모바일 인공지능(AI) 시장 : 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The global mobile artificial intelligence (AI) market size is expected to reach USD 164.62 Billion in 2034 from USD 26.56 Billion in 2025, growing at a CAGR of 22.47 during 2026-2034.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 carefully developed to deliver comprehensive and actionable insights across a wide range of industries and markets. Each report includes several essential components designed to provide a complete understanding of the market environment:

Market Overview: This section provides a clear introduction to the market, including key definitions, classifications, and an overview of the current industry landscape.

Market Dynamics: A detailed evaluation of the primary drivers, restraints, opportunities, and challenges shaping market growth. It covers factors such as technological developments, regulatory frameworks, and evolving industry trends.

Segmentation Analysis: A structured breakdown of the market into key segments based on product type, application, end-user, and geographic region. This section highlights the performance, growth potential, and contribution of each segment.

Competitive Landscape: An in-depth assessment of leading market participants, including their market positioning, product portfolios, strategic initiatives, and financial performance. It provides valuable insights into competitive dynamics and the strategies adopted by key players.

Market Forecast: Data-driven projections of market size and growth patterns over a defined forecast period. This section incorporates historical trends, current market conditions, and quantitative analysis to illustrate expected future developments.

Regional Analysis: A comprehensive review of market performance across major geographic regions, identifying high-growth areas and regional trends to better understand localized market opportunities.

Emerging Trends and Opportunities: Identification of significant market trends, technological advancements, and new investment opportunities. This section highlights potential growth areas and future industry developments.

Customization Options: We offer flexible customization services to tailor reports according to specific client requirements. This may include additional segmentation, country-level analysis, competitor profiling, customized data points, or focused insights on particular market segments to better support strategic decision-making.

MARKET SEGMENTATION

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

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY TECHNOLOGY 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Technology
• 4.2. 5nm-10nm Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. 11nm-20nm Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Above 20nm Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY COMPONENTS 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Components
• 5.2. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY APPLICATION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Application
• 6.2. Smartphones Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Drones Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Automotive Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.5. Cameras Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.6. Robotics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.7. Augmented Reality (AR) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.8. Virtual Reality (VR) Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.9. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET: BY REGION 2022-2034 (USD MN)

• 7.1. Regional Outlook
• 7.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.2.1 By Technology
  • 7.2.2 By Components
  • 7.2.3 By Application
  • 7.2.4 United States
  • 7.2.5 Canada
  • 7.2.6 Mexico
• 7.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.3.1 By Technology
  • 7.3.2 By Components
  • 7.3.3 By Application
  • 7.3.4 United Kingdom
  • 7.3.5 France
  • 7.3.6 Germany
  • 7.3.7 Italy
  • 7.3.8 Russia
  • 7.3.9 Rest Of Europe
• 7.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.4.1 By Technology
  • 7.4.2 By Components
  • 7.4.3 By Application
  • 7.4.4 India
  • 7.4.5 Japan
  • 7.4.6 South Korea
  • 7.4.7 Australia
  • 7.4.8 South East Asia
  • 7.4.9 Rest Of Asia Pacific
• 7.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.5.1 By Technology
  • 7.5.2 By Components
  • 7.5.3 By Application
  • 7.5.4 Brazil
  • 7.5.5 Argentina
  • 7.5.6 Peru
  • 7.5.7 Chile
  • 7.5.8 Rest of Latin America
• 7.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 7.6.1 By Technology
  • 7.6.2 By Components
  • 7.6.3 By Application
  • 7.6.4 Saudi Arabia
  • 7.6.5 UAE
  • 7.6.6 Israel
  • 7.6.7 South Africa
  • 7.6.8 Rest of the Middle East And Africa

Chapter 8. COMPETITIVE LANDSCAPE

• 8.1. Recent Developments
• 8.2. Company Categorization
• 8.3. Supply Chain & Channel Partners (based on availability)
• 8.4. Market Share & Positioning Analysis (based on availability)
• 8.5. Vendor Landscape (based on availability)
• 8.6. Strategy Mapping

Chapter 9. COMPANY PROFILES OF GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY

• 9.1. Top Companies Market Share Analysis
• 9.2. Company Profiles
  • 9.2.1 Huawei Technologies Co. Ltd
  • 9.2.2 Samsung
  • 9.2.3 Qualcomm Technologies Inc
  • 9.2.4 Intel Corporation
  • 9.2.5 NVIDIA Corporation
  • 9.2.6 AYASDI AI LLC
  • 9.2.7 Baidu Inc
  • 9.2.8 ClariFI Inc
  • 9.2.9 Cyrcadia Health
  • 9.2.10 Enlitic Inc
  • 9.2.11 Apple Inc
  • 9.2.12 IBM
  • 9.2.13 Microsoft
  • 9.2.14 Imagination Technologies Ltd
  • 9.2.15 Graphcore