Material Informatics Market

Material Informatics Market by Technique (Statistical Analysis, Genetic Algorithm, Deep Tensors, Digital Annealers), Elements (Metals, Alloys), Chemicals (Dyes, Polymers, Biomolecules), Application (Chemical, Pharmaceutical) - Global Forecast to 2028

Report Code: SE 8562 Feb, 2023, by marketsandmarkets.com

Updated on : March 03, 2023

[201 Pages Report] The material informatics market size is anticipated to grow from USD 129 million in 2023 to USD 276 million by 2028, at a CAGR of 16.3% from 2023 to 2028.

Rising requirements for innovative materials to reduce design and manufacturing costs, time, and related risks in the manufacturing ecosystem and surging demand of material informatics in R&D activities in various fields, including chemical & pharmaceutical, materials science, and manufacturing for innovative material development are some of the significant factors surging the growth of material informatics industry.

Material Informatics Market

Material Informatics Market Forecast to 2028

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The market growth for the material informatics market will show a significant upsurge due to its various applications in chemical & pharmaceutical, materials science, manufacturing, energy, and food science. With the help of material informatics software, it has become possible for researchers, academicians, and material experts to understand a spectrum of material properties, combinatorial chemistry, process modeling, materials property databases, materials data management and product life cycle management. Hence various software vendors and providers are adopting different strategies, including deals such as acquisitions, partnerships, collaborations, sales contracts and developments such as product launches as well as product enhancements. All these factors are propelling the growth of material informatics market.

Market Dynamics

Driver: Rising use of AI in materials science

Materials science and development are emerging fields wherein scientists and engineers are engaged in conducting deep research on several materials, such as metals, alloys, chemicals, fibers, and ceramics, used in many applications, including aerospace, automotive, chemical, pharmaceutical, and electronics. Initially, the traditional trial-and-error method was used for material identification, selection, and discovery. This method was inefficient and time-consuming since studying materials through the trial-and-error method could not categorize them efficiently. Thus, material selection and optimization processes were complicated. Therefore, businesses started implementing AI to automate material research, identify data patterns, and make better and prompt decisions to simplify these processes.

Restraint: Shortage of technical resources

It is critical to get experts with the required skill set to understand and incorporate materials informatics into necessary applications comfortably. These essential skills include math and statistics to understand protocols for handling different types and sizes of data and databases to help store and collect materials. Thus, the system must be implemented more accurately, from integration to installation. Slight mishandling or inaccuracy in parameter detection may lead to an inefficient analysis process. This may also compromise the quality of R&D needed for any material development. Further, with constant technological advances due to the rising adoption of AI and automation, the material informatics system requires intermittent software upgrades. This requires periodic workforce training to handle the updated system efficiently.

Opportunity: Growing popularity of cloud-based data analytics platforms to analyze materials

The rising popularity of cloud-based data analytics platforms has led to significant advances in material research and informatics. The accelerated use of materials informatics is due to the rapid progress in cloud-based data management frameworks and supercomputing advances. The cloud-based platform provides various benefits, such as cost-effectiveness, reduced analysis time, real-time analysis, easy accessibility to data analysis platform, and the ability to customize the platform according to research topics and data formats. Additionally, cloud-based material informatics platforms do not require any upfront capital investments for hardware, with a minimum requirement of IT staff, and provide rapid and secure data transfer within the organizations. All these benefits are expected to provide an opportunistic environment for vendors of material informatics platforms.

Challenge: Lack of prescribed standards and regulations

Although material informatics platforms have been around for more than two decades, there are several issues related to their integration and implementation. Various attempts are made by associations such as the IQ Consortium (International Consortium for Innovation and Quality in Pharmaceutical Development) to introduce new interfaces and data management standards to facilitate the integration of these systems. However, the lack of integration standards is a major concern in the material informatics field, and there is very little evidence of emerging universal solutions. This is a major barrier to the greater adoption of these solutions among prospective end users. Currently, with no unified strategy, various application areas such as chemical & pharmaceutical, materials science, and manufacturing are largely continuing to follow conventional procedures regardless of the efficiency of these processes.

Elements segment is expected to have the largest size of the material informatics market during the forecast period.

The elements segment is expected to account for the largest share of the material informatics market during forecast period. Several elements, mainly metals, are used in several applications, including materials science, manufacturing, food science and energy. It is necessary to analyze mechanics, metallography, the strength of materials, structural properties, and elemental formulations to optimize a material or even develop a novel element. Using trial and error or synthesis methods can be exhaustive and inefficient during material optimization or discovery processes. Material informatics software plays a key role in simplifying the element development and analysis processes.

The market for materials science application to register at the highest CAGR from 2023 to 2028.

The materials science application is projected to register the highest CAGR in the materials informatics market during the forecast period. Material informatics techniques can be used in materials science applications to assist the discovery and development of new materials. In materials science, a spectrum of materials and nanotechnology is involved. This increases the complexity of computation problems in materials science. Furthermore, this field witnesses the continued research on new materials with specific desired functions. Hence, different materials, modeling techniques, simulation tools, and physics-based and machine-learning models are used in this field to simplify material innovation, management, and optimization processes.

Material Informatics Market by Region

Material Informatics Market by Region

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The material informatics market in Asia Pacific to grow at the highest CAGR during the forecast period.

The rapid growth of manufacturing, including automotive and electronics & semiconductor, chemical & pharmaceutical, food science, and energy in emerging economies of China, Japan, and South Korea is expected to boost the material informatics market in the region. Moreover, governments in the Asia Pacific countries are increasingly emphasizing on materials R&D, which can be achieved by implementing material informatics software. The material informatics market is witnessing rapid growth in countries such as China and Japan owing to the increasing investments of automotive, electronics & semiconductors OEMs and battery industries that are focused on R&D in new innovative materials. For instance, BASF's advanced materials and systems research technology platforms are located across China, Japan, and South Korea. The company has more than 1,200 research and development personnel across the region, with capabilities across all material technology platforms.

Key Market Players

The material informatics companies such as product launches, product developments, partnerships, and acquisitions, to strengthen their offerings in the market. The major players in the market Mat3ra (US), Schrödinger (US), Dassault Systèmes (France), Citrine Informatics (US), Phaseshift Technologies (Canada) among others.

The study includes an in-depth competitive analysis of these key players in the material informatics market with their company profiles, recent developments, and key market strategies.

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Scope of the Report

Report Metric

Details

Years considered

2019–2028

Base year considered

2022

Forecast period

2023–2028

Forecast units

Value (USD)

Segments covered

Material Type, Application and Region

Regions covered

North America, Asia Pacific, Europe, and Rest of the World

Companies covered

Mat3ra (US), Schrödinger (US), Dassault Systèmes (France), Citrine Informatics (US), Phaseshift Technologies (Canada) among others are the top five players in the material informatics market globally. A total of 25 players covered.

Material Informatics Market Highlights

In this report, the overall material informatics market has been segmented based on material type, application and region.

Aspect

Details

By Material Type

  • Elements
  • Chemicals
  • Others

 

By Application

  • Chemical & Pharmaceutical
  • Materials Science
  • Manufacturing
  • Food Science
  • Energy
  • Others

By Region

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • UK
    • Germany
    • France
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • South Korea
    • Rest of Asia Pacific
  • Rest of the World
    • Middle East & Africa
    • South America

Recent Developments

  • In December 2022, Materials Design announced the release of MedeA 3.6, the next version of its MedeA software package, to accelerate material development and innovation at an atomic scale. The company added new features and upgraded various modules in the software package, including engines, property modules, flowcharts, builders and editors, and other analytical tools.
  • In November 2022, Morrow, an industrial battery technology company, signed an agreement with Citrine Informatics to utilize the Citrine Platform for Material Informatics and artificial intelligence (AI)-guided battery development.
  • 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 for its drug discovery programs and expand its offerings to include advanced and differentiated services that provide customers with access to protein structures.

Frequently Asked Questions (FAQ):

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TABLE OF CONTENTS
 
1 INTRODUCTION (Page No. - 27)
    1.1 STUDY OBJECTIVES 
    1.2 MARKET DEFINITION 
    1.3 INCLUSIONS AND EXCLUSIONS 
    1.4 STUDY SCOPE 
           1.4.1 MARKETS COVERED
                    FIGURE 1 MATERIAL INFORMATICS MARKET SEGMENTATION
           1.4.2 GEOGRAPHIC SCOPE
           1.4.3 YEARS CONSIDERED
    1.5 CURRENCY CONSIDERED 
    1.6 STAKEHOLDERS 
 
2 RESEARCH METHODOLOGY (Page No. - 31)
    2.1 RESEARCH DATA 
           FIGURE 2 MATERIAL INFORMATICS MARKET: RESEARCH DESIGN
           2.1.1 SECONDARY DATA
                    2.1.1.1 List of major secondary sources
                    2.1.1.2 Key data from secondary sources
           2.1.2 PRIMARY DATA
                    2.1.2.1 Breakdown of primaries
                    2.1.2.2 Primary interviews with experts
                    2.1.2.3 Key data from primary sources
           2.1.3 SECONDARY AND PRIMARY RESEARCH
                    2.1.3.1 Key industry insights
    2.2 MARKET SIZE ESTIMATION 
           2.2.1 BOTTOM-UP APPROACH
                    2.2.1.1 To estimate market size using bottom-up approach (demand side)
                               FIGURE 3 MARKET SIZE ESTIMATION METHODOLOGY: BOTTOM-UP APPROACH
           2.2.2 TOP-DOWN APPROACH
                    2.2.2.1 To estimate market size using top-down approach (supply side)
                               FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY: TOP-DOWN APPROACH
                               FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY FOR MATERIAL INFORMATICS THROUGH SUPPLY-SIDE ANALYSIS
    2.3 MARKET BREAKDOWN AND DATA TRIANGULATION 
           FIGURE 6 DATA TRIANGULATION
    2.4 RESEARCH ASSUMPTIONS AND LIMITATIONS 
           2.4.1 RESEARCH ASSUMPTIONS
                    FIGURE 7 ASSUMPTIONS OF RESEARCH STUDY
           2.4.2 RESEARCH LIMITATIONS
    2.5 PARAMETERS CONSIDERED TO ANALYZE IMPACT OF RECESSION ON MATERIAL INFORMATICS MARKET 
    2.6 RISK ASSESSMENT 
           FIGURE 8 RISK ASSESSMENT OF RESEARCH STUDY
 
3 EXECUTIVE SUMMARY (Page No. - 42)
           FIGURE 9 ELEMENTS TO ACCOUNT FOR LARGEST SHARE OF MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, FROM 2023 TO 2028
           FIGURE 10 MATERIALS SCIENCE SEGMENT TO EXHIBIT HIGHEST CAGR DURING FORECAST PERIOD
           FIGURE 11 ASIA PACIFIC TO RECORD HIGHEST CAGR IN GLOBAL MATERIAL INFORMATICS MARKET DURING 2023−2028
    3.1 ANALYSIS OF RECESSION IMPACT ON MATERIAL INFORMATICS MARKET 
           FIGURE 12 GDP GROWTH PROJECTION TILL 2023 FOR MAJOR ECONOMIES (% CHANGE)
           FIGURE 13 IMPACT OF RECESSION ON MATERIAL INFORMATICS MARKET GROWTH
 
4 PREMIUM INSIGHTS (Page No. - 46)
    4.1 ATTRACTIVE OPPORTUNITIES FOR PLAYERS IN MATERIAL INFORMATICS MARKET 
           FIGURE 14 ASIA PACIFIC TO BE LUCRATIVE MARKET FOR MATERIAL INFORMATICS
    4.2 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE 
           FIGURE 15 ELEMENTS SEGMENT HELD LARGEST SHARE OF MATERIAL INFORMATICS MARKET IN 2022
    4.3 MATERIAL INFORMATICS MARKET, BY APPLICATION 
           FIGURE 16 CHEMICAL & PHARMACEUTICAL SEGMENT TO CAPTURE LARGEST MARKET SIZE FROM 2023 T0 2028
    4.4 MATERIAL INFORMATICS MARKET, BY COUNTRY 
           FIGURE 17 CHINA TO REGISTER HIGHEST CAGR IN GLOBAL MARKET DURING FORECAST PERIOD
 
5 MARKET OVERVIEW (Page No. - 48)
    5.1 INTRODUCTION 
    5.2 MARKET DYNAMICS 
           FIGURE 18 MATERIAL INFORMATICS MARKET: DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES
           5.2.1 DRIVERS
                    5.2.1.1 Rising use of AI in materials science
                    5.2.1.2 Government initiatives to support materials research and development
                    5.2.1.3 Rising demand for materials informatics techniques to accelerate materials and manufacturing innovations
                               FIGURE 19 IMPACT ANALYSIS OF DRIVERS
           5.2.2 RESTRAINTS
                    5.2.2.1 Shortage of technical resources
                    5.2.2.2 High costs of maintenance and services
                               FIGURE 20 IMPACT ANALYSIS OF RESTRAINTS
           5.2.3 OPPORTUNITIES
                    5.2.3.1 Growing popularity of cloud-based data analytics platforms to analyze materials
                    5.2.3.2 Ease of building material databases using digital technologies
                               FIGURE 21 IMPACT ANALYSIS OF OPPORTUNITIES
           5.2.4 CHALLENGES
                    5.2.4.1 Lack of prescribed standards and regulations
                    5.2.4.2 Interoperability issues
                               FIGURE 22 IMPACT ANALYSIS OF CHALLENGES FOR MATERIAL INFORMATICS MARKET
    5.3 VALUE CHAIN ANALYSIS 
           FIGURE 23 VALUE CHAIN ANALYSIS OF MATERIAL INFORMATICS MARKET
    5.4 ECOSYSTEM ANALYSIS 
           FIGURE 24 ECOSYSTEM MAP
           TABLE 1 LIST OF KEY COMPANIES AND THEIR ROLE IN MATERIAL INFORMATICS ECOSYSTEM
    5.5 PRICING ANALYSIS 
           5.5.1 PRICING ANALYSIS OF PLATFORMS OFFERED BY KEY PLAYERS
                    FIGURE 25 ASP OF MATERIAL INFORMATICS PLATFORMS OFFERED BY MAT3RA BASED ON ACCOUNT MEMBERS
                    TABLE 2 AVERAGE SUBSCRIPTION PRICE FOR MATERIAL INFORMATICS PLATFORMS PROVIDED BY MAT3RA BASED ON ACCOUNT MEMBERS (USD)
           5.5.2 ASP TREND
    5.6 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS 
           FIGURE 26 REVENUE SHIFT AND NEW REVENUE POCKETS FOR PLAYERS IN MATERIAL INFORMATICS MARKET
    5.7 TECHNOLOGY ANALYSIS 
           5.7.1 ARTIFICIAL INTELLIGENCE/MACHINE LEARNING
           5.7.2 POLYMER INFORMATICS
           5.7.3 CHEMICAL INFORMATICS
           5.7.4 BIOINFORMATICS
    5.8 PORTER’S FIVE FORCES ANALYSIS 
           TABLE 3 MATERIAL INFORMATICS MARKET: PORTER’S FIVE FORCES ANALYSIS
    5.9 KEY STAKEHOLDERS AND BUYING CRITERIA 
           5.9.1 KEY STAKEHOLDERS IN BUYING PROCESS
                    FIGURE 27 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS
                    TABLE 4 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP 3 APPLICATIONS (%)
           5.9.2 BUYING CRITERIA
                    FIGURE 28 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
                    TABLE 5 KEY BUYING CRITERIA FOR TOP 3 APPLICATIONS
    5.10 CASE STUDY ANALYSIS 
           TABLE 6 USE OF AI-DRIVEN PLATFORM OFFERED BY CITRINE INFORMATICS TO PROCESS CARBON FIBERS
           TABLE 7 ADOPTION OF TECHNOLOGY PLATFORM OFFERED BY EXPONENTIAL TECHNOLOGIES TO OPTIMIZE PRODUCTION WORKFLOW AND REDUCE LEAD TIMES AND DEVELOPMENT COSTS
           TABLE 8 IMPLEMENTATION OF MIP OFFERED BY MATERIALSZONE TO OVERCOME CHALLENGES WHILE PRODUCING INNOVATIVE PLASTICS
    5.11 PATENT ANALYSIS 
           FIGURE 29 TOP 10 COMPANIES/INSTITUTIONS WITH HIGHEST NUMBER OF PATENT APPLICATIONS IN LAST 10 YEARS
           TABLE 9 TOP 20 PATENT OWNERS (US) IN LAST 10 YEARS
           FIGURE 30 NUMBER OF PATENTS GRANTED PER YEAR FROM 2012 TO 2022
           TABLE 10 LIST OF KEY PATENTS IN MATERIAL INFORMATICS MARKET, 2019–2022
    5.12 KEY CONFERENCES AND EVENTS (2023) 
           TABLE 11 MATERIAL INFORMATICS MARKET: DETAILED LIST OF CONFERENCES AND EVENTS
    5.13 REGULATORY LANDSCAPE 
           5.13.1 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS RELATED TO MATERIAL INFORMATICS MARKET
                    TABLE 12 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
                    TABLE 13 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
           5.13.2 STANDARDS AND REGULATIONS RELATED TO MATERIAL INFORMATICS SOLUTIONS
                    TABLE 14 SAFETY STANDARDS FOR MATERIAL INFORMATICS MARKET
 
6 PROMINENT TECHNIQUES IN MATERIAL INFORMATICS (Page No. - 69)
    6.1 INTRODUCTION 
           FIGURE 31 PROMINENT TECHNIQUES IMPLEMENTED IN MATERIAL INFORMATICS
    6.2 STATISTICAL ANALYSIS 
    6.3 GENETIC ALGORITHM 
    6.4 OTHERS 
 
7 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE (Page No. - 72)
    7.1 INTRODUCTION 
           FIGURE 32 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE
           FIGURE 33 ELEMENTS TO LEAD MATERIAL INFORMATICS MARKET FROM 2023 TO 2028
           TABLE 15 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 16 MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
    7.2 ELEMENTS 
           7.2.1 RAPID DEVELOPMENT, DISCOVERY, AND ANALYSIS BENEFITS OFFERED BY MATERIAL INFORMATICS SOFTWARE TO FUEL DEMAND
                    TABLE 17 ELEMENTS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 18 ELEMENTS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                    FIGURE 34 NORTH AMERICA TO HOLD LARGEST MARKET SHARE FOR ELEMENTS SEGMENT IN 2028
                    TABLE 19 ELEMENTS: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 20 ELEMENTS: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.3 CHEMICALS 
           7.3.1 STRONG FOCUS ON DISCOVERY, DEVELOPMENT, AND OPTIMIZATION OF CHEMICAL COMPOUNDS TO PROPEL GROWTH
                    FIGURE 35 CHEMICAL & PHARMACEUTICAL APPLICATIONS TO HOLD LARGEST SHARE OF CHEMICALS SEGMENT IN MATERIAL INFORMATICS MARKET IN 2028
                    TABLE 21 CHEMICALS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
                    TABLE 22 CHEMICALS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
                    TABLE 23 CHEMICALS: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 24 CHEMICALS: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    7.4 OTHERS 
           TABLE 25 OTHERS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 26 OTHERS: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           TABLE 27 OTHERS: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 28 OTHERS: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
 
8 MATERIAL INFORMATICS MARKET, BY APPLICATION (Page No. - 82)
    8.1 INTRODUCTION 
           FIGURE 36 MATERIAL INFORMATICS MARKET, BY APPLICATION
           FIGURE 37 CHEMICAL & PHARMACEUTICAL SEGMENT TO LEAD MATERIAL INFORMATICS MARKET, BY APPLICATION, DURING FORECAST PERIOD
           TABLE 29 MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 30 MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
    8.2 CHEMICAL & PHARMACEUTICAL 
           8.2.1 INCLINATION OF CHEMICAL & PHARMACEUTICAL COMPANIES TOWARD R&D TO FUEL MARKET GROWTH
                    TABLE 31 CHEMICAL & PHARMACEUTICAL: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 32 CHEMICAL & PHARMACEUTICAL: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
                    TABLE 33 CHEMICAL & PHARMACEUTICAL: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 34 CHEMICAL & PHARMACEUTICAL: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.3 MATERIALS SCIENCE 
           8.3.1 ADOPTION OF MATERIALS MODELING TECHNIQUES FOR RAPID DISCOVERY AND DEVELOPMENT OF MATERIALS TO DRIVE MARKET
                    FIGURE 38 ELEMENTS SEGMENT TO LEAD MATERIALS SCIENCE MARKET THROUGHOUT FORECAST PERIOD
                    TABLE 35 MATERIALS SCIENCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 36 MATERIALS SCIENCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
                    TABLE 37 MATERIALS SCIENCE: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 38 MATERIALS SCIENCE: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.4 MANUFACTURING 
           8.4.1 IMPLEMENTATION OF MATERIAL INFORMATICS SOFTWARE IN MANUFACTURING AUTOMOBILES AND ELECTRONIC PRODUCTS TO STIMULATE GROWTH
                    TABLE 39 MANUFACTURING: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 40 MANUFACTURING: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
                    FIGURE 39 NORTH AMERICA TO HOLD LARGEST MARKET SHARE FOR MANUFACTURING APPLICATIONS THROUGHOUT FORECAST PERIOD
                    TABLE 41 MANUFACTURING: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 42 MANUFACTURING: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.5 FOOD SCIENCE 
           8.5.1 NEED FOR EFFICIENT ANALYSIS OF FOOD CONSTITUENTS THROUGH STATISTICAL QUALITY CONTROL METHODS TO BOOST MARKET
                    TABLE 43 FOOD SCIENCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 44 FOOD SCIENCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
                    TABLE 45 FOOD SCIENCE: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 46 FOOD SCIENCE: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.6 ENERGY 
           8.6.1 INCREASED DEMAND FOR SUSTAINABLE ENERGY PRODUCTION AND STORAGE TO SUPPORT MATERIAL INFORMATICS MARKET GROWTH
                    TABLE 47 ENERGY: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 48 ENERGY: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
                    TABLE 49 ENERGY: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
                    TABLE 50 ENERGY: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    8.7 OTHERS 
           TABLE 51 OTHERS: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 52 OTHERS: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           TABLE 53 OTHERS: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 54 OTHERS: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
 
9 MATERIAL INFORMATICS MARKET, BY REGION (Page No. - 98)
    9.1 INTRODUCTION 
           FIGURE 40 MATERIAL INFORMATICS MARKET IN CHINA TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
           TABLE 55 MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 56 MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
    9.2 NORTH AMERICA 
           FIGURE 41 NORTH AMERICA: SNAPSHOT OF MATERIAL INFORMATICS MARKET
           TABLE 57 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 58 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           TABLE 59 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 60 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           TABLE 61 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
           TABLE 62 NORTH AMERICA: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.2.1 US
                    9.2.1.1 Focus of automobile and aerospace companies on developing lightweight materials to boost market
                               TABLE 63 US: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 64 US: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.2.2 CANADA
                    9.2.2.1 Government regulations to reduce pollution and plastic waste to create opportunities for material informatics software providers
                               TABLE 65 CANADA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 66 CANADA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.2.3 MEXICO
                    9.2.3.1 Efficient manufacturing base to create opportunities for providers of material informatics software
                               TABLE 67 MEXICO: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 68 MEXICO: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
    9.3 EUROPE 
           FIGURE 42 EUROPE: SNAPSHOT OF MATERIAL INFORMATICS MARKET
           TABLE 69 EUROPE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 70 EUROPE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           TABLE 71 EUROPE: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 72 EUROPE: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           TABLE 73 EUROPE: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
           TABLE 74 EUROPE: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.3.1 UK
                    9.3.1.1 Significant demand for material informatics from aerospace component manufacturers to support market growth
                               TABLE 75 UK: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 76 UK: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.3.2 GERMANY
                    9.3.2.1 High adoption of material informatics software by automakers to propel market
                               TABLE 77 GERMANY: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 78 GERMANY: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.3.3 FRANCE
                    9.3.3.1 Booming additive manufacturing industry to facilitate use of material informatics platforms
                               TABLE 79 FRANCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 80 FRANCE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.3.4 REST OF EUROPE
                    TABLE 81 REST OF EUROPE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 82 REST OF EUROPE: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
    9.4 ASIA PACIFIC 
           FIGURE 43 ASIA PACIFIC: SNAPSHOT OF MATERIAL INFORMATICS MARKET
           TABLE 83 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 84 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           TABLE 85 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 86 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           TABLE 87 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2019–2022 (USD MILLION)
           TABLE 88 ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY COUNTRY, 2023–2028 (USD MILLION)
           9.4.1 CHINA
                    9.4.1.1 Booming automotive, pharmaceutical, and food industries to stimulate demand for material informatics software
                               TABLE 89 CHINA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 90 CHINA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.4.2 JAPAN
                    9.4.2.1 Presence of leading electronics manufacturing companies to fuel demand for material informatics software
                               TABLE 91 JAPAN: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 92 JAPAN: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.4.3 SOUTH KOREA
                    9.4.3.1 Thriving electronics & semiconductor industry to drive market
                               TABLE 93 SOUTH KOREA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 94 SOUTH KOREA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.4.4 REST OF ASIA PACIFIC
                    TABLE 95 REST OF ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                    TABLE 96 REST OF ASIA PACIFIC: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
    9.5 ROW 
           TABLE 97 ROW: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
           TABLE 98 ROW: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           TABLE 99 ROW: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2019–2022 (USD MILLION)
           TABLE 100 ROW: MATERIAL INFORMATICS MARKET, BY APPLICATION, 2023–2028 (USD MILLION)
           TABLE 101 ROW: MATERIAL INFORMATICS MARKET, BY REGION, 2019–2022 (USD MILLION)
           TABLE 102 ROW: MATERIAL INFORMATICS MARKET, BY REGION, 2023–2028 (USD MILLION)
           9.5.1 MIDDLE EAST & AFRICA
                    9.5.1.1 Potential opportunities from food science and aerospace applications to stimulate growth
                               TABLE 103 MIDDLE EAST & AFRICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 104 MIDDLE EAST & AFRICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
           9.5.2 SOUTH AMERICA
                    9.5.2.1 Growing requirements from food processing companies to lead to high demand for material informatics
                               TABLE 105 SOUTH AMERICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2019–2022 (USD MILLION)
                               TABLE 106 SOUTH AMERICA: MATERIAL INFORMATICS MARKET, BY MATERIAL TYPE, 2023–2028 (USD MILLION)
 
10 COMPETITIVE LANDSCAPE (Page No. - 129)
     10.1 OVERVIEW 
     10.2 STRATEGIES ADOPTED BY KEY PLAYERS 
             TABLE 107 OVERVIEW OF STRATEGIES FOLLOWED BY LEADING COMPANIES IN MATERIAL INFORMATICS MARKET
     10.3 FIVE-YEAR REVENUE ANALYSIS OF TOP PLAYERS 
             FIGURE 44 REVENUE ANALYSIS OF TOP PLAYERS, 2017–2021
     10.4 MARKET SHARE ANALYSIS 
             TABLE 108 MARKET SHARE ANALYSIS (2022)
     10.5 COMPETITIVE EVALUATION QUADRANT 
             10.5.1 STAR PLAYERS
             10.5.2 EMERGING LEADERS
             10.5.3 PERVASIVE PLAYERS
             10.5.4 PARTICIPANTS
                        FIGURE 45 MATERIAL INFORMATICS MARKET (GLOBAL) COMPANY EVALUATION QUADRANT, 2022
     10.6 SMALL AND MEDIUM-SIZED ENTERPRISES (SMES) EVALUATION QUADRANT 
             10.6.1 PROGRESSIVE COMPANIES
             10.6.2 RESPONSIVE COMPANIES
             10.6.3 DYNAMIC COMPANIES
             10.6.4 STARTING BLOCKS
                        FIGURE 46 MATERIAL INFORMATICS MARKET (GLOBAL) SMES EVALUATION QUADRANT, 2022
     10.7 MATERIAL INFORMATICS MARKET: COMPANY FOOTPRINT 
             TABLE 109 OVERALL COMPANY FOOTPRINT
             TABLE 110 COMPANY MATERIAL TYPE FOOTPRINT
             TABLE 111 COMPANY APPLICATION FOOTPRINT
             TABLE 112 COMPANY REGION FOOTPRINT
     10.8 COMPETITIVE BENCHMARKING 
             TABLE 113 MATERIAL INFORMATICS MARKET: LIST OF KEY STARTUPS/SMES
             TABLE 114 MATERIAL INFORMATICS MARKET: COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
     10.9 COMPETITIVE SCENARIO 
             TABLE 115 MATERIAL INFORMATICS MARKET: PRODUCT LAUNCHES, 2020−2022
             TABLE 116 MATERIAL INFORMATICS MARKET: DEALS, 2021–2022
             TABLE 117 MATERIAL INFORMATICS MARKET: OTHERS, 2020–2021
 
11 COMPANY PROFILES (Page No. - 144)
(Business Overview, Products Offered, Recent Developments, MnM view, Key strengths/Right to win, Strategic choices, Weakness/competitive threats) *  
     11.1 KEY PLAYERS 
             11.1.1 SCHRÖDINGER
                        TABLE 118 SCHRÖDINGER: BUSINESS OVERVIEW
                        FIGURE 47 SCHRÖDINGER: COMPANY SNAPSHOT
                        TABLE 119 SCHRÖDINGER: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 120 SCHRÖDINGER: DEALS
             11.1.2 DASSAULT SYSTÈMES
                        TABLE 121 DASSAULT SYSTÈMES: BUSINESS OVERVIEW
                        FIGURE 48 DASSAULT SYSTÈMES: COMPANY SNAPSHOT
                        TABLE 122 DASSAULT SYSTÈMES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             11.1.3 MAT3RA
                        TABLE 123 MAT3RA: BUSINESS OVERVIEW
                        TABLE 124 MAT3RA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 125 MAT3RA: OTHERS
             11.1.4 CITRINE INFORMATICS
                        TABLE 126 CITRINE INFORMATICS: BUSINESS OVERVIEW
                        TABLE 127 CITRINE INFORMATICS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 128 CITRINE INFORMATICS: PRODUCT LAUNCHES
                        TABLE 129 CITRINE INFORMATICS: DEALS
                        TABLE 130 CITRINE INFORMATICS: OTHERS
             11.1.5 PHASESHIFT TECHNOLOGIES
                        TABLE 131 PHASESHIFT TECHNOLOGIES: BUSINESS OVERVIEW
                        TABLE 132 PHASESHIFT TECHNOLOGIES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 133 PHASESHIFT TECHNOLOGIES: OTHERS
             11.1.6 AI MATERIA
                        TABLE 134 AI MATERIA: BUSINESS OVERVIEW
                        TABLE 135 AI MATERIA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             11.1.7 HITACHI HIGH-TECH
                        TABLE 136 HITACHI HIGH-TECH: BUSINESS OVERVIEW
                        TABLE 137 HITACHI HIGH-TECH: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             11.1.8 KEBOTIX
                        TABLE 138 KEBOTIX: BUSINESS OVERVIEW
                        TABLE 139 KEBOTIX: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 140 KEBOTIX: DEALS
                        TABLE 141 KEBOTIX: OTHERS
             11.1.9 MATERIALSZONE
                        TABLE 142 MATERIALSZONE: BUSINESS OVERVIEW
                        TABLE 143 MATERIALSZONE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
             11.1.10 MATERIALS DESIGN
                        TABLE 144 MATERIALS DESIGN: BUSINESS OVERVIEW
                        TABLE 145 MATERIALS DESIGN: PRODUCTS/SOLUTIONS/SERVICES OFFERED
                        TABLE 146 MATERIALS DESIGN: PRODUCT LAUNCHES
     11.2 OTHER PLAYERS 
             11.2.1 ALLOYED
                        TABLE 147 ALLOYED: COMPANY OVERVIEW
             11.2.2 EXPONENTIAL TECHNOLOGIES (XT)
                        TABLE 148 EXPONENTIAL TECHNOLOGIES: COMPANY OVERVIEW
             11.2.3 INNOPHORE
                        TABLE 149 INNOPHORE: COMPANY OVERVIEW
             11.2.4 INTELLEGENS
                        TABLE 150 INTELLEGENS: COMPANY OVERVIEW
             11.2.5 KITWARE
                        TABLE 151 KITWARE: COMPANY OVERVIEW
             11.2.6 NOBLE.AI
                        TABLE 152 NOBLE.AI: COMPANY OVERVIEW
             11.2.7 ONTOCHEM
                        TABLE 153 ONTOCHEM: COMPANY OVERVIEW
             11.2.8 PERKINELMER INFORMATICS
                        TABLE 154 PERKINELMER INFORMATICS: COMPANY OVERVIEW
             11.2.9 POLYMERIZE
                        TABLE 155 POLYMERIZE: COMPANY OVERVIEW
             11.2.10 PREFERRED COMPUTATIONAL CHEMISTRY
                        TABLE 156 PREFERRED COMPUTATIONAL CHEMISTRY: COMPANY OVERVIEW
             11.2.11 QUESTEK INNOVATIONS
                        TABLE 157 QUESTEK INNOVATIONS: COMPANY OVERVIEW
             11.2.12 SIMREKA
                        TABLE 158 SIMREKA: COMPANY OVERVIEW
             11.2.13 TILDE MATERIALS INFORMATICS
                        TABLE 159 TILDE MATERIALS INFORMATICS: COMPANY OVERVIEW
             11.2.14 TOXTRACK
                        TABLE 160 TOXTRACK: COMPANY OVERVIEW
             11.2.15 UNCOUNTABLE
                        TABLE 161 UNCOUNTABLE: COMPANY OVERVIEW
*Details on Business Overview, Products Offered, Recent Developments, MnM view, Key strengths/Right to win, Strategic choices, Weakness/competitive threats might not be captured in case of unlisted companies.  
 
12 ADJACENT MARKET (Page No. - 183)
     12.1 ARTIFICIAL INTELLIGENCE (AI) IN MANUFACTURING MARKET 
     12.2 INTRODUCTION 
             FIGURE 49 MACHINE LEARNING SEGMENT TO HOLD LARGEST SHARE OF AI IN MANUFACTURING MARKET BETWEEN 2022 AND 2027
             TABLE 162 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2018–2021 (USD MILLION)
             TABLE 163 AI IN MANUFACTURING MARKET, BY TECHNOLOGY, 2022–2027 (USD MILLION)
     12.3 MACHINE LEARNING 
             12.3.1 ADVANCEMENTS IN DEEP LEARNING AND SUPERVISED LEARNING TECHNOLOGIES TO DRIVE MARKET
                        TABLE 164 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 2018–2021 (USD MILLION)
                        TABLE 165 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY TYPE, 2022–2027 (USD MILLION)
                        TABLE 166 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2018–2021 (USD MILLION)
                        TABLE 167 AI IN MANUFACTURING MARKET FOR MACHINE LEARNING, BY APPLICATION, 2022–2027 (USD MILLION)
             12.3.2 DEEP LEARNING
                        12.3.2.1 Rapid adoption of robotics in manufacturing industry to drive demand for deep learning
             12.3.3 SUPERVISED LEARNING
                        12.3.3.1 Image recognition and predictive analytics applications to play major role in market growth
             12.3.4 REINFORCEMENT LEARNING
                        12.3.4.1 Integration of reinforcement learning with ML algorithms for maximization of system performance to support market growth
             12.3.5 UNSUPERVISED LEARNING
                        12.3.5.1 Ability of unsupervised learning to discover hidden data patterns or groupings in large datasets to accelerate demand
             12.3.6 OTHERS
     12.4 NATURAL LANGUAGE PROCESSING 
             12.4.1 DEVELOPMENTS IN NATURAL LANGUAGE PROCESSING FOR REAL-TIME TRANSLATION TO FUEL DEMAND
                        TABLE 168 AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2018–2021 (USD MILLION)
                        TABLE 169 AI IN MANUFACTURING MARKET FOR NATURAL LANGUAGE PROCESSING, BY APPLICATION, 2022–2027 (USD MILLION)
     12.5 CONTEXT-AWARE COMPUTING 
             12.5.1 RISING USE OF CONTEXT-AWARE COMPUTING TO PROVIDE TASK-RELEVANT INFORMATION AND SERVICES TO USERS TO SUPPORT MARKET GROWTH
                        TABLE 170 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2018–2021 (USD MILLION)
                        TABLE 171 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY TYPE, 2022–2027 (USD MILLION)
                        TABLE 172 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2018–2021 (USD MILLION)
                        TABLE 173 AI IN MANUFACTURING MARKET FOR CONTEXT-AWARE COMPUTING, BY APPLICATION, 2022–2027 (USD MILLION)
     12.6 COMPUTER VISION 
             12.6.1 NEED TO ANALYZE AND PROVIDE VISUAL FEEDBACK ON 3D OBJECTS, GEOMETRIC SHAPES, VOLUMES, AND PATTERNS TO BOOST DEMAND FOR COMPUTER VISION TECHNOLOGY
                        TABLE 174 AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2018–2021 (USD MILLION)
                        TABLE 175 AI IN MANUFACTURING MARKET FOR COMPUTER VISION, BY APPLICATION, 2022–2027 (USD MILLION)
 
13 APPENDIX (Page No. - 195)
     13.1 INSIGHTS FROM INDUSTRY EXPERTS 
     13.2 DISCUSSION GUIDE 
     13.3 KNOWLEDGESTORE: MARKETSANDMARKETS’ SUBSCRIPTION PORTAL 
     13.4 CUSTOMIZATION OPTIONS 
     13.5 RELATED REPORTS 
     13.6 AUTHOR DETAILS 
 

The study involves four major activities for estimating the size of the material informatics market. Exhaustive secondary research has been conducted to collect information related to the market. The next step has been the validation of these findings, assumptions, and sizing with the industry experts across the value chain through primary research. Both top-down and bottom-up approaches have been employed to estimate the overall size of the material informatics market. After that, market breakdown and data triangulation procedures have been used to determine the extent of different segments and subsegments of the market.

Secondary Research

Secondary sources referred to for this research study included corporate filings (such as annual reports, investor presentations, and financial statements); trade, business, and professional associations; white papers; certified publications; articles by recognized authors; directories; and databases. The secondary data was collected and analyzed to arrive at the overall market size, which was further validated through primary research.

Primary Research

Extensive primary research has been conducted after gaining knowledge about the current scenario of the material informatics market through secondary research. Several primary interviews have been conducted with experts from both demand and supply sides across four major regions—North America, Europe, Asia Pacific, and RoW. This primary data has been collected through questionnaires, e-mails, and telephonic interviews.

Material Informatics Market Size, and Share

To know about the assumptions considered for the study, download the pdf brochure

Market Size Estimation

In the complete market engineering process, both top-down and bottom-up approaches have been implemented, along with several data triangulation methods, to estimate and validate the size of the material informatics market and other dependent submarkets listed in this report.

  • The key players in the industry and markets have been identified through extensive secondary research.
  • Both the supply chain of the industry and the market size, in terms of value, have been determined through primary and secondary research.
  • All percentage shares, splits, and breakdowns have been determined using secondary sources and verified through primary sources.

Data Triangulation

After arriving at the overall market size, the total market has been split into several segments. To complete the overall market engineering process and arrive at exact statistics for all segments, the market breakdown and data triangulation procedures have been employed wherever applicable. The data has been triangulated by studying various factors and trends from both the demand and supply sides. The market has also been validated using both top-down and bottom-up approaches.

Study Objectives:

  • To describe and forecast the material informatics market size based on type and industry in terms of value.
  • To describe and forecast the market size of various segments for four regions—North America, Asia Pacific, Europe, and Rest of the World (RoW), in terms of value.
  • To provide detailed information regarding the drivers, restraints, opportunities, and challenges influencing the growth of the market
  • To study the material informatics market value chain and analyze the current and future market trends.
  • To strategically analyze the micromarkets1 with respect to individual growth trends, prospects, and their contributions to the overall market
  • To analyze opportunities in the market for stakeholders by identifying high-growth segments in the market
  • To strategically profile the key players and comprehensively analyze their market positions in terms of their rankings and core competencies2, along with a detailed competitive landscape for the market leaders.
  • To analyze the strategic approaches adopted by players in the material informatics market, such as product launches and developments, acquisitions, collaborations, contracts, expansions, and partnerships.

Available Customizations:

With the given market data, MarketsandMarkets offers customizations according to the company's specific needs. The following customization options are available for this report:

Company Information

  • Detailed analysis and profiling of additional five market players

How material discovery, material development and material optimization in is going to impact the material informatics market?

Material discovery, development, and optimization are driving the growth of the material informatics market. Here are a few ways in which these processes are impacting the market:

Accelerating the discovery of new materials: By leveraging machine learning and data analytics, material informatics can help scientists and researchers quickly identify promising new materials. This can accelerate the discovery process and help bring new materials to market faster.

Improving material performance: Material informatics can be used to optimize the performance of existing materials by identifying new processing techniques or additives that can improve their properties. This can lead to more efficient and cost-effective materials that can be used in a wide range of applications.

Enabling new applications: By discovering and developing new materials, material informatics can enable new applications and technologies. For example, new materials with unique properties may enable the development of more efficient batteries, lightweight composites, or more durable coatings.

Reducing R&D costs: Material informatics can also help reduce the time and cost of R&D by enabling more efficient experimentation and data analysis. This can help companies bring new materials and products to market faster and more cost-effectively.

Outlook and Growth Material Informatics and Material discovery Market

The material informatics and material discovery markets are expected to see significant growth in the coming years. Here are a few factors that are driving this growth:

Increasing demand for advanced materials: With the rise of new technologies such as electric vehicles, renewable energy, and 5G networks, there is a growing need for advanced materials with unique properties. Material informatics and discovery can help identify and develop these materials more quickly and efficiently.

Technological advancements: The development of machine learning, artificial intelligence, and big data analytics has enabled researchers to analyse and model vast amounts of data in a way that was not possible before. This has greatly accelerated the material discovery process and opened up new possibilities for material informatics.

Cost and time savings: Material informatics can help reduce the time and cost of R&D by enabling more efficient experimentation and data analysis. This can help companies bring new materials and products to market faster and more cost-effectively.

Increasing government investment: Many governments around the world are investing in material informatics and discovery research, recognizing its potential to drive economic growth and innovation.

Growing demand for sustainability: There is a growing demand for sustainable materials and processes, and material informatics can help identify and develop more environmentally friendly materials and production techniques.

Some futuristic growth use-cases of material development market

Energy storage: The demand for more efficient and longer-lasting energy storage solutions is driving the development of advanced materials such as solid-state batteries and flow batteries.

Lightweight materials: The automotive and aerospace industries are seeking lightweight materials that can reduce fuel consumption and emissions while maintaining strength and durability. Advanced composites and alloys, as well as new materials such as graphene and carbon nanotubes, are being developed for these applications.

Smart materials: Materials that can sense, respond, and adapt to their environment are being developed for a range of applications, from self-healing coatings to shape-memory alloys for use in robotics and medical devices.

Wearables and medical devices: Advanced materials such as biocompatible polymers and nanomaterials are being developed for use in wearable and implantable medical devices, as well as for drug delivery systems.

Sustainable materials: With the growing demand for sustainability, the development of materials from renewable resources and recycled materials is becoming increasingly important. Materials such as bioplastics, recycled plastics, and bio-based materials are being developed for a range of applications.

Growth Opportunities and Key Challenges for material optimization in the Future

Growth Opportunities:

Advanced analytics and machine learning: Machine learning and advanced analytics can help researchers analyse vast amounts of data to identify patterns and optimize materials more efficiently.

Additive manufacturing: Additive manufacturing techniques such as 3D printing can enable the production of complex geometries and structures, which can enhance the properties of materials.

Emerging materials: The development of new and emerging materials, such as graphene, carbon nanotubes, and other nanomaterials, offers new opportunities for material optimization and enhanced properties.

Sustainable materials: The growing demand for sustainable materials and production techniques is driving the development of new materials and optimization strategies that are environmentally friendly.

Cross-industry collaboration: Collaboration between industries can help accelerate the development and optimization of materials by leveraging knowledge and expertise from different fields.

Key Challenges:

Data availability: The quality and quantity of data available for material optimization can be a challenge, as data is often dispersed across different sources and may not be standardized.

Cost and time: The cost and time required for material optimization can be significant, especially for complex materials and processes.

Intellectual property: The protection of intellectual property can be a challenge in the material optimization market, as new materials and processes may be subject to patent protection.

Regulatory challenges: The development and optimization of materials can be subject to regulatory challenges, especially in highly regulated industries such as pharmaceuticals and medical devices.

Material complexity: The complexity of materials and their properties can make optimization challenging, as the relationship between the properties and the underlying structure of the material can be difficult to understand and model.

Top Companies in Material discovery

The material discovery market is comprised of several companies developing and commercializing new technologies and approaches for the discovery and optimization of materials. Some of the top companies in this field include Schrödinger, Citrine Informatics, Materials Design, Inc., Novomer, Nanomechanics, Inc., and Rigaku Corporation. These companies use a range of computational, analytical, and experimental methods to accelerate the discovery and design of new materials, and to optimize their properties for a wide range of applications.

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Report Code
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Published ON
Feb, 2023
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