, Inc., Budev BV, Kossan Rubber Industries Bhd, Nulife, KANAM LATEX INDUSTRIES PVT LTD. and RFB LATEX LTD.
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The market analytics report segments the latex surgical glove market as follows:
Artificial Intelligence In Social Media Market size worth US$6,748.861 million by 2029
Press ReleasesAI in the social media market is expected to grow at a CAGR of 28.53%, reaching a market size of US$6,748.861 million in 2029 from US$1,924.194 million in 2024.
The market is flourishing as the application of artificial intelligence for offering real-time information about target audiences is getting popularized in social media and the adoption of AI in several social media applications for effective advertisement. Another aspect responsible for the market development of AI in social media is the outburst of data, generated when social media platforms spit out. On the contrary, privacy and data security issues act as a hindrance to the overall growth of this market. Opportunities to mushroom this market growth can also be expected to come from employing available machine learning platforms for the social media segment during the forecast.
Moreover, social media is not just for being in touch with distant relatives or posting updates about personal events. Today most social media platforms are keen on AI-based services to widen the market for related AI products to improve revenue. They go ahead with targeting specific advertising campaigns based on user interests over the platform, generate content according to the trend or user type, and improve services according to individual user preferences, creating a better overall experience. Other examples of AI use in social media comprise personalized content recommendations, image and video recognition, fraud detection, and even trend analysis. There are, however, several areas where AI will have a specific role to play today and in the future. New applications are being developed to provide users with even better experiences, as we move into an era of ever-greater and broader applications of AI in social media.
Further, the major reason that is driving the market is the growing demand for personal experiences and personalization as well as experienced content. Consumers today expect a customized way of speaking to their preferences, habits, and interests. AI plays a very important role in achieving this personalization. Using sophisticated algorithms, the AI can evaluate the user data, including browsing history and social media interaction, for suggesting content, goods, and services extremely applicable and validated for every user. It reflects the conversion rates for businesses improving user engagement. The requirement for AI-enabled social media solutions is expected to shoot up as customers increasingly demand a personalized affair while they navigate the web.
Additionally, AI has affected social media advertising now. Using user input, the AI can create extremely specific advertising campaigns. It maximizes the effectiveness of the campaign and increases ROI by ensuring that the right audience gets the right message at the right time. AI is also capable of optimizing ads in real time; it allows marketers to change their tactics based on performance indicators. Last but not least, AI improves ad placement based on user preferences and behaviour. AI-driven ad targeting presents itself as an undeniable case to make AI investments in social media for better use of advertising budgets.
By technology, Artificial Intelligence (AI) In Social Media market is segmented into two major categories, machine learning and deep learning and Natural Language Processing (NLP). Technological advancements have played a very prominent role in the growth of AI in the social media market. Most importantly, the advances made were those of highly sophisticated machine learning algorithms, natural language processing, and computer vision capabilities that now many social media platforms can turn AI into different applications. AI-influenced Chatbots are indeed developed to give a more humanistic and efficacious style of interaction that enhances user experience and customer service. These also identify and remove offensive or harmful content from users’ searches, ensuring an even safer experience while surfing online. The AI-generated text and image contents have also grown increasingly valuable and compelling for social media marketing. However, AI-based recommendation systems have become even more effective in personalizing content to each user’s preference, increasing user satisfaction and engagement with the platform.
The Artificial Intelligence (AI) In Social Media market by application is segmented into sales and marketing, customer experience management, predictive risk assessment, and image recognition. The sales and marketing segment deals with the use of AI to enhance user interaction, advertising, and brand marketing on social media platforms. These companies use AI-based solutions for customer engagement activities, personalization of content, as well as targeted advertising. When it comes to user behaviour and preferences, the AI algorithms optimize the placement of advertisements to make it a lot couched in the marketing campaign. With the contribution of AI to this field, companies can set schedules based on what is appropriate for audiences receiving the specific message at a particular time.
The Artificial Intelligence (AI) In Social Media market by end-users is segmented into retail, BFSI, E-commerce, media and advertising, and others. The retail segment’s growth is anticipated to be driven by the increasing use of social media for online shopping and other e-commerce activities. Social media platforms are growing in popularity as retail companies use them to improve their relationships with customers. Retail brands benefit from AI in social media by being able to predict marketing trends, improve the effectiveness of their promotions, outperform their rivals, and more. AI enables the retail sector to provide data-driven in-store experiences, personalized product recommendations, and image recognition searches through social media posts to uncover hidden patterns.
Based on geography, the Asia Pacific region of the Artificial Intelligence (AI) In Social Media market is growing significantly. AI is expected to see substantial growth in the Asia Pacific social media market shortly. This area has historically had high levels of innovation in several fields, such as automation, robotics, and artificial intelligence, which has helped to create an environment that is favourable for AI’s growth in this industry. As digital trade develops, online platforms are being adopted by businesses and individuals more frequently.
Furthermore, more effective AI processing in the Asia Pacific area is made possible by developments in digital infrastructure, such as enhanced internet connectivity, data centres, and cloud computing. Regional governments have also called for unity and interconnectedness in order to improve financial cooperation among participating trade partners and integrate markets.
As a part of the report, the major players operating in the Artificial Intelligence (AI) In Social Media market that have been covered are Adobe, AWS, Google LLC, and IBM Corp., Meta, Microsoft, Salesforce Inc.
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The market analytics report segments Artificial Intelligence (AI) In Social Media market as follows:
EV Solid State Battery Market is expected to grow at a CAGR of 41.39%
Press ReleasesThe EV solid-state battery market is expected to register a compound annual growth rate (CAGR) of 41.39% during the forecast period (2024-2029).
An electric vehicle (EV) solid-state battery employs a solid electrolyte material instead of liquid or gel polymer electrolyte, thus making it a safer and more stable option with the prospects of a higher energy density option. It has diverse advantages like a higher energy density, longer driving ranges, improved safety due to being non-flammable, shorter charging time, and longer lifespan of batteries. Batteries of these types are easy to use for EV owners and can potentially change the EV market significantly by allowing for long ranges within short charging times and high levels of safety. The problem of fires and explosions is also mitigated by the fact that solid electrolytes cannot catch fire.
The market for EV solid-state batteries is emerging and is driven by various technological and regulatory advances. Solid state batteries possess fire retardant characteristics and inherent lesser thermal runaway tendency, making them safer in use than conventional lithium-ion batteries. Dense energy storage capabilities lead to elevated driving ranges due to internal design. Quick charging periods with extended cycle duration enhance the convenience associated with ownership of an ecologically friendly automobile. In addition, there is a potential market for EVs with batteries built on this technology with minimal reluctance to fossil fuel energy sources and consequently lesser greenhouse gas emissions as well as air pollutants.
The market is witnessing diverse collaborations and innovative technological advancements, for instance, in June 2023, BASQUEVOLT, a company that specializes in solid-state technologies for mobile and stationary energy storage systems, announced that its R&D facility will provide 100% European-designed and manufactured solid-state batteries by the end of 2023, with support from EIT InnoEnergy, the European Institute of Innovation and Technology.
Based on vehicle type, the EV solid state battery market is categorized into passenger cars and commercial vehicles. The market for EVs solid-state batteries will expand mostly in the market for passenger cars due to the high demand, the growing public awareness of environmental issues, supportive government policies, and the technological advancements in EVs. In addition, solid-state batteries are mainly designed to provide high energy density and reduced charging time, which is useful as range anxiety is a very common issue among the owners of passenger cars.
Based on propulsion, the EV solid state battery market is classified into plug-in hybrid electric vehicles, hybrid electric vehicles, and battery electric vehicles. An increase in demand for Battery Electric Vehicles (BEVs) is expected to propel the growth of the EV solid-state battery market owing to factors such as the adoption of BEVs and safety improvements of such battery devices alongside increased sales. Solid-state batteries permit longer ranges and render shorter refueling intervals, which are two characteristics associated with BEVs. In addition, the increasing ready acceptance of all-electric cars as well as government support are increasing the uptake of BEVs hence making them a fundamental driver of the EV solid-state battery market.
Based on geography, the EV solid state battery market is extending majorly in the Asia Pacific region due to various factors. The Asia-Pacific region encompasses key nations including China, Japan, India, and South Korea which are economically growing countries. The factors for EV solid-state battery market growth projection are escalating economic growth, coupled with the sizeable production bases that will propel its demand. Moreover, within the region, China is regarded as the leading country as far as the solid-state battery market is concerned. It is also projected to be the largest market for EVs in the world. This, in turn, will boost the need for EV solid state batteries demand which has fueled the expansion of the regional market.
As a part of the report, the major players operating in the EV solid state battery market that have been covered are Toyota Motor Corporation, Contemporary Amperex Technology Co., Limited., BYD Motors Inc., Panasonic Life Solutions India Pvt. Ltd., Ampcera, Hyundai Motor Company, Renault Group, Samsung SDI Co. Ltd, Volkswagen AG, Mitsubishi Motors, Ford Motor Company, General Motors, Stellantis NV, and LG Chem Ltd.
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This analytics report segments the EV solid state battery market on the following basis:
Revolutionizing Healthcare: The Role of AI in Precision Therapies
Thought ArticlesThe utilization of artificial intelligence is widespread and is transforming our working and living conditions dramatically. Some technologies we interact with daily, for example, social networks, mobile devices, smart home systems, and online retailing, are a product of AI. It is used by platforms to analyze a person’s voice; predict what goods one would wish to purchase and even suggest what next one should read or watch. The growth of AI is in the driving seat of the revolution of technology by enhancing automation and invention. The application of AI in organizations is to facilitate decision-making processes, forecasting trends and enhance operations. Every new advancement in AI is changing the face of industries, making it difficult to sideline its role in the future of technology.
Artificial intelligence is changing the nature of the healthcare sector by providing means to address various issues on patient care, diagnostics, and even the overall operation of the healthcare engineer. Medical resources can be analyzed with the help of AI systems, which not only assist doctors in their work but also save a lot of time. For example, by analyzing lab tests, medical history, and imaging studies, AI can help screen for diseases such as cancer, heart disease, or brain disorders with improved speed and accuracy.
AI is reshaping the healthcare industry by impacting care for patients and diagnosis of diseases, as artificial intelligence is transforming the provision of medical services. It enables the provision of customized treatment approaches and early diagnosis. Thanks to AI, medicine is entering a new age of precision and efficacy regarding accuracy. Patient outcomes are improving, the accuracy of diagnosis is rising, and healthcare processes are managed faster through the use of large volumes of data and advanced algorithms which has also increased investments in the healthcare industry, for instance as per the Economic Survey 2023-24, Indian government health expenditures accounted for 1.28 percent of GDP in 2018-19 and increased to 1.9% in 2023-24.
Figure 1: Percentage of Increased Investment in Healthcare, India, 2018 to 2024
Source: Economic Survey
Further, AI has revolutionized healthcare in the following ways:
AI in precision therapies have significantly advanced cancer care. Tempus, IBM Watson Health, and similar companies are pioneering oncology by integrating clinical, genomic, and treatment data. AI (artificial intelligence) systems can predict how well a specific drug will work against the tumour, making the risky trial-and-error approach in treatment a thing of the past.
For instance, a conventional diagnostic method works at about 65% accuracy. AI models published in the Register of Oncology evaluated suitable cancer therapies at an 87% efficiency. This is particularly the case for targeted therapies. These are drugs that are designed to kill only the cancerous cells leaving healthy tissues intact.
Diagnosing uncommon conditions such as rare diseases, which usually lasts for years and involves a lot of guessing, is another field of practice where artificial intelligence excels. Companies such as Deep Genomics have been looking at genetic disparities and searching for potential drug development opportunities for rare conditions with the help of A.I. A World Economic Forum report published in 2023 stated that the introduction of A.I. has helped reduce rare disease diagnosis time by as much as 50%.
A diagnostic technology that is virtually unheard of until the recent advancement is aided by AI. Massive amounts of data, including but not limited to genetic material, clinical histories, and pictures for assessment, are subjected to machine learning methodologies to identify “hints” that wouldn’t be recognizable to a human specialist. For instance, some of these systems can evaluate DNA sequences to assess the chances of sick predisposition or analyse diagnostic images to reveal potential tumours before they become visible in human patients. This is advantageous for healthcare providers because all these capabilities enable timely corrective measures, which in turn improve the health of the patients’ populations.
Moreover, by identifying patients destined to suffer from certain illnesses, for example, AI simplifies risk stratification. AI systems aggregate data available on patients e.g. wearables, EMR and geolocation data, generating complex risk profiles for every individual. This allows the patients and the health care providers to mitigate the risks associated or changes.
Traditional approaches to drug discovery often take longer and involve more costs making them less effective. In this case, artificial intelligence is seen as a solution since it enhances the selection of drug candidates and reduces the time taken for clinical trials. In recent years, machine learning models have become extremely efficient in analyses of several molecular models, predicting the outcome of drugs, and identifying drugs that are potential candidates for treating certain diseases. This ability shortens the duration for implementing new treatment options leading to reduced expenses and expanded access to modern treatment solutions.
Moreover, AI focuses on finding predictive biomarkers of patient responses to treatment for the sake of precision therapy development. This ensures that the treatments not only work but are also tailored to avoid negative responses. Through the introduction of AI in drug development, pharmaceutical companies are relieved that they can focus on treatment curation in line with precision medicine.
AI has proven to be remarkably efficient in understanding patient information, with an ability to design personalized treatment regimens. For example, AI systems can analyze the tumour genetics in patients suffering from cancer to recommend the most appropriate measures while ensuring that each patient receives care that suits his or her needs and context the most. Similarly, algorithms in AI robotics in medicine regarding cardiology have also advanced to a level where the system can offer the patients the dosages of drugs which are over a period and specific to their physical health and lifestyle practices measured.
Moreover, systems powered by AI can also monitor patients at all times and make changes to the treatment plans whenever necessary. The patient wears devices that allow their vital signs and health information to be recorded at all times, and all this data helps the doctor to change the treatment when there are any changes in the patient’s condition. It helps in this regard because the treatment regime is dynamic and is bound to be effective throughout the treatment.
In conclusion, the healthcare delivery model is being transformed significantly with the integration of AI technology which aims to revolutionize the future of precision therapies within a short – medium-term time frame. AI enhances the delivery of healthcare services by promoting early diagnosis, shortening the treatment development process and also tailoring treatments to patients’ specific characteristics. However, for these technologies to be maximally beneficial, the stakeholders must also deal with the ethical and practical concerns that accompany such a revolution. Naturally, one of the more precise elements of modern medicine – precision medicine – will incorporate Artificial Intelligence in more, and more effective ways, which draws a line to a time when healthcare would be patient-centric, fair and advanced.
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Medical Device Security Market size worth US$10.910 billion by 2029
Press ReleasesThe medical device security market is expected to expand at a CAGR of 8.51% over the forecast period, reaching a market size of US$10.910 billion in 2029 from US$7.252 billion in 2024.
Manufacturers of medical devices are continuously developing innovative, highly complex, and more connective devices. These products offer a wide range of advantages, incorporating improved medications, more precise diagnostics, a better understanding of monitoring, computerized control, and focused details and data monitoring. Further, this enlarged network of devices provides opportunities for both patients and suppliers to benefit. Although these companies are heavily investing in the development of new medical gadget advancements, they usually fall short on security mastery and assets to ensure irrefutable levels of security are integrated into these things.
The market of medical device security is expected to witness a significant boost due to the increasing utilization of cloud-based solutions by hospital infrastructure that presents a threat to data theft of valuable patient data as well as hospital information. Moreover, the expanding employment of IoT-connected medical devices has created a vast interconnection requiring a secure device, increasing cybersecurity threats like ransomware attacks also requiring medical device security solutions. Further, the growing adoption of Telemedicine or connected medical devices in countries will enable patients to communicate with healthcare facilities through their homes which is positively impacting the growth of the market.
The market is witnessing diverse collaborations and innovative technological advancements, for instance, in May 2024, the Advanced Research Projects Agency for Health (ARPA-H) introduced the Universal Patching and Remediation for Autonomous DEfense program which is a cybersecurity initiative to improve and automate cybersecurity in healthcare facilities. The program invested more than $50 million in creating apparatuses for IT teams to better protect hospital areas, guaranteeing the coherence of patient care.
Based on the type, the medical device security market is divided into endpoint security, application security, cloud security, and network security. Endpoint security is a major contributor to the growth of the market since it deals with securing a single medical IoT device, a single desktop computer, or a single mobile device. All of these devices can connect to various networks and therefore can attract potential threats in the form of cyberattacks. Some of the major factors that will propel the growth of endpoint security within the medical device industry include the rise in the number of connected medical devices and the rise in the number of cyber-attacks.
Based on the device type, the medical device security market is classified into hospital medical devices, wearable and external devices, and internally embedded medical devices. Hospital medical devices are the segment that will hold a major market share for the growth of the medical device security market. These devices such as MRI or CT machines, infusion pumps, and respirators, play a crucial role in providing health services. The rising globalization with increasing accessibility exposes these devices to prying cyber threats.
Based on the solution, the medical device security market is categorized into identity and access management solutions, antivirus or antimalware solutions, encryption solutions, and others. The market for medical device security is anticipated to grow on account of the rising need for identity and access management solutions. This is a consequence of the need to adhere to more stringent regulations and concerns regarding the potential loss of sensitive information. Solutions for identity and access management consist of systems that provide services such as user profile management, system and data access authentication, and policy enforcement.
Based on the services, the medical device security market is classified into professional and managed. The medical device security market is appearing to increase due to the increase in professional services which feature security evaluations, vulnerability assessments, incident response strategies, and related training programs. Professional services support organizations, especially in instances like helping organizations to comply with the regulations and offering various skills and knowledge related to medical devices.
Based on geography, the medical device security market is extending majorly in the North America region due to various variables. Healthcare in North America faces significant protection and security concerns due to digital patient records. Diverse regulations such as the Health Insurance Portability and Accountability Act (HIPAA) guarantee consistent advancement in cyber security solutions. North American countries like the US and Canada’s economies empower significant investment in R&D, driving the development of the IoT device market within the region resulting in the rise of requirements for medical device security.
As a part of the report, the major players operating in the medical device security market that have been covered are Cisco Systems, Inc., IBM, General Electric Company, Koninklijke Philips N.V., McAfee, LLC, Check Point Software Technologies Ltd., CloudPassage Inc., DXC Technology Company, Palo Alto Networks Company, and Cleardata.
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Medical Device Security Market is analyzed into the following segments:
The Future of AI Engineering: Trends and Innovations Shaping
BlogArtificial Intelligence or AI engineering is one of the newest and fastest-growing disciplines, which focuses on developing various types of AI-based tools, platforms, processors, and systems. Artificial intelligence engineering offers applications across a wide range of industries, majorly for the development of tools which includes autonomous systems, for manufacturing, automotive, energy, and retail among others.
The AI-based tools and platforms help in the elimination of various types of human errors, across multiple injuries, reducing the risk of accidents. It also helps organizations to understand, utilize, and analyze a wide quantity of data, which can be impossible for humans to perform, and it can also understand changes in trends. Artificial intelligence-based tools also help in improving the customer experience and can offer efficient customer support.
Use Case:
1. Increasing adoption of AI in the automotive industry
With the growing demand for AI and automation in the automotive in the global market, the utilization of AI engineering in the industry is expected to witness a significant surge. In the automotive market, artificial intelligence offers a wide range of applications. In the industry, artificial intelligence, helps the car manufacturer optimize the manufacturing process. Artificial intelligence is also been integrated into the vehicles, which helps to offer autonomous driving. In electric vehicles, artificial intelligence also helps the vehicle to establish connections between multiple cars, and it also provides a wide range of information, like vehicle conditions, passenger safety, and driving conditions.
International Organization of Motor Vehicle Manufacturers (OICA) in its sales report stated that the production of global automotives increased significantly over the past few years. The agency stated that in 2021, a total of 80.004 million units of automobiles were produced in the global market, in which the Asia-Oceania region accounted for a greater share, producing about 46.768 million automobiles, followed by 16.190 million produced in the American region, and 16.137 million produced in the European region. In 2022, the global production increased to 84.830 million units, with about 50.021 million vehicles produced in the Asia-Oceania region. In 2022, about 17.753 million units were produced in the American region, and about 16.032 million units were produced in the European region. In 2023, the global production witnessed an increase of about 17%, reaching 93.546 million units. In 2023, the total production of automobiles in the Asia-Oceania region was recorded at 55.115 million units, followed by 18.122 million and 17.753 million produced in Europe and the American region respectively.
Figure 1: Automotive Production Across the Globe, Million, 2021 to 2023
Source: International Organization of Motor Vehicle Manufacturers
2. Increasing investments in the AI sector.
The increasing global investments in AI technology are among the key factors propelling the growth of AI engineering in the global market. With increasing public or private investments in the AI technology sector, the global AI-based technology landscape is estimated to witness significant growth. Various countries across the globe introduced key policies and investment strategies to boost the AI landscape in their nation. Countries like India, China, Japan, the USA, and France are among the fastest developing nations in the technological sector, which aims to further boost the technological industries by developing the AI sector.
For instance, in July 2024, the Union Government of India, allocated over INR 551.75 crore from the union budget of the nation, for the IndiaAI mission of the nation. Through this investment, the government aims to enhance research and application of AI in the nation and seeks to strengthen the position of the nation as a leader in the AI sector. Similarly, SAP India, in its report, stated that about 77% of the start-ups in the nation invest in newer technologies like artificial intelligence, machine learning, and blockchain.
In November 2024, NHK (Japan Broadcasting Corporation) in its news stated that the Government of Japan plans to fund a sum of US$ 65 billion, for the development of AI and chipmaking in the nation. Furthermore, the Microsoft Corporation, in April 2024, announced the company’s investment of about US$2.9 billion in the AI and cloud infrastructure landscape in the nation. Through this investment, the company also aims to boost the research and cybersecurity landscape of Japan. The company also announced its aim to offer training in advanced technologies like AI to about 3 million individuals in the nation. The company plans to offer training through programs focused on society and organizations’ assistance. Similarly, in April 2024, Oracle, a global leader in the technological sector, also announced an investment of about US$8 billion for the development of AI and cloud computing landscape in Japan. The company aims to develop its footprint across the nation through Japan.
Key Developments
In the global AI-based technology market, AI engineering plays a critical role in enhancing the capability of AI technology across multiple industries. With the increasing global demand for AI technology across multiple industries and the introduction of key investment strategies and policies by the governments of various governments, the demand for AI engineering is set to achieve greater growth.
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