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AI in Chemical & Material Informatics Market by Technology, Application, Component, Deployment, End User - Global Forecast to 2030- Product Image
AI in Chemical & Material Informatics Market by Technology, Application, Component, Deployment, End User - Global Forecast to 2030- Product Image
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AI in Chemical & Material Informatics Market by Technology, Application, Component, Deployment, End User - Global Forecast to 2030

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  • 183 Pages
  • May 2025
  • Region: Global
  • 360iResearch™
  • ID: 5924744
UP TO OFF until Dec 31st 2025
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The AI in Chemical & Material Informatics Market grew from USD 12.08 billion in 2024 to USD 17.10 billion in 2025. It is expected to continue growing at a CAGR of 39.65%, reaching USD 89.66 billion by 2030.

Unveiling the AI revolution in chemistry and materials

The convergence of artificial intelligence and the realms of chemistry and materials science is redefining discovery and innovation. Today’s laboratories are supported by algorithms that can predict molecular properties before they are ever synthesized, while digital platforms enable researchers to navigate vast chemical spaces with unprecedented speed. This executive summary opens the door to an evolving landscape where AI-driven workflows are not only accelerating timelines but also opening new frontiers in sustainable materials, advanced pharmaceuticals, and industrial processes.

As a foundation for executives and decision-makers, this introduction outlines key drivers behind AI adoption: the explosive growth of computational power, the maturation of machine learning architectures, and the critical need for predictive insights in an era of tightening regulatory and environmental demands. It establishes a framework for understanding how data-centric approaches are transforming conventional R&D, while also setting the stage for deeper discussion of market shifts, policy impacts, and strategic imperatives.

Pivotal paradigm shifts redefining R&D workflows

The last two years have witnessed transformative shifts that are reshaping research and production workflows. Deep learning models have graduated from pilot projects to routine tools for molecular property prediction, while generative adversarial networks are crafting novel compounds with tailored functionalities. Simultaneously, computer vision systems embedded in analytical instruments are delivering real-time quality control, reducing human error and accelerating throughput.

Data analytics has matured beyond descriptive dashboards to embrace predictive and prescriptive solutions, guiding scientists toward optimal reaction conditions and material formulations. Machine learning frameworks-from supervised approaches that fine-tune classification of spectral data to reinforcement learning agents that autonomously optimize process variables-are becoming integral to lab automation. These paradigm shifts are not isolated; they converge to form digital twins that replicate complex chemical processes, enabling iterative refinement in silico before costly scale-up.

Navigating the ripple effects of US tariff policy

The introduction of new tariff measures by the United States in early 2025 has had a cascading effect on global supply chains and innovation ecosystems. Increased duties on imported processors, sensors, and specialized reagents have prompted research institutions and industrial players to reconsider procurement strategies. In some cases, lead times have expanded as companies diversify sourcing to mitigate tariff risk, while domestic manufacturing capacity is under pressure to scale rapidly to fill gaps.

Simultaneously, tariffs have elevated the importance of software and service-oriented solutions that can be deployed locally without incurring higher hardware costs. This recalibration is driving heightened investment in edge computing architectures and cloud-agnostic platforms. From an innovation standpoint, the tariff landscape is spurring regional collaboration agreements and public-private partnerships aimed at insulating critical research initiatives from policy volatility.

Dissecting market segments to pinpoint growth drivers

A granular look at technology segmentation reveals that data analytics stands at the forefront of near-term adoption. Descriptive analytics remains essential for legacy process monitoring, but predictive models are rapidly gaining traction, enabling teams to forecast material properties and reaction yields. Prescriptive solutions are emerging to recommend corrective actions, closing the loop between insights and execution. Deep learning architectures are evolving in parallel: convolutional neural networks excel at interpreting complex imaging data from electron microscopy, while generative adversarial networks are crafting virtual compound libraries for high-throughput screening, and recurrent neural networks are tracking time-series data from continuous flow reactors.

Meanwhile, machine learning practices continue to diversify. Reinforcement learning agents are autonomously tuning reaction parameters for energy efficiency, while supervised algorithms classify spectral signatures for contaminant detection. Unsupervised techniques are uncovering latent patterns in multi-omics and materials characterization datasets, driving hypothesis generation for novel catalysts and polymers.

Across applications, drug discovery workflows leverage AI for both lead identification and wide-scale molecular screening, reducing time-to-hit from months to weeks. Materials design platforms integrate physics-informed models with machine learning to propose advanced alloys and composites. Process optimization focuses on energy efficiency and reaction optimization, yielding greener production pathways. Quality control systems harness computer vision and modeling tools to detect deviations in real time, while supply chain management solutions deploy predictive analytics to ensure raw material availability and traceability.

Component segmentation underscores that hardware platforms-comprising high-performance processors, advanced sensors, and scalable storage-remain foundational. Yet the services ecosystem is flourishing, with consulting experts guiding AI strategy, implementation teams deploying end-to-end solutions, and training providers upskilling workforces in emerging techniques. Software offerings span data management frameworks for harmonizing disparate datasets, sophisticated modeling tools for simulation and property prediction, and visualization solutions that translate complex outputs into actionable insights.

Deployment strategies are diversifying to meet security and latency demands. Cloud-native platforms offer elastic scalability for compute-intensive tasks, while edge environments bring analytics closer to experimental setups. Hybrid architectures blend on-premise infrastructure with cloud resources, facilitating data sovereignty and cost optimization. On-premise installations continue to serve highly regulated environments requiring strict control over sensitive research data.

The end-user landscape spans academic research institutions advancing basic science, chemical manufacturers streamlining formulation processes, materials science labs engineering next-generation composites, and pharmaceutical companies accelerating drug pipelines. Each segment taps into AI capabilities to address unique challenges, from exploratory research to large-scale production.

Decoding regional strengths and market momentum

The Americas have solidified leadership through robust funding for AI research and a vibrant ecosystem of startups and established corporations. North American institutions are pioneering open data initiatives that feed machine learning models with diverse chemical and materials datasets. Meanwhile, Latin American organizations are leveraging AI to optimize resource-constrained production environments, expanding capacity in specialty chemicals and agrochemicals.

Europe, the Middle East & Africa present a mosaic of regulatory landscapes and innovation priorities. The European Union’s emphasis on sustainability and circular economy principles is driving AI investments in recyclable materials and eco-friendly processes. In the Middle East, sovereign wealth funds are channeling capital into advanced materials research, while Africa’s emerging research hubs are exploring AI-enabled mineral processing and bio-based polymers.

Asia-Pacific continues to scale rapidly, supported by national initiatives in China, Japan, South Korea, and India. These programs emphasize self-sufficiency in semiconductors and advanced materials, with AI at the core of R&D modernization. Collaborative consortia are forging cross-border partnerships that accelerate technology transfer and standardize data protocols, amplifying the region’s influence on global supply chains.

Unveiling strategies of leading market players

Industry leaders are consolidating their positions through strategic alliances, targeted acquisitions, and platform expansions. Major technology firms are integrating proprietary AI models with specialized simulation engines to offer end-to-end informatics platforms tailored to chemical and material challenges. Biotech and pharmaceutical corporations are partnering with AI specialists to embed machine learning into their discovery pipelines, while materials conglomerates are acquiring startups focused on generative design and digital twin technologies.

Service providers are enhancing their consulting portfolios to include AI readiness assessments and governance frameworks. Software vendors are launching modular suites that allow seamless integration with existing laboratory information management systems, ensuring compatibility with legacy investments. Hardware manufacturers are collaborating with cloud providers to deliver turnkey solutions that bundle high-performance computing with pre-validated AI toolchains, accelerating deployment timelines for enterprise clients.

Strategic imperatives to lead in AI-driven innovation

Leaders aiming to maintain a competitive edge should prioritize hybrid infrastructure models that balance scalability with data security. Cultivating cross-disciplinary teams that bridge chemistry, materials science, and machine learning expertise will yield richer insights and faster innovation cycles. Establishing robust data governance policies is essential to ensure model reliability and regulatory compliance, especially when handling sensitive proprietary or patient-related data.

Sustainability goals must be embedded into AI strategies from the outset. Organizations should pilot low-carbon computing options and track lifecycle impacts of materials suggested by generative models. Forging partnerships with specialized AI startups can introduce agile experimentation capabilities, while joint academic collaborations provide access to cutting-edge research and fresh talent. Finally, investing in continuous learning programs will ensure that teams remain proficient in evolving algorithms and best practices, securing long-term resilience.

Robust methodology ensuring actionable insights

Our research methodology combined qualitative and quantitative techniques to ensure comprehensive insights. Primary research involved in-depth interviews with C-level executives, R&D heads, and AI specialists across chemical, materials, and pharmaceutical companies. This was complemented by surveys that captured operational challenges and technology adoption timelines. Secondary research drew on peer-reviewed journals, patent databases, regulatory filings, and white papers to create a robust data foundation.

Data synthesis followed a triangulation approach, cross-validating findings from multiple sources to mitigate bias and ensure accuracy. Key metrics were analyzed through thematic coding, while expert panels reviewed preliminary conclusions to refine strategic implications. Quality control measures included consistency checks, source verifications, and periodic revisions to incorporate late-breaking developments in AI and global trade policies.

Charting a forward path in AI-driven discovery

The AI-driven transformation of chemical and material informatics is not a distant prospect but an unfolding reality. Stakeholders who embrace advanced analytics, machine learning, and hybrid computing will unlock efficiencies, accelerate discovery, and foster sustainable innovations. While policy shifts and tariff landscapes introduce complexities, they also create opportunities for local capacity building and service-centric business models.

Moving forward requires a balanced approach: harnessing the power of AI to generate predictive insights, while safeguarding data integrity and aligning with environmental objectives. By integrating the segmentation, regional dynamics, and competitive strategies outlined here, organizations can chart a course toward sustained growth and scientific breakthroughs.

Market Segmentation & Coverage

This research report categorizes to forecast the revenues and analyze trends in each of the following sub-segmentations:
  • Technology
    • Computer Vision
    • Data Analytics
      • Descriptive Analytics
      • Predictive Analytics
      • Prescriptive Analytics
    • Deep Learning
      • Convolutional Neural Network
      • Generative Adversarial Network
      • Recurrent Neural Network
    • Machine Learning
      • Reinforcement Learning
      • Supervised Learning
      • Unsupervised Learning
  • Application
    • Drug Discovery
      • Lead Identification
      • Molecular Screening
    • Materials Design
    • Process Optimization
      • Energy Efficiency
      • Reaction Optimization
    • Quality Control
    • Supply Chain Management
  • Component
    • Hardware
      • Processors
      • Sensors
      • Storage Systems
    • Services
      • Consulting
      • Implementation
      • Training
    • Software
      • Data Management
      • Modeling Tools
      • Visualization Tools
  • Deployment
    • Cloud
    • Edge
    • Hybrid
    • On Premise
  • End User
    • Academic Research
    • Chemicals
    • Material Science
    • Pharmaceuticals
This research report categorizes to forecast the revenues and analyze trends in each of the following sub-regions:
  • Americas
    • United States
      • California
      • Texas
      • New York
      • Florida
      • Illinois
      • Pennsylvania
      • Ohio
    • Canada
    • Mexico
    • Brazil
    • Argentina
  • Europe, Middle East & Africa
    • United Kingdom
    • Germany
    • France
    • Russia
    • Italy
    • Spain
    • United Arab Emirates
    • Saudi Arabia
    • South Africa
    • Denmark
    • Netherlands
    • Qatar
    • Finland
    • Sweden
    • Nigeria
    • Egypt
    • Turkey
    • Israel
    • Norway
    • Poland
    • Switzerland
  • Asia-Pacific
    • China
    • India
    • Japan
    • Australia
    • South Korea
    • Indonesia
    • Thailand
    • Philippines
    • Malaysia
    • Singapore
    • Vietnam
    • Taiwan
This research report categorizes to delves into recent significant developments and analyze trends in each of the following companies:
  • Accenture plc
  • International Business Machines Corporation
  • Thermo Fisher Scientific Inc.
  • Dassault Systèmes SE
  • BASF SE
  • NVIDIA Corporation
  • SAP SE
  • Schrödinger, Inc.
  • RELX plc
  • Dow Inc

 

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Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Market Sizing & Forecasting
5. Market Dynamics
6. Market Insights
6.1. Porter’s Five Forces Analysis
6.2. PESTLE Analysis
7. Cumulative Impact of United States Tariffs 2025
8. AI in Chemical & Material Informatics Market, by Technology
8.1. Introduction
8.2. Computer Vision
8.3. Data Analytics
8.3.1. Descriptive Analytics
8.3.2. Predictive Analytics
8.3.3. Prescriptive Analytics
8.4. Deep Learning
8.4.1. Convolutional Neural Network
8.4.2. Generative Adversarial Network
8.4.3. Recurrent Neural Network
8.5. Machine Learning
8.5.1. Reinforcement Learning
8.5.2. Supervised Learning
8.5.3. Unsupervised Learning
9. AI in Chemical & Material Informatics Market, by Application
9.1. Introduction
9.2. Drug Discovery
9.2.1. Lead Identification
9.2.2. Molecular Screening
9.3. Materials Design
9.4. Process Optimization
9.4.1. Energy Efficiency
9.4.2. Reaction Optimization
9.5. Quality Control
9.6. Supply Chain Management
10. AI in Chemical & Material Informatics Market, by Component
10.1. Introduction
10.2. Hardware
10.2.1. Processors
10.2.2. Sensors
10.2.3. Storage Systems
10.3. Services
10.3.1. Consulting
10.3.2. Implementation
10.3.3. Training
10.4. Software
10.4.1. Data Management
10.4.2. Modeling Tools
10.4.3. Visualization Tools
11. AI in Chemical & Material Informatics Market, by Deployment
11.1. Introduction
11.2. Cloud
11.3. Edge
11.4. Hybrid
11.5. On Premise
12. AI in Chemical & Material Informatics Market, by End User
12.1. Introduction
12.2. Academic Research
12.3. Chemicals
12.4. Material Science
12.5. Pharmaceuticals
13. Americas AI in Chemical & Material Informatics Market
13.1. Introduction
13.2. United States
13.3. Canada
13.4. Mexico
13.5. Brazil
13.6. Argentina
14. Europe, Middle East & Africa AI in Chemical & Material Informatics Market
14.1. Introduction
14.2. United Kingdom
14.3. Germany
14.4. France
14.5. Russia
14.6. Italy
14.7. Spain
14.8. United Arab Emirates
14.9. Saudi Arabia
14.10. South Africa
14.11. Denmark
14.12. Netherlands
14.13. Qatar
14.14. Finland
14.15. Sweden
14.16. Nigeria
14.17. Egypt
14.18. Turkey
14.19. Israel
14.20. Norway
14.21. Poland
14.22. Switzerland
15. Asia-Pacific AI in Chemical & Material Informatics Market
15.1. Introduction
15.2. China
15.3. India
15.4. Japan
15.5. Australia
15.6. South Korea
15.7. Indonesia
15.8. Thailand
15.9. Philippines
15.10. Malaysia
15.11. Singapore
15.12. Vietnam
15.13. Taiwan
16. Competitive Landscape
16.1. Market Share Analysis, 2024
16.2. FPNV Positioning Matrix, 2024
16.3. Competitive Analysis
16.3.1. Accenture plc
16.3.2. International Business Machines Corporation
16.3.3. Thermo Fisher Scientific Inc.
16.3.4. Dassault Systèmes SE
16.3.5. BASF SE
16.3.6. NVIDIA Corporation
16.3.7. SAP SE
16.3.8. Schrödinger, Inc.
16.3.9. RELX plc
16.3.10. Dow Inc
17. ResearchAI
18. ResearchStatistics
19. ResearchContacts
20. ResearchArticles
21. Appendix
List of Figures
FIGURE 1. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET MULTI-CURRENCY
FIGURE 2. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET MULTI-LANGUAGE
FIGURE 3. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET RESEARCH PROCESS
FIGURE 4. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 5. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY REGION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 6. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 7. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2024 VS 2030 (%)
FIGURE 8. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 9. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2024 VS 2030 (%)
FIGURE 10. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 11. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2024 VS 2030 (%)
FIGURE 12. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 13. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2024 VS 2030 (%)
FIGURE 14. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 15. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2024 VS 2030 (%)
FIGURE 16. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 17. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 18. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 19. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY STATE, 2024 VS 2030 (%)
FIGURE 20. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY STATE, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 23. ASIA-PACIFIC AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2030 (%)
FIGURE 24. ASIA-PACIFIC AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2024 VS 2025 VS 2030 (USD MILLION)
FIGURE 25. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SHARE, BY KEY PLAYER, 2024
FIGURE 26. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET, FPNV POSITIONING MATRIX, 2024
List of Tables
TABLE 1. AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SEGMENTATION & COVERAGE
TABLE 2. UNITED STATES DOLLAR EXCHANGE RATE, 2018-2024
TABLE 3. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, 2018-2030 (USD MILLION)
TABLE 4. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY REGION, 2018-2030 (USD MILLION)
TABLE 5. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 6. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 7. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPUTER VISION, BY REGION, 2018-2030 (USD MILLION)
TABLE 8. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 9. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 10. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PREDICTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 11. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PRESCRIPTIVE ANALYTICS, BY REGION, 2018-2030 (USD MILLION)
TABLE 12. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 13. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 14. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY CONVOLUTIONAL NEURAL NETWORK, BY REGION, 2018-2030 (USD MILLION)
TABLE 15. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY GENERATIVE ADVERSARIAL NETWORK, BY REGION, 2018-2030 (USD MILLION)
TABLE 16. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY RECURRENT NEURAL NETWORK, BY REGION, 2018-2030 (USD MILLION)
TABLE 17. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 18. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 19. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY REINFORCEMENT LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 20. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 21. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY UNSUPERVISED LEARNING, BY REGION, 2018-2030 (USD MILLION)
TABLE 22. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 23. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 24. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, BY REGION, 2018-2030 (USD MILLION)
TABLE 25. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY LEAD IDENTIFICATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 26. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MOLECULAR SCREENING, BY REGION, 2018-2030 (USD MILLION)
TABLE 27. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 28. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MATERIALS DESIGN, BY REGION, 2018-2030 (USD MILLION)
TABLE 29. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 30. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY ENERGY EFFICIENCY, BY REGION, 2018-2030 (USD MILLION)
TABLE 31. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY REACTION OPTIMIZATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 32. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 33. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY QUALITY CONTROL, BY REGION, 2018-2030 (USD MILLION)
TABLE 34. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SUPPLY CHAIN MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 35. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 36. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 37. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESSORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 38. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SENSORS, BY REGION, 2018-2030 (USD MILLION)
TABLE 39. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY STORAGE SYSTEMS, BY REGION, 2018-2030 (USD MILLION)
TABLE 40. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 41. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, BY REGION, 2018-2030 (USD MILLION)
TABLE 42. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY CONSULTING, BY REGION, 2018-2030 (USD MILLION)
TABLE 43. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY IMPLEMENTATION, BY REGION, 2018-2030 (USD MILLION)
TABLE 44. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TRAINING, BY REGION, 2018-2030 (USD MILLION)
TABLE 45. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 46. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, BY REGION, 2018-2030 (USD MILLION)
TABLE 47. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA MANAGEMENT, BY REGION, 2018-2030 (USD MILLION)
TABLE 48. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MODELING TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 49. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY VISUALIZATION TOOLS, BY REGION, 2018-2030 (USD MILLION)
TABLE 50. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 51. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 52. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY CLOUD, BY REGION, 2018-2030 (USD MILLION)
TABLE 53. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY EDGE, BY REGION, 2018-2030 (USD MILLION)
TABLE 54. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HYBRID, BY REGION, 2018-2030 (USD MILLION)
TABLE 55. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY ON PREMISE, BY REGION, 2018-2030 (USD MILLION)
TABLE 56. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 57. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY ACADEMIC RESEARCH, BY REGION, 2018-2030 (USD MILLION)
TABLE 58. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY CHEMICALS, BY REGION, 2018-2030 (USD MILLION)
TABLE 59. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MATERIAL SCIENCE, BY REGION, 2018-2030 (USD MILLION)
TABLE 60. GLOBAL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PHARMACEUTICALS, BY REGION, 2018-2030 (USD MILLION)
TABLE 61. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 62. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 63. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 64. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 65. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 66. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 67. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 68. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 69. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 70. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 71. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 72. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 73. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 74. AMERICAS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 75. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 76. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 77. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 78. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 79. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 80. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 81. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 82. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 83. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 84. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 85. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 86. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 87. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 88. UNITED STATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY STATE, 2018-2030 (USD MILLION)
TABLE 89. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 90. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 91. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 92. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 93. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 94. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 95. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 96. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 97. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 98. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 99. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 100. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 101. CANADA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 102. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 103. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 104. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 105. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 106. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 107. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 108. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 109. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 110. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 111. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 112. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 113. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 114. MEXICO AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 115. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 116. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 117. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 118. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 119. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 120. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 121. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 122. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 123. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 124. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 125. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 126. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 127. BRAZIL AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 128. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 129. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 130. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 131. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 132. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 133. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 134. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 135. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 136. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 137. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 138. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 139. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 140. ARGENTINA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 141. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 142. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 143. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 144. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 145. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 146. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 147. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 148. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 149. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 150. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 151. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 152. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 153. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 154. EUROPE, MIDDLE EAST & AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COUNTRY, 2018-2030 (USD MILLION)
TABLE 155. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 156. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 157. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 158. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 159. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 160. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 161. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 162. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 163. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 164. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 165. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 166. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 167. UNITED KINGDOM AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 168. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 169. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 170. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 171. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 172. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 173. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 174. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 175. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 176. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 177. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 178. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 179. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 180. GERMANY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 181. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 182. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 183. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 184. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 185. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 186. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 187. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 188. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 189. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 190. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 191. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 192. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 193. FRANCE AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 194. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 195. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 196. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 197. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 198. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 199. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 200. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 201. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 202. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 203. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 204. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 205. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 206. RUSSIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 207. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 208. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 209. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 210. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 211. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 212. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 213. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 214. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 215. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 216. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 217. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 218. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 219. ITALY AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 220. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 221. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 222. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 223. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 224. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 225. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 226. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 227. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 228. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 229. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 230. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 231. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 232. SPAIN AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 233. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 234. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 235. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 236. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 237. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 238. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 239. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 240. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 241. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 242. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 243. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 244. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 245. UNITED ARAB EMIRATES AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 246. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 247. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 248. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 249. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 250. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 251. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 252. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 253. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 254. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 255. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 256. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 257. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 258. SAUDI ARABIA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 259. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 260. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 261. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 262. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 263. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 264. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 265. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 266. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 267. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 268. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 269. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 270. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 271. SOUTH AFRICA AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 272. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 273. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 274. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 275. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY MACHINE LEARNING, 2018-2030 (USD MILLION)
TABLE 276. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY APPLICATION, 2018-2030 (USD MILLION)
TABLE 277. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DRUG DISCOVERY, 2018-2030 (USD MILLION)
TABLE 278. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY PROCESS OPTIMIZATION, 2018-2030 (USD MILLION)
TABLE 279. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY COMPONENT, 2018-2030 (USD MILLION)
TABLE 280. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY HARDWARE, 2018-2030 (USD MILLION)
TABLE 281. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SERVICES, 2018-2030 (USD MILLION)
TABLE 282. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY SOFTWARE, 2018-2030 (USD MILLION)
TABLE 283. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEPLOYMENT, 2018-2030 (USD MILLION)
TABLE 284. DENMARK AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY END USER, 2018-2030 (USD MILLION)
TABLE 285. NETHERLANDS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY TECHNOLOGY, 2018-2030 (USD MILLION)
TABLE 286. NETHERLANDS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DATA ANALYTICS, 2018-2030 (USD MILLION)
TABLE 287. NETHERLANDS AI IN CHEMICAL & MATERIAL INFORMATICS MARKET SIZE, BY DEEP LEARNING, 2018-2030 (USD MILLION)
TABLE 288. NETHERLAND

Samples

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Companies Mentioned

The companies profiled in this AI in Chemical & Material Informatics market report include:
  • Accenture plc
  • International Business Machines Corporation
  • Thermo Fisher Scientific Inc.
  • Dassault Systèmes SE
  • BASF SE
  • NVIDIA Corporation
  • SAP SE
  • Schrödinger, Inc.
  • RELX plc
  • Dow Inc

Table Information

Report AttributeDetails
No. of Pages183
PublishedMay 2025
Forecast Period2025 - 2030
Estimated Market Value ( USD ) in 2025 $ 17.1 Billion
Forecasted Market Value ( USD ) by 2030 $ 89.66 Billion
Compound Annual Growth Rate39.6%
Regions CoveredGlobal
No. of Companies Mentioned11

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