Benchmark a factory and prioritize improvement investments
Launched by Singapore’s Economic Development Board in 2017 and subsequently managed by INCIT, SIRI combines factory diagnosis, industry benchmarking and investment prioritization to support Industry 4.0 roadmaps.
Regions
Singapore, with adoption programmes in Saudi Arabia, Brazil and other countries.
Scale
INCIT’s 2025 report draws on thousands of manufacturers across more than 60 countries.
Audience
Manufacturers seeking Industry 4.0 diagnosis and international benchmarking.
Assessment areas
Process, technology and organization: eight pillars and 16 dimensions, each assessed from 0 to 5.
Outputs
Dimension scores, peer comparisons and prioritized improvements for a transformation roadmap.
Coordinate technology and organizational change in a factory roadmap
Published by Germany’s acatech in 2017 and updated in 2020, the index describes progression towards predictive and adaptive operations, bringing technology, organizational structure and culture into transformation planning.
Regions
Germany, with applications in manufacturing companies worldwide; published sources do not rank participation by country.
Scale
FIR reported in 2021 that the Industrie 4.0 Maturity Center had applied the index to over 100 manufacturers worldwide since 2017.
Audience
Manufacturers combining technology development with organizational change.
Assessment areas
Four structural areas: resources, information systems, organizational structure and culture.
Outputs
A maturity profile, capability gaps and a staged development roadmap.
Identify digital strengths and weaknesses through online self-assessment
Developed by the European Commission’s Joint Research Centre, DMAT is a common assessment tool for European Digital Innovation Hubs. It tracks digital maturity before and after support and helps identify client needs.
Regions
EU and other European countries participating in EDIH, with published applications in Finland and Ireland.
Scale
By mid-January 2025, the EDIH network had performed over 11,000 assessments of businesses and public-sector organizations.
Audience
Companies seeking a digital baseline or support from European Digital Innovation Hubs.
Assessment areas
Six dimensions: digital business strategy, digital readiness, human-centric digitalisation, data governance, automation and AI, and green digitalisation.
Outputs
An individual-company maturity result highlighting areas for further diagnosis.
Assess readiness for data-intensive factory improvements
Developed by the US National Institute of Standards and Technology, SMSRL examines organizational, software, data and performance-management foundations for specific factory improvements and data-intensive smart manufacturing.
Regions
Developed and publicly released in the United States; NIST does not publish adoption figures by country.
Scale
NIST’s published resources do not state cumulative participating company or factory counts, or a large-scale rollout programme.
Audience
Factories planning layout, capacity, material-flow or equipment improvements.
Assessment areas
Organizational maturity, IT applications, performance management and information connectivity.
Outputs
Current readiness results to inform factory improvement planning.
Identify the transformation stage and align business and capability development
DLMM assesses enterprise transformation across strategy, capabilities, solutions, governance and business innovation. It became part of MIIT’s digital transformation standards implementation pilot in 2023, with online diagnosis and star-rating assessments.
Regions
China; online diagnosis covers 31 provincial-level regions and sectors including manufacturing and energy.
Scale
Reported in March 2025: related online diagnostic services reached over 130,000 enterprises. By May 2025, 1,083 enterprises had passed DLMM star-rating assessments.
Audience
Enterprises planning, diagnosing or assessing overall digital transformation.
Assessment areas
Five domains: strategy, enhanced capabilities, systematic solutions, governance and business innovation.
Outputs
Five maturity levels—Standardized, Scenario, Domain, Platform and Ecosystem—subdivided into ten bands.
Review enterprise integration and compare with industry peers
Based on Chinese national standards, this established assessment supports enterprise self-assessment, diagnosis and benchmarking. Enterprise data also informs sectoral and regional analysis of digital–industrial integration.
Regions
China; participating enterprises span the country and all 41 major industrial categories.
Scale
In 2025, the National Industrial Information Security Development Research Center reported serving 366,000 enterprises through self-assessment, diagnosis and benchmarking.
Audience
Industrial enterprises reviewing the integration of information technology with operations.
Assessment areas
Examine how digital technologies are integrated into operations and contribute to enterprise capabilities and benefits.
Outputs
An integration profile and benchmarking analysis to identify weaknesses and priorities.
Assess factory capabilities and plan staged development
Based on GB/T 39116 and GB/T 39117, this method supports staged smart-factory development. Self-assessment and professional evaluation identify capability gaps and inform factory diagnosis and upgrades across China.
Regions
China; applications in Jiangsu, Beijing and Guangdong support smart-factory diagnosis, development or upgrades.
Scale
A 2024 Jiangsu provincial report recorded 45,000 enterprises undertaking online smart manufacturing maturity self-assessment.
Audience
Manufacturers developing smart factories, upgrading operations or comparing plant capabilities.
Assessment areas
Assess people, technology, resources and manufacturing capabilities.
Outputs
Five maturity levels: Planning, Standardization, Integration, Optimization and Leadership, with capability gaps and improvement priorities.