
The global market for Deep Learning in Machine Vision was valued at US$ 432 million in the year 2024 and is projected to reach a revised size of US$ 8710 million by 2031, growing at a CAGR of 54.4% during the forecast period.
North American market for Deep Learning in Machine Vision is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
Asia-Pacific market for Deep Learning in Machine Vision is estimated to increase from $ million in 2024 to reach $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The global market for Deep Learning in Machine Vision in Automobile is estimated to increase from $ million in 2024 to $ million by 2031, at a CAGR of % during the forecast period of 2025 through 2031.
The major global companies of Deep Learning in Machine Vision include IFLYTEK, NavInfo, NVIDIA, Qualcomm, Intel, Beijing Megvii, 4Paradigm, etc. In 2024, the world's top three vendors accounted for approximately % of the revenue.
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.
The Deep Learning in Machine Vision market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2024 as the base year, with history and forecast data for the period from 2020 to 2031. This report segments the global Deep Learning in Machine Vision market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Deep Learning in Machine Vision companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IFLYTEK
NavInfo
NVIDIA
Qualcomm
Intel
Beijing Megvii
4Paradigm
Segment by Type
Hardware
Software
Segment by Application
Automobile
Electronic
Food and Drink
Health Care
Aerospace and Defense
Others
By Region
North America
United States
Canada
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Rest of Europe
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Deep Learning in Machine Vision company competitive landscape, revenue 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, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. 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, and capacity of each country in the world.
Chapter 11: 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 12: The main points and conclusions of the report.
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1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Deep Learning in Machine Vision Market Size Growth Rate by Type: 2020 VS 2024 VS 2031
1.2.2 Hardware
1.2.3 Software
1.3 Market by Application
1.3.1 Global Deep Learning in Machine Vision Market Growth by Application: 2020 VS 2024 VS 2031
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 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Deep Learning in Machine Vision Market Perspective (2020-2031)
2.2 Global Deep Learning in Machine Vision Growth Trends by Region
2.2.1 Global Deep Learning in Machine Vision Market Size by Region: 2020 VS 2024 VS 2031
2.2.2 Deep Learning in Machine Vision Historic Market Size by Region (2020-2025)
2.2.3 Deep Learning in Machine Vision Forecasted Market Size by Region (2026-2031)
2.3 Deep Learning in Machine Vision Market Dynamics
2.3.1 Deep Learning in Machine Vision Industry Trends
2.3.2 Deep Learning in Machine Vision Market Drivers
2.3.3 Deep Learning in Machine Vision Market Challenges
2.3.4 Deep Learning in Machine Vision Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Deep Learning in Machine Vision Players by Revenue
3.1.1 Global Top Deep Learning in Machine Vision Players by Revenue (2020-2025)
3.1.2 Global Deep Learning in Machine Vision Revenue Market Share by Players (2020-2025)
3.2 Global Deep Learning in Machine Vision Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by Deep Learning in Machine Vision Revenue
3.4 Global Deep Learning in Machine Vision Market Concentration Ratio
3.4.1 Global Deep Learning in Machine Vision Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Deep Learning in Machine Vision Revenue in 2024
3.5 Global Key Players of Deep Learning in Machine Vision Head office and Area Served
3.6 Global Key Players of Deep Learning in Machine Vision, Product and Application
3.7 Global Key Players of Deep Learning in Machine Vision, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Deep Learning in Machine Vision Breakdown Data by Type
4.1 Global Deep Learning in Machine Vision Historic Market Size by Type (2020-2025)
4.2 Global Deep Learning in Machine Vision Forecasted Market Size by Type (2026-2031)
5 Deep Learning in Machine Vision Breakdown Data by Application
5.1 Global Deep Learning in Machine Vision Historic Market Size by Application (2020-2025)
5.2 Global Deep Learning in Machine Vision Forecasted Market Size by Application (2026-2031)
6 North America
6.1 North America Deep Learning in Machine Vision Market Size (2020-2031)
6.2 North America Deep Learning in Machine Vision Market Growth Rate by Country: 2020 VS 2024 VS 2031
6.3 North America Deep Learning in Machine Vision Market Size by Country (2020-2025)
6.4 North America Deep Learning in Machine Vision Market Size by Country (2026-2031)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Deep Learning in Machine Vision Market Size (2020-2031)
7.2 Europe Deep Learning in Machine Vision Market Growth Rate by Country: 2020 VS 2024 VS 2031
7.3 Europe Deep Learning in Machine Vision Market Size by Country (2020-2025)
7.4 Europe Deep Learning in Machine Vision Market Size by Country (2026-2031)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Deep Learning in Machine Vision Market Size (2020-2031)
8.2 Asia-Pacific Deep Learning in Machine Vision Market Growth Rate by Region: 2020 VS 2024 VS 2031
8.3 Asia-Pacific Deep Learning in Machine Vision Market Size by Region (2020-2025)
8.4 Asia-Pacific Deep Learning in Machine Vision Market Size by Region (2026-2031)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Deep Learning in Machine Vision Market Size (2020-2031)
9.2 Latin America Deep Learning in Machine Vision Market Growth Rate by Country: 2020 VS 2024 VS 2031
9.3 Latin America Deep Learning in Machine Vision Market Size by Country (2020-2025)
9.4 Latin America Deep Learning in Machine Vision Market Size by Country (2026-2031)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Deep Learning in Machine Vision Market Size (2020-2031)
10.2 Middle East & Africa Deep Learning in Machine Vision Market Growth Rate by Country: 2020 VS 2024 VS 2031
10.3 Middle East & Africa Deep Learning in Machine Vision Market Size by Country (2020-2025)
10.4 Middle East & Africa Deep Learning in Machine Vision Market Size by Country (2026-2031)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IFLYTEK
11.1.1 IFLYTEK Company Details
11.1.2 IFLYTEK Business Overview
11.1.3 IFLYTEK Deep Learning in Machine Vision Introduction
11.1.4 IFLYTEK Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.1.5 IFLYTEK Recent Development
11.2 NavInfo
11.2.1 NavInfo Company Details
11.2.2 NavInfo Business Overview
11.2.3 NavInfo Deep Learning in Machine Vision Introduction
11.2.4 NavInfo Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.2.5 NavInfo Recent Development
11.3 NVIDIA
11.3.1 NVIDIA Company Details
11.3.2 NVIDIA Business Overview
11.3.3 NVIDIA Deep Learning in Machine Vision Introduction
11.3.4 NVIDIA Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.3.5 NVIDIA Recent Development
11.4 Qualcomm
11.4.1 Qualcomm Company Details
11.4.2 Qualcomm Business Overview
11.4.3 Qualcomm Deep Learning in Machine Vision Introduction
11.4.4 Qualcomm Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.4.5 Qualcomm Recent Development
11.5 Intel
11.5.1 Intel Company Details
11.5.2 Intel Business Overview
11.5.3 Intel Deep Learning in Machine Vision Introduction
11.5.4 Intel Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.5.5 Intel Recent Development
11.6 Beijing Megvii
11.6.1 Beijing Megvii Company Details
11.6.2 Beijing Megvii Business Overview
11.6.3 Beijing Megvii Deep Learning in Machine Vision Introduction
11.6.4 Beijing Megvii Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.6.5 Beijing Megvii Recent Development
11.7 4Paradigm
11.7.1 4Paradigm Company Details
11.7.2 4Paradigm Business Overview
11.7.3 4Paradigm Deep Learning in Machine Vision Introduction
11.7.4 4Paradigm Revenue in Deep Learning in Machine Vision Business (2020-2025)
11.7.5 4Paradigm Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.1.1 Research Programs/Design
13.1.1.2 Market Size Estimation
13.1.1.3 Market Breakdown and Data Triangulation
13.1.2 Data Source
13.1.2.1 Secondary Sources
13.1.2.2 Primary Sources
13.2 Author Details
13.3 Disclaimer
IFLYTEK
NavInfo
NVIDIA
Qualcomm
Intel
Beijing Megvii
4Paradigm
Ìý
Ìý
*If Applicable.
