AI in Manufacturing Market Analysis

Component Segment Analysis

The software segment in artificial intelligence in manufacturing market is expected to capture 42% share by 2035 due to increasing demand for AI platforms that support real-time data analytics, automation in manufacturing. These solutions are increasingly opted by manufacturers to optimize work processes and enhance better decision-making. Further, the rise of cloud-based AI solutions has made implementation more scalable and economical. Additionally, the capability of AI-driven software to lower operational expenses and enhance equipment performance is accelerating its adoption across various industries. A significant instance of AI software implementation in the manufacturing sector is the collaboration between Siemens and Microsoft in February 2024. This alliance intends to create AI co-pilots that support human workers in improving productivity and safety on the production floor.

Technology Segment Analysis  

The machine learning (ML) segment in artificial intelligence in manufacturing market is predicted to hold a notable share of around 46% through 2035 due to its ability to ability to analyze complex data and enable predictive decision-making. The use of ML algorithms enhances process automation, predicts equipment failure, defect detection, and helps in equipment maintenance. As industries move towards more advanced automated manufacturing, the need for machine learning in AI applications is rising. This integration is adopted by top tech companies to make the manufacturing process easy and convenient. For instance, in June 2021, Bosch integrated ML in its global manufacturing operations at its Dresden wafer fabrication plant and Charleston, South Carolina plant. The company utilized machine learning in its internal AI system to identify potential faults early and speed up the manufacturing schedules.

Our in-depth analysis of the global market includes the following segments: