Material Informatics Market Size, Share & Trends Analysis Report By Application (Chemical and Pharmaceuticals, Material Science, Manufacturing, Food Science, Energy, Others), By Material Type (Elements, Chemicals, Others), By Technique (Digital Annealer, Deep Tensor, Statistical Analysis, Genetic Algorithm), By Region, And By Segment Forecasts, 2025-2034

Report Id: 2305 Pages: 180 Last Updated: 19 March 2025 Format: PDF / PPT / Excel / Power BI
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Segmentation of Material Informatics Market-

Material Informatics Market By Application-

  • Chemical and Pharmaceuticals
  • Material Science
  • Manufacturing
  • Food Science
  • Energy
  • Others

Material Informatics Market Seg

Material Informatics Market By Material Type-

  • Elements
  • Chemicals
  • Others

Material Informatics Market By Technique-

  • Digital Annealer
  • Deep Tensor
  • Statistical Analysis
  • Genetic Algorithm

Material Informatics Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • Southeast Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Material Informatics Market Snapshot

Chapter 4. Global Material Informatics Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Industry Analysis – Porter’s Five Forces Analysis

4.6. Competitive Landscape & Market Share Analysis

4.7. Technology Advancement in Material Informatics Market

4.8. Key Trends in the Market

Chapter 5. Market Segmentation 1:  Material Type Estimates & Trend Analysis

5.1.  Material Type & Market Share, 2024 & 2034

5.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Material Type:

5.2.1. Elements

5.2.2. Chemicals

5.2.3. Others

Chapter 6. Market Segmentation 2: Application Estimates & Trend Analysis

6.1. Application & Market Share, 2024 & 2034

6.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Application:

6.2.1. Chemical and Pharmaceuticals

6.2.2. Material Science

6.2.3. Manufacturing

6.2.4. Food Science

6.2.5. Energy

6.2.6. Others

Chapter 7. Market Segmentation 3: Technique Estimates & Trend Analysis

7.1. Technique & Market Share, 2024 & 2034

7.2. Market Size (Value US$ Mn) & Forecasts and Trend Analyses, 2021 to 2034 for the following Technique:

7.2.1. Digital Annealer

7.2.2. Deep Tensor

7.2.3. Statistical Analysis

7.2.4. Genetic Algorithm

Chapter 8. Material Informatics Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Material Informatics Market revenue (US$ Million) estimates and forecasts by Material Type, 2021-2034

8.1.2. North America Material Informatics Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

8.1.3. North America Material Informatics Market revenue (US$ Million) estimates and forecasts by Technique, 2021-2034

8.1.4. North America Material Informatics Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

8.1.4.1. U.S.

8.1.4.2. Canada

8.2. Europe

8.2.1. Europe Material Informatics Market revenue (US$ Million) estimates and forecasts by Material Type, 2021-2034

8.2.2. Europe Material Informatics Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

8.2.3. Europe Material Informatics Market revenue (US$ Million) estimates and forecasts by Technique, 2021-2034

8.2.4. Europe Material Informatics Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

8.2.4.1. Germany

8.2.4.2. France

8.2.4.3. Italy

8.2.4.4. Spain

8.2.4.5. UK

8.2.4.6. Rest of Europe

8.3. Asia Pacific

8.3.1. Asia Pacific Material Informatics Market revenue (US$ Million) estimates and forecasts by Material Type, 2021-2034

8.3.2. Asia Pacific Material Informatics Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

8.3.3. Asia Pacific Material Informatics Market revenue (US$ Million) estimates and forecasts by Technique, 2021-2034

8.3.4. Asia Pacific Material Informatics Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

8.3.4.1. China

8.3.4.2. India

8.3.4.3. Japan

8.3.4.4. Australia

8.3.4.5. Rest of Asia Pacific

8.4. Latin America

8.4.1. Latin America Material Informatics Market revenue (US$ Million) estimates and forecasts by Material Type, 2021-2034

8.4.2. Latin America Material Informatics Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

8.4.3. Latin America Material Informatics Market revenue (US$ Million) estimates and forecasts by Technique, 2021-2034

8.4.4. Latin America Material Informatics Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

8.4.4.1. Brazil

8.4.4.2. Rest of Latin America

8.5. MEA

8.5.1. MEA revenue Material Informatics Market revenue (US$ Million) estimates and forecasts by Material Type, 2021-2034

8.5.2. MEA Material Informatics Market revenue (US$ Million) estimates and forecasts by Application, 2021-2034

8.5.3. MEA Material Informatics Market revenue (US$ Million) estimates and forecasts by Technique, 2021-2034

8.5.4. MEA revenue Material Informatics Market revenue (US$ Million) estimates and forecasts by country, 2021-2034

8.5.4.1. GCC Countries

8.5.4.2. South Africa

8.5.4.3. Rest of MEA

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. Exabyte.io

9.2.2. Alpine Electronics Inc.

9.2.3. Phaseshift Technologies

9.2.4. Nutonian Inc.

9.2.5. Schrodinger

9.2.6. Citrine Informatics

9.2.7. Materials Zone Ltd.

9.2.8. BASF

9.2.9. Kebotix

9.2.10. AI Materia

9.2.11. Tilde Materials Informatics  

9.2.12. Noble.AI 

9.2.13. Nutonian Inc.  

9.2.14. MAT3RA  

9.2.15. MaterialsDesign  

9.2.16. Hitachi High-Tech  

9.2.17. Dassault Systems

9.2.18. Alloyed

9.2.19. Exponential Technologies (Xt)

9.2.20. Innophore

9.2.21. Intellegens   

9.2.22. Other prominent players

9.2.23. Formulatrix

9.2.24. Qiagen N.V.

9.2.25. Labvantage Solutions, Inc.

9.2.26. Bio-Rad Laboratories, Inc.

9.2.27. Labware

9.2.28. Analytik Jena GMBH

9.2.29. Other Prominent Player

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

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Frequently Asked Questions

Material Informatics Market Size is valued at USD 145.1 Million in 2024 and is predicted to reach USD 703.4 Million by the year 2034

Material Informatics Market is expected to grow at a 17.2% CAGR during the forecast period for 2025.2034

MAT3RA, MaterialsDesign, Hitachi High-Tech, Dassault Systems, Alloyed, Exponential Technologies (Xt), Innophore, Intellegens, Others

Application, Material Type and Technique are the key segments of the Material Informatics Market.

North American region is leading the Material Informatics Market.

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