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

The Mobile Artificial Intelligence (AI) Market size is expected to reach USD 147.24 Billion in 2034 from USD 14.30 Billion (2025) growing at a CAGR of 29.57% 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 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.

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

We can customise the report as per your requriements

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 South East Asia
  • 7.5.9 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