Artificial Intelligence (AI) visual inspection systems are advanced technologies that use machine learning, computer vision and deep learning algorithms to automatically analyze images or video streams for detecting defects, irregularities, or deviations in products and processes. These systems are integrated with cameras, sensors and software to provide high-speed, accurate and consistent inspection across industries. The primary purpose of AI visual inspection systems is to improve quality control, reduce errors and enhance efficiency in manufacturing and service operations.
The global artificial intelligence (AI) visual inspection system market reached a value of nearly $24,105.52 million in 2024, having grown at a compound annual growth rate (CAGR) of 22.20% since 2019. The market is expected to grow from $24,105.52 million in 2024 to $69,063.34 million in 2029 at a rate of 23.43%. The market is then expected to grow at a CAGR of 22.92% from 2029 and reach $193,784.31 million in 2034.
Growth In Semiconductor Manufacturing
Growth in semiconductor manufacturing fueled the growth of the artificial intelligence (AI) visual inspection system market in the historic period. The growth of semiconductor manufacturing has boosted the demand for AI visual inspection systems, as these technologies enable precise defect detection, quality control and higher production yields. With rising complexity and miniaturization of semiconductor components, AI-driven inspection ensures efficiency, accuracy and cost reduction in manufacturing processes. For instance, in May 2024, the Semiconductor Industry Association (SIA), a US-based national trade association representing the semiconductor and microchip industries, reported that worldwide sales of semiconductors totaled $137.7 billion during the first quarter of 2024, marking a 15.2% increase compared to the first quarter of 2023. Therefore, growth in semiconductor manufacturing fueled the growth of the artificial intelligence (AI) visual inspection system market.
Development Of Cloud-Native AI Deployment
Major companies operating in the AI visual inspection system market are focusing on cloud-native AI deployment to enhance scalability, enable real-time data processing and support remote accessibility. By leveraging cloud-native architectures, these companies can deliver faster model updates, integrate seamlessly with enterprise IT systems and reduce on-premises infrastructure costs. For instance, in June 2025, Cognex, a U.S.-based industrial machine vision company, introduced OneVision, a cloud-based platform for AI-powered machine vision. The product offers an intuitive interface with guided workflows that "shorten setup time from months to minutes," reduces upfront hardware needs by delivering cloud-based training and management and supports deployment on existing In-Sight systems.
The global artificial intelligence (AI) visual inspection system market is fairly fragmented, with large number of small players operating in the market. The top 10 competitors in the market made up 18.25% of the total market in 2024.
Artificial Intelligence (AI) Visual Inspection System Global Market Opportunities And Strategies To 2034 from The Business Research Company provides the strategists; marketers and senior management with the critical information they need to assess the global artificial intelligence (AI) visual inspection system market as it emerges from the COVID-19 shut down.
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Where is the largest and fastest-growing market for artificial intelligence (AI) visual inspection system? How does the market relate to the overall economy; demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (AI) visual inspection system market global report from The Business Research Company answers all these questions and many more.
The report covers market characteristics; size and growth; segmentation; regional and country breakdowns; competitive landscape; market shares; trends and strategies for this market. It traces the market's history and forecasts market growth by geography. It places the market within the context of the wider artificial intelligence (AI) visual inspection system market; and compares it with other markets.
The report covers the following chapters
- Introduction And Market Characteristics- Brief introduction to the segmentations covered in the market, definitions and explanations about the segment by type, by component and by application.
- Key Trends- Highlights the major trends shaping the global market. This section also highlights likely future developments in the market.
- Growth Analysis And Strategic Analysis Framework- Analysis on PESTEL, end use industries, market growth rate, global historic (2019-2024) and forecast (2024-2029, 2034F) market values and drivers and restraints that support and control the growth of the market in the historic and forecast periods, forecast growth contributors and total addressable market (TAM).
- Regional And Country Analysis- Historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison by region and country.
- Market Segmentation- Contains the market values (2019-2024) (2024-2029, 2034F) and analysis for each segment by type, by robot type, by application and by industry in the market. Historic (2019-2024) and forecast (2024-2029) and (2029-2034) market values and growth and market share comparison by region market.
- Regional Market Size And Growth- Regional market size (2024), historic (2019-2024) and forecast (2024-2029, 2034F) market values and growth and market share comparison of countries within the region. This report includes information on all the regions Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa and major countries within each region.
- Competitive Landscape- Details on the competitive landscape of the market, estimated market shares and company profiles of the leading players.
- Other Major And Innovative Companies- Details on the company profiles of other major and innovative companies in the market.
- Competitive Benchmarking- Briefs on the financials comparison between major players in the market.
- Competitive Dashboard- Briefs on competitive dashboard of major players.
- Key Mergers And Acquisitions- Information on recent mergers and acquisitions in the market covered in the report. This section gives key financial details of mergers and acquisitions, which have shaped the market in recent years.
- Recent Developments- Information on recent developments in the market covered in the report.
- Market Opportunities And Strategies- Describes market opportunities and strategies based on findings of the research, with information on growth opportunities across countries, segments and strategies to be followed in those markets.
- Conclusions And Recommendations- This section includes recommendations for artificial intelligence (AI) visual inspection system providers in terms of product/service offerings geographic expansion, marketing strategies and target groups.
- Appendix- This section includes details on the NAICS codes covered, abbreviations and currencies codes used in this report
Markets Covered:
- 1) By Type: Deep Learning Model; Pre-Trained Model; Other Types
- 2) By Component: Hardware; Software; Services
- 3) By Application: Industrial; Medical Treatment; Semiconductor; Rail Transit; Other Applications
- Companies Mentioned: Keyence Corporation; Cognex Corporation; Teledyne Technologies Incorporated; Siemens AG; Omron Corporation
- Countries: China; Australia; India; Indonesia; Japan; South Korea; USA; Canada; Brazil; France; Germany; UK; Italy; Spain; Russia
- Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
- Time-series: Five years historic and ten years forecast.
- Data: Ratios of market size and growth to related markets; GDP proportions; expenditure per capita; artificial intelligence (AI) visual inspection system indicators comparison.
- Data segmentations: country and regional historic and forecast data; market share of competitors; market segments.
- Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.