Global Generative AI in Chemicals Market to Hit USD 16.97 Bn by 2035 | CAGR 28.03%

Read more about this report- Global Generative AI in Chemicals Market to Hit USD 16.97 Bn by 2035 | CAGR 28.03%

The Generative AI in Chemicals Market is valued at USD 1.12 Billion in 2024. The Generative AI in Chemicals Market will achieve USD 16.97 Billion by 2035 through a projected 28.03% CAGR from 2025 to 2035.

The key driver behind growth in the generative AI chemicals market is the need to accelerate R&D in both molecular discovery and formula optimization. Nevertheless, one of the key limitations is that high-quality and standardized chemical data required to train AI models are not widely available. One of the opportunities is the combination of generative AI with quantum computing and high-performance simulation to unlock next-gen material innovation and sustainable chemical solutions.

The chemicals market generative AI has been segmented by component (software, services), deployment mode (cloud-based, on-premise), technology (machine learning, natural language processing, deep learning), application (molecular discovery, process optimization, quality control, predictive maintenance), and end user (pharmaceuticals, specialty chemicals, agrochemicals, petrochemicals, consumer goods). The Molecular Discovery segment is experiencing a strong growth rate in relation to the need to design drugs faster and synthesize new compounds through virtual screening and AI-based predictive modeling.

It is used in the areas of molecular design, reaction prediction, catalyst discovery, process simulation, and product development. Sustainability requirements and regulatory pressures in the EU and the US have led to the current wave of molecular design, including AI-generated molecules, to produce green solvents and biodegradable polymers, among other innovations.

There is increasing adoption due to rising digital transformation initiatives, increased R&D spending, and partnerships between AI companies and chemical producers. The AI for Science program launched by the Department of Energy in the United States is encouraging the adoption of generative AI in chemistry research to make innovations more accessible and competitive across the chemicals industry.

The generative AI in the chemical industry is supported by five geographic areas: North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. Germany leads in applying AI to manufacturing in the chemical industry, which has been enabled by national AI strategies and industry partnerships that are fueling demand towards digital innovation in production and sustainability.

The generative AI in the chemicals industry has strategic actors such as IBM, Schrodinger, BASF Digital Solutions, Citrine Informatics, and SynthesiaAI. Such companies have a certain impact on the dynamics of the market by their orientation towards innovative modeling platforms and cloud-based AI to analyze chemicals and their collaboration with major chemical manufacturers to introduce generative AI to practical R&D processes.