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Artificial Intelligence (AI) in Chemical Market

Artificial Intelligence (AI) in Chemical Market Size, Share & Trends Analysis Report By Type (Hardware, Software, Services), By Application (Discovery Of New Materials, Production Optimization, Pricing Optimization, Load Forecasting Of Raw Materials, Product Portfolio Optimization, Feedstock Optimization, Process Management & Control), By End User, Region And Segment Forecasts, 2024-2031

Report ID : 2325 | Published : 2024-09-25 | Pages: 179 | Format: PDF/EXCEL

Artificial Intelligence (AI) in Chemical Market Size is valued at USD 1.22 billion in 2023 and is predicted to reach USD 11.25 billion by the year 2031 at a 32.6% CAGR during the forecast period for 2024-2031.

Artificial Intelligence (AL) in Chemical Market

Artificial intelligence (AI) is a game-changer that can make chemical industries more efficient and effective. The automation of processes, the improvement of manufacturing settings, and the revelation of chemical reactions are all ways this technology makes operations more productive. AI is utilized to expedite the innovation process between the process and product development stages. Chemical businesses use machine learning and advanced analytics algorithms with historical data to define costs and performance precisely. Many chemical sectors turn to specialized mathematical methods and models when anticipating catalyst aging, complex dye solubility, and the ideal chemical combination. The chemical industry faces increasing demand to enhance sustainability while decreasing environmental effects. AI can facilitate the creation of more environmentally friendly chemical solutions. Furthermore, the market is anticipated to be propelled by increased government investments in research and development to optimize production processes.

However, the market growth is hampered by the high investment criteria for the safety and health of Artificial Intelligence (AL) In Chemical Market and the product's inability to prevent fog in environments with dramatic temperature fluctuations or high artificial intelligence (AL) in chemical, because building a factory in the chemical sector usually necessitates a large initial expenditure. Large initial investments are required to implement new technology, such as AI, because of the high cost of acquiring necessary hardware and software, training employees, funding research and development, and integrating AI solutions into current operations.

High implementation costs are preventing many small and medium enterprises from embracing AI despite its immense potential to streamline operations, increase productivity, and shorten product development cycles in the chemical sector. However, the COVID-19 pandemic contributed to the expansion of AI in the chemical sector by highlighting the widespread usage of the technology for the detection and screening of current COVID-19 treatments. Global markets expanded during the pandemic based on AI-based discoveries rather than the months-long and equally expensive conventional vaccine recognition techniques.

Competitive Landscape

Key players in the Artificial Intelligence (AI) In Chemical Market are :

  • Manuchar N.V
  • IMCD N.V.
  • Univar Solutions Inc.
  • Brenntag S.E.
  • Sojitz Corporation
  • ICC Industries Inc.
  • Azelis Group NV
  • Tricon Energy Inc.
  • Biesterfeld AG
  • Omya AG
  • HELM AG
  • Sinochem Corporation
  • Petrochem Middle East FZE

Market Segmentation:

The Artificial intelligence (AI) in the chemical market is segmented based on type, application, and end-use. Based on type, the market is segmented into hardware, software, and services. By application, the market is segmented into the discovery of new materials, production optimization, pricing optimization, load forecasting of raw materials, product portfolio optimization, feedstock optimization, and process management & control. By end use, the market is segmented into base chemicals & petrochemicals, specialty chemicals, and agrochemicals.

Based on the application, the production optimization segment is accounted as a major contributor to the Artificial Intelligence (AI) In Chemical Market

The production optimization artificial intelligence (AI) in the chemical market is expected to hold a major global market share in 2022. Production optimization can enhance a company's financial, time management, organizational, and ecological elements. When establishing objectives, many things come into play, including the company's resources and investment capacity, consumer needs, and the industry's overall state of the market.

Hardware segment to witness growth at a rapid rate

The hardware industry makes up the bulk of acrylic acid ester usage because specialist hardware components like AI memory and processors are in high demand. AI algorithms are used for more complicated operations, especially in countries like the US, Germany, the UK, China, and India.

In the region, the North American Artificial Intelligence (AI) In Chemical Market holds a significant revenue share

The North American artificial intelligence (AI) in the chemical market is expected to register the highest market share in revenue in the near future. This can be attributed to the fact that chemical companies are investing more in research and development to improve their manufacturing processes and because of a growing awareness of digitalization approaches. In addition, Asia Pacific is projected to grow rapidly in the chemical market's global artificial intelligence (AI) because of the growing funding for cutting-edge research and development in this area. The expansion of healthcare facilities in the area is another factor that will boost the market's growth.

Artificial Intelligence (AI) in Chemical Market Report Scope:

Report Attribute

Specifications

Market Size Value In 2023

USD 1.22 Bn

Revenue Forecast In 2031

USD 11.25 Bn

Growth Rate CAGR

CAGR of 32.6% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Bn and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Type, Application and End-user

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea

Competitive Landscape

Manuchar N.V, IMCD N.V., Univar Solutions Inc., Brenntag S.E., Sojitz Corporation, ICC Industries Inc., Azelis Group NV, Tricon Energy Inc., Biesterfeld AG, Omya AG, HELM AG, Sinochem Corporation, Petrochem Middle East FZE.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global Artificial Intelligence (AI) in Chemical Market Snapshot

Chapter 4. Global Artificial Intelligence (AI) in Chemical Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis

5.1. by Type & Market Share, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:

5.2.1. Hardware

5.2.2. Software

5.2.3. Services

Chapter 6. Market Segmentation 2: by Application Estimates & Trend Analysis

6.1. by Application & Market Share, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

6.2.1. Discovery Of New Materials

6.2.2. Production Optimization

6.2.3. Pricing Optimization

6.2.4. Load Forecasting of Raw Materials

6.2.5. Product Portfolio Optimization

6.2.6. Feedstock Optimization

6.2.7. Process Management & Control

Chapter 7. Market Segmentation 3: by End User Estimates & Trend Analysis

7.1. by End User & Market Share, 2019 & 2031

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End User:

7.2.1. Base Chemicals & Petrochemicals

7.2.2. Specialty Chemicals

7.2.3. Agrochemicals

Chapter 8. Artificial Intelligence (AI) in Chemical Market Segmentation 4: Regional Estimates & Trend Analysis

8.1. North America

8.1.1. North America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

8.1.2. North America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

8.1.3. North America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031

8.1.4. North America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.2. Europe

8.2.1. Europe Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

8.2.2. Europe Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

8.2.3. Europe Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031

8.2.4. Europe Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.3. Asia Pacific

8.3.1. Asia Pacific Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

8.3.2. Asia Pacific Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

8.3.3. Asia-Pacific Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031

8.3.4. Asia Pacific Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.4. Latin America

8.4.1. Latin America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

8.4.2. Latin America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

8.4.3. Latin America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031

8.4.4. Latin America Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

8.5. Middle East & Africa

8.5.1. Middle East & Africa Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2031

8.5.2. Middle East & Africa Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2031

8.5.3. Middle East & Africa Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by End User, 2024-2031

8.5.4. Middle East & Africa Artificial Intelligence (AI) in Chemical Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2031

Chapter 9. Competitive Landscape

9.1. Major Mergers and Acquisitions/Strategic Alliances

9.2. Company Profiles

9.2.1. Manuchar N.V

9.2.2. IMCD N.V.

9.2.3. Univar Solutions Inc.

9.2.4. Brenntag S.E.

9.2.5. Sojitz Corporation

9.2.6. ICC Industries Inc.

9.2.7. Azelis Group NV

9.2.8. Tricon Energy Inc.

9.2.9. Biesterfeld AG

9.2.10. Omya AG

9.2.11. HELM AG

9.2.12. Sinochem Corporation

9.2.13. Petrochem Middle East FZE

9.2.14. Other Prominent Players

Segmentation of Artificial Intelligence (AL) In Chemical Market-

By Type

  • Hardware
  • Software
  • Services

Artificial Intelligence (AL) in Chemical Market Seg

Artificial Intelligence (AI) In Chemical Market By Application

  • Discovery Of New Materials
  • Production Optimization
  • Pricing Optimization
  • Load Forecasting of Raw Materials
  • Product Portfolio Optimization
  • Feedstock Optimization
  • Process Management & Control

Artificial Intelligence (AI) In Chemical Market By End User

  • Base Chemicals & Petrochemicals
  • Specialty Chemicals
  • Agrochemicals

Artificial Intelligence (AI) In Chemical Market By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of the Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the Artificial Intelligence (AI) in Chemical Market Size?

Artificial Intelligence (AI) in Chemical Market is expected to grow at a 32.6% CAGR during the forecast period for 2024-2031.

ICC Industries Inc., Azelis Group NV, Tricon Energy Inc., Biesterfeld AG, Omya AG, HELM AG, Sinochem Corporation, and others.

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