Mobile Artificial Intelligence (AI) Market Size to Record US$ 170.07 Billion by 2032

According to a recent research report titled ” Mobile Artificial Intelligence (AI) Market (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, Others; By Industry Vertical: Consumer electronics, Entertainment & Gaming Manufacturing, Automotive, Others) – Global Industry Analysis, Size, Share, Growth, Trends, Regional Outlook, and Forecast 2023-2032″ published by Precedence Research, the global mobile artificial intelligence (AI) market size is projected to touch around USD 170.07 billion by 2032 and growing at a CAGR of 27.14% over the forecast period 2023 to 2032. This comprehensive study examines various factors and their impact on the growth of the MOBILE ARTIFICIAL INTELLIGENCE (AI) market.

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 report primarily focuses on the volume and value of the MOBILE ARTIFICIAL INTELLIGENCE (AI) market at the global, regional, and company levels. At the global level, the report analyzes historical data and future prospects to present an overview of the overall market size. Regionally, the study emphasizes key regions such as North America, Europe, the Middle East & Africa, Latin America, and others.

Furthermore, the research report provides specific segmentations based on regions (countries), companies, and all market segments. This analysis offers insights into the growth and revenue trends during the historical period of 2017 to 2032, as well as the projected period. By understanding these segments, it becomes possible to identify the significance of different factors that contribute to market growth.

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The research also highlights significant progressions in both organic and inorganic growth strategies within the global mobile artificial intelligence (AI) market. Numerous companies are placing emphasis on new product launches, gaining product approvals, and implementing various business expansion tactics. Moreover, the report presents detailed profiles of firms operating in the mobile artificial intelligence (AI) market, along with their respective market strategies. Additionally, the study concentrates on prominent industry participants, furnishing details such as company profiles, product offerings, financial updates, and noteworthy advancements.

Mobile Artificial Intelligence (AI) Market Report Scope 

Also read: Biodiesel Filter Market to Show Incredible Growth 2023 to 2032

Major Key Points Covered in Report:

Executive Summary: It includes key trends of the electric vehicle fuel cell market related to products, applications, and other crucial factors. It also provides analysis of the competitive landscape and CAGR and market size of the electric vehicle fuel cell market based on production and revenue.

Production and Consumption by Region: It covers all regional markets to which the research study relates. Prices and key players in addition to production and consumption in each regional market are discussed.

Key Players: Here, the report throws light on financial ratios, pricing structure, production cost, gross profit, sales volume, revenue, and gross margin of leading and prominent companies competing in the Electric vehicle fuel cell market.

Market Segments: This part of the report discusses product, application and other segments of the electric vehicle fuel cell market based on market share, CAGR, market size, and various other factors.

Research Methodology: This section discusses the research methodology and approach used to prepare the report. It covers data triangulation, market breakdown, market size estimation, and research design and/or programs.

Market Key Players

The report incorporates company profiles of key players in the market. These profiles encompass vital information such as product portfolio, key strategies, and a comprehensive SWOT analysis for each player. Additionally, the report presents a matrix illustrating the presence of each prominent player, enabling readers to gain actionable insights. This facilitates a thoughtful assessment of the market status and aids in predicting the level of competition in the mobile artificial intelligence (AI) market.

Some of the prominent players in the mobile artificial intelligence (AI) market include

• 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

Why should you invest in this report?

This report presents a compelling investment opportunity for those interested in the global mobile artificial intelligence (AI) market. It serves as an extensive and informative guide, offering clear insights into this niche market. By delving into the report, you will gain a comprehensive understanding of the various major application areas for mobile artificial intelligence (AI). Furthermore, it provides crucial information about the key regions worldwide that are expected to experience substantial growth within the forecast period of 2023-2030. Armed with this knowledge, you can strategically plan your market entry approaches.

Moreover, this report offers a deep analysis of the competitive landscape, equipping you with valuable insights into the level of competition prevalent in this highly competitive market. If you are already an established player, it will enable you to assess the strategies employed by your competitors, allowing you to stay ahead as market leaders. For newcomers entering this market, the extensive data provided in this report is invaluable, providing a solid foundation for informed decision-making.

Some of the key questions answered in this report:       

• What is the size of the overall Mobile artificial intelligence (AI) market and its segments?
• What are the key segments and sub-segments in the market?
• What are the key drivers, restraints, opportunities and challenges of the Mobile artificial intelligence (AI) market and how they are expected to impact the market?
• What are the attractive investment opportunities within the Mobile artificial intelligence (AI) market?
• What is the Mobile artificial intelligence (AI) market size at the regional and country-level?
• Who are the key market players and their key competitors?
• What are the strategies for growth adopted by the key players in Mobile artificial intelligence (AI) market?
• What are the recent trends in Mobile artificial intelligence (AI) market? (M&A, partnerships, new product developments, expansions)?
• What are the challenges to the Mobile artificial intelligence (AI) market growth?
• What are the key market trends impacting the growth of 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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