Artificial Intelligence (AI) In Industrial Machinery Market Report 2026

Artificial Intelligence (AI) In Industrial Machinery Market Overview

• Artificial Intelligence (AI) In Industrial Machinery market size has reached to $2.52 billion in 2025 • Expected to grow to $9.04 billion in 2030 at a compound annual growth rate (CAGR) of 29.1% • Growth Driver: The Surge Of AI Adoption In Manufacturing • Market Trend: The University Of Birmingham's Breakthrough In Ai-Optimized Industrial Processing Equipment • North America was the largest region in 2025.

What Is Covered Under Artificial Intelligence (AI) In Industrial Machinery Market?

Artificial intelligence (AI) in industrial machines refers to the utilization of artificial intelligence technologies in industrial machines to upgrade them into smart machines and enable the framework to generate multiple solutions. AI provides predictive maintenance, real-time monitoring, and process optimisation in industrial machinery, resulting in higher efficiency, fewer downtime, and increased total production. The main components of artificial intelligence (AI) in industrial machinery are hardware, software, and services. Hardware refers to the physical parts of a computer or other device, such as the motherboard, storage drives, and other devices, and these are used to accelerate the computation-intensive tasks involved in AI algorithms in industrial machines and aid in boosting uptime, yield, and decreasing downtime. The technologies include machine learning, computer vision, context awareness, and natural language processing that are applied for predictive maintenance, quality control, process optimization, supply chain optimization, intelligent robotics, autonomous vehicles and guided systems, energy management, human-machine interfaces, and others by different end users such as commercial, agriculture, construction, packaging, food processing, mining, and semiconductor manufacturing.

What Is The Artificial Intelligence (AI) In Industrial Machinery Market Growth Forecast?

The artificial intelligence (AI) in industrial machinery market size is expected to see exponential growth in the next few years. It will grow to $9.04 billion in 2030 at a compound annual growth rate (CAGR) of 29.1%. The growth in the forecast period can be attributed to growth of smart manufacturing initiatives, rising investment in industrial AI platforms, increasing focus on energy efficiency, integration of edge AI solutions, expansion of robotics driven production. Major trends in the forecast period include AI enabled predictive maintenance, real time machine performance monitoring, intelligent process optimization systems, autonomous industrial equipment deployment, data driven production efficiency improvement.

Global Artificial Intelligence (AI) In Industrial Machinery Market Segmentation

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

What Is The Driver Of The Artificial Intelligence (AI) In Industrial Machinery Market?

The growing use of artificial intelligence (AI) in the industrial sector is expected to propel the growth of AI in the industrial machinery market in the future. The industrial sector is a component of the economy comprised of companies that assist other companies in manufacturing, delivering, or creating their goods. Artificial intelligence optimises industrial processes, predicts machinery issues, and facilitates improved smart services, resulting in increased productivity, problem identification, and reduced machine failures for manufacturers. For instance, in March 2024, according to a report published by the United States Census Bureau, a US-based federal statistical agency, the adoption of AI is increasing swiftly, climbing from 3.7% of companies in Fall 2023 to 5.4% in February 2024, with projections indicating a rise to 6.6% by Fall 2024, while the employment-weighted usage rate suggests that about 12% of workers in firms will be using AI by that time. Therefore, the growing use of AI in the industrial sector is driving the AI in industrial machinery market.

Key Players In The Global Artificial Intelligence (AI) In Industrial Machinery Market

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.

Global Artificial Intelligence (AI) In Industrial Machinery Market Trends and Insights

Major companies operating in the AI in the industrial machinery market are focusing on product launches, such as AI-powered design for industrial processing equipment, to optimise the design of industrial processing equipment. AI-powered design for industrial processing equipment involves the utilisation of artificial intelligence algorithms and technologies to optimise the conceptualisation, development, and performance of machinery used in industrial processing. For instance, in November 2023, the University of Birmingham, a UK-based public research university, launched an AI-powered design for industrial processing equipment. This launch introduces an innovative 'evolutionary design' approach, applicable to diverse machinery like mills, dryers, roasters, and coaters. This launch promises to revolutionise the industrial machinery market by enhancing efficiency, reducing costs, accelerating innovation, and providing a competitive advantage through the integration of AI-optimised equipment tailored to specific industrial processes.

What Are Latest Mergers And Acquisitions In The Artificial Intelligence (AI) In Industrial Machinery Market?

In October 2024, Siemens AG, a Germany-based technology company, acquired Altair Engineering Inc. for approximately USD 10 billion. Through this acquisition, Siemens aims to enhance its artificial intelligence (AI) engineering and industrial software capabilities by integrating Altair’s high-performance computing, simulation, and data science solutions into its Xcelerator platform and digital business offerings. Altair Engineering Inc. is a US-based company that develops AI-powered simulation and analysis software for the manufacturing, energy, and mobility sectors.

Regional Insights

North America was the largest region in the artificial intelligence (AI) in industrial machinery market in 2025. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain

What Defines the Artificial Intelligence (AI) In Industrial Machinery Market?

The artificial intelligence (AI) in the industrial machinery market consists of revenues earned by entities by providing services such as enhancing quality control, energy efficiency, maintenance, safety, and process optimisation. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the industrial machine market also includes sales of central processing units, field-programmable gate arrays, application-specific integrated circuits, and graphics processing units. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Artificial Intelligence (AI) In Industrial Machinery Market Report 2026?

The artificial intelligence (ai) in industrial machinery market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (ai) in industrial machinery industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.