AI (Artificial Intelligence) and machine vision are two closely related fields that are revolutionizing various industries by enabling machines to interpret and understand the visual world around them.
The global AI and Machine Vision market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of %during the forecast period 2024-2030.
North American market for AI and Machine Vision is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for AI and Machine Vision is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for AI and Machine Vision in Consumer Electronics is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of AI and Machine Vision include Intel, Nvidia, Qualcomm, Landing AI, SenseTime, OMRON, Verkada, Mech-Mind Robotics, Orbital Insight, OrCam, etc. In 2023, 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 AI and 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 AI and Machine Vision.
The AI and Machine Vision market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global AI and 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 AI and 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.
麻豆原创 Segmentation
By Company
Intel
Nvidia
Qualcomm
Landing AI
SenseTime
OMRON
Verkada
Mech-Mind Robotics
Orbital Insight
OrCam
COGNEX
IBM
PICVISA
Lytx
ADLINK
LUSTER LightTech
Hikrobot Technology
Tztek Technology
Jutze(Shanghai)Intelligent Technology
Segment by Type
Devices
Software
Segment by Application
Consumer Electronics
Automobile
Semiconductor
Medical
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 AI and 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.
Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.
1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global AI and Machine Vision 麻豆原创 Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Devices
1.2.3 Software
1.3 麻豆原创 by Application
1.3.1 Global AI and Machine Vision 麻豆原创 Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Consumer Electronics
1.3.3 Automobile
1.3.4 Semiconductor
1.3.5 Medical
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI and Machine Vision 麻豆原创 Perspective (2019-2030)
2.2 Global AI and Machine Vision Growth Trends by Region
2.2.1 Global AI and Machine Vision 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI and Machine Vision Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 AI and Machine Vision Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 AI and Machine Vision 麻豆原创 Dynamics
2.3.1 AI and Machine Vision Industry Trends
2.3.2 AI and Machine Vision 麻豆原创 Drivers
2.3.3 AI and Machine Vision 麻豆原创 Challenges
2.3.4 AI and Machine Vision 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI and Machine Vision Players by Revenue
3.1.1 Global Top AI and Machine Vision Players by Revenue (2019-2024)
3.1.2 Global AI and Machine Vision Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global AI and Machine Vision 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players Ranking by AI and Machine Vision Revenue
3.4 Global AI and Machine Vision 麻豆原创 Concentration Ratio
3.4.1 Global AI and Machine Vision 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI and Machine Vision Revenue in 2023
3.5 Global Key Players of AI and Machine Vision Head office and Area Served
3.6 Global Key Players of AI and Machine Vision, Product and Application
3.7 Global Key Players of AI and Machine Vision, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 AI and Machine Vision Breakdown Data by Type
4.1 Global AI and Machine Vision Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global AI and Machine Vision Forecasted 麻豆原创 Size by Type (2025-2030)
5 AI and Machine Vision Breakdown Data by Application
5.1 Global AI and Machine Vision Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global AI and Machine Vision Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America AI and Machine Vision 麻豆原创 Size (2019-2030)
6.2 North America AI and Machine Vision 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI and Machine Vision 麻豆原创 Size by Country (2019-2024)
6.4 North America AI and Machine Vision 麻豆原创 Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI and Machine Vision 麻豆原创 Size (2019-2030)
7.2 Europe AI and Machine Vision 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI and Machine Vision 麻豆原创 Size by Country (2019-2024)
7.4 Europe AI and Machine Vision 麻豆原创 Size by Country (2025-2030)
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 AI and Machine Vision 麻豆原创 Size (2019-2030)
8.2 Asia-Pacific AI and Machine Vision 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI and Machine Vision 麻豆原创 Size by Region (2019-2024)
8.4 Asia-Pacific AI and Machine Vision 麻豆原创 Size by Region (2025-2030)
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 AI and Machine Vision 麻豆原创 Size (2019-2030)
9.2 Latin America AI and Machine Vision 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI and Machine Vision 麻豆原创 Size by Country (2019-2024)
9.4 Latin America AI and Machine Vision 麻豆原创 Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI and Machine Vision 麻豆原创 Size (2019-2030)
10.2 Middle East & Africa AI and Machine Vision 麻豆原创 Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI and Machine Vision 麻豆原创 Size by Country (2019-2024)
10.4 Middle East & Africa AI and Machine Vision 麻豆原创 Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Intel
11.1.1 Intel Company Details
11.1.2 Intel Business Overview
11.1.3 Intel AI and Machine Vision Introduction
11.1.4 Intel Revenue in AI and Machine Vision Business (2019-2024)
11.1.5 Intel Recent Development
11.2 Nvidia
11.2.1 Nvidia Company Details
11.2.2 Nvidia Business Overview
11.2.3 Nvidia AI and Machine Vision Introduction
11.2.4 Nvidia Revenue in AI and Machine Vision Business (2019-2024)
11.2.5 Nvidia Recent Development
11.3 Qualcomm
11.3.1 Qualcomm Company Details
11.3.2 Qualcomm Business Overview
11.3.3 Qualcomm AI and Machine Vision Introduction
11.3.4 Qualcomm Revenue in AI and Machine Vision Business (2019-2024)
11.3.5 Qualcomm Recent Development
11.4 Landing AI
11.4.1 Landing AI Company Details
11.4.2 Landing AI Business Overview
11.4.3 Landing AI AI and Machine Vision Introduction
11.4.4 Landing AI Revenue in AI and Machine Vision Business (2019-2024)
11.4.5 Landing AI Recent Development
11.5 SenseTime
11.5.1 SenseTime Company Details
11.5.2 SenseTime Business Overview
11.5.3 SenseTime AI and Machine Vision Introduction
11.5.4 SenseTime Revenue in AI and Machine Vision Business (2019-2024)
11.5.5 SenseTime Recent Development
11.6 OMRON
11.6.1 OMRON Company Details
11.6.2 OMRON Business Overview
11.6.3 OMRON AI and Machine Vision Introduction
11.6.4 OMRON Revenue in AI and Machine Vision Business (2019-2024)
11.6.5 OMRON Recent Development
11.7 Verkada
11.7.1 Verkada Company Details
11.7.2 Verkada Business Overview
11.7.3 Verkada AI and Machine Vision Introduction
11.7.4 Verkada Revenue in AI and Machine Vision Business (2019-2024)
11.7.5 Verkada Recent Development
11.8 Mech-Mind Robotics
11.8.1 Mech-Mind Robotics Company Details
11.8.2 Mech-Mind Robotics Business Overview
11.8.3 Mech-Mind Robotics AI and Machine Vision Introduction
11.8.4 Mech-Mind Robotics Revenue in AI and Machine Vision Business (2019-2024)
11.8.5 Mech-Mind Robotics Recent Development
11.9 Orbital Insight
11.9.1 Orbital Insight Company Details
11.9.2 Orbital Insight Business Overview
11.9.3 Orbital Insight AI and Machine Vision Introduction
11.9.4 Orbital Insight Revenue in AI and Machine Vision Business (2019-2024)
11.9.5 Orbital Insight Recent Development
11.10 OrCam
11.10.1 OrCam Company Details
11.10.2 OrCam Business Overview
11.10.3 OrCam AI and Machine Vision Introduction
11.10.4 OrCam Revenue in AI and Machine Vision Business (2019-2024)
11.10.5 OrCam Recent Development
11.11 COGNEX
11.11.1 COGNEX Company Details
11.11.2 COGNEX Business Overview
11.11.3 COGNEX AI and Machine Vision Introduction
11.11.4 COGNEX Revenue in AI and Machine Vision Business (2019-2024)
11.11.5 COGNEX Recent Development
11.12 IBM
11.12.1 IBM Company Details
11.12.2 IBM Business Overview
11.12.3 IBM AI and Machine Vision Introduction
11.12.4 IBM Revenue in AI and Machine Vision Business (2019-2024)
11.12.5 IBM Recent Development
11.13 PICVISA
11.13.1 PICVISA Company Details
11.13.2 PICVISA Business Overview
11.13.3 PICVISA AI and Machine Vision Introduction
11.13.4 PICVISA Revenue in AI and Machine Vision Business (2019-2024)
11.13.5 PICVISA Recent Development
11.14 Lytx
11.14.1 Lytx Company Details
11.14.2 Lytx Business Overview
11.14.3 Lytx AI and Machine Vision Introduction
11.14.4 Lytx Revenue in AI and Machine Vision Business (2019-2024)
11.14.5 Lytx Recent Development
11.15 ADLINK
11.15.1 ADLINK Company Details
11.15.2 ADLINK Business Overview
11.15.3 ADLINK AI and Machine Vision Introduction
11.15.4 ADLINK Revenue in AI and Machine Vision Business (2019-2024)
11.15.5 ADLINK Recent Development
11.16 LUSTER LightTech
11.16.1 LUSTER LightTech Company Details
11.16.2 LUSTER LightTech Business Overview
11.16.3 LUSTER LightTech AI and Machine Vision Introduction
11.16.4 LUSTER LightTech Revenue in AI and Machine Vision Business (2019-2024)
11.16.5 LUSTER LightTech Recent Development
11.17 Hikrobot Technology
11.17.1 Hikrobot Technology Company Details
11.17.2 Hikrobot Technology Business Overview
11.17.3 Hikrobot Technology AI and Machine Vision Introduction
11.17.4 Hikrobot Technology Revenue in AI and Machine Vision Business (2019-2024)
11.17.5 Hikrobot Technology Recent Development
11.18 Tztek Technology
11.18.1 Tztek Technology Company Details
11.18.2 Tztek Technology Business Overview
11.18.3 Tztek Technology AI and Machine Vision Introduction
11.18.4 Tztek Technology Revenue in AI and Machine Vision Business (2019-2024)
11.18.5 Tztek Technology Recent Development
11.19 Jutze(Shanghai)Intelligent Technology
11.19.1 Jutze(Shanghai)Intelligent Technology Company Details
11.19.2 Jutze(Shanghai)Intelligent Technology Business Overview
11.19.3 Jutze(Shanghai)Intelligent Technology AI and Machine Vision Introduction
11.19.4 Jutze(Shanghai)Intelligent Technology Revenue in AI and Machine Vision Business (2019-2024)
11.19.5 Jutze(Shanghai)Intelligent Technology 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 麻豆原创 Size Estimation
13.1.1.3 麻豆原创 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
Intel
Nvidia
Qualcomm
Landing AI
SenseTime
OMRON
Verkada
Mech-Mind Robotics
Orbital Insight
OrCam
COGNEX
IBM
PICVISA
Lytx
ADLINK
LUSTER LightTech
Hikrobot Technology
Tztek Technology
Jutze(Shanghai)Intelligent Technology
听
听
*If Applicable.