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AI in Chemicals Market Size, Share, Trends, Growth Outlook

AI in Chemicals Market Size, Share, Trends, Growth Outlook, and Opportunities to 2030- By Component (Hardware, Software, Services), By Software (Dashboard & Analytics Tools, Process Simulation Software, Chemical Modeling Software, Laboratory Management Software, Virtual Screening Tools, Chemical Property Prediction Tools), By Technology (ML, Deep Learning, Generative AI, NLP, Computer Vision, Advanced Analytics), By Deployment Mode (Cloud, On-Premises, Deployment & Integration Services, Support & Maintenance Services, Managed Services), By Application (R&D, Production, Supply Chain Management, Strategy Management), By End-User (Basic Chemicals, Advance Materials, Active Ingredients, Green & Biochemicals, Paints & Coatings, Adhesives & Sealants, Water Treatment & Services, Others), Countries and Companies Report

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  • AI in Chemicals
  • |Published Month : October, 2024
  • |No. of Pages : 210

Global AI in Chemicals Market is forecast to register a CAGR of 35.8% from $0.86 Billion in 2024 to $5.4 Billion in 2030 driven by new product launches by companies.

The global AI in Chemicals Market Study analyzes and forecasts the market size across 6 regions and 24 countries for diverse segments -By Component (Hardware, Software, Services), By Software (Dashboard & Analytics Tools, Process Simulation Software, Chemical Modeling Software, Laboratory Management Software, Virtual Screening Tools, Chemical Property Prediction Tools), By Technology (ML, Deep Learning, Generative AI, NLP, Computer Vision, Advanced Analytics), By Deployment Mode (Cloud, On-Premises, Deployment & Integration Services, Support & Maintenance Services, Managed Services), By Application (R&D, Production, Supply Chain Management, Strategy Management), By End-User (Basic Chemicals, Advance Materials, Active Ingredients, Green & Biochemicals, Paints & Coatings, Adhesives & Sealants, Water Treatment & Services, Others).

An Introduction to AI in Chemicals Market in 2024

The AI in chemicals market in 2024 reflects the transformative impact of artificial intelligence (AI) and machine learning (ML) technologies on the chemical industry, enabling data-driven decision-making, predictive modeling, and process optimization. AI applications in chemical manufacturing encompass predictive maintenance, quality control, supply chain optimization, and product innovation, driving efficiency, sustainability, and cost-effectiveness. With a focus on digital transformation, smart factories, and AI-driven analytics platforms, the AI in chemicals market is poised for significant growth, fostering innovation, and competitiveness within the global chemical sector.

AI in Chemicals Market Competitive Landscape

The market report analyses the leading companies in the industry including Augury, AWS, C3.ai, Canvass AI, Chemical.AI, Citirne Informatics, Deepmatter, Engie Impact, GE Vernova, Google, Hexagon, IBM, Iktos, Intellegens, Kebotix, Microsoft, Nexocode, NobleAI, NuWater, NVIDIA, OptiSol Business Solutions, Polymerize, Ripik.AI, SandboxAQ, SAP, Schneider Electric, ScienceDesk, Siemens, Tractian, TrendMiner, Uptime AI, VROC, Xylem, Zapata AI.

AI in Chemicals Market Dynamics

Market Trend: Adoption of AI for Process Optimization and Predictive Maintenance

The most prominent trend in the AI in Chemicals market is the widespread adoption of artificial intelligence (AI) for process optimization and predictive maintenance. Chemical industries are leveraging AI technologies such as machine learning, deep learning, and data analytics to improve manufacturing processes, enhance product quality, reduce downtime, and optimize resource utilization. This trend includes the deployment of AI-powered solutions for real-time monitoring, anomaly detection, predictive modeling, and decision support systems, driving market growth in the chemical sector's digital transformation.

Market Driver: Need for Efficiency, Cost Reduction, and Quality Improvement

A significant driver for the AI in Chemicals market is the industry's need for efficiency gains, cost reduction, and quality improvement. Chemical manufacturers face challenges related to operational efficiency, supply chain optimization, regulatory compliance, and product innovation. Factors such as competitive pressures, market volatility, sustainability goals, and the demand for personalized products drive the adoption of AI technologies to streamline operations, reduce production costs, enhance yield rates, and ensure consistent product quality, supporting market expansion and innovation in AI solutions for the chemical industry.

Market Opportunity: Development of AI-enabled Sustainability Solutions

One potential opportunity in the AI in Chemicals market lies in the development of AI-enabled sustainability solutions. As sustainability becomes a priority for the chemical industry, there is a growing demand for AI-driven solutions that address environmental impact, energy efficiency, waste reduction, and carbon footprint reduction. Collaborating with sustainability-focused organizations, environmental agencies, and research institutions presents opportunities to develop AI models for carbon emissions monitoring, green chemistry optimization, waste management, and renewable energy integration into chemical processes. Capitalizing on this opportunity involves leveraging AI algorithms, big data analytics, IoT sensors, and cloud computing for sustainable manufacturing practices, eco-friendly product development, and compliance with regulatory requirements in the evolving landscape of green chemistry and sustainability initiatives.

AI in Chemicals Market Share Analysis: Software to register the fastest growth rate over the forecast period to 2030 Driven by Advanced Analytics and Process Optimization

The AI in Chemicals market is witnessing significant growth, fueled by the adoption of advanced analytics tools and AI technologies for process optimization and efficiency improvement across various stages of the chemical industry value chain. Components such as hardware, software (including dashboard & analytics tools, process simulation software, chemical modeling software, and laboratory management software), and services (deployment & integration services, support & maintenance services, and managed services) are playing a crucial role in enabling AI-driven transformations. Technologies like Machine Learning (ML), Deep Learning, Generative AI, Natural Language Processing (NLP), and Computer Vision are empowering chemical companies to enhance R&D capabilities, streamline production processes, optimize supply chain management, and improve overall strategy management. End-users in sectors like Basic Chemicals, Advance Materials, Active Ingredients, Green & Biochemicals, and others are leveraging AI solutions for smarter decision-making, cost reduction, and sustainable practices, contributing to the rapid expansion of the AI in Chemicals market segment.

AI in Chemicals Market Segmentation-

By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
OthersGeographical Analysis
North America (US, Canada, Mexico)
Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Australia, South East Asia, Rest of Asia)
South America (Brazil, Argentina, Rest of South America)
Middle East and Africa (Saudi Arabia, UAE, Rest of Middle East, South Africa, Egypt, Rest of Africa)

AI in Chemicals Market Companies Profiled

Augury
AWS
C3.ai
Canvass AI
Chemical.AI
Citirne Informatics
Deepmatter
Engie Impact
GE Vernova
Google
Hexagon
IBM
Iktos
Intellegens
Kebotix
Microsoft
Nexocode
NobleAI
NuWater
NVIDIA
OptiSol Business Solutions
Polymerize
Ripik.AI
SandboxAQ
SAP
Schneider Electric
ScienceDesk
Siemens
Tractian
TrendMiner
Uptime AI
VROC
Xylem
Zapata AI*- List Not Exhaustive

TABLE OF CONTENTS

1 Introduction to 2024 AI in Chemicals Market
1.1 Market Overview
1.2 Quick Facts
1.3 Scope/Objective of the Study
1.4 Market Definition
1.5 Countries and Regions Covered
1.6 Units, Currency, and Conversions
1.7 Industry Value Chain

2 Research Methodology
2.1 Market Size Estimation
2.2 Sources and Research Methodology
2.3 Data Triangulation
2.4 Assumptions and Limitations

3 Executive Summary
3.1 Global AI in Chemicals Market Size Outlook, $ Million, 2021 to 2030
3.2 AI in Chemicals Market Outlook by Type, $ Million, 2021 to 2030
3.3 AI in Chemicals Market Outlook by Product, $ Million, 2021 to 2030
3.4 AI in Chemicals Market Outlook by Application, $ Million, 2021 to 2030
3.5 AI in Chemicals Market Outlook by Key Countries, $ Million, 2021 to 2030

4 Market Dynamics
4.1 Key Driving Forces of AI in Chemicals Industry
4.2 Key Market Trends in AI in Chemicals Industry
4.3 Potential Opportunities in AI in Chemicals Industry
4.4 Key Challenges in AI in Chemicals Industry

5 Market Factor Analysis
5.1 Value Chain Analysis
5.2 Competitive Landscape
5.2.1 Global AI in Chemicals Market Share by Company (%), 2023
5.2.2 Product Offerings by Company
5.3 Porter’s Five Forces Analysis
5.4 Pricing Analysis and Outlook

6 Growth Outlook Across Scenarios
6.1 Growth Analysis-Case Scenario Definitions
6.2 Low Growth Scenario Forecasts
6.3 Reference Growth Scenario Forecasts
6.4 High Growth Scenario Forecasts

7 Global AI in Chemicals Market Outlook by Segments
7.1 AI in Chemicals Market Outlook by Segments, $ Million, 2021- 2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others

8 North America AI in Chemicals Market Analysis and Outlook To 2030
8.1 Introduction to North America AI in Chemicals Markets in 2024
8.2 North America AI in Chemicals Market Size Outlook by Country, 2021-2030
8.2.1 United States
8.2.2 Canada
8.2.3 Mexico
8.3 North America AI in Chemicals Market size Outlook by Segments, 2021-2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others
9 Europe AI in Chemicals Market Analysis and Outlook To 2030
9.1 Introduction to Europe AI in Chemicals Markets in 2024
9.2 Europe AI in Chemicals Market Size Outlook by Country, 2021-2030
9.2.1 Germany
9.2.2 France
9.2.3 Spain
9.2.4 United Kingdom
9.2.4 Italy
9.2.5 Russia
9.2.6 Norway
9.2.7 Rest of Europe
9.3 Europe AI in Chemicals Market Size Outlook by Segments, 2021-2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others
10 Asia Pacific AI in Chemicals Market Analysis and Outlook To 2030
10.1 Introduction to Asia Pacific AI in Chemicals Markets in 2024
10.2 Asia Pacific AI in Chemicals Market Size Outlook by Country, 2021-2030
10.2.1 China
10.2.2 India
10.2.3 Japan
10.2.4 South Korea
10.2.5 Indonesia
10.2.6 Malaysia
10.2.7 Australia
10.2.8 Rest of Asia Pacific
10.3 Asia Pacific AI in Chemicals Market size Outlook by Segments, 2021-2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others
11 South America AI in Chemicals Market Analysis and Outlook To 2030
11.1 Introduction to South America AI in Chemicals Markets in 2024
11.2 South America AI in Chemicals Market Size Outlook by Country, 2021-2030
11.2.1 Brazil
11.2.2 Argentina
11.2.3 Rest of South America
11.3 South America AI in Chemicals Market size Outlook by Segments, 2021-2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others
12 Middle East and Africa AI in Chemicals Market Analysis and Outlook To 2030
12.1 Introduction to Middle East and Africa AI in Chemicals Markets in 2024
12.2 Middle East and Africa AI in Chemicals Market Size Outlook by Country, 2021-2030
12.2.1 Saudi Arabia
12.2.2 UAE
12.2.3 Oman
12.2.4 Rest of Middle East
12.2.5 Egypt
12.2.6 Nigeria
12.2.7 South Africa
12.2.8 Rest of Africa
12.3 Middle East and Africa AI in Chemicals Market size Outlook by Segments, 2021-2030
By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others 13 Company Profiles
13.1 Company Snapshot
13.2 SWOT Profiles
13.3 Products and Services
13.4 Recent Developments
13.5 Financial Profile
Augury
AWS
C3.ai
Canvass AI
Chemical.AI
Citirne Informatics
Deepmatter
Engie Impact
GE Vernova
Google
Hexagon
IBM
Iktos
Intellegens
Kebotix
Microsoft
Nexocode
NobleAI
NuWater
NVIDIA
OptiSol Business Solutions
Polymerize
Ripik.AI
SandboxAQ
SAP
Schneider Electric
ScienceDesk
Siemens
Tractian
TrendMiner
Uptime AI
VROC
Xylem
Zapata AI

14 Appendix
14.1 Customization Offerings
14.2 Subscription Services
14.3 Related Reports
14.4 Publisher Expertise

By Component
Hardware
-Accelerators
-Processors
-Memory
-Network
Software
Services
-Professional Services
-Consulting Services
By Software
Dashboard & Analytics Tools
Process Simulation Software
Chemical Modeling Software
Laboratory Management Software
Virtual Screening Tools
Chemical Property Prediction Tools
By Technology
ML
Deep Learning
Generative AI
NLP
Computer Vision
Advanced Analytics
By Deployment Mode
Cloud
On-Premises
Deployment & Integration Services
Support & Maintenance Services
Managed Services
By Application
R&D
Production
Supply Chain Management
Strategy Management
By End-User
Basic Chemicals
Advance Materials
Active Ingredients
Green & Biochemicals
Paints & Coatings
Adhesives & Sealants
Water Treatment & Services
Others
Countries Analyzed
North America (US, Canada, Mexico)
Europe (Germany, UK, France, Spain, Italy, Russia, Rest of Europe)
Asia Pacific (China, India, Japan, South Korea, Australia, South East Asia, Rest of Asia)
South America (Brazil, Argentina, Rest of South America)
Middle East and Africa (Saudi Arabia, UAE, Rest of Middle East, South Africa, Egypt, Rest of Africa)

Frequently Asked Questions