세계의 모바일 AI 시장 조사 보고서 : 산업 분석, 규모, 점유율, 성장, 동향, 예측(2025-2033년)

Global Mobile Artificial Intelligence (AI) Market size is anticipated to grow from USD 11.04 Billion in 2024 to USD 113.6 Billion by 2033, showcasing a robust Compound Annual Growth Rate (CAGR) of 29.57% during the forecast period of 2026 to 2033.

The mobile artificial intelligence (AI) market is on the cusp of explosive growth as advancements in machine learning and data processing capabilities continue to reshape the mobile landscape. With the proliferation of smartphones and mobile devices, the demand for AI-driven applications that enhance user experiences is skyrocketing. Mobile AI technologies enable devices to perform complex tasks such as image recognition, natural language processing, and predictive analytics, all while operating efficiently within the constraints of mobile hardware. As consumers increasingly seek personalized and intuitive experiences, the integration of AI into mobile applications will become a key differentiator for developers and brands alike.

Moreover, the rise of edge computing is significantly impacting the mobile AI market. By processing data closer to the source, edge computing reduces latency and enhances the performance of AI applications on mobile devices. This shift allows for real-time decision-making and analysis, which is particularly beneficial in applications such as augmented reality, gaming, and autonomous navigation. As mobile devices become more capable of handling AI workloads, the market is likely to see a surge in innovative applications that leverage these technologies to deliver enhanced functionality and user engagement.

Additionally, the growing emphasis on data privacy and security is shaping the mobile AI landscape. As consumers become more aware of the implications of data collection and usage, there is a pressing need for AI solutions that prioritize user privacy. Developers are increasingly focusing on creating AI models that can operate effectively with minimal data, ensuring compliance with regulations while still delivering valuable insights. As the mobile AI market evolves, stakeholders must remain attuned to consumer concerns and regulatory developments, positioning themselves to harness the full potential of AI while maintaining trust and transparency with users.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

SEGMENTATION COVERED IN THE REPORT

By Technology

• 5nm-10nm
• 11nm-20nm
• Above 20nm

By Components

• Hardware
• Software
• Services

By Application

• Smartphones
• Drones
• Automotive
• Cameras
• Robotics
• Augmented Reality (AR)
• Virtual Reality (VR)
• Others
• COMPANIES PROFILED
• Huawei Technologies Co. Ltd.
• Samsung
• Qualcomm Technologies Inc.
• Intel Corporation
• NVIDIA Corporation
• AYASDI AI LLC
• Baidu Inc.
• ClariFI Inc.
• Cyrcadia Health
• Enlitic Inc.
• Apple Inc.
• IBM
• Microsoft
• Imagination Technologies Ltd
• Graphcore
• The above list can be customized.

TABLE OF CONTENTS

1. PREFACE

• 1.1. Report Description
  • 1.1.1 Objective
  • 1.1.2 Target Audience
  • 1.1.3 Unique Selling Proposition (USP) & offerings
• 1.2. Research Scope
• 1.3. Research Methodology
  • 1.3.1 Market Research Process
  • 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

• 2.1. Highlights of Market
• 2.2. Global Market Snapshot

3. MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY ANALYSIS

• 3.1. Introduction - Market Dynamics
• 3.2. Market Drivers
• 3.3. Market Restraints
• 3.4. Opportunities
• 3.5. Industry Trends
• 3.6. Porter's Five Force Analysis
• 3.7. Market Attractiveness Analysis
  • 3.7.1 Market Attractiveness Analysis By Technology
  • 3.7.2 Market Attractiveness Analysis By Components
  • 3.7.3 Market Attractiveness Analysis By Application
  • 3.7.4 Market Attractiveness Analysis By Regions

4. VALUE CHAIN ANALYSIS

• 4.1. Value Chain Analysis
• 4.2. Raw Material Analysis
  • 4.2.1 List of Raw Materials
  • 4.2.2 Raw Material Manufactures List
  • 4.2.3 Price Trend of Key Raw Materials
• 4.3. List of Potential Buyers
• 4.4. Marketing Channel
  • 4.4.1 Direct Marketing
  • 4.4.2 Indirect Marketing
  • 4.4.3 Marketing Channel Development Trend

5. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY TECHNOLOGY

• 5.1. Overview By Technology
• 5.2. Historical and Forecast Data Analysis By Technology
• 5.3. 55nm-10nm Historic and Forecast Sales By Regions
• 5.4. 11nm-20nm Historic and Forecast Sales By Regions
• 5.5. Above 20nm Historic and Forecast Sales By Regions

6. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY COMPONENTS

• 6.1. Overview By Components
• 6.2. Historical and Forecast Data Analysis By Components
• 6.3. Hardware Historic and Forecast Sales By Regions
• 6.4. Software Historic and Forecast Sales By Regions
• 6.5. Services Historic and Forecast Sales By Regions

7. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY APPLICATION

• 7.1. Overview By Application
• 7.2. Historical and Forecast Data Analysis By Application
• 7.3. Smartphones Historic and Forecast Sales By Regions
• 7.4. Drones Historic and Forecast Sales By Regions
• 7.5. Automotive Historic and Forecast Sales By Regions
• 7.6. Cameras Historic and Forecast Sales By Regions
• 7.7. Robotics Historic and Forecast Sales By Regions
• 7.8. Augmented Reality (AR) Historic and Forecast Sales By Regions
• 7.9. Virtual Reality (VR) Historic and Forecast Sales By Regions
• 7.10. Others Historic and Forecast Sales By Regions

8. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY GEOGRAPHY

• 8.1. Regional Outlook
• 8.2. Introduction
• 8.3. North America Sales Analysis
  • 8.3.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.3.2 North America By Segment Sales Analysis
  • 8.3.3 North America By Country Sales Analysis
  • 8.3.4 United States Sales Analysis
  • 8.3.5 Canada Sales Analysis
  • 8.3.6 Mexico Sales Analysis
• 8.4. Europe Sales Analysis
  • 8.4.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.4.2 Europe By Segment Sales Analysis
  • 8.4.3 Europe By Country Sales Analysis
  • 8.4.4 United Kingdom Sales Analysis
  • 8.4.5 France Sales Analysis
  • 8.4.6 Germany Sales Analysis
  • 8.4.7 Italy Sales Analysis
  • 8.4.8 Russia Sales Analysis
  • 8.4.9 Rest Of Europe Sales Analysis
• 8.5. Asia Pacific Sales Analysis
  • 8.5.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.5.2 Asia Pacific By Segment Sales Analysis
  • 8.5.3 Asia Pacific By Country Sales Analysis
  • 8.5.4 China Sales Analysis
  • 8.5.5 India Sales Analysis
  • 8.5.6 Japan Sales Analysis
  • 8.5.7 South Korea Sales Analysis
  • 8.5.8 Australia Sales Analysis
  • 8.5.9 South East Asia Sales Analysis
  • 8.5.10 Rest Of Asia Pacific Sales Analysis
• 8.6. Latin America Sales Analysis
  • 8.6.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.6.2 Latin America By Segment Sales Analysis
  • 8.6.3 Latin America By Country Sales Analysis
  • 8.6.4 Brazil Sales Analysis
  • 8.6.5 Argentina Sales Analysis
  • 8.6.6 Peru Sales Analysis
  • 8.6.7 Chile Sales Analysis
  • 8.6.8 Rest of Latin America Sales Analysis
• 8.7. Middle East & Africa Sales Analysis
  • 8.7.1 Overview, Historic and Forecast Data Sales Analysis
  • 8.7.2 Middle East & Africa By Segment Sales Analysis
  • 8.7.3 Middle East & Africa By Country Sales Analysis
  • 8.7.4 Saudi Arabia Sales Analysis
  • 8.7.5 UAE Sales Analysis
  • 8.7.6 Israel Sales Analysis
  • 8.7.7 South Africa Sales Analysis
  • 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE MOBILE ARTIFICIAL INTELLIGENCE (AI) COMPANIES

• 9.1. Mobile Artificial Intelligence (AI) Market Competition
• 9.2. Partnership/Collaboration/Agreement
• 9.3. Merger And Acquisitions
• 9.4. New Product Launch
• 9.5. Other Developments

10. COMPANY PROFILES OF MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Market Concentration Rate
• 10.3. Huawei Technologies Co. Ltd.
  • 10.3.1 Company Overview
  • 10.3.2 Company Revenue
  • 10.3.3 Products
  • 10.3.4 Recent Developments
• 10.4. Samsung
  • 10.4.1 Company Overview
  • 10.4.2 Company Revenue
  • 10.4.3 Products
  • 10.4.4 Recent Developments
• 10.5. Qualcomm Technologies Inc.
  • 10.5.1 Company Overview
  • 10.5.2 Company Revenue
  • 10.5.3 Products
  • 10.5.4 Recent Developments
• 10.6. Intel Corporation
  • 10.6.1 Company Overview
  • 10.6.2 Company Revenue
  • 10.6.3 Products
  • 10.6.4 Recent Developments
• 10.7. NVIDIA Corporation
  • 10.7.1 Company Overview
  • 10.7.2 Company Revenue
  • 10.7.3 Products
  • 10.7.4 Recent Developments
• 10.8. AYASDI AI LLC
  • 10.8.1 Company Overview
  • 10.8.2 Company Revenue
  • 10.8.3 Products
  • 10.8.4 Recent Developments
• 10.9. Baidu Inc.
  • 10.9.1 Company Overview
  • 10.9.2 Company Revenue
  • 10.9.3 Products
  • 10.9.4 Recent Developments
• 10.10. ClariFI Inc.
  • 10.10.1 Company Overview
  • 10.10.2 Company Revenue
  • 10.10.3 Products
  • 10.10.4 Recent Developments
• 10.11. Cyrcadia Health
  • 10.11.1 Company Overview
  • 10.11.2 Company Revenue
  • 10.11.3 Products
  • 10.11.4 Recent Developments
• 10.12. Enlitic Inc.
  • 10.12.1 Company Overview
  • 10.12.2 Company Revenue
  • 10.12.3 Products
  • 10.12.4 Recent Developments
• 10.13. Apple Inc.
  • 10.13.1 Company Overview
  • 10.13.2 Company Revenue
  • 10.13.3 Products
  • 10.13.4 Recent Developments
• 10.14. IBM
  • 10.14.1 Company Overview
  • 10.14.2 Company Revenue
  • 10.14.3 Products
  • 10.14.4 Recent Developments
• 10.15. Microsoft
  • 10.15.1 Company Overview
  • 10.15.2 Company Revenue
  • 10.15.3 Products
  • 10.15.4 Recent Developments
• 10.16. Imagination Technologies Ltd
  • 10.16.1 Company Overview
  • 10.16.2 Company Revenue
  • 10.16.3 Products
  • 10.16.4 Recent Developments
• 10.17. Graphcore
  • 10.17.1 Company Overview
  • 10.17.2 Company Revenue
  • 10.17.3 Products
  • 10.17.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies