化学和材料产业的生成式人工智慧：技术进步和成长机会

生成式人工智慧整合可望带来变革性成长，提高投资报酬率并增加利润

生成式人工智慧正成为化学品和材料产业的游戏规则改变者。该技术结合了先进的机器学习和庞大的资料资源，有潜力透过推动创新、效率和绿色实践来改变产业。生成式人工智慧可以加快研发速度，从而缩短时间并降低成本。实现材料优化，提高产品性能和永续性。实现预测性维护和供应链最佳化，以减少停机时间并物流。因此，生成式人工智慧有潜力以经济高效的方式满足产业对新型材料和环保实践日益增长的需求。然而，挑战包括复杂的监管环境、人工智慧和资料科学的人才缺口以及对高品质资料的需求。

这项研究服务确定了化学品和材料行业各种业务职能中的痛点，并确定如何使用生成式人工智慧来解决这些问题。我们提出了生成式人工智慧对产业的影响分析，以及生成式人工智慧预计解决瓶颈的时限。它还研究了投资形势，确定了该领域的主要工业和学术参与者，并强调了促进化学和材料行业开发和采用生成式人工智慧技术的成长机会。基准年为2022年，预测期间为2023年至2030年。

目录

战略问题

• 为什么成长如此困难？策略要务 8 (TM)：造成成长压力的因素
• The Strategic Imperative 8（TM）
• 关键策略倡议对化学品和材料产业生成式人工智慧的影响
• Growth Pipeline Engine（TM）：加速成长机会
• 调查方法

成长机会分析

• 化学品和材料行业的新兴趋势和关键需求
• 化学品和材料行业跨业务职能的关键子任务概述
• 生成式人工智慧从概念到创造的演变
• 生成式人工智慧技术与传统数位工具的比较
• 化学和材料产业中生成式人工智慧的方面
• 生长促进因子
• 成长抑制因素
• 范围和细分

化学和材料产业的生成式人工智慧：形势评估

• 生成式人工智慧在化学和材料研发的应用
• 生成式人工智慧在化学和材料製造和加工的应用
• 生成式人工智慧在化学和材料商业化的应用
• 生成式人工智慧在化学和材料产业其他领域的应用
• 生成式人工智慧在化学和材料领域的影响分析

创新生态系统

• 化学和材料行业生成人工智慧解决方案的领先公司
• 使用生成式人工智慧进行化学和材料开发的学术研究
• 建立伙伴关係和协作以加速采用生成式人工智慧功能
• 扩大化学和材料产业生成人工智慧能力的资金筹措和投资分析
• 在化学品和材料行业实施生成式人工智慧功能的使用案例
• 化学品和材料公司考虑或跨业务职能实施生成式人工智慧技术的范例
• 分析师对生成式人工智慧改变化学品和材料产业潜力的观点

成长机会宇宙

• 成长机会一：动态生成AI优化材料性能
• 成长机会2：云端基础的生成式人工智慧服务加速材料探索
• 成长机会 3：利用 RPA 实现品质控制合规性的生成式 AI

附录

• 技术完备等级(TRL)：说明

下一步

Generative AI Integration Promises Transformational Growth with Higher ROI and Increased Margins

Generative artificial intelligence (GenAI) is emerging as a game changer in the chemicals and materials industry. This technology, which combines advanced machine learning with vast data resources, has the potential to transform the industry by driving innovation, efficiency, and ecologically sound practices. Gen AI allows for faster research and development (R&D), resulting in shorter timelines and lower costs. It enables material optimization, which improves product performance and sustainability. Predictive maintenance and supply chain optimization are now possible, resulting in reduced downtime and more efficient logistics. Thus, GenAI has the potential to address the industry's growing demand for novel materials and environmentally friendly practices in a cost-efficient manner. However, complex regulatory landscapes, a talent gap in AI and data science, and the need for high-quality data present challenges.

This research service identifies the pain points across various business functions in the chemicals and materials industry, determining how they can be addressed by harnessing Gen AI. It presents an impact analysis of GenAI in the industry, along with a timeframe in which GenAI is expected to address bottlenecks. The study also examines the investment landscape, identifies the key industrial and academic players in this space, and highlights growth opportunities enabling the development and adoption of Gen AI technology in the chemicals and materials industry. The base year is 2022, and the forecast period is from 2023 to 2030.

Table of Contents

Strategic Imperatives

• Why Is It Increasingly Difficult to Grow?The Strategic Imperative 8™: Factors Creating Pressure on Growth
• The Strategic Imperative 8™
• The Impact of the Top 3 Strategic Imperatives on Generative Artificial Intelligence (GenAI) in the Chemicals and Materials Industry
• Growth Opportunities Fuel the Growth Pipeline Engine™
• Research Methodology

Growth Opportunity Analysis

• Emerging Trends and Critical Needs in the Chemicals and Materials Industry
• Overview of Key Subtasks Across Business Functions in the Chemicals and Materials Industry
• Evolution of GenAI from Concept to Creation
• Comparison of GenAI Technology with Conventional Digital Tools
• Transformative Aspects of GenAI in the Chemicals and Materials Industry
• Growth Drivers
• Growth Restraints
• Scope and Segmentation

GenAI in the Chemicals and Materials Industry: Landscape Assessment

• Application of GenAI in Chemicals and Materials R&D
• Application of GenAI in Chemicals and Materials Manufacturing and Processing
• Application of GenAI in Chemicals and Materials Commercialization
• Application of GenAI in Other Domains of the Chemicals and Materials Industry
• Impact Analysis of GenAI Across Chemicals and Materials Activities

Innovation Ecosystem

• Leading GenAI Solutions for the Chemicals and Materials Industry
• Academic Research for Developing Chemicals and Materials by Leveraging GenAI
• Partnerships and Collaborations Aiming to Accelerate the Adoption of GenAI Capabilities
• Funding and Investment Analysis on Expanding GenAI Capabilities for the Chemicals and Materials Industry
• Use Cases of Implementing GenAI Capabilities in the Chemicals and Materials Industry
• Examples of Chemicals and Materials Companies Trying to Explore or Implement GenAI Technology Across their Business Functions
• Analyst Perspective on GenAI's Potential to Revolutionize the Chemicals and Materials Industry

Growth Opportunity Universe

• Growth Opportunity 1: Quantum-powered GenAI for Optimizing Materials Properties
• Growth Opportunity 2: Cloud-based GenAI Services for Accelerated Materials Discovery
• Growth Opportunity 3: GenAI with RPA for QC Compliance

Appendix

• Technology Readiness Levels (TRL): Explanation

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