Artificial Intelligence (AI) in Manufacturing Market

Artificial Intelligence (AI) in Manufacturing Market Size, Share, Growth Analysis, By Component(Network, Module), By Technology(Machine Learning, and Computer Vision), By End User(Medical Devices, and Automobiles), By Application(Production Planning, Predictive Maintenance, & Machinery Inspection), By Region - Industry Forecast 2024-2031


Report ID: SQMIG45D2099 | Region: Global | Published Date: June, 2024
Pages: 197 | Tables: 94 | Figures: 70

Artificial Intelligence (AI) in Manufacturing Market Dynamics

Artificial Intelligence (AI) in Manufacturing Market Drivers

Improved Operational Efficiency 

  • The use of AI in manufacturing dramatically will increase productivity. AI systems can analyze the massive quantities of facts from manufacturing machines in actual time, discover bottlenecks, and optimize the approaches to lessen downtime. This ends in more productiveness and lower expenses, making AI an appealing investment for the producers looking to remain competitive. 

Advanced Provisioning for Prediction 

  • AI-powered predictive maintenance is a game-changer for the industry. By continuously monitoring devices and using the machine learning algorithms to predict potential failures, manufacturers can perform maintenance only, when necessary, thus avoiding expensive time avoiding unintended service and extending machine life This operating procedure reduces maintenance costs and improves overall machine efficiency. 

Restraints 

Increased Start-up Costs 

  • The main obstacle to the adoption of AI in construction is the high start-up cost. The development and integration of AI systems requires significant investments in hardware, software, and skilled personnel. Small and medium-sized enterprises (SMEs) often find it difficult to allocate critical resources, limiting the widespread use of AI technologies.  

Data Privacy and Security Concerns 

  • The use of AI in creation requires the gathering and analysis of full-size amounts of crucial facts. Manufacturers must make certain sturdy cybersecurity measures in the region to protect proprietary information from breaches and cyberattacks, which can be a complicated and highly priced venture. This raises essential records of privacy and safety worries.
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FAQs

Global Artificial Intelligence (AI) in Manufacturing Market size was valued at USD 2.58 Billion in 2022 and is poised to grow from USD 3.20 Billion in 2023 to USD 64.63 Billion by 2031, growing at a CAGR of 45.6% in the forecast period (2024-2031). 

Artificial Intelligence (AI) in the manufacturing market is characterized by fierce competition among major players looking to use AI technology to enhance manufacturing The leading companies in this market are invest heavily in R&D, make strategic deals and acquire small technologies to strengthen their AI capabilities Competitive landscape Tech giants, Marked by AI specialists and the presence of traditional manufacturing companies, they are integrating AI solutions to stay ahead of the industry. Siemens is a leading player in artificial intelligence (AI) in manufacturing market, offering complete AI solutions through its digital factory division. The company is focused on developing AI-powered software to improve forecasting, product quality and supply chain efficiency. 'Microsoft Corporation', 'NVIDIA Corporation', 'International Business Machines Corporation (IBM)', 'Intel Corporation', 'Siemens AG', 'General Electric Company', 'Google LLC', 'Micron Technology, Inc.', 'Amazon Web Services, Inc. (AWS)', 'Sight Machine, Inc.', 'Progress Software Corporation (DataRPM)', 'AIBrain, Inc.', 'General Vision, Inc.', 'Rockwell Automation, Inc.', 'Cisco Systems, Inc.', 'Mitsubishi Electric Corporation', 'Oracle Corporation', 'SAP SE', 'Vicarious, Inc.', 'UBTECH Robotics Corp Ltd'

The use of AI in manufacturing dramatically will increase productivity. AI systems can analyze the massive quantities of facts from manufacturing machines in actual time, discover bottlenecks, and optimize the approaches to lessen downtime. This ends in more productiveness and lower expenses, making AI an appealing investment for the producers looking to remain competitive. 

North America dominated the market and accounted for 33.9% in 2023. Revenues in the regional market are driven by top manufacturers of high-performance hardware components required to operate advanced AI graphics. The national strategy for advanced manufacturing serves as a strategic plan that outlines initiatives to revitalize manufacturing and strengthen domestic supply chains. This framework prioritizes research efforts, including machine learning, data privacy, encryption and risk assessment. It aims to facilitate the integration of AI within manufacturing processes.

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Artificial Intelligence (AI) in Manufacturing Market

Report ID: SQMIG45D2099

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