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Global Mobile Artificial Intelligence (AI) Market (2021-2026) by Technology Node, Product, and Application and Geography, Competitive Analysis and the Impact of Covid-19 with Ansoff Analysis

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    Report

  • 175 Pages
  • November 2021
  • Region: Global
  • Infogence Global Research
  • ID: 5515375
The Global Mobile Artificial Intelligence Market is estimated to be USD 7.2 Bn in 2021 and is expected to reach USD 22.08 Bn by 2026, growing at a CAGR of 25.12%.



Market Dynamics

Artificial Intelligence and Machine Learning are considered a part of the day-to-day operations of huge enterprises in various disciplines.

The worldwide mobile artificial intelligence (AI) market is expected to rise significantly during the projected period. Factors such as growing demands for artificial intelligence (AI) in smartphones, rising need for AI-capable processors, and rising investment in AI technologies fuel the growth of the mobile artificial intelligence (AI) market. Artificial intelligence technology is widely employed in various ground-breaking applications in manufacturing, automotive, and video games. AI technology is now used in the smartphone business, and it extends well beyond applications such as digital assistants. Several smartphone makers are striving to create AI capabilities that meet the expectations of their customers. For the worldwide mobile artificial intelligence (AI) industry, more investment in inexpensive AI processors and R&D dedicated to camera applications is an opportunity.

The high cost of artificial processors, on the other hand, is a key stumbling block to the worldwide mobile artificial intelligence (AI) market's development.

Market Segmentation

The Global Mobile Artificial Intelligence (AI) Market is segmented further based on Technology Node, Product, and Application and Geography.

By Technology Node, the market is classified into 20-28nm, 10nm, 7nm, and Others.

By Product Type, the market is classified into Hardware, Software, and Services.

By Application, the market is classified into Smartphones, Cameras, Drones, Automotive, Robotics, AR/ VR, and Others.

By Geography, North America is projected to lead the market.

Recent Developments

1. AI chipmaker Kneron acquires Vatics gets more funding-5th Jul 2021
2. SambaNova Systems Announces International Expansion in EMEA-2nd Nov 2020

Company Profiles

Some of the companies covered in this report are Alphabet, Apple, DataToBiz, Graphcore, Intel, Sambanova Systems, etc.

Countries Studied

  • America (Argentina, Brazil, Canada, Chile, Colombia, Mexico, Peru, United States, Rest of Americas)
  • Europe (Austria, Belgium, Denmark, Finland, France, Germany, Italy, Netherlands, Norway, Poland, Russia, Spain, Sweden, Switzerland, United Kingdom, Rest of Europe)
  • Middle-East and Africa (Egypt, Israel, Qatar, Saudi Arabia, South Africa, United Arab Emirates, Rest of MEA)
  • Asia-Pacific (Australia, Bangladesh, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Sri Lanka, Thailand, Taiwan, Rest of Asia-Pacific)

Competitive Quadrant

The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global Mobile Artificial Intelligence (AI) Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes an in-depth market analysis using Porter's 5 forces model and the Ansoff Matrix. In addition, the impact of Covid-19 on the market is also featured in the report.
  • The report also includes the regulatory scenario in the industry, which will help you make a well-informed decision. The report discusses major regulatory bodies and major rules and regulations imposed on this sector across various geographies.
  • The report also contains the competitive analysis using Positioning Quadrants, the analyst's Proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market, including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market
Frequently Asked Questions about the Global Mobile Artificial Intelligence (AI) Market

What is the estimated value of the Global Mobile Artificial Intelligence (AI) Market?

The Global Mobile Artificial Intelligence (AI) Market was estimated to be valued at $7200 Million in 2021.

What is the growth rate of the Global Mobile Artificial Intelligence (AI) Market?

The growth rate of the Global Mobile Artificial Intelligence (AI) Market is 25.1%, with an estimated value of $22080 Million by 2026.

What is the forecasted size of the Global Mobile Artificial Intelligence (AI) Market?

The Global Mobile Artificial Intelligence (AI) Market is estimated to be worth $22080 Million by 2026.

Who are the key companies in the Global Mobile Artificial Intelligence (AI) Market?

Key companies in the Global Mobile Artificial Intelligence (AI) Market include Alphabet, Inc, Apple, Inc, Cambricon Technology, Cerebras Systems, DataToBiz, Deeper Insights, DeePhi Tech, Graphcore and IBM Corporation.

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Shareholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.2.3 Models
2.3 Market Size Estimation
2.3.1 Bottom-Up Approach
2.3.2 Top-Down Approach
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
3.1 Introduction
3.2 Market Size and Segmentation
3.3 Market Outlook
4 Market Influencers
4.1 Drivers
4.1.1 Rising Investment in Artificial Intelligence Technologies
4.1.2 An Increasing Need for AI-Capable Processors in Mobile Devices
4.2 Restraints
4.2.1 High Price of Premium AI Processors
4.2.2 Less AI Experts
4.3 Opportunities
4.3.1 Dedicated Low-Cost AI Chips for Mobile Camera and Vision Applications
4.3.2 Edge Computing Unlocks 5G Services
4.4 Challenges
4.4.1 Inaccuracy AI Algorithms in Mobile Apps
4.4.2 Developing AI Models and Mechanisms
5 Market Analysis
5.1 Regulatory Scenario
5.2 Porter's Five Forces Analysis
5.3 Impact of COVID-19
5.4 Ansoff Matrix Analysis
6 Global Mobile Artificial Intelligence (AI) Market, By Technology Node
6.1 Introduction
6.2 20–28nm
6.3 10nm
6.4 7nm
6.5 Others (12nm and 14nm)
7 Global Mobile Artificial Intelligence (AI) Market, By Product Type
7.1 Introduction
7.2 Hardware
7.2.1 Processor
7.2.2 Memory
7.2.3 Sensor
7.2.4 Others
7.3 Software
7.4 Services
7.5 Antennae & Connectivity Modules
8 Global Mobile Artificial Intelligence (AI) Market, By Application
8.1 Introduction
8.2 Smartphones
8.3 Cameras
8.4 Drones
8.5 Automotive
8.6 Robotics
8.7 AR/ VR
8.8 Others
9 Global Mobile Artificial Intelligence Market, By Geography
9.1 Introduction
9.2 America
9.2.1 Argentina
9.2.2 Brazil
9.2.3 Canada
9.2.4 Chile
9.2.5 Colombia
9.2.6 Mexico
9.2.7 Peru
9.2.8 United States
9.2.9 Rest of Americas
9.3 Europe
9.3.1 Austria
9.3.2 Belgium
9.3.3 Denmark
9.3.4 Finland
9.3.5 France
9.3.6 Germany
9.3.7 Italy
9.3.8 Netherlands
9.3.9 Norway
9.3.10 Poland
9.3.11 Russia
9.3.12 Spain
9.3.13 Sweden
9.3.14 Switzerland
9.3.15 United Kingdom
9.3.16 Rest of Europe
9.4 Middle East and Africa
9.4.1 Egypt
9.4.2 Israel
9.4.3 Qatar
9.4.4 Saudi Arabia
9.4.5 South Africa
9.4.6 United Arab Emirates
9.4.7 Rest of MEA
9.5 Asia-Pacific
9.5.1 Australia
9.5.2 Bangladesh
9.5.3 China
9.5.4 India
9.5.5 Indonesia
9.5.6 Japan
9.5.7 Malaysia
9.5.8 Philippines
9.5.9 Singapore
9.5.10 South Korea
9.5.11 Sri Lanka
9.5.12 Thailand
9.5.13 Taiwan
9.5.14 Rest of Asia-Pacific
10 Competitive Landscape
10.1 Competitive Quadrant
10.2 Market Share Analysis
10.3 Strategic Initiatives
10.3.1 M&A and Investments
10.3.2 Partnerships and Collaborations
10.3.3 Product Developments and Improvements
11 Company Profiles
11.1 Alphabet, Inc
11.2 Apple, Inc
11.3 Cambricon Technology
11.4 Cerebras Systems
11.5 DataToBiz
11.6 Deeper Insights
11.7 DeePhi Tech
11.8 Graphcore
11.9 Huawei Technologies Co. Ltd
11.10 IBM Corporation
11.11 Intel Corporation
11.12 Kneron
11.13 Mediatek, Inc
11.14 Microsoft Corporation
11.15 Nvidia Corporation
11.16 Qualcomm Technologies, Inc
11.17 Quytech
11.18 Rockchip
11.19 Sambanova Systems
11.20 Samsung Electronics Co. Ltd
11.21 Shanghai Thinkforce Electronic Technology
11.22 Blaize, Inc.
11.23 Tooploox
11.24 Unicsoft
11.25 Zegami
12 Appendix
12.1 Questionnaire

Companies Mentioned

  • Alphabet, Inc
  • Apple, Inc
  • Cambricon Technology
  • Cerebras Systems
  • DataToBiz
  • Deeper Insights
  • DeePhi Tech
  • Graphcore
  • Huawei Technologies Co. Ltd
  • IBM Corporation
  • Intel Corporation
  • Kneron
  • Mediatek, Inc
  • Microsoft Corporation
  • Nvidia Corporation
  • Qualcomm Technologies, Inc
  • Quytech
  • Rockchip
  • Sambanova Systems
  • Samsung Electronics Co. Ltd
  • Shanghai Thinkforce Electronic Technology
  • Blaize, Inc.
  • Tooploox
  • Unicsoft
  • Zegami