Material Informatics Market

Material Informatics Market By Material Type (Elements, Chemicals, Others); By Technology (Machine Learning, Deep Tensor, Statistical Analysis, Digital Annealer, Others); By End-use (Material Science, Chemical and Pharmaceutical, Electronics and Semiconductors, Automotive, Aerospace and Defense, Others) – Growth, Share, Opportunities & Competitive Analysis, 2024 – 2032

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Published: | Report ID: 96672 | Report Format : Excel, PDF
REPORT ATTRIBUTE DETAILS
Historical Period 2020-2023
Base Year 2024
Forecast Period 2025-2032
 Material Informatics Market Size 2024 USD77.97 million
 Material Informatics Market, CAGR 20.5%
 Material Informatics Market Size 2032  USD346.5 million

Market Overview

The Global Material Informatics Market is projected to grow from USD77.97 million in 2024 to an estimated USD346.5 million based on 2032, with a compound annual growth rate (CAGR) of 20.5% from 2025 to 2032.

The market is primarily driven by the need for faster and cost-effective materials research and the growing integration of AI in material science. Trends such as digital transformation in R&D processes, increased reliance on simulation models, and the adoption of cloud-based platforms are further propelling market growth. Additionally, government and institutional funding for advanced material research, along with industry collaboration with academic and research institutions, is accelerating the adoption of material informatics solutions. The growing emphasis on sustainability and lightweight materials in manufacturing sectors also contributes to increased demand.

Geographically, North America dominates the material informatics market, driven by the strong presence of technology companies and research institutions, as well as substantial investment in digital innovation. Europe follows closely with advancements in industrial automation and smart materials. The Asia-Pacific region is expected to witness the highest growth rate due to rapid industrialization, increasing R&D spending, and a booming electronics and manufacturing sector. Key players in the market include Citrine Informatics, Materials Zone, Kebotix, Exabyte.io, and Mat3ra.\

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Market Insights

  • The Global Material Informatics Market is projected to grow from USD 77.97 million in 2024 to USD 346.5 million by 2032, registering a CAGR of 20.5% from 2025 to 2032.
  • The market is driven by the rising integration of artificial intelligence and machine learning in materials research to reduce discovery time and improve accuracy.
  • Growing emphasis on eco-friendly and lightweight materials across manufacturing industries fuels the adoption of material informatics platforms.
  • High setup costs and limited technical expertise pose challenges for small and mid-sized enterprises, slowing market penetration in some regions.
  • The lack of standardized and structured material databases restricts the effectiveness of AI-driven tools, limiting innovation potential.
  • North America dominates the Global Material Informatics Market with 38.2% share, supported by advanced R\&D infrastructure and digital innovation.
  • Asia-Pacific is set to record the highest growth rate due to rapid industrialization, expanding electronics sector, and increased R\&D investments.

Market Drivers

Rising Demand for Accelerated Material Discovery in High-Tech Industries

The Global Material Informatics Market benefits significantly from the need to shorten material development cycles across sectors like electronics, automotive, and aerospace. Industries require faster innovation to meet changing performance, durability, and sustainability standards. Material informatics platforms help identify promising compounds through AI-driven simulations and data analytics, reducing trial-and-error in laboratories. Companies aim to speed up prototyping while minimizing costs, pushing demand for digital tools that streamline material selection. It supports data reuse and improves accuracy in forecasting material behavior. This enables quicker transitions from concept to commercialization, aligning with fast-evolving industry needs.

  • For instance, semiconductor manufacturers in Asia deployed over 5,000 AI-driven material discovery systems in 2024 to enhance research efficiency.

Increased Integration of Artificial Intelligence and Machine Learning in R\&D

Material informatics relies heavily on the integration of AI and machine learning into scientific research workflows. Organizations use algorithms to mine existing datasets and predict outcomes for untested combinations of material properties. It reduces the reliance on physical experiments and allows rapid evaluation of a wide range of variables. This predictive capability enhances research efficiency and enables the discovery of novel materials with optimized performance. Businesses are adopting these technologies to stay competitive and address evolving product specifications. The Global Material Informatics Market is growing in sync with these technological advancements in computational sciences.

  • For instance, research institutions globally processed more than 10 million material property datasets using machine learning algorithms in 2024 to optimize material selection.

Growing Demand for Sustainable and High-Performance Materials

Companies are under mounting pressure to develop materials that are both high-performing and environmentally friendly. Material informatics helps identify eco-friendly alternatives without sacrificing quality or functionality. It enables manufacturers to comply with stricter environmental regulations while maintaining operational efficiency. The market benefits from increasing investment in green technologies, especially in packaging, construction, and energy sectors. Organizations use material informatics to reduce waste and improve lifecycle analysis. The Global Material Informatics Market continues to expand alongside the pursuit of sustainable innovation.

Expansion of Cloud-Based Platforms and Collaborative Research Ecosystems

The rise of cloud infrastructure supports scalable material informatics platforms that facilitate data sharing and remote collaboration. Researchers across institutions and geographies can now access and contribute to unified databases. It allows seamless integration of experimental and computational data, strengthening decision-making in R\&D. Collaborative frameworks are encouraging faster innovation and reducing redundancy in global material science efforts. Industry partnerships with academic institutions and research labs fuel technology adoption. The Global Material Informatics Market grows as digital ecosystems mature and foster cross-disciplinary research.

Market Trends

Integration of Advanced Analytics and Big Data in Material Science

The Global Material Informatics Market is witnessing a sharp rise in the adoption of big data tools and advanced analytics. Companies are generating large volumes of experimental and computational data that require robust systems for storage, processing, and interpretation. Material informatics platforms are evolving to incorporate these capabilities, offering deeper insights into material properties and performance. It enhances data-driven decision-making and supports the development of highly customized materials. Firms are investing in high-performance computing systems to handle complex simulations. This shift transforms traditional material R\&D into a more agile and informed process.

  • For instance, over 250 companies worldwide have integrated material informatics platforms with big data analytics to enhance material discovery and optimization

Shift Toward Autonomous Research and Self-Driving Laboratories

Material science is moving toward automation, with growing interest in self-driving laboratories that integrate robotics and AI. These labs operate with minimal human intervention, conducting experiments, analyzing results, and adjusting parameters automatically. It allows researchers to accelerate discovery while reducing human error. The trend supports continuous research cycles and aligns with the need for faster innovation. The Global Material Informatics Market gains momentum from this evolution in laboratory automation. Companies are exploring this model to boost productivity and maximize research output.

  • For instance, more than 180 autonomous research laboratories have been established globally, leveraging AI-driven automation to accelerate material science innovation

Growing Adoption of Cloud-Based Platforms for Collaborative Innovation

Cloud computing is transforming the way material data is stored, shared, and accessed across global teams. Organizations are leveraging cloud-based material informatics tools to enable collaboration between researchers, institutions, and industries. It ensures real-time updates, centralized data repositories, and scalability across projects. This trend enhances research transparency and promotes innovation across disciplines. The growing preference for remote and hybrid work environments reinforces the adoption of cloud tools. The Global Material Informatics Market reflects this shift toward interconnected, cloud-first infrastructures.

Focus on Custom Materials for Emerging Technologies

Emerging technologies such as flexible electronics, solid-state batteries, and biocompatible implants require highly specific material properties. The market is responding with informatics platforms tailored to support these applications. It enables researchers to explore vast material combinations to meet exact performance requirements. Companies are designing bespoke materials for niche markets with the help of predictive modeling. The Global Material Informatics Market supports this trend by offering scalable solutions that cater to applicationpecific demands. This focus on customization drives both innovation and market differentiation.

Market Challenges

Limited Availability of High-Quality and Structured Data for Analysis

The effectiveness of material informatics relies heavily on access to accurate, high-quality, and well-structured datasets. Many research labs and industries still store data in unstructured formats or maintain isolated databases, creating barriers to integration. It restricts the ability of AI models to generate reliable predictions and limits the scope of material discovery. The lack of standardized data-sharing protocols across organizations and regions further complicates collaboration. The Global Material Informatics Market faces this data inconsistency challenge, which slows down the pace of innovation. Overcoming this barrier requires coordinated efforts to digitize legacy records and develop interoperable data frameworks.

  • For instance, over 50,000 AI-driven simulations in 2024 to accelerate material discovery and optimize formulations

High Implementation Costs and Limited Technical Expertise

The adoption of material informatics solutions often demands substantial upfront investment in infrastructure, software, and skilled personnel. Small and mid-sized enterprises may find it difficult to justify the cost, especially without clear short-term ROI. It requires specialized knowledge in data science, AI, and material science, which remains scarce in many regions. Organizations struggle to recruit or train professionals capable of managing these multidisciplinary platforms. The Global Material Informatics Market must address these limitations to ensure broader adoption and long-term growth. Market expansion depends on reducing entry barriers through education, cost-effective solutions, and accessible training programs.

Market Opportunities

Expansion into Emerging Economies with Growing R\&D Capabilities

Emerging economies are investing in scientific infrastructure and digital technologies, creating fertile ground for material informatics adoption. Countries in Asia-Pacific, Latin America, and the Middle East are expanding their focus on advanced manufacturing, renewable energy, and electronics, all of which demand innovative materials. It presents an opportunity for global vendors to offer scalable and localized material informatics platforms. Governments in these regions are funding academic-industry collaborations, which can accelerate market entry and foster innovation. The Global Material Informatics Market can tap into these developments by forming regional partnerships and offering tailored solutions. Local demand for faster, cost-efficient material discovery will continue to rise.

Rising Demand in Biomedicine, Energy Storage, and Electronics

Sectors such as biomedicine, battery technology, and flexible electronics require high-performance, application-specific materials. Material informatics can meet this demand by enabling faster and more precise material selection and optimization. It creates new opportunities for companies to design and deliver materials that improve product efficiency, sustainability, and cost-effectiveness. The Global Material Informatics Market stands to benefit from increased investment in next-generation technologies and smart devices. Industry-specific informatics platforms can unlock untapped markets by addressing niche requirements. This demand for precision-driven material design will support long-term market growth.

Market Segmentation Analysis

By Type

The Global Material Informatics Market includes several vacuum measurement technologies essential for data-driven material research. Capacitance manometers dominate precision applications due to their accuracy and reliability in low-pressure environments. Thermocouple and Pirani gauges remain widely used in routine material analysis for their cost-efficiency and simplicity. Quartz crystal gauges provide valuable insights in thin-film studies where mass change measurements are critical. Each type supports unique experimental requirements and contributes to accelerating discovery cycles across material science.

By Application

Material informatics platforms find broad applications in semiconductor manufacturing, research and development, thin film deposition, and vacuum packaging. Semiconductor manufacturing leads adoption due to its dependence on accurate process monitoring and material precision. R\&D institutions use informatics tools to model new compounds and simulate outcomes before synthesis. Thin film deposition benefits from predictive analytics that optimize coating characteristics. Vacuum packaging applications leverage material models to enhance packaging efficiency and integrity.

By End-Use

End-users of material informatics span industrial, healthcare, electronics, and aerospace sectors. Industrial users apply informatics to optimize production materials for durability and sustainability. Healthcare leverages it in the design of biocompatible substances and pharmaceutical compounds. Electronics companies use data-driven models to innovate with lightweight, conductive materials. Aerospace integrates informatics to enhance high-performance composites for structural components and propulsion systems.

By Distribution Channel

The market operates through online retail, direct sales, and distributors. Direct sales remain prevalent in enterprise deals requiring customization and integration. Distributors provide regional access and technical support for standardized solutions. Online retail is expanding, offering accessible platforms for academic and small-scale users to adopt material informatics tools efficiently.

Segments

Based on Material Type

  • Elements
  • Chemicals
  • Others

Based on Technology

  • Machine Learning
  • Deep Tensor
  • Statistical Analysis
  • Digital Annealer
  • Others

Based on End-use

  • Material Science
  • Chemical and Pharmaceutical
  • Electronics and Semiconductors
  • Automotive
  • Aerospace and Defense
  • Others

Based on Region

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • UK
    • France
    • Germany
    • Italy
    • Spain
    • Russia
    • Belgium
    • Netherlands
    • Austria
    • Sweden
    • Poland
    • Denmark
    • Switzerland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • India
    • Australia
    • Thailand
    • Indonesia
    • Vietnam
    • Malaysia
    • Philippines
    • Taiwan
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Argentina
    • Peru
    • Chile
    • Colombia
    • Rest of Latin America
  • Middle East
    • UAE
    • KSA
    • Israel
    • Turkey
    • Iran
    • Rest of Middle East
  • Africa
    • Egypt
    • Nigeria
    • Algeria
    • Morocco
    • Rest of Africa

Regional Analysis

North America Material Informatics Market

North America holds the largest share of the Global Material Informatics Market, accounting for 38.2% in 2024. The region’s dominance stems from its advanced R\&D infrastructure, strong government funding, and early adoption of AI technologies in material science. The United States leads in academic and commercial material research, with major universities and tech firms integrating data-driven platforms. Key players such as Citrine Informatics and Kebotix operate from this region, supporting innovation and commercialization. It benefits from robust collaboration between public research institutes and private enterprises. The presence of high-performance computing facilities supports complex material modeling tasks.

Europe Material Informatics Market

Europe represents 26.5% of the global market share, driven by growing investments in sustainable materials and industrial digitization. Countries like Germany, France, and the UK are leading the deployment of AI in research environments and clean technology applications. The region focuses on reducing material waste and carbon emissions, creating demand for optimized material discovery processes. It supports cross-sector collaborations to accelerate innovation in lightweight materials and energy-efficient compounds. Material informatics aligns with EU sustainability goals, promoting funding and regulatory support. Several startups and research consortia contribute to the region’s competitive landscape.

Asia-Pacific Material Informatics Market

Asia-Pacific holds 22.8% of the Global Material Informatics Market and is projected to grow at the highest CAGR during the forecast period. Rapid industrialization in China, India, Japan, and South Korea increases demand for efficient materials in electronics, automotive, and energy. Governments support digital innovation through national AI strategies and research funding. The market sees expanding adoption of informatics tools in semiconductor and battery manufacturing sectors. It benefits from the presence of advanced manufacturing clusters and growing technical expertise. Regional players are emerging to serve local industries with cost-effective, scalable solutions.

Latin America Material Informatics Market

Latin America accounts for 6.4% of the global share, with Brazil and Mexico driving regional growth. The market remains in the early adoption phase but is witnessing increased activity in academic and industrial research. Government initiatives promoting innovation and digitization are creating a favorable environment for material informatics adoption. It faces challenges such as limited infrastructure and lower R\&D budgets compared to developed regions. However, growing demand for advanced materials in energy and agriculture sectors presents opportunities. Collaborations with global providers help accelerate knowledge transfer and market expansion.

Middle East & Africa Material Informatics Market

The Middle East & Africa region captures 3.1% of the Global Material Informatics Market, led by efforts in the UAE, Saudi Arabia, and South Africa. Countries in this region are investing in research institutions and diversifying beyond traditional oil-based economies. The market supports innovation in sectors like construction, energy, and water treatment, where material efficiency plays a key role. It experiences growing interest in AI-driven platforms, though adoption is limited by infrastructure gaps and a shortage of skilled professionals. The presence of free trade zones and science parks supports market entry for global vendors. It is expected to grow steadily with increasing digital transformation initiatives.

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Key players

  • ABB
  • Citrine Informatics
  • Dassault Systèmes
  • Elsevier
  • Hitachi High-Tech Corporation
  • International Business Machines Corporation
  • Lattice Technology, Inc.
  • Microsoft
  • Phaseshift Technologies Inc.
  • Schrodinger, Inc.

Competitive Analysis

The Global Material Informatics Market features a mix of technology giants, specialized startups, and enterprise software providers. Companies like Citrine Informatics and Schrodinger lead in AI-powered material discovery platforms, offering tools tailored to research-intensive industries. Dassault Systèmes and IBM integrate material informatics within broader engineering and data analytics ecosystems, enhancing product lifecycle management. Microsoft provides cloud infrastructure that supports scalable informatics solutions across sectors. Hitachi and ABB contribute through automation and instrumentation capabilities, bridging physical experimentation with digital modeling. It shows growing competitiveness with players investing in machine learning, collaborative tools, and domain-specific databases. Strategic partnerships, acquisitions, and platform integration define the market’s evolution.

Recent Developments

  • In June 2023, Citrine Informatics announced a record quarter for annual contract value (ACV) bookings and 150% sequential quarter growth, driven by long-term contracts and rapid penetration within the growing battery industry.
  • In January 2025, Hitachi High-Tech announced the development of a Manufacturing Process Improvement Solution aimed at finding optimal manufacturing processes and enhancing its informatics business.
  • In January 2025, Lattice Semiconductor won the 2025 BIG Innovation Award with its new Lattice Nexus 2 FPGA Platform, advancing its leadership in low-power FPGA solutions.

Market Concentration and Characteristics 

The Global Material Informatics Market is moderately concentrated, with a mix of established technology firms and emerging startups competing for market share. It is characterized by a strong emphasis on innovation, AI integration, and data-driven research capabilities. Leading companies differentiate themselves through proprietary algorithms, comprehensive material databases, and strategic collaborations with research institutions. The market exhibits high entry barriers due to the need for specialized technical expertise and substantial investment in data infrastructure. It also shows a growing shift toward cloud-based platforms and industry-specific solutions that enhance material discovery and process optimization. The pace of innovation and continuous product enhancement define its competitive landscape.

Report Coverage

The research report offers an in-depth analysis based on Material Type, Technology, End-use and Region. It details leading market players, providing an overview of their business, product offerings, investments, revenue streams, and key applications. Additionally, the report includes insights into the competitive environment, SWOT analysis, current market trends, as well as the primary drivers and constraints. Furthermore, it discusses various factors that have driven market expansion in recent years. The report also explores market dynamics, regulatory scenarios, and technological advancements that are shaping the industry. It assesses the impact of external factors and global economic changes on market growth. Lastly, it provides strategic recommendations for new entrants and established companies to navigate the complexities of the market.

Future Outlook

  1. The Global Material Informatics Market will see broader adoption across industries including aerospace, automotive, electronics, and healthcare. Companies will increasingly leverage data-driven platforms to optimize material selection and performance.
  1. Vendors will develop customized material informatics platforms tailored to niche applications such as battery development, biodegradable plastics, and pharmaceutical compounds. This shift will support domain-specific innovation and commercialization.
  1. The use of quantum computing will enhance predictive capabilities in complex material simulations. Organizations will explore new material combinations with greater speed and accuracy through advanced quantum algorithms.
  1. Global collaborations will lead to the development of open-source material databases. Shared access to structured experimental and simulation data will fuel collective research and reduce duplication.
  1. Automated laboratories powered by AI and robotics will become more prevalent. These labs will accelerate material discovery by continuously conducting, analyzing, andrefining experiments with minimal human intervention.
  1. Environmental regulations and consumer demand will drive investment in green material research. Material informatics will support the design of eco-friendly composites, lightweight alternatives, and recyclable materials.
  1. Material informatics platforms will integrate with design and manufacturing systems, enabling seamless transition from material discovery to end-product production. This digital thread will streamline innovation and reduce costs.
  1. Asia-Pacific and other emerging markets will experience the highest growth rates due to increased R\&D spending, digital transformation initiatives, and rising demand for advanced manufacturing materials.
  1. Governments and industry bodies will establish guidelines for data sharing, model validation, and ethics in AI-driven material research. These standards will ensure transparency, reliability, and cross-border collaboration.
  1. Universities and training institutes will incorporate material informatics into STEM curricula. This will help build a skilled workforce capable of leveraging AI, data science, and materials engineering in tandem.

1. Introduction  

1.1. Report Description

1.2. Purpose of the Report

1.3. USP & Key Offerings

1.4. Key Benefits for Stakeholders

1.5. Target Audience

1.6. Report Scope

1.7. Regional Scope

 

2. Scope and Methodology  

2.1. Objectives of the Study

2.2. Stakeholders

2.3. Data Sources

2.3.1. Primary Sources

2.3.2. Secondary Sources

2.4. Market Estimation

2.4.1. Bottom-Up Approach

2.4.2. Top-Down Approach

2.5. Forecasting Methodology

 

3. Executive Summary  

 

4. Introduction  

4.1. Overview

4.2. Key Industry Trends

 

5. Global Material Informatics Market  

5.1. Market Overview

5.2. Market Performance

5.3. Impact of COVID-19

5.4. Market Forecast

 

6. Market Breakup By Material Type  

6.1. Elements

6.1.1. Market Trends

6.1.2. Market Forecast

6.1.3. Revenue Share

6.1.4. Revenue Growth Opportunity

6.2. Chemicals

6.2.1. Market Trends

6.2.2. Market Forecast

6.2.3. Revenue Share

6.2.4. Revenue Growth Opportunity

6.3. Others

6.3.1. Market Trends

6.3.2. Market Forecast

6.3.3. Revenue Share

6.3.4. Revenue Growth Opportunity

 

7. Market Breakup By Technology  

7.1. Machine Learning

7.1.1. Market Trends

7.1.2. Market Forecast

7.1.3. Revenue Share

7.1.4. Revenue Growth Opportunity

7.2. Deep Tensor

7.2.1. Market Trends

7.2.2. Market Forecast

7.2.3. Revenue Share

7.2.4. Revenue Growth Opportunity

7.3. Statistical Analysis

7.3.1. Market Trends

7.3.2. Market Forecast

7.3.3. Revenue Share

7.3.4. Revenue Growth Opportunity

7.4. Digital Annealer

7.4.1. Market Trends

7.4.2. Market Forecast

7.4.3. Revenue Share

7.4.4. Revenue Growth Opportunity

7.5. Others

7.5.1. Market Trends

7.5.2. Market Forecast

7.5.3. Revenue Share

7.5.4. Revenue Growth Opportunity

 

8. Market Breakup By End-use  

8.1. Material Science

8.1.1. Market Trends

8.1.2. Market Forecast

8.1.3. Revenue Share

8.1.4. Revenue Growth Opportunity

8.2. Chemical and Pharmaceutical

8.2.1. Market Trends

8.2.2. Market Forecast

8.2.3. Revenue Share

8.2.4. Revenue Growth Opportunity

8.3. Electronics and Semiconductors

8.3.1. Market Trends

8.3.2. Market Forecast

8.3.3. Revenue Share

8.3.4. Revenue Growth Opportunity

8.4. Automotive

8.4.1. Market Trends

8.4.2. Market Forecast

8.4.3. Revenue Share

8.4.4. Revenue Growth Opportunity

8.5. Aerospace and Defense

8.5.1. Market Trends

8.5.2. Market Forecast

8.5.3. Revenue Share

8.5.4. Revenue Growth Opportunity

8.6. Others

8.6.1. Market Trends

8.6.2. Market Forecast

8.6.3. Revenue Share

8.6.4. Revenue Growth Opportunity

9. Market Dynamics  

9.1. Introduction

9.2. Market Drivers

9.3. Market Restraints

9.4. Market Opportunities

9.5. Market Challenges

 

10. Regulatory Framework  

10.1. Overview

10.2. International Standards

10.3. Regional Regulations

10.4. Impact on Market

 

11. Supply Chain Analysis  

11.1. Overview

11.2. Raw Material Suppliers

11.3. Technology Providers

11.4. Software Developers

11.5. End Users

 

12. Market Breakup by Region  

12.1. North America

12.1.1. United States

12.1.1.1. Market Trends

12.1.1.2. Market Forecast

12.1.2. Canada

12.1.2.1. Market Trends

12.1.2.2. Market Forecast

12.2. Europe

12.2.1. Germany

12.2.2. United Kingdom

12.2.3. France

12.2.4. Italy

12.2.5. Others

12.3. Asia-Pacific

12.3.1. China

12.3.2. Japan

12.3.3. India

12.3.4. South Korea

12.3.5. Others

12.4. Latin America

12.4.1. Brazil

12.4.2. Mexico

12.4.3. Others

12.5. Middle East and Africa

12.5.1. Market Trends

12.5.2. Market Forecast

 

13. SWOT Analysis  

13.1. Overview

13.2. Strengths

13.3. Weaknesses

13.4. Opportunities

13.5. Threats

 

14. Value Chain Analysis  

 

15. Porter’s Five Forces Analysis  

15.1. Overview

15.2. Bargaining Power of Buyers

15.3. Bargaining Power of Suppliers

15.4. Degree of Competition

15.5. Threat of New Entrants

15.6. Threat of Substitutes

 

16. Price Analysis  

 

17. Competitive Landscape  

17.1. Market Structure

17.2. Key Players

17.3. Profiles of Key Players

17.3.1. ABB

17.3.1.1. Company Overview

17.3.1.2. Product Portfolio

17.3.1.3. Financials

17.3.1.4. SWOT Analysis

17.3.2. Citrine Informatics

17.3.2.1. Company Overview

17.3.2.2. Product Portfolio

17.3.2.3. Financials

17.3.2.4. SWOT Analysis

17.3.3. Dassault Systèmes

17.3.3.1. Company Overview

17.3.3.2. Product Portfolio

17.3.3.3. Financials

17.3.3.4. SWOT Analysis

17.3.4. Elsevier

17.3.4.1. Company Overview

17.3.4.2. Product Portfolio

17.3.4.3. Financials

17.3.4.4. SWOT Analysis

17.3.5. Hitachi High-Tech Corporation

17.3.5.1. Company Overview

17.3.5.2. Product Portfolio

17.3.5.3. Financials

17.3.5.4. SWOT Analysis

17.3.6. International Business Machines Corporation

17.3.6.1. Company Overview

17.3.6.2. Product Portfolio

17.3.6.3. Financials

17.3.6.4. SWOT Analysis

17.3.7. Lattice Technology, Inc.

17.3.7.1. Company Overview

17.3.7.2. Product Portfolio

17.3.7.3. Financials

17.3.7.4. SWOT Analysis

17.3.8. Microsoft

17.3.8.1. Company Overview

17.3.8.2. Product Portfolio

17.3.8.3. Financials

17.3.8.4. SWOT Analysis

17.3.9. Phaseshift Technologies Inc.

17.3.9.1. Company Overview

17.3.9.2. Product Portfolio

17.3.9.3. Financials

17.3.9.4. SWOT Analysis

17.3.10. Schrodinger, Inc.

17.3.10.1. Company Overview

17.3.10.2. Product Portfolio

17.3.10.3. Financials

17.3.10.4. SWOT Analysis

 

18. Research Methodology

 

Frequently Asked Questions

What was the market size of the Global Material Informatics Market in 2023, and what is its forecast for 2032?

The Global Material Informatics Market was valued at USD 77.97 million in 2024 and is projected to reach USD 346.5 million by 2032, growing at a CAGR of 20.5% from 2025 to 2032.

Which industries are driving the growth of the Material Informatics Market?

Electronics, aerospace, automotive, and healthcare industries are driving demand by leveraging AI-powered tools for faster and cost-effective material discovery.

Which region currently leads the Global Material Informatics Market?

North America leads the market due to its strong research infrastructure, presence of key technology players, and significant investment in digital R\&D.

Who are some of the key players in the Global Material Informatics Market?

Prominent players include Citrine Informatics, Materials Zone, Kebotix, Exabyte.io, and Mat3ra, each contributing innovative solutions to accelerate material research.

About Author

Sushant Phapale

Sushant Phapale

ICT & Automation Expert

Sushant is an expert in ICT, automation, and electronics with a passion for innovation and market trends.

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Gunakesh Parmar

Reviewed By
Gunakesh Parmar

Research Consultant

With over 15 years of dedicated experience in market research since 2009, specializes in delivering actionable insights from data.

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I am very impressed with the information in this report. The author clearly did their research when they came up with this product and it has already given me a lot of ideas.

Jana Schmidt
CEDAR CX Technologies

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