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

Description

List of Tables

[186 Pages Report] The Mobile Artificial Intelligence Market size was estimated at USD 17.46 billion in 2023 and expected to reach USD 21.41 billion in 2024, at a CAGR 24.61% to reach USD 81.51 billion by 2030.

Mobile artificial intelligence (AI) refers to deploying advanced AI algorithms and models on mobile devices, enabling these devices to learn from data, make predictions, and make autonomous decisions in real-time. This transformative technology enhances user experiences through personalized content, improved device performance, and novel applications such as real-time language translation and image recognition. The proliferation of mobile AI is primarily fueled by the exponential increase in mobile computing power, advancements in AI and machine learning technologies, and the escalating demand for smarter, context-aware mobile applications. The increasing popularity of home automation devices is also expanding the use of mobile AI. Irrespective of its benefits, mobile AI faces challenges, including privacy concerns, limited processing capabilities compared to cloud-based systems, and high energy consumption impacting device battery life. Addressing these issues involves optimizing AI algorithms for mobile platforms, ensuring strict data security and privacy measures, and developing energy-efficient AI models. The advancements in mobile AI technologies and their exponential use in automotive and wearable devices are expected to create immense opportunities for commercialization. Partnerships between mobile AI providers and mobile device companies across industries are accelerating the development of improved mobile AI versions.

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%

Regional Insights

The Americas stands as a major region in the innovation and application of mobile AI, fostered by pioneering tech companies and startups. This region benefits from significant R&D investments and a robust ecosystem supporting AI startups, which propels its dominance in AI application development and deployment in mobile technologies. The APAC region, led by countries such as China and South Korea, showcases rapid adoption rates coupled with substantial government backing in AI technologies, making it a considerable force in the production and use of mobile AI. The focus in APAC is more on the integration of AI in consumer electronics and mobile services. APAC also observes the rise of small-scale startups in AI backed by angel investors, particularly in the healthcare and retail sectors. With AR & VR technologies gaining popularity in the region's gaming sector, the adoption of mobile AI is expected to rise further. EMEA, with its diverse landscape, navigates through a more regulated environment, particularly in the EU, which impacts the pace of AI integration into mobile technology. This region excels in research and the formulation of ethical AI guidelines, presenting a balanced approach between innovation and regulation. Companies in EMEA heavily invest in adopting AI to enhance user privacy and data security in mobile applications, aligning with the stringent GDPR standards.

Market Insights

Market Dynamics

The market dynamics represent an ever-changing landscape of the Mobile Artificial Intelligence Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.

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

Market Segmentation Analysis
- Technology Node: Adoption of 7nm process for best performance and efficiency
- Functionalities: Rising utility of image recognition technology across industries
- Device Type: Integration of AI in flagship smartphone models for AI to optimize performance and user experiences
- Application: Rise of AI-based camera models to offer high-quality visual content for social media and professional photography
- Industry: Popularity of mobile AI in the retail sector for user engagement and purchase personalization

Market Disruption Analysis
Porter's Five Forces Analysis
Value Chain & Critical Path Analysis
Pricing Analysis
Technology Analysis
Patent Analysis
Trade Analysis
Regulatory Framework Analysis

FPNV Positioning Matrix

The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Mobile Artificial Intelligence Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Mobile Artificial Intelligence Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Recent Developments

Apple Ramps up Generative AI Efforts for iPhones Ahead of iOS 18

Apple's unveiled mobile artificial intelligence (AI) updates for iOS 18, pivoting towards on-device generative AI capabilities, such as an enhanced Siri powered by a large language model. This development aims to position Apple on par with its competitors' voice assistants. Furthermore, Apple's recent hardware advancements, demonstrated by introducing the M3 Max and A17 Bionic chips, underscore the company's readiness for complex AI operations. [Published On: 2024-01-25]

Google's Gemini Pro and Imagen 2 to deploy in producing new text, voice, and image features on the new Samsung Galaxy S24 series

Samsung Electronics and Google Cloud have forged an innovative multi-year alliance to integrate Google Cloud's advanced generative artificial intelligence (AI) technologies into Samsung smartphones worldwide. Samsung and Google partnered to enhance technological accessibility and utility for all. This partnership leverages Gemini Pro's multimodal capabilities on Vertex AI, offering Samsung users a premier AI experience. [Published On: 2024-01-18]

Intel Unveils new AI-Centric Core Ultra Mobile Processors

Intel unveiled its Core Ultra mobile processors during the AI Everywhere event, marking a significant development in mobile artificial intelligence. These cutting-edge processors are available worldwide and have been embraced by the industry, with over 230 AI-equipped PCs already utilizing this technology. This AI PC represents a new generation of personal computers designed to meet the demand for more performance and battery life. [Published On: 2023-12-14]

Strategy Analysis & Recommendation

The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Mobile Artificial Intelligence Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.

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:

Technology Node
- 10nm
- 20-28nm
- 7nm

Functionalities
- Image Recognition
- Intelligent Virtual Assistants
- Predictive Text
- Voice Recognition

Device Type
- Automotive
- Cameras
- Drones
- Healthcare Devices
- Home Automation Devices
- Smart Glasses
- Smartphones
- Tablets & Personal Computers
- Wearable Devices

Application
- Camera & Image Processing
- E-commerce & Retail
- Gaming
- Health & Fitness
- Language Translation & Learning
- Personal Assistants & Chatbots
- Security & Authentication

Industry
- Agriculture
- Education
- Entertainment
- Finance
- Healthcare
- Manufacturing
- Mobility & Transportation
- Retail

Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam

Europe, Middle East & Africa
- Denmark
- Egypt
- Finland
- France
- Germany
- Israel
- Italy
- Netherlands
- Nigeria
- Norway
- Poland
- Qatar
- Russia
- Saudi Arabia
- South Africa
- Spain
- Sweden
- Switzerland
- Turkey
- United Arab Emirates
- United Kingdom

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. Market Trend Analysis
- 5.3.1. Expanding number of smartphone users, well-established healthcare and gaming industries, and strong foothold of major companies in the Americas region
- 5.3.2. Significant expansion of the automotive industry to drive the demand for mobile AI in the APAC region
- 5.3.3. Robust regulatory frameworks for data privacy and the emergence of AI-driven digital services for the telehealth in EMEA
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework Analysis

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

15. Competitive Portfolio

15.1. Key Company Profiles
15.2. Key Product Portfolio