Asia-Pacific AI in Computer Vision Market Key Players and Opportunities by 2027

Asia-Pacific AI in Computer Vision Market Forecast to 2027 - COVID-19 Impact and Regional Analysis By Component (Hardware and Software) and End-User (Automotive, Sports and Entertainment, Robotics and Machine Vision, Security and Surveillance, Government and Defense, and Others)

Historic Data: 2017-2018 | Base Year: 2019 | Forecast Period: 2020-2027
  • Status : Published
  • Report Code : TIPRE00022087
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 138
  • Available Report Formats : pdf-format excel-format
  • Last update date : May 05, 2021
Asia-Pacific AI in Computer Vision Market Key Players and Opportunities by 2027
Report Date: May 05, 2021   |   Report Code: TIPRE00022087 Email: sales@theinsightpartners.com

2019 Market Size

US$ 1,156.92 Mn

Base year value

2027 Forecast

US$ 27,754.01 Mn

Projected by 2027

CAGR 2020-2027

49.8 %

Growth rate

Addressable Market

US$ 84,762.96 Mn

(2020-2027)

The AI in computer vision market in APAC is expected to grow from US$ 1,156.92 million in 2019 to US$ 27,754.01 million by 2027; it is estimated to grow at a CAGR of 49.8% from 2020 to 2027.



Australia, China, India, Japan, and South Korea are major economies in APAC. Although innovations, such as the Internet of Things, are revolutionizing the manufacturing industry and making processes more autonomous, AI in computer vision would help improve them further. Computer vision is playing a significant part in inspecting fabricated products for flaws and non-conformities. Thus, on the production line, it may remove the need for human inspection, which is significantly increasing the adoption of AI in computer vision technology across the market. Similarly, edge computing solves the dilemma of latency and network usability. Devices can currently be set up in places where a network link is bad or non-existent without considering the connectivity. In addition, edge computing would offset some of the costs of using and managing cloud computing for data sharing. These factors are expected to drive the APAC AI in computer vision market during the forecast period. 

Because of a massive number of cases in China, the APAC region is greatly affected by COVID-19, the country is the most important manufacturer and industrial producer because it trades more manufacturing products than any other country in the world; it is also a world leader in many types of goods. According to the Organization for Economic Co-operation and Development (OECD), the pandemic has also affected other major economies outside China, such as the large South Korea, India, Australia, and Japan, and is experiencing downward inflation.The sudden closedown of all economic activities which includes manufacturing and processing amongst others has highly impacted the growth of the region. Owing to severe burden of losses over manufacturing companies, the investment on new technologies and implementation of the same will now be deferred till they resume back to normal. This is expected to negatively impact the AI in computer vision market growth. However, the rising adoption of the technology across the healthcare sector to determine symptoms of covid-19 strains are influencing its high adoption across the countries to combat the rapid spread of the virus. Thus, the mixed effect of the technology across various industries is expected to moderately impact the market growth over the years across the region.  

With the new features and technologies, vendors can attract new customers and expand their footprints in emerging markets. This factor is likely to drive the APAC AI in computer vision market. The Asia Pacific AI in computer vision market is expected to grow at a good CAGR during the forecast period.
APAC AI in computer vision market

  • This FREE sample will include data analysis, ranging from market trends to estimates and forecasts.

APAC AI in Computer Vision Market Segmentation

APAC AI in Computer Vision Market – By Component

  • Software
  • Hardware

APAC AI in Computer Vision Market – By End-User

  • Automotive
  • Sports and Entertainment
  • Robotics and Machine Vision
  • Security and Surveillance
  • Government and Defense
  • Others

APAC AI in computer vision Market, by Country

  • Australia
  • China
  • India
  • Japan
  • South Korea
  • Rest of APAC

APAC AI in computer vision Market - Companies Mentioned

  • 1.6 Xilinx, Inc.
  • Allied Vision Technologies GmbH
  • Basler AG
  • Cognex Corporation
  • General Electric Company
  • Intel Corporation
  • Microsoft Corporation
  • Nvidia Corporation
  • Qualcomm Incorporated
  • Teledyne Technologies, Inc

Asia-Pacific AI in Computer Vision Report Scope

Report Attribute Details
Market size in 2019 US$ 1,156.92 Million
Market Size by 2027 US$ 27,754.01 Million
CAGR (2020 - 2027) 49.8%
Historical Data 2017-2018
Forecast period 2020-2027
Segments Covered By Component
  • Hardware
  • Software
By End-User
  • Automotive
  • Sports and Entertainment
  • Robotics and Machine Vision
  • Security and Surveillance
  • Government and Defense
Regions and Countries Covered Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
Market leaders and key company profiles
  • 6 Xilinx, Inc.
  • Allied Vision Technologies GmbH
  • Basler AG
  • Cognex Corporation
  • General Electric Company
  • Intel Corporation
  • Microsoft Corporation
  • Nvidia Corporation
  • Qualcomm Incorporated
  • Teledyne Technologies, Inc.
Ankita Mittal
Manager,
Market Research & Consulting

Ankita is a market research and consulting professional with over nine years of experience across technology, media, telecommunication, electronics & semiconductors, and banking, financial services & insurance (BFSI). She has led and delivered more than 100 consulting and research assignments for global clients, including Microsoft, Oracle, NEC Corporation, SAP, KPMG, and Expeditors International. Her expertise includes market assessment, data analysis, forecasting, strategy formulation, competitive intelligence, and report writing.

Ankita manages the complete project lifecycle, from pre-sales proposal development and client discussions to research execution and delivery of actionable insights. She has experience leading cross-functional teams, structuring complex research assignments, and aligning recommendations with clients’ business objectives. Her communication, leadership, and presentation skills help translate research findings into clear insights that support informed business decisions.

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