化學和材料產業的生成式人工智慧：技術進步和成長機會

生成式人工智慧整合可望帶來變革性成長，提高投資報酬率並增加利潤

生成式人工智慧正成為化學品和材料產業的遊戲規則改變者。該技術結合了先進的機器學習和龐大的資料資源，有潛力透過推動創新、效率和綠色實踐來改變產業。生成式人工智慧可以加快研發速度，從而縮短時間並降低成本。實現材料最佳化，提高產品性能和永續性。實現預測性維護和供應鏈最佳化，以減少停機時間並物流。因此，生成式人工智慧有潛力以經濟高效的方式滿足產業對新型材料和環保實踐日益成長的需求。然而，挑戰包括複雜的監管環境、人工智慧和資料科學的人才缺口以及對高品質資料的需求。

這項研究服務確定了化學品和材料行業各種業務職能中的痛點，並確定如何使用生成式人工智慧來解決這些問題。我們提出了生成式人工智慧對產業的影響分析，以及生成式人工智慧預計解決瓶頸的時限。它還研究了投資形勢，確定了該領域的主要工業和學術參與者，並強調了促進化學和材料行業開發和採用生成式人工智慧技術的成長機會。基準年為2022年，預測期間為2023年至2030年。

目錄

戰略問題

• 為什麼成長如此困難？策略要務 8 (TM)：造成成長壓力的因素
• The Strategic Imperative 8（TM）
• 關鍵策略舉措對化學品和材料產業生成式人工智慧的影響
• Growth Pipeline Engine（TM）：加速成長機會
• 調查方法

成長機會分析

• 化學品和材料行業的新興趨勢和關鍵需求
• 化學品和材料行業跨業務職能的關鍵子任務概述
• 生成式人工智慧從概念到創造的演變
• 生成式人工智慧技術與傳統數位工具的比較
• 化學和材料產業中生成式人工智慧的方面
• 生長促進因子
• 成長抑制因素
• 範圍和細分

化學和材料產業的生成式人工智慧：形勢評估

• 生成式人工智慧在化學和材料研發的應用
• 生成式人工智慧在化學和材料製造和加工的應用
• 生成式人工智慧在化學和材料商業化的應用
• 生成式人工智慧在化學和材料產業其他領域的應用
• 生成式人工智慧在化學和材料領域的影響分析

創新生態系統

• 化學和材料行業生成人工智慧解決方案的領先公司
• 使用生成式人工智慧進行化學和材料開發的學術研究
• 建立夥伴關係和協作以加速採用生成式人工智慧功能
• 擴大化學和材料產業生成人工智慧能力的資金籌措和投資分析
• 在化學品和材料行業實施生成式人工智慧功能的使用案例
• 化學品和材料公司考慮或跨業務職能實施生成式人工智慧技術的範例
• 分析師對生成式人工智慧改變化學品和材料產業潛力的觀點

成長機會宇宙

• 成長機會一：動態生成AI最佳化材料性能
• 成長機會2：雲端基礎的生成式人工智慧服務加速材料探索
• 成長機會 3：利用 RPA 實現品質控制合規性的生成式 AI

附錄

• 技術完備等級(TRL)：說明

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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