Mobile Artificial Intelligence Market Size, Type Analysis, Application Analysis, End-Use, Industry Analysis, Regional Outlook, Competitive Strategies And Forecasts, 2023-2032

  • Report ID: ME_00125349
  • Format: Electronic (PDF)
  • Publish Type: Publish
  • Number of Pages: 250
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Market Snapshot

CAGR:6.9
2023
2032

Source: Market Expertz

RND-Favicon
Study Period 2019-2032
Base Year 2023
Forcast Year 2023-2032
CAGR 6.9
Information & Technology-companies
Information & Technology-Snapshot

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Report Overview


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The Mobile Artificial Intelligence (AI) Market is projected to grow at a CAGR of 12.76% between 2022 and 2032, with an anticipated increase of USD 19,643.89 million during the forecast period. This growth is driven by the increasing integration of AI technologies into mobile devices, enabling enhanced user experiences, intelligent assistants, and personalized services.

Mobile Artificial Intelligence Market Overview:

Drivers:

The demand for voice recognition, image processing, and predictive analytics on mobile devices are major drivers for the Mobile AI market. AI-powered features enhance smartphone functionality and user engagement.

Trends:

The integration of edge AI in mobile devices is a significant trend. Edge AI enables real-time processing of data on the device itself, enhancing privacy, reducing latency, and enabling offline AI capabilities.

Restraints:

Privacy concerns, limited processing power on mobile devices, and potential bias in AI algorithms pose obstacles to market growth. Ensuring data security, optimizing AI algorithms, and addressing ethical concerns are crucial considerations.

Mobile Artificial Intelligence Market Segmentation:

Technology:

Natural Language Processing (NLP), image recognition, and AI-powered virtual assistants are key segments within the market. NLP enables voice commands and chatbots, image recognition enhances visual experiences, and virtual assistants offer personalized support.

Application:

Healthcare, automotive, gaming, and retail are important segments within the market. Mobile AI applications span across industries, from diagnosing medical conditions to enhancing augmented reality gaming.

Regional Overview:


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North America leads in mobile AI adoption due to the prevalence of AI-driven technologies and innovation hubs. Asia-Pacific is also a prominent market, driven by the growing smartphone user base and technological advancements.

Mobile Artificial Intelligence Market Customer Landscape:

The report analyzes customer adoption stages, from initial exploration to full integration, offering insights into factors influencing adoption decisions. This insight helps companies tailor strategies for different customer segments.

Major Mobile Artificial Intelligence Market Companies:

Companies are partnering with smartphone manufacturers, integrating edge AI, and launching innovative AI-powered applications to capture a larger market share.

  • AI MobileTech: Offers comprehensive mobile AI solutions tailored for various industries, providing NLP, image recognition, and AI-powered virtual assistants.
  • MobileMind Innovations: Specializes in edge AI technologies for mobile devices, enhancing on-device processing and enabling advanced AI capabilities.

The competitive landscape analysis provides insights into market dynamics and assists in devising effective business strategies.

Segment Overview:

The report provides revenue forecasts globally, regionally, and at the country level, along with insights into emerging trends and growth opportunities from 2019 to 2032.

  • Technology Outlook (USD Million, 2019 - 2032):
    • Natural Language Processing (NLP)
    • Image Recognition
    • AI-powered Virtual Assistants
  • Application Outlook (USD Million, 2019 - 2032):
    • Healthcare
    • Automotive
    • Gaming
    • Retail
  • Geography Outlook (USD Million, 2019 - 2032):
    • North America
      • U.S.
      • Canada
    • Europe
      • U.K.
      • Germany
      • France
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
    • Rest of the World
      • Latin America
      • Middle East & Africa

TABLE OF CONTENTS: GLOBAL Mobile Artificial Intelligence MARKET

Chapter 1. MARKET SYNOPSIS

1.1. Market Definition   

1.2. Research Scope & Premise

1.3. Methodology

1.4. Market Estimation Technique

Chapter 2. EXECUTIVE SUMMARY

2.1. Summary Snapshot, 2016 – 2027

Chapter 3. INDICATIVE METRICS

3.1. Macro Indicators

Chapter 4. Mobile Artificial Intelligence MARKET SEGMENTATION & IMPACT ANALYSIS

4.1. Mobile Artificial Intelligence Segmentation Analysis

4.2. Industrial Outlook

4.3. Price Trend Analysis

4.4. Regulatory Framework

4.5. Porter’s Five Forces Analysis

    4.5.1. Power Of Suppliers

    4.5.2. Power Of Buyers

    4.5.3. Threat Of Substitutes

    4.5.4. Threat Of New Entrants

    4.5.5. Competitive Rivalry

Chapter 5. Mobile Artificial Intelligence MARKET BY type landscape

SIGHTS & TRENDS                                                               

5.1. Segment 1 Dynamics & Market Share, 2019 & 2027

5.2 Type 1

    5.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.3 Type 2

    5.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

5.4 Type 3

    5.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    5.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 6. Mobile Artificial Intelligence MARKET BY Application INSIGHTS & TRENDS

6.1. Segment 2 Dynamics & Market Share, 2019 & 2027

6.2 Smartphone

    6.2.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.2.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.3 Camera

    6.3.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.3.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.4 Drone

    6.4.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.4.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.5 Robotic

    6.5.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.5.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

6.6 Automotive

    6.6.1. Market Estimates And Forecast, 2016 – 2027 (USD Million)

    6.6.2. Market Estimates And Forecast, By Region, 2016 – 2027 (USD Million)

Chapter 7. Mobile Artificial Intelligence MARKET REGIONAL OUTLOOK

7.1. Mobile Artificial Intelligence Market Share By Region, 2019 & 2027

7.2. NORTH AMERICA

    7.2.1. North America Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.2. North America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.3. North America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.4. North America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.5. U.S.

    7.2.5.1. U.S. Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.5.2. U.S. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.5.3. U.S. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.5.4. U.S. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.2.6. CANADA

    7.2.6.1. Canada Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.2.6.2. Canada Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.2.6.3. Canada Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.2.6.4. Canada Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3. EUROPE

    7.3.1. Europe Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.2. Europe Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.3. Europe Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.4. Europe Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.5. GERMANY

    7.3.5.1. Germany Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.5.2. Germany Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.5.3. Germany Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.5.4. Germany Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.6. FRANCE

    7.3.6.1. France Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.6.2. France Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.6.3. France Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.6.4. France Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.3.7. U.K.

    7.3.7.1. U.K. Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.3.7.2. U.K. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.3.7.3. U.K. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.3.7.4. U.K. Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4. ASIA-PACIFIC

    7.4.1. Asia Pacific Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.2. Asia Pacific Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.3. Asia Pacific Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.4. Asia Pacific Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

 7.4.5. CHINA

     7.4.5.1. China Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.5.2. China Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.5.3. China Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.5.4. China Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.6. INDIA

     7.4.6.1. India Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.6.2. India Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.6.3. India Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

     7.4.6.4. India Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.7. JAPAN

     7.4.7.1. Japan Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

     7.4.7.2. Japan Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.4.7.3. Japan Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.7.4. Japan Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.4.8. AUSTRALIA

    7.4.8.1. Australia Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.4.8.2. Australia Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

     7.4.8.3. Australia Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.4.8.4. Australia Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.5. MIDDLE EAST AND AFRICA (MEA)

    7.5.1. Mea Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.5.2. Mea Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.5.3. Mea Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.5.4. Mea Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

7.6. LATIN AMERICA

     7.6.1. Latin America Mobile Artificial Intelligence Market Estimates And Forecast, 2016 – 2027, (USD Million)

    7.6.2. Latin America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 1, 2016 –2027, (USD Million)

    7.6.3. Latin America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 2, 2016 –2027, (USD Million)

    7.6.4. Latin America Mobile Artificial Intelligence Market Estimates And Forecast By Production Process, 2016 –2027, (USD Million)

    7.6.5. Latin America Mobile Artificial Intelligence Market Estimates And Forecast By Segment 3, 2016 –2027, (USD Million)

Chapter 8. COMPETITIVE LANDSCAPE

8.1. Market Share By Manufacturers

8.2. Strategic Benchmarking

    8.2.1. New Product Launches

    8.2.2. Investment & Expansion

    8.2.3. Acquisitions

    8.2.4. Partnerships, Agreement, Mergers, Joint-Ventures

8.3. Vendor Landscape

     8.3.1. North American Suppliers

     8.3.2. European Suppliers

     8.3.3. Asia-Pacific Suppliers

     8.3.4. Rest Of The World Suppliers

Chapter 9. COMPANY PROFILES

9.1 Intel Corporation

    9.1.1. Company Overview

    9.1.2. Financial Performance

    9.1.3. Product Insights

    9.1.4. Strategic Initiatives

9.2 Microsoft Corporation

    9.2.1. Company Overview

    9.2.2. Financial Performance

    9.2.3. Product Insights

    9.2.4. Strategic Initiatives

9.3 Alphabet Inc. (Google LLC)

    9.3.1. Company Overview

    9.3.2. Financial Performance

    9.3.3. Product Insights

    9.3.4. Strategic Initiatives

9.4 Apple

    9.4.1. Company Overview

    9.4.2. Financial Performance

    9.4.3. Product Insights

    9.4.4. Strategic Initiatives

9.5 Samsung Electronics Co. Ltd

    9.5.1. Company Overview

    9.5.2. Financial Performance

    9.5.3. Product Insights

    9.5.4. Strategic Initiatives

9.6 Company 6

    9.6.1. Company Overview

    9.6.2. Financial Performance

    9.6.3. Product Insights

    9.6.4. Strategic Initiatives

9.7 Company 7

   9.7.1. Company Overview

    9.7.2. Financial Performance

    9.7.3. Product Insights

    9.7.4. Strategic Initiatives

9.8 Company 8

    9.8.1. Company Overview

    9.8.2. Financial Performance

    9.8.3. Product Insights

    9.8.4. Strategic Initiatives

9.9 Company 9

    9.9.1. Company Overview

    9.9.2. Financial Performance

    9.9.3. Product Insights

    9.9.4. Strategic Initiatives

9.10 Company 10

    9.10.1. Company Overview

    9.10.2. Financial Performance

    9.10.3. Product Insights

    9.10.4. Strategic Initiatives

RESEARCH METHODOLOGY

A research methodology is a systematic approach for assessing or conducting a market study. Researchers tend to draw on a variety of both qualitative and quantitative study methods, inclusive of investigations, survey, secondary data and market observation.

Such plans can focus on classifying the products offered by leading market players or simply use statistical models to interpret observations or test hypotheses. While some methods aim for a detailed description of the factors behind an observation, others present the context of the current market scenario.

Now let’s take a closer look at the research methods here.

Secondary Research Model

Extensive data is obtained and cumulated on a substantial basis during the inception phase of the research process. The data accumulated is consistently filtered through validation from the in-house database, paid sources as well reputable industry magazines. A robust research study requires an understanding of the overall value chain. Annual reports and financials of industry players are studied thoroughly to have a comprehensive idea of the market taxonomy.

Primary Insights

Post conglomeration of the data obtained through secondary research; a validation process is initiated to verify the numbers or figures. This process is usually performed by having a detailed discussion with the industry experts.

However, we do not restrict our primary interviews only to the industry leaders. Our team covers the entire value chain while verifying the data. A significant number of raw material suppliers, local manufacturers, distributors, and stakeholders are interviewed to make our findings authentic. The current trends which include the drivers, restraints, and opportunities are also derived through the primary research process.

Market Estimation

The market estimation is conducted by analyzing the data collected through both secondary and primary research. This process involves market breakdown, bottom-up and top- down approach.

Moreover, while forecasting the market a comprehensive statistical time series model is designed for each market. Macroeconomic indicators are considered to understand the current trends of the market. Each data point is verified by the process of data triangulation method to arrive at the final market estimates.

Final Presentation

The penultimate process results in a holistic research report. The study equips key industry players to undertake significant strategic decisions through the findings. The report encompasses detailed market information. Graphical representations of the current market trends are also made available in order to make the study highly comprehensible for the reader.

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