화학 분야 AI 시장 규모, 점유율 및 동향 분석 보고서 : 유형별, 용도별, 최종 용도별, 지역별, 부문별 예측(2024-2030년)

AI In Chemicals Market Size & Trends:

The global AI in chemicals market size was estimated at USD 943.0 million in 2023 and is projected to grow at a CAGR of 27.8% from 2024 to 2030. The market is experiencing significant growth as the industry increasingly adopts advanced technologies to enhance efficiency and innovation. One major driver is the demand for optimization across chemical production processes. AI algorithms are being integrated to streamline operations, reduce waste, and improve energy efficiency. This shift is particularly evident in base chemicals and petrochemicals, where AI enhances production accuracy and cost-effectiveness. The ability of AI to analyze large datasets and predict outcomes is transforming traditional chemical manufacturing into a more agile and responsive process. As companies face rising environmental regulations, AI helps in achieving sustainability goals by optimizing resource use and minimizing emissions. The focus on AI-driven production optimization underscores a broader trend of technological adoption aimed at maintaining competitiveness and operational excellence.

Researchers and chemical companies are utilizing AI to accelerate the development of novel materials with desirable properties. Machine learning models can analyze complex data from experiments and simulations, significantly speeding up the research and development phase. This capability is particularly valuable in specialty chemicals, where customized solutions are in high demand. AI-driven discovery tools are not only reducing the time required to bring new materials to market but also improving the accuracy of material performance predictions. The focus on developing new materials is increasing investment in AI technologies. Companies are using data and computing power to gain a competitive edge. As the chemical industry adapts to changing market needs, artificial intelligence (AI) is becoming essential for creating innovative materials.

The application of AI in pricing and market strategies is another area of notable growth. AI tools are being used to develop dynamic pricing models that respond to real-time market conditions, demand fluctuations, and competitive pressures. This approach enables chemical companies to optimize their pricing strategies, enhancing profitability and market positioning. Moreover, AI contributes to more accurate demand forecasting for raw materials, which is crucial for maintaining supply chain efficiency. The ability to predict market trends and adjust pricing accordingly provides a significant competitive edge. As companies strive to navigate complex and volatile markets, AI's capabilities in pricing optimization and demand forecasting are proving to be indispensable. This trend shows a wider move towards using data for decision-making in the chemical industry. It highlights the need for agility and accuracy as the global market rapidly changes.

Global AI In Chemicals Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2018 to 2030. For this study, Grand View Research has segmented the global AI in chemicals market report based on type, application, end-use, and region:

• Type Outlook (Revenue, USD Million, 2018 - 2030)
• Hardware
• Software
• Services
• Application Outlook (Revenue, USD Million, 2018 - 2030)
• Production Optimization
• New Material Innovation
• Operational Process Management
• Pricing Optimization
• Raw Material Demand Forecasting
• Others
• End-use Outlook (Revenue, USD Million, 2018 - 2030)
• Base Chemicals & Petrochemicals
• Agricultural Chemicals
• Specialty Chemicals
• Regional Outlook (Revenue, USD Million, 2018 - 2030)
• North America
  • U.S.
  • Canada
  • Mexico
• Europe
  • UK
  • Germany
  • France
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
• Latin America
  • Brazil
• Middle East and Africa (MEA)
  • KSA
  • UAE
  • South Africa

Table of Contents

Chapter 1. Methodology and Scope

• 1.1. Market Segmentation and Scope
• 1.2. Market Definition
• 1.3. Research Methodology
  • 1.3.1. Information Procurement
  • 1.3.2. Information or Data Analysis
  • 1.3.3. Market Formulation & Data Visualization
  • 1.3.4. Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1. List of Data Sources

Chapter 2. Executive Summary

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

Chapter 3. AI in Chemicals market Variables, Trends, & Scope

• 3.1. Market Introduction/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. AI in Chemicals market Analysis Tools
  • 3.3.1. Porter's Analysis
  • 3.3.2. PESTEL Analysis

Chapter 4. AI in Chemicals market: Type Estimates & Trend Analysis

• 4.1. Segment Dashboard
• 4.2. AI in Chemicals market: Type Movement Analysis, 2023 & 2030 (USD Million)
• 4.3. Hardware
  • 4.3.1. Hardware AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.4. Software
  • 4.4.1. Software AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 4.5. Services
  • 4.5.1. Services AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 5. AI in Chemicals market: Application Estimates & Trend Analysis

• 5.1. Segment Dashboard
• 5.2. AI in Chemicals market: Application Movement Analysis, 2023 & 2030 (USD Million)
• 5.3. Production Optimization
  • 5.3.1. Production Optimization AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.4. New Material Innovation
  • 5.4.1. New Material Innovation AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.5. Operational Process Management
  • 5.5.1. Operational Process Management AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.6. Pricing Optimization
  • 5.6.1. Pricing Optimization AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.7. Raw Material Demand Forecasting
  • 5.7.1. Raw Material Demand Forecasting AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 5.8. Others
  • 5.8.1. Others AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 6. AI in Chemicals market: End Use Estimates & Trend Analysis

• 6.1. Segment Dashboard
• 6.2. AI in Chemicals market: End Use Movement Analysis, 2023 & 2030 (USD Million)
• 6.3. Base Chemicals & Petrochemicals
  • 6.3.1. Base Chemicals & Petrochemicals AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.4. Agricultural Chemicals
  • 6.4.1. Agricultural Chemicals AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)
• 6.5. Specialty Chemicals
  • 6.5.1. Specialty Chemicals AI in Chemicals market Revenue Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 7. AI in Chemicals market: Regional Estimates & Trend Analysis

• 7.1. AI in Chemicals market Share, By Region, 2023 & 2030, USD Million
• 7.2. North America
  • 7.2.1. North America AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.2. U.S.
    • 7.2.2.1. U.S. AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.3. Canada
    • 7.2.3.1. Canada AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.2.4. Mexico
    • 7.2.4.1. Mexico AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.3. Europe
  • 7.3.1. Europe AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.2. UK
    • 7.3.2.1. UK AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.3. Germany
    • 7.3.3.1. Germany AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.3.4. France
    • 7.3.4.1. France AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.4. Asia Pacific
  • 7.4.1. Asia Pacific AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.2. China
    • 7.4.2.1. China AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.3. Japan
    • 7.4.3.1. Japan AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.4. India
    • 7.4.4.1. India AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.5. South Korea
    • 7.4.5.1. South Korea AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.4.6. Australia
    • 7.4.6.1. Australia AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.5. Latin America
  • 7.5.1. Latin America AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.5.2. Brazil
    • 7.5.2.1. Brazil AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
• 7.6. Middle East and Africa
  • 7.6.1. Middle East and Africa AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.2. KSA
    • 7.6.2.1. KSA AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.3. UAE
    • 7.6.3.1. UAE AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)
  • 7.6.4. South Africa
    • 7.6.4.1. South Africa AI in Chemicals market Estimates and Forecasts, 2018 - 2030 (USD Million)

Chapter 8. Competitive Landscape

• 8.1. Company Categorization
• 8.2. Company Market Positioning
• 8.3. Participant's Overview
• 8.4. Financial Performance
• 8.5. Type Benchmarking
• 8.6. Company Heat Map Analysis
• 8.7. Strategy Mapping
• 8.8. Company Profiles/Listing
  • 8.8.1. Accenture
    • 8.8.1.1. Participant's Overview
    • 8.8.1.2. Financial Performance
    • 8.8.1.3. Product Benchmarking
    • 8.8.1.4. Recent Developments
  • 8.8.2. BASF
    • 8.8.2.1. Participant's Overview
    • 8.8.2.2. Financial Performance
    • 8.8.2.3. Product Benchmarking
    • 8.8.2.4. Recent Developments
  • 8.8.3. Google LLC
    • 8.8.3.1. Participant's Overview
    • 8.8.3.2. Financial Performance
    • 8.8.3.3. Product Benchmarking
    • 8.8.3.4. Recent Developments
  • 8.8.4. Honeywell International Inc.
    • 8.8.4.1. Participant's Overview
    • 8.8.4.2. Financial Performance
    • 8.8.4.3. Product Benchmarking
    • 8.8.4.4. Recent Developments
  • 8.8.5. IBM Corporation
    • 8.8.5.1. Participant's Overview
    • 8.8.5.2. Financial Performance
    • 8.8.5.3. Product Benchmarking
    • 8.8.5.4. Recent Developments
  • 8.8.6. Insilico Medicine
    • 8.8.6.1. Participant's Overview
    • 8.8.6.2. Financial Performance
    • 8.8.6.3. Product Benchmarking
    • 8.8.6.4. Recent Developments
  • 8.8.7. Microsoft
    • 8.8.7.1. Participant's Overview
    • 8.8.7.2. Financial Performance
    • 8.8.7.3. Product Benchmarking
    • 8.8.7.4. Recent Developments
  • 8.8.8. NVIDIA Corporation
    • 8.8.8.1. Participant's Overview
    • 8.8.8.2. Financial Performance
    • 8.8.8.3. Product Benchmarking
    • 8.8.8.4. Recent Developments
  • 8.8.9. Siemens
    • 8.8.9.1. Participant's Overview
    • 8.8.9.2. Financial Performance
    • 8.8.9.3. Product Benchmarking
    • 8.8.9.4. Recent Developments
  • 8.8.10. SLB
    • 8.8.10.1. Participant's Overview
    • 8.8.10.2. Financial Performance
    • 8.8.10.3. Product Benchmarking
    • 8.8.10.4. Recent Developments