Artificial Intelligence (AI) in manufacturing Market Summary
As per MRFR Analysis, the Artificial Intelligence (AI) in Manufacturing Market was valued at 2.95 USD Billion in 2023 and is projected to grow to 22.5 USD Billion by 2035, reflecting a CAGR of 18.44% from 2025 to 2035. The market is driven by the increasing demand for automation, advancements in AI technologies, and a focus on predictive maintenance.
Key Market Trends & Highlights
Key trends driving the AI in Manufacturing Market include:
- Growing focus on automation, with 70% of industrial enterprises investing in automation technology.
- Predictive maintenance could save maintenance costs by up to 25% and extend equipment life by 50%.
- By 2025, around 4 million industrial robots are expected to operate globally, enhancing operational efficiency.
- AI-driven solutions have led to a reported 30% reduction in manufacturing time and a 20% decrease in operating costs.
Market Size & Forecast
2023 Market Size: USD 2.95 Billion
2024 Market Size: USD 3.5 Billion
2035 Market Size: USD 22.5 Billion
CAGR (2025-2035): 18.44%
Largest Regional Market Share in 2024: North America.
Major Players
Key players include IBM, Rockwell Automation, SAP, Infosys, NVIDIA, Fuji Electric, PTC, Tesla, Microsoft, Honeywell, C3.ai, Siemens, Oracle, and General Electric.
Key Artificial Intelligence (AI) in Manufacturing Market Trends Highlighted
Various elements are driving notable trends in Global Artificial Intelligence (AI) in the Manufacturing Market. Growing focus on automation and manufacturing process efficiency is one of the leading market factors. To boost production, reduce mistakes, and streamline supply chain control, many businesses are using artificial intelligence technology. The need to stay competitive in a fast-changing technology scene drives much of this transition. The growth of IoT (Internet of Things) and big data analytics has also opened doors for artificial intelligence to examine enormous quantities of data produced by industrial processes, hence facilitating improved decision-making and predictive maintenance.
Furthermore, there are plenty of chances for artificial intelligence to be integrated into smart factories and the creation of sophisticated production systems. Manufacturers are investigating how artificial intelligence may help with quality control and real-time monitoring, guaranteeing that goods satisfy lofty standards, and so cutting waste. Governments all around the globe are backing projects encouraging digital transformation in industry, therefore driving significant investment in artificial intelligence technology. Particularly in areas with developed manufacturing centres, this support increases awareness and motivates broad adoption among manufacturers. Recently, the emphasis has been on creating more cooperative robots, or cobots, that improve operational flexibility by working with human labourers.
AI-driven systems' tendency of customizing manufacturing lets increasingly tailored items meet particular customer demand. Businesses are also incorporating artificial intelligence into their sustainability efforts as they are aware of its significance. The world manufacturing industry is poised to alter dramatically as these trends develop, hence increasing efficiency and improving creativity.
Figure 1: Artificial Intelligence (AI) in Manufacturing Market Overview
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence (AI) in Manufacturing Market Drivers
Increased Demand for Automation in Manufacturing Processes
The rising need for automation in many industries is driving significantly expansion of the Global Artificial Intelligence (AI) market in the Manufacturing Market. According to the World Economic Forum, about 70% of industrial enterprises worldwide are investing in automation technology. The desire to improve operational efficiency and lower labor expenses drives this trend. Leading this change are major companies like Siemens and General Electric, which are embedding artificial intelligence into their production procedures.
Adopting AI-driven solutions has led to a claimed 30% drop in manufacturing time and a 20% cut in running expenses. The incorporation of artificial intelligence solutions becomes inevitable as businesses want to stay competitive, thereby driving market expansion even more.
Advancements in Artificial Intelligence Technologies
Ongoing developments in Artificial Intelligence technology primarily drive Global Artificial Intelligence (AI) in the Manufacturing Market Industry. A report from the International Data Corporation estimates that worldwide expenditure on artificial intelligence technologies will reach $110 billion by 2024. Tech behemoths like IBM and Microsoft are spending significantly in Research and Development, developing creative AI solutions for predictive maintenance and quality control.
These developments help drive market growth by allowing manufacturers to reduce downtime by around 25% and enhance product quality.
Growing Focus on Predictive Maintenance
Predictive maintenance is pushing Global Artificial Intelligence (AI) in the Manufacturing Market Industry. Estimates from the U.S. Department of Energy indicate that predictive maintenance might save maintenance expenditures by as much as 25% and extend equipment life by up to 50%. Using artificial intelligence to put predictive maintenance plans into action, companies like Bosch and Honeywell are achieving significant cost reductions and higher production efficiency.
Manufacturers aiming to improve operational efficiency and reduce unplanned downtime drive an increasing need for such solutions.
Implementation of Industry 4.0 Standards
A key engine of Global Artificial Intelligence (AI) in the Manufacturing Market Industry is the march toward Industry 4.0. By 2025, the International Federation of Robotics estimates there will be around 4 million operating industrial robots globally. Using artificial intelligence helps businesses move toward smart factories to make better decisions by allowing them to use real-time data analysis. Companies like ABB and Rockwell Automation are leaders in incorporating artificial intelligence into their Industry 4.0 systems, hence promoting smooth connection and operational efficiency.
This change is significantly increasing the use of artificial intelligence technologies in manufacturing, hence fostering a good atmosphere for market expansion.
Artificial Intelligence (AI) in Manufacturing Market Segment Insights
Artificial Intelligence (AI) in Manufacturing Market Application Insights
The Global Artificial Intelligence (AI) in Manufacturing Market application segment is a rapidly growing area, projecting a valuation of 3.5 USD Billion in 2024 and expected to reach 22.5 USD Billion by 2035, showcasing substantial market growth driven by advancements in technology and increasing demand for operational efficiency. Within this segment, Predictive Maintenance holds a majority share, valued at 1.0 USD Billion in 2024 and projected to expand to 6.5 USD Billion by 2035, highlighting its significance in minimizing downtime and maintenance costs through real-time monitoring and data analysis.
Quality Control is another vital area, currently valued at 0.8 USD Billion in 2024, growing to 5.0 USD Billion in 2035; its importance is underscored by the need for manufacturers to maintain high product standards while reducing defects. Supply Chain Management, valued at 0.7 USD Billion in 2024 and anticipated to reach 4.5 USD Billion by 2035, enables companies to enhance their logistics and inventory management, optimizing overall efficiency in operations. Robotics, currently at 0.9 USD Billion in 2024 and expected to grow to 5.5 USD Billion by 2035, plays a crucial role in automating repetitive tasks, thereby increasing productivity and allowing human workers to focus on more complex functions.
Lastly, Production Planning, although valued at 0.1 USD Billion in 2024 and projected to rise to 1.0 USD Billion by 2035, remains essential for streamlining manufacturing processes and ensuring timely delivery of products. Together, these components illustrate the strong potential and diverse applications of AI in the manufacturing sector, driven by the need for efficiency, higher performance, and reduced operational risks in a globalized marketplace. The Global Artificial Intelligence (AI) in Manufacturing Market revenue is fueled by the increasing adoption of AI technologies across different regions, ensuring a competitive edge for manufacturers willing to invest in these innovative solutions.
Additionally, the integration of AI in manufacturing is seen as a response to challenges such as labor shortages and the need for sustainability, paving the way for future innovations that will shape the industry landscape. The Global Artificial Intelligence (AI) in Manufacturing Market segmentation underscores the variety of opportunities available, as companies leverage these applications to drive growth and maintain leadership in the market. Ultimately, the investment in AI solutions across applications signifies a transformative shift within the manufacturing industry that emphasizes data-driven decision making and the importance of staying ahead in a highly competitive global economy.
Figure 2: Artificial Intelligence (AI) in Manufacturing Market Insights
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence (AI) in Manufacturing Market Technology Insights
The Global Artificial Intelligence (AI) in Manufacturing Market has been evolving steadily, with a projected valuation of 3.5(USD Billion) by 2024 and expected to reach 22.5(USD Billion) by 2035. This segment showcases a robust Compound Annual Growth Rate (CAGR) of 18.44 from 2025 to 2035. Key technology areas within this market include Machine Learning, Natural Language Processing, Computer Vision, Robotic Process Automation, and Deep Learning. Machine Learning is increasingly significant for predictive maintenance and supply chain optimization, enhancing operational efficiency across manufacturing lines.
Natural Language Processing offers manufacturers solutions for improving communication between machines and humans, facilitating better decision-making processes. Computer Vision plays a crucial role in quality control, enabling real-time defect detection during production. Robotic Process Automation simplifies repetitive tasks, allowing organizations to focus on valuable operations. Deep Learning supports advanced data analytics, driving insights that lead to innovative manufacturing solutions. The increasing demand for automation, rising labor costs, and the need for data-driven decision-making present numerous opportunities for market growth and advancements in these technologies within the Global Artificial Intelligence (AI) in Manufacturing Market.
Artificial Intelligence (AI) in Manufacturing Market Deployment Type Insights
The Global Artificial Intelligence (AI) in Manufacturing Market is demonstrating significant growth, projected to reach a value of 3.5 USD Billion by 2024. Within this expansive market, the Deployment Type segment is critical as it influences how AI technologies are integrated into manufacturing processes. It primarily consists of On-Premise, Cloud, and Hybrid models. On-Premise solutions provide manufacturers with enhanced control and customization but require substantial investment in IT infrastructure. Conversely, Cloud deployments are gaining traction for their scalability, flexibility, and lower upfront costs, positioning them as a preferred choice among organizations looking to optimize operations with greater ease.
The Hybrid model, which combines both On-Premise and Cloud capabilities, is also becoming increasingly significant as it allows enterprises to capitalize on the benefits of both approaches. This trend highlights the versatility needed in the manufacturing industry, where demand for real-time data analysis and automation is growing. The Global Artificial Intelligence (AI) in Manufacturing Market revenue reflects an industry adapting rapidly to technological advancements, driven by the need for efficiency and competitiveness amid evolving market demands.
Key growth drivers include the rising need for operational efficiency, reduced costs, and improved product quality. However, challenges such as data security and integration hurdles highlight the balance needed to navigate this market effectively.
Artificial Intelligence (AI) in Manufacturing Market End Use Industry Insights
The Global Artificial Intelligence (AI) in Manufacturing Market within the End Use Industry segment is showcasing robust potential, with a projected value of 3.5 billion USD in 2024. This segment encompasses various industries that are increasingly leveraging AI technologies to enhance efficiency, reduce costs, and drive innovation. The Automotive sector stands out due to its rapid transformation through automation and smart manufacturing processes, while the Electronics industry benefits from AI's ability to streamline production and improve quality control.
Aerospace manufacturers utilize AI for predictive maintenance, minimizing downtime and optimizing operations. The Food and Beverage industry is witnessing significant advancements through intelligent systems that enhance food safety, supply chain management, and customer insights. In the Pharmaceuticals sector, AI applications in research and quality assurance are paramount, leading to more effective drug development and compliance with stringent regulations. Overall, the growing demand for advanced analytics, machine learning, and automation across these industries is driving substantial market growth, presenting opportunities for businesses to optimize processes and elevate production standards.
The emphasis on digital transformation and Industry 4.0 further supports the growing significance of AI in these diverse sectors.
Artificial Intelligence (AI) in Manufacturing Market Regional Insights
The Global Artificial Intelligence (AI) in Manufacturing Market is projected to experience substantial growth across various regions, significantly contributing to its overall valuation. By 2024, North America leads with a valuation of 1.4 USD Billion and is expected to reach 9.0 USD Billion by 2035, showcasing its majority holding and importance in the market due to advanced technology adoption and infrastructure. Europe follows closely, with a valuation of 1.0 USD Billion in 2024, reaching 7.0 USD Billion in 2035, reflecting a significant commitment to integrating AI in manufacturing processes.
The Asia-Pacific (APAC) region, although valued at 0.8 USD Billion in 2024 and projected to grow to 4.5 USD Billion by 2035, plays a crucial role in market dynamics due to rapid industrialization and technology initiatives. South America and the Middle East and Africa (MEA) represent the smaller segments with respective values of 0.2 USD Billion and 0.1 USD Billion in 2024, expected to grow to 1.5 USD Billion and 0.5 USD Billion by 2035. The variations in market size among these regions highlight the diversity in manufacturing capabilities and the strategic importance of regional investments.
The demand for automation, efficiency enhancement, and predictive maintenance is driving the Global Artificial Intelligence (AI) in Manufacturing Market segmentation forward.
Figure 3: Artificial Intelligence (AI) in Manufacturing Market Regional Insights
Source: Primary Research, Secondary Research, MRFR Database and Analyst Review
Artificial Intelligence (AI) in Manufacturing Market Key Players and Competitive Insights
The Global Artificial Intelligence in Manufacturing Market has been experiencing significant growth, driven by the increasing adoption of AI technologies to enhance operational efficiency and production capabilities. Companies are leveraging AI to optimize supply chains, predict equipment failures, streamline production processes, and improve product quality. As the manufacturing landscape becomes more competitive, businesses are investing in AI solutions to better analyze vast amounts of data, make real-time decisions, and reduce costs. Various players in this market are working on innovative technologies, creating strategic partnerships, and expanding their geographic reach, contributing to a dynamic competitive environment.
IBM stands out in the Global Artificial Intelligence in Manufacturing Market due to its comprehensive suite of AI-driven solutions specifically designed for manufacturing applications. The company's strengths include its advanced analytics capabilities, cognitive computing services, and a strong emphasis on research and development. IBM’s focus on integrating AI with IoT and cloud solutions provides a robust platform for manufacturers looking to enhance productivity and gain valuable insights from their data. The company’s significant investment in VR and machine learning technologies further advances its position, enabling more efficient manufacturing processes and operational improvements on a global scale. Its strong brand reputation, coupled with a commitment to innovation, solidifies its presence as a key player in the AI manufacturing sector.
Rockwell Automation also makes a notable impact in the Global Artificial Intelligence in Manufacturing Market by offering a diverse range of products and services that focus on industrial automation and information technology. The company’s strengths lie in its extensive portfolio of software and control solutions that incorporate AI to optimize manufacturing operations. By focusing on AI-driven analytics, Rockwell Automation helps clients enhance productivity, reduce downtime, and increase overall efficiency in their manufacturing processes. The firm has a well-established market presence globally and consistently engages in strategic mergers and acquisitions to bolster its capabilities and expand its service offerings. This approach allows Rockwell Automation to remain competitive in the rapidly evolving AI landscape, keeping it at the forefront of technological advancements that drive smart manufacturing solutions worldwide.
Key Companies in the Artificial Intelligence (AI) in Manufacturing Market Include
Artificial Intelligence (AI) in Manufacturing Market Industry Developments
Recent developments in the Global Artificial Intelligence (AI) in Manufacturing Market highlight a period of significant growth and innovation. In September 2023, Nvidia announced a collaboration with Siemens to enhance AI-powered manufacturing solutions, which is expected to drive efficiency and reduce downtime in factories globally. In August 2023, IBM launched new AI tools targeting predictive maintenance for manufacturing, reinforcing its position in the sector. Within the last few years, strategic mergers and acquisitions have also shaped the landscape, with Microsoft acquiring Nuance Communications in April 2021, focused on conversational AI to improve industrial processes.
Similarly, in March 2022, Rockwell Automation announced the acquisition of Fiix Software to bolster its AI capabilities in maintenance and asset management. Notably, SAP's continuous investment in AI applications has driven its market valuation higher, marking a significant trend towards integration of AI for operational excellence. The market's valuation has surged, propelled by enterprises' increasing reliance on advanced technologies to optimize production and enhance decision-making processes. These strategic advancements demonstrate a robust shift towards AI as a cornerstone of modern manufacturing practices globally.
Artificial Intelligence (AI) in Manufacturing Market Segmentation Insights
Artificial Intelligence (AI) in Manufacturing Market Application Outlook
Artificial Intelligence (AI) in Manufacturing Market Technology Outlook
Artificial Intelligence (AI) in Manufacturing Market Deployment Type Outlook
Artificial Intelligence (AI) in Manufacturing Market End Use Industry Outlook
Artificial Intelligence (AI) in Manufacturing Market Regional Outlook
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Report Attribute/Metric
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Details
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Market Size 2023
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2.95(USD Billion)
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Market Size 2024
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3.5(USD Billion)
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Market Size 2035
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22.5(USD Billion)
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Compound Annual Growth Rate (CAGR)
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18.44% (2025 - 2035)
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Report Coverage
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Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
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Base Year
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2024
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Market Forecast Period
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2025 - 2035
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Historical Data
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2019 - 2024
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Market Forecast Units
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USD Billion
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Key Companies Profiled
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IBM, Rockwell Automation, SAP, Infosys, NVIDIA, Fuji Electric, PTC, Tesla, Microsoft, Honeywell, C3.ai, Siemens, Oracle, General Electric
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Segments Covered
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Application, Technology, Deployment Type, End Use Industry, Regional
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Key Market Opportunities
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Predictive maintenance solutions, Quality control automation, Supply chain optimization, Workforce augmentation tools, Smart manufacturing integration
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Key Market Dynamics
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Increased automation adoption, Demand for predictive maintenance, Enhanced supply chain optimization, Growing focus on quality control, Rising skilled workforce requirements
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Countries Covered
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North America, Europe, APAC, South America, MEA
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Artificial Intelligence (AI) in manufacturing Market Highlights:
Frequently Asked Questions (FAQ) :
The Global Artificial Intelligence (AI) in Manufacturing Market is expected to reach a value of 22.5 USD Billion by 2035.
The market is anticipated to grow at a CAGR of 18.44% from 2025 to 2035.
North America is projected to dominate the market with a value of 9.0 USD Billion by 2035.
Predictive Maintenance is expected to be valued at 6.5 USD Billion by 2035.
Major players include IBM, Rockwell Automation, SAP, Infosys, and NVIDIA.
The market value for Quality Control is projected to be 0.8 USD Billion in 2024.
The market for Supply Chain Management is expected to reach 4.5 USD Billion by 2035.
The market for Robotics is forecasted to grow to 5.5 USD Billion by 2035.
The overall market is expected to be valued at 3.5 USD Billion in 2024.
The APAC region is anticipated to grow to 4.5 USD Billion by 2035.
