AI Inspection Market

The AI inspection market is estimated to grow from USD 33.07 billion in 2025 to USD 102.42 billion by 2032, at a CAGR of 17.5% during the forecast period. This growth is driven by rising regulatory scrutiny and stronger expectations for audit-ready evidence across quality, safety, cybersecurity, and sustainability programs. Enterprises are increasingly shifting from periodic, manual checks to AI-enabled testing, inspection, and certification delivered through remote and hybrid models, which improve repeatability, coverage, and decision-making speed. Rapid advances in computer vision, ML analytics, and NLP are further accelerating adoption by automating defect detection, risk scoring, and compliance documentation across manufacturing, energy and utilities, healthcare and life sciences, construction, and consumer supply chains.

Some of the major players in the AI inspection market with strong global presence include SGS SA (Switzerland), DEKRA (Germany), Bureau Veritas (France), Intertek Group plc (UK), TUV SUD (Germany), TUV Rheinland (Germany), DNV (Norway), UL LLC (US), Eurofins Scientific (Luxembourg), and Element Materials Technology (UK). Two dominant strategies shape the competitive landscape in the market. The first is the continuous scaling of AI-enabled and digitally delivered TIC capabilities, where providers expand remote and hybrid inspection programs and embed computer vision, ML analytics, and automated evidence generation into testing, inspection, and certification workflows to improve repeatability, shorten cycle times, and support audit-ready compliance, an approach actively pursued by SGS, DEKRA, Bureau Veritas, Intertek, TÜV SÜD, TÜV Rheinland, DNV, and UL. The second strategy is specialization-led growth supported by acquisitions and partnerships, where players deepen positions in lab-intensive and regulated assurance domains and then layer targeted AI and data workflows to broaden solution breadth and strengthen credibility in high-value segments, a path commonly associated with Eurofins Scientific, Element Materials Technology, ALS, Applus+, Kiwa, MISTRAS Group, and TUV NORD GROUP.

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In November 2025, SGS signed an agreement to acquire Information Quality (IQ), adding digital engineering, asset data, information management systems, and reliability engineering capabilities that strengthen the data backbone for data-driven assurance and advanced digital asset integrity programs. Information Quality (IQ) is an Australia-based specialist in asset data/information management and reliability engineering for industrial operators.
In September 2025, Intertek launched AURS, a global service combining unmanned robotics and AI-driven analytics to deliver inspections, surveys, 3D imaging, and NDT in hazardous or hard-to-access environments, converting visual and sensor data into decision-ready inspection evidence to accelerate condition assessment and reduce human exposure.

SGS SA (Switzerland) is strengthening its position in the AI inspection market by expanding AI-enabled assurance capabilities across its global testing, inspection, and certification footprint, with a clear emphasis on scaling remote and hybrid delivery and improving audit-ready evidence generation. The company is accelerating growth in digital trust–oriented capabilities that support compliance-heavy environments, including stronger cybersecurity assurance, responsible AI governance, and automated compliance workflows that improve repeatability and reduce documentation burden for enterprise customers. SGS is combining organic capability build with inorganic expansion to deepen specialist expertise and extend regional reach, illustrated by acquisitions that strengthen digital trust and verification depth and by targeted deals that add industrial services scale in North America. It is also enhancing its asset integrity and data-driven assurance stack through acquisitions that add digital engineering, asset data and information management systems, and reliability engineering, enabling more integrated offerings across inspection execution, analytics, and compliance reporting.

Bureau Veritas (France) is strengthening its position in the AI inspection market by embedding digital and AI-enabled workflows into its core testing, inspection, and certification activities, with a growing focus on improving inspection repeatability, traceability, and audit readiness for enterprise customers. The company’s portfolio alignment supports adoption across high-demand end-use sectors, including manufacturing, energy and utilities, construction and infrastructure, and consumer supply chains, where customers increasingly require faster assurance cycles and higher-quality evidence. Bureau Veritas is pursuing a platform-led approach that scales remote and hybrid execution, using data capture and analytics to convert inspection outputs into standardized digital records that support regulatory and ESG reporting requirements. In parallel, it continues to broaden capability depth through targeted partnerships and selective acquisitions that strengthen domain expertise, digital compliance workflows, and sustainability-related assurance offerings. This combination of scale delivery and capability expansion positions Bureau Veritas to win multi-site programs where customers value consistent outcomes, defensible compliance documentation, and end-to-end assurance across operations and supply networks.

Market Ranking

The global AI inspection market is highly competitive, with the top five players—SGS SA, DEKRA, Bureau Veritas, TÜV SÜD, and TÜV Rheinland—together accounting for ~45% of the market in 2024. These companies hold strong positions because they can scale AI-enabled testing, inspection, and certification across industries while maintaining compliance-grade delivery, repeatable outcomes, and audit-ready digital evidence. Their leadership is reinforced by broad geographic coverage, deep regulatory familiarity, and the ability to integrate AI workflows into enterprise quality, compliance, and asset integrity programs. The remaining ~55% of the market is held by a large base of regional TIC providers, niche certification bodies, and specialized testing and inspection firms, many of which compete through domain depth, local accreditations, and high-touch delivery in specific verticals. This mix keeps the ecosystem competitive, with innovation driven by partnerships with AI technology enablers, increasing adoption of remote and hybrid inspection models, and rising demand for ESG verification, cybersecurity, and data assurance.

Related Reports:

AI Inspection Market by Service Type (Testing, Inspection, Certification), Technology (Computer Vision, ML, NLP), Service Delivery Mode, Application, Sourcing Type (In-house, Outsourced), End-use Industry, and Region - Global Forecast to 2032

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