PUBLISHER: TechNavio | PRODUCT CODE: 1915602
PUBLISHER: TechNavio | PRODUCT CODE: 1915602
Global Generative AI In Material Science Market 2025-2029
The global generative AI in material science market is forecasted to grow by USD 1705.3 mn during 2024-2029, accelerating at a CAGR of 27.9% during the forecast period. The report on the global generative AI in material science market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.
The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by intensifying industrial demand for next-generation materials, global sustainability mandate and quest for green materials, technological convergence of advanced computation, data proliferation, and algorithmic sophistication.
The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.
| Market Scope | |
|---|---|
| Base Year | 2025 |
| End Year | 2029 |
| Series Year | 2025-2029 |
| Growth Momentum | Accelerate |
| YOY 2025 | 24.5% |
| CAGR | 27.9% |
| Incremental Value | $1705.3 mn |
Technavio's global generative AI in material science market is segmented as below:
By Type
- Materials discovery and design
- Predictive modeling and simulation
- Process optimization
By Deployment
- Cloud based
- On premises
- Hybrid
By Application
- Pharmaceuticals and chemicals
- Automotive and aerospace
- Electronics and semiconductors
- Energy storage and conversion
- Others
Geography
- North America
- US
- Canada
- Mexico
- Europe
- Germany
- UK
- France
- Italy
- The Netherlands
- Spain
- APAC
- China
- Japan
- India
- South Korea
- Australia
- Indonesia
- South America
- Brazil
- Argentina
- Colombia
- Middle East and Africa
- UAE
- South Africa
- Turkey
- Rest of World (ROW)
This study identifies the integration with autonomous laboratories to create closed-loop discovery platforms as one of the prime reasons driving the global generative AI in material science market growth during the next few years. Also, development of domain-specific foundation models for materials science and shift towards multi-objective and manufacturability-aware design will lead to sizable demand in the market.
The report on the global generative AI in material science market covers the following areas:
- Global generative AI in material science market sizing
- Global generative AI in material science market forecast
- Global generative AI in material science market industry analysis
The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global generative AI in material science market vendors that include Aionics Inc., Arzeda Corp., BASF SE, Citrine Informatics Inc., Dassault Systemes SE, DeepMaterials LLC, Google LLC, IBM Corp., Kebotix Inc., Mat3ra Inc., MaterialsZone Ltd., Microsoft Corp., NVIDIA Corp., Optibrium, Orbital Materials Inc., Phaseshift Inc., Quantum Generative Materials LLC, sandboxAQ, Schrodinger Inc.. Also, the global generative AI in material science market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.
The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.
Table of Contents
1 Executive Summary
- 1.1 Market overview
- Executive Summary - Chart on Market Overview
- Executive Summary - Data Table on Market Overview
- Executive Summary - Chart on Global Market Characteristics
- Executive Summary - Chart on Market by Geography
- Executive Summary - Chart on Market Segmentation by Type
- Executive Summary - Chart on Market Segmentation by Deployment
- Executive Summary - Chart on Market Segmentation by Application
- Executive Summary - Chart on Incremental Growth
- Executive Summary - Data Table on Incremental Growth
- Executive Summary - Chart on Company Market Positioning
2 Technavio Analysis
- 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
- 2.2 Criticality of inputs and Factors of differentiation
- 2.3 Factors of disruption
- 2.4 Impact of drivers and challenges
3 Market Landscape
- 3.1 Market ecosystem
- 3.2 Market characteristics
- 3.3 Value chain analysis
4 Market Sizing
- 4.1 Market definition
- 4.2 Market segment analysis
- Market segments
- 4.3 Market size 2024
- 4.4 Market outlook: Forecast for 2024-2029
5 Historic Market Size
- 5.1 Global Generative AI In Material Science Market 2019 - 2023
- Historic Market Size - Data Table on Global Generative AI In Material Science Market 2019 - 2023 ($ million)
- 5.2 Type segment analysis 2019 - 2023
- Historic Market Size - Type Segment 2019 - 2023 ($ million)
- 5.3 Deployment segment analysis 2019 - 2023
- Historic Market Size - Deployment Segment 2019 - 2023 ($ million)
- 5.4 Application segment analysis 2019 - 2023
- Historic Market Size - Application Segment 2019 - 2023 ($ million)
- 5.5 Geography segment analysis 2019 - 2023
- Historic Market Size - Geography Segment 2019 - 2023 ($ million)
- 5.6 Country segment analysis 2019 - 2023
- Historic Market Size - Country Segment 2019 - 2023 ($ million)
6 Five Forces Analysis
- 6.1 Five forces summary
- Five forces analysis - Comparison between 2024 and 2029
- 6.2 Bargaining power of buyers
- Bargaining power of buyers - Impact of key factors 2024 and 2029
- 6.3 Bargaining power of suppliers
- Bargaining power of suppliers - Impact of key factors in 2024 and 2029
- 6.4 Threat of new entrants
- Threat of new entrants - Impact of key factors in 2024 and 2029
- 6.5 Threat of substitutes
- Threat of substitutes - Impact of key factors in 2024 and 2029
- 6.6 Threat of rivalry
- Threat of rivalry - Impact of key factors in 2024 and 2029
- 6.7 Market condition
7 Market Segmentation by Type
- 7.1 Market segments
- 7.2 Comparison by Type
- 7.3 Materials discovery and design - Market size and forecast 2024-2029
- 7.4 Predictive modeling and simulation - Market size and forecast 2024-2029
- 7.5 Process optimization - Market size and forecast 2024-2029
- 7.6 Market opportunity by Type
- Market opportunity by Type ($ million)
8 Market Segmentation by Deployment
- 8.1 Market segments
- 8.2 Comparison by Deployment
- 8.3 Cloud based - Market size and forecast 2024-2029
- 8.4 On premises - Market size and forecast 2024-2029
- 8.5 Hybrid - Market size and forecast 2024-2029
- 8.6 Market opportunity by Deployment
- Market opportunity by Deployment ($ million)
9 Market Segmentation by Application
- 9.1 Market segments
- 9.2 Comparison by Application
- 9.3 Pharmaceuticals and chemicals - Market size and forecast 2024-2029
- 9.4 Automotive and aerospace - Market size and forecast 2024-2029
- 9.5 Electronics and semiconductors - Market size and forecast 2024-2029
- 9.6 Energy storage and conversion - Market size and forecast 2024-2029
- 9.7 Others - Market size and forecast 2024-2029
- 9.8 Market opportunity by Application
- Market opportunity by Application ($ million)
10 Customer Landscape
- 10.1 Customer landscape overview
- Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
11 Geographic Landscape
- 11.1 Geographic segmentation
- 11.2 Geographic comparison
- 11.3 North America - Market size and forecast 2024-2029
- 11.3.1 US - Market size and forecast 2024-2029
- 11.3.2 Canada - Market size and forecast 2024-2029
- 11.3.3 Mexico - Market size and forecast 2024-2029
- 11.4 Europe - Market size and forecast 2024-2029
- 11.4.1 Germany - Market size and forecast 2024-2029
- 11.4.2 UK - Market size and forecast 2024-2029
- 11.4.3 France - Market size and forecast 2024-2029
- 11.4.4 Italy - Market size and forecast 2024-2029
- 11.4.5 The Netherlands - Market size and forecast 2024-2029
- 11.4.6 Spain - Market size and forecast 2024-2029
- 11.5 APAC - Market size and forecast 2024-2029
- 11.5.1 China - Market size and forecast 2024-2029
- 11.5.2 Japan - Market size and forecast 2024-2029
- 11.5.3 India - Market size and forecast 2024-2029
- 11.5.4 South Korea - Market size and forecast 2024-2029
- 11.5.5 Australia - Market size and forecast 2024-2029
- 11.5.6 Indonesia - Market size and forecast 2024-2029
- 11.6 South America - Market size and forecast 2024-2029
- 11.6.1 Brazil - Market size and forecast 2024-2029
- 11.6.2 Argentina - Market size and forecast 2024-2029
- 11.6.3 Colombia - Market size and forecast 2024-2029
- 11.7 Middle East and Africa - Market size and forecast 2024-2029
- 11.7.1 Saudi Arabia - Market size and forecast 2024-2029
- 11.7.2 UAE - Market size and forecast 2024-2029
- 11.7.3 South Africa - Market size and forecast 2024-2029
- 11.7.4 Israel - Market size and forecast 2024-2029
- 11.7.5 Turkey - Market size and forecast 2024-2029
- 11.8 Market opportunity by geography
- Market opportunity by geography ($ million)
- Data Tables on Market opportunity by geography ($ million)
12 Drivers, Challenges, and Opportunity
- 12.1 Market drivers
- Intensifying industrial demand for next-generation materials
- Global sustainability mandate and quest for green materials
- Technological convergence of advanced computation, data proliferation, and algorithmic sophistication
- 12.2 Market challenges
- Data scarcity and accessibility
- Chasm of synthesizability and experimental validation
- High implementation costs and scarcity of interdisciplinary talent
- 12.3 Impact of drivers and challenges
- Impact of drivers and challenges in 2024 and 2029
- 12.4 Market opportunities
- Integration with autonomous laboratories to create closed-loop discovery platforms
- Development of domain-specific foundation models for materials science
- Shift towards multi-objective and manufacturability-aware design
13 Competitive Landscape
- 13.1 Overview
- 13.2 Competitive Landscape
- Overview on criticality of inputs and factors of differentiation
- 13.3 Landscape disruption
- Overview on factors of disruption
- 13.4 Industry risks
- Impact of key risks on business
14 Competitive Analysis
- 14.1 Companies profiled
- Companies covered
- 14.2 Company ranking index
- Company ranking index
- 14.3 Market positioning of companies
- Matrix on companies position and classification
- 14.4 Arzeda Corp.
- Arzeda Corp. - Overview
- Arzeda Corp. - Product / Service
- Arzeda Corp. - Key offerings
- SWOT
- 14.5 BASF SE
- BASF SE - Overview
- BASF SE - Business segments
- BASF SE - Key news
- BASF SE - Key offerings
- BASF SE - Segment focus
- SWOT
- 14.6 Citrine Informatics Inc.
- Citrine Informatics Inc. - Overview
- Citrine Informatics Inc. - Product / Service
- Citrine Informatics Inc. - Key offerings
- SWOT
- 14.7 Dassault Systemes SE
- Dassault Systemes SE - Overview
- Dassault Systemes SE - Business segments
- Dassault Systemes SE - Key news
- Dassault Systemes SE - Key offerings
- Dassault Systemes SE - Segment focus
- SWOT
- 14.8 DeepMaterials LLC
- DeepMaterials LLC - Overview
- DeepMaterials LLC - Product / Service
- DeepMaterials LLC - Key offerings
- SWOT
- 14.9 Google LLC
- Google LLC - Overview
- Google LLC - Product / Service
- Google LLC - Key offerings
- SWOT
- 14.10 IBM Corp.
- IBM Corp. - Overview
- IBM Corp. - Business segments
- IBM Corp. - Key news
- IBM Corp. - Key offerings
- IBM Corp. - Segment focus
- SWOT
- 14.11 Mat3ra Inc.
- Mat3ra Inc. - Overview
- Mat3ra Inc. - Product / Service
- Mat3ra Inc. - Key offerings
- SWOT
- 14.12 MaterialsZone Ltd.
- MaterialsZone Ltd. - Overview
- MaterialsZone Ltd. - Product / Service
- MaterialsZone Ltd. - Key offerings
- SWOT
- 14.13 Microsoft Corp.
- Microsoft Corp. - Overview
- Microsoft Corp. - Business segments
- Microsoft Corp. - Key news
- Microsoft Corp. - Key offerings
- Microsoft Corp. - Segment focus
- SWOT
- 14.14 NVIDIA Corp.
- NVIDIA Corp. - Overview
- NVIDIA Corp. - Business segments
- NVIDIA Corp. - Key news
- NVIDIA Corp. - Key offerings
- NVIDIA Corp. - Segment focus
- SWOT
- 14.15 Optibrium
- Optibrium - Overview
- Optibrium - Product / Service
- Optibrium - Key offerings
- SWOT
- 14.16 Orbital Materials Inc.
- Orbital Materials Inc. - Overview
- Orbital Materials Inc. - Product / Service
- Orbital Materials Inc. - Key offerings
- SWOT
- 14.17 sandboxAQ
- sandboxAQ - Overview
- sandboxAQ - Product / Service
- sandboxAQ - Key offerings
- SWOT
- 14.18 Schrodinger Inc.
- Schrodinger Inc. - Overview
- Schrodinger Inc. - Business segments
- Schrodinger Inc. - Key offerings
- Schrodinger Inc. - Segment focus
- SWOT
15 Appendix
- 15.1 Scope of the report
- Market definition
- Objectives
- Notes and caveats
- 15.2 Inclusions and exclusions checklist
- Inclusions checklist
- Exclusions checklist
- 15.3 Currency conversion rates for US$
- Currency conversion rates for US$
- 15.4 Research methodology
- Research methodology
- 15.5 Data procurement
- Information sources
- 15.6 Data validation
- Data validation
- 15.7 Validation techniques employed for market sizing
- Validation techniques employed for market sizing
- 15.8 Data synthesis
- Data synthesis
- 15.9 360 degree market analysis
- 360 degree market analysis
- 15.10 List of abbreviations
- List of abbreviations
