Mobile Artificial Intelligence Market is expected to reach $84.80 billion by 2029; at a CAGR of 28%

mobile artificial intelligence market

The Mobile Artificial Intelligence Market study with 65+ market data Tables, Pie charts & Figures is now released by HTF MI. The research assessment of the Market is designed to analyze futuristic trends, growth factors, industry opinions, and industry-validated market facts to forecast till 2029. The market Study is segmented by key a region that is accelerating the marketization. This section also provides the scope of different segments and applications that can potentially influence the market in the future. The detailed information is based on current trends and historic milestones. Some of the players studied are IBM (United States), Microsoft  (United States), Huawei Technologies (United States), MediaTek (Taiwan), Apple Inc. (United States), Samsung Electronics (South Korea), Intel Corporation (United States), Qualcomm Incorporated (United States), Google Inc. (United States), Nvidia Corporation (United States).

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According to HTF Market Intelligence, The global mobile artificial intelligence (AI) market size is expected to reach $84.80 billion by 2029 from $8.56 billion in 2020, growing at a CAGR of 26.44% from 2022 to 2029. The market is segmented by Application (Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others) by Technology Node (20–28nm, 10nm, 7nm, Others) by Component (Hardware, Software, Services) and by Geography (North America, South America, Europe, Asia Pacific, MEA).

Definition:

Artificial intelligence has been in high demand across diverse applications in the last few years. Advancements in technology are expected to play an important role in the market, which is expected to support the development of the market in the next few years. Increasing demand for AI-Capable Processors in mobile devices is driving the market as there are various applications which help users in their day to day activites such as camera image benefits, language translator, voice assistants, and user behaviours.

Market Trends:

  • Emergence of Artificial Intelligence and Machine learning
  • Incredible Developments in Information and Communications Technology

Market Drivers:

  • Increasing Demand for AI-Capable Processors in Mobile Devices
  • Rise of Cognitive Computing and Growing Number of AI Applications

Market Opportunities:

  • Rising demand for Edge computing in IOT
  • The Increasing Dedicated Low-Cost AI Chips for Camera and Vision Applications in Mobile Devices

Mobile Artificial Intelligence Market Competitive Analysis:
Know your current market situation! Not just new products but ongoing products are also essential to analyze due to ever-changing market dynamics. The study allows marketers to understand consumer trends and segment analysis where they can face a rapid market share drop. Figure out who really the competition is in the marketplace, get to know market share analysis, market position, % Market Share, and segmented revenue.

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Players Included in Research Coverage: IBM (United States), Microsoft  (United States), Huawei Technologies (United States), MediaTek (Taiwan), Apple Inc. (United States), Samsung Electronics (South Korea), Intel Corporation (United States), Qualcomm Incorporated (United States), Google Inc. (United States), Nvidia Corporation (United States)

Additionally, Past Mobile Artificial Intelligence Market data breakdown, Market Entropy to understand development activity and Patent Analysis*, Competitors Swot Analysis, Product Specifications, and Peer Group Analysis including financial metrics are covered.

Segmentation and Targeting:
Essential demographic, geographic, psychographic, and behavioral information about business segments in the Mobile Artificial Intelligence market is targeted to aid in determining the features the company should encompass in order to fit into the business’s requirements. For the Consumer-based market – the study is also classified with Market Maker information in order to understand better who the clients are, their buying behavior, and patterns.

Mobile Artificial Intelligence Major Applications/End users: Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others

Mobile Artificial Intelligence Major Geographical First Level Segmentation:
• APAC (Japan, China, South Korea, Australia, India, and the Rest of APAC; the Rest of APAC is further segmented into Malaysia, Singapore, Indonesia, Thailand, New Zealand, Vietnam, and Sri Lanka)
• Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe; Rest of Europe is further segmented into Belgium, Denmark, Austria, Norway, Sweden, The Netherlands, Poland, Czech Republic, Slovakia, Hungary, and Romania)
• North America (U.S., Canada, and Mexico)
• South America (Brazil, Chile, Argentina, Rest of South America)
• MEA (Saudi Arabia, UAE, South Africa)

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Research Objectives:
– Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
– To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).

– To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
– To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
– To deliberately profile the key players and systematically examine their growth strategies.

FIVE FORCES & PESTLE ANALYSIS:
In order to better understand market conditions five forces analysis is conducted that includes the Bargaining power of buyers, Bargaining power of suppliers, Threat of new entrants, Threat of substitutes, and Threat of rivalry.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)

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