The global mobile artificial intelligence (AI) market size accounted for US$ 15.41 Bn in 2022 and is projected to reach around USD 170.07 Bn by 2032, growing at a CAGR of 27.14% from 2023 to 2032.
Key Takeaways:
- North America generated more than 31% of revenue share in 2022.
- By technology node, the 10 nm segment captured more than 45% of revenue share in 2022.
- By component, the software segment is expected to hold a significant market share over the forecast period.
- By application, the smartphone segment contributed more than 38% of revenue share in 2022.
- By industry vertical, the consumer electronics segment is expected to dominate the market over the projected period.
Report Summary
The global mobile artificial intelligence (AI) market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.
The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the mobile artificial intelligence (AI) market across the globe.
A comprehensive estimate on the mobile artificial intelligence (AI) market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of mobile artificial intelligence (AI) during the forecast period. Price point comparison by region with global average price is also considered in the study.
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Mobile Artificial Intelligence (AI) Market Report Scope
Report Coverage | Details |
Market Size in 2023 | USD 19.59 Billion |
Market Size by 2032 | USD 170.07 Billion |
Growth Rate from 2023 to 2032 | CAGR of 27.14% |
Largest Market | North America |
Base Year | 2022 |
Forecast Period | 2023 To 2032 |
Segments Covered | By Technology Node, By Component, By Application, and By Industry Vertical |
Regions Covered | North America, Europe, Asia-Pacific, Latin America and Middle East & Africa |
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized mobile artificial intelligence (AI) market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.
Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.
Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.
Also Read: Biodiesel Filter Market Size Analysis 2023 To 2032
Mobile Artificial Intelligence (AI) Market Players
The report includes the profiles of key mobile artificial intelligence (AI) market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.
Major companies operating in this area
- IBM Corporation
- Mediatek
- Intel Corporation
- Qualcomm Inc
- Microsoft Corporation
- Deephi Tech
- Huawei (Hisilicon)
- GoogleLLC
- Nvidia
- Samsung
- Cerebras Systems
- Graphcore
- Cambricon Technology
- Shanghai Thinkforce Electronic Technology Co., Ltd (Thinkforce)
- Apple Inc
Market Segmentation
By Technology Node
- 5 to 7 nm
- 10 nm
- 20 to 28 nm
- Others
By Component
- Hardware
- Software
- Services
By Application
- Smartphones
- Cameras
- Drones
- Automotive
- Robotics
- Augmented Reality/Virtual Reality (AR/VR)
- Others
By Industry Vertical
- Consumer electronics
- Entertainment & Gaming
- Manufacturing
- Automotive
- Others
Regional Segmentation
- North America (U.S., Canada, Mexico)
- Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
- Latin America (Brazil and Rest of Latin America)
- Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)
Research Methodology
Secondary Research
It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.
The secondary research sources referred in the process are as follows:
- Governmental bodies, and organizations creating economic policies
- National and international social welfare institutions
- Company websites, financial reports and SEC filings, broker and investor reports
- Related patent and regulatory databases
- Statistical databases and market reports
- Corporate Presentations, news, press release, and specification sheet of Manufacturers
Primary Research
Primary research includes face-to-face interviews, online surveys, and telephonic interviews.
- Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
- In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.
TABLE OF CONTENT
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology (Premium Insights)
2.1. Research Approach
2.2. Data Sources
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
Chapter 4. Market Variables and Scope
4.1. Introduction
4.2. Market Classification and Scope
4.3. Industry Value Chain Analysis
4.3.1. Raw Material Procurement Analysis
4.3.2. Sales and Distribution Channel Analysis
4.3.3. Downstream Buyer Analysis
Chapter 5. COVID 19 Impact on Mobile Artificial Intelligence (AI) Market
5.1. COVID-19 Landscape: Mobile Artificial Intelligence (AI) Industry Impact
5.2. COVID 19 – Impact Assessment for the Industry
5.3. COVID 19 Impact: Global Major Government Policy
5.4. Market Trends and Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1.1. Company Market Share/Positioning Analysis
7.1.2. Key Strategies Adopted by Players
7.1.3. Vendor Landscape
7.1.3.1. List of Suppliers
7.1.3.2. List of Buyers
Chapter 8. Global Mobile Artificial Intelligence (AI) Market, By Technology Node
8.1. Mobile Artificial Intelligence (AI) Market, by Technology Node, 2023-2032
8.1.1. 5 to 7 nm
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. 10 nm
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. 20 to 28 nm
8.1.3.1. Market Revenue and Forecast (2020-2032)
8.1.4. Others
8.1.4.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Mobile Artificial Intelligence (AI) Market, By Component
9.1. Mobile Artificial Intelligence (AI) Market, by Component, 2023-2032
9.1.1. Hardware
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Software
9.1.2.1. Market Revenue and Forecast (2020-2032)
9.1.3. Services
9.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Mobile Artificial Intelligence (AI) Market, By Application
10.1. Mobile Artificial Intelligence (AI) Market, by Application, 2023-2032
10.1.1. Smartphones
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. Cameras
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Drones
10.1.3.1. Market Revenue and Forecast (2020-2032)
10.1.4. Automotive
10.1.4.1. Market Revenue and Forecast (2020-2032)
10.1.5. Robotics
10.1.5.1. Market Revenue and Forecast (2020-2032)
10.1.6. Augmented Reality/Virtual Reality (AR/VR)
10.1.6.1. Market Revenue and Forecast (2020-2032)
10.1.7. Others
10.1.7.1. Market Revenue and Forecast (2020-2032)
Chapter 11. Global Mobile Artificial Intelligence (AI) Market, By Industry Vertical
11.1. Mobile Artificial Intelligence (AI) Market, by Industry Vertical, 2023-2032
11.1.1. Consumer electronics
11.1.1.1. Market Revenue and Forecast (2020-2032)
11.1.2. Entertainment & Gaming
11.1.2.1. Market Revenue and Forecast (2020-2032)
11.1.3. Manufacturing
11.1.3.1. Market Revenue and Forecast (2020-2032)
11.1.4. Automotive
11.1.4.1. Market Revenue and Forecast (2020-2032)
11.1.5. Others
11.1.5.1. Market Revenue and Forecast (2020-2032)
Chapter 12. Global Mobile Artificial Intelligence (AI) Market, Regional Estimates and Trend Forecast
12.1. North America
12.1.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.1.2. Market Revenue and Forecast, by Component (2020-2032)
12.1.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.1.5. U.S.
12.1.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.1.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.1.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.1.6. Rest of North America
12.1.6.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.1.6.2. Market Revenue and Forecast, by Component (2020-2032)
12.1.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.1.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.2. Europe
12.2.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.2.2. Market Revenue and Forecast, by Component (2020-2032)
12.2.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.2.5. UK
12.2.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.2.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.2.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.2.6. Germany
12.2.6.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.2.6.2. Market Revenue and Forecast, by Component (2020-2032)
12.2.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.2.7. France
12.2.7.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.2.7.2. Market Revenue and Forecast, by Component (2020-2032)
12.2.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.2.8. Rest of Europe
12.2.8.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.2.8.2. Market Revenue and Forecast, by Component (2020-2032)
12.2.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.2.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.3. APAC
12.3.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.3.2. Market Revenue and Forecast, by Component (2020-2032)
12.3.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.3.5. India
12.3.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.3.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.3.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.3.6. China
12.3.6.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.3.6.2. Market Revenue and Forecast, by Component (2020-2032)
12.3.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.3.7. Japan
12.3.7.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.3.7.2. Market Revenue and Forecast, by Component (2020-2032)
12.3.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.3.8. Rest of APAC
12.3.8.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.3.8.2. Market Revenue and Forecast, by Component (2020-2032)
12.3.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.3.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.4. MEA
12.4.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.4.2. Market Revenue and Forecast, by Component (2020-2032)
12.4.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.4.5. GCC
12.4.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.4.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.4.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.4.6. North Africa
12.4.6.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.4.6.2. Market Revenue and Forecast, by Component (2020-2032)
12.4.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.4.7. South Africa
12.4.7.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.4.7.2. Market Revenue and Forecast, by Component (2020-2032)
12.4.7.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.7.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.4.8. Rest of MEA
12.4.8.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.4.8.2. Market Revenue and Forecast, by Component (2020-2032)
12.4.8.3. Market Revenue and Forecast, by Application (2020-2032)
12.4.8.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.5. Latin America
12.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.5.5. Brazil
12.5.5.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.5.5.2. Market Revenue and Forecast, by Component (2020-2032)
12.5.5.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.5.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
12.5.6. Rest of LATAM
12.5.6.1. Market Revenue and Forecast, by Technology Node (2020-2032)
12.5.6.2. Market Revenue and Forecast, by Component (2020-2032)
12.5.6.3. Market Revenue and Forecast, by Application (2020-2032)
12.5.6.4. Market Revenue and Forecast, by Industry Vertical (2020-2032)
Chapter 13. Company Profiles
13.1. IBM Corporation
13.1.1. Company Overview
13.1.2. Product Offerings
13.1.3. Financial Performance
13.1.4. Recent Initiatives
13.2. Mediatek
13.2.1. Company Overview
13.2.2. Product Offerings
13.2.3. Financial Performance
13.2.4. Recent Initiatives
13.3. Intel Corporation
13.3.1. Company Overview
13.3.2. Product Offerings
13.3.3. Financial Performance
13.3.4. Recent Initiatives
13.4. Qualcomm Inc
13.4.1. Company Overview
13.4.2. Product Offerings
13.4.3. Financial Performance
13.4.4. Recent Initiatives
13.5. Microsoft Corporation
13.5.1. Company Overview
13.5.2. Product Offerings
13.5.3. Financial Performance
13.5.4. Recent Initiatives
13.6. Deephi Tech
13.6.1. Company Overview
13.6.2. Product Offerings
13.6.3. Financial Performance
13.6.4. Recent Initiatives
13.7. Huawei (Hisilicon)
13.7.1. Company Overview
13.7.2. Product Offerings
13.7.3. Financial Performance
13.7.4. Recent Initiatives
13.8. GoogleLLC
13.8.1. Company Overview
13.8.2. Product Offerings
13.8.3. Financial Performance
13.8.4. Recent Initiatives
13.9. Nvidia
13.9.1. Company Overview
13.9.2. Product Offerings
13.9.3. Financial Performance
13.9.4. Recent Initiatives
13.10. Samsung
13.10.1. Company Overview
13.10.2. Product Offerings
13.10.3. Financial Performance
13.10.4. Recent Initiatives
Chapter 14. Research Methodology
14.1. Primary Research
14.2. Secondary Research
14.3. Assumptions
Chapter 15. Appendix
15.1. About Us
15.2. Glossary of Terms
Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.
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