According to the research report, the global mobile artificial intelligence (AI) market size is expected to touch USD 170.07 Billion by 2032, from USD 15.41 Billion in 2022, growing with a significant 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 mobile artificial intelligence (AI) report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global mobile artificial intelligence (AI) in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global mobile artificial intelligence (AI) market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global mobile artificial intelligence (AI) during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
Sample Link @ https://www.precedenceresearch.com/sample/3143
This study covers a detailed segmentation of the global mobile artificial intelligence (AI) market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global mobile artificial intelligence (AI) market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
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
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
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global mobile artificial intelligence (AI) report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global mobile artificial intelligence (AI) market.
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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