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Artificial Intelligence (AI) In Industrial Machinery Market Value Analysis: What Growth Is Expected Over The Forecast Period?
The artificial intelligence (AI) in industrial machinery market has experienced significant growth over recent years. This market is anticipated to expand from $2.52 billion in 2025 to $3.26 billion in 2026, at a compound annual growth rate (CAGR) of 29.2%. Factors contributing to its historical growth include the automation of manufacturing processes, rising industrial downtime costs, the expansion of sensor-enabled machinery, the demand for improved operational efficiency, and the adoption of smart factory concepts.
The artificial intelligence (AI) in industrial machinery market size is expected to experience substantial growth in the upcoming years. It is projected to expand to $9.04 billion by 2030, demonstrating a compound annual growth rate (CAGR) of 29.1%. This anticipated growth is influenced by the expansion of smart manufacturing initiatives, increased investments in industrial AI platforms, a greater focus on energy efficiency, the integration of edge AI solutions, and the spread of robotics-driven production. Significant developments expected in the forecast period involve AI-enabled predictive maintenance, real-time machine performance monitoring, intelligent process optimization systems, the implementation of autonomous industrial equipment, and improvements in production efficiency driven by data.
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Artificial Intelligence (AI) In Industrial Machinery Market Industry Drivers: What Is Driving Revenue Growth?
The increasing implementation of artificial intelligence (AI) within the industrial sector is anticipated to drive the expansion of the AI in industrial machinery market going forward. This sector encompasses economic entities that aid other businesses in the production, distribution, or development of their products. AI’s capabilities include streamlining industrial operations, forecasting equipment malfunctions, and enabling enhanced smart services, which translates into higher productivity, earlier problem detection, and fewer machine breakdowns for manufacturers. For example, a March 2024 report from the United States Census Bureau, a US federal statistical agency, highlighted a rapid increase in AI adoption: from 3.7% of companies in Fall 2023 to 5.4% in February 2024, with forecasts predicting it will reach 6.6% by Fall 2024. Concurrently, an employment-weighted usage rate indicates that roughly 12% of workers in these firms will be utilizing AI by then. Consequently, the expanding application of AI in the industrial domain is a key driver for the AI in industrial machinery market.
Artificial Intelligence (AI) In Industrial Machinery Market Segments: Where Are The Largest Growth Opportunities?
The artificial intelligence (AI) in industrial machinery market covered in this report is segmented –
1) By Component: Hardware, Software, Services
2) By Technology: Machine Learning, Computer Vision, Context Awareness
3) By Application: Predictive Maintenance, Quality Control, Process Optimization, Supply Chain Optimization, Intelligent Robotics, Autonomous Vehicles And Guided Systems, Energy Management, Human-Machine Interfaces, Other Applications
4) By End-Use: Agriculture, Construction, Packaging, Food Processing, Mining, Semiconductor Manufacturing
Subsegments:
1) By Hardware: AI-Enabled Sensors, Robotics And Automation Equipment, Edge Computing Devices
2) By Software: Machine Learning Algorithms, AI-Driven Analytics Platforms, Simulation And Modeling Software
3) By Services: AI Consulting Services, Integration And Implementation Services, Maintenance And Support Services
#Artificial Intelligence (AI) In Industrial Machinery Market Trends Influencing Long-Term Demand
Leading companies in the AI in the industrial machinery market are prioritizing product introductions, such as AI-powered design for industrial processing equipment, to refine its overall design. This AI-powered design for industrial processing equipment employs artificial intelligence algorithms and technologies to optimize the planning, creation, and operational capabilities of machinery utilized in industrial processing. For instance, in November 2023, the University of Birmingham, a UK-based public research university, unveiled an AI-powered design for industrial processing equipment. This introduction features an innovative ‘evolutionary design’ methodology, applicable to various machinery including mills, dryers, roasters, and coaters. This initiative is expected to revolutionize the industrial machinery market by improving efficiency, lowering costs, accelerating innovation, and conferring a competitive advantage through the incorporation of AI-optimized equipment customized for specific industrial processes.
Artificial Intelligence (AI) In Industrial Machinery Market Major Participants And Competitive Dynamics
Major companies operating in the artificial intelligence (AI) in industrial machinery market are Siemens AG; ABB Ltd.; FANUC Corporation; Rockwell Automation Inc.; Hitachi Ltd.; Honeywell International Inc.; Mitsubishi Electric Corporation; Schneider Electric SE; Bosch Rexroth AG; KUKA AG; Omron Corporation; Yaskawa Electric Corporation; Emerson Electric Co; Nidec Corporation; Eaton Corporation plc; HyundAI Robotics; Comau SpA; Toshiba Machine Co Ltd.; Denso Corporation; Cognex Corporation; Universal Robots A/S; ASA Robotics; Keyence Corporation; Applied Materials Inc.; Teradyne Inc.
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Artificial Intelligence (AI) In Industrial Machinery Market Regional Outlook: Where Are The Largest Opportunities Located?
North America was the largest region in the artificial intelligence (AI) in industrial machinery market in 2025. The regions covered in the artificial intelligence (AI) in industrial machinery 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.