The artificial intelligence (AI) inspection market size is expected to see rapid growth in the next few years. It will grow to $63.81 billion in 2030 at a compound annual growth rate (CAGR) of 18.4%. The growth during the forecast period can be attributed to rising adoption of AI-powered inspection platforms, increasing demand for real-time defect analysis, growing integration of edge computing with inspection systems, expanding use of smart manufacturing technologies, and increasing focus on reducing production errors and operational costs. Major trends in the forecast period include rising adoption of automated defect detection solutions, increasing integration of AI-based vision inspection systems, growing demand for real-time quality monitoring in manufacturing, rising use of predictive analytics for improving inspection accuracy, and increasing deployment of AI inspection solutions to reduce dependency on manual inspection.
The increasing cybersecurity and data integrity requirements are expected to drive the growth of the artificial intelligence (AI) inspection market in the coming years. Cybersecurity and data integrity requirements refer to the practices, frameworks, and security measures adopted to safeguard digital systems, networks, and information from unauthorized access, cyberattacks, and data corruption while maintaining the accuracy, reliability, and consistency of data throughout its lifecycle. The growing volume of sensitive digital information is increasing cybersecurity and data integrity requirements, encouraging organizations to enhance protection against unauthorized access, security breaches, and data tampering. AI inspection solutions support organizations in addressing cybersecurity and data integrity requirements by continuously monitoring systems, detecting irregularities, identifying possible security threats, and maintaining the accuracy and reliability of operational data in real time. For instance, in January 2025, according to the Identity Theft Resource Center, a US-based nonprofit organization, data breach notifications reported in 2024 reached 1.3 billion, marking a 211% increase compared to 2023. Therefore, increasing cybersecurity and data integrity requirements are driving the growth of the artificial intelligence (AI) inspection market.
Major companies operating in the artificial intelligence (AI) inspection market are concentrating on developing advanced solutions, including industrial vision sensors, to enhance defect identification accuracy, optimize quality control processes, and improve manufacturing productivity. Industrial vision sensors are intelligent imaging devices that integrate artificial intelligence and machine vision technologies to automatically examine products, detect defects, and enable real-time decision-making within industrial environments. For instance, in September 2023, Sony Cognex Corporation, a US-based industrial machine vision company, introduced the In-Sight SnAPP, an industrial vision sensor solution developed for quality control applications such as presence or absence inspection, assembly verification, defect detection, and other automated inspection activities. The solution includes pretrained embedded AI capabilities, a web-based user interface that removes the need for software installation, and high-resolution imaging technology to enable faster deployment and efficient inspection operations across industrial manufacturing environments.
In July 2025, Wabtec Corporation, a US-based transportation and industrial technology company, acquired Evident Inspection Technologies for $1.78 billion. Through this acquisition, Wabtec aims to enhance its digital intelligence and industrial inspection portfolio by combining advanced non-destructive testing (NDT), remote visual inspection, and analytical instrumentation solutions, strengthening its capabilities in asset performance management, predictive maintenance, and AI-enabled industrial inspection across transportation, manufacturing, mining, and energy industries. Evident Inspection Technologies is a US-based provider of inspection solutions that incorporates advanced analytics, automation, and AI-driven capabilities.
Major companies operating in the artificial intelligence (ai) inspection market are ABB Ltd., Advantech Co. Ltd., AMETEK Inc., Basler AG, Bureau Veritas, Cognex Corporation, DNV, Emerson Electric Co., FANUC Corporation, Hexagon AB, Honeywell International Inc., Intertek Group plc, Keyence Corporation, Mitsubishi Electric Corporation, Nikon Corporation, Nordson Corporation, OMRON Corporation, Panasonic Connect Co. Ltd., Qualcomm Incorporated, Rockwell Automation Inc., SGS SA, SICK AG, Siemens Digital Industries Software Inc., Teledyne Technologies Incorporated, Teradyne Inc., TÜV SÜD, ViTrox Corporation Berhad, Zebra Technologies Corporation.
North America was the dominating region in the artificial intelligence (AI) inspection market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) inspection market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) inspection market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) Inspection Market Global Report 2026 provides strategists, marketers and senior management with the critical information they need to assess the market.This report focuses artificial intelligence (ai) inspection market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
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Description
Where is the largest and fastest growing market for artificial intelligence (ai) inspection? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) inspection market global report answers all these questions and many more.The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.
- The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
- The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
- The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
- The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
- The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
- The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
- The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
- The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
- Market segmentations break down the market into sub markets.
- The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
- Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
- The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
- The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.
Scope
Markets Covered:
1) By Component: Hardware; Software; Services2) By Service Delivery Mode: On Site; Hybrid; Remote
3) By Enterprise Size: Large Enterprises; Small And Medium Sized Enterprises
4) By End User: Manufacturing; Healthcare And Life Sciences; Energy And Utilities; Consumer Goods And Retail; Agriculture And Food; Information Technology And Telecommunication; Construction And Infrastructure; Transport And Logistics; Other End Users
Subsegments:
1) By Hardware: Cameras; Sensors; Lighting Systems; Frame Grabbers; Processing Units; Edge Devices2) By Software: Inspection Software; Machine Learning Software; Deep Learning Software; Data Analytics Software; Visualization Software; Quality Management Software
3) By Services: Consulting Services; Integration Services; Deployment Services; Training Services; Maintenance Services; Technical Support Services
Companies Mentioned: ABB Ltd.; Advantech Co. Ltd.; AMETEK Inc.; Basler AG; Bureau Veritas; Cognex Corporation; DNV; Emerson Electric Co.; FANUC Corporation; Hexagon AB; Honeywell International Inc.; Intertek Group plc; Keyence Corporation; Mitsubishi Electric Corporation; Nikon Corporation; Nordson Corporation; OMRON Corporation; Panasonic Connect Co. Ltd.; Qualcomm Incorporated; Rockwell Automation Inc.; SGS SA; SICK AG; Siemens Digital Industries Software Inc.; Teledyne Technologies Incorporated; Teradyne Inc.; TÜV SÜD; ViTrox Corporation Berhad; Zebra Technologies Corporation
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; 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.
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.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
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Companies Mentioned
- ABB Ltd.
- Advantech Co. Ltd.
- AMETEK Inc.
- Basler AG
- Bureau Veritas
- Cognex Corporation
- DNV
- Emerson Electric Co.
- FANUC Corporation
- Hexagon AB
- Honeywell International Inc.
- Intertek Group plc
- Keyence Corporation
- Mitsubishi Electric Corporation
- Nikon Corporation
- Nordson Corporation
- OMRON Corporation
- Panasonic Connect Co. Ltd.
- Qualcomm Incorporated
- Rockwell Automation Inc.
- SGS SA
- SICK AG
- Siemens Digital Industries Software Inc.
- Teledyne Technologies Incorporated
- Teradyne Inc.
- TÜV SÜD
- ViTrox Corporation Berhad
- Zebra Technologies Corporation

