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.
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- Rockwell Automation
- Schneider Electric
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Table of Contents
1. Executive Summary
2. Introduction
- Starting point: Manufacturers are moving to Industry 4.0 and 5.0
- Industrial automation and related terms are gaining in general importance
- The ISA-95 model distinguishes five levels of industrial automation
- The ISA-95 automation pyramid levels can be mapped to specific compute hardware and automation workloads
- How automation workloads interact
3. About the report
- This reports looks at client projects from 5 industrial automation vendors
- About this report: Analysis of 4,236 known client projects of five industrial automation vendors
- About this report: Methodology
- About this report: Projects in scope
- About this report: Extra analysis present in the Excel database
- 5 representative projects in the Excel database: 1. Daimler* (Siemens)
- 5 representative projects in the Excel database: 2. BASF (Emerson)
- 5 representative projects in the Excel database: 3. OWS Foods (Rockwell Automation)
- 5 representative projects in the Excel database: 4. BMW Group (ABB)
- 5 representative projects in the Excel database: 5. Takeda (Schneider Electric)
4. Industrial automation project landscape
- Industrial automation projects landscape - Overview and key takeaways
- Overview: Projects by vendor
- Overview: Projects by year and project phase
- Overview: Projects by region and business offering
- Overview: Projects by industry
- Overview: Projects by manufacturing group
- Overview: Projects by industry and region
- Overview: Projects by country
- Overview: Projects by product ISA-95 level
- Overview: IoT projects
- Overview: AI projects
5. Vendor comparison
- Vendor comparison - Overview and key takeaway
- Vendor overview: Projects by region, industry, and ISA-95 level
- Vendor overview: Percentage points change in the last two years
- Regional vendor comparison: Overview
- Regional vendor comparison: By region
- Regional vendor comparison: By country
- Vendor comparison by industry served: Overview
- Vendor comparison by industry served: Key customers
- Vendor comparison by ISA-95 level: Overview
- Vendor comparison by product type: Overview
- Vendor comparison by product type: Hardware deep-dive
- Vendor comparison by product type: Software deep-dive
6. ISA-95 product comparison
- ISA-95 product comparison - Overview and key takeaway
- ISA-95 level comparison: Overview
- ISA-95 level comparison): By industry
- Product type comparison: Overview
- Product type comparison: Hardware vs. Software
- Product type comparison: By industry
- ISA-95 level and product type by vendor: Siemens
- ISA-95 level and product type by vendor: Emerson
- ISA-95 level and product type by vendor: Rockwell Automation
- ISA-95 level and product type by vendor: ABB
- ISA-95 level and product type by vendor: Schneider Electric
7. IoT and AI comparison
- IoT and AI comparison - Overview and key takeaway
- Reminder: Two types of IoT and the technical IoT setup
- How IoT Analytics grouped projects as IoT and AI
- IoT comparison: Overview
- IoT comparison: By industry
- IoT comparison: By IoT use case
- AI comparison: Overview
- AI comparison: By industry
8. Appendix
9. About IoT Analytics
