Material Informatics Market by Material (Chemicals, Superalloys, Solid-state Electrolytes, Composites), Technique (Statistical Analysis, Genetic Algorithm), Application (Materials Discovery, Product Development) and Region - Global Forecast to 2030

The global material informatics market is expected to grow from USD 170.4 million in 2025 to USD 410.4 million in 2030 at a CAGR of 19.2% over the forecast period. Growing need for sustainable materials is strongly contributing to the market growth of materials informatics. As sustainability is gaining importance among industries, producers are using materials informatics to investigate and discover materials with a lower environmental footprint. However insufficient data volume and data quality poses a challenge in material informatics growth.
“Elements segment is expected to witness highest CAGR during the forecasted period in material informatics market.”
The elements segment is expected to have the highest CAGR in the material informatics market due to a few critical factors. Growth in the usage of high-tech materials in the aerospace, automobile, energy, and electronics industries is pushing for new metals and alloys that promise better performance, longevity, and sustainability. Superalloys specifically are critical to harsh environments like jet engines and power generation units, requiring an accelerated push in material informatics. Moreover, the increasing use of solid-state electrolytes in future energy storage technologies, such as solid-state batteries for electric vehicles and solar and wind energy, is fueling research and development processes. Machine learning algorithms within material informatics are changing the game in the discovery and optimization of such materials by saving enormous amounts of time needed in design and experimentation.
'Material science segment is likely to witness highest CAGR in material informatics market during forecasted period.”
Material science is expected to exhibit the highest CAGR in the materials informatics market due to the increasing demand for accelerated material discovery and innovation. With artificial intelligence and machine learning, researchers can evaluate enormous amounts of data, make predictions about material properties, and tailor formulations to make experimentation and simulation much faster. Investments by the government and private sector in next-generation materials, including high-performance alloys, nanomaterials, and sustainable substitutes, further fuel the use of materials informatics. The development of automated laboratories and high-throughput screening methods has also accelerated dependence on materials informatics to effectively process and interpret experimental data. Intersectoral collaboration between industry and academia is another critical factor, with industries looking for novel materials for niche applications.
“Asia Pacific is expected to hold the second largest market share of the material informatics market during forecasted period”.
The region includes economies like China, Japan, South Korea, and India, each of which boasts robust manufacturing and research strengths in materials science, semiconductors, and advanced materials. The governments of all these nations proactively invest in artificial intelligence, machine learning, and big data analytics, without which material informatics cannot exist. Moreover, the concentration of top electronics, automotive, and pharmaceutical industries in the region fuels the need for advanced materials, which requires quicker and more effective material discovery and development. The intense academic and industrial cooperation in the region also speeds up innovations in material informatics.
Breakdown of primaries
The study contains insights from various industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
Research Coverage:
The report segments the material informatics market and forecasts its size by material type, end user, and region. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions—North America, Europe, Asia Pacific, and RoW. Supply chain analysis has been included in the report, along with the key players and their competitive analysis in the material informatics ecosystem.
Key Benefits to Buy the Report:
“Elements segment is expected to witness highest CAGR during the forecasted period in material informatics market.”
The elements segment is expected to have the highest CAGR in the material informatics market due to a few critical factors. Growth in the usage of high-tech materials in the aerospace, automobile, energy, and electronics industries is pushing for new metals and alloys that promise better performance, longevity, and sustainability. Superalloys specifically are critical to harsh environments like jet engines and power generation units, requiring an accelerated push in material informatics. Moreover, the increasing use of solid-state electrolytes in future energy storage technologies, such as solid-state batteries for electric vehicles and solar and wind energy, is fueling research and development processes. Machine learning algorithms within material informatics are changing the game in the discovery and optimization of such materials by saving enormous amounts of time needed in design and experimentation.
'Material science segment is likely to witness highest CAGR in material informatics market during forecasted period.”
Material science is expected to exhibit the highest CAGR in the materials informatics market due to the increasing demand for accelerated material discovery and innovation. With artificial intelligence and machine learning, researchers can evaluate enormous amounts of data, make predictions about material properties, and tailor formulations to make experimentation and simulation much faster. Investments by the government and private sector in next-generation materials, including high-performance alloys, nanomaterials, and sustainable substitutes, further fuel the use of materials informatics. The development of automated laboratories and high-throughput screening methods has also accelerated dependence on materials informatics to effectively process and interpret experimental data. Intersectoral collaboration between industry and academia is another critical factor, with industries looking for novel materials for niche applications.
“Asia Pacific is expected to hold the second largest market share of the material informatics market during forecasted period”.
The region includes economies like China, Japan, South Korea, and India, each of which boasts robust manufacturing and research strengths in materials science, semiconductors, and advanced materials. The governments of all these nations proactively invest in artificial intelligence, machine learning, and big data analytics, without which material informatics cannot exist. Moreover, the concentration of top electronics, automotive, and pharmaceutical industries in the region fuels the need for advanced materials, which requires quicker and more effective material discovery and development. The intense academic and industrial cooperation in the region also speeds up innovations in material informatics.
Breakdown of primaries
The study contains insights from various industry experts, ranging from component suppliers to Tier 1 companies and OEMs. The break-up of the primaries is as follows:
- By Company Type - Tier 1 – 40%, Tier 2 – 35%, Tier 3 – 25%
- By Designation— C-level Executives - 48%, Directors - 33%, Others - 19%
- By Region—North America - 35%, Europe - 18%, Asia Pacific - 40%, RoW - 7%
Research Coverage:
The report segments the material informatics market and forecasts its size by material type, end user, and region. The report also discusses the drivers, restraints, opportunities, and challenges pertaining to the market. It gives a detailed view of the market across four main regions—North America, Europe, Asia Pacific, and RoW. Supply chain analysis has been included in the report, along with the key players and their competitive analysis in the material informatics ecosystem.
Key Benefits to Buy the Report:
- Analysis of key drivers (Increasing reliance on AI technology to speed up material discovery and deployment, rising government initiatives to provide low-cost clean energy materials, Growing focus on mitigating climate change and environmental pollution). Restraint (Shortage of technical experts, High costs of maintenance and services), Opportunity (Emerging applications of large language models (LLMs) in material development, Ease of building material databases using digital technologies), Challenges (Insufficient data volume and quality).
- Product Development/Innovation: Detailed insights on upcoming technologies, research and development activities, and new product launches in the material informatics market.
- Market Development: Comprehensive information about lucrative markets – the report analyses the material informatics market across varied regions
- Market Diversification: Exhaustive information about new products and services, untapped geographies, recent developments, and investments in the material informatics market.
- Competitive Assessment: In-depth assessment of market shares, growth strategies, and service offerings of leading players Schrцdinger, Inc. (US), Dassault Syst?mes (France), Exabyte Inc. (US), Citrine Informatics (US), Phaseshift Technologies (Canada), and AI Materia (Canada) among others in the material informatics market.
1 INTRODUCTION
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 List of primary interview participants
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MATERIAL INFORMATICS MARKET
4.2 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE
4.3 MATERIAL INFORMATICS MARKET, BY INDUSTRY
4.4 MATERIAL INFORMATICS MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing reliance on AI technology to speed up material discovery and development
5.2.1.2 Rising government initiatives to provide low-cost clean
energy materials
5.2.1.3 Growing focus on mitigating climate change and
environmental pollution
5.2.2 RESTRAINTS
5.2.2.1 Shortage of technical experts
5.2.2.2 High costs of maintenance and services
5.2.3 OPPORTUNITIES
5.2.3.1 Emerging applications of large language models (LLMs) in
material development
5.2.3.2 Ease of building material databases using digital technologies
5.2.4 CHALLENGES
5.2.4.1 Insufficient data volume and quality
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 PRICING ANALYSIS
5.5.1 AVERAGE SUBSCRIPTION PRICE OF MATERIAL INFORMATICS PLATFORMS OFFERED BY MAT3RA BASED ON ACCOUNT MEMBERS, 2024
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Artificial intelligence (AI) and machine learning (ML)
5.7.1.2 High-performance computing (HPC)
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Internet of Things (IoT)
5.7.2.2 Cloud computing and storage
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Polymer informatics
5.7.3.2 Chemical informatics
5.7.3.3 Bioinformatics
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 CITRINE INFORMATICS PROVIDES AI-DRIVEN CITRINE PLATFORM TO KCARBON TO PROCESS CARBON FIBERS
5.10.2 ALKIMAT ADOPTS EXPONENTIAL TECHNOLOGIES’ XT SAAM SOLUTION TO OPTIMIZE PRODUCTION WORKFLOW AND REDUCE LEAD TIMES AND DEVELOPMENT COSTS
5.10.3 MATERIALSZONE OFFERS MIP TOOL FOR INDUSTRIES AND COMPANIES TO OVERCOME CHALLENGES WHILE PRODUCING INNOVATIVE PLASTICS
5.10.4 BIOVIA’S MATERIAL INFORMATICS PLATFORM HELPS BOEING VIRTUALLY ANALYZE DURABILITY, ADHESION, AND CORROSION RESISTANCE OF COATING FORMULATIONS
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 PATENT ANALYSIS
5.13 KEY CONFERENCES AND EVENTS, 2025
5.14 REGULATORY LANDSCAPE
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
5.14.2 STANDARDS
5.15 IMPACT OF AI/GEN AI ON MATERIAL INFORMATICS MARKET
5.15.1 INTRODUCTION
5.15.2 USE CASES
6 MATERIAL INFORMATICS: PROMINENT TECHNIQUES AND TOOLS
6.1 INTRODUCTION
6.2 STATISTICAL ANALYSIS
6.3 GENETIC ALGORITHMS
6.4 OTHERS
7 APPLICATIONS OF MATERIAL INFORMATICS
7.1 INTRODUCTION
7.2 MATERIAL DISCOVERY & DESIGN
7.3 MATERIAL CHARACTERIZATION
7.4 MATERIAL LIFECYCLE MANAGEMENT
8 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE
8.1 INTRODUCTION
8.2 ELEMENTS
8.2.1 RAPID DEVELOPMENT, DISCOVERY, AND ANALYSIS BENEFITS
TO SPUR DEMAND
8.3 CHEMICALS
8.3.1 ABILITY TO OPTIMIZE CATALYSTS AND ENHANCE PROCESS EFFICIENCY TO FOSTER SEGMENTAL GROWTH
8.4 OTHER MATERIALS
9 MATERIAL INFORMATICS MARKET, BY INDUSTRY
9.1 INTRODUCTION
9.2 CHEMICALS & PHARMACEUTICALS
9.2.1 GROWING FOCUS ON ACCELERATING THERAPEUTIC DRUG AND
VACCINE DISCOVERY TO BOOST SEGMENTAL GROWTH
9.3 MATERIALS SCIENCE
9.3.1 INCREASING PURSUIT OF MATERIALS WITH DESIRABLE PROPERTIES TO AUGMENT SEGMENTAL GROWTH
9.4 MANUFACTURING
9.4.1 RISING INNOVATION IN HYBRID MATERIALS, COMPOSITES, AND ALLOYS TO FUEL SEGMENTAL GROWTH
9.5 FOOD SCIENCE
9.5.1 INCREASING NEED FOR EFFICIENT ANALYSIS OF FOOD CONSTITUENTS THROUGH STATISTICAL QUALITY CONTROL TO BOOST SEGMENTAL GROWTH
9.6 ENERGY
9.6.1 RISING EMPHASIS ON SUSTAINABLE ENERGY PRODUCTION AND STORAGE TO BOLSTER SEGMENTAL GROWTH
9.7 OTHER INDUSTRIES
10 MATERIAL INFORMATICS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
10.2.2 US
10.2.2.1 Strong focus on developing lightweight materials in automotive and aerospace sectors to boost market growth
10.2.3 CANADA
10.2.3.1 Government regulations to reduce plastic wastes to create opportunities for market players
10.2.4 MEXICO
10.2.4.1 Rise in semiconductor and electronics manufacturing to augment market growth
10.3 EUROPE
10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
10.3.2 UK
10.3.2.1 Rising deployment of connected and autonomous vehicles to support market growth
10.3.3 GERMANY
10.3.3.1 Increasing investment in smart manufacturing technologies to bolster market growth
10.3.4 FRANCE
10.3.4.1 Booming additive manufacturing sector to fuel market growth
10.3.5 ITALY
10.3.5.1 Increasing adoption of advanced data analytics and AI technologies in materials science to drive market
10.3.6 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
10.4.2 CHINA
10.4.2.1 Rising export of manufactured goods to stimulate market growth
10.4.3 JAPAN
10.4.3.1 Growing vehicle production to contribute to market growth
10.4.4 SOUTH KOREA
10.4.4.1 Thriving electronics & semiconductor industry to drive market
10.4.5 REST OF ASIA PACIFIC
10.5 ROW
10.5.1 MACROECONOMIC OUTLOOK FOR ROW
10.5.2 MIDDLE EAST & AFRICA
10.5.2.1 Increasing automobile sales and production volume to stimulate market growth
10.5.2.2 GCC countries
10.5.2.3 Africa & Rest of Middle East
10.5.3 SOUTH AMERICA
10.5.3.1 Brazil
10.5.3.1.1 Rising deployment of AI, ML, and data analytics technologies in materials science to accelerate
market growth
10.5.3.2 Rest of South America
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN, 2021–2024
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2024
11.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
11.6 PRODUCT COMPARISON
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
11.7.5.1 Company footprint
11.7.5.2 Region footprint
11.7.5.3 Material type footprint
11.7.5.4 Industry footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
11.8.5.1 Detailed list of key startups/SMES
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO
11.9.1 PRODUCT LAUNCHES
11.9.2 DEALS
11.9.3 EXPANSIONS
11.9.4 OTHER DEVELOPMENTS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 SCHRЦDINGER, INC.
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Deals
12.1.1.4 MnM view
12.1.1.4.1 Key strengths/Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses/Competitive threats
12.1.2 DASSAULT SYST?MES
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 MnM view
12.1.2.3.1 Key strengths/Right to win
12.1.2.3.2 Strategic choices
12.1.2.3.3 Weaknesses/Competitive threats
12.1.3 EXABYTE INC.
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Developments
12.1.3.4 MnM view
12.1.3.4.1 Key strengths/Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses/Competitive threats
12.1.4 CITRINE INFORMATICS
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Product launches
12.1.4.3.2 Deals
12.1.4.3.3 Other developments
12.1.4.4 MnM view
12.1.4.4.1 Key strengths/Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses/Competitive threats
12.1.5 PHASESHIFT TECHNOLOGIES
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Developments
12.1.5.4 MnM view
12.1.5.4.1 Key strengths/Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses/Competitive threats
12.1.6 AI MATERIA
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.7 HITACHI HIGH-TECH CORPORATION
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.8 KEBOTIX, INC.
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.8.3.2 Expansions
12.1.8.3.3 Other developments
12.1.9 MATERIALSZONE
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Product launches
12.1.9.3.2 Other developments
12.1.10 MATERIALS DESIGN, INC.
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Product launches
12.1.10.3.2 Deals
12.2 OTHER PLAYERS
12.2.1 ALBERTINVENT
12.2.2 EXOMATTER GMBH
12.2.3 EXPONENTIAL TECHNOLOGIES LTD.
12.2.4 INNOPHORE
12.2.5 INTELLEGENS LIMITED
12.2.6 KITWARE, INC
12.2.7 NOBLEAI
12.2.8 MATERIALSIN
12.2.9 REVVITY
12.2.10 POLYMERIZE
12.2.11 PREFERRED COMPUTATIONAL CHEMISTRY
12.2.12 QUESTEK INNOVATIONS LLC
12.2.13 SIMREKA
12.2.14 TILDE MATERIALS INFORMATICS
12.2.15 UNCOUNTABLE
13 APPENDIX
13.1 INSIGHTS FROM INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 CUSTOMIZATION OPTIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS
1.1 STUDY OBJECTIVES
1.2 MARKET DEFINITION
1.3 STUDY SCOPE
1.3.1 MARKETS COVERED AND REGIONAL SCOPE
1.3.2 INCLUSIONS AND EXCLUSIONS
1.3.3 YEARS CONSIDERED
1.4 CURRENCY CONSIDERED
1.5 LIMITATIONS
1.6 STAKEHOLDERS
1.7 SUMMARY OF CHANGES
2 RESEARCH METHODOLOGY
2.1 RESEARCH DATA
2.1.1 SECONDARY DATA
2.1.1.1 List of key secondary sources
2.1.1.2 Key data from secondary sources
2.1.2 PRIMARY DATA
2.1.2.1 Breakdown of primaries
2.1.2.2 List of primary interview participants
2.1.2.3 Key data from primary sources
2.1.2.4 Key industry insights
2.1.3 SECONDARY AND PRIMARY RESEARCH
2.2 MARKET SIZE ESTIMATION
2.2.1 BOTTOM-UP APPROACH
2.2.1.1 Approach to arrive at market size using bottom-up analysis
(demand side)
2.2.2 TOP-DOWN APPROACH
2.2.2.1 Approach to arrive at market size using top-down analysis
(supply side)
2.3 MARKET BREAKDOWN AND DATA TRIANGULATION
2.4 RESEARCH ASSUMPTIONS
2.5 RESEARCH LIMITATIONS
2.6 RISK ANALYSIS
3 EXECUTIVE SUMMARY
4 PREMIUM INSIGHTS
4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MATERIAL INFORMATICS MARKET
4.2 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE
4.3 MATERIAL INFORMATICS MARKET, BY INDUSTRY
4.4 MATERIAL INFORMATICS MARKET, BY COUNTRY
5 MARKET OVERVIEW
5.1 INTRODUCTION
5.2 MARKET DYNAMICS
5.2.1 DRIVERS
5.2.1.1 Increasing reliance on AI technology to speed up material discovery and development
5.2.1.2 Rising government initiatives to provide low-cost clean
energy materials
5.2.1.3 Growing focus on mitigating climate change and
environmental pollution
5.2.2 RESTRAINTS
5.2.2.1 Shortage of technical experts
5.2.2.2 High costs of maintenance and services
5.2.3 OPPORTUNITIES
5.2.3.1 Emerging applications of large language models (LLMs) in
material development
5.2.3.2 Ease of building material databases using digital technologies
5.2.4 CHALLENGES
5.2.4.1 Insufficient data volume and quality
5.3 VALUE CHAIN ANALYSIS
5.4 ECOSYSTEM ANALYSIS
5.5 PRICING ANALYSIS
5.5.1 AVERAGE SUBSCRIPTION PRICE OF MATERIAL INFORMATICS PLATFORMS OFFERED BY MAT3RA BASED ON ACCOUNT MEMBERS, 2024
5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
5.7 TECHNOLOGY ANALYSIS
5.7.1 KEY TECHNOLOGIES
5.7.1.1 Artificial intelligence (AI) and machine learning (ML)
5.7.1.2 High-performance computing (HPC)
5.7.2 COMPLEMENTARY TECHNOLOGIES
5.7.2.1 Internet of Things (IoT)
5.7.2.2 Cloud computing and storage
5.7.3 ADJACENT TECHNOLOGIES
5.7.3.1 Polymer informatics
5.7.3.2 Chemical informatics
5.7.3.3 Bioinformatics
5.8 PORTER’S FIVE FORCES ANALYSIS
5.8.1 INTENSITY OF COMPETITIVE RIVALRY
5.8.2 BARGAINING POWER OF SUPPLIERS
5.8.3 BARGAINING POWER OF BUYERS
5.8.4 THREAT OF SUBSTITUTES
5.8.5 THREAT OF NEW ENTRANTS
5.9 KEY STAKEHOLDERS AND BUYING CRITERIA
5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
5.9.2 BUYING CRITERIA
5.10 CASE STUDY ANALYSIS
5.10.1 CITRINE INFORMATICS PROVIDES AI-DRIVEN CITRINE PLATFORM TO KCARBON TO PROCESS CARBON FIBERS
5.10.2 ALKIMAT ADOPTS EXPONENTIAL TECHNOLOGIES’ XT SAAM SOLUTION TO OPTIMIZE PRODUCTION WORKFLOW AND REDUCE LEAD TIMES AND DEVELOPMENT COSTS
5.10.3 MATERIALSZONE OFFERS MIP TOOL FOR INDUSTRIES AND COMPANIES TO OVERCOME CHALLENGES WHILE PRODUCING INNOVATIVE PLASTICS
5.10.4 BIOVIA’S MATERIAL INFORMATICS PLATFORM HELPS BOEING VIRTUALLY ANALYZE DURABILITY, ADHESION, AND CORROSION RESISTANCE OF COATING FORMULATIONS
5.11 INVESTMENT AND FUNDING SCENARIO
5.12 PATENT ANALYSIS
5.13 KEY CONFERENCES AND EVENTS, 2025
5.14 REGULATORY LANDSCAPE
5.14.1 REGULATORY BODIES, GOVERNMENT AGENCIES,
AND OTHER ORGANIZATIONS
5.14.2 STANDARDS
5.15 IMPACT OF AI/GEN AI ON MATERIAL INFORMATICS MARKET
5.15.1 INTRODUCTION
5.15.2 USE CASES
6 MATERIAL INFORMATICS: PROMINENT TECHNIQUES AND TOOLS
6.1 INTRODUCTION
6.2 STATISTICAL ANALYSIS
6.3 GENETIC ALGORITHMS
6.4 OTHERS
7 APPLICATIONS OF MATERIAL INFORMATICS
7.1 INTRODUCTION
7.2 MATERIAL DISCOVERY & DESIGN
7.3 MATERIAL CHARACTERIZATION
7.4 MATERIAL LIFECYCLE MANAGEMENT
8 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE
8.1 INTRODUCTION
8.2 ELEMENTS
8.2.1 RAPID DEVELOPMENT, DISCOVERY, AND ANALYSIS BENEFITS
TO SPUR DEMAND
8.3 CHEMICALS
8.3.1 ABILITY TO OPTIMIZE CATALYSTS AND ENHANCE PROCESS EFFICIENCY TO FOSTER SEGMENTAL GROWTH
8.4 OTHER MATERIALS
9 MATERIAL INFORMATICS MARKET, BY INDUSTRY
9.1 INTRODUCTION
9.2 CHEMICALS & PHARMACEUTICALS
9.2.1 GROWING FOCUS ON ACCELERATING THERAPEUTIC DRUG AND
VACCINE DISCOVERY TO BOOST SEGMENTAL GROWTH
9.3 MATERIALS SCIENCE
9.3.1 INCREASING PURSUIT OF MATERIALS WITH DESIRABLE PROPERTIES TO AUGMENT SEGMENTAL GROWTH
9.4 MANUFACTURING
9.4.1 RISING INNOVATION IN HYBRID MATERIALS, COMPOSITES, AND ALLOYS TO FUEL SEGMENTAL GROWTH
9.5 FOOD SCIENCE
9.5.1 INCREASING NEED FOR EFFICIENT ANALYSIS OF FOOD CONSTITUENTS THROUGH STATISTICAL QUALITY CONTROL TO BOOST SEGMENTAL GROWTH
9.6 ENERGY
9.6.1 RISING EMPHASIS ON SUSTAINABLE ENERGY PRODUCTION AND STORAGE TO BOLSTER SEGMENTAL GROWTH
9.7 OTHER INDUSTRIES
10 MATERIAL INFORMATICS MARKET, BY REGION
10.1 INTRODUCTION
10.2 NORTH AMERICA
10.2.1 MACROECONOMIC OUTLOOK FOR NORTH AMERICA
10.2.2 US
10.2.2.1 Strong focus on developing lightweight materials in automotive and aerospace sectors to boost market growth
10.2.3 CANADA
10.2.3.1 Government regulations to reduce plastic wastes to create opportunities for market players
10.2.4 MEXICO
10.2.4.1 Rise in semiconductor and electronics manufacturing to augment market growth
10.3 EUROPE
10.3.1 MACROECONOMIC OUTLOOK FOR EUROPE
10.3.2 UK
10.3.2.1 Rising deployment of connected and autonomous vehicles to support market growth
10.3.3 GERMANY
10.3.3.1 Increasing investment in smart manufacturing technologies to bolster market growth
10.3.4 FRANCE
10.3.4.1 Booming additive manufacturing sector to fuel market growth
10.3.5 ITALY
10.3.5.1 Increasing adoption of advanced data analytics and AI technologies in materials science to drive market
10.3.6 REST OF EUROPE
10.4 ASIA PACIFIC
10.4.1 MACROECONOMIC OUTLOOK FOR ASIA PACIFIC
10.4.2 CHINA
10.4.2.1 Rising export of manufactured goods to stimulate market growth
10.4.3 JAPAN
10.4.3.1 Growing vehicle production to contribute to market growth
10.4.4 SOUTH KOREA
10.4.4.1 Thriving electronics & semiconductor industry to drive market
10.4.5 REST OF ASIA PACIFIC
10.5 ROW
10.5.1 MACROECONOMIC OUTLOOK FOR ROW
10.5.2 MIDDLE EAST & AFRICA
10.5.2.1 Increasing automobile sales and production volume to stimulate market growth
10.5.2.2 GCC countries
10.5.2.3 Africa & Rest of Middle East
10.5.3 SOUTH AMERICA
10.5.3.1 Brazil
10.5.3.1.1 Rising deployment of AI, ML, and data analytics technologies in materials science to accelerate
market growth
10.5.3.2 Rest of South America
11 COMPETITIVE LANDSCAPE
11.1 OVERVIEW
11.2 KEY PLAYERS STRATEGIES/RIGHT TO WIN, 2021–2024
11.3 REVENUE ANALYSIS, 2019–2023
11.4 MARKET SHARE ANALYSIS, 2024
11.5 COMPANY VALUATION AND FINANCIAL METRICS, 2024
11.6 PRODUCT COMPARISON
11.7 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
11.7.1 STARS
11.7.2 EMERGING LEADERS
11.7.3 PERVASIVE PLAYERS
11.7.4 PARTICIPANTS
11.7.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
11.7.5.1 Company footprint
11.7.5.2 Region footprint
11.7.5.3 Material type footprint
11.7.5.4 Industry footprint
11.8 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
11.8.1 PROGRESSIVE COMPANIES
11.8.2 RESPONSIVE COMPANIES
11.8.3 DYNAMIC COMPANIES
11.8.4 STARTING BLOCKS
11.8.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
11.8.5.1 Detailed list of key startups/SMES
11.8.5.2 Competitive benchmarking of key startups/SMEs
11.9 COMPETITIVE SCENARIO
11.9.1 PRODUCT LAUNCHES
11.9.2 DEALS
11.9.3 EXPANSIONS
11.9.4 OTHER DEVELOPMENTS
12 COMPANY PROFILES
12.1 KEY PLAYERS
12.1.1 SCHRЦDINGER, INC.
12.1.1.1 Business overview
12.1.1.2 Products/Solutions/Services offered
12.1.1.3 Recent developments
12.1.1.3.1 Deals
12.1.1.4 MnM view
12.1.1.4.1 Key strengths/Right to win
12.1.1.4.2 Strategic choices
12.1.1.4.3 Weaknesses/Competitive threats
12.1.2 DASSAULT SYST?MES
12.1.2.1 Business overview
12.1.2.2 Products/Solutions/Services offered
12.1.2.3 MnM view
12.1.2.3.1 Key strengths/Right to win
12.1.2.3.2 Strategic choices
12.1.2.3.3 Weaknesses/Competitive threats
12.1.3 EXABYTE INC.
12.1.3.1 Business overview
12.1.3.2 Products/Solutions/Services offered
12.1.3.3 Recent developments
12.1.3.3.1 Developments
12.1.3.4 MnM view
12.1.3.4.1 Key strengths/Right to win
12.1.3.4.2 Strategic choices
12.1.3.4.3 Weaknesses/Competitive threats
12.1.4 CITRINE INFORMATICS
12.1.4.1 Business overview
12.1.4.2 Products/Solutions/Services offered
12.1.4.3 Recent developments
12.1.4.3.1 Product launches
12.1.4.3.2 Deals
12.1.4.3.3 Other developments
12.1.4.4 MnM view
12.1.4.4.1 Key strengths/Right to win
12.1.4.4.2 Strategic choices
12.1.4.4.3 Weaknesses/Competitive threats
12.1.5 PHASESHIFT TECHNOLOGIES
12.1.5.1 Business overview
12.1.5.2 Products/Solutions/Services offered
12.1.5.3 Recent developments
12.1.5.3.1 Developments
12.1.5.4 MnM view
12.1.5.4.1 Key strengths/Right to win
12.1.5.4.2 Strategic choices
12.1.5.4.3 Weaknesses/Competitive threats
12.1.6 AI MATERIA
12.1.6.1 Business overview
12.1.6.2 Products/Solutions/Services offered
12.1.7 HITACHI HIGH-TECH CORPORATION
12.1.7.1 Business overview
12.1.7.2 Products/Solutions/Services offered
12.1.8 KEBOTIX, INC.
12.1.8.1 Business overview
12.1.8.2 Products/Solutions/Services offered
12.1.8.3 Recent developments
12.1.8.3.1 Deals
12.1.8.3.2 Expansions
12.1.8.3.3 Other developments
12.1.9 MATERIALSZONE
12.1.9.1 Business overview
12.1.9.2 Products/Solutions/Services offered
12.1.9.3 Recent developments
12.1.9.3.1 Product launches
12.1.9.3.2 Other developments
12.1.10 MATERIALS DESIGN, INC.
12.1.10.1 Business overview
12.1.10.2 Products/Solutions/Services offered
12.1.10.3 Recent developments
12.1.10.3.1 Product launches
12.1.10.3.2 Deals
12.2 OTHER PLAYERS
12.2.1 ALBERTINVENT
12.2.2 EXOMATTER GMBH
12.2.3 EXPONENTIAL TECHNOLOGIES LTD.
12.2.4 INNOPHORE
12.2.5 INTELLEGENS LIMITED
12.2.6 KITWARE, INC
12.2.7 NOBLEAI
12.2.8 MATERIALSIN
12.2.9 REVVITY
12.2.10 POLYMERIZE
12.2.11 PREFERRED COMPUTATIONAL CHEMISTRY
12.2.12 QUESTEK INNOVATIONS LLC
12.2.13 SIMREKA
12.2.14 TILDE MATERIALS INFORMATICS
12.2.15 UNCOUNTABLE
13 APPENDIX
13.1 INSIGHTS FROM INDUSTRY EXPERTS
13.2 DISCUSSION GUIDE
13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL
13.4 CUSTOMIZATION OPTIONS
13.5 RELATED REPORTS
13.6 AUTHOR DETAILS