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市场调查报告书
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1662871

2030 年材料资讯学市场预测：按解决方案类型、材料类型、资料类型、应用、最终用户和地区进行的全球分析

Material Informatics Market Forecasts to 2030 - Global Analysis By Solution Type (Software, Services, Cloud-Based, On-Premise, Hybrid and Other Solution Types), Material Type, Data Type, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据 Stratistics MRC 的数据，全球材料资讯学市场预计在 2024 年将达到 1.581 亿美元，到 2030 年将达到 4.162 亿美元，预测期内的复合年增长率为 17.5%。

材料资讯学是一个多学科领域，它结合了材料科学、资料科学和计算技术，以加速材料的发现、设计和最佳化。透过利用大型资料、机器学习和人工智慧，我们能够预测材料的属性、性能和行为。与传统的试验方法相比，这种方法提高了设计具有所需特性的新材料的能力。材料资讯学在能源储存、製造和电子等领域发挥关键作用，促进了广泛应用的材料开发。

根据《自然通讯》（2022 年）发表的一项研究，与传统方法相比，机器学习模型可以将材料发现所需的时间减少高达 90%。

云端基础的资料分析平台日益普及

云端基础的资料分析平台因其能够高效储存和处理大量材料资料而受到市场欢迎。这些平台具有可扩展性、灵活性和成本效益，可实现更快的资料分析和协作研究。这些平台促进了先进的机器学习和人工智慧工具在材料发现和优化方面的应用，这对于加速创新和推动能源、电子和製造业等行业的突破至关重要。

资料品质和整合复杂性

资料品质和整合复杂性给市场带来了重大挑战。不一致、不完整或不准确的资料会导致不可靠的预测并阻碍材料的发现和最佳化。此外，整合来自不同来源的不同资料可能很困难，从而减缓研究进度。这些问题增加了出错的风险，降低了分析效率，并可能导致材料设计不理想——最终阻碍创新并减缓新先进材料的开发。

关注永续性和绿色技术

随着各行各业优先考虑环保解决方案，永续性和绿色技术正成为市场的核心。利用资料分析和人工智慧，研究人员可以设计出对环境影响较小的永续材料，包括更节能的材料、可回收的组件和环保替代品。这一重点将有助于开发推动创新的绿色技术，同时应对与气候变迁和资源保护相关的全球挑战。

实施成本

高昂的市场采用成本可能会阻碍中小企业采用先进技术，从而限制创新。这种经济障碍可能会减缓人工智慧和资料驱动工具的采用，并导致竞争减少。此外，基础设施和培训的领先成本可能会造成资源紧张并导致计划执行延迟，这可能会阻碍市场成长，尤其是在资源受限的环境中。

COVID-19 的影响

COVID-19 疫情扰乱了市场，导致研发活动放缓、计划延迟和供应链挑战。远距工作和有限的协作阻碍了创新，财务不确定性导致对新技术的投资减少。然而，疫情加速了数位转型，越来越多的公司利用人工智慧和资料分析来优化材料开发，为市场创造了长期成长机会。

预计预测期内聚合物部分将占据最大的市场占有率。

预计预测期内聚合物部分将占据最大的市场占有率。透过应用机器学习、人工智慧和巨量资料分析，研究人员能够优化汽车、医疗和电子等各行业的聚合物性能。该技术提高了研发效率，缩短了产品上市时间并促进了高性能材料的开发。它有助于快速识别有前景的聚合物候选物，彻底改变多个领域的材料设计和创新。

预计汽车业在预测期内的复合年增长率最高

预计预测期内汽车产业将实现最高成长率。计算工具使製造商能够优化材料特性、减轻重量、提高安全性并提高燃油效率。这项市场发展将有助于汽车製造商透过识别和开发电动车、轻量化零件和可持续设计的新材料来更快地创新，最终推动汽车产业的性能和永续性。

比最大的地区

预计预测期内北美地区将占据最大的市场占有率。公司正在使用资料科学、人工智慧和机器学习来加速材料发现、优化性能并降低汽车、航太和医疗等领域的研发成本。北美强大的研究基础设施、行业伙伴关係以及对永续材料日益增长的需求有助于该地区在材料资讯学领域占据领先地位。

复合年增长率最高的地区

预计预测期内亚太地区将呈现最高的复合年增长率。中国、日本、韩国和印度等国家正大力投资材料研究和创新。这些政府认识到材料科学在清洁能源、电子和製造业等领域的重要性。此外，透过分析大量资料集和预测新材料的属性，人工智慧和机器学习正被用于加速材料发现过程。

提供免费客製化

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场参与企业（最多 3 家公司）进行全面分析
    • 主要企业的 SWOT 分析（最多 3 家公司）
  • 地理细分
    • 根据客户兴趣对主要国家进行市场估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争性基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第 2 章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二手研究资料资讯来源
    • 先决条件

第三章 市场走势分析

  • 介绍
  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第 4 章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球材料资讯学市场（按解决方案类型）

  • 介绍
  • 软体
    • 资料分析平台
    • 计算工具
    • 材料资料库
    • 最佳化软体
  • 服务
    • 咨询服务
    • 资料管理
    • 培训和支持
    • 自订软体开发
  • 云端基础
  • 本地
  • 杂交种
  • 其他的

6. 全球材料资讯学市场（依材料类型）

  • 介绍
  • 金属和合金
  • 聚合物
  • 陶瓷製品
  • 复合材料
  • 奈米材料

7. 全球材料资讯学市场（按资料类型）

  • 介绍
  • 实验资料
  • 计算资料
  • 人工智慧产生的资料

8. 全球材料资讯学市场（按应用）

  • 介绍
  • 包装材料
  • 先进涂料
  • 药物输送系统
  • 能源储存
  • 太阳能
  • 电池材料
  • 其他的

9. 全球材料资讯学市场（按最终用户）

  • 介绍
  • 车
  • 航太和国防
  • 电子和半导体
  • 活力
  • 医疗
  • 建造
  • 其他的

第 10 章 全球材料资讯学市场（按地区）

  • 介绍
  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 欧洲其他地区
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 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
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • Materials Project
  • Granta Design
  • Hitachi High-Tech Corporation
  • QuesTek Innovations
  • Thermo Fisher Scientific
  • Dassault Systemes
  • IBM
  • Accenture
  • Autodesk
  • DataRobot
  • Atomwise
  • BASF
  • Kebotix
  • InnoSense
  • Materialize Inc.
Product Code: SMRC28733

According to Stratistics MRC, the Global Material Informatics Market is accounted for $158.1 million in 2024 and is expected to reach $416.2 million by 2030 growing at a CAGR of 17.5% during the forecast period. Material Informatics is an interdisciplinary field that combines materials science, data science, and computational techniques to accelerate the discovery, design, and optimization of materials. By leveraging large datasets, machine learning, and artificial intelligence, it enables the prediction of material properties, performance, and behaviors. This approach enhances the ability to design novel materials with desired characteristics more efficiently than traditional trial-and-error methods. Material Informatics plays a crucial role in areas like energy storage, manufacturing, and electronics, facilitating the development of materials for a wide range of applications.

According to a study published in Nature Communications (2022), ML models can reduce the time required for material discovery by up to 90% compared to conventional approaches.

Market Dynamics:

Driver:

Growing popularity of cloud-based data analytics platforms

Cloud-based data analytics platforms are gaining popularity in the market due to their ability to store and process vast amounts of material data efficiently. These platforms offer scalability, flexibility, and cost-effectiveness, enabling faster data analysis and collaborative research. They facilitate the use of advanced machine learning and AI tools for materials discovery and optimization, making them essential for accelerating innovation and driving breakthroughs in industries like energy, electronics, and manufacturing.

Restraint:

Data quality and integration complexity

Data quality and integration complexity pose significant challenges in the market. Inconsistent, incomplete, or inaccurate data can lead to unreliable predictions, hindering material discovery and optimization. Additionally, integrating diverse datasets from various sources can be difficult, slowing down research progress. These issues increase the risk of errors, reduce the efficiency of analytics, and may lead to suboptimal material designs, ultimately impeding innovation and slowing the development of new, advanced materials.

Opportunity:

Focus on sustainability and green technologies

Sustainability and green technologies are becoming central to the market, as industries prioritize eco-friendly solutions. By leveraging data analytics and AI, researchers can design sustainable materials with reduced environmental impact, such as energy-efficient materials, recyclable components, and eco-friendly alternatives. This focus helps in advancing green technologies driving innovation while addressing global challenges related to climate change and resource conservation.

Threat:

Cost of implementation

The high cost of implementation in the market can deter smaller companies from adopting advanced technologies, limiting innovation. This financial barrier may slow down the widespread adoption of AI and data-driven tools, leading to reduced competitiveness. Additionally, the upfront expenses for infrastructure and training can overwhelm resources, causing delays in project execution and hindering the market's growth potential, particularly in resource-constrained environments.

Covid-19 Impact:

The COVID-19 pandemic disrupted the market by slowing research and development activities, delaying projects, and causing supply chain challenges. Remote work and limited collaboration hindered innovation, while financial uncertainty led to reduced investments in new technologies. However, the pandemic also accelerated digital transformation, as companies increasingly turned to AI and data analytics to optimize materials development, creating long-term opportunities for growth in the market.

The polymers segment is expected to be the largest market share during the forecast period

The polymers segment is expected to account for the largest market share during the forecast period. By applying machine learning, artificial intelligence, and big data analytics, researchers can optimize polymer properties for various industries like automotive, healthcare, and electronics. This technology enhances R&D efficiency, reduces time-to-market, and enables the development of high-performance materials. It facilitates the rapid identification of promising polymer candidates, revolutionizing material design and innovation across multiple sectors.

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

Over the forecast period, the automotive segment is predicted to witness the highest growth rate. By leveraging computational tools, manufacturers can optimize material properties, reduce weight, improve safety, and increase fuel efficiency. This market supports faster innovation, helping automakers identify and develop new materials for electric vehicles, lightweight components, and sustainable designs, ultimately driving performance and sustainability in the automotive industry.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share. Companies are leveraging data science, artificial intelligence, and machine learning to accelerate material discovery, optimize properties, and reduce R&D costs across sectors like automotive, aerospace, and healthcare. North America's robust research infrastructure, industry partnerships, and increasing demand for sustainable materials contribute to the region's leadership in material informatics.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR. Countries like China, Japan, South Korea, and India have heavily invested in material research and technological innovations. These governments recognize the importance of material sciences in sectors like clean energy, electronics, and manufacturing. Additionally, AI and ML are being used to accelerate the material discovery process by analyzing vast datasets and predicting the properties of new materials.

Key players in the market

Some of the key players in Material Informatics market include Materials Project, Granta Design, Hitachi High-Tech Corporation, QuesTek Innovations, Thermo Fisher Scientific, Dassault Systemes, IBM, Accenture, Autodesk, DataRobot, Atomwise, BASF, Kebotix, InnoSense and Materialize Inc.

Key Developments:

In May 2024, Hitachi High-Tech Corporation and Hitachi, Ltd. initiated a collaborative project with Taiwan's Industrial Technology Research Institute (ITRI) to integrate Hitachi's Materials Informatics solutions with ITRI's AI-driven "MACSiMUM" platform, aiming to enhance digital transformation in materials R&D.

In March 2024, Kebotix secured a significant investment to expand its AI capabilities, aiming to enhance its platform's ability to discover and design new materials. This development underscores Kebotix's commitment to advancing the field of material informatics through cutting-edge technology.

Solution Types Covered:

  • Software
  • Services
  • Cloud-Based
  • On-Premise
  • Hybrid
  • Other Solution Types

Material Types Covered:

  • Metals and Alloys
  • Polymers
  • Ceramics
  • Composites
  • Nanomaterials

Data Types Covered:

  • Experimental Data
  • Computational Data
  • AI-Generated Data

Applications Covered:

  • Packaging Materials
  • Advanced Coatings
  • Drug Delivery Systems
  • Energy Storage
  • Solar Energy
  • Battery Materials
  • Other Applications

End Users Covered:

  • Automotive
  • Aerospace and Defense
  • Electronics and Semiconductor
  • Energy
  • Healthcare
  • Construction
  • Other End Users

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 2022, 2023, 2024, 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 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 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 Material Informatics Market, By Solution Type

  • 5.1 Introduction
  • 5.2 Software
    • 5.2.1 Data Analytics Platforms
    • 5.2.2 Computational Tools
    • 5.2.3 Material Databases
    • 5.2.4 Optimization Software
  • 5.3 Services
    • 5.3.1 Consulting Services
    • 5.3.2 Data Management
    • 5.3.3 Training & Support
    • 5.3.4 Custom Software Development
  • 5.4 Cloud-Based
  • 5.5 On-Premise
  • 5.6 Hybrid
  • 5.7 Other Solution Types

6 Global Material Informatics Market, By Material Type

  • 6.1 Introduction
  • 6.2 Metals and Alloys
  • 6.3 Polymers
  • 6.4 Ceramics
  • 6.5 Composites
  • 6.6 Nanomaterials

7 Global Material Informatics Market, By Data Type

  • 7.1 Introduction
  • 7.2 Experimental Data
  • 7.3 Computational Data
  • 7.4 AI-Generated Data

8 Global Material Informatics Market, By Application

  • 8.1 Introduction
  • 8.2 Packaging Materials
  • 8.3 Advanced Coatings
  • 8.4 Drug Delivery Systems
  • 8.5 Energy Storage
  • 8.6 Solar Energy
  • 8.7 Battery Materials
  • 8.8 Other Applications

9 Global Material Informatics Market, By End User

  • 9.1 Introduction
  • 9.2 Automotive
  • 9.3 Aerospace and Defense
  • 9.4 Electronics and Semiconductor
  • 9.5 Energy
  • 9.6 Healthcare
  • 9.7 Construction
  • 9.9 Other End Users

10 Global Material Informatics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Materials Project
  • 12.2 Granta Design
  • 12.3 Hitachi High-Tech Corporation
  • 12.4 QuesTek Innovations
  • 12.5 Thermo Fisher Scientific
  • 12.6 Dassault Systemes
  • 12.7 IBM
  • 12.8 Accenture
  • 12.9 Autodesk
  • 12.10 DataRobot
  • 12.12 Atomwise
  • 12.12 BASF
  • 12.13 Kebotix
  • 12.14 InnoSense
  • 12.15 Materialize Inc.

List of Tables

  • Table 1 Global Material Informatics Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Material Informatics Market Outlook, By Solution Type (2022-2030) ($MN)
  • Table 3 Global Material Informatics Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Material Informatics Market Outlook, By Data Analytics Platforms (2022-2030) ($MN)
  • Table 5 Global Material Informatics Market Outlook, By Computational Tools (2022-2030) ($MN)
  • Table 6 Global Material Informatics Market Outlook, By Material Databases (2022-2030) ($MN)
  • Table 7 Global Material Informatics Market Outlook, By Optimization Software (2022-2030) ($MN)
  • Table 8 Global Material Informatics Market Outlook, By Services (2022-2030) ($MN)
  • Table 9 Global Material Informatics Market Outlook, By Consulting Services (2022-2030) ($MN)
  • Table 10 Global Material Informatics Market Outlook, By Data Management (2022-2030) ($MN)
  • Table 11 Global Material Informatics Market Outlook, By Training & Support (2022-2030) ($MN)
  • Table 12 Global Material Informatics Market Outlook, By Custom Software Development (2022-2030) ($MN)
  • Table 13 Global Material Informatics Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 14 Global Material Informatics Market Outlook, By On-Premise (2022-2030) ($MN)
  • Table 15 Global Material Informatics Market Outlook, By Hybrid (2022-2030) ($MN)
  • Table 16 Global Material Informatics Market Outlook, By Other Solution Types (2022-2030) ($MN)
  • Table 17 Global Material Informatics Market Outlook, By Material Type (2022-2030) ($MN)
  • Table 18 Global Material Informatics Market Outlook, By Metals and Alloys (2022-2030) ($MN)
  • Table 19 Global Material Informatics Market Outlook, By Polymers (2022-2030) ($MN)
  • Table 20 Global Material Informatics Market Outlook, By Ceramics (2022-2030) ($MN)
  • Table 21 Global Material Informatics Market Outlook, By Composites (2022-2030) ($MN)
  • Table 22 Global Material Informatics Market Outlook, By Nanomaterials (2022-2030) ($MN)
  • Table 23 Global Material Informatics Market Outlook, By Data Type (2022-2030) ($MN)
  • Table 24 Global Material Informatics Market Outlook, By Experimental Data (2022-2030) ($MN)
  • Table 25 Global Material Informatics Market Outlook, By Computational Data (2022-2030) ($MN)
  • Table 26 Global Material Informatics Market Outlook, By AI-Generated Data (2022-2030) ($MN)
  • Table 27 Global Material Informatics Market Outlook, By Application (2022-2030) ($MN)
  • Table 28 Global Material Informatics Market Outlook, By Packaging Materials (2022-2030) ($MN)
  • Table 29 Global Material Informatics Market Outlook, By Advanced Coatings (2022-2030) ($MN)
  • Table 30 Global Material Informatics Market Outlook, By Drug Delivery Systems (2022-2030) ($MN)
  • Table 31 Global Material Informatics Market Outlook, By Energy Storage (2022-2030) ($MN)
  • Table 32 Global Material Informatics Market Outlook, By Solar Energy (2022-2030) ($MN)
  • Table 33 Global Material Informatics Market Outlook, By Battery Materials (2022-2030) ($MN)
  • Table 34 Global Material Informatics Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 35 Global Material Informatics Market Outlook, By End User (2022-2030) ($MN)
  • Table 36 Global Material Informatics Market Outlook, By Automotive (2022-2030) ($MN)
  • Table 37 Global Material Informatics Market Outlook, By Aerospace and Defense (2022-2030) ($MN)
  • Table 38 Global Material Informatics Market Outlook, By Electronics and Semiconductor (2022-2030) ($MN)
  • Table 39 Global Material Informatics Market Outlook, By Energy (2022-2030) ($MN)
  • Table 40 Global Material Informatics Market Outlook, By Healthcare (2022-2030) ($MN)
  • Table 41 Global Material Informatics Market Outlook, By Construction (2022-2030) ($MN)
  • Table 42 Global Material Informatics Market Outlook, By Other End Users (2022-2030) ($MN)

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