At a CAGR of 26.44% Mobile Artificial Intelligence (AI) Market Size Expected to Reach $84.80 Billion by 2030

The emergence of edge-AI technology allows moving many of the backend profiling AI capabilities to the phone itself. Smartphones with an AI combo, are one of the biggest trends in the market today. AI has several uses on a handheld device, though the benefits are limited initially. Several mobile manufacturing companies are competing to develop AI features for smartphones according to the needs of the users. For instance, Apple, Samsung, and Huawei have introduced smartphones with powerful AI chips that can perform up to 5 trillion operations per second and use significantly less power to accomplish tasks. With AI, these phones provide features from Face ID to augmented reality. 

According to a new report published by Allied Market Research, titled, Mobile Artificial Intelligence (AI) Market by Technology Node, Component, and Application: Global Opportunity Analysis and Industry Forecast, 2021–2030”, the global mobile artificial intelligence (AI) industry size was valued at $8.56 billion in 2020, and is projected to reach $84.80 billion by 2030, registering a CAGR of 26.44%. The North America region is expected to be the leading contributor to the global market, followed by Asia-Pacific and Europe.            

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Artificial Intelligence (AI) forms a key part of the engine behind the continued advancement of extended reality (XR). The AI technology gives mobile devices the ability to process and understand the 3D world, providing the platform for more engaging XR services. Also, with enhanced visual detection capability, AI-powered camera enables smartphones to offer more enriching photography experiences, empowering users to capture their vision. In addition, AI technology is even used to improve photo quality, with an AI-recognition of depth that enables digital image postproduction editing of blur and sharpness. As the smartphone market shifts from selling technology products to delivering compelling and personalized experiences, AI solutions running on the smartphone will become an essential part of vendor roadmaps over the next two years.    

The prominent factors that impact the mobile artificial intelligence (AI) market growth are High demand for Artificial Intelligence in smartphones, growing demand for AI-capable processors, and rising investment in Artificial Intelligence (AI) technologies. However, High pricing of artificial processors restricts the market growth. On the contrary, the emergence of edge computing is expected to create lucrative opportunities for the market. Therefore, these factors are expected to definitely affect mobile artificial intelligence (AI) market growth during the forecast period.  

The global mobile artificial intelligence (AI) market share is segmented on the basis of technology node, component, application, and region. By technology node, the market is classified into 20–28nm, 10nm, 7nm, and others. By component, it is divided into hardware, software, and services. On the basis of hardware, the market is sub-segmented into processor, memory, sensor, others. Depending on application, it is separated into smartphones, cameras, drones, automotive, robotics, AR/VR, and others.    

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Region-wise, the mobile artificial intelligence (AI) market trends are analyzed across North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, and Rest of Europe), Asia-Pacific (China, Japan, India, South Korea, Taiwan, and Rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). North America region is projected to have the most significant increase in demand, as it provides a suitable environment for startups and SMEs, in terms of government regulations and compliance. The overall mobile artificial intelligence (AI) market analysis is determined to understand the profitable trends to gain a stronger foothold 

Covid-19 Impact Analysis

The COVID-19 outbreak has positively as well as negatively affected major businesses worldwide by disrupting production cycles and supply chains across industries. The smartphone industry has faced some challenges in eradicating the pandemic, as the number of infections shows no signs of subsiding. Half of the world is currently facing a second wave of the pandemic. 

The slowdown in productions by OEMs and reduction in demand for mobile device and other electronics devices has slightly pulled down the market for mobile artificial intelligence (AI). However, as vaccines roll out across the globe and the pandemic situation is better controlled, especially in North America and Europe. This would boost the recovery of growth for the mobile artificial intelligence (AI) market revenue.  

Key Findings Of The Study

  • In 2020, the 20–28nm segment accounted for the maximum revenue and is projected to grow at a notable CAGR of 30.81% during the forecast period. 
  • The smartphones segment accounted for more than 35% of the global market share in 2020.  
  • The robotics segment witness highest growth rate during the forecast period.
  • UK was the major shareholder in the Europe mobile artificial intelligence (AI) market revenue, accounting for approximately 26% share in 2020.   

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The key players profiled in the report include NVIDIA Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), IBM Corporation (U.S.), Qualcomm Inc. (U.S.), Apple Inc. (U.S.), Google (U.S.), Samsung Electronics (South Korea), MediaTek Inc. (Taiwan), and Huawei Technologies (China). These players have adopted various strategies, such as partnership, agreement, collaboration, and product launch, to expand their foothold in mobile artificial intelligence (AI) industry.

About Us

Allied Market Research (AMR) is a full-service market research and business-consulting wing of Allied Analytics LLP based in Portland, Oregon. Allied Market Research provides global enterprises as well as medium and small businesses with unmatched quality of “Market Research Reports” and “Business Intelligence Solutions.” AMR has a targeted view to provide business insights and consulting to assist its clients to make strategic business decisions and achieve sustainable growth in their respective market domain.

We are in professional corporate relations with various companies and this helps us in digging out market data that helps us generate accurate research data tables and confirms utmost accuracy in our market forecasting. Every data presented in the reports published by us is extracted through primary interviews with top officials from leading companies of domain concerned. Our secondary data procurement methodology includes deep online and offline research and discussion with knowledgeable professionals and analysts in the industry.

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