Industrial Automation Projects Report and Database 2025

Structured repository of 4,200+ industrial automation projects from five of the leading vendors. It includes a 105-page report with analysis of the project landscape, a comparison of vendors, their products, share of AI and IoT.

SAMPLE VIEW

The "Industrial Automation Projects Report and Database 2025" is part of IoT Analytics' ongoing coverage of smart manufacturing. The information presented in this report is based on a database of 4,200+ industrial automation projects by five of the leading industrial automation vendors. All data are based on public information that is available in the websites of the respective industrial OEMs (Siemens, Emerson Electric, Rockwell Automation, ABB, and Schneider Electric).

SAMPLE VIEW

Projects in scope

Projects that include at least one product classified within the ISA-95 pyramid levels are considered in-scope. Projects featuring both in-scope and out-of-scope products were also analyzed to provide a comprehensive overview.

The database is suitable for:

• IoT strategy / business case development
• Sector scan
• Customer / vendor selection
• Competitive analysis
• Go-to-market / market entry strategy

Database Structure

This list is structured along the following dimensions:

Project details

• Project index: Unique identifier of each project
• Project name: Short name of the project
• Project description: Short description of the project
• Primary industry (ISIC classification): Industry classification (ISIC code) of the project - primary
• Secondary industry (ISIC classification): Industry classification (ISIC code) of the project - secondary
• Country: Country where the project took place in
• Region: Region where the project took place in
• Vendor name: Name of the vendor that has published the project on their website

Company details

• Services/products used: Products/services that are highlighted in the project
• Service/product ISA-95 level: ISA-95 level of the respective product on each row
• Project source: Link to the vendor website of the project
• IoT: An "x" on the row indicates that the project is considered an IoT project
• AI or ML: An "x" on the row indicates that the project is considered an AI/Machine Learning project
• Company: Name of the customer company that the project refers to
• Company description: Short description of the customer company the project refers to

Value proposition for company

• Description
• Revenue increase
• Cost reduction
• Safety enhancement
• Security enhancement
• Product quality increase
• Equipment performance increase
• Equipment availability increase
• Customer satisfaction
• Employee satisfaction
• Other

Keyword analysis

• Sustainability
• Emissions
• Scalability
• Flexibility
• Compliance

IoT infrastructure

• Cellular networks
• 5G
• LPWAN
• Wi-Fi/Ethernet
• Bluetooth
• Tethered
• Other

IoT use case classification

• Smart City
  • IoT classification
  • Mobility/Transportation
  • Environment
  • Public safety
  • City infrastructure
  • Smart city other
• Connected building
  • Building security and safety
  • User flow and wellbeing
  • HVAC/heating/cooling/electricity
  • Smart buildings other
• Smart energy/Utilities
  • Energy generation
  • Smart grid
  • Smart metering
  • Emission/Waste tracking
  • Energy/Utilities other
• Smart supply chain
  • On-site facility track & trace
  • Supply chain track & trace
  • Real-time inventory management
  • Smart supply chain other
• Smart operation
  • Asset performance optimization
  • Process automation
  • Operations planning and scheduling
  • Augmented operations and services (incl. maintenance)
  • Remote asset monitoring and control
  • Quality control and management
  • Condition-based maintenance and monitoring
  • Predictive maintenance
  • Plant/worker safety
  • Work condition monitoring
  • Smart operation other
• Connected products
  • Over-the-air updates
  • Remote asset control
  • Condition/health monitoring
  • Predictive maintenance
  • Location tracking
  • Selling asset/product as as-a-service
  • IoT data-based product usage optimization
  • Product engineering
  • Connected products other

Additional information

• Industry (ISIC classification): Industry classification (ISIC code) of the customer
• Company URL: Home website of the customer
• Country: Country of the customer
• Company is end user: An "x" on the row indicates whether the company is an end user of the solution
• Company offers solutions to end users: An "x" on the row indicates whether the company offers solutions to end users
• Year of the project (estimated): Estimated year of the project
• Project phase (estimated): Estimated phase of the project

Questions answered:

• What type of customer projects are five key industrial automation vendors (OEMs) highlighting in their marketing?
• How are those projects distributed across different regions for the respective industrial OEMs?
• OEM comparison by industry: Which industries are most prevalent in the identified projects of each OEM?
• OEM comparison by tech stack: How does the distribution of ISA-95 level products vary within each vendor?
• OEM deep-dive by product: Which products are most common among the analyzed projects for each vendor?
• IoT and AI deep-dive: Which vendor has the highest share of analyzed projects involve IoT or AI?
• IoT and AI deep-dive: What are the most common IoT use cases in analyzed projects?

Companies mentioned:

A selection of companies mentioned in the report.