Dynamic Spectrum Sharing operates on the principle of dividing access and reallocating spectrum. Access splitting entails a Dynamic Spectrum Sharing-enabled base station supporting multiple access technologies simultaneously, such as 4G LTE and 5G New Radio. Re-farming involves the base station assigning users to a specific frequency band based on network conditions and traffic load. The sophisticated software algorithms in Dynamic Spectrum Sharing enable the base station to analyze traffic load and user characteristics, dynamically adjusting spectrum allocation. This innovative technology facilitates the coexistence of both older 4G LTE users and newer 5G NR users. Additionally, it enables the dynamic allocation of throughput and data rates to optimize overall performance, aligning with user and network requirements.
In the context of NR (New Radio), frequency bands catering to high-speed and high-capacity services are categorized into three main groups. The first category comprises a low-frequency band below 3 GHz, primarily utilized by LTE services and predominantly operating in a frequency division duplex (FDD) method. Following this, there is the mid-frequency band (mid-band) spanning from 3 GHz to 5 GHz. Lastly, the mmWave frequency band (mmWave-band) is situated between 24-40 GHz. Both the mid-band and mmWave-bands operate using time division duplex (TDD). Typically, NR is co-deployed alongside LTE sites, making use of existing LTE infrastructure. In a scenario where NR exclusively utilizes mid-band TDD carriers (with low bands reserved for LTE), it would experience greater propagation and penetration losses compared to the use of low-band FDD carriers. This inherent limitation of the mid-band frequency leads to reduced coverage, especially in the uplink (UL) transmission, resulting in coverage gaps. Figure 3 illustrates the coverage gaps that would be present in the hypothetical situation where NR operates solely on mid-band. The indoor coverage gap is a direct consequence of penetration loss in the mid-band frequency. Additionally, it’s noteworthy that the reduction in coverage is more pronounced in mmWave-band TDD carriers.
Dynamic Spectrum Sharing (DSS) facilitates adaptable resource management aligned with the penetration of NR (New Radio) User Equipment (UE) and the demand for NR traffic, ensuring optimal spectrum utilization. In the early stages of the NR market, the traffic demand for NR may not be substantial enough to necessitate the full utilization of available resources in the re-farmed band. Consequently, there is a risk of underutilization of resources in the re-farmed band that could be otherwise utilized for LTE traffic. Essentially, as long as LTE traffic predominates the market, some resources may remain unused.
However, DSS addresses this challenge by dynamically allocating resources based on traffic demands between LTE and NR throughout the entire spectrum. This feature requires coordination between LTE and NR schedulers, facilitating the exchange of traffic and resource-sharing status and the synchronized dynamic assignment of available resources. Through this sophisticated coordination, LTE resource allocation increases while NR resource allocation decreases during LTE traffic peaks, and vice versa during NR traffic peaks. This dynamic resource allocation accommodates instantaneous bursts in NR traffic, even in the early stages of the NR market, as well as the steady growth in NR demand over time as NR becomes mainstream.
Dynamic Spectrum not only expedites the expansion of 5G but also introduces new benefits for LTE users. The more efficient allocation and optimized utilization of frequencies results in an enhanced overall user experience for LTE users. The LTE band 1 at 2.1 gigahertz (GHz) plays a unique role in this context, having been previously utilized for 3G/UMTS. Through Deutsche Telekom’s 5G booster initiative, 15 megahertz from this frequency band have been utilized since June 2020 for LTE and 5G, dynamically dividing the spectrum. 5G is not a standalone network but is integrated into the 4G cell to enhance overall capacity. Aside from operating at the 2.1 GHz frequency, 5G also utilizes the 3.6 GHz frequency, which is presently allocated for use in major cities. This allocation decision is based on the characteristics of radio frequencies. The 2.1 GHz frequency facilitates long-range coverage at high speeds, making it well-suited for the expansion of 5G in broader areas. On the other hand, the 3.6 GHz frequency achieves exceptionally high data rates but over a shorter range, hence its application in metropolitan areas. The synergy between Dynamic Spectrum Sharing and the expansion of specific sites on the 3.6 GHz frequency band is a key factor contributing to the implementation of the new 5G standard.
Figure 1: Frequency of LTE Bands For 3G and 5G, in Gigahertz
Source: Deutsche Telekom
According to a research paper published by PubMed Central in June 2021, the adoption of DSS technology offers significant advantages, notably cost reduction for mobile operators and optimization of spectrum usage. This is attributed to the mobile network operator’s ability to reuse the existing 15 MHz bandwidth of LTE, eliminating the need to acquire additional dedicated 15 MHz for 5G services. In essence, deploying DSS technology proves beneficial, particularly during the initial rollout of 5G NR, as it allows operators to formulate strategies while presenting an initial 5G landscape to consumers using the already-in-use LTE spectrum.
Brazil’s National Telecommunications Agency (Agencia Nacional de Telecomunicacoes, Anatel) reported that as of December 31, 2021, the mobile operators in the country collectively reached a total of 1.210 million 5G subscriptions utilizing dynamic spectrum sharing (DSS) technology. DSS facilitates the simultaneous operation of 4G and 5G services within a single frequency band.
In the 3GPP Release 15, the introduction of a feature known as 5G DSS (Dynamic Spectrum Sharing) eliminates the necessity for refarming, significantly expediting the transition to 5G. DSS capitalizes on the commonality that both 4G LTE and 5G NR share OFDM technology and introduces techniques enabling these waveforms to coexist seamlessly within the same spectrum. Essentially, DSS enables the simultaneous presence of 4G LTE and 5G NR users in the same frequency band or channel, allowing an operator’s base stations and network to dynamically allocate channel resources between 4G and 5G users at each cell site. Consequently, 5G DSS transforms practically any band currently used for 4G LTE into a band ready for immediate 5G deployment. This feature is typically implemented in lower sub-6 GHz frequencies, offering superior 5G coverage compared to higher-frequency 5G bands. Furthermore, it provides additional capacity for 5G without the substantial delays associated with a more prolonged refarming process. While DSS introduces additional overhead to support the operation of 4G and 5G in the same band, the advantages of utilizing DSS for a gradual spectrum transition outweigh the impact on capacity.
On February 18, 2020, ZTE Corporation, a prominent global provider of telecommunications, enterprise, and consumer technology solutions for the Mobile Internet, introduced its SuperDSS solution. This solution stands out as an industry-leading approach to tri-RAT (Radio Access Technology) dynamic spectrum sharing. It represents a significant innovation within the 5G era, advancing the capabilities of the Magic Radio Pro solution to enable multi-RAT spectrum sharing when repurposing legacy FDD (Frequency Division Duplex) bands for 5G deployment. SuperDSS is designed for dynamic spectrum sharing encompassing 2G/4G/5G and 3G/4G/5G, making it an efficient means for rapid 5G deployment. Simultaneously, it facilitates the provision of legacy voice services over the 1800MHz or 2100MHz bands, ensuring optimal spectrum return on investment.
In April 2020, Nokia revealed the expansion of its AirScale portfolio through various innovative products aimed at meeting the changing requirements of 5G networks and enabling mobile operators to fully leverage the capabilities of 5G. This expansion involves the introduction of a Dynamic Spectrum Sharing (DSS) software upgrade applicable to existing Nokia AirScale base stations and the Nokia AirScale All-in-Cloud base station. This upgrade is designed to enhance network efficiency.
On April 13, 2022, Samsung Electronics Co., Ltd. and Virgin Media O2 jointly announced the successful implementation of multiple operational 4G and 5G sites in the United Kingdom, marking a significant progression in their collaborative efforts. Concurrently with this deployment, the companies achieved the inaugural 5G data call on Virgin Media O2’s commercial 5G network using these sites. Furthermore, the field tests conducted confirmed the interoperability between Virgin Media O2’s 2G/3G/4G networks and Samsung’s latest 4G and 5G solutions. The tests also validated the potential utilization of Samsung’s Dynamic Spectrum Sharing (DSS) capabilities.
In summary, Dynamic Spectrum Sharing represents an advanced communication technology that enhances spectral efficiency, minimizes interference, and creates new spectrum opportunities. While there are challenges to address, Dynamic Spectrum Sharing technologies bring innovation and increased capabilities to various applications, including 5G deployments, IoT services, broadband, and mobile network services. As 5G networks are rolled out, Dynamic Spectrum Sharing is poised to play a crucial role in spectrum reallocation processes, ensuring the optimal utilization of spectrum resources across low-band, mid-band, and mmWave frequencies.
Find some of our related studies:
Hybrid Cloud Market will be worth US$368.242 billion by 2028
Press ReleasesThe hybrid cloud market is expected to grow at a CAGR of 17.05% during the forecasted period, with a market valuation of US$122.366 billion in 2021 and is expected to reach US$368.242 billion by 2028.
The market for hybrid clouds is significantly impacted by the increasing implementation of cloud computing.
As per the report, the market for hybrid clouds is expected to witness significant growth during the forecasted period.
A hybrid cloud is an information technology infrastructure that allows organizations to implement their personal IT resources into the infrastructure and services of external cloud providers. Cloud computing is a type of hybrid cloud application, where enterprises can use both a private and public cloud infrastructure. One of the key growth drivers to propel the hybrid cloud market during the forecasted period is the growing adoption of cloud computing. As per the American Community Survey (ACS) conducted by the U.S. Census Bureau, the number of work-from-home people has shown a high rate of increase from 5.7% (approximately 9 million workers) in 2019 to 17.9% in 2021 (approximately 28 million workers), which is more than triple the amount. This growth in cloud-based work can provide the necessary boost in cloud infrastructure development, which will propel the hybrid cloud market during the forecasted period.
There have been several product launches and developments that took place in the hybrid cloud market during the forecasted period. These product developments help boost the growth of the market and introduce many innovations that can propel the hybrid cloud infrastructure. For instance, in May 2023, IBM announced the launch of IBM Hybrid Cloud Mesh, which helps enterprises regain control over their multi-cloud infrastructure. The IBM Hybrid Cloud Mesh makes use of Application-Center Connectivity and provides automation of processes, management and surveillance over application connectivity in and between public and private clouds which can help modern enterprises to operate their infrastructure across the hybrid multi-cloud and heterogeneous environments. Another instance is in June 2023, when Hewlett Packard announced the expansion of their hybrid cloud leadership with their HPE GreenLake platform innovation, expanded private cloud portfolio, partner ecosystem, and new cloud services. This expansion included the closing of the acquisition of OpsRamp and the implementation of a SaaS offering on the HPE GreenLake platform, which provides customers with AI-driven operation for multi-vendor, multi-cloud environments.
The hybrid cloud market has been categorized based on type, enterprise type, industry vertical, and geography.
Based on type, the hybrid cloud market is categorised into two types, which include software, and services. Hybrid cloud services make use of both software and infrastructure since software requires the use of advanced computing machines to conduct the tasks of the computing platform/software.
Based on enterprise type, the hybrid cloud market is categorised into two types which include small & medium, and large. Hybrid clouds provide a lot of benefits to Small and Medium Enterprises (SMEs), which include digital transformation, high-quality IT services, always up-to-date, dynamic scalability, intelligent work processes, and easy remote services.
Based on industry vertical, the hybrid cloud market is categorised into six types, which include BFSI, healthcare, retail, IT and telecom, manufacturing, and others. Hybrid clouds allow the BFSI sector to expand and scale its operations to meet the continually evolving needs of its customers.
By region, North America is expected to witness significant growth in the hybrid cloud market during the forecasted period. The factor that affects the market is the increasing usage of cloud computing, as well as the strong infrastructure that is already present in the U.S. to support rapid developments and innovation. As per the US Census Bureau, the amount of people who work from home through the use of cloud computing amounted to an estimated 28 million in 2021, which is triple the amount from 2019 (an estimated 9 million workers). This can be coupled with the strong and well-established IT infrastructure that supports data centres and cloud-based computing in the US. This strong infrastructure and increasing application of cloud computing can propel growth and development in the hybrid computing market during the forecast period.
The research includes several key players from the hybrid cloud market, such as Microsoft Corporation, Oracle, Google, Inc., Hewlett Packard Enterprise Development LP, IBM Corporation, Cisco, Amazon Web Services, Inc., Citrix Systems, Inc., Accenture, and NetApp.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/hybrid-cloud-market
The hybrid cloud analytics report categorizes the market using the following criteria:
Segmentation:
Dental Imaging Systems Market is estimated to grow at a CAGR of 8.64% to reach US$5,024.192 million by 2028
Press ReleasesThe dental imaging systems market was valued at US$2,812.709 million in 2021 and is anticipated to grow at a CAGR of 8.64% over the forecasted period to reach a market size of US$5,024.192 million in 2028.
The market for dental imaging systems is significantly impacted favorably by the growing prevalence of dental diseases.
As per the report, the market about dental imaging systems market is expected to upsurge during the forecast period.
Dental imaging systems are sophisticated technological devices used in dentistry to capture detailed images of teeth, jawbones, and other oral structures. These systems are critical for diagnosing and visualizing a wide range of dental conditions and provide high-quality radiographic images to dentists, which aid in the detection of dental diseases, abnormalities, and treatment planning.
According to the World Health Organization, oral diseases affect nearly 3.5 billion people worldwide, with 3 out of every 4 people affected living in middle-income countries. Additionally, caries of permanent teeth affect an estimated 2 billion people worldwide, with 514 million children suffering from caries of primary teeth.
The dental imaging systems market has been categorized based on technology type, type, application, and end-users.
As per the technology type category, the market has been classified into 2D imaging and 3D imaging. 3D imaging is emerging as a major market driver. The combination of 3D imaging and artificial intelligence (AI) is improving the accuracy and efficiency of dental imaging, resulting in better diagnosis treatment planning, better patient outcomes, and lower healthcare costs which increased the adoption and account for a major share of the dental imagining system market.
Based on type, the market has been classified into intraoral, and extraoral segments. The intraoral imaging segment is expanding rapidly. This expansion can be attributed to the growing demand for accurate and detailed dental problem identification, as well as the affordability, and low operational and maintenance costs associated with intraoral imaging systems which account for a sizable portion of the dental imaging system market.
Based on application, the market has been classified into implantology, oral & maxillofacial surgery, forensics dentistry, and others. Oral and maxillofacial surgery is growing rapidly in the dental imaging system market as it involves the diagnosis and treatment of numerous diseases, injuries, and defects in the head, neck, face, jaws, and hard and soft tissues of the mouth which makes it appealing option to adopt, pushed the dental imaging system market upwards.
Based on end-users, the market has been classified into dental clinics & centers, and hospitals. Dental imaging systems are widely used in dental clinics & centers as these systems help to increase efficiency, provide better patient care, and improve practice management. Their use is becoming more common in modern dental clinics and centers resulting in more efficient operations and higher patient satisfaction and thus increasing the widespread use of these systems in dental clinics and centers.
Based on region, North America is anticipated to have the quickest CAGR throughout the projection period due to increasing dental diseases in the region. Therefore, according to the Centers for Disease Control and Prevention, 42% of adults suffer from gum disease. The prevalence of dental disease among adults, 65 and older rises to 60% in the United States. Additionally, according to the National Library of Medicine, Mexico is one of the countries with the highest prevalence of oral diseases, particularly dental caries, which affects more than 90% of the Mexican population.
As a part of the report, Dentsply Sirona, Aceteon Group, Midmark Corporation, PLANMECA OY, Owandy Radiology, VATECH, Ray Co. Ltd, Planet DDS, Genoray Co. Ltd, and Align Technology Inc. are the major players in the dental imaging systems market.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/dental-imaging-systems-market
This dental imaging systems market has been analyzed into the following segments:
Oil and Gas Analytics Market is projected to expand at a CAGR of 14.02%, reaching a value of US$45.827 billion by 2028
Press ReleasesThe global oil and gas analytics market is expected to grow at a CAGR of 14.02% during the forecasted period, with a market valuation of US$18.287 billion in 2021 and is expected to reach US$45.827 billion by 2028.
The escalating demand for oil and gas, technological advancements, and the incorporation of artificial intelligence and the Internet of Things (IoT) are recognized as significant drivers contributing to the growth of the global oil and gas analytics industry.
As per the report, the oil and gas analytics market is expected to grow significantly.
Oil and gas analytics empower companies in the industry to make decisions based on scenario analyses related to oil exploration and production. This sector heavily relies on data-driven approaches, employing techniques like statistical analysis, machine learning algorithms, and predictive modelling for precision. The anticipated surge in demand for oil and gas, combined with continuous technological advancements in exploration within the oil and gas sector, is likely to drive the growth of the global oil and gas analytics market.
The growth of the global oil and gas analytics market is primarily driven by various key factors, including the rising demand for oil and gas, heightened competition in the industry, financial resources, and increased public oversight. According to the International Energy Agency (IEA), the projected oil demand for 2023 is expected to reach 101.2 million barrels per day, with an anticipated increase to 102.3 million barrels per day in 2024. However, in contrast, the supply is projected to remain insufficient, indicating a demand-supply gap in the supply chain. According to the IEA, the supply in 2021 was 63.9 million barrels per day, and a similar trend is expected to persist. Additionally, continued investments in oil exploration activities and project developments have created a favourable environment for the growth of the global oil and gas analytics market.
Based on service, the market can be segmented into professional, cloud, and integration. In terms of deployment platforms, the worldwide oil and gas analytics market is categorized into on-premises and cloud. Numerous enterprises have embraced the use of cloud platforms for analysing their business operations. Cloud-based services provide improved reliability and reduced downtime. Furthermore, handling large sets of data has become more straightforward through cloud services. The convenience of remote and connected operations is also offered by cloud services, benefiting oil and gas companies. In July 2023, ABB unveiled a new Input/Output (I/O) series named XIO, specifically crafted to address the digital needs of oil and gas fields. XIO facilitates swift connectivity expansion, leading to enhanced production and reduced costs associated with traditional equipment upgrades.
Categorized by application, the global oil and gas analytics market is divided into upstream, midstream, and downstream segments. To mitigate potential risks linked to logistics and transportation, oil and gas enterprises employ analytics. Conversely, there is promising growth potential in the downstream segment for the forthcoming years, which oversees the distribution and sales processes to consumers. Predictive oil and gas analytics are utilized by companies in the oil and gas sector for managing the distribution and sales procedures in this segment.
The United States is anticipated to show significant growth in the oil and gas analytics market. The increasing emphasis on enhancing the exploration of unconventional wells is anticipated to influence the growth of the oil and gas analytics market. The country’s oil and gas sector has experienced an upward trajectory, undergoing significant digitalization in recent years, with a substantial rise in the emphasis on analytics. Moreover, the growing awareness regarding digital oilfields and the evolution of drilling, exploration, and transportation are expected to propel the oil and gas analytics industry in the United States throughout the forecast period.
Major players in this market are Cognizant, Rolta India Limited., Quantzig, Alteryx, IBM, Northwest Analytics, Inc., Teradata, SAP, SAS Institue Inc.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/global-oil-and-gas-analytics-market
This analytics report segments the potassium citrate market on the following basis:
Segmentation:
5G on the Horizon: Charting the Future of Telecommunications in Africa
Thought ArticlesThe advent of 5G technology in Africa marks a significant leap forward in the continent’s technological landscape. As countries across Africa embrace the potential of 5G, there is a growing emphasis on revolutionizing communication, connectivity, and technological innovation.
5G promises to offer faster and more reliable internet connectivity, enabling advancements in various sectors such as healthcare, education, agriculture, and industry. The increased bandwidth and reduced latency of 5G networks can lead to transformative changes in how Africans access information, communicate, and conduct business.
As per Ericsson’s Mobility Report, Sub-Saharan Africa is anticipated to witness a surge in 5G subscriptions, reaching 180 million by 2029. Despite a global economic downturn, the economies of Sub-Saharan Africa are poised for robust short-term growth at a rate of 4 percent. Concurrently, the report projects a 3 percent year-on-year increase in total mobile subscriptions over the next six years, with a notable 9 percent rise in 4G subscriptions, presenting a favorable market opportunity for service providers. Additionally, the rising adoption of smartphones, particularly affordable devices, is expected to contribute to an annual growth of over 20 percent in data consumption per smartphone during this period, escalating from 6.7 GB per month to 23 GB per month.
Figure 1: Annual Percentage growth in sub-Saharan Africa, in mobile and 4G subscriptions, and data consumption
Source: Ericsson Mobility Report
One of the key benefits of 5G in Africa is its potential to bridge the digital divide, providing more equitable access to high-speed internet in both urban and rural areas. This connectivity is crucial for fostering economic development, supporting entrepreneurship, and enhancing overall quality of life. Governments, telecommunications companies, and tech innovators are working collaboratively to deploy and expand 5G networks across the continent. While challenges such as infrastructure development and affordability remain, the positive impact of 5G on Africa’s technological future is increasingly evident.
For instance, on November 16, 2023, during the Africacom 5G Summit, GSMA Intelligence collaborated with ICASA, MTN South Africa, and Huawei to unveil a white paper titled “5G FWA in Africa, Emerging Trends and Opportunities.” This document thoroughly examines the present developmental patterns and forthcoming prospects for 5G Fixed Wireless Access (FWA) services in Africa.
Internet accessibility in Africa is severely restricted, with only 22% of the population having the means to connect. The inadequate infrastructure further hampers the widespread adoption of internet connections in Africa, as the exorbitant cost of data acts as a barrier to rapid expansion. The Southern African Development Community (SADC), mirroring the trends seen across the entire African continent, has been incrementally enhancing initiatives to increase internet access through internet connectivity. This is particularly crucial as SADC’s internet access rate, currently standing at 2%, ranks among the lowest globally.
The March 2023 report from ICASA regarding the state of the Information and Communication Technology (ICT) sector in South Africa revealed that the National 5G population coverage in 2022 was 20% but with no coverage in rural areas. This lack of coverage particularly affects provinces with rural populations, including the Free State, Limpopo, Mpumalanga, and the Northern Cape. The absence of 5G infrastructure in these regions underscores the ongoing challenges in providing advanced telecommunications services to rural communities. Addressing this issue is crucial for ensuring equitable access to technological advancements and promoting digital inclusion across all regions of South Africa. Efforts to expand 5G coverage in rural provinces are essential to bridge the digital divide and foster comprehensive development in the country.
On August 25, 2023, the Ghanaian Government declared its intention to establish a joint 4G and 5G network in collaboration with operators and private investors. The Minister of Communications and Digitalisation, Ursula Owusu-Ekuful, clarified that instead of auctioning the 5G spectrum, the government plans to establish a neutral shared network facilitating mobile services through both 4G and 5G spectrums. The Minister further explained that a consortium comprising network operators and private investors will work together to provide nationwide 4G and 5G services, aligning with Ghana’s goal of extending services to rural areas and advancing its digital transformation agenda. Additionally, Owusu-Ekuful revealed that the government has approved the introduction of two new subsea cables to enhance accessible and affordable internet connectivity.
Some of the major market developments in the African region are:
In essence, the advent of 5G technology in Africa marks a crucial juncture in the continent’s ongoing process of digital evolution, unlocking unprecedented opportunities for innovation, fostering economic growth, and significantly enhancing connectivity for individuals within varied communities. This transformative technology not only accelerates the pace of technological advancement but also plays a pivotal role in shaping the socio-economic landscape of Africa, positioning the continent on the forefront of global digital progress. With the potential to revolutionize industries, empower businesses, and improve the overall quality of life, 5G in Africa holds the promise of a more connected, technologically advanced, and prosperous future for its diverse population.
Find some of our related studies:
Artificial Intelligence (AI) in MRI Market is estimated to reach a market size of US$1,539.622 million by 2028
Press ReleasesThe artificial intelligence (AI) in MRI market was valued at US$181.720 million in 2021 and is anticipated to grow at a CAGR of 35.7% over the forecasted period to reach a market size of US$1,539.622 million in 2028.
The AI in the MRI market is influenced by factors such as the increased need for medical imaging services and the rising prevalence of Alzheimer’s disease are contributing factors.
The artificial intelligence sector within the MRI market is expected to experience consistent growth throughout the projected period. This growth is driven by various factors, including a rise in collaborative efforts and partnerships across different industries, government initiatives supporting the adoption of AI technologies, the integration of artificial intelligence tools in the medical field, and heightened financial support for AI-focused startups from private entities. In recent times, there has been a notable surge in interest in medical devices with machine-learning capabilities. The FDA has reviewed and approved an increasing number of devices that incorporate machine learning, anticipating a continuation of this trend. For example, based on OECD data, the number of magnetic resonance imaging (MRI) units per million inhabitants was 33.16 in Finland and 31.33 in Norway in 2022. As the utilization of MRIs continues to rise, the integration of AI into these devices is witnessing significant growth.
Based on the solution, the market can be segmented into software and services. The continuous improvement in connectivity, enhanced data transmission facilitated by cloud systems, efficient work management, and consistent performance improvements across various sectors are contributing to the continual growth of the Internet of Things (IoT). This has led to an expansion of the market.
Based on end users, the market can be segmented into hospitals, clinics, and diagnostic centres. Increased advanced technologies and developments with increased features and increased chronic disorders have exceeded the market growth with increased demands from health care for developed artificial intelligence in MRI. Hospitals with the increased market rate with an increased rate of hospitalization with serious disorders help with imaging and scanning with fast treatment and increased developments and software systems integrated into the medical devices utilized for scanning and in the computers which fuels the market to grow.
The growth of artificial intelligence in the MRI market in the United States is attributed to the expanding medical infrastructure and the adoption of advanced medical technologies. Increased healthcare spending per capita by the U.S. population is also a contributing factor. For example, the U.S. Centers for Medicare & Medicaid Services (CMS) reported a per capita healthcare spending of US$12,914 per person in 2021. Artificial intelligence is becoming more widely utilized in various aspects of Magnetic Resonance Imaging (MRI) scans, aiming to improve image quality, streamline processes, and aid in the diagnosis of medical conditions. The application of AI in MRI can enhance image quality by reducing noise and artifacts, enabling the generation of higher-resolution images from lower-resolution scans, thereby improving the accuracy of diagnoses.
Magnetic Resonance Imaging (MRI) plays a crucial role in diagnosing conditions that primarily impact soft tissues, including cancerous tumors. According to data from the National Centre for Health Statistics, the United States recorded 1,958,310 new cancer cases and an estimated 609,820 cancer-related deaths in the year 2023. The escalating incidence of cancer cases in the United States underscores the growing demand for advanced diagnostic technologies. This heightened demand is particularly fuelling the utilization of artificial intelligence (AI) in the medical field. As the prevalence of cancer continues to rise, there is an increasing need for precision and accuracy in diagnosis. Artificial intelligence emerges as a transformative solution in this context, offering capabilities to enhance the diagnostic process, improve the interpretation of MRI scans, and aid healthcare professionals in making more informed and precise decisions. The integration of AI technologies in the field of medical imaging, especially in the context of cancer diagnosis through MRI, is anticipated to play a pivotal role in the healthcare landscape. The demand for advanced technologies, driven by the imperative need for more accurate diagnostic tools, is expected to propel the growth and adoption of AI in the medical sector, contributing to better outcomes for patients and furthering the advancements in healthcare technology.
In the healthcare technology sector, prominent companies include Siemens Healthineers AG, GE HealthCare, IBM, Philips Healthcare, NVIDIA Corporation, Oxipit.ai, and Quibim. In June 2023, Sonic DL, a deep learning program developed by GE HealthCare, obtained 510(k) clearance from the Food and Drug Administration (FDA). This approval suggests the potential to impact scan time expectations and potentially expand the pool of patients eligible for cardiac magnetic resonance imaging (MRI).
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/artificial-intelligence-in-mri-market
This analytics report segments the AI in the MRI market on the following basis:
Segmentation:
5.5G: A Roadmap To 6G
Thought Articles5G’s fundamental purpose is to facilitate connectivity among individuals. Originally designed to ensure continuous communication anytime and anywhere, 5G is expected to evolve further by 2030. During this evolution, 5G will play an increasingly significant role in enabling real-time interaction with the virtual world, offering users a fully immersive experience. The integration of 5G with virtual reality (VR) and augmented reality (AR) technologies has transformed the interaction between the physical and virtual realms into a tangible reality. However, to achieve an advanced XR Pro and holographic experience, cellular communication must provide higher speeds. The average access speed, currently supporting 4K video streaming at 120 Mbit/s, needs to rise to 2 Gbit/s for seamless 16K video. Additionally, a reduction in interaction latency from the existing 20 MS to 5 MS will be essential. Meeting these demands necessitates the continuous evolution of 5G technology.
Enhancing human connectivity experiences and refining interactions among connected devices are imperative. In anticipation of the time when 5G will facilitate a staggering 100 billion connections, Huawei has outlined its vision for 5.5G. The company aims to actively influence the growth and progression of the 5G industry, infusing greater dynamism into 5G technology. The goal is to generate fresh value, contributing to societal development and advancements in various industries.
The progression of 5G, commencing with Release 18, is referred to as 5G Advanced. The standardization of 5G Advanced marks a significant milestone in the development of cellular wireless access, paving the way toward 6G. The major key advancements in 5G-Advanced or 5.5G are:
5G Advanced continues to push the boundaries of spectral efficiency, both in sub-7 GHz and mmWave spectrum. Advancements in Multiple-Input-Multiple-Output (MIMO), including increased support for DMRS2 ports and MIMO layers, will enhance both uplink and downlink transmission performance. Release 18 is set to introduce an intelligent air interface design, with an initial focus on cross-node machine learning for CSF3 to reduce communication overhead, leading to improved capacity and throughput, as demonstrated in advanced over-the-air scenarios. Efforts toward a full-duplex system aim to enhance capacity and reduce latency, particularly in the uplink. Additional improvements, such as multicast reception in inactive mode, have the potential to enhance device efficiency when delivering content simultaneously to multiple devices.
5G Advanced is focused on creating more environmentally friendly networks and devices. This involves examining the energy consumption models of core infrastructure elements such as base stations and continuing efforts to decrease device power consumption. Release 18 aims to establish an evaluation model with associated Key Performance Indicators (KPIs) to measure system energy consumption performance and explore various power-saving techniques. The goal is to enhance energy efficiency across a range of system deployment scenarios. Additionally, ongoing efforts involve introducing a new, highly efficient design for Wake-Up Signal (WUS5) to significantly reduce the power consumption of devices in inactive mode.
5G Advanced introduces architectural enhancements to facilitate intelligent network automation, encompassing RAN management, analytics, and the life-cycle management of AI/ML models. This includes measures to enhance the accuracy of models. Additionally, 5G Advanced supports intent-based management to streamline network management processes. The developments in the 5G Core (5GC) architecture regarding analytics and data collection establish a robust foundation for AI/ML-driven decisions within 5GC Network Functions (NFs). Release 18 has introduced features such as Network Data Analytics Function-assisted (NWDAF-assisted) generation of User Equipment (UE) policy for network slicing. In this context, the Policy Control Function (PCF) is supported by slice load analytics, enabling the PCF to adjust the UE Route Selection Policy (URSP) rules. Release 18 also enhances analytics capabilities, including the provision of finer-grained location information than a cell level.
5G systems are rapidly being deployed, providing high-speed, low-latency connectivity for various services. The ongoing transformation poses challenges that extend beyond the capabilities of 5G and 5G Advanced. The industry and research community are setting a clear target for 6G to contribute to an efficient, human-friendly, and sustainable society through ubiquitous intelligent communication. Some of the advanced technologies discussed in 5G can be viewed as precursors to certain 6G building blocks.
As per the National Association of Software and Service Companies (NASSCOM), India’s technology sector achieved unprecedented growth, reaching a revenue of $227 billion in 2021, compared to $200 billion in the previous year. This growth in India’s digital economy outpaced the overall Indian GDP, establishing strong connections with non-digital sectors. Contributing substantially to the development of 6G standards would not only benefit the domestic sector but also elevate India’s position in the global telecommunications industry. Prioritizing the adoption of 6G could position India as a global provider of intellectual property and offer cost-effective products and solutions.
Figure 1: Growth of India’s Technology Sector, From 2020 to 2021, in US$ Billion
Source: International Trade Administration
On October 11, 2023, during the Global Mobile Broadband Forum (MBBF 2023), Cao Ming, who serves as the President of Wireless Solutions at Huawei, introduced a groundbreaking development in the telecommunications industry – the inaugural comprehensive suite of solutions for 5.5G. This marks a significant milestone in the evolution of mobile broadband technology, showcasing Huawei’s commitment to pushing the boundaries and ushering in the era of 5.5G connectivity. The introduction of this full series of solutions demonstrates Huawei’s leadership in driving advancements in wireless communication and further solidifies its position at the forefront of the telecommunications landscape.
On October 18, 2023, Digital Nasional Berhad (DNB), TM, and ZTE Corporation (ZTE) announced a strategic collaboration to introduce the fastest 5G live trial globally, achieving impressive speeds of up to 28Gbps. The incorporation of mmWave spectrum within DNB’s 5G wholesale network enhances this initiative, providing users with a transformative 5.5G experience, setting the stage for the future transition to 6G. This pioneering technology is poised to revolutionize Malaysia’s digital landscape and set a new international benchmark for wireless communication standards.
The 5G evolution, commencing with Release 18, is denoted as 5G Advanced. This label signifies the culmination of value derived from the continuous progression of 5G since 2018, building upon the foundations established in Releases 15, 16, and 17. Release 18 brings about both architectural enhancements and additional capabilities catering to emerging market segments. The deployment of 5G systems is proceeding swiftly, delivering high-speed, low-latency connectivity for a diverse array of services. The introduction of new services, such as advanced Extended Reality (XR) services, raises expectations for network performance. Support for Reduced Capability (RedCap) will expand the scope of machine-type communication. Applications requiring real-time networking using IP will benefit from Deterministic Networking, offering bounded low latency, low delay variation, and extremely low loss. To efficiently address these demands, service providers will increasingly utilize AI/ML and network automation, simultaneously focusing on reducing energy consumption. 3GPP must concentrate on these areas within the framework of 5G Advanced, as service providers prepare to capitalize on the advantages offered by 5G Advanced systems. These technological components also serve as crucial precursors to several building blocks of 6G.
Find some of our related studies:
Enhancing Connectivity: The Interplay of Dynamic Spectrum Sharing and 5G Technology
Thought ArticlesDynamic Spectrum Sharing operates on the principle of dividing access and reallocating spectrum. Access splitting entails a Dynamic Spectrum Sharing-enabled base station supporting multiple access technologies simultaneously, such as 4G LTE and 5G New Radio. Re-farming involves the base station assigning users to a specific frequency band based on network conditions and traffic load. The sophisticated software algorithms in Dynamic Spectrum Sharing enable the base station to analyze traffic load and user characteristics, dynamically adjusting spectrum allocation. This innovative technology facilitates the coexistence of both older 4G LTE users and newer 5G NR users. Additionally, it enables the dynamic allocation of throughput and data rates to optimize overall performance, aligning with user and network requirements.
In the context of NR (New Radio), frequency bands catering to high-speed and high-capacity services are categorized into three main groups. The first category comprises a low-frequency band below 3 GHz, primarily utilized by LTE services and predominantly operating in a frequency division duplex (FDD) method. Following this, there is the mid-frequency band (mid-band) spanning from 3 GHz to 5 GHz. Lastly, the mmWave frequency band (mmWave-band) is situated between 24-40 GHz. Both the mid-band and mmWave-bands operate using time division duplex (TDD). Typically, NR is co-deployed alongside LTE sites, making use of existing LTE infrastructure. In a scenario where NR exclusively utilizes mid-band TDD carriers (with low bands reserved for LTE), it would experience greater propagation and penetration losses compared to the use of low-band FDD carriers. This inherent limitation of the mid-band frequency leads to reduced coverage, especially in the uplink (UL) transmission, resulting in coverage gaps. Figure 3 illustrates the coverage gaps that would be present in the hypothetical situation where NR operates solely on mid-band. The indoor coverage gap is a direct consequence of penetration loss in the mid-band frequency. Additionally, it’s noteworthy that the reduction in coverage is more pronounced in mmWave-band TDD carriers.
Dynamic Spectrum Sharing (DSS) facilitates adaptable resource management aligned with the penetration of NR (New Radio) User Equipment (UE) and the demand for NR traffic, ensuring optimal spectrum utilization. In the early stages of the NR market, the traffic demand for NR may not be substantial enough to necessitate the full utilization of available resources in the re-farmed band. Consequently, there is a risk of underutilization of resources in the re-farmed band that could be otherwise utilized for LTE traffic. Essentially, as long as LTE traffic predominates the market, some resources may remain unused.
However, DSS addresses this challenge by dynamically allocating resources based on traffic demands between LTE and NR throughout the entire spectrum. This feature requires coordination between LTE and NR schedulers, facilitating the exchange of traffic and resource-sharing status and the synchronized dynamic assignment of available resources. Through this sophisticated coordination, LTE resource allocation increases while NR resource allocation decreases during LTE traffic peaks, and vice versa during NR traffic peaks. This dynamic resource allocation accommodates instantaneous bursts in NR traffic, even in the early stages of the NR market, as well as the steady growth in NR demand over time as NR becomes mainstream.
Dynamic Spectrum not only expedites the expansion of 5G but also introduces new benefits for LTE users. The more efficient allocation and optimized utilization of frequencies results in an enhanced overall user experience for LTE users. The LTE band 1 at 2.1 gigahertz (GHz) plays a unique role in this context, having been previously utilized for 3G/UMTS. Through Deutsche Telekom’s 5G booster initiative, 15 megahertz from this frequency band have been utilized since June 2020 for LTE and 5G, dynamically dividing the spectrum. 5G is not a standalone network but is integrated into the 4G cell to enhance overall capacity. Aside from operating at the 2.1 GHz frequency, 5G also utilizes the 3.6 GHz frequency, which is presently allocated for use in major cities. This allocation decision is based on the characteristics of radio frequencies. The 2.1 GHz frequency facilitates long-range coverage at high speeds, making it well-suited for the expansion of 5G in broader areas. On the other hand, the 3.6 GHz frequency achieves exceptionally high data rates but over a shorter range, hence its application in metropolitan areas. The synergy between Dynamic Spectrum Sharing and the expansion of specific sites on the 3.6 GHz frequency band is a key factor contributing to the implementation of the new 5G standard.
Figure 1: Frequency of LTE Bands For 3G and 5G, in Gigahertz
Source: Deutsche Telekom
According to a research paper published by PubMed Central in June 2021, the adoption of DSS technology offers significant advantages, notably cost reduction for mobile operators and optimization of spectrum usage. This is attributed to the mobile network operator’s ability to reuse the existing 15 MHz bandwidth of LTE, eliminating the need to acquire additional dedicated 15 MHz for 5G services. In essence, deploying DSS technology proves beneficial, particularly during the initial rollout of 5G NR, as it allows operators to formulate strategies while presenting an initial 5G landscape to consumers using the already-in-use LTE spectrum.
Brazil’s National Telecommunications Agency (Agencia Nacional de Telecomunicacoes, Anatel) reported that as of December 31, 2021, the mobile operators in the country collectively reached a total of 1.210 million 5G subscriptions utilizing dynamic spectrum sharing (DSS) technology. DSS facilitates the simultaneous operation of 4G and 5G services within a single frequency band.
In the 3GPP Release 15, the introduction of a feature known as 5G DSS (Dynamic Spectrum Sharing) eliminates the necessity for refarming, significantly expediting the transition to 5G. DSS capitalizes on the commonality that both 4G LTE and 5G NR share OFDM technology and introduces techniques enabling these waveforms to coexist seamlessly within the same spectrum. Essentially, DSS enables the simultaneous presence of 4G LTE and 5G NR users in the same frequency band or channel, allowing an operator’s base stations and network to dynamically allocate channel resources between 4G and 5G users at each cell site. Consequently, 5G DSS transforms practically any band currently used for 4G LTE into a band ready for immediate 5G deployment. This feature is typically implemented in lower sub-6 GHz frequencies, offering superior 5G coverage compared to higher-frequency 5G bands. Furthermore, it provides additional capacity for 5G without the substantial delays associated with a more prolonged refarming process. While DSS introduces additional overhead to support the operation of 4G and 5G in the same band, the advantages of utilizing DSS for a gradual spectrum transition outweigh the impact on capacity.
On February 18, 2020, ZTE Corporation, a prominent global provider of telecommunications, enterprise, and consumer technology solutions for the Mobile Internet, introduced its SuperDSS solution. This solution stands out as an industry-leading approach to tri-RAT (Radio Access Technology) dynamic spectrum sharing. It represents a significant innovation within the 5G era, advancing the capabilities of the Magic Radio Pro solution to enable multi-RAT spectrum sharing when repurposing legacy FDD (Frequency Division Duplex) bands for 5G deployment. SuperDSS is designed for dynamic spectrum sharing encompassing 2G/4G/5G and 3G/4G/5G, making it an efficient means for rapid 5G deployment. Simultaneously, it facilitates the provision of legacy voice services over the 1800MHz or 2100MHz bands, ensuring optimal spectrum return on investment.
In April 2020, Nokia revealed the expansion of its AirScale portfolio through various innovative products aimed at meeting the changing requirements of 5G networks and enabling mobile operators to fully leverage the capabilities of 5G. This expansion involves the introduction of a Dynamic Spectrum Sharing (DSS) software upgrade applicable to existing Nokia AirScale base stations and the Nokia AirScale All-in-Cloud base station. This upgrade is designed to enhance network efficiency.
On April 13, 2022, Samsung Electronics Co., Ltd. and Virgin Media O2 jointly announced the successful implementation of multiple operational 4G and 5G sites in the United Kingdom, marking a significant progression in their collaborative efforts. Concurrently with this deployment, the companies achieved the inaugural 5G data call on Virgin Media O2’s commercial 5G network using these sites. Furthermore, the field tests conducted confirmed the interoperability between Virgin Media O2’s 2G/3G/4G networks and Samsung’s latest 4G and 5G solutions. The tests also validated the potential utilization of Samsung’s Dynamic Spectrum Sharing (DSS) capabilities.
In summary, Dynamic Spectrum Sharing represents an advanced communication technology that enhances spectral efficiency, minimizes interference, and creates new spectrum opportunities. While there are challenges to address, Dynamic Spectrum Sharing technologies bring innovation and increased capabilities to various applications, including 5G deployments, IoT services, broadband, and mobile network services. As 5G networks are rolled out, Dynamic Spectrum Sharing is poised to play a crucial role in spectrum reallocation processes, ensuring the optimal utilization of spectrum resources across low-band, mid-band, and mmWave frequencies.
Find some of our related studies:
Brushless DC Motor Market is estimated to grow at a CAGR of 8.47% to reach US$19.281 billion by 2028
Press ReleasesThe brushless DC motor market was valued at US$10.915 billion in 2021 and is anticipated to grow at a CAGR of 8.47% over the forecasted period to reach a market size of US$19.281 billion in 2028.
The global brushless DC motor market is anticipated to expand significantly in the coming years, due to the expanding industrial uses of brushless DC motors, increasing utilization of these energy-efficient motors in HVAC, automotive, and electronics applications around the world, and the global automotive industry’s transition to electric vehicles, which are anticipated to be the primary drivers driving the bushless DC motor market over the forecast period.
A brushless DC motor (BLDC motor or BL motor) is a type of electric motor that uses magnets to create motion. Brushless means that it does not require brushes or a commutator, which are common in typical brushed DC motors. In contrast, BLDC motors employ electronic commutation to regulate the flow of current to the motor windings, which results in rotation. The growing popularity of small electronic devices, as well as the rising trend of industrial automation, are among the primary drivers driving the worldwide BLDC motors market growth. Furthermore, the growing emphasis on reducing environmental impact is increasing the use of hybrid electric vehicles (HEVs), which is favourably affecting demand for BLDC motors.
The market is witnessing multiple collaborations and technological advancements, for instance, Toshiba Electronic Devices & Storage Corporation has introduced two 600V compact intelligent power device (IPD) solutions for brushless DC motor driving applications such as air conditioners, air cleaners, and pumps. Both new devices are contained in a through-hole HDIP30 packaging, which decreases mounting space by about 21% when compared to Toshiba’s prior offerings. This aids in the reduction of the size of motor driving circuit boards.
Based on type the global brushless DC motor market is divided into inner-rotor, outer-rotor and disk-rotor. Among these, the inner rotor category is anticipated to expand at a healthy CAGR over the forecast period. Rotors of inner rotor-type motors are located in the core of the motor and are encircled by stator winding. Because rotors are positioned in the centre, rotor magnets prevent heat insulation from seeping inside, allowing heat to escape quickly. This results in a high torque output from inner rotor brushless DC motors. These motors are utilized in robotics, CNC machines, automated door openers, and metal cutting and forming machine applications in the industrial, automotive, and consumer electronics sectors. These applications necessitate motors that can perform rapid acceleration and deceleration, have a high starting torque, are reversible, and are small hence these types of motors are widely used.
Based on phases the global brushless DC motor market is divided into single-phase and three-phase. Among these, the three-phase brushless DC motor is predicted to grow significantly over the forecast period. The better performance characteristics of three-phase motors make them excellent for a wide range of industrial applications where more power, efficiency, and precision are required. Three-phase brushless DC motors are extensively used in industries such as manufacturing, automotive, and robotics due to their ability to give smoother operation, better torque, and enhanced power output.
Based on end-user the global brushless DC motor market is divided into electrical & electronics, aerospace, marine, automotive, manufacturing and others. The automotive segment is anticipated to have a major market share over the forecast period. Motors of various sorts and specifications are used in the vehicle industry for a variety of purposes. Brushless DC motors are chosen over traditional powertrains due to the lack of brushes, which results in reduced friction. Friction reduction assures reduced wear and tear on the brushless DC motor, resulting in less maintenance required. Therefore, these types of motors are widely used eventually driving the market expansion.
Based on Geography the North American region, especially the USA is likely to grow significantly over the forecast period. An important factor driving market growth in the region is the growing use of automation and robots in manufacturing, logistics, and other industries. Brushless DC motors are used in these applications because of their accuracy, high efficiency, and dependability, making them indispensable components of automation systems. Brushless direct current motors are employed in a wide range of robotic applications, including actuators, manipulators, and end effectors. Furthermore, the US is dedicated to decreasing its dependency on fossil fuels and boosting its usage of renewable energy sources. Brushless direct current motors are employed in a wide range of renewable energy applications, including solar and wind turbines which is eventually boosting market dynamics in the region.
As a part of the report, the major players operating in the global brushless DC motor market, that have been covered are Allied Motion Inc., Ametek Inc., ARC System Inc., Changzhou Fulling Motor Co., Ltd, Mabuchi Motor Co. Ltd, Maxon Group, Nanotec Electronic GmbH & Co Kg., Nidec Corporation, Oriental Motor USA (Oriental Motor Co. Ltd), Sinotec Inc.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/global-brushless-dc-motor-market
This analytics report segments the global brushless DC motor market on the following basis:
AI Chipsets Market is projected to grow at a CAGR of 25.61% to reach US$132.584 billion by 2028
Press ReleasesThe AI chipsets market is expected to grow at a CAGR of 25.61% during the forecasted period, with a market valuation of US$26.872 billion in 2021 and is expected to reach US$132.584 billion by 2028.
The AI chipsets market is influenced by factors such as the growing emphasis on developing artificial intelligence (AI) systems, increasing consumer electronics demand and the expansion of data volumes are key factors contributing to this trend.
As per the report, the AI chipsets market is expected to grow at a steady pace.
Artificial intelligence (AI) has undergone significant advancements, becoming a transformative force across various industries. AI chipsets are specifically crafted to provide high-speed manufacturing, low latency, and enhanced computing capabilities, facilitating faster and more efficient AI applications. Businesses are leveraging AI to automate operations, gain valuable data insights, enhance decision-making processes, elevate customer experiences, and foster innovation. The growing use of AI is driving demand for specialized hardware capable of effectively handling AI workloads, leading to the expansion of the AI chipsets industry.
The AI chipsets market is witnessing growth due to increased efforts in developing AI systems with human awareness. However, the lack of established norms and regulations, along with a shortage of skilled labour, poses challenges to the market’s expansion. As AI continues to progress in technology, there is a rising demand for a substantial number of application-specific integrated circuits (ASICs). Companies are innovating by developing new AI chips that incorporate advanced technologies such as artificial intelligence. For example, In May 2023, Google enabled generative AI, unveiling a next-generation language model featuring enhanced multilingual, reasoning, and coding capabilities. This model was developed using new foundations, embeddings, and tuning tools in conjunction with Vertex AI.
Categorized based on components, the largest share in the artificial intelligence chipsets market is anticipated to be held by the graphics processing unit (GPU) segment. The growth is expected to be driven by the increasing adoption of GPUs in edge devices, as well as advancements in gaming, augmented reality/virtual reality (AR/VR), virtual assistance, and other applications.
Based on end-users, the market can be segmented into automotive, consumer electronics, automation, healthcare, and others. The period from 2019 to 2021 witnessed a significant adoption of industrial robots across various sectors in the USA, indicating a notable shift toward automation and advanced manufacturing technologies. In the automotive industry, the installed robot count rose from 9.8 thousand in 2019 to 13 thousand in 2021, marking an impressive 32% growth. Similarly, the electrical/electronics sector experienced a consistent increase, with a 20% uptick in robot installations during the same timeframe. This trend towards automation is in line with the expanding AI chipsets market in the USA, as these robots often leverage AI-driven technologies to enhance efficiency and precision. This collaboration underscores the crucial role of AI chipsets in propelling industrial automation and fostering innovation.
The deployment of industrial robots across various sectors in the USA between 2019 and 2021 indicates a significant shift towards the adoption of automation and advanced manufacturing technologies. Specifically, in the automotive industry, the number of installed robots surged from 9.8 thousand in 2019 to 13 thousand in 2021, reflecting an impressive 32% growth. Similarly, the electrical/electronics sector experienced a consistent increase, with a 20% rise in robot installations during the same period. This trend towards increased automation is by the expanding AI chipsets market in the USA, as these robots frequently utilize AI-driven technologies to enhance their efficiency and precision. This collaboration underscores the crucial role played by AI chipsets in propelling advancements in industrial automation and innovation.
While both small and large global companies have made an impact on the market, the AI chipsets market is anticipated to be moderately consolidated. The market is still in its early developmental stages. Key participants in the current industry landscape include NVIDIA Corp., Xilinx Inc., Samsung Electronics, Intel Corporation, and Micron Technology. These entities are actively involved in competitive strategic initiatives, such as collaborations, the introduction of new products, and expanding into new markets, to secure leading positions in the AI chipsets market. In August 2021, IBM introduced a new chip called Telum, designed to enable its clients to effectively utilize deep learning inference on a large scale. The chip’s centralized design allows clients to harness the full power of the AI processor for specific AI workloads, making it particularly suitable for financial services tasks like loan processing, trade clearing and settlement, fraud detection, anti-money laundering, and risk analysis.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/ai-chipsets-market
These analytics report segments the AI chipsets market on the following basis:
Segmentation:
Head-Mounted Display Market size worth US$9,766.994 million by 2028
Press ReleasesThe head-mounted display market is expected to grow at a CAGR of 16.31% during the forecasted period, with a market valuation of US$ 3,392.256 million in 2021 and is expected to reach US$9,766.994 million by 2028.
The head-mounted display market is significantly impacted by the increasing adoption of head mounted displays (HMDs) in gaming applications.
As per the report, the head-mounted display market is expected to significantly increase during the forecast period.
Head-mounted displays (HMDs) have been increasing in popularity due to the application of virtual reality and artificial intelligence. HMDs are devices also known as Virtual Reality headsets or Virtual Reality glasses, where the visuals are presented directly to the eyes and the peripheral vision through an attachment. These devices have been increasing in popularity due to video game technology advancements and smart glasses. The main applications of HMDs have been in video games, military, medical and engineering. Movies like The Terminator provide an accurate representation of what HMDs are, where the devices are used to create augmented reality which provides digital information through an HMD filter into the real world. Several technologies are implemented into the HMDs, which include display technologies like OLED display, pixels and displays, retinal projection, refresh rate, latency, optics, head tracking, and eye tracking,
Based on technology type, the market is categorized into two types- Virtual Reality (VR), and Augmented Reality (AR). VR and AR are one of the main components that run the HMDs, which provide information and visuals into the virtual space created using augmented reality.
Based on connectivity type, the market is categorized into two types- head-mounted, and eyewear. Head-mounted types are the most common types of HMD, an example being Oculus Rift. Oculus Rift is a VR headset device that can be worn on the head and used for many purposes like media, creative work, gaming and many others,
Based on display type, the market is categorized into three types- slide-on HMDs, discrete HMDs, and integrated HMDs. Slide-on HMDs are extension devices that can be added to devices like smartphones, lenses and many other forms. The device can be inserted into the slide-on device and will provide the same experience as an integrated HMD.
Based on industry vertical, the market is categorized into six types- aviation and defence, media and entertainment, manufacturing, healthcare, education, and others. Aviation and defence use HMDs to provide output and information on the surroundings of the military personnel or the military vehicle. This provides more enhanced situational awareness for operations that are considered high-risk.
Based on region, North America is expected to witness significant growth in the head-mounted display market during the forecasted period. The increase in adoption of augmented reality and virtual reality (AR/VR) have been propelling growth in the North American Region. HMDs have been proven to be useful for defence and military applications as well. For example, in October 2022, Honeywell launched a head-mounted display, dubbed Honeywell 360 Display, that offers enhanced situational awareness for operators of military vehicles that are used in hazardous situations with little to no visibility. It has been claimed to simulate natural vision with a high-resolution, ultra-low-latency view of the environment surrounding the vehicle, allowing it to assess risk and deploy safety measures. This will propel the HMD market in the military sector significantly.
As a part of the report, Kopin Corporation, Google Inc., Vuzix, Oculus VR (Facebook Technologies, Inc.), Sony Electronics Inc., HTC Corporation, Seiko Epson Corporation, Recon Instruments, Samsung, Microsoft, Fujitsu, and LG Electronics.
View a sample of the report or purchase the complete study at https://www.knowledge-sourcing.com/report/head-mounted-display-market
The analytics report categorizes the head-mounted display market using the following criteria: