Global Mobile Artificial Intelligence Market Insights Forecasts to 2032

• The Mobile artificial intelligence Market Size was valued at USD 13.75 Billion in 2022.
• The Market Size is Growing at a CAGR of 25.8% from 2022 to 2032
• The Worldwide mobile artificial intelligence Market Size is expected to reach USD 136.49 Billion by 2032
• Asia-Pacific is expected To Grow higher during the forecast period

The Global mobile artificial intelligence Market Size is expected to reach USD 136.49 Billion by 2032, at a CAGR of 25.8% during the forecast period 2022 to 2032.

Market Overview

Mobile artificial intelligence (AI) refers to the integration of AI technologies and capabilities into mobile devices such as smartphones and tablets. With the rapid advancement of hardware and software, mobile AI has gained prominence as a transformative technology. It empowers mobile devices to understand, interpret, and respond to user interactions and data with enhanced intelligence. Mobile AI encompasses various applications, including voice recognition, natural language processing, computer vision, and machine learning algorithms, all optimized for mobile platforms. These AI-powered features enable mobile devices to provide personalized user experiences, smart recommendations, efficient virtual assistants, and advanced image recognition capabilities. Mobile AI also plays a crucial role in enabling emerging technologies like augmented reality (AR) and virtual reality (VR) on portable devices. As mobile AI continues to evolve, it promises to revolutionize industries, improve productivity, and redefine the way we interact with our mobile devices and the world around us.

Report Coverage

This research report categorizes the market for mobile artificial intelligence market based on various segments and regions and forecasts revenue growth and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the mobile artificial intelligence market. Recent market developments and competitive strategies such as expansion, product launch, and development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segments of the mobile artificial intelligence market.

Driving Factors

The mobile artificial intelligence (AI) market is driven by several factors that contribute to its growth and adoption, such as the increasing computational power and advancements in mobile hardware enable mobile devices to support AI algorithms and applications effectively. Additionally, the exponential growth of data generated by mobile devices provides a vast pool of information for AI systems to learn from and make accurate predictions. The rising demand for personalized and intelligent user experiences drives the development of mobile AI technologies, such as voice assistants, recommendation systems, and smart virtual agents. Moreover, the integration of AI into mobile devices enhances security measures, including biometric authentication and fraud detection. The proliferation of emerging technologies like augmented reality (AR) and virtual reality (VR) also fuels the demand for mobile AI. Lastly, the growing adoption of AI-powered mobile applications in sectors such as healthcare, finance, and e-commerce further accelerates the mobile AI market.

Restraining Factors

While the mobile artificial intelligence (AI) market is poised for significant growth, it also faces certain restraints. One major restraint is the limited processing power and memory capacity of mobile devices, which can hinder the performance and scalability of complex AI algorithms. Additionally, the privacy and security concerns associated with AI-powered mobile applications raise apprehensions among users. The integration of AI may also lead to increased power consumption, impacting the battery life of mobile devices. Furthermore, regulatory challenges and compliance requirements related to data privacy and AI algorithms pose obstacles for market expansion. Lastly, the high cost of developing and implementing AI technologies in mobile devices may deter smaller players from entering the market, limiting its overall growth potential.

Market Segmentation

• In 2022, the 10 nm segment accounted for around 43.5% market share

On the basis of the technology node, the global mobile artificial intelligence market is segmented into 7 nm, 10 nm, 20-28 nm, and others. The 10 nm segment has emerged as a leading force in the mobile artificial intelligence (AI) market, primarily due to its significant technological advancements and benefits. The term "10 nm" refers to the manufacturing process node, which represents the size of transistors on a chip. The smaller the node, the more transistors can be packed onto a chip, leading to increased performance and efficiency. In the context of mobile AI, the adoption of 10 nm technology has been instrumental in enabling AI capabilities on mobile devices. The 10 nm segment has gained prominence due to its ability to offer enhanced processing power while consuming less power, resulting in improved battery life on mobile devices. This is crucial for AI applications that require intensive computing power while maintaining optimal energy efficiency. The smaller size of transistors also allows for more compact and lightweight devices, further enhancing the portability and user experience of mobile AI. Moreover, the 10 nm segment enables mobile devices to handle complex AI algorithms and computations more efficiently, leading to faster and more accurate AI processing. This translates into smoother user experiences, better natural language processing, advanced image recognition, and real-time decision-making capabilities. Furthermore, the adoption of 10 nm technology in the manufacturing of mobile AI chips has facilitated the integration of AI functionalities directly on the device, enabling offline AI processing and reducing reliance on cloud-based AI services. This enhances user privacy and data security while improving the responsiveness and reliability of mobile AI applications. Overall, the 10 nm segment's leadership in the mobile AI market can be attributed to its ability to deliver superior performance, energy efficiency, and compactness, making it a preferred choice for mobile device manufacturers seeking to offer cutting-edge AI capabilities on their devices.

• In 2022, the smartphones segment dominated with more than 35.3% market share

Based on the application, the global mobile artificial intelligence market is segmented into smartphones, cameras, drones, automobile, robotics, AR/VR, and others. The smartphone segment has emerged as the dominant force in the mobile artificial intelligence (AI) market for several reasons, the smartphones have become ubiquitous devices, with a high penetration rate across various regions and demographic segments. This widespread adoption provides a massive user base and a large addressable market for mobile AI applications. The smartphones offer the necessary hardware capabilities, including powerful processors, ample memory, and high-resolution displays, to support AI algorithms and processes. This enables smartphones to deliver seamless and efficient AI-powered experiences to users. Additionally, smartphone manufacturers have been actively integrating AI functionalities into their devices, such as voice assistants, image recognition, and predictive analytics, to enhance user experience and differentiate their products. Moreover, the smartphone's portability and convenience make it the primary device for various applications, including communication, entertainment, and productivity, where AI integration adds substantial value. Furthermore, the continuous advancements in smartphone technologies, such as 5G connectivity and edge computing, further amplify the capabilities and potential of mobile AI on smartphones. Overall, the smartphone segment's dominance in the Mobile AI market can be attributed to its widespread adoption, technological capabilities, and versatility as a personal computing device.

Regional Segment Analysis of the Mobile Artificial Intelligence Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America dominated the market with more than 30.6% revenue share in 2022.

Based on region, North America is estimated to hold the leading share in the mobile artificial intelligence (AI) market for several reasons, such as a robust infrastructure for technology adoption, including advanced mobile networks and widespread smartphone penetration. North America boasts a thriving ecosystem of AI technology providers, research institutions, and leading mobile device manufacturers, fostering innovation and collaboration in the field. Additionally, the region has a high concentration of tech-savvy consumers who are early adopters of new technologies, driving the demand for AI-powered mobile applications. Moreover, North America is home to several major players in the AI industry, including tech giants and startups, attracting investments and fueling market growth. Overall, favorable government initiatives and policies supporting AI research and development contribute to the region's leadership position in the mobile AI market.

Recent Developments

• In March 2023, Qualcomm Technologies, Inc. announced the Snapdragon 7+ Gen 2 Mobile Platform, which provides premium experiences exclusive to the Snapdragon 7-series. The Snapdragon 7+ Gen 2's excellent CPU and GPU capabilities enable 4K HDR videography, low-light photography, rapid, uninterrupted gaming, AI-enhanced experiences, and speedy 5G and Wi-Fi networking, all of which are enhancing sector development.

• In May 2022, Avaya and Microsoft Corp. strengthened their worldwide cooperation by combining the industry-leading Avaya OneCloud portfolio with Microsoft Azure, giving organisations new options for increasing productivity and customer engagement while maintaining unrivalled dependability, agility, and scale.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the global mobile artificial intelligence market along with a comparative evaluation primarily based on their product offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes product development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Companies:

• Qualcomm Inc.
• Nvidia
• Intel Corporation
• IBM Corporation
• Microsoft Corporation
• Apple Inc.
• Huawei
• Google LLC
• Mediatek
• Samsung
• Cerebras Systems
• Graphcore
• Cambricon Technology
• Shanghai Thinkforce Electronic Technology Co., Ltd.
• Deephi Tech
• Sambanova Systems
• Thinci
• Kneron

Key Target Audience

• Market Players
• Investors
• End-Users
• Government Authorities 
• Consulting and Research Firm
• Venture Capitalists
• Value-Added Resellers (VARs)

Market Segment

This study forecasts revenue at global, regional, and country levels from 2019 to 2032. Spherical Insights has segmented the global mobile artificial intelligence market based on the below-mentioned segments:

Mobile Artificial Intelligence Market, By Technology Node

• 7 nm
• 10 nm
• 20-28 nm
• Others

Mobile Artificial Intelligence Market, By Application

• Smartphones
• Cameras
• Drones
• Automobile
• Robotics
• AR/VR
• Others

Mobile Artificial Intelligence Market, Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of Middle East & Africa