查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
2030 年材料信息学市场预测：按材料类型、技术、用途和地区进行的全球分析
市场调查报告书
商品编码
1339926

2030 年材料信息学市场预测：按材料类型、技术、用途和地区进行的全球分析

Materials Informatics Market Forecasts to 2030 - Global Analysis By Material Type (Chemicals, Elements and Other Material Types), Technique (Digital Annealer, Deep Tensor and Genetic Algorithm), Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3个工作天内

价格

据Stratistics MRC预测，2023年全球材料信息学市场规模将达到1.29亿美元，预计到2030年将达到4.18亿美元，预测期内年复合成长率为18.3%。

通过利用统计分析等信息学技术，材料信息学旨在提高材料创建的有效性。 “材料信息学”将机器学习与凝聚态理论、实验、模拟、数据库、云计算和安全等各个领域的技术相结合。由于这两个领域技术的进步，材料信息学（也称为资讯科学和材料科学的融合）越来越多地被使用。通过创建可以高速处理大量资料的环境，正在促进材料信息学的使用。

增加机器学习和资料挖掘的使用

资料挖掘正在彻底改变材料科学领域，开闢令人兴奋的新视角。此外，各种型态材料资料的新资料挖掘思想的持续改进和材料特性数据库的激增预计将继续影响材料设计。此外，材料信息学行业中资料挖掘和机器学习技术的日益使用可能会推动市场扩张达到新的成功高度。

高分子材料使用的障碍

与金属、陶瓷和生物材料等其他材料相比，高分子材料具有材料信息学领域独有的特性，这使得构建一致的数据库变得困难。由于聚合物型态多种多样，这些聚合物材料非常复杂并且难以使用计算方法命名。聚合物类别还包括共聚、聚合物共混物、线性和支化聚合物、聚合物共混物等，并用于材料信息学，这增加了製造产品过程的复杂性并阻碍了市场增长。

高熵合金的研製与资料分析

在材料信息学领域，合金材料正在经历巨大的扩张。此外，近年来，材料信息学已成为材料和设计发现的强大工具。它用于资料科学应用，以解决与材料科学和工程相关的挑战。这种最先进的技术方法在许多情况下被利用，以凝聚巨大的实验限制空间来寻找和探索新发现的材料，从而为市场创造了广泛的增长机会。

缺乏既定的指导方针和规则以及最少的技术资源

具有必要技能的专家对于理解材料信息学并将整合到所需的应用中至关重要。这种基本能力包括算术和统计，以理解用于存储和收集资料的数据库，以及处理不同类型和数量的资料的规则。这需要引入和整合更精确的系统。这是潜在最终用户广泛采用这些解决方案的主要障碍。如今，化学和製药、材料科学和製造等许多应用领域仍然大多遵循传统方法，无论其有效性如何。这是因为没有全面的计划阻碍了市场的增长。

COVID-19 的影响：

2020 年初，COVID-19 的传播极大地改变了包括材料科学和研究在内的多个行业的功能和未来性。由于 COVID-19 病毒成为研究对象，其他行业也受到了影响。此外，国家封锁和製造业停工对许多行业的研究产生了负面影响，再次减缓了材料资讯行业的扩张。

无机材料领域预计将在预测期内成为最大的领域

无机材料领域预计将出现良好增长，主要是因为包括电子、化工、食品、造纸等行业在内的许多重要业务高度依赖无机材料。另一方面，由于客户对环保和工业上更兼容的有机和混合产品的偏好不断增加，混合材料在预期期间出现了巨大的增长。

材料科学领域预计在预测期内年复合成长率最高

材料科学领域预计在预测期内年复合成长率最高。新材料的发现和开发，材料信息学方法可以应用于材料科学应用。材料科学使用各种材料和纳米技术。这使得材料科学中的计算挑战变得更加困难。此外，在开发具有特定所需功能的新材料方面，该主题正在取得进展。该领域使用各种材料、建模方法、模拟工具以及基于物理和机器学习的模型来简化材料创建、管理和最佳化的过程。

占比最大的地区：

由于材料科学和分析领域的投资增加，电子、化学和许多其他领域的研发活动活性化，预计北美将在预测期内占据最大的市场份额，从而导致 2020 年全球材料增长。占据了Zinformatics 市场的大部分市场收入份额。凭藉其技术领导者的地位，该地区在人工智能 (AI)、机器学习 (ML)、巨量资料和资料分析等最尖端科技的使用方面也处于领先地位。资料科学、机器学习和人工智能的整合创造了市场潜力的新范式。

复合年复合成长率最高的地区：

由于多种要素，亚太地区预计将在预测期内呈现最高的年复合成长率，其中包括该地区强劲的工业和经济扩张，这推动了汽车、电子和建筑等行业对先进材料的需求。将会完成。此外，中国、印度和日本等国家正在大力投资材料科学和技术等研发。材料信息学在亚太地区的扩张还得益于丰富的资料科学和材料科学人才以及政府支持研发的措施。

免费定制服务：

订阅此报告的客户将收到以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合分析（最多 3 家公司）
    • 主要企业SWOT分析（最多3家企业）
  • 区域分割
    • 根据客户兴趣对主要国家的市场估计、预测和年复合成长率（注：基于可行性检查）
  • 竞争标杆管理
    • 根据产品系列、地域分布和战略联盟对主要企业进行基准测试

目录

第1章执行摘要

第2章前言

  • 抽象的
  • 利益相关者
  • 调查范围
  • 调查方法
    • 资料挖掘
    • 资料分析
    • 资料检验
    • 研究途径
  • 调查来源
    • 主要调查来源
    • 二次调查来源
    • 假设

第3章市场趋势分析

  • 促进因素
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 新兴市场
  • 新型冠状病毒感染疾病（COVID-19）的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第5章全球材料信息学市场：按材料类型

  • 化学品
  • 元素
  • 混合材料
    • 共聚物
    • 胶体
  • 无机材料
    • 金属
    • 合金
    • 电池
    • 其他无机材料
  • 有机材料
    • 橡皮
    • 聚合物添加剂
    • 其他有机材料
  • 其他材料类型

第6章全球材料信息学市场：按技术分类

  • 数字退火机
  • 深张量
  • 统计分析
  • 遗传算法

第7章全球材料信息学市场：按用途

  • 化学和製药
  • 染料
  • 活力
  • 食品科学
  • 製造业
  • 材料科学
  • 纸浆
  • 其他用途

第8章全球材料信息学市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第9章进展

  • 合同、伙伴关係、协作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第10章公司简介

  • Alpine Electronics Inc.
  • Phaseshift Technologies
  • Exabyte.io
  • Schrodinger
  • Materials Zone Ltd.
  • Mat3ra
  • BASF
  • Citrine Informatics
  • Nutonian Inc.
  • Dassault Systemes
  • Kebotix
  • AI Materia
  • Lumiant Corporation
  • Sun Innovations
  • Mitsubishi
  • Fujitsu
  • InSilixa
  • MRL Materials Resources LLC
Product Code: SMRC23634

According to Stratistics MRC, the Global Materials Informatics Market is accounted for $129 million in 2023 and is expected to reach $418 million by 2030 growing at a CAGR of 18.3% during the forecast period. By utilizing informatics techniques like statistical analysis, materials informatics aims to increase the effectiveness of material creation. Materials Informatics" combines machine learning with technology from a variety of domains, including theory of properties, experiments, simulations, databases, cloud computing, security, etc. Due to the advancement of technology in both domains, materials informatics also known as the confluence of information science and materials science has seen an increase in its use. The environment has permitted the high-speed handling of enormous volumes of data, which has promoted the use of materials informatics.

Market Dynamics:

Driver:

Increasing use of machine learning and data mining

The field of material science has undergone a revolution because to data mining, and exciting new prospects are now available. Additionally, it is anticipated that continual improvements in new data mining ideas for various forms of material data and the proliferation of material property databases will continue to have an influence on material design. Moreover, due to the growing use of data mining and machine learning technologies in the material informatics industry would propel market expansion to new heights of success.

Restraint:

Obstacles in the usage of polymer materials

When compared to other materials like metals, ceramics, or biomaterials, polymer materials have a unique trait in the field of material informatics that makes the building of a coherent database difficult. Due to the large variety of polymer morphologies, these polymer materials are extremely complicated, making it challenging to name them using computational methods. The polymer category, which also covers copolymerization, polymer mixing, linear versus branched polymers, and polymer blending are utilized for material informatics, adding complexity to the process of creating a product which impedes the growth of the market

Opportunity:

The development of high entropy alloys, and data analysis

For the materials informatics sector, alloy material has experienced exponential expansion, the field of many primary elements or high entropy that permits alloy formation. Additionally, materials informatics has become a potent tool for material and design discovery in recent years. It is employed in data science applications to tackle challenges related to material science and engineering. These cutting-edge technical methods are utilized in a number of contexts to condense vast experimental restriction spaces in order to locate or look for newly discovered materials thus creating a wide range of opportunities for the growth of the market.

Threat:

Lack of established guidelines and rules along with very few technical resources

Experts with the requisite skill set are essential for comprehending and smoothly integrating material informatics into necessary applications. These fundamental abilities include databases for storing and gathering data as well as arithmetic and statistics to comprehend rules for processing various sorts and amounts of data. Therefore, the system must be installed and integrated with more accuracy. This is a significant obstacle to the wider adoption of these solutions by potential end users. Currently, numerous application fields such as chemical & pharmaceutical, materials science and manufacturing are mostly continuing to follow conventional techniques, regardless of the effectiveness of these. This is because there is no overarching plan in place which is hampering the market growth.

COVID-19 Impact:

The functioning and future potential of several businesses, including material science and research, have been drastically altered by the dissemination of COVID-19 at the beginning of the year 2020. Other industries were influenced as a result of the COVID-19 virus being the subject of study. Additionally, the country's lockdown and standstill in manufacturing have had a detrimental influence on research in a number of industries, which has once again slowed the expansion of the material informatics industry.

The inorganic materials segment is expected to be the largest during the forecast period

The inorganic materials segment is estimated to have a lucrative growth, due to this is mostly because to the substantial reliance on inorganic materials that many significant businesses, including those in the electronics, chemicals, food, paper, and other sectors, have. On the other hand, hybrid materials see phenomenal growth throughout the anticipated time frames due to rising customer inclination for organic and hybrid products that are environmentally benign and also more industry-compatible.

The materials science segment is expected to have the highest CAGR during the forecast period

The materials science segment is anticipated to witness the highest CAGR growth during the forecast period. The discovery and development of novel materials, material informatics approaches can be applied in materials science applications. A variety of materials and nanotechnology are used in materials science. This makes computing issues in materials science more challenging. This subject also sees ongoing development into novel materials with certain desired functionality. To make the processes of material creation, management, and optimization simpler, various materials, modelling approaches, simulation tools, and physics-based and machine-learning models are utilized in this sector.

Region with largest share:

North America is projected to hold the largest market share during the forecast period owing to rising investments in the field of material science and analysis as well as rising R&D activities across numerous sectors including electronics, chemicals, and many others, North America held the majority of market revenue share in the global material informatics market in 2020. The area also takes the lead in the use of cutting-edge technologies including artificial intelligence (AI), machine learning (ML), big data, and data analytics due to its status as a technological leader. Data science, machine learning, and AI integration have created a new paradigm for market possibilities.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, owing to number of factors, including the area's strong industrial and economic expansion, which has raised demand for advanced materials across industries including automotive, electronics, and construction, the Asia-Pacific region is anticipated to have the largest growth throughout the projection period. Furthermore, nations like China, India, and Japan have made significant investments in research and development, including the science and technology of materials. The expansion of material informatics in the Asia-Pacific area is also aided by the availability of a big talent pool in data science and materials science, as well as government measures to support research and development.

Key players in the market:

Some of the key players profiled in the Materials Informatics Market include: Alpine Electronics Inc., Phaseshift Technologies, Exabyte.io, Schrodinger, Materials Zone Ltd., Mat3ra, BASF, Citrine Informatics, Nutonian Inc., Dassault Systemes, Kebotix, AI Materia, Lumiant Corporation, Sun Innovations, Mitsubishi, Fujitsu, InSilixa and MRL Materials Resources LLC

Key Developments:

  • In June 2023, ISAE Group and Dassault Systemes Partner to Accelerate the Digital Transformation of the Aerospace Industry, ISAE Group will deploy Dassault Systemes' 3DEXPERIENCE platform in its training programs for 7,000 students.
  • In June 2023, Dassault Aviation and Dassault Systemes Partner to Bring Secure, Sovereign Collaboration on the Cloud to Next Generation Defense Programs, this next step in their long-term collaboration is a key driver of a European sovereign cloud that can influence other sectors such as health care and public services
  • In January 2022, Schrodinger acquired XTAL BioStructures, Inc., a private company that provides structural biology services. The acquisition of XTAL BioStructures enabled Schrodinger to augment its ability to produce high-quality target structures.

Material Types Covered:

  • Chemicals
  • Elements
  • Hybrid Materials
  • Inorganic Materials
  • Organic Materials
  • Other Material Types

Techniques Covered:

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

Applications Covered:

  • Chemical & Pharmaceutical
  • Dyes
  • Energy
  • Food Science
  • Manufacturing
  • Materials Science
  • Paper & Pulp
  • Other Applications

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2021, 2022, 2023, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 Emerging Markets
  • 3.8 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Materials Informatics Market, By Material Type

  • 5.1 Introduction
  • 5.2 Chemicals
  • 5.3 Elements
  • 5.4 Hybrid Materials
    • 5.4.1 Copolymers
    • 5.4.2 Colloids
  • 5.5 Inorganic Materials
    • 5.5.1 Metals
    • 5.5.2 Alloys
    • 5.5.3 Battery
    • 5.5.4 Other Inorganic Materials
  • 5.6 Organic Materials
    • 5.6.1 Rubber
    • 5.6.2 Additive Agent for Polymer
    • 5.6.3 Other Organic Materials
  • 5.7 Other Material Types

6 Global Materials Informatics Market, By Technique

  • 6.1 Introduction
  • 6.2 Digital Annealer
  • 6.3 Deep Tensor
  • 6.4 Statistical Analysis
  • 6.5 Genetic Algorithm

7 Global Materials Informatics Market, By Application

  • 7.1 Introduction
  • 7.2 Chemical & Pharmaceutical
  • 7.3 Dyes
  • 7.4 Energy
  • 7.5 Food Science
  • 7.6 Manufacturing
  • 7.7 Materials Science
  • 7.8 Paper & Pulp
  • 7.9 Other Applications

8 Global Materials Informatics Market, By Geography

  • 8.1 Introduction
  • 8.2 North America
    • 8.2.1 US
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 Germany
    • 8.3.2 UK
    • 8.3.3 Italy
    • 8.3.4 France
    • 8.3.5 Spain
    • 8.3.6 Rest of Europe
  • 8.4 Asia Pacific
    • 8.4.1 Japan
    • 8.4.2 China
    • 8.4.3 India
    • 8.4.4 Australia
    • 8.4.5 New Zealand
    • 8.4.6 South Korea
    • 8.4.7 Rest of Asia Pacific
  • 8.5 South America
    • 8.5.1 Argentina
    • 8.5.2 Brazil
    • 8.5.3 Chile
    • 8.5.4 Rest of South America
  • 8.6 Middle East & Africa
    • 8.6.1 Saudi Arabia
    • 8.6.2 UAE
    • 8.6.3 Qatar
    • 8.6.4 South Africa
    • 8.6.5 Rest of Middle East & Africa

9 Key Developments

  • 9.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 9.2 Acquisitions & Mergers
  • 9.3 New Product Launch
  • 9.4 Expansions
  • 9.5 Other Key Strategies

10 Company Profiling

  • 10.1 Alpine Electronics Inc.
  • 10.2 Phaseshift Technologies
  • 10.3 Exabyte.io
  • 10.4 Schrodinger
  • 10.5 Materials Zone Ltd.
  • 10.6 Mat3ra
  • 10.7 BASF
  • 10.8 Citrine Informatics
  • 10.9 Nutonian Inc.
  • 10.10 Dassault Systemes
  • 10.11 Kebotix
  • 10.12 AI Materia
  • 10.13 Lumiant Corporation
  • 10.14 Sun Innovations
  • 10.15 Mitsubishi
  • 10.16 Fujitsu
  • 10.17 InSilixa
  • 10.18 MRL Materials Resources LLC

List of Tables

  • Table 1 Global Materials Informatics Market Outlook, By Region (2021-2030) ($MN)
  • Table 2 Global Materials Informatics Market Outlook, By Material Type (2021-2030) ($MN)
  • Table 3 Global Materials Informatics Market Outlook, By Chemicals (2021-2030) ($MN)
  • Table 4 Global Materials Informatics Market Outlook, By Elements (2021-2030) ($MN)
  • Table 5 Global Materials Informatics Market Outlook, By Hybrid Materials (2021-2030) ($MN)
  • Table 6 Global Materials Informatics Market Outlook, By Copolymers (2021-2030) ($MN)
  • Table 7 Global Materials Informatics Market Outlook, By Colloids (2021-2030) ($MN)
  • Table 8 Global Materials Informatics Market Outlook, By Inorganic Materials (2021-2030) ($MN)
  • Table 9 Global Materials Informatics Market Outlook, By Metals (2021-2030) ($MN)
  • Table 10 Global Materials Informatics Market Outlook, By Alloys (2021-2030) ($MN)
  • Table 11 Global Materials Informatics Market Outlook, By Battery (2021-2030) ($MN)
  • Table 12 Global Materials Informatics Market Outlook, By Other Inorganic Materials (2021-2030) ($MN)
  • Table 13 Global Materials Informatics Market Outlook, By Organic Materials (2021-2030) ($MN)
  • Table 14 Global Materials Informatics Market Outlook, By Rubber (2021-2030) ($MN)
  • Table 15 Global Materials Informatics Market Outlook, By Additive Agent for Polymer (2021-2030) ($MN)
  • Table 16 Global Materials Informatics Market Outlook, By Other Organic Materials (2021-2030) ($MN)
  • Table 17 Global Materials Informatics Market Outlook, By Other Material Types (2021-2030) ($MN)
  • Table 18 Global Materials Informatics Market Outlook, By Technique (2021-2030) ($MN)
  • Table 19 Global Materials Informatics Market Outlook, By Digital Annealer (2021-2030) ($MN)
  • Table 20 Global Materials Informatics Market Outlook, By Deep Tensor (2021-2030) ($MN)
  • Table 21 Global Materials Informatics Market Outlook, By Statistical Analysis (2021-2030) ($MN)
  • Table 22 Global Materials Informatics Market Outlook, By Genetic Algorithm (2021-2030) ($MN)
  • Table 23 Global Materials Informatics Market Outlook, By Application (2021-2030) ($MN)
  • Table 24 Global Materials Informatics Market Outlook, By Chemical & Pharmaceutical (2021-2030) ($MN)
  • Table 25 Global Materials Informatics Market Outlook, By Dyes (2021-2030) ($MN)
  • Table 26 Global Materials Informatics Market Outlook, By Energy (2021-2030) ($MN)
  • Table 27 Global Materials Informatics Market Outlook, By Food Science (2021-2030) ($MN)
  • Table 28 Global Materials Informatics Market Outlook, By Manufacturing (2021-2030) ($MN)
  • Table 29 Global Materials Informatics Market Outlook, By Materials Science (2021-2030) ($MN)
  • Table 30 Global Materials Informatics Market Outlook, By Paper & Pulp (2021-2030) ($MN)
  • Table 31 Global Materials Informatics Market Outlook, By Other Applications (2021-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.