Artificial Intelligence (AI) in Manufacturing Market by Offering (Hardware, Software, Services), by Technology (Computer Vision, Machine Learning, Natural Language Processing), by Application (Process Control, Production Planning, Predictive Maintenance & Machinery Inspection), by Industry (Automotive, Medical Devices, Semiconductor &Electronics), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast 2024-2032
The Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 1.82 USD billion in 2023 and is projected to reach USD 6.64 USD billion by 2032, exhibiting a CAGR of 20.3 % during the forecast period. AI in manufacturing is the technology using intelligent systems and algorithms in industrial settings for the improvement of productivity and decision making. It uses machine learning, robotics, and analytics to optimize manufacturing operations. Industrial areas of applications are supplying chain management (SCM), predictive maintenance (PM), quality control (QC), and autonomous robotics (AR). AI systems in manufacturing can be classified the following ways: supervised learning for predictive maintenance, unsupervised learning for anomaly detection, reinforcement learning for autonomous robotics, and natural language processing for human-machine interaction. A crucial part of this system includes sensors for data gathering, data processing systems, machine learning systems, robotics, and human-machine interfaces. Right now, trendsetting technologies such as AI with IoT for real-time monitoring, explainable AI for transparency, and AI-driven generative design for product innovation are the most important ingredients for the progress of the technology. Companies experiment with AI enabled replicas of the manufacturing process and AI based supply chains that enables them to be more efficient and resilient.
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North America and Europe are expected to hold a significant share due to high adoption of AI technologies, favorable government policies, and advanced manufacturing infrastructure. Asia-Pacific region is projected to exhibit the highest CAGR due to growing manufacturing sector in countries like China and India, coupled with increasing investments in AI research and development. Latin America and the Middle East are expected to witness moderate growth, as manufacturing sectors in these regions are gradually embracing AI technologies to improve efficiency and competitiveness.
Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 20.3% from 2018-2032 |
Segmentation |
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Aspects | Details |
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Study Period | 2018-2032 |
Base Year | 2023 |
Estimated Year | 2024 |
Forecast Period | 2024-2032 |
Historical Period | 2018-2023 |
Growth Rate | CAGR of 20.3% from 2018-2032 |
Segmentation |
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Note* : In applicable scenarios
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