Summary

Global AI-based Chemical Manufacturing Market was valued at approximately USD 2.46 billion in 2023 and is projected to achieve a remarkable compound annual growth rate (CAGR) of 28.87% over the forecast period from 2024 to 2032. AI-based chemical manufacturing leverages artificial intelligence to optimize and innovate processes in the chemical industry. By integrating AI, manufacturers can enhance the efficiency, precision, and safety of chemical production. AI algorithms analyze vast amounts of data from various stages of production to predict outcomes, optimize reaction conditions, and improve yield. This technology can also identify potential issues before they arise, reducing downtime and maintenance costs. Additionally, AI aids in the discovery of new materials and chemicals by simulating molecular interactions and predicting their properties, significantly accelerating the research and development process.

The Global AI-based Chemical Manufacturing Market is driven by increasing focus on the development of advanced manufacturing processes is significantly driving the dynamics of the AI-based chemical manufacturing market. AI technology, leveraging Machine Learning (ML) algorithms, has the capability to predict the properties and behaviors of chemicals, thereby enhancing manufacturing processes and expediting the development of optimized solutions in the chemical sector. Moreover, surge in funding directed toward AI-based chemistry foundation models is further propelling the advancement of the AI-based chemical manufacturing industry. These foundation models are adept at addressing a wide array of complex issues in chemical manufacturing, thus boosting industry growth. However, high initial investment costs and technical complexity and integration issues is going to impede the overall demand for the market during the forecast period 2024-2032.
The key regions considered for the Global AI-based Chemical Manufacturing Market study includes Asia Pacific, North America, Europe, Latin America, and Rest of the World. In 2023, North America dominated the market holding the largest share. This dominance is attributed to the early adoption of AI across various industries within the region. Numerous chemical companies, such as Dow, are employing ML and predictive analytics to develop customized polyurethane products tailored to individual customer needs. Additionally, the rapid growth in research activities within the chemical sector is bolstering the market share in North America, with AI playing a crucial role in accelerating innovation between process and product development stages. Furthermore, the market in Asia Pacific is anticipated to develop at the fastest rate over the forecast period 2024-2032.
Major market players included in this report are:
IBM Corporation
Cognex Corporation
Honeywell International Inc.
Emerson Electric Co.
Rockwell Automation, Inc.
Mitsubishi Electric Corporation
ABB
Google DeepMind
Siemens AG
BASF SE
The detailed segments and sub-segment of the market are explained below:
By AI Technology
• Machine Learning
• Deep Learning
• Natural Language Processing
• Predictive Analytics
• Optimization Algorithm
• Regulatory Compliance Software
• Others
By Application
• Process Optimization
• Product Development
• Quality Control
• Supply Chain Management
• Safety and Regulatory Compliance
By End-use Industry
• Pharmaceuticals
• Specialty Chemicals
• Petrochemicals
• Agrochemicals
• Polymers and Plastics
• Others
By Region:
North America
• U.S.
• Canada
Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
Latin America
• Brazil
• Mexico
Middle East & Africa
• Saudi Arabia
• South Africa
• RoMEA
Years considered for the study are as follows:
• Historical year – 2022
• Base year – 2023
• Forecast period – 2024 to 2032
Key Takeaways:
• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market

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Table of Contents

Chapter 1. Global AI-based Chemical Manufacturing Market Executive Summary
1.1. Global AI-based Chemical Manufacturing Market Size & Forecast (2022- 2032)
1.2. Regional Summary
1.3. Segmental Summary
1.3.1. By AI Technology
1.3.2. By Application
1.3.3. By End-use Industry
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global AI-based Chemical Manufacturing Market Definition and Research Assumptions
2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
2.3.1. Inclusion & Exclusion
2.3.2. Limitations
2.3.3. Supply Side Analysis
2.3.3.1. Availability
2.3.3.2. Infrastructure
2.3.3.3. Regulatory Environment
2.3.3.4. Market Competition
2.3.3.5. Economic Viability (Consumer’s Perspective)
2.3.4. Demand Side Analysis
2.3.4.1. Regulatory frameworks
2.3.4.2. Technological Advancements
2.3.4.3. Environmental Considerations
2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global AI-based Chemical Manufacturing Market Dynamics
3.1. Market Drivers
3.1.1. Rise in Focus on Development of Advanced Manufacturing Processes
3.1.2. Surge in Funding for AI-based Chemistry Foundation Models
3.2. Market Challenges
3.2.1. High Initial Investment Costs
3.2.2. Technical Complexity and Integration Issues
3.3. Market Opportunities
3.3.1. Expansion in Emerging Markets
3.3.2. Advances in AI Technology

Chapter 4. Global AI-based Chemical Manufacturing Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model
4.1.7. Porter’s 5 Force Impact Analysis
4.2. PESTEL Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.2.5. Environmental
4.2.6. Legal
4.3. Top investment opportunity
4.4. Top winning strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global AI-based Chemical Manufacturing Market Size & Forecasts by AI Technology 2022-2032
5.1. Segment Dashboard
5.2. Global AI-based Chemical Manufacturing Market: AI Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
5.2.1. Machine Learning
5.2.2. Deep Learning
5.2.3. Natural Language Processing
5.2.4. Predictive Analytics
5.2.5. Optimization Algorithm
5.2.6. Regulatory Compliance Software
5.2.7. Others

Chapter 6. Global AI-based Chemical Manufacturing Market Size & Forecasts by Application 2022-2032
6.1. Segment Dashboard
6.2. Global AI-based Chemical Manufacturing Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
6.2.1. Process Optimization
6.2.2. Product Development
6.2.3. Quality Control
6.2.4. Supply Chain Management
6.2.5. Safety and Regulatory Compliance

Chapter 7. Global AI-based Chemical Manufacturing Market Size & Forecasts by End-use Industry 2022-2032
7.1. Segment Dashboard
7.2. Global AI-based Chemical Manufacturing Market: End-use Industry Revenue Trend Analysis, 2022 & 2032 (USD Billion)
7.2.1. Pharmaceuticals
7.2.2. Specialty Chemicals
7.2.3. Petrochemicals
7.2.4. Agrochemicals
7.2.5. Polymers and Plastics
7.2.6. Others

Chapter 8. Global AI-based Chemical Manufacturing Market Size & Forecasts by Region 2022-2032
8.1. North America AI-based Chemical Manufacturing Market
8.1.1. U.S. AI-based Chemical Manufacturing Market
8.1.1.1. AI Technology breakdown size & forecasts, 2022-2032
8.1.1.2. Application breakdown size & forecasts, 2022-2032
8.1.2. Canada AI-based Chemical Manufacturing Market
8.2. Europe AI-based Chemical Manufacturing Market
8.2.1. UK AI-based Chemical Manufacturing Market
8.2.2. Germany AI-based Chemical Manufacturing Market
8.2.3. France AI-based Chemical Manufacturing Market
8.2.4. Spain AI-based Chemical Manufacturing Market
8.2.5. Italy AI-based Chemical Manufacturing Market
8.2.6. Rest of Europe AI-based Chemical Manufacturing Market
8.3. Asia-Pacific AI-based Chemical Manufacturing Market
8.3.1. China AI-based Chemical Manufacturing Market
8.3.2. India AI-based Chemical Manufacturing Market
8.3.3. Japan AI-based Chemical Manufacturing Market
8.3.4. Australia AI-based Chemical Manufacturing Market
8.3.5. South Korea AI-based Chemical Manufacturing Market
8.3.6. Rest of Asia Pacific AI-based Chemical Manufacturing Market
8.4. Latin America AI-based Chemical Manufacturing Market
8.4.1. Brazil AI-based Chemical Manufacturing Market
8.4.2. Mexico AI-based Chemical Manufacturing Market
8.4.3. Rest of Latin America AI-based Chemical Manufacturing Market
8.5. Middle East & Africa AI-based Chemical Manufacturing Market
8.5.1. Saudi Arabia AI-based Chemical Manufacturing Market
8.5.2. South Africa AI-based Chemical Manufacturing Market
8.5.3. Rest of Middle East & Africa AI-based Chemical Manufacturing Market

Chapter 9. Competitive Intelligence
9.1. Key Company SWOT Analysis
9.1.1. Company 1
9.1.2. Company 2
9.1.3. Company 3
9.2. Top Market Strategies
9.3. Company Profiles
9.3.1. IBM Corporation
9.3.1.1. Key Information
9.3.1.2. Overview
9.3.1.3. Financial (Subject to Data Availability)
9.3.1.4. Product Summary
9.3.1.5. Market Strategies
9.3.2. Cognex Corporation
9.3.3. Honeywell International Inc.
9.3.4. Emerson Electric Co.
9.3.5. Rockwell Automation, Inc.
9.3.6. Mitsubishi Electric Corporation
9.3.7. ABB
9.3.8. Google DeepMind
9.3.9. Siemens AG
9.3.10. BASF SE


Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes