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What are the recent trends in market size and growth for the ai in manufacturing market?
The AI in manufacturing market size has grown exponentially in recent years. It will grow from $4.11 billion in 2024 to $5.82 billion in 2025 at a compound annual growth rate (CAGR) of 41.5%. The growth in the historic period can be attributed to energy efficiency and sustainability, customization and personalization, cost reduction measures, workforce upskilling and training, and supply chain optimization.
The AI in manufacturing market size is expected to see exponential growth in the next few years. It will grow to $25.23 billion in 2029 at a compound annual growth rate (CAGR) of 44.3%. The growth in the forecast period can be attributed to the adoption of edge computing, green manufacturing initiatives, focus on cybersecurity, enhanced human-machine collaboration, and supply chain resilience. Major trends in the forecast period include robotics and automation integration, quality control and defect detection, augmented reality applications, data-driven decision-making, and autonomous manufacturing processes.
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How have varous drivers impacted the growth of the ai in manufacturing market?
The increasing demand for automobiles is expected to propel the growth of AI in the manufacturing market going forward. An automobile, commonly known as a car or a motorcar, is a wheeled vehicle designed for the transportation of passengers or goods on roads. The automobile industry incorporates AI (artificial intelligence) in manufacturing in several ways, such as autonomous vehicle development, predictive maintenance, data collection and analysis, and quality control and inspection. Utilizing AI in the automotive sector makes it possible to design the vehicle as well as the tools and robots employed in its production. AI is currently being used in the manufacturing, supply chain, post-production, and design of automobiles. For instance, in May 2023, according to the European Automobile Manufacturers Association, a Belgium-based trade organization, the number of motor vehicles manufactured globally in 2022 was 85.4 million, an increase of 5.7% over the year 2021. Therefore, the increasing demand for automobiles is driving the growth of AI in the manufacturing market.
What are the primary segments of the ai in manufacturing market?
The AI in manufacturing market covered in this report is segmented –
1) By Offering: Hardware, Software, Services
2) By Technology: Machine Learning, Natural Language Processing, Context-Aware Computing, Computer Vision
3) By Deployment: Cloud, On-Premise
4) By Application: Predictive maintenance and Metal & Construction inspection, Material Movement, Production Planning, Field Services, Quality Control, Cybersecurity, Industrial Robots, Reclamation
5) By Industry: Automobile, Energy And Power, Semiconductor And Electronics, Pharmaceutical, Heavy Metal And Machine Manufacturing, Food And Beverage, Other Industries
Subsegments:
1) By Hardware: Sensors, Robots, Processors, Automation Systems, IoT Devices
2) By Software: Machine Learning Software, Data Analytics Software, Quality Control Software, Supply Chain Management Software, Customer Relationship Management (CRM) Software
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Which firms are leading the ai in manufacturing market?
Major companies operating in the AI in manufacturing market report are Nvidia Corporation, The International Business Machines Corporation, Siemens AG, General Electric Company, SAP SE, Amazon Inc., Mitsubishi Electric Corporation, Rockwell Automation Inc., Robert Bosch GmbH, Google LLC, Intel Corporation, Micron Technology Inc., Oracle Corporation, Cisco Systems Inc., Microsoft Corporation, Hilscher Gesellschaft für Systemautomation GmbH, Beckhoff Automation GmbH, Phoenix Contact GmbH & Co. KG, Veo Robotics, Automation Anywhere, Machina Labs Inc., Advanced Micro Devices Inc., SoluLab, Keyence Corporation, LeewayHertz, Citadel Analytics, Omron Corporation, Yokogawa Electric Corporation, Cognex Corporation, Bosch Rexroth AG
How will industry trends affect the trajectory of the ai in manufacturing market?
Technological advancements are a key trend gaining popularity in AI in manufacturing market. Companies operating in AI in the manufacturing market are focused on adopting new technologies to sustain their position in the market. For instance, in March 2023, Leela AI, a US-based software development company, launched Leela Platform, its first ‘commonsense’ visual AI platform to improve manufacturing output. Using the Leela Platform, manufacturers can gain insights into production processes that are hidden from Industrial Internet of Things (IIOT) sensor analytics. The software offers insights that allow users to compare productivity between shifts, workstations, and locations, find bottlenecks, and identify best practices. Industrial engineers, CI officers, and line supervisors can use and benefit from the Leela Platform. By recognizing and monitoring frontline activities as people engage with equipment, machines, parts, and products, the Leela Platform functions as an ongoing time-and-motion study.
Which geographic trends are shaping the ai in manufacturing market, and which region has the highest market share?
Asia-Pacific was the largest region in the AI in manufacturing market in 2024. It is expected to be the fastest-growing region in the global AI in manufacturing market report during the forecast period. The regions covered in the ai in manufacturing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa
What Does The AI in Manufacturing Market Report 2025 Offer?
The ai in manufacturing market research report from The Business Research Company offers global market size, growth rate, regional shares, competitor analysis, detailed segments, trends, and opportunities.
AI in manufacturing refers to the integration of artificial intelligence (AI) technologies into the manufacturing process to increase efficiency, productivity, and quality. It involves the use of machine learning algorithms, computer vision, robotics, and other AI tools to analyze data, automate processes, and optimize production. By using AI in manufacturing, companies can reduce costs, improve product quality, and enhance overall performance.
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