Artificial Intelligence (AI) in Industrial Machinery Market Report 2025

The artificial intelligence (AI) in industrial machinery market size has grown exponentially in recent years. It will grow from $1.96 billion in 2024 to $2.54 billion in 2025 at a compound annual growth rate (CAGR) of 29.8%. The growth in the historic period can be attributed to automation demands, data proliferation, cost and efficiency improvements, rise of iot devices, advancements in ai algorithms.

The artificial intelligence (AI) in industrial machinery market size is expected to see exponential growth in the next few years. It will grow to $7.11 billion in 2029 at a compound annual growth rate (CAGR) of 29.4%. The growth in the forecast period can be attributed to predictive maintenance adoption, ai-powered quality control, enhanced safety protocols, edge computing integration, ai-driven energy optimization. Major trends in the forecast period include explainable ai in machinery, human-machine collaboration, ai-based supply chain optimization, customization and flexibility, ai-driven additive manufacturing.

The increasing adoption of artificial intelligence (AI) in the industrial sector is expected to drive the growth of the AI in the industrial machinery market in the near future. The industrial sector comprises companies that assist other businesses in manufacturing, delivering, or creating their products. AI enhances industrial processes, predicts machinery issues, and enables better smart services, leading to increased productivity, improved problem identification, and reduced machine failures for manufacturers. For instance, in March 2024, a report published by the United States Census Bureau, a U.S.-based federal statistical agency, noted that AI adoption is rapidly increasing, rising from 3.7% of companies in Fall 2023 to 5.4% in February 2024, with projections indicating an increase to 6.6% by Fall 2024. Additionally, the employment-weighted usage rate suggests that around 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.

The surge in cybersecurity is expected to contribute to the growth of the AI in the industrial machinery market in the foreseeable future. Cybersecurity, which involves safeguarding computer systems, networks, and data from unauthorized access and attacks, becomes increasingly crucial as the digital landscape evolves. The integration of artificial intelligence in the industrial machinery market not only enhances efficiency but also plays a role in bolstering cybersecurity through proactive threat detection, adaptive defenses, and intelligent response mechanisms. As of January 2023, a report from CompTIA indicated a significant increase in global IT security spending, reaching $71.68 billion in 2022. Large enterprises, on average, allocated $1 million annually to fortify their digital defenses. Heading into 2023, the frequency of cyber-attacks intensified, reaching an alarming rate of 2,200 attacks per day, occurring approximately every 39 seconds on average. Therefore, the rise in cybersecurity is a driving factor for the AI in the industrial machinery market.

The AI in industrial machinery market is witnessing a prominent trend in Product Innovation, with major companies striving to strengthen their market position through the development of innovative products. An example of this is the collaboration between Advantech Co. Ltd., a Taiwan-based company specializing in machine automation, IoT intelligent systems, and embedded computing, and Actility, a France-based IoT connectivity solutions company. In November 2022, they jointly introduced a distinctive AI-based solution for rotating machines. This solution incorporates the high-performance WISE-6610 LoRaWAN gateway, Advantech WISE-2410 vibration sensor, advanced Advantech iMachine or PHM application, and Actility's ThingPark Enterprise IoT network administration platform. The solution facilitates machine prediction and health monitoring, enabling the monitoring of multiple machines in real-time through a comprehensive machine health index encompassing ISO 10816 and deterioration levels.

Major companies are concentrating on launching products such as AI-powered design for industrial processing equipment. This involves leveraging AI algorithms and technologies to optimize the conceptualization, development, and performance of machinery used in industrial processing. An example of this is The University of Birmingham, a UK-based public research university, which unveiled an AI-powered design for industrial processing equipment in November 2023. This groundbreaking 'evolutionary design' approach is applicable to various machinery types, including mills, dryers, roasters, and coaters. The launch aims to revolutionize the industrial machinery market by enhancing efficiency, reducing costs, accelerating innovation, and providing a competitive advantage through the integration of AI-optimized equipment tailored to specific industrial processes.

In June 2022, Siemens AG, a Germany-based technology company, acquired Senseye for an undisclosed amount. This acquisition is intended to enhance Siemens's predictive maintenance and asset intelligence offerings for industrial companies, improving machine performance, reducing unplanned downtime, and promoting sustainability. Senseye is a UK-based provider of AI technology solutions focused on predictive maintenance and manufacturing.

Major companies operating in the artificial intelligence (AI) in industrial machinery market include Microsoft Corporation, Hitachi Ltd., Amazon Web Services Inc., Siemens AG, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Oracle Corporation, Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Rockwell Automation Inc., FANUC Corporation, Autodesk Inc., Arista Networks Private Limited, Pegasystems Inc., UiPath, Automation Anywhere Inc., Blue Prism Limited., C3.ai Inc., DataRobot Inc., Appen Limited, H2O.ai, Dataiku, WorkFusion Inc., Alphasense Inc., CrowdFlower Inc., Suki.AI, Clarifai Inc.

North America was the largest region in the artificial intelligence (AI) in industrial machinery market in 2024. The regions covered in the artificial intelligence (ai) in industrial machinery market report are Asia-Pacific, 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, Russia, South Korea, UK, USA, Italy, Spain, Canada.

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 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 an 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 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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