市場調查報告書
商品編碼
1339926
2030 年材料資訊學市場預測:按材料類型、技術、用途和地區進行的全球分析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 |
據Stratistics MRC預測,2023年全球材料資訊學市場規模將達到1.29億美元,預計到2030年將達到4.18億美元,預測期內年複合成長率為18.3%。
通過利用統計分析等資訊學技術,材料資訊學旨在提高材料創建的有效性。 “材料資訊學”將機器學習與凝聚態理論、實驗、模擬、數據庫、雲端運算和安全等各個領域的技術相結合。由於這兩個領域技術的進步,材料資訊學(也稱為資訊科學和材料科學的融合)擴大被使用。通過創建可以高速處理大量資料的環境,正在促進材料資訊學的使用。
資料挖掘正在徹底改變材料科學領域,開闢令人興奮的新視角。此外,各種型態材料資料的新資料挖掘思想的持續改進和材料特性數據庫的激增預計將繼續影響材料設計。此外,材料資訊學行業中資料挖掘和機器學習技術的日益使用可能會推動市場擴張達到新的成功高度。
與金屬、陶瓷和生物材料等其他材料相比,高分子材料具有材料資訊學領域獨有的特性,這使得構建一致的數據庫變得困難。由於聚合物型態多種多樣,這些聚合物材料非常複雜並且難以使用計算方法命名。聚合物類別還包括共聚、聚合物共混物、線性和支化聚合物、聚合物共混物等,並用於材料資訊學,這增加了製造產品過程的複雜性並阻礙了市場成長。
在材料資訊學領域,合金材料正在經歷巨大的擴張。此外,近年來,材料資訊學已成為材料和設計發現的強大工具。它用於資料科學應用,以解決與材料科學和工程相關的挑戰。這種最先進的技術方法在許多情況下被利用,以凝聚巨大的實驗限制空間來尋找和探索新發現的材料,從而為市場創造了廣泛的成長機會。
具有必要技能的專家對於理解材料資訊學並將整合到所需的應用中至關重要。這種基本能力包括算術和統計,以理解用於存儲和收集資料的數據庫,以及處理不同類型和數量的資料的規則。這需要引入和整合更精確的系統。這是潛在最終用戶廣泛採用這些解決方案的主要障礙。如今,化學和製藥、材料科學和製造等許多應用領域仍然大多遵循傳統方法,無論其有效性如何。這是因為沒有全面的計劃阻礙了市場的成長。
2020 年初,COVID-19 的傳播極大地改變了包括材料科學和研究在內的多個行業的功能和未來性。由於 COVID-19 病毒成為研究對象,其他行業也受到了影響。此外,國家封鎖和製造業停工對許多行業的研究產生了負面影響,再次減緩了材料資訊行業的擴張。
無機材料領域預計將出現良好成長,主要是因為包括電子、化工、食品、造紙等行業在內的許多重要業務高度依賴無機材料。另一方面,由於客戶對環保和工業上更兼容的有機和混合產品的偏好不斷增加,混合材料在預期期間出現了巨大的成長。
材料科學領域預計在預測期內年複合成長率最高。新材料的發現和開發,材料資訊學方法可以應用於材料科學應用。材料科學使用各種材料和奈米技術。這使得材料科學中的計算挑戰變得更加困難。此外,在開發具有特定所需功能的新材料方面,該主題正在取得進展。該領域使用各種材料、建模方法、模擬工具以及基於物理和機器學習的模型來簡化材料創建、管理和最佳化的過程。
由於材料科學和分析領域的投資增加,電子、化學和許多其他領域的研發活動活性化,預計北美將在預測期內佔據最大的市場佔有率,從而導致 2020 年全球材料成長。佔據了Zinformatics 市場的大部分市場收入佔有率。憑藉其技術領導者的地位,該地區在人工智慧 (AI)、機器學習 (ML)、巨量資料和資料分析等最尖端科技的使用方面也處於領先地位。資料科學、機器學習和人工智慧的整合創造了市場潛力的新範式。
由於多種要素,亞太地區預計將在預測期內呈現最高的年複合成長率,其中包括該地區強勁的工業和經濟擴張,這推動了汽車、電子和建築等行業對先進材料的需求。將會完成。此外,中國、印度和日本等國家正在大力投資材料科學和技術等研發。材料資訊學在亞太地區的擴張還得益於豐富的資料科學和材料科學人才以及政府支持研發的措施。
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.
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.
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
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.
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.
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 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 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.
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.
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.
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
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.