Latest Study on Industrial Growth of Artificial Intelligence in Manufacturing Market 2024-2032. A detailed study accumulated to offer the latest insights about acute features of the Artificial Intelligence in Manufacturing market. The report contains different market predictions related to revenue size, production, CAGR, Consumption, gross margin, price, and other substantial factors. While emphasizing the key driving and restraining forces for this market, the report also offers a complete study of the future trends and developments of the market. It also examines the role of the leading market players involved in the industry including their corporate overview, financial summary, and SWOT analysis.

According to HTF MI, the Artificial Intelligence in Manufacturing Market have seen a market size of USD 3.8 Billion in 2024 and estimated to reach USD 23.2 Billion by 2032, growth at a CAGR of 25.3%. Historically, back in 2019 the Artificial Intelligence in Manufacturing market have seen a value of USD 1.1 Billion and since then market have recovered completely and showing robust growth.

Some of the key players profiled in the study are Siemens, IBM, GE Digital, Microsoft, Google, Rockwell Automation, Bosch, NVIDIA, ABB, Fanuc, Oracle, SAP, Mitsubishi Electric, Schneider Electric, Honeywell, Cognex, Uptake, SparkCognition, PTC, Amazon Web Services, Landing AI, Oden Technologies, C3.ai.

By region, North America have shown clear dominance in Artificial Intelligence in Manufacturing market sizing and Asia-Pacific region have witnessed fastest growth and would continue at same pace till 2032.

What's keeping Siemens, IBM, GE Digital, Microsoft, Google, Rockwell Automation, Bosch, NVIDIA, ABB, Fanuc, Oracle, SAP, Mitsubishi Electric, Schneider Electric, Honeywell, Cognex, Uptake, SparkCognition, PTC, Amazon Web Services, Landing AI, Oden Technologies, C3.ai Ahead in the Market? Benchmark yourself with strategic moves and findings by HTF MI.

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Definition:

AI in manufacturing enhances production by integrating machine learning and automation into factory operations. From predictive maintenance to visual inspections and robotics, AI improves uptime, reduces waste, and boosts efficiency. It supports smart factories in line with Industry 4.0, using real-time analytics and sensor data. As tech becomes more accessible, even SMEs are leveraging AI for competitive advantage.

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Drivers:

Industry 4.0, Labor shortages, Need for efficiency, Sensor integration, Cost reduction

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Trends:

Edge AI, Self-learning machines, Vision-based inspection, AI-powered cobots, Autonomous systems

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Challenges:

Data silos, Implementation costs, Workforce resistance, Cybersecurity, Model accuracy issues

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Opportunities:

SME adoption growth, AI-as-a-Service, Green manufacturing, Government subsidies, Digital twin use

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The study will provide you conclusive point of view that Industry experts and executives have shared. It is vital to keep the market knowledge up-to-date and segmented by Applications [Production automation, Predictive analytics, Asset monitoring, Process optimization, Safety compliance], Product Types [Predictive Maintenance, Quality Inspection, Robotics Automation, Supply Chain Optimization, Digital Twins], and major players. If you are involved in the Artificial Intelligence in Manufacturing industry or aim to be or have a different set of players/manufacturers according to geography or seek to have a regional report segmented then connect with us to get a customized version.

This study mainly helps understand which market segments or regions / Countries need to be focused on in the next few years to channel efforts and investments to maximize growth and profitability. The Global Artificial Intelligence in Manufacturing report presents the market competitive landscape; in-depth analysis of the major vendor/key manufacturers, raw materials, pricing analysis, connected suppliers, and downstream buyers in the market along with the impact of economic slowdown.

The Asia-Pacific for Artificial Intelligence in Manufacturing Market is North America, driven by factors such as increasing demand, economic growth, technological advancements, etc.

Furthermore, the years considered for the study are as follows:Historical year - 2019-2023Base year - 2024Forecast period** - 2024E to 2032 [** unless otherwise stated]

**Moreover, it also includes the opportunities available in micro markets for stakeholders to invest, a detailed analysis of the competitive landscape, and product services of key players.

The titled segments and sub-section of the Artificial Intelligence in Manufacturing Market are illuminated below:The Study Explore the Product/Types of the Market: Predictive Maintenance, Quality Inspection, Robotics Automation, Supply Chain Optimization, Digital Twins

Key Applications/End-users of the Market: Production automation, Predictive analytics, Asset monitoring, Process optimization, Safety compliance

Top Players in the Market are: Siemens, IBM, GE Digital, Microsoft, Google, Rockwell Automation, Bosch, NVIDIA, ABB, Fanuc, Oracle, SAP, Mitsubishi Electric, Schneider Electric, Honeywell, Cognex, Uptake, SparkCognition, PTC, Amazon Web Services, Landing AI, Oden Technologies, C3.ai

Regions/Country Included are: North America (Covered in Chapter 7 and 14), United States, Canada, Mexico, Europe (Covered in Chapter 8 and 14), Germany, UK, France, Italy, Spain, Russia, Others, Asia-Pacific (Covered in Chapter 9 and 14), China, Japan, South Korea, Australia, India, Southeast Asia, Others, Middle East and Africa (Covered in Chapter 10 and 14), Saudi Arabia, UAE, Egypt, Nigeria, South Africa, Others, South America (Covered in Chapter 11 and 14), Brazil, Argentina, Columbia, Chile & Others