AI in Industrial Machinery Market Report 2026

The artificial intelligence (AI) in industrial machinery market size has grown exponentially in recent years. It will grow from $2.52 billion in 2025 to $3.26 billion in 2026 at a compound annual growth rate (CAGR) of 29.2%. The growth in the historic period can be attributed to automation of manufacturing processes, rising industrial downtime costs, expansion of sensor enabled machinery, demand for operational efficiency, adoption of smart factory concepts.

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.

The increasing adoption of artificial intelligence (AI) in the industrial sector is anticipated to drive future growth of the AI in industrial machinery market. The industrial sector forms a part of the economy made up of companies that support other businesses in manufacturing, delivery, or product creation. AI enhances industrial operations by optimising processes, predicting equipment failures, and enabling advanced smart services, which leads to higher productivity, quicker issue detection, and lower machine breakdowns for manufacturers. For instance, in March 2024, according to a report released by the United States Census Bureau, a US-based federal statistical agency, AI adoption was rising rapidly, increasing from 3.7% of companies in Fall 2023 to 5.4% in February 2024, with projections showing it could reach 6.6% by Fall 2024, while employment-weighted usage data indicates that nearly 12% of workers in firms may be utilising AI by that time. Therefore, the expanding use of AI in the industrial sector is fueling the growth of the AI in industrial machinery market.

Major companies operating in the AI in the industrial machinery market are concentrating on product launches, such as AI-powered design solutions for industrial processing equipment, to enhance machinery design efficiency. AI-powered design for industrial processing equipment refers to the application of artificial intelligence algorithms and technologies to improve the planning, development, and operational 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 solution for industrial processing equipment. This introduction features an innovative “evolutionary design” method that can be applied to various types of machinery, including mills, dryers, roasters, and coaters. This launch is expected to significantly transform the industrial machinery market by improving efficiency, lowering costs, speeding up innovation, and delivering a competitive edge through AI-optimised equipment tailored for specific industrial needs.

In October 2024, Siemens AG, a Germany-based technology company, acquired Altair Engineering Inc. for approximately USD 10 billion. With this acquisition, Siemens seeks to strengthen its artificial intelligence (AI) engineering and industrial software capabilities by incorporating Altair’s high-performance computing, simulation, and data science technologies into its Xcelerator platform and digital business portfolio. Altair Engineering Inc. is a US-based company that specialises in developing AI-driven simulation and analysis software for the manufacturing, energy, and mobility industries.

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.

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. The countries covered in the artificial intelligence (AI) in industrial machinery market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have impacted the AI in industrial machinery market by increasing costs of imported sensors, robotics components, and AI enabled hardware. Manufacturing hubs in Asia Pacific, Europe, and North America have faced higher capital expenditure pressures. These costs have slowed equipment upgrades in some facilities. However, tariffs are encouraging localized manufacturing and software driven optimization solutions. This trend is strengthening domestic industrial technology ecosystems and reducing long term hardware dependence.

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

The integration of artificial intelligence (AI) in industrial machines involves leveraging AI technologies to transform these machines into smart entities, enabling them to generate multiple solutions. AI applications in industrial machinery encompass predictive maintenance, real-time monitoring, and process optimization, contributing to heightened efficiency, reduced downtime, and increased overall production output.

The primary components of artificial intelligence (AI) in industrial machinery include hardware, software, and services. Hardware constitutes the physical elements of a computer or device, such as the motherboard and storage drives, employed to accelerate computation-intensive tasks within AI algorithms in industrial machines. This hardware plays a crucial role in enhancing uptime, increasing yield, and minimizing downtime. Various technologies, including machine learning, computer vision, context awareness, and natural language processing, find application in predictive maintenance, quality control, process optimization, supply chain optimization, intelligent robotics, autonomous vehicles and guided systems, energy management, and human-machine interfaces. These applications cater to diverse end-users such as those in commercial, agriculture, construction, packaging, food processing, mining, and semiconductor manufacturing.

The artificial intelligence (AI) in industrial machinery market consists of revenues earned by entities by providing services such as enhancing quality control, energy efficiency, maintenance, safety, and process optimization. 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.

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.

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