The "Industrial Software Landscape 2024-2030" is part of IoT Analytics' ongoing coverage of industrial transformation end market. The information in this report is derived from reported vendor revenues, survey data, and qualitative research, i.e., interviews and briefings with software vendors. The document includes a definition of industrial software, market projections, vendor market shares, general trends, vendor strategies, and specific trends related to individual software categories. The main purpose of this document is to help our readers understand the current industrial software landscape by defining, sizing, and analyzing the market.
INFOGRAPHICS
The report is accompanied by a structured database* with a classification of 180+ industrial software companies in 5 software groups and 14 different software categories:
Design and engineering
INFOGRAPHICS
Manufacturing
Supply chain
- Supply chain planning & design
- Suply chain execution
Service
General/Overarching
- Cloud infrastructure & services
- Cybersecurity
- Virtualization
- Remote access
- Data & analytics
INFOGRAPHICS
Definition of industrial software
Industrial software = Digital tools, solutions, or applications used to create, manage, or analyze information within the industrial manufacturing value chain.
Industrial software market
The growth for industrial sofware is outperforming the growth for OT hardware. IoT Analytics forecasts the industrial software market to continue growing stongly, driven by cloud and analytics software.
* included with a team user license or higher.
Questions answered:
- What are the market dynamics for the following industrial software markets: CAD, EDA, PLM, MOM, EAM, machine control, cybersecurity, data & analytics, SCM, field service, cloud, virtualization, and remote access?
- What is the market size for industrial software and individual software categories (e.g., CAD, PLM, or MOM)?
- What are the market growth projections for industrial software as well as individual software categories until 2030?
- Which software vendors are leading their markets, and what are their market shares?
- How have market shares developed between 2021 and 2023?
- What strategies do key industrial software companies for the coming years?
- What are the key trends affecting the industrial software market in general?
- What are some individual trends for specific software categories?
Companies mentioned:
A selection of companies mentioned in the report.
- ABB
- Ansys
- Aspentech
- Autodesk
- AWS
- Cadence
- Dassault Systemes
- Hexagon
- Honeywell
- IBM
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- Microsoft
- Oracle
- PTC
- Rockwell Automation
- SAP
- Schneider Electric
- Siemens
- Snowflake
- Synopsys
- VMWare
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Table of Contents
1. Executive Summary
- 1. Executive summary
- 2. This report highlights smart factory adoption through 6 lenses and 4 deep dives
- 3. 500 people participated in this research that represent a variety of different manufacturers
- 4. The Smart Factory Adoption Report 2024 is part of IoT Analytics' ongoing coverage of Industry 4.0 and IIoT
2. Introduction
- 1. Market definition and scope
- 2. Report motivation
3. Taxonomy
- 1. Industrial software taxonomy
4. Market size and forecast
- 1. Market overview: Industrial software
- 2. Market overview: Industrial software by software group
- 3. Industrial software market forecasts by software category
5. Industrial vendor strategies
- 1. Strategy deep dive 1: Siemens
- 2. Strategy deep dive 2: SAP
- 3. Strategy deep dive 3: Schneider Electric
- 4. Strategy deep dive 4: PTC
- 5. Strategy deep dive 5: Dassault Systemes
- 6. Strategy deep dive 6: Autodesk
6. Overarching market trends
- 1. Market trends overview
- 2. Trend 1
- 3. Trend 2
- 4. Trend 3
- 5. Trend 4
- 6. Trend 5
- 7. Trend 6
- 8. Trend 7
7. Deep dives per software category
- 1. CAD
- 2. EDA
- 3. PLM
- 4. Machine control software
- 5. MOM
- 6. Supply Chain - Planning & design
- 7. Supply Chain - Execution
- 8. Field service
- 9. EAM
- 10. Cloud infrastructure and services
- 11. Cybersecurity
- 12. Virtualization
- 13. Remote access
- 14. Data and analytics
8. Methodology
9. About IoT Analytics