The materials informatics market size was valued at US$ 75.9 million in 2021 and is expected to hit US$ 501.4 million by 2030 with a CAGR of 25.9% from 2022 to 2030.
Growth Factors
Materials informatics is an effort to improve the efficiency of material development through the use of informatics methods such as statistical analysis. The applications to the field of materials have grown in popularity in recent years, as digitization has enabled the manipulation of massive amounts of data using supercomputers and other type of technological equipment. In addition to machine learning, materials informatics encompasses technologies from a variety of fields, including property theory, experiments, simulations, databases, cloud computing, security, and so on. Due to the technological advancements in both fields, materials informatics, also known as the fusion field of materials science and information science, has grown in popularity.
In recent years, the application of materials informatics to find novel attractive materials has been successful. One significant example is the discovery of new super hard materials. The existing materials, such as osmium and rhenium, are utilized in abrasives and cutting tools, but they need high synthetic conditions or contain very rare elements.
The design, development, and manufacturing of sophisticated materials and chemicals will be required to produce transformational technologies for alleviating global environmental and technological concerns. To achieve this innovation faster than conventional methods, a shift to a materials informatics is required, in which synergies between material science, data science, and artificial intelligence are leveraged to enable transformative, data driven discoveries faster than ever before via predictive models.
Despite the fact that materials informatics is becoming more widely used in the chemical and material industries, constraints such as data scarcity and cultural opposition are preventing widespread acceptance. These factors are creating obstacles for the growth of the global materials informatics market during the forecast period.
The artificial intelligence has been proposed in almost every industry. Although material science research and development is behind the curve and faces numerous industry specific challenges, the opportunities are beginning to emerge, and the potential impact is considerable.
There are variety of potential benefits of materials informatics, including as discovering new species or relationships, extracting value from current data, and creating use case internet protocol on existing chemicals, but in most situations, its all about reducing time to market the materials informatics systems and gaining a competitive edge.
One of the most attractive areas in materials science is materials informatics. The creation of new materials for a certain application, and the optimization of how they are produced are all reliant on employing data infrastructures and using machine learning solutions. The 3-dimensional printing has emerged as a clear target for the application of materials informatics, and it is already yielding significant results.
The advanced statistical learning elements such as regularization, classification, and regression are routinely used by materials data scientists to gain insights into inherent patterns, underlying physics, and structure property correlations across a wide range of length and time scales. The fundamental difficulty with the materials informatics is the high dimensional and dispersed nature of the parameter space associated with multi-component materials, which makes the design problem unsolvable using traditional material science methodologies.
Thus, all these challenges can be overcome with the help of innovative technologies such as artificial intelligence and machine learning. The innovations in these fields are creating growth opportunities for the materials informatics market.
Report Coverage
Report Scope | Details |
Market Size | USD 501.4 million by 2030 |
Growth Rate | CAGR of 25.9% From 2022 to 2030 |
Base Year | 2021 |
Forecast Period | 2022 to 2030 |
Report coverage | Growth Factors, Revenue Status, Competitive Landscape, and Future Trends |
Segments Covered | Material, Technique, Application, Region |
Regional Scope | North America, Europe, Asia Pacific, Latin America, Middle East & Africa (MEA) |
Companies Mentioned | Exabyte.io, Alpine Electronics Inc., Phaseshift Technologies, Nutonian Inc., Schrodinger, Citrine Informatics, Materials Zone Ltd., BASF, Kebotix, AI Materia. |
Material Insights
The hybrid material segment dominated the materials informatics market in 2020. At the nanoscale or molecular level, hybrid materials are composites made up of two elements. One of these chemicals is typically inorganic, whereas the other is organic. As a result, they are distinct from standard composites in which the constituents are macroscopic in nature. Mixing at the microscopic scale results in a more homogenous substance with properties that are either intermediate between the two initial phases or are entirely new.
The organic material segment is fastest growing segment of the materials informatics market in 2020. Organic materials are carbon-based substances that were once sourced from live organisms but now available in lab-created equivalents. The majority of them are made up of a few of the lightest elements, such as oxygen, hydrogen, carbon, and nitrogen.
Technique Insights
The digital annealer segment dominated the materials informatics market in 2020. The world’s first quantum-inspired digital technology architecture, digital annealer, is capable of executing real time and parallel optimization calculations at a scale that traditional computing cannot.
The genetic algorithms segment, on the other hand, is predicted to develop at a rapid rate over the projection period. The genetic algorithm is an approach for addressing the limited optimization problems based on natural selection that is the biological evolution process.
ApplicationInsights
In 2020, the research and development agencies segment dominated the materials informatics market. It is very evident that the ability to develop novel materials and bring them to market as quickly as possible is a goal of several market players. Thus, the materials informatics is used on a large scale by research and development agencies.
The material science segment, on the other hand, is predicted to develop at the quickest rate in the future years. Materials informatics is a branch of informatics that focuses on improving the knowledge, usage, selection, development, and discovery of materials by applying informatics ideas to material science.
Region Insights
North America dominated the materials informatics market in 2020. The rapid expansion of research efforts in the North America region’s fast emerging economies is likely to boost the growth of the materials informatics market.
Asia-Pacific, on the other hand, is expected to develop at the fastest rate during the forecast period. Due to low production and labor costs, as well as the presence of favorable industrial environment, some developing nations in the Asia-Pacific area, such as China, India, and Japan, are drawing significant international companies to perform research operations.
Key Developments
The keyplayers in the materials informatics market are constantly inventing and developing improved analytical solutions, as well as extending their product offerings. The Japanese chemicals and materials firms account for the majority of the global players. Japanese corporations are the most open to materials informatics, and several of them have publicly announced their materials informatics strategy. There are undoubtedly many more chemical corporations with active materials informatics activities that have not been publicly acknowledged.
Some of the prominent players in the global materials informatics market include:
· Citrine Informatics
· BASF
· Exabyte
· Alpine Electronics Inc.
· Materials Zone Ltd.
· Kebotix
· Uncountable
· Schrodinger
· Phaseshift Technologies
· AI Materia
Segments Covered in the Report
By Material
· Inorganic Materials
· Organic Materials
· Hybrid Materials
By Technique
· Deep Tensor
· Digital Annealer
· Genetic Algorithm
· Statistical Analysis
By Application
· Dyes
· Chemical Industries
· Research and Development Agencies
· Food Science
· Material Science
· Electronics
By Geography
· North America
o U.S.
o Canada
· Europe
o U.K.
o Germany
o France
· Asia-Pacific
o China
o India
o Japan
o South Korea
· Rest of the World
Key Points Covered in Materials Informatics Market Study:
Chapter 1. Introduction
1.1. Research Objective
1.2. Scope of the Study
1.3. Definition
Chapter 2. Research Methodology
2.1. Research Approach
2.2. Data Sources
2.2.1. Primary Research
2.2.2. Secondary Research
2.3. Assumptions & Limitations
Chapter 3. Executive Summary
3.1. Market Snapshot
3.2. Attractive Opportunities in Materials Informatics Market
Chapter 4. Market Variables and Scope
4.1. Introduction to E-bike
4.2. Market Classification and Scope
Chapter 5. COVID-19 Impact on Materials Informatics Market
5.1. COVID-19 Landscape: Materials Informatics Industry Impact
5.1.1. Pre-COVID Analysis on Materials Informatics Industry
5.1.2. Post-COVID Analysis on Materials Informatics Industry
5.2. COVIS-19 Impact: Global Major Government Policy
5.3. Market Trends and Materials Informatics Opportunities in the COVID-19 Landscape
Chapter 6. Market Dynamics Analysis and Trends
6.1. Market Dynamics
6.1.1. Market Drivers
6.1.2. Market Restraints
6.1.3. Market Opportunities
6.1.4. Market Challenges
6.2. Porter’s Five Forces Analysis
6.2.1. Bargaining power of suppliers
6.2.2. Bargaining power of buyers
6.2.3. Threat of substitute
6.2.4. Threat of new entrants
6.2.5. Degree of competition
Chapter 7. Competitive Landscape
7.1. Company Market Share/Positioning Analysis
7.2. Global Materials Informatics Market Revenue Analysis by Manufacturer (2015-2020)
7.3. Revenue Analysis for Top Five Players
7.4. Key Strategies Adopted by the Market Players
7.5. Vendor Landscape
7.5.1. List of Suppliers
7.5.2. List of Buyers
7.6. New Product Launches
7.7. Investment News
7.8. Agreements, Partnerships, Collaborations, and Joint Ventures
Chapter 8. Global Materials Informatics Market, By Material
8.1. Materials Informatics Market, by Material, 2017-2030
8.1.1. Global Materials Informatics Market Revenue, and Growth Rate Analysis by Material (2017-2030)
8.1.2. Global Materials Informatics Market Revenue Share (%) by Material in 2020 and 2030
8.1.3. Organic Materials
8.1.3.1. Market Revenue and Forecast (2017-2030)
8.1.4. Inorganic Materials
8.1.4.1. Market Revenue and Forecast (2017-2030)
8.1.5. Hybrid Materials
8.1.5.1. Market Revenue and Forecast (2017-2030)
Chapter 9. Global Materials Informatics Market, By Technique
9.1. Materials Informatics Market, by Technique, 2017-2030
9.1.1. Global Materials Informatics Market Revenue, and Growth Rate Analysis by Technique(2017-2030)
9.1.2. Global Materials Informatics Market Revenue Share (%) by Techniquein 2020 and 2030
9.1.3. Digital Annealer
9.1.3.1. Market Revenue and Forecast (2017-2030)
9.1.4. Deep Tensor
9.1.4.1. Market Revenue and Forecast (2017-2030)
9.1.5. Statistical Analysis
9.1.5.1. Market Revenue and Forecast (2017-2030)
9.1.6. Genetic Algorithm
9.1.6.1. Market Revenue and Forecast (2017-2030)
Chapter 10. Global Materials Informatics Market, By Application
10.1. Materials Informatics Market, by Application, 2020-2030
10.1.1. Global Materials Informatics Market Revenue, and Growth Rate Analysis by Application (2017-2030)
10.1.2. Global Materials Informatics Market Revenue Share (%) by Application in 2020 and 2030
10.1.3. Chemical Industries
10.1.3.1. Market Revenue and Forecast (2017-2030)
10.1.4. Dyes
10.1.4.1. Market Revenue and Forecast (2017-2030)
10.1.5. Research and Development Agencies
10.1.5.1. Market Revenue and Forecast (2017-2030)
10.1.6. Material Science
10.1.6.1. Market Revenue and Forecast (2017-2030)
10.1.7. Food Science
10.1.7.1. Market Revenue and Forecast (2017-2030)
10.1.8. Electronics
10.1.8.1. Market Revenue and Forecast (2017-2030)
10.1.9. Paper & Pulp
10.1.9.1. Market Revenue and Forecast (2017-2030)
Chapter 11. Global Materials Informatics Market, Regional Estimates and Trend Forecast
11.1. Global Materials Informatics Market Analysis by Regions (2017-2030)
11.2. North America
11.2.1. Market Revenue and Forecast, by Material(2017-2030)
11.2.2. Market Revenue and Forecast, by Technique(2017-2030)
11.2.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.4. U.S.
11.2.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.2.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.2.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.2.5. Rest of North America
11.2.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.2.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.2.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.3. Europe
11.3.1. Market Revenue and Forecast, by Material(2017-2030)
11.3.2. Market Revenue and Forecast, by Technique(2017-2030)
11.3.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.4. UK
11.3.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.3.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.3.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.5. Germany
11.3.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.3.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.3.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.6. France
11.3.6.1. Market Revenue and Forecast, by Material(2017-2030)
11.3.6.2. Market Revenue and Forecast, by Technique(2017-2030)
11.3.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.3.7. Rest of Europe
11.3.7.1. Market Revenue and Forecast, by Material(2017-2030)
11.3.7.2. Market Revenue and Forecast, by Technique(2017-2030)
11.3.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.4. APAC
11.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.4. India
11.4.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.4.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.4.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.5. China
11.4.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.4.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.4.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.6. Japan
11.4.6.1. Market Revenue and Forecast, by Material(2017-2030)
11.4.6.2. Market Revenue and Forecast, by Technique(2017-2030)
11.4.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.4.7. Rest of APAC
11.4.7.1. Market Revenue and Forecast, by Material(2017-2030)
11.4.7.2. Market Revenue and Forecast, by Technique(2017-2030)
11.4.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.5. MEA
11.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.4. GCC
11.5.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.5.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.5.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.5. North Africa
11.5.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.5.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.5.5.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.6. South Africa
11.5.6.1. Market Revenue and Forecast, by Material(2017-2030)
11.5.6.2. Market Revenue and Forecast, by Technique(2017-2030)
11.5.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.5.7. Rest of MEA
11.5.7.1. Market Revenue and Forecast, by Material(2017-2030)
11.5.7.2. Market Revenue and Forecast, by Technique(2017-2030)
11.5.7.3. Market Revenue and Forecast, by Application (2017-2030)
11.6. Latin America
11.6.1. Market Revenue and Forecast, by Material(2017-2030)
11.6.2. Market Revenue and Forecast, by Technique(2017-2030)
11.6.3. Market Revenue and Forecast, by Application (2017-2030)
11.6.4. Brazil
11.6.4.1. Market Revenue and Forecast, by Material(2017-2030)
11.6.4.2. Market Revenue and Forecast, by Technique(2017-2030)
11.6.4.3. Market Revenue and Forecast, by Application (2017-2030)
11.6.5. Rest of LATAM
11.6.5.1. Market Revenue and Forecast, by Material(2017-2030)
11.6.5.2. Market Revenue and Forecast, by Technique(2017-2030)
11.6.5.3. Market Revenue and Forecast, by Application (2017-2030)
Chapter 12. Company Profiles
12.1. Exabyte.io
12.1.1. Company Overview
12.1.2. Product Offerings
12.1.3. Financial Performance
12.1.3.1. Company Revenue (2016-2020)
12.1.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.1.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.1.4. Revenue, and Gross Margin (2016-2020)
12.1.5. Recent Initiatives
12.2. Alpine Electronics Inc.
12.2.1. Company Overview
12.2.2. Product Offerings
12.2.3. Financial Performance
12.2.3.1. Company Revenue (2016-2020)
12.2.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.2.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.2.4. Revenue, and Gross Margin (2016-2020)
12.2.5. Recent Initiatives
12.3. Phaseshift Technologies
12.3.1. Company Overview
12.3.2. Product Offerings
12.3.3. Financial Performance
12.3.3.1. Company Revenue (2016-2020)
12.3.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.3.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.3.4. Revenue, and Gross Margin (2016-2020)
12.3.5. Recent Initiatives
12.4. Nutonian Inc.
12.4.1. Company Overview
12.4.2. Product Offerings
12.4.3. Financial Performance
12.4.3.1. Company Revenue (2016-2020)
12.4.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.4.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.4.4. Revenue, and Gross Margin (2016-2020)
12.4.5. Recent Initiatives
12.5. Schrodinger
12.5.1. Company Overview
12.5.2. Product Offerings
12.5.3. Financial Performance
12.5.3.1. Company Revenue (2016-2020)
12.5.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.5.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.5.4. Revenue, and Gross Margin (2016-2020)
12.5.5. Recent Initiatives
12.6. Citrine Informatics
12.6.1. Company Overview
12.6.2. Product Offerings
12.6.3. Financial Performance
12.6.3.1. Company Revenue (2016-2020)
12.6.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.6.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.6.4. Revenue, and Gross Margin (2016-2020)
12.6.5. Recent Initiatives
12.7. Materials Zone Ltd.
12.7.1. Company Overview
12.7.2. Product Offerings
12.7.3. Financial Performance
12.7.3.1. Company Revenue (2016-2020)
12.7.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.7.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.7.4. Revenue, and Gross Margin (2016-2020)
12.7.5. Recent Initiatives
12.8. BASF
12.8.1. Company Overview
12.8.2. Product Offerings
12.8.3. Financial Performance
12.8.3.1. Company Revenue (2016-2020)
12.8.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.8.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.8.4. Revenue, and Gross Margin (2016-2020)
12.8.5. Recent Initiatives
12.9. Kebotix
12.9.1. Company Overview
12.9.2. Product Offerings
12.9.3. Financial Performance
12.9.3.1. Company Revenue (2016-2020)
12.9.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.9.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.9.4. Revenue, and Gross Margin (2016-2020)
12.9.5. Recent Initiatives
12.10. AI Materia
12.10.1. Company Overview
12.10.2. Product Offerings
12.10.3. Financial Performance
12.10.3.1. Company Revenue (2016-2020)
12.10.3.2. Market Share by Region in 2019/2020 (Revenue Share)
12.10.3.3. Market Share by Operating Segment in 2019/2020 (Revenue Share)
12.10.4. Revenue, and Gross Margin (2016-2020)
12.10.5. Recent Initiatives
Chapter 13. Analyst View
13.1. Market Suggestions
Chapter 14. Appendix
14.1. About Us
14.2. Glossary of Terms