The Artificial Intelligence (AI) in Manufacturing Market industry is projected to grow from USD 2.03 Billion in 2023 to USD 31.47 Billion by 2032, exhibiting a compound annual growth rate (CAGR) of 35.60% during the forecast period (2023 - 2032).
Figure 1: Artificial Intelligence (AI) in Manufacturing Market Size, 2023 - 2030 (USD Billion)
Industry 4.0 or smart maintenance, predictive maintenance, testing, and quality optimization, supply chain communication, and yield enhancement are some of the use cases of artificial intelligence in manufacturing. Artificial intelligence and machine learning are benefitting industry 4.0 in automated production and monitoring process in smart factories, advanced digitized networks, automation of quality and inspection process, decentralized manufacturing system, and others.
The global artificial intelligence (AI) in manufacturing market has been segmented into component, technology, application, vertical, and region.
Market Research Future (MRFR) study has covered the following countries in the regional analysis of artificial intelligence (AI) in the manufacturing market—the US, Canada, and Mexico in North America; Germany, the UK, France, Russia, Spain, the Netherlands, and Italy in Europe; China, Japan, India, Singapore, Australia, the Philippines, and South Korea in Asia-Pacific; and the Middle East & Africa and South America in the rest of the world.
Artificial intelligence in manufacturing market is currently dominated by Asia-Pacific region as the primary economic countries such as China, India, South Korea, and the Philippines are the major manufacturing centers of semiconductors, electronics, energy & power, and pharmaceuticals. Further, increasing adoption of robots in manufacturing processes is expected to aid the region in dominating the Artificial Intelligence (AI) in Manufacturing Market throughout the forecast period.
North America is the second highest contributor in artificial intelligence market. The US is the early adopter of new technologies for application such as factory automation, process planning, engineering design, and production scheduling among others.
Artificial intelligence (AI) in the manufacturing market in Europe is projected to gain high momentum during the forecast period due to increasing adoption of industry 4.0 and robotics by automotive, and aerospace industry.
Market Research Future has identified following key players in the market
Intel Inc.
IBM Corporation
Siemens AG
General Electric company
Google, Inc.
Amazon Web Services
Bosch
Rockwell Automation
Cisco Systems
SAP SE
Foxconn, and others.
April 2023
Siemens and Microsoft collaborate to integrate AI into industrial processes, enhancing productivity and innovation. Through AI-powered apps and automation software engineering, they aim to streamline workflows and accelerate development in manufacturing. Industrial AI enables real-time quality inspection, defect detection, and prevention, fostering efficiency and cost-effectiveness in production.
May 2023
Leading electronics manufacturers like Foxconn, Innodisk, Pegatron, Quanta, and Wistron are utilizing NVIDIA Generative AI and Omniverse to digitalize their factories, enhancing production efficiency and lowering costs. Through a comprehensive reference workflow, these companies are leveraging NVIDIA technologies for generative AI, 3D collaboration, simulation, and autonomous machines to optimize factory operations. This collaboration aims to improve quality and safety while reducing costly surprises and delays in the manufacturing process. NVIDIA's ecosystem of partners, including Foxconn Industrial Internet, Innodisk, Pegatron, Quanta, and Wistron, is instrumental in advancing industrial digitalization efforts across the electronics manufacturing sector.
November 2023
AWS and Siemens collaborate to integrate OT and IT in manufacturing, leveraging AI to enhance efficiency and decision-making. The deployment of AWS IoT SiteWise Edge from Siemens Industrial Edge Marketplace streamlines data ingestion, enabling AI-driven insights from machine to cloud. This integration aims to break down data silos, facilitating seamless exchange of AI-driven insights for improved operational efficiency and decision-making in manufacturing. The offering enables scalable deployment of AI-driven edge-to-cloud applications, empowering manufacturers to optimize their operations effectively.
| Report Attribute/Metric | Details |
| Market Size | USD 31.47 billion (2032) |
| CAGR | 35.60% (2023-2030) |
| Base Year | 2022 |
| Forecast Period | 2023-2032 |
| Historical Data | 2018-2022 |
| Forecast Units | Value (USD Billion) |
| Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
| Segments Covered | by Component, by Technology |
| Geographies Covered | North America, Europe, Asia-Pacific, and Rest of the World (RoW) |
| Key Vendors | Nvidia Corporation, Intel, Inc., IBM Corporation, Siemens AG, General Electric company, Google, Inc., Microsoft Corporation, Amazon Web Services, Bosch, Rockwell Automation, Cisco Systems, SAP SE, Foxconn |
| Key Market Opportunities | The developing market of big data technology and increasing application of AI for business intelligence are some factors bringing fruitful opportunities for the market in the coming years. |
| Key Market Drivers | Developing market of industry 4.0 and smart factories, increasing adoption of automation by SMEs as well as large enterprises, and development in advanced technologies such as artificial intelligence, machine learning & deep learning are some of the prime factors driving the growth of the market. |
Artificial Intelligence (AI) in manufacturing Market Highlights:
Frequently Asked Questions (FAQ) :
The market achieved a valuation of 31.47 billion in 2032.
The market will be recording 35.60% CAGR for its growth.
The market will be witnessing its growth during the years of 2023–2032.
The developing market of big data technology and snowballing application of AI for business intelligence are factors for the market’s growth in the coming years.
The market is currently led by the Asia-Pacific region because of economic countries such as China, India, South Korea, and the Philippines being main centers of semiconductors, electronics, energy & power, and pharmaceuticals.
An amalgamation of AI in the manufacturing industry offers a safer operational environment, which further assists in enhancing the quality and quantity of production.
Artificial intelligence is benefitting industry 4.0 in automated production and monitoring process in smart factories, advanced digitized networks, automation of quality and inspection process, decentralized manufacturing system
advanced technologies such as artificial intelligence, machine learning & deep learning
Team Lead - Research she holds an experience of about 6+ years in market research and business consulting, working under the spectrum of information communication technology, telecommunications and semiconductor domains. aarti conceptualizes and implements a scalable business strategy and provides strategic leadership to the clients. her expertise lies in market estimation, competitive intelligence, pipeline analysis, customer assessment, etc.
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