Deep Learning in Machine Vision Market, Global Outlook and Forecast 2023-2029
With the rise of deep learning, more and more machine vision models are built on deep learning techniques, predominantly on convolutional neural networks. By building on convolutional neural networks, the accuracy and capabilities of deep learning based machine vision will improve as more data are gathered and used to train the model.
This report aims to provide a comprehensive presentation of the global market for Deep Learning in Machine Vision, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Deep Learning in Machine Vision. This report contains market size and forecasts of Deep Learning in Machine Vision in global, including the following market information:
Global Deep Learning in Machine Vision Market Revenue, 2018-2023, 2024-2029, ($ millions)
Global top five companies in 2022 (%)
The global Deep Learning in Machine Vision market was valued at US$ 187.5 million in 2022 and is projected to reach US$ 236.1 million by 2029, at a CAGR of 3.3% during the forecast period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
The U.S. Market is Estimated at $ Million in 2022, While China is to reach $ Million.
Hardware Segment to Reach $ Million by 2029, with a % CAGR in next six years.
The global key manufacturers of Deep Learning in Machine Vision include Cognex Corporation, MVTec Software GmbH, Cyth Systems, Inc, Qualitas Technologies Pvt Ltd, Intel, Industrial Vision Systems Ltd and ADLINK Technology Inc, etc. in 2022, the global top five players have a share approximately % in terms of revenue.
We surveyed the Deep Learning in Machine Vision companies, and industry experts on this industry, involving the revenue, demand, product type, recent developments and plans, industry trends, drivers, challenges, obstacles, and potential risks.
Total Market by Segment:
Global Deep Learning in Machine Vision Market, by Type, 2018-2023, 2024-2029 ($ millions)
Global Deep Learning in Machine Vision Market Segment Percentages, by Type, 2022 (%)
Hardware
Software
Global Deep Learning in Machine Vision Market, by Application, 2018-2023, 2024-2029 ($ millions)
Global Deep Learning in Machine Vision Market Segment Percentages, by Application, 2022 (%)
Automobile
Electronic
Food and Drink
Health Care
Aerospace and Defense
Others
Global Deep Learning in Machine Vision Market, By Region and Country, 2018-2023, 2024-2029 ($ Millions)
Global Deep Learning in Machine Vision Market Segment Percentages, By Region and Country, 2022 (%)
North America
US
Canada
Mexico
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Benelux
Rest of Europe
Asia
China
Japan
South Korea
Southeast Asia
India
Rest of Asia
South America
Brazil
Argentina
Rest of South America
Middle East & Africa
Turkey
Israel
Saudi Arabia
UAE
Rest of Middle East & Africa
Competitor Analysis
The report also provides analysis of leading market participants including:
Key companies Deep Learning in Machine Vision revenues in global market, 2018-2023 (estimated), ($ millions)
Key companies Deep Learning in Machine Vision revenues share in global market, 2022 (%)
Further, the report presents profiles of competitors in the market, key players include:
Cognex Corporation
MVTec Software GmbH
Cyth Systems, Inc
Qualitas Technologies Pvt Ltd
Intel
Industrial Vision Systems Ltd
ADLINK Technology Inc
Outline of Major Chapters:
Chapter 1: Introduces the definition of Deep Learning in Machine Vision, market overview.
Chapter 2: Global Deep Learning in Machine Vision market size in revenue.
Chapter 3: Detailed analysis of Deep Learning in Machine Vision company competitive landscape, revenue and market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: Sales of Deep Learning in Machine Vision in regional level and country level. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space of each country in the world.
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 8: The main points and conclusions of the report.
