Global AI in Industrial Machinery Market size was valued at USD 6.56 Billion in 2024 and the total AI in Industrial Machinery Market revenue is expected to grow at a CAGR of 27.34 % from 2023 to 2035, reaching nearly USD 34.34 Billion.
AI in Industrial Machinery Market Overview
AI in Industrial Machinery Market refers to applying AI technologies and algorithms in industrial machinery and equipment manufacturing design and operation. The aim is to enhance automation, streamline processes, to drive AI in Industrial Machinery Market Growth. The success of incorporating AI features such as machine learning, computer vision, and predictive analytics into industrial systems. AI is a significant force for disruption and an instrument to attain industrial manufacturing competitive advantage. Those manufacturing firms that fail to understand the significance of AI will likely lose their competitiveness. The primary motivations for applying AI technologies in industrial Machinery settings are fueled by the desire to help make decisions or act, automate repetitive and Reduce cost and enhance reliability, and decision-making through revolutionizing AI in industrial Machinery market.
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Growing demand for Industrial Machinery to increase the market growth
AI in Industrial Machinery Market has been Increasing the demand and development in manufacturing over the past few years, making factories less labor-intensive and more efficient than ever before. The entry of AI in Industrial Machinery Market is a breakthrough for the machinery and manufacturing industry. Industrial machinery is completely reliant on programming to take own decisions based on AI-based information. The uses of AI in Industrial Machinery Market are various ranging from sophisticated forecasts to quality control and waste minimization. AI in Industrial Machinery is applied for planning, scheduling, optimization, robotics, and machine vision. Additionally, AI gives manufacturers more capacity and space to grow the business, but it also offers us a prospect for a greener and more convenient AI in Industrial Machinery Future. The AI in Industrial Machinery manufacturing sector has always been on hand to adopt new-age technologies. Drones have been a part of the Industrial Machinery Market along with industrial robots. The next automation revolution is on the way with the adoption of AI if businesses are able to maintain lean inventories and cut the cost, there is a strong likelihood that the manufacturing sector will be facing an en-abling evolution. The application of AI in the industrial machinery sector is phenomenal.
AI in Industrial Machinery Market robot collaboration allows manufacturers to provide generative products quicker. AI in Industrial Machinery Market revolutionizing how manufacturers create products. The AI solution for industrial machinery provides insights into optimal design. AI provides advantages to manufacturing businesses. These elements are propelling the market growth in the forecast period. For example, BMW employs AI in product quality, General Motors employs AI in intelligent maintenance, and Nissan employs AI in manufacturing for designing Ultra- Modern vehicles. And numerous biggest brands are employing AI in manufacturing operations.
AI in Industrial Machinery Market Trends
AI Development and Future Trends in Industrial Machinery Market
AI in Industrial Machinery Market is anticipating huge growth fueled by market trends and prospects. AI has become highly entrenched in industrial and other applications, with early applications utilizing AI in industrial machinery and portraying their uses, and widening the primary production. Industrial machinery is evolving together with society, and digitalization is fast pushing market growth. AI technologies combined with IoT devices form a strong alliance called AIoT. AI in the industrial machinery industry has been an increasing demand for robots. AI in Industrial Machinery Market has continued to improve computer visualization and has been utilized for years for quality control by identifying product defects in real-time. But with manufacturing now using more information than ever combined with the fact that plant managers don’t want to compensate workers for inputting information AI with computer vision can make sense of how information is captured. Knowledge work is being automated within the AI in the Industrial Machinery market revolution; through creating new ways of automating manufacturing jobs, are creating the way people and machines live, work, and interact to build a stronger digital economy. The AspenTech, Industrial AI Research discovered that 83% of large industrial companies believe AI creates better results, but only 20% have utilized it. There won’t be extensive use of artificial intelligence in the industrial sector unless a major investment is made in gaining domain knowledge. Both of them constitute what is called AI in Industrial Machinery Market that is the use of machine learning technologies to normally non-academic environments.
AI is automating Factories
Robotics coupled with AI can disburden you from very specialized tasks. AI in Industrial Machinery Market is applying intelligent technology to reduce cost of production, safeguard human workers, and maximize efficiency. AI in Industrial Machinery Market can very well cut costs on labor and enhance productivity and efficiency at their factories. The other applications are among the several applications. The finest example of factory automation is Siemens. The firm has tied up with Google to enhance shop floor productivity with the help of computer vision, cloud-based analytics, and artificial intelligence algorithms.
AI for Quality Inspection
Quality control in the industrial machinery segment is where AI is most urgently required. Industrial robots, too, can go wrong, even though this is far less frequently than a human. Having substandard products roll off the assembly shipped to the consumer can cost dearly. Machine learning (ML) and artificial intelligence (AI) merge human minds with advanced technologies to create revolution in manufacturing operations. AI Industrial Machinery Market is able to find small defects in industrial machinery or products that cannot be found by robots. Products are scanned by AI software to identify defects automatically through hardware like cameras and Internet of Things sensors. The computer makes decisions about what to do with faulty products automatically. Producers maintain quality products with a shorter production time by carrying out rigorous quality testing with Ai in the industrial machinery industry.
AI assists in accelerating sustainable development goals in the industrial machinery industry
The Industrial Machinery Market for AI employs AI to save GHG emissions between 2.6 and 5.3 gigatonnes of CO2 and generate USD 1.3 trillion to USD 26 trillion in value through incremental revenues and cost savings. Businesses will employ AI and analytics to track their own carbon footprint and discover methods for lowering carbon emissions. Such as reading waste, i.e., decreasing plastic pollution in the sea, and creating environmentally friendly products and production techniques. AI applied to industrial equipment can utilize AI and Analytics to make workers safe due to improved technology in the industrial equipment market
| by Components | Hardware Software Services | |
| by Application | Cybersecurity Energy management HMI Maintenance Motion planning Safety Quality control | |
| by EndUser | Banking Government Healthcare Manufacturing Retail Professional services | |
AI in Industrial Machinery Market, by Region
North America (United States, Canada and Mexico) Europe (UK, France, Germany, Italy, Spain, Sweden, Austria, Turkey, Russia and Rest of Europe) Asia Pacific (China, India, Japan, South Korea, Australia, ASEAN and Rest of APAC) Middle East and Africa (South Africa, GCC, Egypt, Nigeria and Rest of ME&A) South America (Brazil, Argentina, Columbia and Rest of South America)
AI in Industrial Machinery Market Players
The industrial machinery market consists of leading industrial technology companies. These players are concentrating on using AI-based solutions in machinery to enable predictive maintenance, real-time analytics, and automation. Strategy includes increasing the product line equipped with AI and strategic partnerships to enhance innovation as well as drive operational efficiency by acquiring technology startup companies.
1. General Electric Company
2. ABB Ltd.
3. Mitsubishi Electric Corporation
4. Schneider Electric SE
5. Honeywell International Inc.
6. Rockwell Automation, Inc.
7. Fanuc Corporation
8. IBM Corporation
9. Microsoft Corporation
10. Intel Corporation
11. Rockwell Automation
12. GE
13. Mythic
14. VIDIA
15. Uptake
16. Veo Robotics
17. Automation Anywhere
18. Machina Labs, Inc.
19. Bosch Rexroth AG
20. Yaskawa Electric Corporation
21. KUKA AG
22. FANUC Corporation
23. Omron Corporation
24. Cognex Corporation
25. Intel Corporation
26. NVIDIA Corporation
27. Google LLC
28. Amazon Web Services, Inc.
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