The Generative AI In Manufacturing Market is being driven by Imperative for accelerated product innovation and hyper-customization
The Generative AI In Manufacturing Market is expected to grow at a CAGR of 37.7% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 1751.2 million. The generative AI in manufacturing market is witnessing a significant shift from automation-as-replacement to human-AI collaboration. Industrial copilots, advanced AI assistants, are being developed and deployed at an unprecedented rate. These context-aware tools augment the capabilities of the workforce, from the factory floor to engineering offices, without replacing human labor. These copilots are integrated into existing manufacturing software platforms, such as product lifecycle management systems, manufacturing execution systems, and computer-aided design software, enabling employees with expert partners that can process vast amounts of data, generate insights, and automate complex cognitive tasks. This trend is not about creating autonomous factories; rather, it's about empowering every employee with a capable assistant.
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 37.7% |
Market growth 2025-2029 |
USD 1751.2 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
35.0 |
Key countries |
China, Japan, India, South Korea, Germany, UK, France, US, Canada, and Brazil |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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In the Generative AI market for Manufacturing, applications of Generative Design are revolutionizing product development. Robotics Integration Solutions and Simulation for Optimization enhance production efficiency. AI-driven Supply Chain, Automated Quality Assurance, and Smart Factory Connectivity ensure seamless operations. Manufacturing Data Analytics provide Real-time Production Insights and Predictive Model Deployment for process improvement. Intelligent Process Automation, Autonomous Mobile Robots, and Reinforcement Learning Control optimize production throughput. Cloud Manufacturing Platforms, PLM and MES System Integration, and Green Manufacturing Initiatives complete the advanced manufacturing landscape. AI-based Defect Detection and Automated Logistics Systems streamline operations further. Advanced Manufacturing Processes continue to evolve with these technologies.
In the realm of manufacturing, the application of artificial intelligence (AI) is revolutionizing various processes, particularly in the areas of predictive maintenance, generative design software, machine learning algorithms, and robotics process automation. These advanced technologies enable manufacturers to optimize production, minimize downtime, and enhance product quality. The global application software market, which encompasses companies specializing in software development for business and consumer applications, is a significant component of the larger IT software industry. According to Technavio, the IT software market size is determined by the consolidated revenue of companies providing all types of software, including cloud-based solutions. This market segment excludes entities producing interactive home entertainment software and systems or database management software. By implementing AI-driven solutions, manufacturing organizations can remain competitive and streamline their operations, ultimately driving growth and profitability.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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