June 15, 2024

Mobile Artificial Intelligence (AI) Market Size To Cross USD 170.07 Bn By 2032

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.

Mobile Artificial Intelligence (AI) Market Size 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 CoverageDetails
Market Size in 2023USD 19.59 Billion
Market Size by 2032USD 170.07 Billion
Growth Rate from 2023 to 2032CAGR of 27.14%
Largest MarketNorth America
Base Year2022
Forecast Period2023 To 2032
Segments CoveredBy Technology Node, By Component, By Application, and By Industry Vertical
Regions CoveredNorth 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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