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With the rise of Industry 4.0 and the strong emphasis on automation, data exchange, and smart technologies in manufacturing, the demand for digital twins is escalating to facilitate digitization and optimization of manufacturing processes for increased efficiency and productivity. The surging integration of AI and machine learning helps to enhance the capabilities of digital twins through predictive analytics, anomaly detection, and optimization algorithms.
The rising prominence of cloud-based digital twin platforms to offer flexibility, scalability, and ease of collaboration will also define the market growth. For instance, in July 2023, Honeywell unveiled its cloud-based digital twin to facilitate efficient and secure up-to-date testing.