화학 분야 생성형 AI 시장 : 시장 규모, 점유율, 동향 분석 보고서 - 기술별, 용도별, 지역별, 부문 예측(2025-2033년)

Generative AI in Chemical Market Summary

The global generative AI in chemical market size was estimated at USD 1,019.7 million in 2024 and is projected to reach USD 23,346.1 million by 2033, growing at a CAGR of 41.9% from 2025 to 2033. Generative AI (GenAI) is fueling growth in the chemicals and materials sector by enhancing the speed and efficiency of research and development, using advanced machine learning and data analytics.

It accelerates the discovery of new materials, resulting in faster development cycles and lower costs. This technology allows for the swift identification of optimal material formulations, boosting both product performance and sustainability. The rapid progress enabled by GenAI is vital for driving innovation and maintaining a competitive advantage in a rapidly changing chemical market. The expansion of generative AI in chemicals is primarily driven by its power to improve quickly through advanced molecular design and the discovery of new compounds. It is majorly used for accurately predicting molecular structures with specific properties, it reduces dependency on expensive and time-sensitive trial and error methods, allowing for more efficient product development. All these drivers help new chemicals, pharmaceuticals, and materials in reaching the market faster, which is an essential advantage for maintaining competitiveness.

Generative AI in chemical industry is driven by the process optimization in chemical manufacturing by simulating chemical reactions, GenAI helps determine the best parameters to boost energy efficiency, maximize yield, and minimize waste. This supports the industry's growing focus on sustainability and cost-efficiency, enabling the production of higher-value outputs with less environmental impact. Moreover, AI-powered predictive maintenance reduces equipment downtime and operational costs by anticipating failures and allowing for timely, proactive maintenance.

Furthermore, the increasing quantity of chemical data combined with advancements in machine learning algorithms is a significant factor driving the adoption of generative AI in chemical industry. The richness of data within the chemical industry allows for the development of advanced models that focus in creating safer, more sustainable chemicals and improving manufacturing efficiency and innovation. In addition, the rising pressure to adopt environmentally friendly practices and meet regulatory standards is encouraging chemical companies to invest in GenAI solutions to support their sustainability objectives.

Global Generative AI In Chemical Market Report Segmentation

This report forecasts revenue growth on global, regional, and country levels and provides an analysis of the industry trends in each of the sub-segments from 2021 to 2033. For this study, Grand View Research has segmented the global generative AI in chemical market report based on technology, application, and region.

• Technology Outlook (Revenue, USD Million, 2021 - 2033)
• Machine Learning
• Generative Models (GAN & VAE)
• Deep Learning
• Molecular Docking (Quantum Computing)
• GNN
• Others (NLP, Reinforcement Learning)
• Application Outlook (Revenue, USD Million, 2021 - 2033)
• Molecular Design & Drug Discovery
• Materials Discovery
• Reaction Prediction & Retrosynthesis
• Others (Chemical manufacturing, Predictive Analysis)
• Regional Outlook (Revenue, USD Million, 2021 - 2033)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Research Methodology
  • 1.2.1. Information Procurement
• 1.3. Information or Data Analysis
• 1.4. Methodology
• 1.5. Research Scope and Assumptions
• 1.6. Market Formulation & Validation
• 1.7. List of Data Sources

Chapter 2. Executive Summary

• 2.1. Market Outlook
• 2.2. Segment Outlook
• 2.3. Competitive Insights

Chapter 3. Generative AI in Chemical Variables, Trends, & Scope

• 3.1. Market Lineage Outlook
• 3.2. Market Dynamics
  • 3.2.1. Market Driver Analysis
  • 3.2.2. Market Restraint Analysis
  • 3.2.3. Industry Challenge
• 3.3. Generative AI in Chemical Analysis Tools
  • 3.3.1. Industry Analysis - Porter's
    • 3.3.1.1. Bargaining power of the suppliers
    • 3.3.1.2. Bargaining power of the buyers
    • 3.3.1.3. Threats of substitution
    • 3.3.1.4. Threats from new entrants
    • 3.3.1.5. Competitive rivalry
  • 3.3.2. PESTEL Analysis
    • 3.3.2.1. Political landscape
    • 3.3.2.2. Economic and Social landscape
    • 3.3.2.3. Technological landscape

Chapter 4. Generative AI in Chemical Market: Technology Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. Generative AI in Chemical Market: Technology Movement Analysis, 2024 & 2033 (USD Million)
• 4.3. Machine Learning
  • 4.3.1. Machine Learning Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.4. Generative Models (GAN & VAE)
  • 4.4.1. Generative Models (GAN & VAE) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.5. Deep Learning
  • 4.5.1. Deep Learning Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.6. Molecular Docking (Quantum Computing)
  • 4.6.1. Molecular Docking (Quantum Computing) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.7. GNN
  • 4.7.1. GNN Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 4.8. Others (NLP, Reinforcement Learning)
  • 4.8.1. Others (NLP, Reinforcement Learning) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 5. Generative AI in Chemical Market: Application Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. Generative AI in Chemical Market: Application Movement Analysis, 2024 & 2033 (USD Million)
• 5.3. Molecular Design & Drug Discovery
  • 5.3.1. Molecular Design & Drug Discovery Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.4. Materials Discovery
  • 5.4.1. Materials Discovery Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.5. Reaction Prediction & Retrosynthesis
  • 5.5.1. Reaction Prediction & Retrosynthesis Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)
• 5.6. Others (Chemical manufacturing, Predictive Analysis)
  • 5.6.1. Others (Chemical manufacturing, Predictive Analysis) Market Revenue Estimates and Forecasts, 2021 - 2033 (USD Million)

Chapter 6. Generative AI in Chemical Market: Regional Estimates & Trend Analysis

• 6.1. Generative AI in Chemical Market Share, By Region, 2024 & 2033 USD Million
• 6.2. North America
  • 6.2.1. North America Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.2.1.1. North America Generative AI in Chemical Market Estimates and Forecasts, by Country, 2024 - 2033 (USD Million)
    • 6.2.1.2. North America Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.2.1.3. North America Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.2.2. U.S.
    • 6.2.2.1. U.S. Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.2.2.2. U.S. Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.2.2.3. U.S. Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.2.3. Canada
    • 6.2.3.1. Canada Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.2.3.2. Canada Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.2.4. Mexico
    • 6.2.4.1. Mexico Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.2.4.2. Mexico Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
• 6.3. Europe
  • 6.3.1. Europe Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.3.1.1. Europe Generative AI in Chemical Market Estimates and Forecasts, by Country, 2024 - 2033 (USD Million)
    • 6.3.1.2. Europe Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.3.1.3. Europe Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.3.2. UK
    • 6.3.2.1. UK Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.3.2.2. UK Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.3.3. Germany
    • 6.3.3.1. Germany Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.3.3.2. Germany Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.3.4. France
    • 6.3.4.1. France Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.3.4.2. France Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
• 6.4. Asia Pacific
  • 6.4.1. Asia Pacific Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.4.1.1. Asia Pacific Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.1.2. Asia Pacific Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.4.2. China
    • 6.4.2.1. China Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.4.2.2. China Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.2.3. China Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.4.3. Japan
    • 6.4.3.1. Japan Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.3.2. Japan Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.4.4. India
    • 6.4.4.1. India Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.4.2. India Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.4.5. South Korea
    • 6.4.5.1. South Korea Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.5.2. South Korea Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.4.6. Australia
    • 6.4.6.1. Australia Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.4.6.2. Australia Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
• 6.5. Latin America
  • 6.5.1. Latin America Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.5.1.1. Latin America Generative AI in Chemical Market Estimates and Forecasts, by Country, 2024 - 2033 (USD Million)
    • 6.5.1.2. Latin America Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.5.1.3. Latin America Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.5.2. Brazil
    • 6.5.2.1. Brazil Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.5.2.2. Brazil Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.5.2.3. Brazil Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
• 6.6. Middle East and Africa
  • 6.6.1. Middle East and Africa Generative AI in Chemical Market Estimates and Forecasts, 2024 - 2033 (USD Million)
    • 6.6.1.1. Middle East and Africa Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.6.1.2. Middle East and Africa Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.6.2. UAE
    • 6.6.2.1. UAE Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.6.2.2. UAE Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.6.3. KSA
    • 6.6.3.1. KSA Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.6.3.2. KSA Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)
  • 6.6.4. South Africa
    • 6.6.4.1. South Africa Generative AI in Chemical Market Estimates and Forecasts, by Technology, 2024 - 2033 (USD Million)
    • 6.6.4.2. South Africa Generative AI in Chemical Market Estimates and Forecasts, by Application, 2024 - 2033 (USD Million)

Chapter 7. Competitive Landscape

• 7.1. Company Categorization
• 7.2. Company Market Positioning
• 7.3. Participant's Overview
• 7.4. Financial Performance
• 7.5. Product Benchmarking
• 7.6. Company Heat Map Analysis
• 7.7. Strategy Mapping
• 7.8. Company Profiles
  • 7.8.1. Accenture
    • 7.8.1.1. Participant's Overview
    • 7.8.1.2. Financial Performance
    • 7.8.1.3. Product Benchmarking
    • 7.8.1.4. Recent Developments
  • 7.8.2. AION Labs
    • 7.8.2.1. Participant's Overview
    • 7.8.2.2. Financial Performance
    • 7.8.2.3. Product Benchmarking
    • 7.8.2.4. Recent Developments
  • 7.8.3. ChemAI Ltd
    • 7.8.3.1. Participant's Overview
    • 7.8.3.2. Financial Performance
    • 7.8.3.3. Product Benchmarking
    • 7.8.3.4. Recent Developments
  • 7.8.4. Google
    • 7.8.4.1. Participant's Overview
    • 7.8.4.2. Financial Performance
    • 7.8.4.3. Product Benchmarking
    • 7.8.4.4. Recent Developments
  • 7.8.5. HELM AG
    • 7.8.5.1. Participant's Overview
    • 7.8.5.2. Financial Performance
    • 7.8.5.3. Product Benchmarking
    • 7.8.5.4. Recent Developments
  • 7.8.6. IBM Corporation
    • 7.8.6.1. Participant's Overview
    • 7.8.6.2. Financial Performance
    • 7.8.6.3. Product Benchmarking
    • 7.8.6.4. Recent Developments
  • 7.8.7. Microsoft
    • 7.8.7.1. Participant's Overview
    • 7.8.7.2. Financial Performance
    • 7.8.7.3. Product Benchmarking
    • 7.8.7.4. Recent Developments
  • 7.8.8. Mitsui Chemicals, Inc.
    • 7.8.8.1. Participant's Overview
    • 7.8.8.2. Financial Performance
    • 7.8.8.3. Product Benchmarking
    • 7.8.8.4. Recent Developments
  • 7.8.9. Siemens AG
    • 7.8.9.1. Participant's Overview
    • 7.8.9.2. Financial Performance
    • 7.8.9.3. Product Benchmarking
    • 7.8.9.4. Recent Developments
  • 7.8.10. NVIDIA Corporation
    • 7.8.10.1. Participant's Overview
    • 7.8.10.2. Financial Performance
    • 7.8.10.3. Product Benchmarking
    • 7.8.10.4. Recent Developments
  • 7.8.11. Omya AG
    • 7.8.11.1. Participant's Overview
    • 7.8.11.2. Financial Performance
    • 7.8.11.3. Product Benchmarking
    • 7.8.11.4. Recent Developments