According to a new market report published by Lucintel, the future of the mobile artificial intelligence market looks promising with opportunities in the automotive, smartphone, camera, drone, robotics, AR/VR, and smart board and PC application. The global mobile artificial intelligence market is expected to grow with a CAGR of 28% to 30% from 2021 to 2026. The major drivers for this market are raising adoption of artificial intelligence from application developers and device manufacturers, increasing adoption of cloud based applications, and increasing demand for AI-Capable Processors in mobile devices.
In this market, different technology node of mobile artificial intelligence, such as 20-28nm, 10nm, 7nm and others are used in a wide range of industries. Lucintel forecasts that 10nm nodes will remain the largest segment due to increasing demand of 10nm technology nodes in new high end smartphones.
Within the mobile artificial intelligence market, smartphones will remain the largest application during the forecast period due increasing demand for real-time voice processing and image recognition.
Asia Pacific will remain the largest region the forecast period due to increasing number of start-ups in the mobile AI ecosystem and also the adoption of IoT devices is expected to increase in the APAC region.
Apple, NVIDIA, Huawei, Samsung Electronics, Qualcomm, Intel, IBM, Microsoft, MediaTek, and Google are among the major mobile artificial intelligence manufacturers.
Lucintel, a leading global strategic consulting and market research firm, has analyzed growth opportunities in the global mobile artificial intelligence market by technology node, application, and region. Lucintel has prepared a comprehensive research report titled “Growth Opportunities in the Global Mobile Artificial Intelligence Market 2021-2026: Trends, Forecast, and Opportunity Analysis.” This Lucintel report serves as a catalyst for growth strategy, as it provides comprehensive data and analysis on trends, key drivers, and directions. The study includes trends and forecast for the global mobile artificial intelligence market by technology node, application, and region as follows:
By Technology Node [$M shipment analysis for 2015 – 2026]:
20–28nm
10nm
7nm and Others (12nm and 14nm)
By Application [$M shipment analysis for 2015 – 2026]:
Smartphones
Cameras
Drones
Automotive
Robotics
Augmented Reality (AR)/ Virtual reality (VR)
Others (Smart Boards and PCs)
By Region [$M shipment analysis for 2015 – 2026]:
North America
United States
Canada
Mexico
Europe
Germany
United Kingdom
France
Italy
Asia Pacific
China
Japan
India
South Korea
The Rest of the World
This more than 150-page research report will enable you to make confident business decisions in this globally competitive marketplace. For a detailed table of contents, contact Lucintel at +1-972-636-5056 or visit us at helpdesk@lucintel.com.
About Lucintel
Lucintel, the premier global Management Consulting and market research firm, creates winning strategies for growth. We offer market assessments, competitive analysis, opportunity analysis, Growth Consulting, M&A, and Due diligence services to executives and key decision makers in a variety of industries. For further information, visit www.lucintel.com.
This report answers following 11 key questions:
Q.1 What are some of the most promising potential, high-growth opportunities for the global mobile artificial intelligence market by technology node (20-28nm, 10nm, 7nm and others), application (automotive, smartphone, camera, drone, robotics, AR/VR, and other applications), and region (North America, Europe, Asia Pacific, and the Rest of the World)?
Q.2 Which segments will grow at a faster pace and why?
Q.3 Which regions will grow at a faster pace and why?
Q.4 What are the key factors affecting market dynamics? What are the drivers and challenges of the mobile artificial intelligence market?
Q.5 What are the business risks and threats to the mobile artificial intelligence market?
Q.6 What are emerging trends in the mobile artificial intelligence market and the reasons behind them?
Q.7 What are some changing demands of customers in the mobile artificial intelligence market?
Q.8 What are the new developments in the mobile artificial intelligence market? Which companies are leading these developments?
Q.9 Who are the major players in the mobile artificial intelligence market? What strategic initiatives are being implemented by key players for business growth?
Q.10 What are some of the competitive products and processes in the mobile artificial intelligence market, and how big of a threat do they pose for loss of market share via material or product substitution?
Q.11 What M&A activities did take place in the last five years in the mobile artificial intelligence market?