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Software For Smart Manufacturing Market Expected To Reach $241.61 Billion By 2030 At 14% CAGR
The market size for software in smart manufacturing has experienced rapid expansion in recent years. This market is projected to grow from $124.94 billion in 2025 to $142.86 billion in 2026, at a compound annual growth rate (CAGR) of 14.3%. The growth observed in the past can be ascribed to elements like manufacturing automation, the pursuit of operational efficiency, the integration of ERP systems, the rise of industrial IoT, and essential quality control requirements.
The market for software supporting smart manufacturing is projected to experience substantial expansion in the coming years, reaching a valuation of $241.61 billion by 2030, exhibiting a compound annual growth rate (CAGR) of 14.0%. This anticipated growth during the forecast period stems from factors such as increased smart factory investments, the broadening of cloud infrastructure, advancements in data-driven manufacturing, the digitalization of the workforce, and the rising need for real-time decision-making capabilities. Key developments expected within this period encompass the widespread adoption of digital twin platforms, the emergence of cloud-based manufacturing software, the implementation of predictive maintenance solutions, the incorporation of AI analytics, and improved end-to-end production visibility.
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Software For Smart Manufacturing Market Industry Drivers: What Is Driving Revenue Growth?
The increasing integration of Industry 4.0 is set to fuel the expansion of the software for smart manufacturing market. Industry 4.0 represents the fourth industrial revolution, which merges digital technologies like the internet of things (IoT), artificial intelligence (AI), robotics, and big data into manufacturing processes to establish intelligent and efficient production systems. This surge in Industry 4.0 stems from the demand for data-driven, real-time decision-making, enabling manufacturers to minimize operational interruptions, optimize resource utilization, and enhance product quality. Software tailored for smart manufacturing supports the adoption of Industry 4.0 by facilitating real-time data integration, automation, and predictive insights, thereby boosting overall efficiency and productivity. As an illustration, Rockwell Automation, Inc., an automation company, indicated in April 2024 that in 2024, 95% of manufacturers are either employing or evaluating smart manufacturing technology, an increase from 84% in 2023. Therefore, the expanding adoption of Industry 4.0 is a primary catalyst for the growth of the software for the smart manufacturing market.
Software For Smart Manufacturing Market Segment Analysis Highlighting Growth Areas
The software for smart manufacturing market covered in this report is segmented –
1) By Component: Sofware, Hardware, Services
2) By Deployment: Cloud, On-premises
3) By Enterprise Type: Large Enterprises, Small And Mid-Sized Enterprises (SMEs)
4) By Functional Operation: Production And Operations, Quality And Compliance, Supply Chain And Logistics, Asset And Maintenance Management, Design And Engineering
5) By Application: Digital Twin, Enterprise Resource Planning (ERP), Quality Management, Supply Chain Planning, Asset Performance Management, Manufacturing Execution System Automation And Orchestration, Maintenance Or Preventive Or Predictive Management, 3D Printing Or Modelling, Product Lifecycle Management, Other Applications
Subsegments:
1) By Software: Manufacturing Execution System (MES), Product Lifecycle Management (PLM), Enterprise Resource Planning (ERP)
2) By Hardware: Sensors, Controllers, Robots
3) By Services: Consulting, Maintenance And Support, Integration
#Software For Smart Manufacturing Market Growth Trends: What Is Influencing The Future Outlook?
Leading companies in the software for smart manufacturing market are concentrating on creating sophisticated solutions, such as agentic AI-driven platforms. Their goal is to improve operational efficiency, enhance predictive insights, and minimize human intervention along with production downtime. Agentic AI-powered smart manufacturing solutions are advanced software systems that utilize autonomous AI agents to independently carry out tasks, analyze data, and optimize manufacturing processes instantaneously. For example, in March 2025, HCL Technologies Limited, an information technology company from India, introduced HCLTech Insight. This agentic AI-powered smart manufacturing solution operates on Google Cloud. It aims to help manufacturers detect, analyze, and resolve product defects in real-time, consequently boosting production quality and decreasing costs. The solution leverages Google Cloud’s AI technologies to offer actionable insights through dashboards and virtual assistants, thereby improving decision-making and operational effectiveness. This offering enables manufacturers across various industries to increase productivity, reduce waste, and uphold high-quality standards using scalable, cloud-based AI capabilities.
Software For Smart Manufacturing Market Leading Companies: Who Holds Significant Market Presence?
Major companies operating in the software for smart manufacturing market are Siemens AG, General Electric Company, Cisco Systems Inc., Oracle Corporation, Mitsubishi Electric Corp., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd, Emerson Electric Co., Robert Bosch GmbH, Rockwell Automation Inc, FANUC Corporation, Dassault Systems SE, Autodesk Inc., Yokogawa Electric Corporation, PTC Inc, AVEVA Group plc, 3D Systems Corp., Aegis Industrial Software Corporation
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Software For Smart Manufacturing Market Geographic Analysis: Where Is Demand Growing The Fastest?
North America was the largest region in the software for smart manufacturing market in 2025. The regions covered in the software for smart manufacturing 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.