Global Deep Learning in Machine Vision Competitive Landscape Professional Research Report 2024
Research Summary
Deep learning in machine vision refers to the application of deep neural networks to process and interpret visual information from images or videos. It is a subset of artificial intelligence and computer vision that focuses on training complex models to automatically learn and recognize patterns, features, and objects within visual data. Deep learning algorithms, such as convolutional neural networks (CNNs), are particularly effective in image recognition tasks because they can learn hierarchical representations from raw pixel data, enabling them to discern intricate features and detect objects with high accuracy. Machine vision systems powered by deep learning are used in a wide range of applications, including object detection, image classification, facial recognition, quality control in manufacturing, autonomous vehicles, medical imaging, and surveillance. Deep learning in machine vision has revolutionized the way computers perceive and understand visual information, leading to significant advancements in various industries and enhancing the capabilities of automated visual inspection and analysis systems.
According to DIResearch's in-depth investigation and research, the global Deep Learning in Machine Vision market size will reach XX US$ Million in 2024, and is expected to reach XX US$ Million in 2030, with a CAGR of XX% (2025-2030). Among them, the China market has changed rapidly in the past few years. The market size in 2024 will be XX US$ Million, accounting for approximately XX% of the world. It is expected to reach XX US$ Million in 2030, and the global share will reach XX%.
The major global manufacturers of Deep Learning in Machine Vision include IFLYTEK, NavInfo, NVIDIA, Qualcomm, Intel, Beijing Megvii, 4Paradigm etc. The global players competition landscape in this report is divided into three tiers. The first tiers is the global leading enterprise, which occupies a major market share, is in a leading position in the industry, has strong competitiveness and influence, and has a large revenue scale; the second tiers has a certain share and popularity in the market, actively follows the industry leaders in product, service or technological innovation, and has a medium revenue scale; the third tiers has a smaller share in the market, has a lower brand awareness, mainly focuses on the local market, and has a relatively small revenue scale.
This report studies the market size, price trends and future development prospects of Deep Learning in Machine Vision. Focus on analysing the market share, product portfolio, revenue and gross profit margin of global major manufacturers, as well as the market status and trends of different product types and applications in the global Deep Learning in Machine Vision market. The report data covers historical data from 2019 to 2023, base year in 2024 and forecast data from 2025 to 2030.
The regions and countries in the report include North America, Europe, China, APAC (excl. China), Latin America and Middle East and Africa, covering the Deep Learning in Machine Vision market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Deep Learning in Machine Vision industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Manufacturers of Deep Learning in Machine Vision Include:
IFLYTEK
NavInfo
NVIDIA
Qualcomm
Intel
Beijing Megvii
4Paradigm
Deep Learning in Machine Vision Product Segment Include:
Hardware
Software
Deep Learning in Machine Vision Product Application Include:
Automobile
Electronic
Food and Drink
Health Care
Aerospace and Defense
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trends
Chapter 2: Global Deep Learning in Machine Vision Industry PESTEL Analysis
Chapter 3: Global Deep Learning in Machine Vision Industry Porter’s Five Forces Analysis
Chapter 4: Global Deep Learning in Machine Vision Major Regional Market Size and Forecast Analysis
Chapter 5: Global Deep Learning in Machine Vision Market Size and Forecast by Type and Application Analysis
Chapter 6: North America Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 7: Europe Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 8: China Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 9: APAC (Excl. China) Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 10: Latin America Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 11: Middle East and Africa Deep Learning in Machine Vision Competitive Analysis (Market Size, Key Players and Market Share, Product Type and Application Segment Analysis, Countries Analysis)
Chapter 12: Global Deep Learning in Machine Vision Competitive Analysis of Key Manufacturers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 13: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 14: Industrial Chain Analysis, Include Raw Material Suppliers, Distributors and Customers
Chapter 15: Research Findings and Conclusion
Chapter 16: Methodology and Data Sources
- 1 Deep Learning in Machine Vision Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Deep Learning in Machine Vision Product by Type
- 1.2.1 Global Deep Learning in Machine Vision Market Size by Type, 2023 VS 2024 VS 2030
- 1.2.2 Hardware
- 1.2.3 Software
- 1.3 Deep Learning in Machine Vision Product by Application
- 1.3.1 Global Deep Learning in Machine Vision Market Size by Application, 2023 VS 2024 VS 2030
- 1.3.2 Automobile
- 1.3.3 Electronic
- 1.3.4 Food and Drink
- 1.3.5 Health Care
- 1.3.6 Aerospace and Defense
- 1.3.7 Others
- 1.4 Global Deep Learning in Machine Vision Market Revenue Analysis (2019-2030)
- 1.5 Deep Learning in Machine Vision Market Development Status and Trends
- 1.5.1 Deep Learning in Machine Vision Industry Development Status Analysis
- 1.5.2 Deep Learning in Machine Vision Industry Development Trends Analysis
- 2 Deep Learning in Machine Vision Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Deep Learning in Machine Vision Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Deep Learning in Machine Vision Market Analysis by Regions
- 4.1 Deep Learning in Machine Vision Overall Market: 2023 VS 2024 VS 2030
- 4.2 Global Deep Learning in Machine Vision Revenue and Forecast Analysis (2019-2030)
- 4.2.1 Global Deep Learning in Machine Vision Revenue and Market Share by Region (2019-2024)
- 4.2.2 Global Deep Learning in Machine Vision Revenue Forecast by Region (2025-2030)
- 5 Global Deep Learning in Machine Vision Market Size by Type and Application
- 5.1 Global Deep Learning in Machine Vision Market Size by Type
- 5.2 Global Deep Learning in Machine Vision Market Size by Application
- 6 North America
- 6.1 North America Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 6.2 North America Key Manufacturers Analysis
- 6.3 North America Deep Learning in Machine Vision Market Size by Type
- 6.4 North America Deep Learning in Machine Vision Market Size by Application
- 6.5 North America Deep Learning in Machine Vision Market Size by Country
- 6.5.1 US
- 6.5.2 Canada
- 7 Europe
- 7.1 Europe Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 7.2 Europe Key Manufacturers Analysis
- 7.3 Europe Deep Learning in Machine Vision Market Size by Type
- 7.4 Europe Deep Learning in Machine Vision Market Size by Application
- 7.5 Europe Deep Learning in Machine Vision Market Size by Country
- 7.5.1 Germany
- 7.5.2 France
- 7.5.3 United Kingdom
- 7.5.4 Italy
- 7.5.5 Spain
- 7.5.6 Benelux
- 8 China
- 8.1 China Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 8.2 China Key Manufacturers Analysis
- 8.3 China Deep Learning in Machine Vision Market Size by Type
- 8.4 China Deep Learning in Machine Vision Market Size by Application
- 9 APAC (excl. China)
- 9.1 APAC (excl. China) Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 9.2 APAC (excl. China) Key Manufacturers Analysis
- 9.3 APAC (excl. China) Deep Learning in Machine Vision Market Size by Type
- 9.4 APAC (excl. China) Deep Learning in Machine Vision Market Size by Application
- 9.5 APAC (excl. China) Deep Learning in Machine Vision Market Size by Country
- 9.5.1 Japan
- 9.5.2 South Korea
- 9.5.3 India
- 9.5.4 Australia
- 9.5.5 Indonesia
- 9.5.6 Vietnam
- 9.5.7 Malaysia
- 9.5.8 Thailand
- 10 Latin America
- 10.1 Latin America Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 10.2 Latin America Key Manufacturers Analysis
- 10.3 Latin America Deep Learning in Machine Vision Market Size by Type
- 10.4 Latin America Deep Learning in Machine Vision Market Size by Application
- 10.5 Latin America Deep Learning in Machine Vision Market Size by Country
- 10.5.1 Mecixo
- 10.5.2 Brazil
- 11 Middle East & Africa
- 11.1 Middle East & Africa Deep Learning in Machine Vision Market Size and Growth Rate Analysis (2019-2030)
- 11.2 Middle East & Africa Key Manufacturers Analysis
- 11.3 Middle East & Africa Deep Learning in Machine Vision Market Size by Type
- 11.4 Middle East & Africa Deep Learning in Machine Vision Market Size by Application
- 11.5 Middle East & Africa Deep Learning in Machine Vision Market Size by Country
- 11.5.1 Saudi Arabia
- 11.5.2 South Africa
- 12 Market Competition by Manufacturers
- 12.1 Global Deep Learning in Machine Vision Market Revenue by Key Manufacturers (2020-2024)
- 12.2 Deep Learning in Machine Vision Competitive Landscape Analysis and Market Dynamic
- 12.2.1 Deep Learning in Machine Vision Competitive Landscape Analysis
- 12.2.2 Global Key Manufacturers Headquarter and Key Area Sales
- 12.2.3 Market Dynamic
- 13 Key Companies Analysis
- 13.1 IFLYTEK
- 13.1.1 IFLYTEK Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.1.2 IFLYTEK Deep Learning in Machine Vision Product Portfolio
- 13.1.3 IFLYTEK Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.2 NavInfo
- 13.2.1 NavInfo Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.2.2 NavInfo Deep Learning in Machine Vision Product Portfolio
- 13.2.3 NavInfo Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.3 NVIDIA
- 13.3.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.3.2 NVIDIA Deep Learning in Machine Vision Product Portfolio
- 13.3.3 NVIDIA Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.4 Qualcomm
- 13.4.1 Qualcomm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.4.2 Qualcomm Deep Learning in Machine Vision Product Portfolio
- 13.4.3 Qualcomm Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.5 Intel
- 13.5.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.5.2 Intel Deep Learning in Machine Vision Product Portfolio
- 13.5.3 Intel Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.6 Beijing Megvii
- 13.6.1 Beijing Megvii Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.6.2 Beijing Megvii Deep Learning in Machine Vision Product Portfolio
- 13.6.3 Beijing Megvii Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 13.7 4Paradigm
- 13.7.1 4Paradigm Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 13.7.2 4Paradigm Deep Learning in Machine Vision Product Portfolio
- 13.7.3 4Paradigm Deep Learning in Machine Vision Market Data Analysis (Revenue, Gross Margin and Market Share) (2020-2024)
- 14 Industry Chain Analysis
- 14.1 Deep Learning in Machine Vision Industry Chain Analysis
- 14.2 Deep Learning in Machine Vision Industry Raw Material and Suppliers Analysis
- 14.2.1 Upstream Key Raw Material Supply Analysis
- 14.2.2 Raw Material Suppliers and Contact Information
- 14.3 Deep Learning in Machine Vision Typical Downstream Customers
- 14.4 Deep Learning in Machine Vision Sales Channel Analysis
- 15 Research Findings and Conclusion
- 16 Methodology and Data Source
- 16.1 Methodology/Research Approach
- 16.2 Research Scope
- 16.3 Benchmarks and Assumptions
- 16.4 Date Source
- 16.4.1 Primary Sources
- 16.4.2 Secondary Sources
- 16.5 Data Cross Validation
- 16.6 Disclaimer
Research Assistance
Download our eBook: How to Succeed Using Market Research
Learn how to effectively navigate the market research process to help guide your organization on the journey to success.
Download eBook