Global AI Vision Inspection Market Research Report 2024
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global AI Vision Inspection Market Research Report 2024
AI Vision Inspection refers to the integration of artificial intelligence (AI) and computer vision technologies in quality control and visual inspection processes. It uses computer algorithms and machine learning models to analyze images or video feeds, identifying defects, anomalies, or specific features within products or materials. AI vision inspection systems are commonly used in manufacturing to enhance product quality, reduce defects, and automate inspection tasks.
According to MRA Research’s new survey, global AI Vision Inspection market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Vision Inspection market research.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2023. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2023, a year-on-year increase of 19.6%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI Vision Inspection market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Amazon Web Services
Autodesk
Cisco Systems
Craftworks
Deevio GmbH
elunic
General Electric Company
Google
Huawei
IBM
Intel
Kitov Systems
Landing AI™
Microsoft
Mitsubishi Electric Corporation
Mitutoyo
NEC Corporation
NVIDIA
Oracle
PROGRESS DataRPM
Robert Bosch GmbH
Salesforce
SAP SE
Siemens
Syntegon
Segment by Type
Software
Hardware
Product Defect Detection
Damage Detection
Corrosion Monitoring and Detection
Equipment Inventory Management
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI Vision Inspection report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source
According to MRA Research’s new survey, global AI Vision Inspection market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Influencing issues, such as economy environments, COVID-19 and Russia-Ukraine War, have led to great market fluctuations in the past few years and are considered comprehensively in the whole AI Vision Inspection market research.
As an important force driving a new round of scientific and technological revolution, artificial intelligence has been of national strategic importance. Many governments introduces polices and increase capital investment to support AI companies. The Digital Europe plan adopted by the European Union will allocate €9.2 billion on high-tech investments, such as supercomputing, artificial intelligence, and network security. In order to maintain its leading position, the United States will increase its investment in artificial intelligence research and development in non-defense fields, from US$1.6 billion to US$1.7 billion in 2023. According to the latest data released by IDC, global artificial intelligence revenue was US$432.8 billion in 2023, a year-on-year increase of 19.6%, including software, hardware and services.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global AI Vision Inspection market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
By Company
Amazon Web Services
Autodesk
Cisco Systems
Craftworks
Deevio GmbH
elunic
General Electric Company
Huawei
IBM
Intel
Kitov Systems
Landing AI™
Microsoft
Mitsubishi Electric Corporation
Mitutoyo
NEC Corporation
NVIDIA
Oracle
PROGRESS DataRPM
Robert Bosch GmbH
Salesforce
SAP SE
Siemens
Syntegon
Segment by Type
Software
Hardware
Segment by Application
Product Defect Detection
Damage Detection
Corrosion Monitoring and Detection
Equipment Inventory Management
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
The AI Vision Inspection report covers below items
Chapter 1Product Basic Information (Definition, Type and Application)
Chapter 2Global market size, regional market size. Market Opportunities and Challenges
Chapter 3Companies’ Competition Patterns
Chapter 4Product Type Analysis
Chapter 5Product Application Analysis
Chapter 6 to 10Country Level Value Analysis
Chapter 11Companies' Outline
Chapter 12Market Conclusions
Chapter 13Research Methodology and Data Source