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.
Allied Market Research published a report, titled, "Mobile Artificial Intelligence (AI) Market by Technology Node (20–28nm, 10nm, 7nm, and Others), Component (Hardware, Software, and Services), and Application (Smartphones, Cameras, Drones, Automotive, Robotics, AR/VR, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2030." According to a report, 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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The report offers a detailed analysis of changing market trends, key segments, major investment pockets, competitive landscape, and investment feasibility.
The research offers a detailed analysis of driving factors, restraining factors, and opportunities of the global Mobile artificial intelligence (AI) market. These insights are helpful in determining further strategies and tap on opportunities to achieve long-term growth. Market players, investors, and new entrants can avail these insights for unlocking the huge potential and achieve competitive edge.
Major Players in the mobile artificial intelligence (AI) market:
The report provides an extensive analysis of top market players operating in the global Mobile artificial intelligence (AI) market size. The leading market players discussed 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)
They offer various strategies such as new product launches, partnerships, joint ventures, mergers and acquisitions, collaborations, expansion, and others to gain long-term growth and make an international presence.
Key Benefits for Stakeholders
- This study comprises analytical depiction of the global mobile artificial intelligence (AI) market trends along with the future estimations to depict the imminent investment pockets.
- The overall mobile artificial intelligence (AI) market analysis is determined to understand the profitable trends to gain a stronger foothold.
- The report presents information related to key drivers, restraints, and opportunities with a detailed impact analysis.
- The current mobile artificial intelligence (AI) market forecast is quantitatively analyzed from 2020 to 2028 to benchmark the financial competency.
- Porter's five forces analysis illustrates the potency of the buyers and the mobile artificial intelligence (AI) market share of key vendors.
- The report includes the market trends and the market share of key vendors.
The report provides a detailed segmentation of the global Mobile artificial intelligence (AI) market share based on type, applications, end user, and region. An extensive analysis of each segment and sub-segment is offered in the report. These insights are represented in the tabular and graphical formats. These insights will offer valuable guidance in adopting various strategies to achieve growth and consolidate market position during the forecast period.
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Mobile artificial intelligence (AI) market: Regional Analysis
The research offers an extensive competitive landscape for the global Mobile artificial intelligence (AI) market for various regions and countries. Regions analyzed in the research include North America (the U.S., Canada, and Mexico), Europe (the UK, Germany, Italy, France, and rest of Europe), Asia-Pacific (China, India, Japan, South Korea, Taiwan, and rest of Asia-Pacific), and LAMEA (Latin America, the Middle East, and Africa). The data and statistics regarding these regions and countries prove to be valuable in identifying strategies and exploring the potential. AMR also offers customization services for a specific country, region, and segment as per the requirements.
COVID-19 Impact on mobile artificial intelligence (AI) market:
The report provides the impact of the Covid-19 pandemic on the global Mobile artificial intelligence (AI) market growth. These insights are helpful in improvising strategies and reassessing business models to cope up with the pandemic. The major impact of the pandemic includes interruptions in manufacturing processes, disruptions in supply chain, and lack of availability of workforce. Investors and stakeholder can adapt their strategies by determining the investment feasibility as per the changing scenario.
Questions Answered in the Mobile artificial intelligence (AI) market Research Report
- Which are the leading players active in the mobile artificial intelligence (AI) market size?
- What are the detailed impacts of COVID-19 on the market?
- What current trends will influence the market in the next few years?
- What are the driving factors, restraints, and opportunities in the market?
- What future projections would help in taking further strategic steps?
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Key Market Segments
By Technology Node
- AR/ VR
- North America
- Rest of Europe
- South Korea
- Rest of Asia-Pacific
- Latin America
- Middle East
The Report Covers 9 Chapters (350+ Pages)
CHAPTER 2:EXECUTIVE SUMMARY
CHAPTER 3:MARKET OVERVIEW
CHAPTER 4:MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY TECHNOLOGY NODE
CHAPTER 5:MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY COMPONENT
CHAPTER 6:MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY APPLICATION
CHAPTER 7:MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET, BY REGION
CHAPTER 8:COMPETITIVE LANDSCAPE
CHAPTER 9:COMPANY PROFILES
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Pawan Kumar, the CEO of AMR, is leading the organization toward providing high-quality data and insights. 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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