June 12, 2024
ICT

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

The mobile artificial intelligence (AI) market size is poised to grow by USD 170.07 billion by 2032 from USD 15.41 billion in 2022, exhibiting a CAGR of 27.14% during the forecast period 2023-2032. 

Mobile Artificial Intelligence (AI) Market Size 2023 To 2032

Precedence Research has conducted a comprehensive market study that provides valuable insights into the performance of the market during the forecast period. The study identifies significant trends that are shaping the growth of the Mobile artificial intelligence (AI) market. In this recently published report, essential dynamics such as drivers, restraints, and opportunities are highlighted for both established market players and emerging participants involved in production and supply.

To begin with, the Mobile artificial intelligence (AI) Market report features an executive summary that offers a concise overview of the marketplace. It outlines the key players and industry categories expected to have an impact on the market in the coming years. The executive summary provides an unbiased summary of the market.

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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

Read More: Biodiesel Filter Market to See Booming CAGR Growth By 2032

The empirical study on the global Mobile artificial intelligence (AI) market primarily focuses on the drivers in subsequent sections. It demonstrates how changing demographics are projected to influence the supply and demand dynamics in the Mobile artificial intelligence (AI) Market. Our market report for the Mobile artificial intelligence (AI) market also delves into the significant rules and regulations that are likely to impact the future growth of this sector. Moreover, in order to comprehend the underlying demand factors, industry experts have provided insights into its fundamental origins.

Regional Snapshot:

In 2022, North America emerged as the dominant player, capturing a substantial share of 30.8% in the global revenue. This impressive performance can be attributed to the presence of numerous market players in the region. Furthermore, the region’s advancements in technology, driven by various developments made by companies, have positioned North America as a frontrunner in technology adoption. As a result, it has become the hub for major AI solution providers catering to mobile applications. These factors are expected to fuel significant growth in the market during the forecast period.

The increasing prevalence of artificial intelligence and the Internet of Things across various industries, coupled with the rising popularity of intelligent automation technologies, has further amplified the demand for mobile AI in North America. As a consequence, mobile AI is becoming an indispensable component in the region’s technological landscape.

Top 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

Data Sources and Methodology

To gather comprehensive insights on the Global Mobile artificial intelligence (AI) Market, we relied on a range of data sources and followed a well-defined methodology. Our approach involved interactions with industry experts and key stakeholders across the market’s value chain, including management organizations, processing organizations, and analytics service providers.

We followed a rigorous data analysis process to ensure the quality and credibility of our research. The gathered information was carefully evaluated, and relevant quantitative data was subjected to statistical analysis. By employing robust analytical techniques, we were able to derive meaningful insights and present a comprehensive overview of the Global Mobile artificial intelligence (AI) Market.

The most resonating, simple, genuine, and important causes because of which you must decide to buy the Mobile artificial intelligence (AI) market report exclusively from precedence research

  • The research report has been meticulously crafted to provide comprehensive knowledge on essential marketing strategies and a holistic understanding of crucial marketing plans spanning the forecasted period from 2023 to 2032.

Key Features of the Report:

  • Comprehensive Coverage: The report extensively encompasses a detailed explanation of highly effective analytical marketing methods applicable to companies across all industry sectors.
  • Decision-Making Enhancement: It outlines a concise overview of the decision-making process while highlighting key techniques to enhance it, ensuring favorable business outcomes in the future.
  • Articulated R&D Approach: The report presents a well-defined approach to conducting research and development (R&D) activities, enabling accurate data acquisition on current and future marketing conditions.

Mobile Artificial Intelligence (AI) 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

Reasons to Consider Purchasing the Report:

  • Enhance your market research capabilities by accessing this comprehensive and precise report on the global Mobile artificial intelligence (AI) market.
  • Gain a thorough understanding of the overall market landscape and be prepared to overcome challenges while ensuring robust growth.
  • Benefit from in-depth research and analysis of the latest trends shaping the global Mobile artificial intelligence (AI) market.
  • Obtain detailed insights into evolving market trends, current and future technologies, and strategic approaches employed by key players in the global Mobile artificial intelligence (AI) market.
  • Receive valuable recommendations and guidance for both new entrants and established players seeking further market expansion.
  • Discover not only the cutting-edge technological advancements in the global Mobile artificial intelligence (AI) market but also the strategic plans of industry leaders.

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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