Mobile Artificial Intelligence Market by Technology Node (10nm, 20-28nm, 7nm), Functionalities, Device Type, Application, Industry

Description

List of Tables

The Mobile Artificial Intelligence Market was valued at USD 17.46 billion in 2023, expected to reach USD 21.41 billion in 2024, and is projected to grow at a CAGR of 24.61%, to USD 81.51 billion by 2030.

Mobile Artificial Intelligence (AI) refers to the integration of AI capabilities into mobile devices, enabling applications that range from enhanced user experiences and voice assistants to advanced image recognition and real-time data processing. The necessity of mobile AI emerges from the growing demand for smarter, more efficient, and responsive mobile applications that offer personalized services and improve device functionalities. Applications span across industries such as healthcare for telemedicine and patient monitoring, finance for mobile banking and fraud detection, and retail for personalized shopping experiences. The end-use scope includes smartphones, tablets, drones, and IoT devices, where AI can optimize performance and provide new functionalities.

KEY MARKET STATISTICS
Base Year [2023]	USD 17.46 billion
Estimated Year [2024]	USD 21.41 billion
Forecast Year [2030]	USD 81.51 billion
CAGR (%)	24.61%

Key growth factors include the proliferation of 5G networks facilitating real-time AI processing on mobile devices, advancements in AI algorithms, and increased demand for edge computing. Opportunities lie in exploiting these advances to develop AI-driven applications for burgeoning sectors like autonomous vehicles and augmented reality. Companies should focus on partnerships with telecommunication firms to leverage 5G capabilities and invest in research for energy-efficient AI models suited for battery-dependent mobile devices.

However, market growth may be impeded by challenges such as data privacy concerns, ethical considerations around AI decision-making, and hardware limitations affecting processing speed and storage capacity. Innovations are ripe in developing compact and energy-efficient AI chips, enhancing AI model training methods, and ensuring robust data privacy protocols. The mobile AI market is inherently dynamic, characterized by rapid technological evolution and intense competition, demanding businesses to consistently innovate and adapt to maintain a competitive edge. To harness growth, firms should invest in continuous R&D, forge strategic partnerships and alliances, and remain agile to respond to emerging trends and consumer demands. An essential focus should be on creating adaptable, secure, and scalable AI-driven mobile solutions that align with global tech trends and socio-economic factors to maximize potential and drive long-term growth.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Mobile Artificial Intelligence Market

The Mobile Artificial Intelligence Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

Market Drivers
- Exponential adoption of smartphones with innovative and smart features
- Rising deployment of mobile AI in home automation devices
- Growing demand for intelligent virtual assistant technologies
Market Restraints
- Complex integration and emplacement of AI technology in mobile devices
Market Opportunities
- Ongoing research and development for the advancement of mobile AI
- Emerging incorporation of mobile AI in wearables and automotive applications
Market Challenges
- Concerns associated with privacy and data security breaches

Porter's Five Forces: A Strategic Tool for Navigating the Mobile Artificial Intelligence Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Mobile Artificial Intelligence Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Mobile Artificial Intelligence Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Mobile Artificial Intelligence Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Mobile Artificial Intelligence Market

A detailed market share analysis in the Mobile Artificial Intelligence Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Mobile Artificial Intelligence Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Mobile Artificial Intelligence Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Key Company Profiles

The report delves into recent significant developments in the Mobile Artificial Intelligence Market, highlighting leading vendors and their innovative profiles. These include Advanced Micro Devices, Inc., AIMobile Co., Ltd., AIStorm Inc., Apple Inc., AT&T Inc., Blaize, Inc., Cerebras Systems Inc., DataRobot, Inc., Google LLC by Alphabet Inc., Graphcore Ltd., Huawei Technologies Co., Ltd., Imagination Technologies Ltd., Intel Corporation, International Business Machines Corporation, Kneron, Inc., MediaTek Inc., Meta Platforms, Inc., Microsoft Corporation, Nvidia Corporation, Passio, Inc., Qualcomm Incorporated, rabbitAI GmbH, Rockchip Electronics Co., Ltd., SambaNova Systems, Inc., Samsung Electronics Co., Ltd., Shanghai Thinkforce Electronic Technology Co., Ltd., Turing Video, and Zhongke Cambrian Technology Co., Ltd..

Market Segmentation & Coverage

This research report categorizes the Mobile Artificial Intelligence Market to forecast the revenues and analyze trends in each of the following sub-markets:

Based on Technology Node, market is studied across 10nm, 20-28nm, and 7nm.
Based on Functionalities, market is studied across Image Recognition, Intelligent Virtual Assistants, Predictive Text, and Voice Recognition.
Based on Device Type, market is studied across Automotive, Cameras, Drones, Healthcare Devices, Home Automation Devices, Smart Glasses, Smartphones, Tablets & Personal Computers, and Wearable Devices.
Based on Application, market is studied across Camera & Image Processing, E-commerce & Retail, Gaming, Health & Fitness, Language Translation & Learning, Personal Assistants & Chatbots, and Security & Authentication.
Based on Industry, market is studied across Agriculture, Education, Entertainment, Finance, Healthcare, Manufacturing, Mobility & Transportation, and Retail.
Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Product Code: MRR-4659C87120FA

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Exponential adoption of smartphones with innovative and smart features
  - 5.1.1.2. Rising deployment of mobile AI in home automation devices
  - 5.1.1.3. Growing demand for intelligent virtual assistant technologies
- 5.1.2. Restraints
  - 5.1.2.1. Complex integration and emplacement of AI technology in mobile devices
- 5.1.3. Opportunities
  - 5.1.3.1. Ongoing research and development for the advancement of mobile AI
  - 5.1.3.2. Emerging incorporation of mobile AI in wearables and automotive applications
- 5.1.4. Challenges
  - 5.1.4.1. Concerns associated with privacy and data security breaches
5.2. Market Segmentation Analysis
- 5.2.1. Technology Node: Adoption of 7nm process for best performance and efficiency
- 5.2.2. Functionalities: Rising utility of image recognition technology across industries
- 5.2.3. Device Type: Integration of AI in flagship smartphone models for AI to optimize performance and user experiences
- 5.2.4. Application: Rise of AI-based camera models to offer high-quality visual content for social media and professional photography
- 5.2.5. Industry: Popularity of mobile AI in the retail sector for user engagement and purchase personalization
5.3. Porter's Five Forces Analysis
- 5.3.1. Threat of New Entrants
- 5.3.2. Threat of Substitutes
- 5.3.3. Bargaining Power of Customers
- 5.3.4. Bargaining Power of Suppliers
- 5.3.5. Industry Rivalry
5.4. PESTLE Analysis
- 5.4.1. Political
- 5.4.2. Economic
- 5.4.3. Social
- 5.4.4. Technological
- 5.4.5. Legal
- 5.4.6. Environmental

6. Mobile Artificial Intelligence Market, by Technology Node

6.1. Introduction
6.2. 10nm
6.3. 20-28nm
6.4. 7nm

7. Mobile Artificial Intelligence Market, by Functionalities

7.1. Introduction
7.2. Image Recognition
7.3. Intelligent Virtual Assistants
7.4. Predictive Text
7.5. Voice Recognition

8. Mobile Artificial Intelligence Market, by Device Type

8.1. Introduction
8.2. Automotive
8.3. Cameras
8.4. Drones
8.5. Healthcare Devices
8.6. Home Automation Devices
8.7. Smart Glasses
8.8. Smartphones
8.9. Tablets & Personal Computers
8.10. Wearable Devices

9. Mobile Artificial Intelligence Market, by Application

9.1. Introduction
9.2. Camera & Image Processing
9.3. E-commerce & Retail
9.4. Gaming
9.5. Health & Fitness
9.6. Language Translation & Learning
9.7. Personal Assistants & Chatbots
9.8. Security & Authentication

10. Mobile Artificial Intelligence Market, by Industry

10.1. Introduction
10.2. Agriculture
10.3. Education
10.4. Entertainment
10.5. Finance
10.6. Healthcare
10.7. Manufacturing
10.8. Mobility & Transportation
10.9. Retail

11. Americas Mobile Artificial Intelligence Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific Mobile Artificial Intelligence Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa Mobile Artificial Intelligence Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. Market Share Analysis, 2023
14.2. FPNV Positioning Matrix, 2023
14.3. Competitive Scenario Analysis
- 14.3.1. Apple Ramps up Generative AI Efforts for iPhones Ahead of iOS 18
- 14.3.2. Google's Gemini Pro and Imagen 2 to deploy in producing new text, voice, and image features on the new Samsung Galaxy S24 series
- 14.3.3. Intel Unveils new AI-Centric Core Ultra Mobile Processors
- 14.3.4. Google in Talks to Invest in AI Startup Character.AI
- 14.3.5. Humane Launches Ai Pin - Marking A New Beginning for Personal AI Devices
- 14.3.6. NSF Announces USD 16M to Strengthen and Diversify Artificial Intelligence Research Capacity
- 14.3.7. Micron Collaborates with Qualcomm to Accelerate Generative AI at the Edge for Flagship Smartphones
- 14.3.8. Levelpath Secures USD 44.5 Million in Funding for AI-Powered Procurement Platform
- 14.3.9. Google's New Virtual Assistant to Include Bard Al Tools
- 14.3.10. Google launches Pixel 8, smartwatch with new AI feature
- 14.3.11. GenAI Announces Acquisition Of Speakgpt, An Ai-Powered Virtual Assistant
- 14.3.12. Zoom Announces AI-Based Collaboration Smart Companion

Companies Mentioned

1. Advanced Micro Devices, Inc.
2. AIMobile Co., Ltd.
3. AIStorm Inc.
4. Apple Inc.
5. AT&T Inc.
6. Blaize, Inc.
7. Cerebras Systems Inc.
8. DataRobot, Inc.
9. Google LLC by Alphabet Inc.
10. Graphcore Ltd.
11. Huawei Technologies Co., Ltd.
12. Imagination Technologies Ltd.
13. Intel Corporation
14. International Business Machines Corporation
15. Kneron, Inc.
16. MediaTek Inc.
17. Meta Platforms, Inc.
18. Microsoft Corporation
19. Nvidia Corporation
20. Passio, Inc.
21. Qualcomm Incorporated
22. rabbitAI GmbH
23. Rockchip Electronics Co., Ltd.
24. SambaNova Systems, Inc.
25. Samsung Electronics Co., Ltd.
26. Shanghai Thinkforce Electronic Technology Co., Ltd.
27. Turing Video
28. Zhongke Cambrian Technology Co., Ltd.