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Industrial Automation Software Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The industrial automation software market has experienced significant expansion in recent years. Projections indicate it will increase from $48.5 billion in 2025 to $53.6 billion in 2026, demonstrating a compound annual growth rate (CAGR) of 10.5%. This historical growth is linked to factors such as the proliferation of automated manufacturing facilities, the increased implementation of PLC and SCADA systems, a heightened need for production visibility, the rise in industrial digital transformation efforts, and the broader acceptance of manufacturing execution systems.
The industrial automation software market is anticipated to experience robust expansion in the near future, with its size projected to reach $75.35 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 8.9%. This expansion during the forecast period is driven by factors such as increasing investments in smart factories, the rising adoption of cloud-native automation software, a growing demand for predictive maintenance solutions, the broader integration of industrial IoT, and an increasing focus on secure and scalable automation platforms. Significant trends expected in this period include the wider adoption of cloud-based industrial automation platforms, the increasing integration of AI-driven process optimization tools, a growing demand for unified SCADA and MES software, the expansion of real-time industrial data analytics solutions, and an enhanced focus on cybersecurity within automation software.
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#Industrial Automation Software Market Growth Factors: Which Forces Are Supporting Market Expansion?
The increasing integration of IoT devices is anticipated to boost the expansion of the industrial automation software market moving forward. These devices are physical objects equipped with sensors, software, and connectivity features, enabling data collection, exchange, and automation across various sectors. The demand for IoT is growing due to its potential to transform industrial operations through features like real-time monitoring, predictive maintenance, and data-driven decision-making, ultimately delivering improved efficiency, productivity, cost savings, and a competitive advantage. The industrial automation software market supports this trend by employing IoT technologies to facilitate real-time insights, remote monitoring, asset tracking, energy management, and scalable automation workflows. For instance, in 2024 according to the Ericsson is a Sweden-based software, and services company reported that the number of connected devices is projected to rise from about 18.8 billion in 2024 to roughly 43 billion by 2030. Therefore, the growing adoption of IoT devices is propelling the growth of the industrial automation software market.
Industrial Automation Software Market Segmentation Trends And Revenue Drivers
The industrial automation software market covered in this report is segmented –
1) By Product: Supervisory Control And Data Acquisition (SCADA), Distributed Control System (DCS), Manufacturing Execution Systems (MES), Human Machine Interface (HMI), Programmable Logic Controller (PLC), Information Technology (IT) And Software Environment Integration Solutions, Production Process Test Systems, Coordinated Data Management Systems
2) By Deployment Type: On-Premise, Cloud-Based
3) By End User: Oil And Gas, Chemicals And Materials, Paper And Pulp, Pharmaceuticals And Biotech, Mining And Metals, Food And Beverage, Power, Consumer Goods, Automotive, Other End Users
Subsegments:
1) By Supervisory Control And Data Acquisition (Scada): Scada Software For Monitoring And Control, Remote Terminal Unit (Rtu) Scada Solutions, Distributed Scada Systems, Web-Based Scada Solutions, Real-Time Scada Data Visualization Tools, Scada Systems For Energy Management, Integrated Scada For Industrial Iot (Iiot)
2) By Distributed Control System (Dcs): Dcs Software For Process Automation, Hybrid Dcs And Scada Solutions, Dcs For Power Generation And Distribution, Advanced Dcs For Oil And Gas Industry, Real-Time Process Control In Dcs, Dcs With Safety Instrumented Systems (Sis)
3) By Manufacturing Execution Systems (Mes): Mes For Production Tracking And Monitoring, Mes For Quality Management, Mes With Integration To Erp Systems, Real-Time Manufacturing Data Analytics, Batch Manufacturing Execution Software, Mes For Automotive Manufacturing, Cloud-Based Mes Solutions
4) By Human Machine Interface (Hmi): Hmi Software For Industrial Control Systems, Touchscreen Hmi Solutions, Hmi With Scada Integration, Mobile And Remote Hmi Applications, Customizable Hmi For Manufacturing Plants, Visual Data Display And Control Panels
5) By Programmable Logic Controller (Plc): Plc Programming Software, Plc Simulation And Testing Software, Plc With Motion Control, Plc-Hmi Integrated Systems, Modular And Compact Plc Software Solutions, Plc Communication And Networking Software
6) By Information Technology (It) And Software Environment Integration Solutions: Enterprise Resource Planning (Erp) Integration For Automation, It Infrastructure Integration With Automation Systems, Industrial Iot (Iiot) Integration Software, Cloud-Based Industrial Automation Solutions, Big Data Analytics Integration For Automation Systems, Cybersecurity Solutions For Industrial Automation
7) By Production Process Test Systems: Automated Testing Software For Production Lines, Test Systems For Quality Control, Real-Time Testing For Manufacturing Processes, End-Of-Line Testing Systems, Process Simulation And Validation Tools
8) By Coordinated Data Management Systems: Data Integration For Manufacturing Systems, Centralized Data Management For Industrial Operations, Data Synchronization For Multi-Site Manufacturing, Industrial Data Collection And Analysis Systems, Data Sharing And Cloud-Based Data Management
Industrial Automation Software Market Trends: What Is Shaping Future Industry Growth?
Major companies within the industrial automation software market are concentrating on autonomous AI, such as Industrial AI agents, to elevate productivity, decrease manual effort, and improve decision-making capabilities. Industrial AI agents are sophisticated software constructs designed to comprehend high-level operational intentions, segment objectives, process shop-floor data, and coordinate specialized agents to carry out tasks without continuous human involvement. For example, in May 2025, Siemens, a Germany-based technology company, unveiled AI agents embedded within its Industrial Copilot ecosystem, which possess the ability to proactively execute workflows, evolve through learning, and function across diverse third-party systems. The underlying agent architecture features an orchestrator for task distribution, agents that utilize tools and enhance performance through ongoing learning, and a dedicated marketplace where users can deploy agents customized for particular industrial operations.
#Industrial Automation Software Market Industry Leaders: Which Organizations Are Driving Competition?
Major companies operating in the industrial automation software market are Siemens AG, Rockwell Automation Inc., Schneider Electric SE, ABB Ltd., Emerson Electric Co., Honeywell International Inc., Mitsubishi Electric Corporation, Yokogawa Electric Corporation, General Electric Company, Bosch Rexroth AG, Hitachi Ltd., Omron Corporation, Fanuc Corporation, Dassault Systèmes SE, AVEVA Group plc, Aspen Technology Inc., Hexagon AB, KUKA AG, Beckhoff Automation GmbH & Co. KG, Inductive Automation Inc., PTC Inc., ICONICS Inc.
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Industrial Automation Software Market Regional Distribution: Which Areas Drive Market Expansion?
North America was the largest region in the industrial automation software market in 2025. Asia-Pacific is expected to be the fastest-growing region in the market. The regions covered in the industrial automation software market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
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Wasay has over a decade of experience in market research, data modelling, and analytics, with prior experience at GlobalData and Decision Tree Consulting Services. At The Business Research Company , he leads research operations across syndicated studies, customized consulting engagements, and the Global Market Model platform. His professional experience includes supporting organizations such as Boston Consulting Group, KPMG, and Ernst & Young. Wasay holds a degree in Electronics and Communications Engineering, postgraduate management qualifications from International Management Institute Belgium and Indian School of Business and Entrepreneurship, and completed the Integrated Program in Business Analytics from Indian Institute of Management Indore.