The report includes:
- Impact analysis of artificial intelligence (AI) on global plastic recycling market
- Case studies for successful integration of AI and machine learning (ML) for innovations in optimizing and improving plastic recycling and reprocessing processes
- Insights of current trends of AI adoption in the plastics industry across the major geographic regions and key industry verticals
- Understanding of the market disruptions across key industry verticals and AI impact on various stages of the value chain
- A competitive landscape featuring strategic initiatives, market spendings and VC funding outlook
Table of Contents
Chapter 1 Key Use Cases for AI Adoption in the Global Plastics Recycling Market- Overview
- Key Use Cases/Case Studies
- Overview
- Case 1: AI-Driven Robotic Sorting by AMP Robotics
- Case 2: Waste Stream Intelligence by Greyparrot
- Case 3: AI-Powered Optical Sorting by TOMRA Recycling
- Adoption Trends by Region
- Adoption Trends in North America
- Adoption Trends in Europe
- Adoption Trends in Asia-Pacific
- Adoption Trends in the Rest of the World
- Overview
- Impact of AI on Key Industry Verticals
- Impact of AI on Various Stages of the Supply Chain
- Key Spending by Companies on AI
- Abbreviations Used in the Report
Table 1: Key Investments in Plastics Recycling Market, 2023-2025
Table 2: Abbreviations Used in This Report

