The U.S. material informatics market size surpassed USD 12.75 billion in 2025 and is predicted to reach around USD 51.58 billion by 2035, registering a CAGR of 15% from 2026 to 2035.The market is observed to expand rapidly due to the integration of advanced technology, such as AI and ML, for rapid discovery and development of new materials.

U.S. Material Informatics Market Scope

The U.S. material informatics market is also observed to grow due to its major focus on R&D in aerospace, electronics, and pharmaceuticals . AI-led optimization, sustainability focus, and growing investments in cloud-based informatics also help to fuel the market's growth. Heavy investments from the regional key players and the government of the region are another vital factor fueling the growth of the market. Higher demand for eco-friendly materials and growing demand for advanced manufacturing processes, such as 3D printing , also fuel the industry's growth.

U.S. Material Informatics Market Share, By Material Type, 2025 (%)

• Elements - The segment dominated the global market, accounting for 28% of the market share in 2025. The segment's growth is primarily propelled by the growing usage of the technology in advanced material discovery and computational analysis.
• Chemicals - The segment holds 52% of the market share and is driven by higher demand for data-driven chemical formulation and optimization processes.
• Others - The segment accounts for 20% of the market share and is driven by additional material categories useful in informatics applications.

U.S. Material Informatics Market Share, By Technology, 2025 (%)

• Machine Learning - The segment led the global market, accounting for 34% of the market share in 2025. The segment's growth is driven by higher adoption of AI-based predictive modeling in material research.
• Deep Tensor - The segment holds 19% of the market share and is driven by higher usage of advanced neural network architectures in material simulation.
• Statistical Analysis - The segment accounts for 24% of the market share and is driven by its growing usage in data interpretation and pattern recognition.

U.S. Material Informatics Market Share, By End Use, 2025 (%)

• Material Science - The segment led the global market with 26% of the market share and is majorly driven by informatics platforms for material discovery and development.
• Chemical and Pharmaceutical - The segment holds 24% of the market share and is driven by growing demand for accelerated compound and formulation research.
• Electronics and Semiconductors - The segment accounts for 18% of the market share and is driven by higher demand for advanced materials for the manufacturing of different types of electronic devices.

Competitive Landscape

• Schrodinger, Inc.- It is a leading technology company involved in drug discovery and material science through a physics-based computational software platform.
• Citrine Informatics- The company is a leading AI-powered platform for data-driven materials and chemical development. It also enables other companies in the industry to reduce development time, costs, and environmental impact.
• Dassault Systemes- The multinational software company provides a 3D experience platform for virtual twin experiences, along with other services such as 3D design, 3D digital mock-up, and Product Lifecycle Management Solutions.
• Exabyte Inc. (Mat3ra)- The cloud-based software company provides an end-to-end material modelling platform helpful for designing new materials and chemicals. The company also focuses on accelerating R&D for industries such as semiconductors, energy, and manufacturing.
• Kebotix, Inc.- The company, founded in 2017, specializes in AI-driven materials discovery. The company also operates a self-driving lab combining ML and AI, along with robotic automation, helpful for discovery, manufacturing, and development of new materials that are sustainable as well.

Recent Development of the Market

In December 2025, Citrine Informatics announced its two new functionalities: Omni and Apex. These are designed to remove bottlenecks, harness differentiated diverse datasets, and empower scientists to achieve faster breakthroughs.

Segments Covered in the Report

By Material Type

• Elements
• Chemicals
• Others

By Technology

• Machine Learning
• Deep Tensor
• Statistical Analysis
• Digital Annealer
• Others

By End Use

• Material Science
• Chemical and Pharmaceutical
• Electronics and Semiconductors
• Automotive
• Aerospace and Defense
• Others