Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Mobile Artificial Intelligence (MAI) Market by Type (10nm, 20nm to 28nm, 7nm & Others), By Application (Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Mobile Artificial Intelligence (MAI) Market by Type (10nm, 20nm to 28nm, 7nm & Others), By Application (Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 250318 4200 Service & Software 377 131 Pages 4.6 (45)
                                          

Market Overview:


The global mobile artificial intelligence (MAI) market is expected to grow at a CAGR of over 36% during the forecast period from 2018 to 2030. The increasing demand for smartphones and other portable devices, coupled with the rising penetration of artificial intelligence in these devices, is driving the growth of the global MAI market. In addition, the growing demand for better camera quality in smartphones and other portable devices is also propelling the growth of this market. The global MAI market has been segmented on the basis of type, application, and region. On the basis of type, it has been segmented into 10nm, 20nm to 28nm, 7nm & others.Inaddition,.


Global Mobile Artificial Intelligence (MAI) Industry Outlook


Product Definition:


Mobile Artificial Intelligence (MAI) is a subset of AI that deals with the development and application of intelligent agents for mobile devices. MAI aims to provide devices with enhanced capabilities such as perception, reasoning, and decision-making so that they can interact more effectively with their users and their environment. The importance of Mobile Artificial Intelligence (MAI) lies in its ability to make mobile devices smarter and more useful for users. By providing enhanced perceptual abilities, reasoning capabilities, and decision-making abilities, MAI can help mobile devices become more efficient and user-friendly. Additionally, MAI can also help improve the overall usability of mobile apps by making interactions between users and apps smoother and more natural.


10nm:


10nm is a technology that refers to the size of an atom. The number 10 in this case represents a scale of measurement from 1x1018 meters to 1x1021 meters. It also represents the size of an individual DNA molecule which is around 100 picometers or 0.1 nanometers (nm).


20nm to 28nm:


20nm to 28nm is the size of nanometers range which means billionth of a meter. It is also known as femtometer (10-15 fm) or ftlbm (Fillioneters of Bit Million). This technology has been used in many applications such as mobile phones, digital cameras, laptops and personal computers.


Application Insights:


Based on application, the market has been segmented into smartphone, camera, automotive, robotics and drones/ARVR/others. The smartphone segment is expected to dominate the global mobile artificial intelligence market over the forecast period owing to increasing demand for smartphones in emerging countries such as India and China. Furthermore, technological advancements in AI have fueled demand for smartphones with high processing capabilities that can run complex applications faster. Smartphone manufacturers are focusing on delivering enhanced user experiences by incorporating advanced technologies such as 10nm-class AI processors into their phones. This trend is expected to continue over the forecast period since consumers prefer using MAI-enabled smartphones that provide a personalized experience while surfing internet or listening to music or watching videos.


The automotive segment accounted for more than 20% of overall revenue share in 2017 due to growing adoption of self-driving cars by companies such as Google and Apple Inc.


Regional Analysis:


The market in Asia Pacific is expected to grow at a significant rate over the forecast period owing to increasing investments by companies in this region. The growing adoption of smartphones, augmented reality (AR), virtual reality (VR) and other technologies has led to an increase in demand for artificial intelligence-based services and products. This, in turn, is anticipated to drive the regional market growth over the forecast period.


Increasing use of mobile AI applications such as facial recognition technology by law enforcement agencies has led to increased demand from countries such as China and India which are among top consumers of smartphones globally. Additionally, rising investments made by Chinese smartphone manufacturers including Huawei Technologies Co., Ltd., ZTE Corporation; BBK Electronics Corporation; Vivo Mobile Communication Co., Ltd.; OPPO Mobile Inc.; vivo Mobiles LLC; Realme UG(HU) Ldt.; Xiaomi Corp.; Lenovo Group Limited; Meizu Technology Co., Ltd.; HTC Corporation; Samsung Electronics CO,.


Growth Factors:


  • Increasing demand for intelligent mobile apps: The increasing demand for intelligent mobile apps is one of the major growth drivers for the MAI market. With the advent of big data and advanced analytics, businesses are looking to develop smart mobile apps that can provide better customer experience and improve business efficiency.
  • Proliferation of AI-powered devices: The proliferation of AI-powered devices, such as smartphones, tablets, and wearables is another major growth driver for the MAI market. These devices are equipped with powerful processors and sensors that can enable them to run artificial intelligence algorithms effectively. This is resulting in an increase in demand for MAI services and solutions.
  • Rising adoption of machine learning algorithms: Machine learning algorithms are being increasingly adopted by businesses to train their systems to learn from data on their own without any human intervention. This is helping businesses harness the power of artificial intelligence to improve their business processes and outcomes significantly. This is driving the growth of MAI market significantly.

Scope Of The Report

Report Attributes

Report Details

Report Title

Mobile Artificial Intelligence (MAI) Market Research Report

By Type

10nm, 20nm to 28nm, 7nm & Others

By Application

Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others

By Companies

IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation

Regions Covered

North America, Europe, APAC, Latin America, MEA

Base Year

2021

Historical Year

2019 to 2020 (Data from 2010 can be provided as per availability)

Forecast Year

2030

Number of Pages

131

Number of Tables & Figures

92

Customization Available

Yes, the report can be customized as per your need.


Global Mobile Artificial Intelligence (MAI) Market Report Segments:

The global Mobile Artificial Intelligence (MAI) market is segmented on the basis of:

Types

10nm, 20nm to 28nm, 7nm & Others

The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.

Applications

Smartphone, Camera, Automotive, Robotics, ARVR, Drones, Others

The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.

Some of the companies that are profiled in this report are:

  1. IBM
  2. Microsoft
  3. Huawei Technologies
  4. MediaTek
  5. Apple Inc.
  6. Samsung Electronics
  7. Intel Corporation
  8. Qualcomm Incorporated
  9. Google Inc.
  10. Nvidia Corporation

Global Mobile Artificial Intelligence (MAI) Market Overview


Highlights of The Mobile Artificial Intelligence (MAI) Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. 10nm
    2. 20nm to 28nm
    3. 7nm & Others
  1. By Application:

    1. Smartphone
    2. Camera
    3. Automotive
    4. Robotics
    5. ARVR
    6. Drones
    7. Others
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Mobile Artificial Intelligence (MAI) Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.

Regional Analysis

  • North America
  • Europe
  • Asia Pacific
  • Middle East & Africa
  • Latin America

Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.

The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.

How you may use our products:

  • Correctly Positioning New Products
  • Market Entry Strategies
  • Business Expansion Strategies
  • Consumer Insights
  • Understanding Competition Scenario
  • Product & Brand Management
  • Channel & Customer Management
  • Identifying Appropriate Advertising Appeals

Global Mobile Artificial Intelligence (MAI) Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Mobile artificial intelligence (MAI) is a subset of artificial intelligence that focuses on the development and use of intelligent mobile applications. MAI research aims to create mobile applications that can understand natural language, learn from user interactions, and make decisions based on those experiences.

Some of the major companies in the mobile artificial intelligence (mai) market are IBM, Microsoft, Huawei Technologies, MediaTek, Apple Inc., Samsung Electronics, Intel Corporation, Qualcomm Incorporated, Google Inc., Nvidia Corporation.

The mobile artificial intelligence (mai) market is expected to grow at a compound annual growth rate of 36%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Mobile Artificial Intelligence (MAI) Market Overview    4.1 Introduction       4.1.1 Market Taxonomy       4.1.2 Market Definition       4.1.3 Macro-Economic Factors Impacting the Market Growth    4.2 Mobile Artificial Intelligence (MAI) Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Mobile Artificial Intelligence (MAI) Market - Supply Chain Analysis       4.3.1 List of Key Suppliers       4.3.2 List of Key Distributors       4.3.3 List of Key Consumers    4.4 Key Forces Shaping the Mobile Artificial Intelligence (MAI) Market       4.4.1 Bargaining Power of Suppliers       4.4.2 Bargaining Power of Buyers       4.4.3 Threat of Substitution       4.4.4 Threat of New Entrants       4.4.5 Competitive Rivalry    4.5 Global Mobile Artificial Intelligence (MAI) Market Size & Forecast, 2018-2028       4.5.1 Mobile Artificial Intelligence (MAI) Market Size and Y-o-Y Growth       4.5.2 Mobile Artificial Intelligence (MAI) Market Absolute $ Opportunity

Chapter 5 Global Mobile Artificial Intelligence (MAI) Market Analysis and Forecast by Type
   5.1 Introduction
      5.1.1 Key Market Trends & Growth Opportunities by Type
      5.1.2 Basis Point Share (BPS) Analysis by Type
      5.1.3 Absolute $ Opportunity Assessment by Type
   5.2 Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      5.2.1 10nm
      5.2.2 20nm to 28nm
      5.2.3 7nm & Others
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Mobile Artificial Intelligence (MAI) Market Analysis and Forecast by Applications
   6.1 Introduction
      6.1.1 Key Market Trends & Growth Opportunities by Applications
      6.1.2 Basis Point Share (BPS) Analysis by Applications
      6.1.3 Absolute $ Opportunity Assessment by Applications
   6.2 Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      6.2.1 Smartphone
      6.2.2 Camera
      6.2.3 Automotive
      6.2.4 Robotics
      6.2.5 ARVR
      6.2.6 Drones
      6.2.7 Others
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Mobile Artificial Intelligence (MAI) Market Analysis and Forecast by Region
   7.1 Introduction
      7.1.1 Key Market Trends & Growth Opportunities by Region
      7.1.2 Basis Point Share (BPS) Analysis by Region
      7.1.3 Absolute $ Opportunity Assessment by Region
   7.2 Mobile Artificial Intelligence (MAI) Market Size Forecast by Region
      7.2.1 North America
      7.2.2 Europe
      7.2.3 Asia Pacific
      7.2.4 Latin America
      7.2.5 Middle East & Africa (MEA)
   7.3 Market Attractiveness Analysis by Region

Chapter 8 Coronavirus Disease (COVID-19) Impact 
   8.1 Introduction 
   8.2 Current & Future Impact Analysis 
   8.3 Economic Impact Analysis 
   8.4 Government Policies 
   8.5 Investment Scenario

Chapter 9 North America Mobile Artificial Intelligence (MAI) Analysis and Forecast
   9.1 Introduction
   9.2 North America Mobile Artificial Intelligence (MAI) Market Size Forecast by Country
      9.2.1 U.S.
      9.2.2 Canada
   9.3 Basis Point Share (BPS) Analysis by Country
   9.4 Absolute $ Opportunity Assessment by Country
   9.5 Market Attractiveness Analysis by Country
   9.6 North America Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      9.6.1 10nm
      9.6.2 20nm to 28nm
      9.6.3 7nm & Others
   9.7 Basis Point Share (BPS) Analysis by Type 
   9.8 Absolute $ Opportunity Assessment by Type 
   9.9 Market Attractiveness Analysis by Type
   9.10 North America Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      9.10.1 Smartphone
      9.10.2 Camera
      9.10.3 Automotive
      9.10.4 Robotics
      9.10.5 ARVR
      9.10.6 Drones
      9.10.7 Others
   9.11 Basis Point Share (BPS) Analysis by Applications 
   9.12 Absolute $ Opportunity Assessment by Applications 
   9.13 Market Attractiveness Analysis by Applications

Chapter 10 Europe Mobile Artificial Intelligence (MAI) Analysis and Forecast
   10.1 Introduction
   10.2 Europe Mobile Artificial Intelligence (MAI) Market Size Forecast by Country
      10.2.1 Germany
      10.2.2 France
      10.2.3 Italy
      10.2.4 U.K.
      10.2.5 Spain
      10.2.6 Russia
      10.2.7 Rest of Europe
   10.3 Basis Point Share (BPS) Analysis by Country
   10.4 Absolute $ Opportunity Assessment by Country
   10.5 Market Attractiveness Analysis by Country
   10.6 Europe Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      10.6.1 10nm
      10.6.2 20nm to 28nm
      10.6.3 7nm & Others
   10.7 Basis Point Share (BPS) Analysis by Type 
   10.8 Absolute $ Opportunity Assessment by Type 
   10.9 Market Attractiveness Analysis by Type
   10.10 Europe Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      10.10.1 Smartphone
      10.10.2 Camera
      10.10.3 Automotive
      10.10.4 Robotics
      10.10.5 ARVR
      10.10.6 Drones
      10.10.7 Others
   10.11 Basis Point Share (BPS) Analysis by Applications 
   10.12 Absolute $ Opportunity Assessment by Applications 
   10.13 Market Attractiveness Analysis by Applications

Chapter 11 Asia Pacific Mobile Artificial Intelligence (MAI) Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Mobile Artificial Intelligence (MAI) Market Size Forecast by Country
      11.2.1 China
      11.2.2 Japan
      11.2.3 South Korea
      11.2.4 India
      11.2.5 Australia
      11.2.6 South East Asia (SEA)
      11.2.7 Rest of Asia Pacific (APAC)
   11.3 Basis Point Share (BPS) Analysis by Country
   11.4 Absolute $ Opportunity Assessment by Country
   11.5 Market Attractiveness Analysis by Country
   11.6 Asia Pacific Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      11.6.1 10nm
      11.6.2 20nm to 28nm
      11.6.3 7nm & Others
   11.7 Basis Point Share (BPS) Analysis by Type 
   11.8 Absolute $ Opportunity Assessment by Type 
   11.9 Market Attractiveness Analysis by Type
   11.10 Asia Pacific Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      11.10.1 Smartphone
      11.10.2 Camera
      11.10.3 Automotive
      11.10.4 Robotics
      11.10.5 ARVR
      11.10.6 Drones
      11.10.7 Others
   11.11 Basis Point Share (BPS) Analysis by Applications 
   11.12 Absolute $ Opportunity Assessment by Applications 
   11.13 Market Attractiveness Analysis by Applications

Chapter 12 Latin America Mobile Artificial Intelligence (MAI) Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Mobile Artificial Intelligence (MAI) Market Size Forecast by Country
      12.2.1 Brazil
      12.2.2 Mexico
      12.2.3 Rest of Latin America (LATAM)
   12.3 Basis Point Share (BPS) Analysis by Country
   12.4 Absolute $ Opportunity Assessment by Country
   12.5 Market Attractiveness Analysis by Country
   12.6 Latin America Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      12.6.1 10nm
      12.6.2 20nm to 28nm
      12.6.3 7nm & Others
   12.7 Basis Point Share (BPS) Analysis by Type 
   12.8 Absolute $ Opportunity Assessment by Type 
   12.9 Market Attractiveness Analysis by Type
   12.10 Latin America Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      12.10.1 Smartphone
      12.10.2 Camera
      12.10.3 Automotive
      12.10.4 Robotics
      12.10.5 ARVR
      12.10.6 Drones
      12.10.7 Others
   12.11 Basis Point Share (BPS) Analysis by Applications 
   12.12 Absolute $ Opportunity Assessment by Applications 
   12.13 Market Attractiveness Analysis by Applications

Chapter 13 Middle East & Africa (MEA) Mobile Artificial Intelligence (MAI) Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Mobile Artificial Intelligence (MAI) Market Size Forecast by Country
      13.2.1 Saudi Arabia
      13.2.2 South Africa
      13.2.3 UAE
      13.2.4 Rest of Middle East & Africa (MEA)
   13.3 Basis Point Share (BPS) Analysis by Country
   13.4 Absolute $ Opportunity Assessment by Country
   13.5 Market Attractiveness Analysis by Country
   13.6 Middle East & Africa (MEA) Mobile Artificial Intelligence (MAI) Market Size Forecast by Type
      13.6.1 10nm
      13.6.2 20nm to 28nm
      13.6.3 7nm & Others
   13.7 Basis Point Share (BPS) Analysis by Type 
   13.8 Absolute $ Opportunity Assessment by Type 
   13.9 Market Attractiveness Analysis by Type
   13.10 Middle East & Africa (MEA) Mobile Artificial Intelligence (MAI) Market Size Forecast by Applications
      13.10.1 Smartphone
      13.10.2 Camera
      13.10.3 Automotive
      13.10.4 Robotics
      13.10.5 ARVR
      13.10.6 Drones
      13.10.7 Others
   13.11 Basis Point Share (BPS) Analysis by Applications 
   13.12 Absolute $ Opportunity Assessment by Applications 
   13.13 Market Attractiveness Analysis by Applications

Chapter 14 Competition Landscape 
   14.1 Mobile Artificial Intelligence (MAI) Market: Competitive Dashboard
   14.2 Global Mobile Artificial Intelligence (MAI) Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 IBM
      14.3.2 Microsoft
      14.3.3 Huawei Technologies
      14.3.4 MediaTek
      14.3.5 Apple Inc.
      14.3.6 Samsung Electronics
      14.3.7 Intel Corporation
      14.3.8 Qualcomm Incorporated
      14.3.9 Google Inc.
      14.3.10 Nvidia Corporation

Our Trusted Clients

Contact Us