Mobile Artificial Intelligence Market Size, Share, Opportunities, And Trends By Component (Hardware (Processor, Memory, Sensor, Others), Software, Services), By Technology Node (20–28nm, 10nm, 7nm, Others), By End User (Smartphones Cameras, Drones, Automotive, Robotics, AR/ VR, Others), And By Geography - Forecasts From 2023 To 2028

  • Published : Oct 2023
  • Report Code : KSI061616153
  • Pages : 140

The mobile artificial intelligence (AI) market is projected to show steady growth during the forecast period.

Mobile artificial intelligence (AI) encompasses the integration of AI technology into portable devices, primarily smartphones and tablets. These devices serve as platforms for a multitude of AI applications, extending beyond conventional utility. Language translation, image recognition, and voice identification are just a few examples of AI's versatility when harnessed on mobile devices. However, this technological advancement has introduced new concerns, particularly regarding plagiarism. The use of AI to generate content has introduced a level of sophistication that makes it challenging to distinguish human-written material from AI-generated text. There have been disturbing instances of students leveraging AI language models to submit assignments as their original work, thereby undermining the principles of academic integrity. To counter this issue, some enterprising developers have devised applications capable of discerning whether an essay was authored by a human or an AI language model, offering a safeguard against academic dishonesty. While the integration of AI into mobile devices holds great promise for enhancing productivity and efficiency, it is imperative to uphold ethical and responsible usage to avert problems like plagiarism and ensure that the technology serves as a force for good.


The mobile artificial intelligence (AI) market is experiencing remarkable growth, emerging as a vibrant industry that harnesses AI technology across a wide spectrum of mobile devices, including but not limited to smartphones, cameras, drones, automotive systems, AR/VR platforms, robotics, smart boards, and personal computers. This expansion is primarily propelled by the surging demand for AI-powered processors within mobile devices, the ascent of cognitive computing, and the escalating array of AI applications that continue to redefine the mobile landscape. One notable development in this landscape is the surging popularity of AI-generated content. This shift in content creation methods has drawn the attention of businesses looking to streamline their content marketing processes, which have often been labor-intensive and costly. AI-generated content offers a promising solution to alleviate these challenges, ushering in a more efficient and cost-effective approach to content creation and distribution. Nonetheless, the proliferation of AI technology on mobile devices has sparked concerns, particularly regarding the issue of plagiarism. AI-generated content possesses an inherent capacity to mimic human-generated text, making it challenging to discern its origins. Consequently, there have been instances of students utilizing AI language models to present AI-authored assignments as their work, raising ethical and academic integrity concerns within educational institutions. To counter this burgeoning problem, some innovative developers have engineered applications designed to detect the provenance of written works, distinguishing between human and AI-generated content. These applications serve as a safeguard, ensuring academic and professional honesty in an era marked by the growing prominence of AI-generated text. Furthermore, the ascent of generative AI has brought to the fore various apprehensions. These concerns encompass the quality of AI-generated outputs, the potential for misuse and abuse of AI technologies, and the disruptive impact on established business models. As generative AI continues to evolve, stakeholders across various industries must grapple with the challenges and opportunities that this transformative technology presents, all while striving to navigate its complex ethical, regulatory, and operational implications.


  • Demand for AI-enabled processors: The growing demand for AI-enabled processors is notably pronounced in the realm of mobile devices, specifically smartphones and tablets. This surge in demand can be attributed to the versatile applications of AI technology in these portable gadgets. AI has found its place in the mobile world by enabling functionalities like language translation, image recognition, and voice recognition. As consumers seek enhanced user experiences, manufacturers are actively integrating AI capabilities into their devices to cater to the evolving expectations of the tech-savvy populace. This trend is not limited to personal convenience; it also extends to sectors such as healthcare, gaming, and photography, where AI processors are instrumental in optimizing performance, improving efficiency, and enhancing the overall quality of mobile computing. As the AI ecosystem continues to advance, the demand for AI-enabled processors in mobile devices is poised for sustained growth, revolutionizing the way to interact with and utilize portable companions.
  • Rise in cognitive computing: The ascent of cognitive computing represents a pivotal development in the realm of artificial intelligence, leveraging the capabilities of natural language processing to emulate intricate human cognitive processes. This transformational technological evolution is wielding a profound impact on the mobile AI market, propelling it into a phase of rapid expansion and innovation. As cognitive computing systems become increasingly adept at understanding and responding to human language and context, they are facilitating the development of cutting-edge mobile AI applications and services. This burgeoning integration of cognitive computing in the mobile AI sector is reshaping the way individuals interact with their devices, paving the way for enhanced user experiences, personalized solutions, and unprecedented levels of convenience and efficiency. The growth of cognitive computing, in turn, signifies a dynamic shift in the landscape of mobile AI, redefining the boundaries of what is achievable in the domain of intelligent mobile technology.
  • Growing number of AI applications: The mobile AI market is experiencing significant expansion due to the proliferation of AI applications across diverse domains. With each passing day, the range and sophistication of AI-powered solutions continue to grow, creating a dynamic landscape for innovation and consumer engagement. These AI applications are not limited to a single category; rather, they span a wide spectrum of functionalities. For instance, AI is revolutionizing the way communicate by enabling real-time language translation, making it easier for people to connect across linguistic barriers. Moreover, AI's capabilities in image recognition are enhancing the efficiency of tasks such as facial recognition, object detection, and augmented reality experiences. Additionally, the incorporation of voice recognition technology into mobile devices is changing the way interact with smartphones, allowing for more natural and intuitive communication. The rapid proliferation of AI applications, driven by their potential to enhance user experiences and streamline tasks, is reshaping the mobile AI market, and the possibilities for further growth and innovation appear boundless.
  • Use of AI-generated content: The utilization of AI-generated content has witnessed a significant surge in popularity, capturing the attention of businesses across various industries. This burgeoning trend has piqued the interest of forward-thinking marketers who are increasingly exploring the potential of AI-generated content to revolutionize their content marketing strategies. In today's fast-paced digital landscape, the creation and management of high-quality content can often prove to be a daunting and resource-intensive task. Thus, AI-generated content offers a solution to automate and streamline the content marketing process, mitigating the challenges of time consumption and cost overheads. By harnessing the capabilities of artificial intelligence, businesses can not only enhance their content production efficiency but also deliver personalized and engaging content to their target audience, ultimately redefining the way they connect with and influence their customer base.


  • Concerns about plagiarism: Plagiarism concerns have escalated with the widespread adoption of AI technology on mobile devices. This proliferation of AI-generated content has given rise to a challenging problem: the surreptitious use of machine-generated text to deceive educational institutions and peers alike. Instances have come to light where students have employed AI language models to complete assignments, presenting them as their original work. In response to this growing concern, innovative developers have taken proactive steps to develop applications specifically designed to tackle this predicament. These applications utilize sophisticated algorithms and machine learning to distinguish between human-crafted content and text produced by AI language models. In essence, these tools serve as a safeguard against academic dishonesty, ensuring the integrity of educational assessment and content creation. This ongoing dialogue underscores the dynamic intersection of AI technology and academic ethics, prompting institutions and individuals to adapt and address the emerging challenges of plagiarism in the digital age.

 Products offered by key companies:

  • The Qualcomm Snapdragon Mobile AI platform is a comprehensive suite of technologies that enables mobile devices to deliver powerful and efficient AI experiences. The Hexagon Processor is a dedicated AI accelerator that is designed to deliver high performance and low power consumption.
  • Condor Galaxy AI Platform is a cloud-based platform that collects data from a variety of sensors on critical infrastructure assets, such as power grids, transportation systems, and water and wastewater systems. The platform then uses AI to analyze this data to identify potential problems and optimize the performance of these assets.

Prominent growth in the 7nm segment within the mobile artificial intelligence market:

The mobile artificial intelligence (AI) market exhibits a dynamic segmentation, and notably, the 7 nm technology node has emerged as a prominent player, experiencing substantial growth and gaining recognition as the fastest-growing segment in the mobile AI market over the forecast period. This remarkable growth can be attributed to its superior capacity to deliver enhanced transistor density and performance compared to its predecessors. Concurrently, the pivotal metric of Power, Performance, and Area (PPA), which holds a paramount position in the mobile, handheld device, and processor industry, continues to bolster the mobile AI market's trajectory. Furthermore, the global surge in demand for processors integrated with AI capabilities is an additional compelling factor propelling market expansion. The surge in the mobile AI market has been pronounced in recent years, attributable to several key drivers. Foremost among these drivers is the escalating processing power exhibited by modern mobile devices. Contemporary smartphones and tablets are equipped with robust processors and graphics processing units (GPUs) that adeptly execute AI algorithms and models. This proliferation of processing capabilities has transformed these mobile devices into powerful tools for AI-related tasks and applications, further enhancing the overall growth and potential of the mobile AI market.

The Asia Pacific region is expected to hold a significant share of the mobile artificial intelligence market:

The Asia Pacific region is poised to dominate a substantial portion of the mobile artificial intelligence (AI) market for several compelling reasons. Firstly, the widespread proliferation of mobile applications throughout the region is a direct consequence of the continually expanding adoption of smartphones and increased internet accessibility. These trends are complemented by the burgeoning middle-class population, which further fuels the demand for mobile AI technologies. Secondly, China and Japan play a pivotal role in this market's expansion due to their significant presence in the automotive, electronics, and semiconductor industries. These economic powerhouses, along with a plethora of manufacturing firms, contribute significantly to the flourishing mobile AI sector in the Asia Pacific region. Thirdly, the advent of 5G technology in the Asia-Pacific region has ushered in an era of rapid small-cell deployment. This development is poised to be a catalyst for the exponential growth of the mobile AI market, as it enables faster and more efficient data transmission, thereby facilitating enhanced AI capabilities. In summation, the Asia Pacific region is expected to maintain a substantial share of the mobile AI market, primarily driven by the increasing adoption of mobile applications, the robust presence of automotive, electronics, and semiconductor industries, and the transformative influence of 5G technology.

Key developments:

  • In May 2023, SAP embedded IBM Watson technology to deliver new AI-powered insights, accelerate innovation, and create more effective user experiences across its solution portfolio.
  • In February 2023, Telefónica, Ericsson, and Qualcomm launched the first commercial mobile 5G mmWave network in Spain. This network uses the 5G mmWave spectrum to achieve fast speeds and large capacity, providing the best possible 5G experience in busy areas. This opens up new growth opportunities for the mobile AI market.


  • By Component
    • Hardware
      • Processor
      • Memory
      • Sensor
      • Others
    • Software
    • Services
  • By Technology Node
    • 20–28nm
    • 10nm
    • 7nm
    • Others
  • By End User
    • Smartphones
    • Cameras
    • Drones
    • Automotive
    • Robotics
    • AR/ VR
    • Others
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Others
    • Europe
      • United Kingdom
      • Germany
      • France
      • Spain
      • Others
    • Middle East and Africa
      • Saudi Arabia
      • UAE
      • Israel
      • Others
    • Asia Pacific
      • Japan
      • China
      • India
      • South Korea
      • Indonesia
      • Thailand
      • Others


1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline


2.1. Research Data

2.2. Research Process


3.1. Research Highlights


4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Force Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis


5.1. Introduction

5.2. Hardware

5.2.1. Processor

5.2.2. Memory

5.2.3. Sensor

5.2.4. Others

5.3. Software

5.4. Services


6.1. Introduction

6.2. 20–28nm

6.3. 10nm

6.4. 7nm

6.5. Others


7.1. Introduction

7.2. Smartphones

7.3. Cameras

7.4. Drones

7.5. Automotive

7.6. Robotics

7.7. AR/ VR

7.8. Others


8.1. Introduction

8.2. North America

8.2.1. United States

8.2.2. Canada

8.2.3. Mexico

8.3. South America

8.3.1. Brazil

8.3.2. Argentina

8.3.3. Others

8.4. Europe

8.4.1. United Kingdom

8.4.2. Germany

8.4.3. France

8.4.4. Spain

8.4.5. Others

8.5. The Middle East and Africa

8.5.1. Saudi Arabia

8.5.2. UAE

8.5.3. Israel

8.5.4. Others

8.6. Asia Pacific

8.6.1. Japan

8.6.2. China

8.6.3. India

8.6.4. South Korea

8.6.5. Indonesia

8.6.6. Thailand

8.6.7. Others


9.1. Major Players and Strategy Analysis

9.2. Market Share Analysis

9.3. Mergers, Acquisitions, Agreements, and Collaborations


10.1. Qualcomm Inc

10.2. Nvidia

10.3. Intel Corporation

10.4. IBM Corporation

10.5. Microsoft Corporation

10.6. Apple Inc

10.7. Huawei (Hisilicon)

10.8. GoogleLLC

10.9. Mediatek

10.10. Samsung

10.11. Cerebras Systems

Qualcomm Inc


Intel Corporation

IBM Corporation

Microsoft Corporation

Apple Inc

Huawei (Hisilicon)




Cerebras Systems