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1662871

2030 年材料資訊學市場預測：按解決方案類型、材料類型、資料類型、應用、最終用戶和地區進行的全球分析

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個工作天內

價格

根據 Stratistics MRC 的數據，全球材料資訊學市場預計在 2024 年將達到 1.581 億美元，到 2030 年將達到 4.162 億美元，預測期內的複合年成長率為 17.5%。

材料資訊學是一個多學科領域，它結合了材料科學、資料科學和計算技術，以加速材料的發現、設計和最佳化。透過利用大型資料、機器學習和人工智慧，我們能夠預測材料的屬性、性能和行為。與傳統的試驗方法相比，這種方法提高了設計具有所需特性的新材料的能力。材料資訊學在能源儲存、製造和電子等領域發揮關鍵作用，促進了廣泛應用的材料開發。

根據《自然通訊》（2022 年）發表的一項研究，與傳統方法相比，機器學習模型可以將材料發現所需的時間減少高達 90%。

雲端基礎的資料分析平台日益普及

雲端基礎的資料分析平台因其能夠高效儲存和處理大量材料資料而受到市場歡迎。這些平台具有可擴展性、靈活性和成本效益，可實現更快的資料分析和協作研究。這些平台促進了先進的機器學習和人工智慧工具在材料發現和最佳化方面的應用，這對於加速創新和推動能源、電子和製造業等行業的突破至關重要。

資料品質和整合複雜性

資料品質和整合複雜性給市場帶來了重大挑戰。不一致、不完整或不準確的資料會導致不可靠的預測並阻礙材料的發現和最佳化。此外，整合來自不同來源的不同資料可能很困難，從而減緩研究進度。這些問題增加了出錯的風險，降低了分析效率，並可能導致材料設計不理想——最終阻礙創新並減緩新先進材料的開發。

關注永續性和綠色技術

隨著各行各業優先考慮環保解決方案，永續性和綠色技術正成為市場的核心。利用資料分析和人工智慧，研究人員可以設計出對環境影響較小的永續材料，包括更節能的材料、可回收的組件和環保替代品。這一重點將有助於開發推動創新的綠色技術，同時應對與氣候變遷和資源保護相關的全球挑戰。

實施成本

高昂的市場採用成本可能會阻礙中小企業採用先進技術，從而限制創新。這種經濟障礙可能會減緩人工智慧和資料驅動工具的採用，並導致競爭減少。此外，基礎設施和培訓的領先成本可能會造成資源緊張並導致計劃執行延遲，這可能會阻礙市場成長，尤其是在資源受限的環境中。

COVID-19 的影響

COVID-19 疫情擾亂了市場，導致研發活動放緩、計劃延遲和供應鏈挑戰。遠距工作和有限的協作阻礙了創新，財務不確定性導致對新技術的投資減少。然而，疫情加速了數位轉型，越來越多的公司利用人工智慧和資料分析來最佳化材料開發，為市場創造了長期成長機會。

預計預測期內聚合物部分將佔據最大的市場佔有率。

預計預測期內聚合物部分將佔據最大的市場佔有率。透過應用機器學習、人工智慧和巨量資料分析，研究人員能夠最佳化汽車、醫療和電子等各行業的聚合物性能。該技術提高了研發效率，縮短了產品上市時間並促進了高性能材料的開發。它有助於快速識別有前景的聚合物候選物，徹底改變多個領域的材料設計和創新。

預計汽車業在預測期內的複合年成長率最高

預計預測期內汽車產業將實現最高成長率。計算工具使製造商能夠最佳化材料特性、減輕重量、提高安全性並提高燃油效率。這項市場發展將有助於汽車製造商透過識別和開發電動車、輕量化零件和永續設計的新材料來更快地創新，最終推動汽車產業的性能和永續性。

比最大的地區

預計預測期內北美地區將佔據最大的市場佔有率。公司正在使用資料科學、人工智慧和機器學習來加速材料發現、最佳化性能並降低汽車、航太和醫療等領域的研發成本。北美強大的研究基礎設施、行業夥伴關係以及對永續材料日益成長的需求有助於該地區在材料資訊學領域佔據領先地位。

複合年成長率最高的地區

預計預測期內亞太地區將呈現最高的複合年成長率。中國、日本、韓國和印度等國家正大力投資材料研究和創新。這些政府認知到材料科學在清潔能源、電子和製造業等領域的重要性。此外，透過分析大量資料集和預測新材料的屬性，人工智慧和機器學習正被用於加速材料發現過程。

提供免費客製化

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 主要企業的 SWOT 分析（最多 3 家公司）
  • 地理細分
    • 根據客戶興趣對主要國家進行市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第 2 章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二手研究資料資訊來源
    • 先決條件

第3章 市場走勢分析

  • 介紹
  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第 4 章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球材料資訊學市場（按解決方案類型）

  • 介紹
  • 軟體
    • 資料分析平台
    • 計算工具
    • 材料資料庫
    • 最佳化軟體
  • 服務
    • 諮詢服務
    • 資料管理
    • 培訓和支持
    • 自訂軟體開發
  • 雲端基礎
  • 本地
  • 混合
  • 其他

6. 全球材料資訊學市場（依材料類型）

  • 介紹
  • 金屬和合金
  • 聚合物
  • 陶瓷製品
  • 複合材料
  • 奈米材料

7. 全球材料資訊學市場（按資料類型）

  • 介紹
  • 實驗資料
  • 計算資料
  • 人工智慧產生的資料

8. 全球材料資訊學市場（按應用）

  • 介紹
  • 包裝材料
  • 先進塗料
  • 藥物輸送系統
  • 能源儲存
  • 太陽能
  • 電池材料
  • 其他

9. 全球材料資訊學市場（按最終用戶）

  • 介紹
  • 車
  • 航太和國防
  • 電子和半導體
  • 能源
  • 醫療
  • 建造
  • 其他

第 10 章 全球材料資訊學市場（按地區）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 歐洲其他地區
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • 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.