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Global Computer Vision Recognition Market 2023 by Company, Regions, Type and Application, Forecast to 2029

SKU ID : GIR-22320644 | Publishing Date : 11-Jan-2023 | No. of pages : 102

Computer vision recognition focuses on dynamic and static image recognition and face recognition. The application scenarios of computer vision are diversified, including user face recognition login, face payment, intelligent claim settlement and other scenarios.

According to our Researcher latest study, the global Computer Vision Recognition market size was valued at USD million in 2022 and is forecast to a readjusted size of USD million by 2029 with a CAGR of % during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

This report is a detailed and comprehensive analysis for global Computer Vision Recognition market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:

Global Computer Vision Recognition market size and forecasts, in consumption value ($ Million), 2018-2029

Global Computer Vision Recognition market size and forecasts by region and country, in consumption value ($ Million), 2018-2029

Global Computer Vision Recognition market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029

Global Computer Vision Recognition market shares of main players, in revenue ($ Million), 2018-2023

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Computer Vision Recognition

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Computer Vision Recognition market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include SenseTime Group Inc., Beijing Megvii Technology Co., Ltd., Yuncong Technology Group Co., Ltd., Shanghai Yitu Network Technology Co., Ltd. and Beijing Haitian AAC Technology Co., Ltd., etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation



Computer Vision Recognition market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type

Image Identification

Face Recognition

Market segment by Application

Agriculture

Manufacturing

Retail

Medical Insurance

Autopilot

Other

Market segment by players, this report covers

SenseTime Group Inc.

Beijing Megvii Technology Co., Ltd.

Yuncong Technology Group Co., Ltd.

Shanghai Yitu Network Technology Co., Ltd.

Beijing Haitian AAC Technology Co., Ltd.

Alibaba Group

Beijing Geling Shentong Information Technology Co., Ltd.

Beijing Moshanghua Technology Co., Ltd.

Malong Technologies

Noitom Technology Ltd.

Quick Sensation Technology (Beijing) Co., Ltd.

Top Technology (Guangzhou) Co., Ltd.

Market segment by regions, regional analysis covers

North America (United States, Canada, and Mexico)

Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)

Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)

South America (Brazil, Argentina and Rest of South America)

Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Computer Vision Recognition product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Computer Vision Recognition, with revenue, gross margin and global market share of Computer Vision Recognition from 2018 to 2023.

Chapter 3, the Computer Vision Recognition competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Computer Vision Recognition market forecast, by regions, type and application, with consumption value, from 2024 to 2029.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War

Chapter 12, the key raw materials and key suppliers, and industry chain of Computer Vision Recognition.

Chapter 13, to describe Computer Vision Recognition research findings and conclusion.

Frequently Asked Questions

This market study covers the global and regional market with an in-depth analysis of the overall growth prospects in the market. Furthermore, it sheds light on the comprehensive competitive landscape of the global market. The report further offers a dashboard overview of leading companies encompassing their successful marketing strategies, market contribution, recent developments in both historic and present contexts.
  • By product type
  • By End User/Applications
  • By Technology
  • By Region
The report provides a detailed evaluation of the market by highlighting information on different aspects which include drivers, restraints, opportunities, and threats. This information can help stakeholders to make appropriate decisions before investing.

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