
The global AI-based Visual Inspection Software market was valued at US$ 604 million in 2023 and is anticipated to reach US$ 1338.9 million by 2030, witnessing a CAGR of 13.6% during the forecast period 2024-2030.
The artificial intelligence visual inspection software market trend is developing rapidly and is expected to continue its strong growth momentum in the next few years. This trend is mainly driven by the rapid development and widespread application of artificial intelligence technology, in which advances in technologies such as deep learning and computer vision provide more opportunities for the development of the visual inspection market.
Taking the manufacturing industry as an example, artificial intelligence visual inspection technology plays an increasingly important role in product quality inspection. Through artificial intelligence visual inspection systems, manufacturers can quickly and accurately detect product defects, contaminants or other anomalies, thereby improving production efficiency and product quality. In addition, artificial intelligence visual detection technology can also be applied to security monitoring, intelligent transportation, retail and other fields to help enterprises and institutions improve safety, efficiency and user experience.
This report aims to provide a comprehensive presentation of the global market for AI-based Visual Inspection Software, 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-based Visual Inspection Software.
Report Scope
The AI-based Visual Inspection Software market size, estimations, and forecasts are provided in terms of 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-based Visual Inspection Software 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-based Visual Inspection Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price 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
ScienceSoft
Radiant Vision Systems
ATS Global
Rohde & Schwarz
Cognex
Zoyen Intelligent
METTLER TOLEDO
Teledyne DALSA
FARO
Lumiform
3DUniversum
PEKAT Vision
Neurala
Craftworks GmbH
Segment by Type
Cloud-Based
On-Premised
Segment by Application
Automotive
Medical Devices
General Manufacturing
Consumer Electronics
Other
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
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-based Visual Inspection Software companies’ 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 AI-based Visual Inspection Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud-Based
1.2.3 On-Premised
1.3 Market by Application
1.3.1 Global AI-based Visual Inspection Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Automotive
1.3.3 Medical Devices
1.3.4 General Manufacturing
1.3.5 Consumer Electronics
1.3.6 Other
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global AI-based Visual Inspection Software Market Perspective (2019-2030)
2.2 AI-based Visual Inspection Software Growth Trends by Region
2.2.1 Global AI-based Visual Inspection Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 AI-based Visual Inspection Software Historic Market Size by Region (2019-2024)
2.2.3 AI-based Visual Inspection Software Forecasted Market Size by Region (2025-2030)
2.3 AI-based Visual Inspection Software Market Dynamics
2.3.1 AI-based Visual Inspection Software Industry Trends
2.3.2 AI-based Visual Inspection Software Market Drivers
2.3.3 AI-based Visual Inspection Software Market Challenges
2.3.4 AI-based Visual Inspection Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top AI-based Visual Inspection Software Players by Revenue
3.1.1 Global Top AI-based Visual Inspection Software Players by Revenue (2019-2024)
3.1.2 Global AI-based Visual Inspection Software Revenue Market Share by Players (2019-2024)
3.2 Global AI-based Visual Inspection Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by AI-based Visual Inspection Software Revenue
3.4 Global AI-based Visual Inspection Software Market Concentration Ratio
3.4.1 Global AI-based Visual Inspection Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by AI-based Visual Inspection Software Revenue in 2023
3.5 AI-based Visual Inspection Software Key Players Head office and Area Served
3.6 Key Players AI-based Visual Inspection Software Product Solution and Service
3.7 Date of Enter into AI-based Visual Inspection Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 AI-based Visual Inspection Software Breakdown Data by Type
4.1 Global AI-based Visual Inspection Software Historic Market Size by Type (2019-2024)
4.2 Global AI-based Visual Inspection Software Forecasted Market Size by Type (2025-2030)
5 AI-based Visual Inspection Software Breakdown Data by Application
5.1 Global AI-based Visual Inspection Software Historic Market Size by Application (2019-2024)
5.2 Global AI-based Visual Inspection Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America AI-based Visual Inspection Software Market Size (2019-2030)
6.2 North America AI-based Visual Inspection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America AI-based Visual Inspection Software Market Size by Country (2019-2024)
6.4 North America AI-based Visual Inspection Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe AI-based Visual Inspection Software Market Size (2019-2030)
7.2 Europe AI-based Visual Inspection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe AI-based Visual Inspection Software Market Size by Country (2019-2024)
7.4 Europe AI-based Visual Inspection Software Market 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-based Visual Inspection Software Market Size (2019-2030)
8.2 Asia-Pacific AI-based Visual Inspection Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific AI-based Visual Inspection Software Market Size by Region (2019-2024)
8.4 Asia-Pacific AI-based Visual Inspection Software Market 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-based Visual Inspection Software Market Size (2019-2030)
9.2 Latin America AI-based Visual Inspection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America AI-based Visual Inspection Software Market Size by Country (2019-2024)
9.4 Latin America AI-based Visual Inspection Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa AI-based Visual Inspection Software Market Size (2019-2030)
10.2 Middle East & Africa AI-based Visual Inspection Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa AI-based Visual Inspection Software Market Size by Country (2019-2024)
10.4 Middle East & Africa AI-based Visual Inspection Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 ScienceSoft
11.1.1 ScienceSoft Company Detail
11.1.2 ScienceSoft Business Overview
11.1.3 ScienceSoft AI-based Visual Inspection Software Introduction
11.1.4 ScienceSoft Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.1.5 ScienceSoft Recent Development
11.2 Radiant Vision Systems
11.2.1 Radiant Vision Systems Company Detail
11.2.2 Radiant Vision Systems Business Overview
11.2.3 Radiant Vision Systems AI-based Visual Inspection Software Introduction
11.2.4 Radiant Vision Systems Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.2.5 Radiant Vision Systems Recent Development
11.3 ATS Global
11.3.1 ATS Global Company Detail
11.3.2 ATS Global Business Overview
11.3.3 ATS Global AI-based Visual Inspection Software Introduction
11.3.4 ATS Global Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.3.5 ATS Global Recent Development
11.4 Rohde & Schwarz
11.4.1 Rohde & Schwarz Company Detail
11.4.2 Rohde & Schwarz Business Overview
11.4.3 Rohde & Schwarz AI-based Visual Inspection Software Introduction
11.4.4 Rohde & Schwarz Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.4.5 Rohde & Schwarz Recent Development
11.5 Cognex
11.5.1 Cognex Company Detail
11.5.2 Cognex Business Overview
11.5.3 Cognex AI-based Visual Inspection Software Introduction
11.5.4 Cognex Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.5.5 Cognex Recent Development
11.6 Zoyen Intelligent
11.6.1 Zoyen Intelligent Company Detail
11.6.2 Zoyen Intelligent Business Overview
11.6.3 Zoyen Intelligent AI-based Visual Inspection Software Introduction
11.6.4 Zoyen Intelligent Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.6.5 Zoyen Intelligent Recent Development
11.7 METTLER TOLEDO
11.7.1 METTLER TOLEDO Company Detail
11.7.2 METTLER TOLEDO Business Overview
11.7.3 METTLER TOLEDO AI-based Visual Inspection Software Introduction
11.7.4 METTLER TOLEDO Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.7.5 METTLER TOLEDO Recent Development
11.8 Teledyne DALSA
11.8.1 Teledyne DALSA Company Detail
11.8.2 Teledyne DALSA Business Overview
11.8.3 Teledyne DALSA AI-based Visual Inspection Software Introduction
11.8.4 Teledyne DALSA Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.8.5 Teledyne DALSA Recent Development
11.9 FARO
11.9.1 FARO Company Detail
11.9.2 FARO Business Overview
11.9.3 FARO AI-based Visual Inspection Software Introduction
11.9.4 FARO Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.9.5 FARO Recent Development
11.10 Lumiform
11.10.1 Lumiform Company Detail
11.10.2 Lumiform Business Overview
11.10.3 Lumiform AI-based Visual Inspection Software Introduction
11.10.4 Lumiform Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.10.5 Lumiform Recent Development
11.11 3DUniversum
11.11.1 3DUniversum Company Detail
11.11.2 3DUniversum Business Overview
11.11.3 3DUniversum AI-based Visual Inspection Software Introduction
11.11.4 3DUniversum Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.11.5 3DUniversum Recent Development
11.12 PEKAT Vision
11.12.1 PEKAT Vision Company Detail
11.12.2 PEKAT Vision Business Overview
11.12.3 PEKAT Vision AI-based Visual Inspection Software Introduction
11.12.4 PEKAT Vision Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.12.5 PEKAT Vision Recent Development
11.13 Neurala
11.13.1 Neurala Company Detail
11.13.2 Neurala Business Overview
11.13.3 Neurala AI-based Visual Inspection Software Introduction
11.13.4 Neurala Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.13.5 Neurala Recent Development
11.14 Craftworks GmbH
11.14.1 Craftworks GmbH Company Detail
11.14.2 Craftworks GmbH Business Overview
11.14.3 Craftworks GmbH AI-based Visual Inspection Software Introduction
11.14.4 Craftworks GmbH Revenue in AI-based Visual Inspection Software Business (2019-2024)
11.14.5 Craftworks GmbH Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
ScienceSoft
Radiant Vision Systems
ATS Global
Rohde & Schwarz
Cognex
Zoyen Intelligent
METTLER TOLEDO
Teledyne DALSA
FARO
Lumiform
3DUniversum
PEKAT Vision
Neurala
Craftworks GmbH
Ìý
Ìý
*If Applicable.
