by The global mobile artificial intelligence (AI) market size was estimated to be around US$ 15.41 billion in 2022. It is projected to reach US$ 170.07 billion by 2032, indicating 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.
The market research report on the Mobile artificial intelligence (AI) market provides a comprehensive analysis of various key aspects. It includes the definition, classification, and application of Mobile artificial intelligence (AI) products. The report examines the development trends, competitive landscape, and industrial chain structure within the industry. Furthermore, it presents an overview of the industry, analyzes national policies and planning, and offers insights into the latest market dynamics and opportunities at a global level.
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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 |
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The report presents the volume and value-based market size for the base year 2022 and forecasts the market’s growth between 2023 and 2032. It estimates market numbers based on product form and application, providing size and forecast for each application segment in both global and regional markets.
Focusing on the global Mobile artificial intelligence (AI) market, the report highlights its status, future forecasts, growth opportunities, key market players, and key market regions such as the United States, Europe, and China. The study aims to present the development of the Mobile artificial intelligence (AI) market by considering factors like Year-on-Year (Y-o-Y) growth, in addition to Compound Annual Growth Rate (CAGR). This approach enables a better understanding of market certainty and the identification of lucrative opportunities.
Regarding production, the report investigates the capacity, production, value, ex-factory price, growth rate, and market share of major manufacturers, regions, and product types. On the consumption side, the report focuses on the regional consumption of Mobile artificial intelligence (AI) products across different countries and applications.
Buyers of the report gain access to verified market figures, including global market size in terms of revenue and volume. The report provides reliable estimations and calculations for global revenue and volume by product type from 2023 to 2032. It also includes accurate figures for production capacity and production by region during the same period.
The research includes product parameters, production processes, cost structures, and data classified by region, technology, and application. Furthermore, it conducts SWOT analysis and investment feasibility studies for new projects.
This in-depth research report offers valuable insights into the Mobile artificial intelligence (AI) market. It employs an objective and fair approach to analyze industry trends, supporting customer competition analysis, development planning, and investment decision-making. The project received support and assistance from technicians and marketing personnel across various links in the industry chain.
The competitive landscape section of the report provides detailed information on Mobile artificial intelligence (AI) market competitors. It includes company overviews, financials, revenue generation, market potential, research and development investments, new market initiatives, global presence, production sites, production capacities, strengths and weaknesses, product launches, product range, and application dominance. However, the data points provided only focus on the companies’ activities related to the Mobile artificial intelligence (AI) market.
Prominent players in the market are expected to face tough competition from new entrants. Key players are targeting acquisitions of startup companies to maintain their dominance. The report
Reasons to Purchase this Report:
- Comprehensive market segmentation analysis incorporating qualitative and quantitative research, considering the impact of economic and policy factors.
- In-depth regional and country-level analysis, examining the demand and supply dynamics that influence market growth.
- Market size in USD million and volume in million units provided for each segment and sub-segment.
- Detailed competitive landscape, including market share of major players, recent projects, and strategies implemented over the past five years.
- Comprehensive company profiles encompassing product offerings, key financial information, recent developments, SWOT analysis, and employed strategies by major market players.
Key Players
- 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
Mobile Artificial Intelligence (AI) Market Segmentations
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
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
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
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