人工智慧驱动的积层製造领域的成长机会

Growth Opportunities in AI-Driven Additive Manufacturing

出版日期: 2025年10月27日 | 出版商:

Frost & Sullivan | 英文 51 Pages | 商品交期: 最快1-2个工作天内

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简介目录

低成本优化趋势和对效率的需求正在推动製造业市场成长。

近年来，积层製造业发展迅猛，这主要得益于汽车、国防、航太、家用电子电器、製造业和能源等各个领域对客製化产品和复杂形状的需求不断增长。人工智慧（AI）在积层製造的各个层面都有着广泛的应用，并极大地促进了其在该领域的普及。边缘运算能力、机器人技术、高速连接和人工智慧模型优化等方面的快速发展是推动现代积层製造的关键因素。预计这些基础技术将在未来五到七年内持续发展，从而提高效率、降低能耗并实现小型化。

本报告涵盖技术发展及其对市场的影响，包含以下模组：人工智慧赋能增材製造的概述、重要性、架构和分类；用于3D列印过程中增材製造的人工智慧类型；新兴趋势和底层技术；区域趋势、专利和资金筹措； SWOT分析；重点案例研究；主要经营模式；蓝图；成长机会

成长驱动因素
成长限制阻碍因素
增材製造中的人工智慧 (AI) 概述
人工智慧：贯穿3D列印（3DP）价值链的核心要素
增材製造中的人工智慧类型
核心人工智慧技术：积层製造中基于代理的人工智慧与生成式人工智慧的关键区别
影响人工智慧驱动3D列印的新兴趋势
人工智慧驱动的3D列印生态系统—市场参与企业
3D列印（3DP）市场价值链图谱
基础技术的整合
人工智慧3D列印领域的主要研发与创新主题
区域趋势及人工智慧赋能积层製造的影响
人工智慧驱动的3D列印专利研究重点领域
主要资金筹措交易和重点领域
人工智慧驱动的3D列印领域的主要企业和最新趋势
人工智慧赋能增材製造领域的最新合作与併购趋势
人工智慧驱动的积层製造—SWOT分析
人工智慧驱动的3D列印案例研究1：比利时ValCUN
人工智慧驱动的3D列印案例研究2：惠普（美国）和大众汽车集团（德国）
基于人工智慧的3D列印技术的经营模式
人工智慧驱动的3D列印蓝图：自主且具弹性的架构有望成为主流

人工智慧赋能的积层製造领域蕴藏着巨大的成长机会

成长机会 1：个人製造系统
成长机会 2：汽车与航太
成长机会3：先进智慧工厂

未来发展

成长机会带来的益处和影响
未来计划
免责声明

简介目录

Product Code: DB3B

Low-Cost Optimization Trends & Demand for Efficiency Are Driving Market Growth in the Manufacturing Sector

The additive manufacturing sector has seen significant growth in recent years owing to growing demand for customized products and complex geometries in various sectors, including automotive, defense, aerospace, consumer electronics, manufacturing, and energy. AI has a wide range of applications in additive manufacturing at various levels and is a key contributor to the sector's growing adoption. Rapid growth in edge computing power, robotics, high-speed connectivity, and optimization of AI models has been a key facilitator of modern additive manufacturing. The key enabling technologies are expected to continue to grow, enabling increased efficiency, lower power consumption, and reduced size over the next 5 to 7 years.

This research report covers the developments in the technology, its impact on the market, and includes the following modules: AI-driven additive manufacturing overview, significance, architecture, and categories Types of AI in additive manufacturing throughout the 3D printing process Emerging trends and enabling technologies Regional developments, patents, and funding SWOT analysis Key case studies Key business models Roadmap Growth opportunities

Growth Opportunities in AI-Driven Additive Manufacturing

Strategic Imperatives
Why Is It Increasingly Difficult to Grow?
The Strategic Imperative 8
The Impact of the Top 3 Strategic Imperatives on AI-Driven Additive Manufacturing
Growth Opportunities Fuel the Growth Pipeline Engine
Research Methodology

Growth Opportunity Analysis

Technology Attractiveness Dashboard
Scope of Analysis
Segmentation

Growth Generator

Growth Drivers
Growth Restraints
AI In Additive Manufacturing-A Brief Overview
Artificial Intelligence: A Core Component Throughout the 3D-Printing 3DP Value Chain
Types of AI In Additive Manufacturing
Core AI Technologies: Key Differences in Agentic and Generative AI in Additive Manufacturing
Emerging Trends Impacting AI-Driven 3D Printing
AI-Driven 3D Printing Ecosystem-Market Participants
3D Printing 3DP Market-Value Chain Mapping
Integration of Enabling Technologies
Key R&D Innovation Themes in AI-Based 3DP
Regional Trends and Impact of AI-Driven Additive Manufacturing
AI-Driven 3D Printing Patent Research Focus Areas
Key Funding Deals and Focus Areas
Major Players and Latest Developments in AI-Driven 3D Printing
Recent Partnerships & M&A in AI-Driven Additive Manufacturing
AI-Driven Additive Manufacturing-SWOT Analysis
AI-Driven 3DP-Case Study Example 1: ValCUN, Belgium
AI-Driven 3DP-Case Study Example 2: HP Inc, USA and Volkswagen Group, Germany
Business Models for AI-Based 3D Printing Technologies
AI-Driven 3D Printing Roadmap: Autonomous & Resilient Architectures Are Set to Dominate Smart Factories