Artificial Intelligence (AI) in Chemical Market By Type, Distribution Channel, End-user and Region - Partner & Customer Ecosystem (Product Services, Proposition & Key Features) Competitive Index & Regional Footprints by MarketDigits - Forecast 2024-2032

Industry : Information Technology | Pages : 183 Pages | Published On : Apr 2024

         
     
The Artificial Intelligence (AI) in Chemical Market is Valued USD 1.1 billion by 2024 and projected to reach USD 13.29 billion by 2032, growing at a CAGR of 31.9% During the Forecast period of 2024-2032.

Artificial Intelligence (AI) in Chemical Market Size


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             2020                         2024-2032      

ReportDetails
Market Size ValueUSD 1.1 billion by 2024
Market Size ValueUSD 13.29 billion by 2032
CAGR31.9%
Forecast Period2024-2032
Base Year 2023
Historic Data2020
Segments Coveredxxxx
Geographics CoveredNorth America, Latin America, Europe, Asia-Pacific, Middle East & Africa

Major Players In Artificial Intelligence (AI) in Chemical Market Include: BASF, Dow, IBM, Intel, Microsoft, Mitsubishi Chemical, Momentive, Novozymes, PPG Industries, Solvay and Others.

Market Overview

The growth of AI in the chemical market is propelled by various factors, including the increasing need for reliable manufacturing processes, the embrace of innovative digital methods in the chemical sector, a growing demand for enhanced batch production scheduling, and a heightened awareness of AI solutions. Moreover, government investments in research and development to optimize manufacturing processes are anticipated to contribute to the market's expansion in the foreseeable future. The rising incorporation of advanced technologies such as IoT, 3D printing, and VR is projected to stimulate research and development initiatives, further driving the demand for AI across various industries.

Design and development of new products

AI plays a crucial role in expediting innovation across the stages of process and product development. By employing machine learning and advanced analytics algorithms alongside historical data, chemical industries can precisely calculate costs and predict performance outcomes. Many sectors within the chemical industry rely on tailored mathematical algorithms and models to identify the optimal chemical combinations, forecast catalyst aging processes, and predict the solubility of complex dyes. For example, companies like Novartis employ robots to transfer chemical compounds into multi-well plates. These robots enable the continuous execution of laboratory tests on products and substances, operating 24/7 and significantly accelerating the drug discovery and development processes.

Market Dynamics

Drivers:

  • Cross-contamination of food products due to complex processes
  • Rise in consumer awareness about food safety
  • Increase in demand for convenience and packaged food products

Opportunities:

  • Technological advancements in testing industry
  • Growing demand and popularity for clean-label food

Application of generative modeling

Generative modeling holds immense potential for chemists seeking innovative molecules with therapeutic advantages or substitutes for commonly used substances that pose environmental risks. Machine learning methods offer a means for scientists to swiftly evaluate numerous chemical reactions or combinations and assess their outcomes. Through this screening and generative capacity, ML algorithms contribute to advancing a more sustainable future. They empower chemical companies to produce substances resembling petroleum products or plastics in properties but with improved biodegradability, minimizing waste and pollution. According to Nature Communications, the integration of artificial intelligence services enables organizations to achieve approximately a 63% enhancement in environmental friendliness.

The market for Artificial Intelligence (AI) in Chemical is dominated by North America.

In 2022, the North America holds a major share in the artificial intelligence (ai) in chemical market. This dominance is attributed due to heightened awareness of digitization methodologies and augmented research and development investments by chemical companies, aimed at advancing overall production processes. A noteworthy illustration is the initiation of the American AI Project by the US President in 2019, outlining the nation's blueprint for bolstering leadership in artificial intelligence. As a component of this initiative, government agencies have played a role in instilling public confidence in AI-based processes by offering guidance for their development and practical implementation across diverse sectors.

On the other hand, the fastest growth during the anticipated period is forecasted for Europe, driven by heightened government funding initiatives, the establishment of chemical industries, favorable regulatory conditions, and the emergence of new chemical sectors. Europe currently stands as the world's second-largest chemicals producer.

The Software Segment is Anticipated to Hold the Largest Market Share During the Forecast Period

The software sector claimed the largest share in 2022 and is expected to maintain its dominance during the projected period, driven by the ongoing software transformation catering to the needs of the chemical industry. The increased demand for improved storage, management, evaluation, and sharing of data in drug research and development has propelled the widespread use of software in this sector. Additionally, software serves as a significant revenue source for market players over time, emerging as the primary contributing factor to sales in the global AI in the chemical market. For example, MATLAB stands out as one of the top software products for data plotting and numerical calculations in the field of chemical engineering.

Major Segmentations Are Distributed as follows:

  • 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-use
    • Base Chemicals & Petrochemicals
    • Specialty Chemicals
    • Agrochemicals
    • Others
  • By Region
    • North America
      • US
      • Canada
    • Latin America
      • Brazil
      • Mexico
      • Argentina
      • Colombia
      • Chile
      • Peru
      • Rest of Latin America
    • Europe
      • Germany
      • France
      • Italy
      • Spain
      • U.K.
      • BENELUX
      • CIS & Russia
      • Nordics
      • Austria
      • Poland
      • Rest of Europe
    • Asia Pacific
      • China
      • Japan
      • South Korea
      • India
      • Thailand
      • Indonesia
      • Malaysia
      • Vietnam
      • Australia & New Zealand
      • Rest of Asia Pacific
    • Middle East & Africa
      • Saudi Arabia
      • UAE
      • South Africa
      • Nigeria
      • Egypt
      • Israel
      • Turkey
      • Rest of MEA

Recent Developments

  • In November 2023, Kebotix has just unveiled a cutting-edge AI-powered platform designed to assist chemical companies in streamlining and enhancing their manufacturing processes.
  • In October 2023, ChemAxon has revealed the creation of an innovative AI-powered platform aimed at aiding chemists in the design and synthesis of novel molecules.

Answers to Following Key Questions:

  • What will be the Artificial Intelligence (AI) in Chemical Market’s Trends & growth rate? What analysis has been done of the prices, sales, and volume of the top producers of Artificial Intelligence (AI) in Chemical Market?
  • What are the main forces behind worldwide Artificial Intelligence (AI) in Chemical Market? Which companies dominate Artificial Intelligence (AI) in Chemical Market?
  • Which companies dominate Artificial Intelligence (AI) in Chemical Market? Which business possibilities, dangers, and tactics did they embrace in the market?
  • What are the global Insight Engines industry's suppliers' opportunities and dangers in Artificial Intelligence (AI) in Chemical Market?
  • What is the Insight Engines industry's regional sales, income, and pricing analysis? In the Artificial Intelligence (AI) in Chemical Market, who are the distributors, traders, and resellers?
  • What are the main geographic areas for various trades that are anticipated to have astounding expansion over the Artificial Intelligence (AI) in Chemical Market?
  • What are the main geographical areas for various industries that are anticipated to observe astounding expansion for Artificial Intelligence (AI) in Chemical Market?
  • What are the dominant revenue-generating regions for Artificial Intelligence (AI) in Chemical Market, as well as regional growth trends?
  • By the end of the forecast period, what will the market size and growth rate be?
  • What are the main Artificial Intelligence (AI) in Chemical Market trends that are influencing the market's expansion?
  • Which key product categories dominate Artificial Intelligence (AI) in Chemical Market? What is Artificial Intelligence (AI) in Chemical Market’s main applications?
  • In the coming years, which Artificial Intelligence (AI) in Chemical Market technology will dominate the market?

Reason to purchase this Artificial Intelligence (AI) in Chemical Market Report:

  • Determine prospective investment areas based on a detailed trend analysis of the global Artificial Intelligence (AI) in Chemical Market over the next years.
  • Gain an in-depth understanding of the underlying factors driving demand for different Artificial Intelligence (AI) in Chemical Market segments in the top spending countries across the world and identify the opportunities each offers.
  • Strengthen your understanding of the market in terms of demand drivers, industry trends, and the latest technological developments, among others.
  • Identify the major channels that are driving the global Artificial Intelligence (AI) in Chemical Market, providing a clear picture of future opportunities that can be tapped, resulting in revenue expansion.
  • Channelize resources by focusing on the ongoing programs that are being undertaken by the different countries within the global Artificial Intelligence (AI) in Chemical Market.
  • Make correct business decisions based on a thorough analysis of the total competitive landscape of the sector with detailed profiles of the top Artificial Intelligence (AI) in Chemical Market providers worldwide, including information about their products, alliances, recent contract wins, and financial analysis wherever available.

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Table and Figures

Methodology:

At MarketDigits, we take immense pride in our 360° Research Methodology, which serves as the cornerstone of our research process. It represents a rigorous and comprehensive approach that goes beyond traditional methods to provide a holistic understanding of industry dynamics.

This methodology is built upon the integration of all seven research methodologies developed by MarketDigits, a renowned global research and consulting firm. By leveraging the collective strength of these methodologies, we are able to deliver a 360° view of the challenges, trends, and issues impacting your industry.

The first step of our 360° Research Methodology™ involves conducting extensive primary research, which involves gathering first-hand information through interviews, surveys, and interactions with industry experts, key stakeholders, and market participants. This approach enables us to gather valuable insights and perspectives directly from the source.

Secondary research is another crucial component of our methodology. It involves a deep dive into various data sources, including industry reports, market databases, scholarly articles, and regulatory documents. This helps us gather a wide range of information, validate findings, and provide a comprehensive understanding of the industry landscape.

Furthermore, our methodology incorporates technology-based research techniques, such as data mining, text analytics, and predictive modelling, to uncover hidden patterns, correlations, and trends within the data. This data-driven approach enhances the accuracy and reliability of our analysis, enabling us to make informed and actionable recommendations.

In addition, our analysts bring their industry expertise and domain knowledge to bear on the research process. Their deep understanding of market dynamics, emerging trends, and future prospects allows for insightful interpretation of the data and identification of strategic opportunities.

To ensure the highest level of quality and reliability, our research process undergoes rigorous validation and verification. This includes cross-referencing and triangulation of data from multiple sources, as well as peer reviews and expert consultations.

The result of our 360° Research Methodology is a comprehensive and robust research report that empowers you to make well-informed business decisions. It provides a panoramic view of the industry landscape, helping you navigate challenges, seize opportunities, and stay ahead of the competition.

In summary, our 360° Research Methodology is designed to provide you with a deep understanding of your industry by integrating various research techniques, industry expertise, and data-driven analysis. It ensures that every business decision you make is based on a well-triangulated and comprehensive research experience.

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