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Asia Pacific AI in Computer Vision Market By Offering, By Machine Learning Model, By Function, By Application, By End User, By Country, Growth Potential, COVID-19 Impact Analysis Report and Forecast, 2021 - 2027

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    Report

  • 147 Pages
  • June 2021
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 5387591
The Asia Pacific AI in Computer Vision Market is expected to witness market growth of 24.7% CAGR during the forecast period (2021-2027).

Computer vision is mainly driven by artificial intelligence. AI is an advanced technology that guides the computers how to analyze images based on the recognition of patterns/objects. The introduction of deep learning techniques made computer vision systems capable of replicating human vision more efficiently. For example, AI-aided surveillance in the healthcare industry is used in cranial imaging to examine acute neurologic events and thus, helps in the detection of neurological illnesses. There are many other fields where AI in computer vision finds its application. Some of them are biometric analysis in security, disease diagnoses in healthcare, quality examination in manufacturing, and obstacle detection, and transportation for guiding autonomous vehicles.

The advent of computer vision technology in other devices like smartphones is mainly fuelled by high number of investments in AI techniques by key OEMs such as Samsung, Apple, Huawei, and Google. The next-generation smartphones are leveraged with advanced features like advanced cameras that have higher resolutions capable of capturing more data. This feature helps in the improvement of the overall accuracy of visual recognition and thus enhances the dependability of facial recognition. In recent years, such developments are widely promoted such as Google worked on the first global tango-enabled smartphone namely Lenovo Phab 2 and ASUS ZenFone AR.

In the Asia-Pacific region, there is a high use of smartphone penetration and the popularity of smart wearable devices leveraged with AR and VR is also high. Thus, electronic manufacturing companies in countries such as China, India, and Japan are adopting automation and other advanced technology to increase the production of such devices. Government organizations in developing countries are supporting the adoption of AI and ML across various industrial verticals. This is likely to enhance productivity in the various electronic manufacturing sectors that, in turn, contribute to economic development. The increasing demand to incorporate the Industry 4.0 and the implementation of advanced manufacturing techniques for increasing automation in various applications in India will also drive the demand for AI in computer vision in this region. Moreover, the significant contribution from China, India, and South Korea and the growth of AI in the computer vision is expected to drive the regional market during the forecast period.

The China market dominated the Asia Pacific Unsupervised Learning & Reinforcement Learning AI in Computer Vision Market by Country 2020, growing at a CAGR of 23.8 % during the forecast period. The Japan market is showcasing a CAGR of 25.5% during (2021 - 2027). Additionally, The India market is anticipated to witness a CAGR of 27% during (2021 - 2027).

The Non-industrial market dominated the Malaysia AI in Computer Vision Market by Application 2020, thereby, achieving a market value of $631.2 million by 2027. The Industrial market is expected to witness a CAGR of 30.1% during (2021 - 2027).

Based on Offering, the market is segmented into Software and Hardware. Hardware segment is further bifurcated across Processor, Memory and Storage. Based on Machine Learning Model, the market is segmented into Supervised Learning and Unsupervised Learning & Reinforcement Learning. Based on Function, the market is segmented into Inference and Training. Based on Application, the market is segmented into Non-industrial and Industrial. Based on End User, the market is segmented into Consumer Electronics, Automotive, Retail, Healthcare, Security & Surveillance, Manufacturing and Others. Based on countries, the market is segmented into China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.

The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, Intel Corporation, Microsoft Corporation, IBM Corporation, Qualcomm, Inc., Amazon.com, Inc., Xilinx, Inc., Google, Inc., Facebook, Inc., and Basler AG.

Scope of the Study

Market Segments covered in the Report:

By Offering
  • Software
  • Hardware
  • Processor
  • Memory
  • Storage

By Machine Learning Model
  • Supervised Learning
  • Unsupervised Learning & Reinforcement Learning

By Function
  • Inference
  • Training

By Application
  • Non-industrial
  • Industrial

By End User
  • Consumer Electronics
  • Automotive
  • Retail
  • Healthcare
  • Security & Surveillance
  • Manufacturing
  • Others

By Country
  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

Companies Profiled
  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Qualcomm, Inc.
  • Amazon.com, Inc.
  • Xilinx, Inc.
  • Google, Inc.
  • Facebook, Inc.
  • Basler AG

Unique Offerings from the Publisher
  • Exhaustive coverage
  • Highest number of market tables and figures
  • Subscription based model available
  • Guaranteed best price
  • Assured post sales research support with 10% customization free

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Asia Pacific AI in Computer Vision Market, by Offering
1.4.2 Asia Pacific AI in Computer Vision Market, by Machine Learning Model
1.4.3 Asia Pacific AI in Computer Vision Market, by Function
1.4.4 Asia Pacific AI in Computer Vision Market, by Application
1.4.5 Asia Pacific AI in Computer Vision Market, by End User
1.4.6 Asia Pacific AI in Computer Vision Market, by Country
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.2 Market Composition and Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Top Winning Strategies
3.3.1 Key Leading Strategies: Percentage Distribution (2017-2021)
3.3.2 Key Strategic Move: (Product Launches and Product Expansions : 2019, Oct - 2021, Apr) Leading Players
Chapter 4. Asia Pacific AI in Computer Vision Market by Offering
4.1 Asia Pacific AI in Computer Vision Software Market by Country
4.2 Asia Pacific AI in Computer Vision Hardware Market by Country
4.3 Asia Pacific AI in Computer Vision Market by Hardware Type
4.3.1 Asia Pacific AI in Computer Vision Processor Market by Country
4.3.2 Asia Pacific AI in Computer Vision Memory Market by Country
4.3.3 Asia Pacific AI in Computer Vision Storage Market by Country
Chapter 5. Asia Pacific AI in Computer Vision Market by Machine Learning Model
5.1 Asia Pacific Supervised Learning AI in Computer Vision Market by Country
5.2 Asia Pacific Unsupervised Learning & Reinforcement Learning AI in Computer Vision Market by Country
Chapter 6. Asia Pacific AI in Computer Vision Market by Function
6.1 Asia Pacific Inference AI in Computer Vision Market by Country
6.2 Asia Pacific Training AI in Computer Vision Market by Country
Chapter 7. Asia Pacific AI in Computer Vision Market by Application
7.1 Asia Pacific Non-industrial AI in Computer Vision Market by Country
7.2 Asia Pacific Industrial AI in Computer Vision Market by Country
Chapter 8. Asia Pacific AI in Computer Vision Market by End User
8.1 Asia Pacific Consumer Electronics AI in Computer Vision Market by Country
8.2 Asia Pacific Automotive AI in Computer Vision Market by Country
8.3 Asia Pacific Retail AI in Computer Vision Market by Country
8.4 Asia Pacific Healthcare AI in Computer Vision Market by Country
8.5 Asia Pacific Security & Surveillance AI in Computer Vision Market by Country
8.6 Asia Pacific Manufacturing AI in Computer Vision Market by Country
8.7 Asia Pacific Others AI in Computer Vision Market by Country
Chapter 9. Asia Pacific AI in Computer Vision Market by Country
9.1 China AI in Computer Vision Market
9.1.1 China AI in Computer Vision Market by Offering
9.1.1.1 China AI in Computer Vision Market by Hardware Type
9.1.2 China AI in Computer Vision Market by Machine Learning Model
9.1.3 China AI in Computer Vision Market by Function
9.1.4 China AI in Computer Vision Market by Application
9.1.5 China AI in Computer Vision Market by End User
9.2 Japan AI in Computer Vision Market
9.2.1 Japan AI in Computer Vision Market by Offering
9.2.1.1 Japan AI in Computer Vision Market by Hardware Type
9.2.2 Japan AI in Computer Vision Market by Machine Learning Model
9.2.3 Japan AI in Computer Vision Market by Function
9.2.4 Japan AI in Computer Vision Market by Application
9.2.5 Japan AI in Computer Vision Market by End User
9.3 India AI in Computer Vision Market
9.3.1 India AI in Computer Vision Market by Offering
9.3.1.1 India AI in Computer Vision Market by Hardware Type
9.3.2 India AI in Computer Vision Market by Machine Learning Model
9.3.3 India AI in Computer Vision Market by Function
9.3.4 India AI in Computer Vision Market by Application
9.3.5 India AI in Computer Vision Market by End User
9.4 South Korea AI in Computer Vision Market
9.4.1 South Korea AI in Computer Vision Market by Offering
9.4.1.1 South Korea AI in Computer Vision Market by Hardware Type
9.4.2 South Korea AI in Computer Vision Market by Machine Learning Model
9.4.3 South Korea AI in Computer Vision Market by Function
9.4.4 South Korea AI in Computer Vision Market by Application
9.4.5 South Korea AI in Computer Vision Market by End User
9.5 Singapore AI in Computer Vision Market
9.5.1 Singapore AI in Computer Vision Market by Offering
9.5.1.1 Singapore AI in Computer Vision Market by Hardware Type
9.5.2 Singapore AI in Computer Vision Market by Machine Learning Model
9.5.3 Singapore AI in Computer Vision Market by Function
9.5.4 Singapore AI in Computer Vision Market by Application
9.5.5 Singapore AI in Computer Vision Market by End User
9.6 Malaysia AI in Computer Vision Market
9.6.1 Malaysia AI in Computer Vision Market by Offering
9.6.1.1 Malaysia AI in Computer Vision Market by Hardware Type
9.6.2 Malaysia AI in Computer Vision Market by Machine Learning Model
9.6.3 Malaysia AI in Computer Vision Market by Function
9.6.4 Malaysia AI in Computer Vision Market by Application
9.6.5 Malaysia AI in Computer Vision Market by End User
9.7 Rest of Asia Pacific AI in Computer Vision Market
9.7.1 Rest of Asia Pacific AI in Computer Vision Market by Offering
9.7.1.1 Rest of Asia Pacific AI in Computer Vision Market by Hardware Type
9.7.2 Rest of Asia Pacific AI in Computer Vision Market by Machine Learning Model
9.7.3 Rest of Asia Pacific AI in Computer Vision Market by Function
9.7.4 Rest of Asia Pacific AI in Computer Vision Market by Application
9.7.5 Rest of Asia Pacific AI in Computer Vision Market by End User
Chapter 10. Company Profiles
10.1 NVIDIA Corporation
10.1.1 Company Overview
10.1.2 Financial Analysis
10.1.3 Segmental and Regional Analysis
10.1.4 Research & Development Expense
10.1.5 Recent strategies and developments:
10.1.5.1 Product Launches and Product Expansions:
10.1.5.1 Partnerships, Collaborations, and Agreements:
10.1.5.2 Acquisition and Mergers:
10.1.6 SWOT Analysis
10.2 Intel Corporation
10.2.1 Company Overview
10.2.2 Financial Analysis
10.2.3 Segmental and Regional Analysis
10.2.4 Research & Development Expenses
10.2.5 Recent strategies and developments:
10.2.5.1 Product Launches and Product Expansions:
10.2.5.2 Partnerships, Collaborations, and Agreements:
10.2.6 SWOT Analysis
10.3 Microsoft Corporation
10.3.1 Company Overview
10.3.2 Financial Analysis
10.3.3 Segmental and Regional Analysis
10.3.4 Research & Development Expenses
10.3.5 Recent strategies and developments:
10.3.5.1 Partnerships, Collaborations, and Agreements:
10.3.6 SWOT Analysis
10.4 IBM Corporation
10.4.1 Company Overview
10.4.2 Financial Analysis
10.4.3 Regional & Segmental Analysis
10.4.4 Research & Development Expenses
10.4.5 SWOT Analysis
10.5 Qualcomm, Inc.
10.5.1 Company Overview
10.5.2 Financial Analysis
10.5.3 Segmental and Regional Analysis
10.5.4 Research & Development Expense
10.5.5 Recent strategies and developments:
10.5.5.1 Product Launches and Product Expansions:
10.5.5.2 Partnerships, Collaborations, and Agreements:
10.5.6 SWOT Analysis
10.6 Amazon.com, Inc.
10.6.1 Company Overview
10.6.2 Financial Analysis
10.6.3 Segmental and Regional Analysis
10.6.4 Recent strategies and developments:
10.6.4.1 Product Launches and Product Expansions:
10.6.5 SWOT Analysis
10.7 Xilinx, Inc.
10.7.1 Company Overview
10.7.2 Financial Analysis
10.7.3 Regional Analysis
10.7.4 Research & Development Expenses
10.7.5 Recent strategies and developments:
10.7.5.1 Product Launches and Product Expansions:
10.8 Google, Inc.
10.8.1 Company Overview
10.8.2 Financial Analysis
10.8.3 Segmental and Regional Analysis
10.8.4 Research & Development Expense
10.8.5 Recent strategies and developments:
10.8.5.1 Acquisition and Mergers:
10.8.6 SWOT Analysis
10.9 Facebook, Inc.
10.9.1 Company Overview
10.9.2 Financial Analysis
10.9.3 Regional Analysis
10.9.4 Research & Development Expense
10.9.5 Recent strategies and developments:
10.9.5.1 Product Launches and Product Expansions:
10.9.5.2 Acquisition and Mergers:
10.9.6 SWOT Analysis
10.10. Basler AG
10.10.1 Company Overview
10.10.2 Financial Analysis
10.10.3 Regional Analysis
10.10.4 Research & Development Expense
10.10.5 Recent strategies and developments:
10.10.5.1 Product Launches and Product Expansions:
10.10.5.2 Partnerships, Collaborations, and Agreements:
10.10.5.3 Acquisition and Mergers:

Companies Mentioned

  • NVIDIA Corporation
  • Intel Corporation
  • Microsoft Corporation
  • IBM Corporation
  • Qualcomm, Inc.
  • Amazon.com, Inc.
  • Xilinx, Inc.
  • Google, Inc.
  • Facebook, Inc.
  • Basler AG

Methodology

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