(MENAFN- GlobeNewsWire - Nasdaq) Dublin, Oct. 06, 2025 (GLOBE NEWSWIRE) -- The "AI in Chemical & Material Informatics Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets's offering.

Artificial intelligence in chemical and material informatics is transforming how enterprises pursue discovery, manage operations, and secure supply chains. Senior leaders advancing digital strategies recognize that effective AI deployment within informatics workflows delivers crucial advantages in efficiency, innovation, and resilience.

Market Snapshot: AI in Chemical & Material Informatics

The global AI in chemical and material informatics market is undergoing rapid expansion, with total value estimated at USD 12.08 billion in 2024, anticipated to reach USD 17.10 billion in 2025, and projected at USD 185.18 billion by 2032. This exceptional compound annual growth rate of 40.66% reflects a decisive shift among commercial and research organizations towards AI-driven capabilities.

Investment in big data solutions, process automation, and integrated analytics is stimulating advancements in chemical synthesis, smart materials design, and digitalized operational models. Growing expectations for high-efficiency and scalable tools are accelerating adoption across research and industrial segments, encouraging organizations to leverage AI in every stage of the R&D lifecycle.

Scope & Segmentation: Comprehensive Market Coverage

This research offers granular segmentation and in-depth insights, enabling precise strategy for an array of global stakeholders. Each segment reflects evolving business priorities and application needs:

• Technology: Computer vision, descriptive, predictive, and prescriptive data analytics, deep learning approaches such as convolutional neural networks and generative adversarial networks, and machine learning types including reinforced, supervised, and unsupervised methods.
• Application: Drug discovery (lead identification, molecular screening), advanced material design for product engineering, process optimization, energy and quality management, and digital transformation of supply chains.
• Component: Hardware-incorporating processors, sensors, storage; software for data management, modeling, visualization; services such as consulting, implementation, and training.
• Deployment: Cloud, edge, hybrid, and on-premise implementations, each offering tailored, secure, and scalable models for enterprise and research environments.
• End User: Academic research organizations, chemical manufacturers, material science enterprises, and pharmaceutical industry leaders.
• Regional Coverage: Americas (United States, Canada, Mexico, and prominent Latin American economies); Europe, Middle East & Africa (with dedicated focus on Western and Central Europe, Middle East, Africa); Asia-Pacific (China, India, Japan, Southeast Asia), highlighting distinct innovation drivers per region.

Key Takeaways: Strategic Insights for Senior Leaders

• AI-integrated informatics delivers faster discovery cycles and enhances responsiveness in process and operations management, equipping organizations to proactively address both innovation and supply chain challenges.
• Investment in advanced data management is increasingly vital for handling complex datasets and meeting compliance needs, supporting both research-driven and industrial applications.
• Developments in hardware and simulation software are expediting prototyping timelines and shortening product innovation cycles, bolstering competitive positioning.
• Collaboration between chemists, data scientists, and technology vendors is paving the way for scalable, enterprise-ready solutions that adapt to evolving business demands.
• Hybrid deployment architectures blend real-time analytics capabilities with centralized data governance, supporting agile decision-making and organizational security.
• Strategic partnerships among vendors and regional leaders are driving coordinated adoption, benefitting from harmonized regulatory frameworks and improved system interoperability.

Tariff Impact on Supply Chains and Innovation Pathways

The introduction of the 2025 United States tariffs has altered procurement dynamics within chemical and material R&D. Organizations are adapting by revising sourcing models, increasing local collaborations, and evaluating alternative feedstocks to offset higher input costs. AI-powered informatics now plays a key role in supporting substitutions and reaction optimization, enabling quick adaptation to evolving regulatory, compliance, and market pressures along complex global supply lines.

Profiling Innovators and Market Leaders

Major players including Accenture plc, International Business Machines Corporation, Thermo Fisher Scientific Inc., Dassault Systemes SE, BASF SE, NVIDIA Corporation, SAP SE, Schrodinger, Inc., RELX plc, and Dow Inc. are leading sector advancements. These organizations are embedding artificial intelligence into customizable informatics platforms and expanding digital service portfolios. Their strategic alliances accelerate adoption across geographies and foster improved integration across enterprise and research value chains.

Methodology & Data Sources

This report draws on a mix of qualitative and quantitative research methods, including interviews with industry and academic experts and reviews of technical publications, patents, and regulatory documentation. Validation through pilot projects and industry workshops ensured comprehensive and unbiased insights.

Why This Report Matters

• Enables leaders to act on actionable recommendations, supporting opportunity capture across technology and services.
• Supports strategic investment planning by pairing clear segmentation with evolving market and policy dynamics.
• Helps organizations benchmark operations and respond competitively to shifts in global technology trends.

Key Attributes

Report Attribute	Details
No. of Pages	197
Forecast Period	2025-2032
Estimated Market Value (USD) in 2025	$17.1 Billion
Forecasted Market Value (USD) by 2032	$185.18 Billion
Compound Annual Growth Rate	40.6%
Regions Covered	Global

Key Topics Covered
1. Preface
2. Research Methodology

3. Executive Summary

4. Market Overview

5. Market Insights
5.1. Integration of deep generative models for accelerated polymer property prediction in materials design
5.2. Implementation of active learning pipelines for automated high-throughput screening in pharmaceutical discovery
5.3. Adoption of explainable transformer architectures for predicting reaction pathways in complex synthetic chemistry
5.4. Deployment of multi-fidelity modeling combining quantum calculations and machine learning for alloy composition optimization
5.5. Utilization of reinforcement learning-driven process control to enhance chemical manufacturing efficiency and sustainability
5.6. Development of graph neural networks for mapping molecular interactions to predict battery electrolyte performance under operational conditions
6. Cumulative Impact of United States Tariffs 2025

7. Cumulative Impact of Artificial Intelligence 2025

8. AI in Chemical & Material Informatics Market, by Technology
8.1. Computer Vision
8.2. Data Analytics
8.2.1. Descriptive Analytics
8.2.2. Predictive Analytics
8.2.3. Prescriptive Analytics
8.3. Deep Learning
8.3.1. Convolutional Neural Network
8.3.2. Generative Adversarial Network
8.3.3. Recurrent Neural Network
8.4. Machine Learning
8.4.1. Reinforcement Learning
8.4.2. Supervised Learning
8.4.3. Unsupervised Learning
9. AI in Chemical & Material Informatics Market, by Application
9.1. Drug Discovery
9.1.1. Lead Identification
9.1.2. Molecular Screening
9.2. Materials Design
9.3. Process Optimization
9.3.1. Energy Efficiency
9.3.2. Reaction Optimization
9.4. Quality Control
9.5. Supply Chain Management
10. AI in Chemical & Material Informatics Market, by Component
10.1. Hardware
10.1.1. Processors
10.1.2. Sensors
10.1.3. Storage Systems
10.2. Services
10.2.1. Consulting
10.2.2. Implementation
10.2.3. Training
10.3. Software
10.3.1. Data Management
10.3.2. Modeling Tools
10.3.3. Visualization Tools
11. AI in Chemical & Material Informatics Market, by Deployment
11.1. Cloud
11.2. Edge
11.3. Hybrid
11.4. On Premise
12. AI in Chemical & Material Informatics Market, by End User
12.1. Academic Research
12.2. Chemicals
12.3. Material Science
12.4. Pharmaceuticals
13. AI in Chemical & Material Informatics Market, by Region
13.1. Americas
13.1.1. North America
13.1.2. Latin America
13.2. Europe, Middle East & Africa
13.2.1. Europe
13.2.2. Middle East
13.2.3. Africa
13.3. Asia-Pacific
14. AI in Chemical & Material Informatics Market, by Group
14.1. ASEAN
14.2. GCC
14.3. European Union
14.4. BRICS
14.5. G7
14.6. NATO
15. AI in Chemical & Material Informatics Market, by Country
15.1. United States
15.2. Canada
15.3. Mexico
15.4. Brazil
15.5. United Kingdom
15.6. Germany
15.7. France
15.8. Russia
15.9. Italy
15.10. Spain
15.11. China
15.12. India
15.13. Japan
15.14. Australia
15.15. South Korea
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
The key companies profiled in this AI in Chemical & Material Informatics market report include:

• Accenture plc
• International Business Machines Corporation
• Thermo Fisher Scientific Inc.
• Dassault Systemes SE
• BASF SE
• NVIDIA Corporation
• SAP SE
• Schrodinger, Inc.
• RELX plc
• Dow Inc.

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