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 Systèmes SE, John Wiley & Sons Inc, Schrödinger 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.
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Table of Contents
Executive Summary
Artificial Intelligence (AI) In Chemicals Market Global Report 2026 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.
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Description
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 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.
Scope
Markets Covered:
1) By Component: Software; Hardware; Services2) By Technology: Machine Learning; Natural Language Processing; Robotics Process Automation; Deep Learning
3) By Deployment Type: On-Premises; Cloud-Based; Hybrid
4) By Application: Process Optimization; Predictive Maintenance; Quality Control; Supply Chain Management; Research And Development; Other Applications
5) By End User: Petrochemicals; Specialty Chemicals; Agrochemicals; Polymers; Consumer Chemicals; Other End Users
Subsegments:
1) By Software: Artificial Intelligence Platforms; Machine Learning Software; Chemical Simulation Software; Data Analytics Software; Laboratory Information Management Software2) By Hardware: High Performance Computing Systems; Chemical Laboratory Instruments; Industrial Automation Equipment; Robotics Systems; Edge Computing Devices
3) By Services: Consulting Services; Implementation Services; Integration Services; Maintenance And Support Services; Training Services
Companies Mentioned: 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 Systèmes SE; John Wiley & Sons Inc; Schrödinger 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
Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain
Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
Time Series: Five years historic and ten years forecast.
Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita.
Data Segmentations: Country and regional historic and forecast data, market share of competitors, market segments.
Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
Delivery Format: Word, PDF or Interactive Report + Excel Dashboard
Added Benefits
- Bi-Annual Data Update
- Customisation
- Expert Consultant Support
Companies Mentioned
- 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 Systèmes SE
- John Wiley & Sons Inc
- Schrödinger 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

