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Artificial Intelligence in the Manufacturing revolution has permeated various industries, and manufacturing is no exception. The integration of AI in manufacturing processes has led to significant advancements in efficiency, productivity, and overall operational excellence. The global Artificial Intelligence in Manufacturing market has witnessed substantial growth in recent years, driven by the increasing demand for automation, optimization of production processes, and the need for predictive maintenance. One of the key drivers behind the adoption of AI in manufacturing is the quest for operational efficiency. AI technologies, such as machine learning and computer vision, enable manufacturers to analyze vast amounts of data in real time, leading to more informed decision-making. This, in turn, helps optimize production processes, reduce downtime, and enhance overall operational efficiency. Manufacturers are leveraging AI to streamline supply chain management, demand forecasting, and i

Artificial Intelligence In Manufacturing Market size is estimated to be valued at USD 3.2 billion in 2023 and is anticipated to reach USD 20.8 billion by 2028 One of the key drivers of AI in the manufacturing market is the increasing demand for automation and smart manufacturing. AI-powered systems enable manufacturers to automate complex tasks, streamline processes, and optimize production lines. This not only leads to cost savings but also enhances the quality and precision of manufacturing processes. Predictive maintenance is another critical application of AI in manufacturing . By leveraging machine learning algorithms and data analytics, manufacturers can predict when equipment is likely to fail, allowing for proactive maintenance measures. This approach minimizes downtime, reduces the risk of unexpected breakdowns, and extends the lifespan of machinery, ultimately contributing to cost-effectiveness. What is the Global Artificial Intelligence in manufacturing market size? I don’t