AI in manufacturing Market Research Report ‚ÄĒ Global Forecast till 2030

Artificial Intelligence (AI) in Manufacturing Market: by Component (Software, Service, Hardware (Network, Processor (ASIC, FPGA, GPU)), by Technology (Deep Learning, NLP), by Application (Robot, Quality Control), by Vertical (Automobile, Pharmaceutical) ‚ÄĒ Forecast till 2030

ID: MRFR/ICT/6276-HCR | 100 Pages | Author: Aarti Dhapte | February 2024         

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Artificial Intelligence (AI) in Manufacturing Market Synopsis:


The artificial intelligence (AI) in manufacturing market was valued at USD 2.45 billion in 2022; it is estimated to reach USD 53.69 billion by 2030 at a 47.1% CAGR during the forecast period 2023–2030. 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 Artificial Intelligence (AI) in Manufacturing Market. However, data security & privacy concerns, and high integrating cost of AI-based solutions are some major factors hindering the market growth. 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. Whereas, the lack of skilled expertise is a major challenge in the Artificial Intelligence (AI) in Manufacturing Market.

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.


Artificial Intelligence (AI) in Manufacturing Market Recent Developments:



  • In February 2019, Qualcomm Technologies, Inc., introduced “Qualcomm Robotics RB3 platform”. The platform is deployed on “Qualcomm SDA/SDM845 system-on-chip (SoC)” and is capable of incorporating high-performance heterogeneous computing, 4G/LTE support, Qualcomm AI-based engine, mapping and navigation, and advanced security among others.

  • In October 2018, Audi, one of the pioneers in automobile manufacturing, has announced to integrate its production facilities with machine learning software. With this software, the company is aiming at improvising its quality testing and inspection process.


AI in Manufacturing Market Segmentation: 


The global artificial intelligence (AI) in manufacturing market has been segmented into component, technology, application, vertical, and region.



  • By component, the market has been segmented into hardware, software, and services. By hardware the market has been segmented into processor, memory, and network. The processor segment covers microprocessor unit (MPU), graphical processing unit (GPU), field programmable gate array (FPGA), and application-specific integrated circuits (ASICs). Whereas, the services segment has been further breakdown into deployment & integration, and support & maintenance.

  • By technology, the Artificial Intelligence (AI) in Manufacturing Market market has been segmented into machine learning & deep learning, natural language processing, context-aware computing, and computer vision.

  • By application, the Artificial Intelligence (AI) in Manufacturing Market has been sub-segmented into predictive maintenance, supply chain management, IT management, field services, quality control, robotics, and others

  • By vertical, the Artificial Intelligence (AI) in Manufacturing Market has been classified into automobile, aerospace & defense, energy & power, semiconductor & electronics, food & beverage, pharmaceuticals, and others.

  • By region, the Artificial Intelligence (AI) in Manufacturing Market has been segmented into North America, Europe, Asia-Pacific, and the rest of the world.


AI in Manufacturing Market Regional Analysis: 


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.


Global Artificial Intelligence (AI) in Manufacturing Market, 2022–2030 (USD Billion)


Source: Company websites, Annual Reports, Secondary research, Press Releases, Paid Database, Expert interviews, White papers, Journals, Case Studies, MRFR Analysis 


AI in manufacturing Market Key Players:


Market Research Future has identified following key players in the market—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, and others.


Intended Audience:



  • Investors and consultants

  • System Integrators

  • Government Organizations

  • Research/Consultancy firms

  • Technology solution providers

  • Software Developers

  • OEMs


Latest Industry News of AI in Manufacturing Market :


Manufacturing, which accounts for 476,800 jobs in the Triad region, according to the U.S. Department of Labor Statistics, is one of the many industries that artificial intelligence (AI) and machine learning (ML) are having a big impact on. Manufacturers have embraced AI and ML in recent years to increase operational effectiveness, cut costs, and improve product quality.


NVIDIA today unveiled four inference platforms that are optimised for a variety of quickly developing generative AI applications. These platforms will be available in march 2023, and they will aid developers in building specialised, AI-powered applications that can provide fresh services and insights.


The systems integrate the most recent NVIDIA Ada, NVIDIA Hopper, and NVIDIA Grace Hopper processors, including the NVIDIA L4 Tensor Core GPU and the NVIDIA H100 NVL GPU, both introduced today, with NVIDIA's full stack of inference software. Each platform is prepared for popular workloads including AI video, creating images, deploying big language models, and recommender inference.


To assist businesses in sectors like manufacturing, oil and gas, consumer packaged goods, and pharmaceuticals transform production, Tata Consultancy Services (TCS) announced the debut of its 5G-enabled solution, TCS Cognitive Plant Operations Counselor for the Microsoft Azure Private Mobile Edge Computing (PMEC) platform, in 2023. This solution uses AI and machine learning to make production more intelligent, agile, and resilient.

Report Scope:

Report Attribute/Metric Details
  Market Size   USD 53.69 billion (2030)
  CAGR   47.1% (2023-2030)
  Base Year   2022
  Forecast Period   2023-2030
  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.




Frequently Asked Questions (FAQ) :

The market achieved a valuation of 53.69 billion in 2030.

The market will be recording 47.1% CAGR for its growth.

The market will be witnessing its growth during the years of 2023–2030

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

Key Questions Answered

  • Global Market Outlook
  • In-depth analysis of global and regional trends
  • Analyze and identify the major players in the market, their market share, key developments, etc.
  • To understand the capability of the major players based on products offered, financials, and strategies.
  • Identify disrupting products, companies, and trends.
  • To identify opportunities in the market.
  • Analyze the key challenges in the market.
  • Analyze the regional penetration of players, products, and services in the market.
  • Comparison of major players‚Äô financial performance.
  • Evaluate strategies adopted by major players.
  • Recommendations
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