AI in Manufacturing Market projected to grow at a 29.7% CAGR from 2023 to 2032 to reach USD 28,343.6 million

Market Research Future (MRFR) has published on the “Global AI in Manufacturing Market”.

Market Research Future (MRFR) has published a cooked research report on the “AI in Manufacturing market” that contains information from 2019 to 2032. The AI in Manufacturing market is estimated to register a CAGR of 29.7% during the forecast period of 2024 to 2032.

MRFR recognizes the following companies as the key players in the AI in Manufacturing market - NVIDIA, Intel, Siemens, IBM, GE, Microsoft Corporation, Robert Bosch, Amazon Web Services, Cisco Systems Inc., and Rockwell Automation and others.

Market Highlights

The AI in Manufacturing market is accounted for to register a CAGR of 29.7% during the forecast period and is estimated to reach USD 28,343.6 million by 2032.

Artificial Intelligence, Machine Learning, and Deep Learning are increasingly utilized in the manufacturing industry to enhance the accuracy of predictions and improve supply chain and logistics operations. Manufacturers will be better placed to enhance their forecasting, reduce errors, and smoothen several processes with advanced technologies at their disposal. One example is that of the French food manufacturer Danone Group, which is sailing ahead in warmly embracing ML into its demand forecasting processes. According to a published article by Authority, Danone has had a reduction of 20% in their forecasting error, avoided a 30% decline in sales, and reduced the efforts of demand planners by 50%. Another perfect example is Thales SA, which already applies ML to predict maintenance for Europe's high-speed train systems.

Artificial intelligence is rapidly becoming the trend in automating the manufacturing process for industry. If the robots are fitted with artificial intelligence, they will be able to take charge of tasks needing extreme precision, enhancing their efficiency and productivity. Many factories have been able to reduce their cost of production, improve safety for workers, and increase overall output with the use of smart technology and AI. The reason behind this is that artificial intelligence supports manufacturers in reducing labor costs and, on the other hand, enhances production and efficiency within the plant. The makers are now experimenting with advanced automation systems, unified data stores for operational information, cut-down input that is required to keep production moving, and ramping output up or down in a flash.

Access full report @ https://www.marketresearchfuture.com/reports/artificial-intelligence-ai-in-manufacturing-market-7745

Segment Analysis

Based on the Type, the AI in Manufacturing market is bifurcated into Commercial Aviation and Military Aviation. Among the Type Commercial Aviation accounted for the largest market share with a market share of 77.2% in 2023, which is projected to grow at a CAGR of 5.1% during the forecast period. A network of electrical wiring, connectors, and components that transmit electrical power and signals throughout an aircraft is an Electrical Wiring Interconnection System.

Based on Technology, the global AI in Manufacturing market has been segmented into Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Context-Aware Computing, Machine Reasoning and Deep Learning. By technology, Machine Learning (ML) accounted for the largest market share with a market value of USD 780.4 million in 2023, which is projected to grow at a CAGR of 26.3% during the forecast period.

Based on Deployment, the global AI in Manufacturing market has been market based on Deployment is segmented into On-Cloud and On-Premises. By Deployment, Cloud-Based accounted for the largest market share with a market value of USD 2,599.1 million in 2023, which is projected to grow at a CAGR of 32.1% during the forecast period.

Based on the Organization Size, the AI in Manufacturing market is bifurcated into SMEs and Large Enterprises. Among these Large Enterprises accounted for the largest market share with a market share of 77.2% in 2023, which is projected to grow at a CAGR of 30.8% during the forecast period. An enterprise of large size refers to a body that usually consists of over 1,000 employees and generates considerable revenue.

Based on Application Area, the global AI in Manufacturing market has been segmented into Predictive Maintenance and Machinery Inspection, Quality Control and Inspection, Production Planning and Management, Inventory Management, Predictive Analytics, Robotics and Automation, Energy Management, Supply Chain Optimization and Others. By Application Area, Predictive Maintenance and Machinery Inspection accounted for the largest market share with a market value of USD 592.4 million in 2023, which is projected to grow at a CAGR of 31.7% during the forecast period.

Based on End Use Industry, the global AI in Manufacturing market has been market based on end-use Industry is segmented into Automotive, Electronics and Semiconductors, Pharmaceuticals and Chemicals, Food and Beverages, Heavy Metals and Machinery, Energy and Utilities, Textiles and Apparel, Aerospace and Defense, Consumer Goods and Other. By End-use Industry, Electronics and Semiconductors accounted for the largest market share with a market value of USD 616.2 million in 2023, which is projected to grow at a CAGR of 26.3% during the forecast period. The integration of AI in semiconductor manufacturing and design offers immense benefits, including the need for substantial data collection and the potential for increased complexity in system management.

Regional Analysis

By Region, the study provides market insights into North America, Europe, Asia-Pacific, Middle East & Africa, and South America.  Asia-Pacific is anticipated to dominate the AI in Manufacturing market in 2023 and exhibit the highest CAGR during the forecast period.

Among Region, Asia-Pacific holds the highest market share of 31.2% in 2023 in AI in Manufacturing market, the market for Asia-Pacific was valued at USD 1,327.0 Million in 2023 and is anticipated to reach USD 11,639.5 Million in 2032 growing at a CAGR of 31.2%.

North America accounted for a considerable market share in 2023. In the United States, artificial intelligence is being integrated into precision manufacturing, enabling predictive maintenance and intelligent automation. This technology is not only increasing the country's worldwide manufacturing competitiveness, but it is also driving substantial industry improvements.

The Europe AI in Manufacturing market is sub segmented into France, Germany, Italy, the UK, Russia, and the Rest of Europe. The European market is predicted to grow at a steady pace over the forecast period, owing to the government's increased initiative to construct smart factories across Europe. The European Union's (EU) Al policy aims to position the EU as a leading Al center while also ensuring that Al is created and used in a way that respects human values and is trustworthy.

Asia-Pacific consists of China, Japan, India, South Korea and rest of APAC. The Asia-Pacific area is predicted to grow significantly at the highest CAGR during the forecast period. The manufacturing market for artificial intelligence (AI) in this region is witnessing rapid expansion and transformation. This sector is undergoing a tremendous transformation as AI technologies gain rapid acceptance and integration throughout Asia's manufacturing industries.

The Middle East & Africa have been witnessing significant growth in manufacturing industries. In middle east and Africa countries such as UAE, Egypt, and Saudi Arabia have been investing heavily in their economies. This is one of the primary factors which is strengthening the manufacturing sector in the region. The Gulf Cooperation Council's manufacturing industry has been making significant advances owing to the improved technology acquisition and integration of advanced technology in the manufacturing sector.

Key Findings of the Study

• Global AI in Manufacturing Market expected to reach USD 28,343.6 Million by 2032.


• Market growing at a CAGR of 29.7% during 2024–2032.


• Some of the key players operating in the market are Microsoft, Amazon, Cisco, Robert Bosch and Other which have substantial presence in the market.


• Based on type the market is segmented into Hardware, Software and Services. Among Type Software segment holds the larger market share in 2023 and is expected to register a significant CAGR during the forecast period.


• Based on Technology, the market is segmented into Machine Learning (ML), Computer Vision, Natural Language Processing (NLP), Context-Aware Computing, Machine Reasoning and Deep Learning. Among Application, the Machine Learning (ML) segment holds the largest market share and is expected to reach its highest CAGR during the forecast period.