表紙
市場調查報告書

3D列印中的AI融合:機會分析

Opportunities Analysis : Convergence of AI in 3D Printing

出版商 Frost & Sullivan 商品編碼 953247
出版日期 內容資訊 英文 41 Pages
商品交期: 最快1-2個工作天內
價格
3D列印中的AI融合:機會分析 Opportunities Analysis : Convergence of AI in 3D Printing
出版日期: 2020年07月31日內容資訊: 英文 41 Pages
簡介

增材製造是用於新組件的設計,快速原型製作和製造的增長最快的技術之一。隨著智能製造和工業4.0的出現,增材製造所帶來的技術優勢導致其在製造的各個領域得到採用,並提高了該技術的整體性能。重要的研究已經完成。技術上的最新進展與用於任務學習,協作機器人和人工智能等其他先進技術的技術學習有關。

該報告調查了3D列印中的AI,並提供了有關3D打印行業中AI機會,基於AI的3D列印的專利分析,行業增長因素和挑戰以及技術基準的信息。

目錄

第1章執行摘要

  • 調查範圍
  • 調查方法
  • 調查方法概述

第2章主要發現

  • 主要發現

第3章技術概述

  • 3D列印技術中的AI概述
  • 金屬3D列印技術導致製造業混亂
  • 基於FDM的3D列印技術的採用率很高

第4章主要參與公司的生態系統和技術進步

  • 最近的工業活動和技術進步
  • 技術開發佔據了大部分基於AI的3D列印技術

第5章技術增長的因素和挑戰

  • 增長因素:改進的技術記錄,技術集成
  • 問題:AI與3D列印技術的複雜集成

第6章各個行業的技術影響

  • 在航空航天和汽車行業首次採用基於AI的3D列印
  • 所有行業的廣泛技術應用

第7章技術融合專利趨勢

  • 未來幾年技術融合專利活動顯著增加

第8章技術融合基準

  • 高科技可以滿足市場需求
  • 廣泛的應用是技術採用的關鍵
  • 滿足行業需求的能力,這是大規模部署的關鍵

第9章剛果的機會和商業模式

  • 增材製造行業的AI軟件機遇和商業模式
  • 技術和硬件開發人員的商業模式機會
  • 軟件提供商的業務模型機會

第10章3D列印中AI的未來

  • 融合可能破壞製造的胚胎技術

第11章COVID-19的影響

  • COVID-19對製造業的影響

第12章主要聯繫人

目錄
Product Code: D9AA

The Convergence of Artificial Intelligence with 3D Printing is the Future of Smart and Digital Manufacturing

Additive Manufacturing is one of the rapidly growing technologies being adopted for designing, rapid prototyping and manufacturing of new components. With the advent of smart manufacturing and Industry 4.0, the technological advantages enabled by additive manufacturing have allowed it to be adopted by diverse sectors across the manufacturing industry. There has been significant research with respect to improving the technologies' overall performance. Recent advancement in the technology are pertaining to technology convergence of other advanced technologies like mission learning, cobots and artificial intelligence.

This research service titled 'Opportunity Analysis: Convergence of AI in 3D Printing' reviews the opportunities and future of artificial intelligence technology in the 3D printing industry.

The study provides the following:

  • An overview of artificial intelligence opportunities in the 3D printing industry
  • Patent analysis of AI-based 3D printing between 2017-2020
  • Industry drivers and challenges
  • Key companies and advancements in the Industry
  • Opportunity and technology benchmarking
  • Opportunities and business models

Table of Contents

1.0 Executive Summary

  • 1.1. Research Scope
  • 1.2. Research Methodology
  • 1.3. Explanation of Research Methodology

2.0 Key Findings

  • 2.1. Key Findings
  • 2.1. Key Findings (Continued)

3.0. Technology Overview

  • 3.1. An Overview of Artificial Intelligence in 3D Printing Technology
  • 3.2. Metal 3D Printing Technology is Anticipated to Disrupt the Manufacturing Industry
  • 3.3. FDM-based 3D Printing Technology Seems to have the Highest Adoption Rate

4.0. Key Participants Ecosystem and Technology Advancement

  • 4.1. Recent Industry Activities and Technology Advancement
  • 4.2. Most of the Technology Development is with Respect to AI-based 3D Printing Technology

5.0. Technology Drivers and Challenges

  • 5.1. Improved Technological Performance is the Key Driver for Technology Convergence
  • 5.2. The Complicated Integration of AI with 3D Printing Technology is a Major Hindrance for Technology Development

6.0. Impact of the Technology across Various Industries

  • 6.1. AI-based 3D Printing is Expected to be First Adopted by the Aerospace and Automotive Industries
  • 6.2. Large Breadth of Technological Applications across all Industries

7.0. Technology Convergence--Patent Trends

  • 7.1. The Patent Activity for Technology Convergence is Anticipated to Tremendously Increase in the Coming Years

8.0. Technology Convergence Benchmarking

  • 8.1. Technology Ability for Serving Market Requirements is Very High
  • 8.2. Breadth of Applications is the Key for Adoption of the Technology
  • 8.3. Ability to Serve Industry Requirements is Key for Wide-Scale Adoption

9.0. Future Opportunities and Business Models

  • 9.1. Opportunity and Business Model for Artificial Intelligence Software in the Additive Manufacturing Industry
  • 9.2. Business Model Opportunity for Technology and Hardware Developers
  • 9.3. Business Model Opportunity for Software Providers has a Wide Value Chain

10.0. Future of AI in 3D Printing

  • 10.1. An Embryonic Technology Convergence with Potential to Disrupt the Manufacturing Industry

11.0. COVID-19 Impact

  • 11.1. Impact of COVID-19 on the Manufacturing Industry

12.0 Key Contacts

  • 12.1. Key Contacts
  • Legal Disclaimer