AI in Chemical & Material Informatics Market by Offering, Technology, Deployment, Application, End-Use

Description

List of Tables

[186 Pages Report] The AI in Chemical & Material Informatics Market size was estimated at USD 8.69 billion in 2023 and expected to reach USD 12.08 billion in 2024, at a CAGR 39.46% to reach USD 89.29 billion by 2030.

Global AI in Chemical & Material Informatics Market

KEY MARKET STATISTICS
Base Year [2023]	USD 8.69 billion
Estimated Year [2024]	USD 12.08 billion
Forecast Year [2030]	USD 89.29 billion
CAGR (%)	39.46%

AI in Chemical & Material Informatics Market - IMG1

Artificial intelligence (AI) within the context of chemical and materials informatics pertains to the application of machine learning and predictive modeling to solve complex problems in the chemical and materials science industries. This stream converges the novel and powerful computational methodologies under AI to study, understand, and predict the properties of chemicals and materials. Main growth catalysts in this market encompass technological developments along with a heightened need for operational efficiency. The troves of data from the chemical and material industry instigates efficient data management practices, bolstering the market's growth. However, the high investment costs, a dearth of skilled professionals, AI reliability skepticism, alongside data security and privacy concerns are distinct challenges that impede market growth. Additional market opportunities include the burgeoning use of robotics and autonomous systems in research and manufacturing, opening doors for further AI integration. The acceptance of cloud-based solutions also fosters new prospects for AI service providers and software companies in the chemical and material sector.

Regional Insights

The Americas AI in chemical & material informatics market shows a remarkable trend owing to the region's technological advancements and dynamic innovation ecosystem, where the United States majorly contributing to adopting AI technologies and investing heavily in R&D. Additionally, regions's growing focus on industrial diversification is pushing for AI utilization across its chemical and materials industry. The EMEA region presents robust growth in the application of AI in chemical and material informatics market. Major European countries such as France, Germany, and the UK are spearheading the digital transformation drive in the chemical industry. The Middle East is leveraging AI potential, particularly in the oil and gas sector, while Africa's market, though nascent, is showing promising signs owing to growing digital literacy and infrastructure development. In the APAC region, a burgeoning tech scene and increased investments in AI are driving considerable growth. With emerging economies employing AI in every industrial sector, including the chemical industry, and booming digital economies, the APAC region is poised to significantly expand AI applications within Chemical and Material Informatics.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the AI in Chemical & Material Informatics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the AI in Chemical & Material Informatics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the AI in Chemical & Material Informatics Market, highlighting leading vendors and their innovative profiles. These include AI Materia, Ansatz AI, Bytelab Solutions SL. All, Chemical.AI, Citrine Informatics, Dassault Systemes SE, ENEOS Corporation, Enthought, Inc., Fujitsu Limited, Hitachi High-Tech Corporation, International Business Machines Corporation, Kebotix, Inc., Mat3ra, Materials.Zone Ltd., Mitsubishi Chemical Holdings Corporation, Noble Artificial Intelligence, Inc., PerkinElmer Inc, Phaseshift Technologies Inc., Polymerize Private Limited, Schrodinger, Inc., Sumitomo Chemical Co., Ltd., TDK Corporation, Tilde Materials Informatics, Toray Industries, Inc., and Uncountable Inc.

Market Segmentation & Coverage

This research report categorizes the AI in Chemical & Material Informatics Market to forecast the revenues and analyze trends in each of the following sub-markets:

Offering
- Services
- Software
Technology
- Computer Vision
- Machine Learning
- Predictive Analytics
Deployment
- Cloud
- On-premise
Application
- Material Discovery & Experimentation
- Material Manufacturing
- Quality Control & Assurance
End-Use
- Battery & Energy Storage
- Chemicals
- Metals & Mining
- Pharmaceuticals
- Polymer & Plastics
- Semiconductor
Region
- Americas
  - Argentina
  - Brazil
  - Canada
  - Mexico
  - United States
    - California
    - Florida
    - Illinois
    - New York
    - Ohio
    - Pennsylvania
    - Texas
- Asia-Pacific
  - Australia
  - China
  - India
  - Indonesia
  - Japan
  - Malaysia
  - Philippines
  - Singapore
  - South Korea
  - Taiwan
  - Thailand
  - Vietnam
- Europe, Middle East & Africa
  - Denmark
  - Egypt
  - Finland
  - France
  - Germany
  - Israel
  - Italy
  - Netherlands
  - Nigeria
  - Norway
  - Poland
  - Qatar
  - Russia
  - Saudi Arabia
  - South Africa
  - Spain
  - Sweden
  - Switzerland
  - Turkey
  - United Arab Emirates
  - United Kingdom

The report offers valuable insights on the following aspects:

1. Market Penetration: It presents comprehensive information on the market provided by key players.

2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.

3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.

4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.

5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as:

1. What is the market size and forecast of the AI in Chemical & Material Informatics Market?

2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the AI in Chemical & Material Informatics Market?

3. What are the technology trends and regulatory frameworks in the AI in Chemical & Material Informatics Market?

4. What is the market share of the leading vendors in the AI in Chemical & Material Informatics Market?

5. Which modes and strategic moves are suitable for entering the AI in Chemical & Material Informatics Market?

Product Code: MRR-2E76C3E47E29

1. Preface

1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders

2. Research Methodology

2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

4.1. Introduction
4.2. AI in Chemical & Material Informatics Market, by Region

5. Market Insights

5.1. Market Dynamics
- 5.1.1. Drivers
  - 5.1.1.1. Increasing data generation with accelerating material discovery & experimentation in chemical industries
  - 5.1.1.2. Rising demand for predictive modeling of material properties and chemical reactions
- 5.1.2. Restraints
  - 5.1.2.1. High cost of deployment of AI in chemical & material informatics solutions
- 5.1.3. Opportunities
  - 5.1.3.1. Continuous technological advancements in AI in chemical & material informatics solutions
  - 5.1.3.2. Emerging applications for designing environmentally friendly materials and process
- 5.1.4. Challenges
  - 5.1.4.1. Data privacy and security concerns associated with the usage of AI in chemical & material informatics
5.2. Market Segmentation Analysis
- 5.2.1. Offering: Expanding usage of AI software in chemical & material informatics due to its predictive ability
- 5.2.2. Technology: Growing applications of machine learning to learn from past patterns for quick decision-making processes
- 5.2.3. Deployment: High potential for cloud AI systems across start-ups and mid-sized enterprises
- 5.2.4. Application: Significant demand for AI for material discovery & experimentation due to its ability to save resources in trial & testing
- 5.2.5. End-Use: Expanding usage of AI in chemical & material informatics across the chemical industry to fasten the discovery of new chemicals
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter's Five Forces Analysis
- 5.5.1. Threat of New Entrants
- 5.5.2. Threat of Substitutes
- 5.5.3. Bargaining Power of Customers
- 5.5.4. Bargaining Power of Suppliers
- 5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework

6. AI in Chemical & Material Informatics Market, by Offering

6.1. Introduction
6.2. Services
6.3. Software

7. AI in Chemical & Material Informatics Market, by Technology

7.1. Introduction
7.2. Computer Vision
7.3. Machine Learning
7.4. Predictive Analytics

8. AI in Chemical & Material Informatics Market, by Deployment

8.1. Introduction
8.2. Cloud
8.3. On-premise

9. AI in Chemical & Material Informatics Market, by Application

9.1. Introduction
9.2. Material Discovery & Experimentation
9.3. Material Manufacturing
9.4. Quality Control & Assurance

10. AI in Chemical & Material Informatics Market, by End-Use

10.1. Introduction
10.2. Battery & Energy Storage
10.3. Chemicals
10.4. Metals & Mining
10.5. Pharmaceuticals
10.6. Polymer & Plastics
10.7. Semiconductor

11. Americas AI in Chemical & Material Informatics Market

11.1. Introduction
11.2. Argentina
11.3. Brazil
11.4. Canada
11.5. Mexico
11.6. United States

12. Asia-Pacific AI in Chemical & Material Informatics Market

12.1. Introduction
12.2. Australia
12.3. China
12.4. India
12.5. Indonesia
12.6. Japan
12.7. Malaysia
12.8. Philippines
12.9. Singapore
12.10. South Korea
12.11. Taiwan
12.12. Thailand
12.13. Vietnam

13. Europe, Middle East & Africa AI in Chemical & Material Informatics Market

13.1. Introduction
13.2. Denmark
13.3. Egypt
13.4. Finland
13.5. France
13.6. Germany
13.7. Israel
13.8. Italy
13.9. Netherlands
13.10. Nigeria
13.11. Norway
13.12. Poland
13.13. Qatar
13.14. Russia
13.15. Saudi Arabia
13.16. South Africa
13.17. Spain
13.18. Sweden
13.19. Switzerland
13.20. Turkey
13.21. United Arab Emirates
13.22. United Kingdom

14. Competitive Landscape

14.1. FPNV Positioning Matrix
14.2. Market Share Analysis, By Key Player
14.3. Competitive Scenario Analysis, By Key Player
- 14.3.1. New Product Launch & Enhancement
  - 14.3.1.1. NobleAI Launches New AI-Powered Chemical and Materials Informatics Solutions on Microsoft's Azure Marketplace
  - 14.3.1.2. TDK progresses materials informatics (MI) by building original AI data analysis platform
  - 14.3.1.3. Toray Launching Digital Service Leveraging AI-Based Database to Help Customers Optimize Resin Choices and Speed Up Product Development

15. Competitive Portfolio

15.1. Key Company Profiles
- 15.1.1. AI Materia
- 15.1.2. Ansatz AI
- 15.1.3. Bytelab Solutions SL. All
- 15.1.4. Chemical.AI
- 15.1.5. Citrine Informatics
- 15.1.6. Dassault Systemes SE
- 15.1.7. ENEOS Corporation
- 15.1.8. Enthought, Inc.
- 15.1.9. Fujitsu Limited
- 15.1.10. Hitachi High-Tech Corporation
- 15.1.11. International Business Machines Corporation
- 15.1.12. Kebotix, Inc.
- 15.1.13. Mat3ra
- 15.1.14. Materials.Zone Ltd.
- 15.1.15. Mitsubishi Chemical Holdings Corporation
- 15.1.16. Noble Artificial Intelligence, Inc.
- 15.1.17. PerkinElmer Inc
- 15.1.18. Phaseshift Technologies Inc.
- 15.1.19. Polymerize Private Limited
- 15.1.20. Schrodinger, Inc.
- 15.1.21. Sumitomo Chemical Co., Ltd.
- 15.1.22. TDK Corporation
- 15.1.23. Tilde Materials Informatics
- 15.1.24. Toray Industries, Inc.
- 15.1.25. Uncountable Inc
15.2. Key Product Portfolio

16. Appendix

16.1. Discussion Guide
16.2. License & Pricing