AI-Enabled Sorting Systems for Dark Plastics Market Size, Share, and Trends 2026 to 2035

AI-Enabled Sorting Systems for Dark Plastics Market (By End-use/Application: MRFs & recycling plants, Packaging recycling, Large-scale sorting hubs, Urban recycling, Municipal recycling, Precision recycling; By Sorting System/Type: Optical + AI sorters, NIR + AI hybrid systems, Conveyor-integrated AI sorters, Compact AI sorters, Others; By Material Stream: Black & dark plastics, Dark rigid packaging, Mixed dark polymers, Dark mixed plastics, Others; By Technology: Hyperspectral imaging + AI classification, Deep-learning vision systems , Real-time AI material recognition, Cost-optimized AI algorithms, Others) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 12 Feb 2026  |  Report Code : 7672  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on AI-Enabled Sorting Systems for Dark Plastics Market 

5.1. COVID-19 Landscape: AI-Enabled Sorting Systems for Dark Plastics Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global AI-Enabled Sorting Systems for Dark Plastics Market, By End-use/Application

8.1. AI-Enabled Sorting Systems for Dark Plastics Market, by End-use/Application

8.1.1. MRFs & recycling plants

8.1.1.1. Market Revenue and Forecast

8.1.2. Packaging recycling

8.1.2.1. Market Revenue and Forecast

8.1.3. Large-scale sorting hubs

8.1.3.1. Market Revenue and Forecast

8.1.4. Urban recycling

8.1.4.1. Market Revenue and Forecast

8.1.5. Municipal recycling

8.1.5.1. Market Revenue and Forecast

Chapter 9. Global AI-Enabled Sorting Systems for Dark Plastics Market, By Sorting System/Type

9.1. AI-Enabled Sorting Systems for Dark Plastics Market, by Sorting System/Type

9.1.1. Optical + AI sorters

9.1.1.1. Market Revenue and Forecast

9.1.2. NIR + AI hybrid systems

9.1.2.1. Market Revenue and Forecast

9.1.3. Conveyor-integrated AI sorters

9.1.3.1. Market Revenue and Forecast

9.1.4. Compact AI sorters

9.1.4.1. Market Revenue and Forecast

9.1.5. Others

9.1.5.1. Market Revenue and Forecast

Chapter 10. Global AI-Enabled Sorting Systems for Dark Plastics Market, By Material Stream 

10.1. AI-Enabled Sorting Systems for Dark Plastics Market, by Material Stream

10.1.1. Black & dark plastics

10.1.1.1. Market Revenue and Forecast

10.1.2. Dark rigid packaging

10.1.2.1. Market Revenue and Forecast

10.1.3. Mixed dark polymers

10.1.3.1. Market Revenue and Forecast

10.1.4. Dark mixed plastics

10.1.4.1. Market Revenue and Forecast

10.1.5. Others

10.1.5.1. Market Revenue and Forecast

Chapter 11. Global AI-Enabled Sorting Systems for Dark Plastics Market, By Technology 

11.1. AI-Enabled Sorting Systems for Dark Plastics Market, by Technology

11.1.1. Hyperspectral imaging + AI classification

11.1.1.1. Market Revenue and Forecast

11.1.2. Deep-learning vision systems

11.1.2.1. Market Revenue and Forecast

11.1.3. Real-time AI material recognition

11.1.3.1. Market Revenue and Forecast

11.1.4. Cost-optimized AI algorithms

11.1.4.1. Market Revenue and Forecast

11.1.5. Others

11.1.5.1. Market Revenue and Forecast

Chapter 12. Global AI-Enabled Sorting Systems for Dark Plastics Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by End-use/Application

12.1.2. Market Revenue and Forecast, by Sorting System/Type

12.1.3. Market Revenue and Forecast, by Material Stream

12.1.4. Market Revenue and Forecast, by Technology

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by End-use/Application

12.1.5.2. Market Revenue and Forecast, by Sorting System/Type

12.1.5.3. Market Revenue and Forecast, by Material Stream

12.1.5.4. Market Revenue and Forecast, by Technology

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by End-use/Application

12.1.6.2. Market Revenue and Forecast, by Sorting System/Type

12.1.6.3. Market Revenue and Forecast, by Material Stream

12.1.6.4. Market Revenue and Forecast, by Technology

12.2. Europe

12.2.1. Market Revenue and Forecast, by End-use/Application

12.2.2. Market Revenue and Forecast, by Sorting System/Type

12.2.3. Market Revenue and Forecast, by Material Stream

12.2.4. Market Revenue and Forecast, by Technology

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by End-use/Application

12.2.5.2. Market Revenue and Forecast, by Sorting System/Type

12.2.5.3. Market Revenue and Forecast, by Material Stream

12.2.5.4. Market Revenue and Forecast, by Technology

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by End-use/Application

12.2.6.2. Market Revenue and Forecast, by Sorting System/Type

12.2.6.3. Market Revenue and Forecast, by Material Stream

12.2.6.4. Market Revenue and Forecast, by Technology

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by End-use/Application

12.2.7.2. Market Revenue and Forecast, by Sorting System/Type

12.2.7.3. Market Revenue and Forecast, by Material Stream

12.2.7.4. Market Revenue and Forecast, by Technology

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by End-use/Application

12.2.8.2. Market Revenue and Forecast, by Sorting System/Type

12.2.8.3. Market Revenue and Forecast, by Material Stream

12.2.8.4. Market Revenue and Forecast, by Technology

12.3. APAC

12.3.1. Market Revenue and Forecast, by End-use/Application

12.3.2. Market Revenue and Forecast, by Sorting System/Type

12.3.3. Market Revenue and Forecast, by Material Stream

12.3.4. Market Revenue and Forecast, by Technology

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by End-use/Application

12.3.5.2. Market Revenue and Forecast, by Sorting System/Type

12.3.5.3. Market Revenue and Forecast, by Material Stream

12.3.5.4. Market Revenue and Forecast, by Technology

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by End-use/Application

12.3.6.2. Market Revenue and Forecast, by Sorting System/Type

12.3.6.3. Market Revenue and Forecast, by Material Stream

12.3.6.4. Market Revenue and Forecast, by Technology

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by End-use/Application

12.3.7.2. Market Revenue and Forecast, by Sorting System/Type

12.3.7.3. Market Revenue and Forecast, by Material Stream

12.3.7.4. Market Revenue and Forecast, by Technology

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by End-use/Application

12.3.8.2. Market Revenue and Forecast, by Sorting System/Type

12.3.8.3. Market Revenue and Forecast, by Material Stream

12.3.8.4. Market Revenue and Forecast, by Technology

12.4. MEA

12.4.1. Market Revenue and Forecast, by End-use/Application

12.4.2. Market Revenue and Forecast, by Sorting System/Type

12.4.3. Market Revenue and Forecast, by Material Stream

12.4.4. Market Revenue and Forecast, by Technology

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by End-use/Application

12.4.5.2. Market Revenue and Forecast, by Sorting System/Type

12.4.5.3. Market Revenue and Forecast, by Material Stream

12.4.5.4. Market Revenue and Forecast, by Technology

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by End-use/Application

12.4.6.2. Market Revenue and Forecast, by Sorting System/Type

12.4.6.3. Market Revenue and Forecast, by Material Stream

12.4.6.4. Market Revenue and Forecast, by Technology

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by End-use/Application

12.4.7.2. Market Revenue and Forecast, by Sorting System/Type

12.4.7.3. Market Revenue and Forecast, by Material Stream

12.4.7.4. Market Revenue and Forecast, by Technology

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by End-use/Application

12.4.8.2. Market Revenue and Forecast, by Sorting System/Type

12.4.8.3. Market Revenue and Forecast, by Material Stream

12.4.8.4. Market Revenue and Forecast, by Technology

12.5. Latin America

12.5.1. Market Revenue and Forecast, by End-use/Application

12.5.2. Market Revenue and Forecast, by Sorting System/Type

12.5.3. Market Revenue and Forecast, by Material Stream

12.5.4. Market Revenue and Forecast, by Technology

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by End-use/Application

12.5.5.2. Market Revenue and Forecast, by Sorting System/Type

12.5.5.3. Market Revenue and Forecast, by Material Stream

12.5.5.4. Market Revenue and Forecast, by Technology

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by End-use/Application

12.5.6.2. Market Revenue and Forecast, by Sorting System/Type

12.5.6.3. Market Revenue and Forecast, by Material Stream

12.5.6.4. Market Revenue and Forecast, by Technology

Chapter 13. Company Profiles

13.1. TOMRA Recycling

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. AMP (formerly AMP Robotics)

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Greyparrot

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. Pellenc ST

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. ZenRobotics

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Steinert

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Everest Labs

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Machinex

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Machinex

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. BHS (Bulk Handling Systems)

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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Frequently Asked Questions

Answer : The AI-enabled sorting systems for dark plastics market size is expected to increase from USD 526.18 million in 2025 to USD 1,573.98 million by 2035.

Answer : The AI-enabled sorting systems for dark plastics market is expected to grow at a compound annual growth rate (CAGR) of around 11.58% from 2026 to 2035.

Answer : The driving factors of the AI-enabled sorting systems for dark plastics market are the rising volume of plastic waste, the limitations of conventional manual and optical sorting methods in identifying dark plastics, and increasingly stringent environmental regulations imposed on manufacturers.

Answer : North America region will lead the global AI-enabled sorting systems for dark plastics market during the forecast period 2026 to 2035.

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