Global Mobile Artificial Intelligence (AI) Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2024 to 2032

Description

List of Tables

The global demand for Mobile Artificial Intelligence (AI) Market is presumed to reach the market size of nearly USD 192.83 Billion by 2032 from USD 19.78 Billion in 2023 with a CAGR of 28.79% under the study period 2024-2032.

Mobile artificial intelligence (AI) refers to integrating AI capabilities and algorithms into mobile devices such as smartphones, tablets, wearables, and IoT devices to enable intelligent and context-aware applications and services on the go. Mobile AI leverages mobile devices' computational power, sensors, connectivity, and user interface to perform advanced AI tasks, including natural language processing, voice recognition, predictive analytics, image recognition, and machine learning locally on the device or in the cloud. Mobile AI enables many intelligent features and applications, including virtual assistants, personalized recommendations, augmented reality, autonomous navigation, smart cameras, and health monitoring, enhancing user experience, productivity, and efficiency.

MARKET DYNAMICS

The mobile artificial intelligence (AI) market is witnessing rapid growth driven by several key factors reshaping the mobile technology landscape and driving demand for intelligent, data-driven applications and services. Firstly, the proliferation of smartphones and mobile devices with increasingly powerful processors, high-speed connectivity, and advanced sensors enables on-device AI processing and inference, bringing AI capabilities directly to users' fingertips. Mobile AI empowers users to access personalized recommendations, predictive insights, and contextual experiences across various applications, including virtual assistants, image recognition, natural language processing, and predictive analytics. Moreover, the growing demand for personalized user experiences, proactive assistance, and seamless integration across devices and platforms drives investments in mobile artificial intelligence (AI) that enable intelligent automation, contextual awareness, and anticipatory computing. Additionally, the rise of edge computing architectures and federated learning approaches enables distributed AI processing and collaborative learning across networks of mobile devices, enabling privacy-preserving AI applications and real-time insights without reliance on centralized cloud infrastructure. Furthermore, advancements in AI algorithms, deep learning models, and neural network architectures improve mobile AI performance, efficiency, and accuracy, enabling new use cases and applications with demanding computational requirements, such as augmented reality (AR), autonomous driving, and smart robotics. Moreover, the rising emphasis on data privacy, security, and ethical AI principles drives investments in mobile AI solutions that prioritize user control, transparency, and fairness in data collection, processing, and decision-making. Furthermore, regulatory initiatives and industry standards for AI ethics, transparency, and accountability drive responsible AI development practices and foster trust and confidence among users and stakeholders. However, shifts in mobile computing trends and competition from established players may challenge the mobile artificial intelligence (AI) market growth in the coming years.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of Mobile Artificial Intelligence (AI). The growth and trends of Mobile Artificial Intelligence (AI) industry provide a holistic approach to this study.

MARKET SEGMENTATION

This section of the Mobile Artificial Intelligence (AI) market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Technology Node

5nm-10nm
11nm-20nm
Above 20nm

By Application

Cameras
Smartphones
Vehicles
Robots
AR/VR Devices
Others

By End-Use Industry

Consumer Electronics
Automotive
Robotics
Others

REGIONAL ANALYSIS

This section covers the regional outlook, which accentuates current and future demand for the Mobile Artificial Intelligence (AI) market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the Mobile Artificial Intelligence (AI) market include Safari Tent, Lotus Belle Tents, Feather Down Farms, Eco Structures, Stout Tent, Under Canvas, The Glam Camping Company, Glampotel, Whitepod, Tentsile, Pacific Domes, Luxury Frontiers, Terra Glamping, Glitzcamp, Barebones Living. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR112114507

1. PREFACE

1.1. Report Description
- 1.1.1 Objective
- 1.1.2 Target Audience
- 1.1.3 Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1 Market Research Process
- 1.3.2 Market Research Methodology

2. EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3. MOBILE ARTIFICIAL INTELLIGENCE (AI) - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Technology Node
- 3.7.2 Market Attractiveness Analysis By Application
- 3.7.3 Market Attractiveness Analysis By End-Use Industry
- 3.7.4 Market Attractiveness Analysis By Region

4. VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1 List of Raw Materials
- 4.2.2 Raw Material Manufactures List
- 4.2.3 Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1 Direct Marketing
- 4.4.2 Indirect Marketing
- 4.4.3 Marketing Channel Development Trend

5. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY TECHNOLOGY NODE

5.1. Overview By Technology Node
5.2. Historical and Forecast Data
5.3. Analysis By Technology Node
5.4. 5nm-10nm Historic and Forecast Sales By Regions
5.5. 11nm-20nm Historic and Forecast Sales By Regions
5.6. Above 20nm Historic and Forecast Sales By Regions

6. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY APPLICATION

6.1. Overview By Application
6.2. Historical and Forecast Data
6.3. Analysis By Application
6.4. Cameras Historic and Forecast Sales By Regions
6.5. Smartphones Historic and Forecast Sales By Regions
6.6. Vehicles Historic and Forecast Sales By Regions
6.7. Robots Historic and Forecast Sales By Regions
6.8. AR/VR Devices Historic and Forecast Sales By Regions
6.9. Others Historic and Forecast Sales By Regions

7. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY END-USE INDUSTRY

7.1. Overview By End-Use Industry
7.2. Historical and Forecast Data
7.3. Analysis By End-Use Industry
7.4. Consumer Electronics Historic and Forecast Sales By Regions
7.5. Automotive Historic and Forecast Sales By Regions
7.6. Robotics Historic and Forecast Sales By Regions
7.7. Others Historic and Forecast Sales By Regions

8. GLOBAL MOBILE ARTIFICIAL INTELLIGENCE (AI) MARKET ANALYSIS BY GEOGRAPHY

8.1. Regional Outlook
8.2. Introduction
8.3. North America Sales Analysis
- 8.3.1 Overview, Historic and Forecast Data Sales Analysis
- 8.3.2 North America By Segment Sales Analysis
- 8.3.3 North America By Country Sales Analysis
- 8.3.4 United States Sales Analysis
- 8.3.5 Canada Sales Analysis
- 8.3.6 Mexico Sales Analysis
8.4. Europe Sales Analysis
- 8.4.1 Overview, Historic and Forecast Data Sales Analysis
- 8.4.2 Europe By Segment Sales Analysis
- 8.4.3 Europe By Country Sales Analysis
- 8.4.4 United Kingdom Sales Analysis
- 8.4.5 France Sales Analysis
- 8.4.6 Germany Sales Analysis
- 8.4.7 Italy Sales Analysis
- 8.4.8 Russia Sales Analysis
- 8.4.9 Rest Of Europe Sales Analysis
8.5. Asia Pacific Sales Analysis
- 8.5.1 Overview, Historic and Forecast Data Sales Analysis
- 8.5.2 Asia Pacific By Segment Sales Analysis
- 8.5.3 Asia Pacific By Country Sales Analysis
- 8.5.4 China Sales Analysis
- 8.5.5 India Sales Analysis
- 8.5.6 Japan Sales Analysis
- 8.5.7 South Korea Sales Analysis
- 8.5.8 Australia Sales Analysis
- 8.5.9 South East Asia Sales Analysis
- 8.5.10 Rest Of Asia Pacific Sales Analysis
8.6. Latin America Sales Analysis
- 8.6.1 Overview, Historic and Forecast Data Sales Analysis
- 8.6.2 Latin America By Segment Sales Analysis
- 8.6.3 Latin America By Country Sales Analysis
- 8.6.4 Brazil Sales Analysis
- 8.6.5 Argentina Sales Analysis
- 8.6.6 Peru Sales Analysis
- 8.6.7 Chile Sales Analysis
- 8.6.8 Rest of Latin America Sales Analysis
8.7. Middle East & Africa Sales Analysis
- 8.7.1 Overview, Historic and Forecast Data Sales Analysis
- 8.7.2 Middle East & Africa By Segment Sales Analysis
- 8.7.3 Middle East & Africa By Country Sales Analysis
- 8.7.4 Saudi Arabia Sales Analysis
- 8.7.5 UAE Sales Analysis
- 8.7.6 Israel Sales Analysis
- 8.7.7 South Africa Sales Analysis
- 8.7.8 Rest Of Middle East And Africa Sales Analysis

9. COMPETITIVE LANDSCAPE OF THE MOBILE ARTIFICIAL INTELLIGENCE (AI) COMPANIES

9.1. Mobile Artificial Intelligence (AI) Market Competition
9.2. Partnership/Collaboration/Agreement
9.3. Merger And Acquisitions
9.4. New Product Launch
9.5. Other Developments

10. COMPANY PROFILES OF MOBILE ARTIFICIAL INTELLIGENCE (AI) INDUSTRY

10.1. Top Companies Market Share Analysis
10.2. Market Concentration Rate
10.3. Safari Tent
- 10.3.1 Company Overview
- 10.3.2 Company Revenue
- 10.3.3 Products
- 10.3.4 Recent Developments
10.4. Lotus Belle Tents
- 10.4.1 Company Overview
- 10.4.2 Company Revenue
- 10.4.3 Products
- 10.4.4 Recent Developments
10.5. Feather Down Farms
- 10.5.1 Company Overview
- 10.5.2 Company Revenue
- 10.5.3 Products
- 10.5.4 Recent Developments
10.6. Eco Structures
- 10.6.1 Company Overview
- 10.6.2 Company Revenue
- 10.6.3 Products
- 10.6.4 Recent Developments
10.7. Stout Tent
- 10.7.1 Company Overview
- 10.7.2 Company Revenue
- 10.7.3 Products
- 10.7.4 Recent Developments
10.8. Under Canvas
- 10.8.1 Company Overview
- 10.8.2 Company Revenue
- 10.8.3 Products
- 10.8.4 Recent Developments
10.9. The Glam Camping Company
- 10.9.1 Company Overview
- 10.9.2 Company Revenue
- 10.9.3 Products
- 10.9.4 Recent Developments
10.10. Glampotel
- 10.10.1 Company Overview
- 10.10.2 Company Revenue
- 10.10.3 Products
- 10.10.4 Recent Developments
10.11. Whitepod
- 10.11.1 Company Overview
- 10.11.2 Company Revenue
- 10.11.3 Products
- 10.11.4 Recent Developments
10.12. Tentsile
- 10.12.1 Company Overview
- 10.12.2 Company Revenue
- 10.12.3 Products
- 10.12.4 Recent Developments
10.13. Pacific Domes
- 10.13.1 Company Overview
- 10.13.2 Company Revenue
- 10.13.3 Products
- 10.13.4 Recent Developments
10.14. Luxury Frontiers
- 10.14.1 Company Overview
- 10.14.2 Company Revenue
- 10.14.3 Products
- 10.14.4 Recent Developments
10.15. Terra Glamping
- 10.15.1 Company Overview
- 10.15.2 Company Revenue
- 10.15.3 Products
- 10.15.4 Recent Developments
10.16. Glitzcamp
- 10.16.1 Company Overview
- 10.16.2 Company Revenue
- 10.16.3 Products
- 10.16.4 Recent Developments
10.17. Barebones Living
- 10.17.1 Company Overview
- 10.17.2 Company Revenue
- 10.17.3 Products
- 10.17.4 Recent Developments

Note - In company profiling, financial details and recent developments are subject to availability or might not be covered in the case of private companies