PUBLISHER: The Business Research Company | PRODUCT CODE: 2149377
PUBLISHER: The Business Research Company | PRODUCT CODE: 2149377
Artificial intelligence (AI) in chemicals refers to the use of artificial intelligence technologies to enhance chemical research, development, manufacturing, and operational activities. These technologies facilitate sophisticated data analysis, predictive modeling, process optimization, and automation of complex chemical processes. They are intended to increase efficiency, accelerate innovation, support informed decision-making, and optimize the use of resources throughout chemical operations.
The primary components of artificial intelligence (AI) in chemicals include software, hardware, and services. Software refers to digital applications that leverage AI capabilities to analyze chemical data, facilitate decision-making, and enhance chemical processes and operations. These solutions utilize machine learning, natural language processing, robotics process automation, and deep learning technologies and are deployed through on-premises, cloud-based, and hybrid models. The various applications include process optimization, predictive maintenance, quality control, supply chain management, research and development, and others, and they are utilized by end users including petrochemicals, specialty chemicals, agrochemicals, polymers, consumer chemicals, and others.
Tariffs are influencing the artificial intelligence (AI) in chemicals market by increasing the cost of imported laboratory instruments, computing hardware, sensors, automation equipment, and specialized components used in AI-enabled chemical research and production processes. This is increasing technology implementation and operational expenses, particularly in regions that rely on imported equipment such as Asia-Pacific, Europe, and North America. Hardware-intensive applications, including chemical research, process optimization, and laboratory automation, are more exposed to these pressures because of their dependence on globally sourced equipment and components. However, tariffs are also promoting domestic manufacturing, regional supplier diversification, and increased investment in localized chemical technology ecosystems, supporting greater long-term supply chain resilience.
The artificial intelligence (AI) in chemicals market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in chemicals market statistics, including artificial intelligence (AI) in chemicals industry global market size, regional shares, competitors with a artificial intelligence (AI) in chemicals market share, detailed artificial intelligence (AI) in chemicals market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in chemicals industry. This artificial intelligence (AI) in chemicals market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.
The artificial intelligence (AI) in chemicals market size has grown exponentially in recent years. It will grow from $1.72 billion in 2025 to $2.29 billion in 2026 at a compound annual growth rate (CAGR) of 33.1%. The growth in the historic period can be attributed to increasing demand for accelerated chemical research, growing requirements for greater chemical process efficiency, expanding volumes of chemical research data, rising need for optimized resource utilization, and increasing demand for precise chemical property analysis.
The artificial intelligence (AI) in chemicals market size is expected to see exponential growth in the next few years. It will grow to $7.08 billion in 2030 at a compound annual growth rate (CAGR) of 32.7%. The growth in the forecast period can be attributed to rising demand for AI-assisted molecule discovery, increasing adoption of predictive process optimization, growing need to accelerate chemical product development, expanding application of AI-based formulation design, and increasing demand for automated chemical decision-making solutions. Major trends in the forecast period include growing adoption of AI-enabled chemical property prediction, rising demand for predictive chemical modeling, increasing use of AI for formulation optimization, growing demand for automated chemical research workflows, and rising emphasis on AI-driven reaction outcome prediction.
The growing adoption of Industry 4.0 technologies is expected to propel the growth of the artificial intelligence (AI) in chemicals market going forward. Industry 4.0 refers to the integration of advanced digital technologies such as artificial intelligence, machine learning, the internet of things (IoT), automation, and data analytics into industrial processes to improve efficiency, productivity, and decision-making. The adoption of Industry 4.0 technologies is increasing due to the growing need for process optimization, as chemical manufacturers are increasingly using advanced digital tools such as artificial intelligence, machine learning, and real-time data analytics to improve production efficiency. Industry 4.0 technologies facilitate the adoption of artificial intelligence (AI) in chemicals by providing real-time data, connected systems, and advanced analytics that enable AI solutions to optimize processes, improve efficiency, and enhance chemical manufacturing operations. For instance, in March 2024, according to Rockwell Automation Inc., a US-based automation company, manufacturers consider AI the leading capability for achieving significant business impact, with 83% anticipating the adoption of generative AI (GenAI) in their operations. Furthermore, 95% of manufacturers are either using or evaluating smart manufacturing technologies, up from 84% in 2023. Therefore, the growing adoption of Industry 4.0 technologies is driving the growth of the artificial intelligence (AI) in chemicals market.
Leading companies operating in the artificial intelligence (AI) in chemicals market are focusing on developing innovative solutions such as generative AI-powered small molecule design platforms to enhance chemical discovery, research and development efficiency, product innovation, and sustainable chemical development. Generative AI-powered small molecule design platforms are artificial intelligence-based computational systems that analyze extensive molecular datasets and generate new chemical structures with targeted properties, enabling faster discovery and optimization of molecules compared with traditional trial-and-error approaches. For example, in October 2024, Evogene Ltd., an Israel-based computational biology company, partnered with Google Cloud, a US-based cloud computing and artificial intelligence technology provider, to develop a generative AI foundation model for novel small molecule design through Evogene's ChemPass AI technology platform. The foundation model is trained on approximately 40 billion molecular structures and leverages advanced AI capabilities, including machine learning algorithms and high-performance cloud computing infrastructure, to generate and evaluate new molecular candidates with desired characteristics. The technology aims to accelerate the discovery and development of innovative small molecules for applications such as drug development, sustainable crop protection, and other life science-based products by reducing development timelines, lowering costs, and improving discovery success rates.
In April 2026, Perstorp AB, a Sweden-based specialty chemicals company, partnered with Citrine Informatics Inc. to accelerate alkyd emulsion innovation through AI-driven formulation technologies. Through this partnership, Perstorp AB and Citrine Informatics, Inc. aim to utilize AI-based modeling and formulation tools to optimize chemical compositions, shorten experimental cycles, increase development efficiency, improve customer responsiveness, and support the development of next-generation surfactant chemistries for advanced coatings applications. Citrine Informatics Inc. is a US-based company specializing in AI-powered materials informatics platforms that accelerate research and development in chemicals and advanced materials.
Major companies operating in the artificial intelligence (AI) in chemicals market are Microsoft Corporation, Thermo Fisher Scientific Inc, International Business Machines Corporation, NVIDIA Corporation, BASF SE, Agilent Technologies Inc, Bruker Corporation, RELX PLC, Hitachi High Tech Corporation, Dassault Systemes SE, John Wiley & Sons Inc, Schrodinger Inc, Insilico Medicine Inc, Citrine Informatics Inc, SandboxAQ Inc, Chemify Ltd, Albert Invent SAS, CuspAI Limited, MaterialsZone Ltd, Phaseshift Technologies Inc, AION Labs Ltd, ExoMatter GmbH, Molecule.One Sp z o o, Kebotix Inc, Aionics Inc, ChemAI Inc, AI Materia Inc
North America was the dominating region in the artificial intelligence (AI) in chemicals market in 2025. Asia-Pacific is expected to be the rapidly growing region in the forecast period. The regions covered in the artificial intelligence (AI) in chemicals market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
The countries covered in the artificial intelligence (AI) in chemicals market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.
The artificial intelligence (AI) in chemicals market consists of revenues earned by entities by providing services such as AI-based chemical modeling, predictive analytics, process optimization, formulation development, research and development support, automation solutions, data management, software integration, consulting, and technical support. The market value includes the value of related goods sold by the service provider or included within the service offering. The Artificial Intelligence (AI) in chemicals market also includes sales of predictive analytics tools, AI-based process control systems, AI water management systems, and molecular structure optimization tools. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.
The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).
The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.
Artificial Intelligence (AI) In Chemicals Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.
This report focuses artificial intelligence (ai) in chemicals market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.
Where is the largest and fastest growing market for artificial intelligence (ai) in chemicals? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in chemicals market global report from the Business Research Company answers all these questions and many more.
The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.
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