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

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 GeographyAccording 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, Schrödinger, Materials Zone Ltd., Mat3ra, BASF, Citrine Informatics, Nutonian Inc., Dassault Systèmes, Kebotix, AI Materia, Lumiant Corporation, Sun Innovations, Mitsubishi, Fujitsu, InSilixa and MRL Materials Resources LLC

Key Developments:

In June 2023, ISAE Group and Dassault Systèmes Partner to Accelerate the Digital Transformation of the Aerospace Industry, ISAE Group will deploy Dassault Systèmes’ 3DEXPERIENCE platform in its training programs for 7,000 students.

In June 2023, Dassault Aviation and Dassault Systèmes 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, Schrödinger acquired XTAL BioStructures, Inc., a private company that provides structural biology services. The acquisition of XTAL BioStructures enabled Schrödinger 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