AI in Chemicals Market Size, Share, By Technology (Machine Learning, Deep Learning, Natural Language Processing (NLP), and Computer Vision), By Application (Research and Development, Manufacturing, Supply Chain Management, and Regulatory Compliance), By End-User (Pharmaceuticals, Chemicals, Materials, and Energy) and By Region - Trends, Analysis and Forecast till 2034

Industry-Academia Collaboration:

• Industry–academic collaboration is one of the essential reasons that drives innovation and increases the pace of development for AI applications in the chemicals market. Universities and research institutions team up with chemical firms to solve a raft of particular industry problems, develop new AI tools and techniques, and train the next wave of AI talent. Such collaboration can result in more practical, innovative AI solutions to drive enormous value for the chemical industry. For example, universities can conduct research in cutting-edge AI techniques applicable to manufacturing processes in the chemical sector. In return, chemical companies can offer real-world data and insight to help researchers develop practical solutions.