Cover Image
Market Research Report

Opportunities Analysis : Convergence of AI in 3D Printing

Published by Frost & Sullivan Product code 953247
Published Content info 41 Pages
Delivery time: 1-2 business days
Back to Top
Opportunities Analysis : Convergence of AI in 3D Printing
Published: July 31, 2020 Content info: 41 Pages

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
Product Code: D9AA

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
Back to Top