[시장보고서]세계의 재료 정보학 시장 : 재료별, 기법별, 용도별, 지역별

세계의 재료 정보학 시장 : 재료별, 기법별, 용도별, 지역별 - 예측(-2030년)

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

상품코드 : 1671381 해당 상품은 즉시 배송 가능합니다

리서치사 : MarketsandMarkets

발행일 : 2025년 03월

페이지 정보 : 영문 227 Pages

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한글목차

세계의 재료 정보학 시장 규모는 2025년 1억 7,040만 달러에서 2030년까지 4억 1,040만 달러에 달하고, 예측 기간 동안 19.2%의 연평균 복합 성장률(CAGR)로 성장할 전망입니다.

지속 가능한 재료에 대한 수요가 증가하면서 재료 정보학 시장의 성장에 크게 기여하고 있습니다. 지속가능성이 업계에서 중요하게 여겨지는 가운데, 제조업체들은 환경 발자국이 적은 재료를 조사하고 발견하기 위해 재료 정보학를 활용하고 있습니다. 그러나 데이터의 양과 질이 충분하지 않다는 점은 재료 정보학의 성장에 걸림돌로 작용하고 있습니다.

조사 범위
조사 대상 연도	2020-2030년
기준 연도	2024년
예측 기간	2025-2030년
단위	10억 달러
부문	재료 유형, 최종 사용자, 지역
대상 지역	북미, 유럽, 아시아태평양, 기타 지역

"원소 부문은 예측 기간 동안 시장에서 가장 높은 CAGR을 나타낼 것으로 예상됩니다."

원소 부문은 여러 가지 주요 요인으로 인해 재료 정보학 시장에서 가장 높은 CAGR을 나타낼 것으로 예상됩니다. 항공우주, 자동차, 에너지, 전자 산업에서 첨단 소재의 사용이 증가함에 따라 우수한 성능, 긴 수명, 지속가능성을 갖춘 새로운 금속 및 합금이 등장하고 있습니다. 특히 초합금은 제트 엔진 및 발전 장치와 같은 열악한 환경에 필수적이며, 재료 정보학의 추진이 필요합니다. 또한, 전기자동차, 태양광 및 풍력에너지용 고체전지 등 미래 에너지 저장 기술에서 고체 전해질의 사용이 증가함에 따라 연구 개발 프로세스에 박차를 가하고 있습니다. 재료 정보학의 머신러닝 알고리즘은 설계 및 실험에 필요한 막대한 시간을 절약함으로써 이러한 재료의 발견과 최적화에 있어 게임 체인저가 되고 있습니다.

"재료 과학 부문은 예측 기간 동안 시장에서 가장 높은 CAGR을 보일 가능성이 높습니다."

재료 과학은 재료 발견 및 혁신 가속화에 대한 수요 증가로 인해 재료 정보학 시장에서 가장 높은 CAGR을 보일 것으로 예상되며, AI와 머신러닝을 통해 연구자들은 방대한 양의 데이터를 평가하고, 재료 특성을 예측하고, 배합을 조정하여 실험과 시뮬레이션을 보다 신속하게 수행할 수 있습니다. 실험과 시뮬레이션을 더 빠르게 할 수 있습니다. 고성능 합금, 나노 소재, 지속 가능한 대체 소재 등 차세대 소재에 대한 정부 및 민간 부문의 투자는 재료 정보학의 활용을 더욱 촉진할 것입니다. 또한, 자동화된 실험실과 고처리량 스크리닝 방법의 개발은 실험 데이터를 효율적으로 처리하고 해석하기 위해 재료정보학에 대한 의존도를 가속화하고 있습니다. 산업계와 학계의 부문 간 협력도 중요한 요소 중 하나이며, 산업계는 틈새 응용을 위한 새로운 재료를 찾고 있습니다.

"아시아태평양은 예측 기간 동안 재료 정보학 시장에서 두 번째로 큰 시장 점유율을 차지할 것으로 예상됩니다."

이 지역에는 중국, 일본, 한국, 인도와 같은 경제권이 포함되어 있으며, 각국은 재료과학, 반도체, 첨단소재 분야에서 탄탄한 제조 및 연구 역량을 보유하고 있습니다. 이들 국가의 정부는 AI, 머신러닝, 빅데이터 분석에 적극적으로 투자하고 있으며, 재료 정보학 없이는 재료 정보학가 성립되지 않습니다. 또한, 이 지역에는 최고 수준의 전자, 자동차, 제약 산업이 집중되어 있어 첨단 소재에 대한 수요가 증가하고 있으며, 보다 신속하고 효과적인 소재의 발견과 개발이 요구되고 있습니다. 또한, 이 지역의 활발한 학계 및 산업계 협력도 재료 정보학의 혁신을 가속화하고 있습니다.

세계의 재료 정보학(Materials Informatics) 시장에 대해 조사 분석했으며, 주요 촉진요인과 저해요인, 경쟁 구도, 향후 동향 등의 정보를 전해드립니다.

서론
시장 역학
- 성장 촉진요인
- 성장 억제요인
- 기회
- 과제
밸류체인 분석
생태계 분석
가격 분석
고객의 비즈니스에 영향을 미치는 동향/혼란
기술 분석
- 주요 기술
- 보완 기술
- 인접 기술
Porter의 Five Forces 분석
주요 이해관계자와 구입 기준
사례 연구 분석
투자와 자금조달 시나리오
특허 분석
주요 컨퍼런스 및 이벤트(2025년)
규제 상황
- 규제기관, 정부기관, 기타 조직
- 표준
재료 정보학 시장에 대한 AI/생성형 AI의 영향
- 서론
- 이용 사례

제6장 재료 정보학 : 주요 기법과 툴

서론
통계 분석
유전적 알고리즘
기타

제7장 재료 정보학 용도

서론
재료 발견 및 설계
재료 특성
재료 수명주기 관리

제8장 재료 정보학 시장 : 재료 유형별

서론
원소
화학제품
기타 재료

제9장 재료 정보학 시장 : 산업별

서론
화학제품 및 의약품
재료과학
제조
식품과학
에너지
기타 산업

제10장 재료 정보학 시장 : 지역별

서론
북미
- 북미의 거시경제 전망
- 미국
- 캐나다
- 멕시코
유럽
- 유럽의 거시경제 전망
- 영국
- 독일
- 프랑스
- 이탈리아
- 기타 유럽
아시아태평양
- 아시아태평양의 거시경제 전망
- 중국
- 일본
- 한국
- 기타 아시아태평양
기타 지역
- 기타 지역의 거시경제 전망
- 중동 및 아프리카
- 남미

제11장 경쟁 구도

개요
주요 시장 진출기업의 전략/강점(2021년-2024년)
매출 분석(2019년-2023년)
시장 점유율 분석(2024년)
기업 평가와 재무 지표(2024년)
제품 비교
기업 평가 매트릭스 : 주요 기업(2024년)
기업 평가 매트릭스 : 스타트업/중소기업(2024년)
경쟁 시나리오

제12장 기업 개요

주요 기업
- SCHRODINGER, INC.
- DASSAULT SYSTEMES
- EXABYTE INC.
- CITRINE INFORMATICS
- PHASESHIFT TECHNOLOGIES
- AI MATERIA
- HITACHI HIGH-TECH CORPORATION
- KEBOTIX, INC.
- MATERIALSZONE
- MATERIALS DESIGN, INC.
기타 기업
- ALBERTINVENT
- EXOMATTER GMBH
- EXPONENTIAL TECHNOLOGIES LTD.
- INNOPHORE
- INTELLEGENS LIMITED
- KITWARE, INC
- NOBLEAI
- MATERIALSIN
- REVVITY
- POLYMERIZE
- PREFERRED COMPUTATIONAL CHEMISTRY
- QUESTEK INNOVATIONS LLC
- SIMREKA
- TILDE MATERIALS INFORMATICS
- UNCOUNTABLE

제13장 부록

LSH

영문 목차

영문목차

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.

Scope of the Report
Years Considered for the Study	2020-2030
Base Year	2024
Forecast Period	2025-2030
Units Considered	Value (USD Billion)
Segments	By Material Type, End User, and Region
Regions covered	North America, Europe, APAC, RoW

"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%

The material informatics market is dominated by a few globally established players such as players Schrodinger, Inc. (US), Dassault Systemes (France), Exabyte Inc. (US), Citrine Informatics (India), Phaseshift Technologies (Canada), and AI Materia (Canada). The study includes an in-depth competitive analysis of these key players in the pharmaceutical manufacturing equipment market, with their company profiles, recent developments, and key market strategies.

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 Schrodinger, Inc. (US), Dassault Systemes (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 SCHRODINGER, 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 SYSTEMES
  - 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 219 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