The Generative Artificial Intelligence (AI) In Material Science Market Overview 2025 report reveals that the market size has grown significantly over the past few years, with projections indicating further expansion.
What are the Historical Growth Trends in the Generative Artificial Intelligence (AI) In Material Science Market?
The global market for generative artificial intelligence (AI) in material science has seen significant growth recently. It is projected to expand from a market size of $1.26 billion in 2024 to $1.68 billion in 2025. This represents a compound annual growth rate (CAGR) of 33.8%.
What are the 2025 Market Projections: Forecasted Size & Growth Rate for the Generative Artificial Intelligence (AI) In Material Science Industry?
The Generative Artificial Intelligence (AI) In Material Science market is predicted to grow to a value of $5.35 billion in 2029. This growth indicates a compound annual growth rate (CAGR) of 33.6% from its current size.
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What are the Key Growth Drivers Fueling the Generative Artificial Intelligence (AI) In Material Science Market?
The key drivers in the generative artificial intelligence (ai) in material science market are:
•High demand for sustainable materials
•Increased interest in personalized material design
•Growth in private investment into the market
•Rising adoption of biotechnology applications
Global Market Segmentation: Identifying Major Generative Artificial Intelligence (AI) In Material Science Industry Segments
The generative artificial intelligence (AI) in material science market covered in this report is segmented –
1) By Type: Materials Discovery And Design, Predictive Modeling And Simulation, Process Optimization
2) By Deployment: Cloud-Based, On-Premises, Hybrid
3) By Application: Pharmaceuticals And Chemicals, Electronics And Semiconductors, Energy Storage And Conversion, Automotive And Aerospace, Construction And Infrastructure, Consumer Goods, Other Applications
Subsegments:
1) By Materials Discovery and Design: AI-Driven Materials Screening, AI-Based Computational Chemistry, Quantum Materials Design, Material Property Prediction
2) By Predictive Modeling and Simulation: AI-Based Simulation For Material Behavior, Predictive Analytics For Material Performance, Failure Prediction And Reliability Analysis, Thermal And Mechanical Property Simulation
3) By Process Optimization: AI For Manufacturing Process Optimization, Energy Efficiency In Material Processing, AI-Driven Quality Control In Material Production, Supply Chain Optimization For Materials
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What are the emerging Trends Shaping the Future of the Generative Artificial Intelligence (AI) In Material Science Market?
The key trends in the generative artificial intelligence (ai) in material science market are:
•AI-driven predictive analytics is an emerging trend in the generative AI in material science market.
•The development of self-healing materials signifies another trend in the field.
•There's a rising trend of the adoption of generative AI in nanomaterial design.
•The generative AI in material science market is also noticing a shift towards decentralized research networks and integration of AI with additive manufacturing.
Who Are the Top Competitors & Leading Players in the Generative Artificial Intelligence (AI) In Material Science Market?
Major players in the generative artificial intelligence (ai) in material science market are:
• Microsoft Corporation
• Siemens AG
• International Business Machines Corporation (IBM)
• NVIDIA Corporation
• Hexagon AB
• Illumina Inc.
• ANSYS Inc.
• DeepMind Technologies Limited
• Altair Engineering Inc.
• OpenAI
• Schrödinger Inc.
• XtalPi
• Alchemy Insights Inc.
• Citrine Informatics Inc
• QuesTek Innovations LLC
• Materials Zone
• Kebotix Inc.
• Nanotronics Imaging Inc.
• AION Labs
• Exabyte.io
Regional Dominance: Which Area Leads the Global Template Market?
North America was the largest region in the generative artificial intelligence in material science market in 2024
