세계의 모바일 인공지능 시장 규모, 점유율, 동향 분석 보고서, 용도별, 기술 노드별, 지역별 전망과 예측(2024-2031년)

The Global Mobile Artificial Intelligence Market size is expected to reach $102.37 billion by 2031, rising at a market growth of 26.2% CAGR during the forecast period.

Incorporating AI in AR/VR applications enhances immersive experiences by improving spatial awareness, motion tracking, and virtual object interaction. AI-powered AR/VR is increasingly deployed in sectors like real estate for virtual property tours, healthcare for surgical simulations, and retail for personalized shopping experiences. As consumer and enterprise adoption of AR/VR solutions expands, the demand for AI-enabled devices in this segment is anticipated to grow rapidly. Thus, in 2023, the AR/VR segment procured 13% revenue share in the market.

The major strategies followed by the market participants are product launches as the key developmental strategy to keep pace with the changing demands of end users. For instance, In December, 2024, NVIDIA Corporation partnered with Verizon to combine AI with private 5G networks and mobile edge computing (MEC) to deliver real-time AI services. The collaboration aims to enhance industries through ultra-low latency, dedicated bandwidth, improved security, and scalable solutions for enterprise AI workloads. Additionally, In February, 2024, Nokia Corporation partnered with NVIDIA to revolutionize AI-ready radio access networks (RAN), combining Nokia's anyRAN approach with NVIDIA's Grace CPU and GPUs for Cloud RAN and AI-RAN solutions. This enhances energy-efficient, high-performance networks, driving innovation, flexibility, and operational efficiency in telecommunications through advanced AI-enabled telco services and infrastructure.

Based on the Analysis presented in the KBV Cardinal matrix; Apple Inc., Google LLC, and Microsoft Corporation are the forerunners in the Mobile Artificial Intelligence Market. Companies such as Amazon Web Services, Inc., NVIDIA Corporation, and Huawei Technologies Co., Ltd. are some of the key innovators in Mobile Artificial Intelligence Market. In December, 2024, Google LLC unveiled Gemini 2.0, an advanced AI model that enhances multimodality, long context, and tool use. It allows AI agents to act on your behalf. Gemini 2.0 will power advanced features in Search, Deep Research, and more, transforming user experiences.

Market Growth Factors

The increasing demand for AI-powered applications drives significant growth in the market. Across multiple industries, including healthcare, finance, retail, and entertainment, mobile applications enhanced with artificial intelligence are essential for delivering better user experiences, improving operational efficiencies, and unlocking new business opportunities. In conclusion, rising demand for advanced AI-powered mobile applications across industries propels the market's growth.

Additionally, the digital transformation of businesses across industries is another critical driver for the market. As companies digitize their operations, they increasingly invest in AI-driven technologies to improve productivity, enhance customer experience, and gain a competitive edge. AI is seen as a crucial enabler in the digital transformation journey, and its application in mobile devices is a natural extension of this broader trend. Thus, growing investments in digital transformation worldwide are driving the growth of the market.

Market Restraining Factors

One key restraint in the market is the high cost associated with developing and integrating AI technologies into mobile devices. AI requires significant computational power, specialized hardware, and advanced software algorithms, all contributing to the cost of developing AI-powered mobile applications and devices. In conclusion, the high costs of developing and integrating AI technologies into mobile devices are impeding the market's growth.

Technology Node Outlook

On the basis of technology node, the is segmented into 7 nm, 10 nm, 20-28 nm, and other technology node (12 nm and 14 nm). The 10 nm segment recorded 43% revenue share in the market in 2023. This dominance is attributed to its balance between power efficiency and performance, making it an ideal choice for mid-to-high-range mobile devices.

Application Outlook

Based on application, the market is categorized into smartphones, cameras, drones, automobile, robotics, AR/VR, and others. The robotics segment witnessed 16% revenue share in the market in 2023. AI-powered robotics solutions are increasingly used in industrial automation, healthcare, and home applications, driving the segment's growth.

Regional Outlook

Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Asia Pacific region generated 28% revenue share in the market in 2023. Factors such as increasing smartphone penetration, rising adoption of AI in consumer electronics, and government initiatives supporting AI development contribute significantly to the region's growth.

Recent Strategies Deployed in the Market

• Dec-2024: NVIDIA Corporation partnered with Verizon to combine AI with private 5G networks and mobile edge computing (MEC) to deliver real-time AI services. The collaboration aims to enhance industries through ultra-low latency, dedicated bandwidth, improved security, and scalable solutions for enterprise AI workloads.
• Dec-2024: Google LLC unveiled Gemini 2.0, an advanced AI model that enhances multimodality, long context, and tool use. It allows AI agents to act on your behalf. Gemini 2.0 will power advanced features in Search, Deep Research, and more, transforming user experiences.
• Nov-2024: Huawei Technologies Co., Ltd. launched 5G-AA solutions, integrating 5.5G and AI to enhance networks for diverse services. Key innovations include Sub-1 GHz Massive MIMO for coverage, Blade AAU X for simplified sub-6 GHz deployment, and U6GHz AAU for continuous 10 Gbps, empowering operators with advanced performance and autonomy.
• Oct-2024: Apple Inc. unveiled a free iOS 18 update that adds AI features to its iPhone 16 lineup. The update, available to U.S. users now and internationally next year, will enhance Siri, making it more conversational and capable.
• Sep-2024: NVIDIA Corporation unveiled its AI-RAN platform, AI Aerial, for AI-powered mobile network infrastructure, partnering with T-Mobile, Ericsson, and Nokia on an AI-RAN Innovation Center. Meanwhile, SoftBank and Intelsat plan a hybrid 5G network combining terrestrial and satellite connections for seamless global coverage, targeting commercial, mobile, maritime, and disaster solutions.
• Sep-2024: Apple Inc. unveiled the iPhone 16, designed for "Apple Intelligence," its new suite of AI features. With AI-powered capabilities like image editing and translation, the iPhone aims to boost sales and demonstrate.
• Aug-2024: Google LLC unveiled new Pixel smartphones featuring deeper AI integration, including a Pixel-exclusive screenshot search and the Gemini chatbot for in-app use. The company highlighted its progress in AI with live demos, marking the start of the "Gemini era".

List of Key Companies Profiled

• Nokia Corporation
• Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
• IBM Corporation
• Microsoft Corporation
• Amazon Web Services, Inc. (Amazon.com, Inc.)
• Intel Corporation
• Qualcomm Incorporated (Qualcomm Technologies, Inc.)
• NVIDIA Corporation
• Apple Inc.
• Google LLC (Alphabet Inc.)

Global Mobile Artificial Intelligence Market Report Segmentation

By Application

• Smartphones
• Robotics
• AR/VR
• Cameras
• Drones
• Automobile
• Other Application

By Technology Node

• 10 nm
• 7 nm
• 20-28 nm
• Other Technology Node(12 nm and 14 nm)

By Geography

• North America
  • US
  • Canada
  • Mexico
  • Rest of North America
• Europe
  • Germany
  • UK
  • France
  • Russia
  • Spain
  • Italy
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Malaysia
  • Rest of Asia Pacific
• LAMEA
  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology

• 1.1 Market Definition
• 1.2 Objectives
• 1.3 Market Scope
• 1.4 Segmentation
  • 1.4.1 Global Mobile Artificial Intelligence Market, by Application
  • 1.4.2 Global Mobile Artificial Intelligence Market, by Technology Node
  • 1.4.3 Global Mobile Artificial Intelligence Market, by Geography
• 1.5 Methodology for the research

Chapter 2. Market at a Glance

• 2.1 Key Highlights

Chapter 3. Market Overview

• 3.1 Introduction
  • 3.1.1 Overview
    • 3.1.1.1 Market Composition and Scenario
• 3.2 Key Factors Impacting the Market
  • 3.2.1 Market Drivers
  • 3.2.2 Market Restraints
  • 3.2.3 Market Opportunities
  • 3.2.4 Market Challenges

Chapter 4. Competition Analysis - Global

• 4.1 KBV Cardinal Matrix
• 4.2 Recent Industry Wide Strategic Developments
  • 4.2.1 Partnerships, Collaborations and Agreements
  • 4.2.2 Product Launches and Product Expansions
• 4.3 Market Share Analysis, 2023
• 4.4 Top Winning Strategies
  • 4.4.1 Key Leading Strategies: Percentage Distribution (2020-2024)
  • 4.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2017, Jun - 2021, Jun) Leading Players
• 4.5 Porter Five Forces Analysis

Chapter 5. Global Mobile Artificial Intelligence Market by Application

• 5.1 Global Smartphones Market by Region
• 5.2 Global Robotics Market by Region
• 5.3 Global AR/VR Market by Region
• 5.4 Global Cameras Market by Region
• 5.5 Global Drones Market by Region
• 5.6 Global Automobile Market by Region
• 5.7 Global Other Application Market by Region

Chapter 6. Global Mobile Artificial Intelligence Market by Technology Node

• 6.1 Global 10 nm Market by Region
• 6.2 Global 7 nm Market by Region
• 6.3 Global 20-28 nm Market by Region
• 6.4 Global Other Technology Node(12 nm and 14 nm) Market by Region

Chapter 7. Global Mobile Artificial Intelligence Market by Region

• 7.1 North America Mobile Artificial Intelligence Market
  • 7.1.1 North America Mobile Artificial Intelligence Market by Application
    • 7.1.1.1 North America Smartphones Market by Country
    • 7.1.1.2 North America Robotics Market by Country
    • 7.1.1.3 North America AR/VR Market by Country
    • 7.1.1.4 North America Cameras Market by Country
    • 7.1.1.5 North America Drones Market by Country
    • 7.1.1.6 North America Automobile Market by Country
    • 7.1.1.7 North America Other Application Market by Country
  • 7.1.2 North America Mobile Artificial Intelligence Market by Technology Node
    • 7.1.2.1 North America 10 nm Market by Country
    • 7.1.2.2 North America 7 nm Market by Country
    • 7.1.2.3 North America 20-28 nm Market by Country
    • 7.1.2.4 North America Other Technology Node(12 nm and 14 nm) Market by Country
  • 7.1.3 North America Mobile Artificial Intelligence Market by Country
    • 7.1.3.1 US Mobile Artificial Intelligence Market
      • 7.1.3.1.1 US Mobile Artificial Intelligence Market by Application
      • 7.1.3.1.2 US Mobile Artificial Intelligence Market by Technology Node
    • 7.1.3.2 Canada Mobile Artificial Intelligence Market
      • 7.1.3.2.1 Canada Mobile Artificial Intelligence Market by Application
      • 7.1.3.2.2 Canada Mobile Artificial Intelligence Market by Technology Node
    • 7.1.3.3 Mexico Mobile Artificial Intelligence Market
      • 7.1.3.3.1 Mexico Mobile Artificial Intelligence Market by Application
      • 7.1.3.3.2 Mexico Mobile Artificial Intelligence Market by Technology Node
    • 7.1.3.4 Rest of North America Mobile Artificial Intelligence Market
      • 7.1.3.4.1 Rest of North America Mobile Artificial Intelligence Market by Application
      • 7.1.3.4.2 Rest of North America Mobile Artificial Intelligence Market by Technology Node
• 7.2 Europe Mobile Artificial Intelligence Market
  • 7.2.1 Europe Mobile Artificial Intelligence Market by Application
    • 7.2.1.1 Europe Smartphones Market by Country
    • 7.2.1.2 Europe Robotics Market by Country
    • 7.2.1.3 Europe AR/VR Market by Country
    • 7.2.1.4 Europe Cameras Market by Country
    • 7.2.1.5 Europe Drones Market by Country
    • 7.2.1.6 Europe Automobile Market by Country
    • 7.2.1.7 Europe Other Application Market by Country
  • 7.2.2 Europe Mobile Artificial Intelligence Market by Technology Node
    • 7.2.2.1 Europe 10 nm Market by Country
    • 7.2.2.2 Europe 7 nm Market by Country
    • 7.2.2.3 Europe 20-28 nm Market by Country
    • 7.2.2.4 Europe Other Technology Node(12 nm and 14 nm) Market by Country
  • 7.2.3 Europe Mobile Artificial Intelligence Market by Country
    • 7.2.3.1 Germany Mobile Artificial Intelligence Market
      • 7.2.3.1.1 Germany Mobile Artificial Intelligence Market by Application
      • 7.2.3.1.2 Germany Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.2 UK Mobile Artificial Intelligence Market
      • 7.2.3.2.1 UK Mobile Artificial Intelligence Market by Application
      • 7.2.3.2.2 UK Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.3 France Mobile Artificial Intelligence Market
      • 7.2.3.3.1 France Mobile Artificial Intelligence Market by Application
      • 7.2.3.3.2 France Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.4 Russia Mobile Artificial Intelligence Market
      • 7.2.3.4.1 Russia Mobile Artificial Intelligence Market by Application
      • 7.2.3.4.2 Russia Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.5 Spain Mobile Artificial Intelligence Market
      • 7.2.3.5.1 Spain Mobile Artificial Intelligence Market by Application
      • 7.2.3.5.2 Spain Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.6 Italy Mobile Artificial Intelligence Market
      • 7.2.3.6.1 Italy Mobile Artificial Intelligence Market by Application
      • 7.2.3.6.2 Italy Mobile Artificial Intelligence Market by Technology Node
    • 7.2.3.7 Rest of Europe Mobile Artificial Intelligence Market
      • 7.2.3.7.1 Rest of Europe Mobile Artificial Intelligence Market by Application
      • 7.2.3.7.2 Rest of Europe Mobile Artificial Intelligence Market by Technology Node
• 7.3 Asia Pacific Mobile Artificial Intelligence Market
  • 7.3.1 Asia Pacific Mobile Artificial Intelligence Market by Application
    • 7.3.1.1 Asia Pacific Smartphones Market by Country
    • 7.3.1.2 Asia Pacific Robotics Market by Country
    • 7.3.1.3 Asia Pacific AR/VR Market by Country
    • 7.3.1.4 Asia Pacific Cameras Market by Country
    • 7.3.1.5 Asia Pacific Drones Market by Country
    • 7.3.1.6 Asia Pacific Automobile Market by Country
    • 7.3.1.7 Asia Pacific Other Application Market by Country
  • 7.3.2 Asia Pacific Mobile Artificial Intelligence Market by Technology Node
    • 7.3.2.1 Asia Pacific 10 nm Market by Country
    • 7.3.2.2 Asia Pacific 7 nm Market by Country
    • 7.3.2.3 Asia Pacific 20-28 nm Market by Country
    • 7.3.2.4 Asia Pacific Other Technology Node(12 nm and 14 nm) Market by Country
  • 7.3.3 Asia Pacific Mobile Artificial Intelligence Market by Country
    • 7.3.3.1 China Mobile Artificial Intelligence Market
      • 7.3.3.1.1 China Mobile Artificial Intelligence Market by Application
      • 7.3.3.1.2 China Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.2 Japan Mobile Artificial Intelligence Market
      • 7.3.3.2.1 Japan Mobile Artificial Intelligence Market by Application
      • 7.3.3.2.2 Japan Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.3 India Mobile Artificial Intelligence Market
      • 7.3.3.3.1 India Mobile Artificial Intelligence Market by Application
      • 7.3.3.3.2 India Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.4 South Korea Mobile Artificial Intelligence Market
      • 7.3.3.4.1 South Korea Mobile Artificial Intelligence Market by Application
      • 7.3.3.4.2 South Korea Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.5 Australia Mobile Artificial Intelligence Market
      • 7.3.3.5.1 Australia Mobile Artificial Intelligence Market by Application
      • 7.3.3.5.2 Australia Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.6 Malaysia Mobile Artificial Intelligence Market
      • 7.3.3.6.1 Malaysia Mobile Artificial Intelligence Market by Application
      • 7.3.3.6.2 Malaysia Mobile Artificial Intelligence Market by Technology Node
    • 7.3.3.7 Rest of Asia Pacific Mobile Artificial Intelligence Market
      • 7.3.3.7.1 Rest of Asia Pacific Mobile Artificial Intelligence Market by Application
      • 7.3.3.7.2 Rest of Asia Pacific Mobile Artificial Intelligence Market by Technology Node
• 7.4 LAMEA Mobile Artificial Intelligence Market
  • 7.4.1 LAMEA Mobile Artificial Intelligence Market by Application
    • 7.4.1.1 LAMEA Smartphones Market by Country
    • 7.4.1.2 LAMEA Robotics Market by Country
    • 7.4.1.3 LAMEA AR/VR Market by Country
    • 7.4.1.4 LAMEA Cameras Market by Country
    • 7.4.1.5 LAMEA Drones Market by Country
    • 7.4.1.6 LAMEA Automobile Market by Country
    • 7.4.1.7 LAMEA Other Application Market by Country
  • 7.4.2 LAMEA Mobile Artificial Intelligence Market by Technology Node
    • 7.4.2.1 LAMEA 10 nm Market by Country
    • 7.4.2.2 LAMEA 7 nm Market by Country
    • 7.4.2.3 LAMEA 20-28 nm Market by Country
    • 7.4.2.4 LAMEA Other Technology Node(12 nm and 14 nm) Market by Country
  • 7.4.3 LAMEA Mobile Artificial Intelligence Market by Country
    • 7.4.3.1 Brazil Mobile Artificial Intelligence Market
      • 7.4.3.1.1 Brazil Mobile Artificial Intelligence Market by Application
      • 7.4.3.1.2 Brazil Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.2 Argentina Mobile Artificial Intelligence Market
      • 7.4.3.2.1 Argentina Mobile Artificial Intelligence Market by Application
      • 7.4.3.2.2 Argentina Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.3 UAE Mobile Artificial Intelligence Market
      • 7.4.3.3.1 UAE Mobile Artificial Intelligence Market by Application
      • 7.4.3.3.2 UAE Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.4 Saudi Arabia Mobile Artificial Intelligence Market
      • 7.4.3.4.1 Saudi Arabia Mobile Artificial Intelligence Market by Application
      • 7.4.3.4.2 Saudi Arabia Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.5 South Africa Mobile Artificial Intelligence Market
      • 7.4.3.5.1 South Africa Mobile Artificial Intelligence Market by Application
      • 7.4.3.5.2 South Africa Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.6 Nigeria Mobile Artificial Intelligence Market
      • 7.4.3.6.1 Nigeria Mobile Artificial Intelligence Market by Application
      • 7.4.3.6.2 Nigeria Mobile Artificial Intelligence Market by Technology Node
    • 7.4.3.7 Rest of LAMEA Mobile Artificial Intelligence Market
      • 7.4.3.7.1 Rest of LAMEA Mobile Artificial Intelligence Market by Application
      • 7.4.3.7.2 Rest of LAMEA Mobile Artificial Intelligence Market by Technology Node

Chapter 8. Company Profiles

• 8.1 Nokia Corporation
  • 8.1.1 Company Overview
  • 8.1.2 Financial Analysis
  • 8.1.3 Segmental and Regional Analysis
  • 8.1.4 Research & Development Expense
  • 8.1.5 Recent strategies and developments:
    • 8.1.5.1 Partnerships, Collaborations, and Agreements:
  • 8.1.6 SWOT Analysis
• 8.2 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • 8.2.1 Company Overview
  • 8.2.2 Financial Analysis
  • 8.2.3 Segmental and Regional Analysis
  • 8.2.4 Research & Development Expenses
  • 8.2.5 Recent strategies and developments:
    • 8.2.5.1 Product Launches and Product Expansions:
  • 8.2.6 SWOT Analysis
• 8.3 IBM Corporation
  • 8.3.1 Company Overview
  • 8.3.2 Financial Analysis
  • 8.3.3 Regional & Segmental Analysis
  • 8.3.4 Research & Development Expenses
  • 8.3.5 Recent strategies and developments:
    • 8.3.5.1 Partnerships, Collaborations, and Agreements:
  • 8.3.6 SWOT Analysis
• 8.4 Microsoft Corporation
  • 8.4.1 Company Overview
  • 8.4.2 Financial Analysis
  • 8.4.3 Segmental and Regional Analysis
  • 8.4.4 Research & Development Expenses
  • 8.4.5 SWOT Analysis
• 8.5 Amazon Web Services, Inc. (Amazon.com, Inc.)
  • 8.5.1 Company Overview
  • 8.5.2 Financial Analysis
  • 8.5.3 Segmental Analysis
  • 8.5.4 SWOT Analysis
• 8.6 Intel Corporation
  • 8.6.1 Company Overview
  • 8.6.2 Financial Analysis
  • 8.6.3 Segmental and Regional Analysis
  • 8.6.4 Research & Development Expenses
  • 8.6.5 SWOT Analysis
• 8.7 Qualcomm Incorporated (Qualcomm Technologies, Inc.)
  • 8.7.1 Company Overview
  • 8.7.2 Financial Analysis
  • 8.7.3 Segmental and Regional Analysis
  • 8.7.4 Research & Development Expense
  • 8.7.5 SWOT Analysis
• 8.8 NVIDIA Corporation
  • 8.8.1 Company Overview
  • 8.8.2 Financial Analysis
  • 8.8.3 Segmental and Regional Analysis
  • 8.8.4 Research & Development Expenses
  • 8.8.5 Recent strategies and developments:
    • 8.8.5.1 Partnerships, Collaborations, and Agreements:
    • 8.8.5.2 Product Launches and Product Expansions:
  • 8.8.6 SWOT Analysis
• 8.9 Apple, Inc.
  • 8.9.1 Company Overview
  • 8.9.2 Financial Analysis
  • 8.9.3 Regional Analysis
  • 8.9.4 Research & Development Expense
  • 8.9.5 Recent strategies and developments:
    • 8.9.5.1 Product Launches and Product Expansions:
  • 8.9.6 SWOT Analysis
• 8.10. Google LLC (Alphabet Inc.)
  • 8.10.1 Company Overview
  • 8.10.2 Financial Analysis
  • 8.10.3 Segmental and Regional Analysis
  • 8.10.4 Research & Development Expense
  • 8.10.5 Recent strategies and developments:
    • 8.10.5.1 Product Launches and Product Expansions:
  • 8.10.6 SWOT Analysis

Chapter 9. Winning Imperatives of Mobile Artificial Intelligence Market