Global Material Informatics Market Size Study, by Technique, by Elements, by Chemicals, by Application, and Regional Forecasts 2022-2032

Description

The Global Material Informatics Market was valued at approximately USD 129 million in 2023 and is projected to expand at a compound annual growth rate (CAGR) of 16.3% over the forecast period 2024-2032. The rapid advancements in artificial intelligence (AI) and computational modeling have transformed material discovery, fostering the emergence of material informatics as a critical enabler in research and development. Material informatics employs data-driven methodologies to predict material properties, optimize compositions, and accelerate innovation across industries such as chemicals, pharmaceuticals, and manufacturing. By leveraging AI-powered simulations and machine learning algorithms, researchers and enterprises can significantly reduce costs and time associated with traditional trial-and-error material design, making this technology indispensable in modern industrial applications.

Material informatics is gaining traction due to its ability to integrate vast datasets from multiple sources, including experimental results, theoretical calculations, and literature reviews. This integration allows for a more comprehensive understanding of material behaviors, fostering breakthroughs in novel alloys, biocompatible materials, and high-performance polymers. The demand for data-centric material design is being fueled by increased investment in nanotechnology, energy-efficient materials, and eco-friendly alternatives, all of which align with global sustainability initiatives. Moreover, advances in digital annealers and deep tensor networks are revolutionizing complex material analysis, enabling the rapid screening of thousands of possible material combinations within seconds.

The widespread adoption of material informatics in pharmaceutical and chemical applications is driving its expansion, with companies utilizing AI-driven models to develop high-performance drug compounds, specialty polymers, and advanced coatings. Additionally, the push toward lightweight, corrosion-resistant, and high-durability materials in automotive and aerospace industries is prompting greater investment in predictive material science. Despite its immense potential, challenges such as high computational costs, the need for extensive high-quality datasets, and resistance to technological transition in legacy industries may hinder adoption. However, as computational power increases and data accessibility improves, these barriers are expected to diminish, paving the way for widespread implementation.

Regionally, North America dominates the material informatics market, propelled by leading AI research institutions, government-backed funding for material science, and strong industry-academia collaborations. The United States and Canada are at the forefront of data-driven material discovery, with key players deploying AI-enhanced simulations for rapid material prototyping. Europe follows closely, with countries such as Germany, the UK, and France driving significant advancements in nanotechnology and smart materials. Meanwhile, the Asia-Pacific region is poised for the fastest growth, primarily due to China, Japan, and India's increasing investment in AI-based material discovery and growing industrial automation. As global industries embrace AI-driven R&D, material informatics is set to revolutionize material design, making it a cornerstone of future technological advancements.

Major Market Players Included in This Report:

Schrodinger, Inc.
BASF SE
ExxonMobil Corporation
Materials Design, Inc.
Dassault Systemes SE
Citrine Informatics
Alchemy Cloud, Inc.
AI Materia
The Dow Chemical Company
Hitachi High-Tech Corporation
IBM Corporation
Google LLC
Johnson Matthey Plc
Royal DSM N.V.
Accelrys (BIOVIA)

The Detailed Segments and Sub-Segment of the Market Are Explained Below:

By Technique:

Statistical Analysis
Genetic Algorithm
Deep Tensors
Digital Annealers

By Elements:

Metals
Alloys

By Chemicals:

Dyes
Polymers
Biomolecules

By Application:

Chemical
Pharmaceutical

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa
Common Content for Report Description

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market estimates and forecasts for 10 years (2022-2032).
Annualized revenue and regional-level analysis for each market segment.
Detailed geographical landscape with country-level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approaches.
Competitive structure analysis of the market.
Demand-side and supply-side analysis of the market.

Chapter 1. Global Material Informatics Market Executive Summary

1.1. Global Material Informatics Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. {By Technique}
  - Statistical Analysis
  - Genetic Algorithm
  - Deep Tensors
  - Digital Annealers
- 1.3.2. {By Elements}
  - Metals
  - Alloys
- 1.3.3. {By Chemicals}
  - Dyes
  - Polymers
  - Biomolecules
- 1.3.4. {By Application}
  - Chemical
  - Pharmaceutical
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Material Informatics Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory Frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Material Informatics Market Dynamics

3.1. Market Drivers
- 3.1.1. Rapid Advancements in AI and Computational Modeling
- 3.1.2. Increasing Investment in Material R&D
- 3.1.3. Rising Demand for Sustainable and Cost-Effective Material Discovery
3.2. Market Challenges
- 3.2.1. High Computational Costs and Extensive Data Requirements
- 3.2.2. Resistance to Technological Transition in Legacy Industries
3.3. Market Opportunities
- 3.3.1. Integration of Cross-Industry Data and Collaborative Innovation
- 3.3.2. Government Initiatives and Funding in Material Science
- 3.3.3. Expanding Applications in Chemical and Pharmaceutical Sectors

Chapter 4. Global Material Informatics Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Material Informatics Market Size & Forecasts by Technique and Elements 2022-2032

5.1. Segment Dashboard
5.2. Global Material Informatics Market: {Technique} Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 5.2.1. Statistical Analysis
- 5.2.2. Genetic Algorithm
- 5.2.3. Deep Tensors
- 5.2.4. Digital Annealers
5.3. Global Material Informatics Market: {Elements} Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 5.3.1. Metals
- 5.3.2. Alloys

Chapter 6. Global Material Informatics Market Size & Forecasts by Chemicals and Application 2022-2032

6.1. Segment Dashboard
6.2. Global Material Informatics Market: {Chemicals} Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 6.2.1. Dyes
- 6.2.2. Polymers
- 6.2.3. Biomolecules
6.3. Global Material Informatics Market: {Application} Revenue Trend Analysis, 2022 & 2032 (USD Million)
- 6.3.1. Chemical
- 6.3.2. Pharmaceutical

Chapter 7. Global Material Informatics Market Size & Forecasts by Region 2022-2032

7.1. North America Material Informatics Market
- 7.1.1. U.S. Material Informatics Market
  - 7.1.1.1. {Technique & Elements} Breakdown Size & Forecasts, 2022-2032
  - 7.1.1.2. {Chemicals & Application} Breakdown Size & Forecasts, 2022-2032
- 7.1.2. Canada Material Informatics Market
7.2. Europe Material Informatics Market
- 7.2.1. U.K. Material Informatics Market
- 7.2.2. Germany Material Informatics Market
- 7.2.3. France Material Informatics Market
- 7.2.4. Spain Material Informatics Market
- 7.2.5. Italy Material Informatics Market
- 7.2.6. Rest of Europe Material Informatics Market
7.3. Asia-Pacific Material Informatics Market
- 7.3.1. China Material Informatics Market
- 7.3.2. India Material Informatics Market
- 7.3.3. Japan Material Informatics Market
- 7.3.4. Australia Material Informatics Market
- 7.3.5. South Korea Material Informatics Market
- 7.3.6. Rest of Asia-Pacific Material Informatics Market
7.4. Latin America Material Informatics Market
- 7.4.1. Brazil Material Informatics Market
- 7.4.2. Mexico Material Informatics Market
- 7.4.3. Rest of Latin America Material Informatics Market
7.5. Middle East & Africa Material Informatics Market
- 7.5.1. Saudi Arabia Material Informatics Market
- 7.5.2. South Africa Material Informatics Market
- 7.5.3. Rest of Middle East & Africa Material Informatics Market

Chapter 8. Competitive Intelligence

8.1. Key Company SWOT Analysis
- 8.1.1. Schrodinger, Inc.
- 8.1.2. BASF SE
- 8.1.3. ExxonMobil Corporation
8.2. Top Market Strategies
8.3. Company Profiles
- 8.3.1. Schrodinger, Inc.
  - 8.3.1.1. Key Information
  - 8.3.1.2. Overview
  - 8.3.1.3. Financial (Subject to Data Availability)
  - 8.3.1.4. Product Summary
  - 8.3.1.5. Market Strategies
- 8.3.2. Materials Design, Inc.
- 8.3.3. Dassault Systemes SE
- 8.3.4. Citrine Informatics
- 8.3.5. Alchemy Cloud, Inc.
- 8.3.6. AI Materia
- 8.3.7. The Dow Chemical Company
- 8.3.8. Hitachi High-Tech Corporation
- 8.3.9. IBM Corporation
- 8.3.10. Google LLC
- 8.3.11. Johnson Matthey Plc
- 8.3.12. Royal DSM N.V.
- 8.3.13. Accelrys (BIOVIA)

Chapter 9. Research Process

9.1. Research Process
- 9.1.1. Data Mining
- 9.1.2. Analysis
- 9.1.3. Market Estimation
- 9.1.4. Validation
- 9.1.5. Publishing
9.2. Research Attributes