세계의 모바일 인공지능 시장(2024-2031년)

Mobile Artificial Intelligence Market Size, Share & Trends Analysis Report by Application (Smartphone, Camera, Drone, Robotics, Automotive, and Others), by Component (Hardware, Software, and Services), and by End-User (Machine Learning (ML), Deep Learning, Natural Language Processing (NLP), Augmented Reality (AR) and Virtual Reality (VR), and Others) Forecast Period (2024-2031)

Mobile artificial intelligence (AI) market is anticipated to grow at a CAGR of 26.9% during the forecast period (2024-2031). AI technology, including machine learning and deep learning, has revolutionized mobile applications. Edge AI reduces latency and privacy, while enhanced hardware enhances performance. Personalization and biometric authentication enhance security. 5G technology enables faster connectivity and IoT integration. AI-powered applications include health tracking, photography, and gaming. Collaborations drive innovation and market growth.

Market Dynamics

Widespread adoption of Smartphones

The global smartphone adoption rate is a key driver of mobile AI, driving the demand for advanced features and functionalities relying on AI. According to the GSM Association, in October 2023, approximately 54.0% of the global population, which is about 4.3 billion individuals, own smartphones. These smartphone owners tend to be more aware of and utilize mobile internet services, using their smartphones for a wide range of tasks. Additionally, out of the 4.6 billion individuals using mobile internet, nearly 4.0 billion do so through smartphones, accounting for roughly 49.0% of the globe's population, while 600 million individuals, or 8.0% of the global population, access the internet using feature phones.

Advancements in AI and Machine Learning

AI and machine learning advancements have led to the development of more sophisticated and efficient applications on mobile devices through continuous improvements in algorithms. For instance, in November 2023, Vivo launched its first "AI smartphone" - the X100, featuring on-device generative artificial intelligence capabilities. The Chinese telecom giant unveiled its AI sub-brands, including AI chip, battery, large language model (LLM), and image chip. The X100 and X100 Pro models offer ChatGPT-such as, services, including smart assistant and generative content production.

Market Segmentation

• Based on application, the market is segmented into smartphone, camera, drone, robotics, automotive, and others (personalized recommendations, and security and fraud detection).
• Based on components, the market is segmented into hardware, software, and services.
• Based on technology, the market is segmented into machine learning (ML), deep learning, natural language processing (NLP), augmented reality (AR) and virtual reality (VR), and others (computer vision, and edge AI).

The smartphone is Projected to Emerge as the Largest Segment

AI has been implemented constantly into smartphone functions to improve productivity and user experience, which can boost the usage of smartphones. For instance, in June 2024, Carl Pei confirmed the Nothing Phone 3 will be launched in 2025, featuring AI. The company emphasized that smartphones will become the future's AI gadgets, with AI-driven responses tailored to individual user needs. The new home screen interface features multiple widget-like boxes.

Regional Outlook

The global mobile AI market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia-Pacific), and the Rest of the World (the Middle East & Africa, and Latin America).

Consumer Demand For Innovation In Asia-Pacific Region

The rise in consumer demand for innovative technology, including foldable designs and AI enhancements, drives manufacturers to develop and launch advanced smartphones in India. For instance, in June 2024, Vivo launched its first foldable smartphone in India, the Vivo X Fold 3 Pro. It features a Qualcomm Snapdragon 8 Gen 3 processor, integrated artificial intelligence from Google's Gemini AI models, and a camera system co-created with German optics brand Zeiss. The smartphone has a 50MP primary camera and a 64MP Zeiss telephoto camera.

North America Holds Major Market Share

North America experiences a significant increase in 5G network deployment, bolstering the advanced capabilities needed for mobile AI applications. According to the 5G Americas, in March 2024, North America witnessed significant progress in the adoption of 5G technology, with its network recording a remarkable growth rate of 64.0% in 5G connections. This resulted in the addition of 77 million new connections, bringing the total number of North American 5G connections to 197 million by the end of 2023, representing 29.0% of all connections in the region. The high implementation of 5G technology offers significant growth potential to the regional mobile AI market.

Market Players Outlook

The major companies serving the mobile AI market include Apple Inc., Google LLC, IBM Corp., Samsung Electronics Co., Ltd., and Sony Corp. among others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers and acquisitions to stay competitive in the market. For instance, in March 2024, Sensor Tower acquired Data.ai to form a powerful marketing intelligence solution, enabling businesses to track key metrics for mobile apps, including download estimates and user engagement.

Table of Contents

1. Report Summary

• Current Industry Analysis and Growth Potential Outlook
• 1.1. Research Methods and Tools
• 1.2. Market Breakdown
  • 1.2.1. By Segments
  • 1.2.2. By Region

2. Market Overview and Insights

• 2.1. Scope of the Report
• 2.2. Analyst Insight & Current Market Trends
  • 2.2.1. Key Market Trends
  • 2.2.2. Recommendations
  • 2.2.3. Conclusion

3. Competitive Landscape

• 3.1. Key Company Analysis
• 3.2. Apple Inc.
  • 3.2.1. Overview
  • 3.2.2. Financial Analysis
  • 3.2.3. SWOT Analysis
  • 3.2.4. Recent Developments
• 3.3. Google LLC
  • 3.3.1. Overview
  • 3.3.2. Financial Analysis
  • 3.3.3. SWOT Analysis
  • 3.3.4. Recent Developments
• 3.4. IBM Corp.
  • 3.4.1. Overview
  • 3.4.2. Financial Analysis
  • 3.4.3. SWOT Analysis
  • 3.4.4. Recent Developments
• 3.5. Key Strategy Analysis

4. Market Segmentation

• 4.1. Global Mobile Artificial Intelligence Market by Application
  • 4.1.1. Smartphone
  • 4.1.2. Camera
  • 4.1.3. Drone
  • 4.1.4. Robotics
  • 4.1.5. Automotive
  • 4.1.6. Others (Personalized Recommendations, and Security and Fraud Detection)
• 4.2. Global Mobile Artificial Intelligence Market by Component
  • 4.2.1. Hardware
  • 4.2.2. Software
  • 4.2.3. Services
• 4.3. Global Mobile Artificial Intelligence Market by Technology
  • 4.3.1. Machine Learning (ML)
  • 4.3.2. Deep Learning
  • 4.3.3. Natural Language Processing (NLP)
  • 4.3.4. Augmented Reality (AR) and Virtual Reality (VR)
  • 4.3.5. Others (Computer Vision, and Edge AI)

5. Regional Analysis

• 5.1. North America
  • 5.1.1. United States
  • 5.1.2. Canada
• 5.2. Europe
  • 5.2.1. UK
  • 5.2.2. Germany
  • 5.2.3. Italy
  • 5.2.4. Spain
  • 5.2.5. France
  • 5.2.6. Rest of Europe
• 5.3. Asia-Pacific
  • 5.3.1. China
  • 5.3.2. India
  • 5.3.3. Japan
  • 5.3.4. South Korea
  • 5.3.5. Rest of Asia-Pacific
• 5.4. Rest of the World
  • 5.4.1. Latin America
  • 5.4.2. Middle East and Africa

6. Company Profiles

• 6.1. Alphabet Inc.
• 6.2. Cerebras Systems Inc.
• 6.3. Graphcore Ltd.
• 6.4. Huawei Technologies Co. Ltd
• 6.5. Intel Corp.
• 6.6. Kneron, Inc.
• 6.7. MediaTek Inc.
• 6.8. Microsoft Corp.
• 6.9. NVIDIA Corp.
• 6.10. Oracle Corp.
• 6.11. Qualcomm Technologies, Inc.
• 6.12. Rockchip Electronics Co., Ltd.
• 6.13. SambaNova Systems, Inc.
• 6.14. Samsung Electronics Co., Ltd.
• 6.15. SAP SE
• 6.16. Sony Corp.
• 6.17. Xiaomi Singapore Pte. Ltd.