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Industrial Automation Software Market Size And Revenue Outlook Through 2030
The industrial automation software market has seen rapid expansion in recent years. Its valuation is set to climb from $48.5 billion in 2025 to $53.6 billion in 2026, reflecting a compound annual growth rate (CAGR) of 10.5%. This historical upward trend can be ascribed to several factors, including the proliferation of automated manufacturing facilities, the increasing implementation of PLC and SCADA systems, a heightened need for production visibility, the surge in industrial digital transformation initiatives, and the wider adoption of manufacturing execution systems.
The industrial automation software market is projected to experience robust expansion in the coming years. This market is anticipated to reach $75.35 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 8.9%. Key drivers for this growth throughout the forecast period include greater investments in smart factory initiatives, an increase in the uptake of cloud-native automation software, a heightened need for predictive maintenance solutions, the broadening integration of Industrial IoT, and an intensified emphasis on secure and scalable automation platforms. Significant trends expected during this period involve the wider acceptance of cloud-based industrial automation platforms, increasing integration of AI-powered process optimization tools, a growing requirement for consolidated SCADA and MES software, the broadening of real-time industrial data analytics solutions, and a stronger focus on cybersecurity within automation software.
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Industrial Automation Software Market Growth Factors: What’s Supporting Expansion?
The increasing integration of IoT devices is poised to fuel the expansion of the industrial automation software market in the foreseeable future. IoT devices refer to physical objects that contain embedded sensors, software, and connectivity features, enabling data collection, exchange, and automation across various sectors. The demand for IoT is growing due to its capacity to revolutionize industrial operations through continuous monitoring, proactive maintenance, and data-driven decisions, resulting in enhanced efficiency, increased productivity, cost reductions, and a competitive edge. The industrial automation software market supports this development by leveraging IoT technologies to facilitate real-time insights, remote surveillance, asset tracking, energy management, and scalable automation workflows. For instance, in 2024, Ericsson, a Sweden-based software, and services company, reported that the number of connected devices is projected to increase from about 18.8 billion in 2024 to roughly 43 billion by 2030. Thus, the growing adoption of IoT devices is a key factor driving the growth of the industrial automation software market.
Industrial Automation Software Market Segment Analysis: What Are The Core Market Categories?
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 Industry Trends: What’s Reshaping Demand?
Leading firms within the industrial automation software market are prioritizing autonomous AI, particularly Industrial AI agents, with the aim of increasing productivity, minimizing manual labor, and refining decision-making processes. These Industrial AI agents are defined as software constructs designed to comprehend complex operational objectives, break down goals, interact with shop-floor data, and coordinate various specialized agents to complete tasks autonomously, requiring no continuous human involvement. An illustrative example is Siemens, a Germany-based technology company, which in May 2025 unveiled AI agents embedded within its Industrial Copilot ecosystem; these agents possess the capability to initiate workflows independently, evolve through learning, and function seamlessly across diverse third-party systems. The architecture supporting these agents comprises an orchestrator responsible for assigning tasks, agents that utilize tools and get better with ongoing learning, and a marketplace enabling users to implement agents customized for particular industrial applications.
Industrial Automation Software Market Top Companies Driving Competitive Growth
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 Geographic Analysis: Where Is Demand Rising Fastest?
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.
