Asia-Pacific AI in Computer Vision Market to Grow at a CAGR of 49.8% to reach US$ 27,754.01 Mn Million from 2019 to 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)

  • Report Code : TIPRE00022087
  • Category : Technology, Media and Telecommunications
  • Status : Published
  • No. of Pages : 138
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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

  • Sample PDF showcases the content structure and the nature of the information with qualitative and quantitative analysis.

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
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

Component and End-User

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

Australia, China, Japan, South Korea

The List of Companies - Asia Pacific AI in Computer Vision Market

  1. 1.6 Xilinx, Inc.
  2. Allied Vision Technologies GmbH
  3. Basler AG
  4. Cognex Corporation
  5. General Electric Company
  6. Intel Corporation
  7. Microsoft Corporation
  8. Nvidia Corporation
  9. Qualcomm Incorporated
  10. Teledyne Technologies, Inc.

The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published many reports and advised several clients across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organizations are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in the last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/Sales Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • 3.1 Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • 3.2 Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • 3.3 Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • 3.4 Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.

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