The Rise of Generative Artificial Intelligence (AI) in Manufacturing
The Next Generation of Machine Learning (ML) Drive Agility and Autonomy in Industrial Operations
The COVID-19 pandemic marked a major global change, revolutionizing manufacturing. Political tensions, such as the US-China conflict and the Russo-Ukrainian war; economic uncertainties, such as high inflation rates and de-dollarization initiatives; and continuous supply chain disruptions force manufacturers to invest in technology to secure reliable and sustainable operations. Generative AI leads the new manufacturing paradigm, driving innovation, efficiency, and advanced problem-solving. As the next notable convergence trend, generative AI will likely unlock unprecedented value in largely untapped industrial data.
In this study, Frost & Sullivan discusses the transformational potential of generative AI technologies and their impact on companies´ innovation performance. We analyze the growth prospects of generative AI in industrial applications and explore the most innovative use cases in the automotive, 3D printing, packaging, logistics, robotics, manufacturing, chemical, and energy markets. This study highlights the factors driving and restraining growth and identifies the opportunities emerging from this space for industry stakeholders to leverage.
Strategic Imperatives
Why is it Increasingly Difficult to Grow?
The Strategic Imperative 8™
The Impact of the Top 3 Strategic Imperatives on Generative AI in the Manufacturing Industry
Growth Opportunities Fuel the Growth Pipeline Engine™
Growth Opportunity Analysis
Introduction
Generative AI for Manufacturing
Generative AI—What is the Value-add for Manufacturing?
Training Methods Ideal for Manufacturing
Generative AI Applications in Manufacturing
Generative AI in Manufacturing—Market Drivers
Generative AI in Manufacturing—Market Restraints
Growth Opportunity Universe
Growth Opportunity 1: Expand 3D Printing Design Flexibility and Enhance Precision and Control with Generative Models
Growth Opportunity 1: Expand 3D Printing Design Flexibility and Enhance Precision and Control with Generative Models (continued)
Growth Opportunity 2: Identify Novel Materials with Generative Techniques to Accelerate R&D Outcomes
Growth Opportunity 2: Identify Novel Materials with Generative Techniques to Accelerate R&D Outcomes (continued)
Growth Opportunity 3: Enhance Industrial Robot Autonomy with Generative Algorithms