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2106571

資源回收自動化市場預測至2034年—全球設備、技術、資源類型、自動化程度、最終用戶和區域分析

Material Recovery Automation Market Forecasts to 2034 - Global Analysis By Equipment, Technology, Material Type, Automation Level, End User, and Geography

出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據,預計到 2026 年,全球自動化材料回收市場規模將達到 68 億美元,並在預測期內以 16.8% 的複合年成長率成長,到 2034 年將達到 235 億美元。

資源回收自動化是指利用機器人、人工智慧、機器視覺、自動分類系統和先進感測技術,從廢棄物和廢棄產品中識別、分離、處理和回收有價值的材料。這些自動化解決方案提高了回收和資源回收作業的效率、準確性和擴充性,同時減少了人工勞動和材料損失。資源回收自動化透過提高回收率、改善材料品質和最大限度地利用資源,支持循環經濟計劃。對永續廢棄物管理和資源保護日益成長的需求正在推動全球範圍內資源回收自動化技術的應用。

對自動化回收的需求日益成長

自動化資源回收利用智慧型設備、機器人、感測器和人工智慧,以更高的效率和精度從混合廢棄物流中識別、分類和回收有價值的可回收材料。回收設施正擴大採用自動化技術,以提高處理能力並減少人工干預。不斷成長的廢棄物量推動了對先進回收系統的投資。自動化在提高材料純度的同時,也提高了營運效率。持續的技術進步正在加速回收基礎設施的現代化。自動化回收技術正在改變廢棄物管理的未來。

複雜混合廢棄物的分類處理過程

混合廢棄物包含各種尺寸、成分和污染程度不同的材料,這使得準確分類在技術上極具挑戰性。收集設施需要先進的檢測技術才能實現高回收效率。系統最佳化通常會增加實施的複雜性和營運成本。技術開發人員不斷改進分類演算法和感測器效能。這種持續的創新正在推動收集精度的提高。高效處理混合廢棄物仍然是該行業面臨的一項重大挑戰。

電子廢棄物回收的擴展

隨著廢棄電子產品數量的增加,市場對能夠有效提取貴金屬和可回收材料的自動化回收系統的需求日益成長。先進的自動化技術提高了回收率,同時縮短了處理時間並降低了營運成本。回收設施正在投資專門的技術來處理複雜的電子廢棄物流程。技術進步不斷提高材料辨識的準確性。資源回收工作的不斷擴展正在支撐市場的長期成長。電子廢棄物回收正在為自動化解決方案供應商創造新的成長機會。

廢棄物管理法規的變化

頻繁的監管更新迫使回收商和設備製造商調整其加工技術和操作流程,以確保合規。新的環境標準可能會增加設備改造成本和認證要求。各公司持續投資於靈活的自動化系統,以支援合規性。政策的不斷變化推動著科技的持續升級。監管的不確定性可能會影響某些地區的投資計劃。合規性仍然是影響市場發展的關鍵因素。

新型冠狀病毒(COVID-19)的影響:

新冠疫情導致人手不足,並擾亂了廢棄物收集和處理活動,從而對回收業務造成了暫時性的影響。隨著工業活動的復甦,回收設施加快了對自動化的投資,以增強營運韌性,減少對勞動力的依賴,並保持處理效率。隨著廢棄物量的持續成長,對智慧收集系統的需求也隨之增加。數位化監控和自動化操作在整個回收設施中變得日益重要。對收集環節的投資促進了先進自動化技術的應用。

在預測期內,分類系統細分市場預計將佔據最大的市場佔有率。

由於分類系統能夠精確分離可回收材料,顯著提高回收效率和材料質量,預計在預測期內,分類系統細分市場將佔據最大的市場佔有率。先進的分類技術在減少污染物的同時,也能提升回收處理能力。回收設施持續投資智慧分類設備,以最佳化處理流程。感測器技術的不斷進步正在提升系統性能。對高效回收日益成長的需求正在推動其應用。分類系統仍然是自動化材料回收作業的基礎。

預計在預測期內,智慧自動化領域將呈現最高的複合年成長率。

在預測期內,由於人工智慧在回收設施的應用日益廣泛,智慧自動化領域預計將呈現最高的成長率。智慧自動化能夠實現即時材料識別、預測系統最佳化並提高營運效率。回收企業正在採用智慧技術來提高回收率並降低營運成本。機器人技術和機器視覺的持續進步正在加速技術的應用。數位轉型正在為下一代廢棄物管理系統奠定基礎。智慧自動化有望成為資源回收領域成長最快的細分市場。

市佔率最大的地區:

在預測期內,由於歐洲地區強力的回收政策,預計該地區將佔據最大的市場佔有率。該地區各國政府持續推動循環經濟舉措,並致力於發展先進的廢棄物回收基礎設施。回收設施正投資自動化技術以提高資源回收效率。高標準的環保措施推動了智慧回收系統的廣泛應用。持續創新是該地區市場領先地位的基石。歐洲將繼續保持其在自動化資源回收領域的主要市場地位。

複合年成長率最高的地區:

在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於廢棄物回收基礎設施的擴張。各國政府和私人企業都在投資建造配備先進自動化技術的現代化回收設施。隨著工業化的推進,對高效能廢棄物處理系統的需求日益成長。技術的不斷應用持續提升全部區域的回收能力。持續的基礎設施建設也為市場的持續成長提供了支撐。亞太地區有望成為自動化材料回收領域成長最快的市場。

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  • 企業概況
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    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章:研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章:競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章:全球資源回收自動化市場:依設備類型分類

  • 分類系統
  • 機器人收集系統
  • 傳送系統
  • 其他設備

第6章 全球資源回收自動化市場:依技術分類

  • 光學分選
  • 人工智慧
  • 機器人技術
  • 機器視覺
  • 其他技術

第7章 全球資源回收自動化市場:依材料類型分類

  • 塑膠
  • 金屬
  • 紙張和紙板
  • 玻璃
  • 其他材料類型

第8章:全球資源回收自動化市場:依自動化程度分類

  • 半自動
  • 全自動
  • 智慧自動化
  • 其他自動化級別

第9章 全球資源回收自動化市場:依最終用戶分類

  • 資源回收設施
  • 回收公司
  • 廢棄物管理公司
  • 工業回收設施
  • 其他最終用戶

第10章:全球資源回收自動化市場:依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區(RoW)
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章:公司簡介

  • TOMRA Systems ASA
  • Pellenc ST
  • Machinex Industries Inc.
  • Bulk Handling Systems, Inc.
  • AMP Robotics Corporation
  • ZenRobotics Ltd.
  • CP Manufacturing, Inc.
  • General Kinematics Corporation
  • STEINERT GmbH
  • Sesotec GmbH
  • Eriez Manufacturing Co.
  • Bollegraaf Recycling Solutions
  • REDWAVE
  • Kiverco Ltd.
  • Bezner Anlagen-und Maschinenbau GmbH
Product Code: SMRC38623

According to Stratistics MRC, the Global Material Recovery Automation Market is accounted for $6.8 billion in 2026 and is expected to reach $23.5 billion by 2034 growing at a CAGR of 16.8% during the forecast period. Material recovery automation refers to the use of robotics, artificial intelligence, machine vision, automated sorting systems, and advanced sensing technologies to identify, separate, process, and recover valuable materials from waste streams and end-of-life products. These automated solutions improve the efficiency, accuracy, and scalability of recycling and resource recovery operations while reducing manual labor and material losses. Material recovery automation supports circular economy initiatives by increasing recycling rates, improving material quality, and maximizing resource utilization. Rising demand for sustainable waste management and resource conservation is driving the adoption of material recovery automation technologies worldwide.

Market Dynamics:

Driver:

Rising recycling automation demand

Material recovery automation uses intelligent equipment robotics sensors and artificial intelligence to identify separate and recover valuable recyclable materials from mixed waste streams with greater efficiency and accuracy. Recycling facilities are increasingly adopting automated technologies to improve processing capacity and reduce manual intervention. Growing waste generation is encouraging investments in advanced recovery systems. Automation enhances material purity while improving operational productivity. Continuous technological advancements are accelerating the modernization of recycling infrastructure. Automated recovery technologies are transforming the future of waste management.

Restraint:

Complex mixed-waste sorting processes

Mixed waste contains materials with varying sizes compositions and contamination levels making accurate separation technically challenging. Recovery facilities require sophisticated detection technologies to achieve high recycling efficiency. System optimization often increases implementation complexity and operating costs. Technology developers continue improving sorting algorithms and sensor capabilities. Continuous innovation is helping increase recovery accuracy. Efficient mixed-waste processing remains a key challenge for the industry.

Opportunity:

Expansion in electronic waste recycling

Growing volumes of discarded electronic products are increasing demand for automated recovery systems capable of extracting valuable metals and reusable materials efficiently. Advanced automation improves recovery rates while reducing processing time and operational costs. Recycling facilities are investing in specialized technologies for complex electronic waste streams. Technological advancements continue improving material identification accuracy. Increasing resource recovery initiatives are supporting long-term market expansion. Electronic waste recycling is creating new growth opportunities for automation providers.

Threat:

Changing waste management regulations

Frequent regulatory updates require recycling operators and equipment manufacturers to adapt processing technologies and operational practices to maintain compliance. New environmental standards may increase equipment modification costs and certification requirements. Companies continue investing in flexible automation systems that support regulatory compliance. Ongoing policy changes encourage continuous technology upgrades. Regulatory uncertainty may affect investment planning in some regions. Compliance remains an important factor shaping market development.

Covid-19 Impact:

The COVID-19 pandemic temporarily disrupted recycling operations due to workforce shortages and interruptions in waste collection and processing activities. As industrial activity recovered recycling facilities accelerated investments in automation to improve operational resilience reduce labor dependency and maintain processing efficiency. Demand for intelligent recovery systems increased as waste volumes continued to grow. Digital monitoring and automated operations became increasingly important across recycling facilities. Recovery investments strengthened the adoption of advanced automation technologies.

The sorting systems segment is expected to be the largest during the forecast period

The sorting systems segment is expected to account for the largest market share during the forecast period as their ability to accurately separate recyclable materials significantly improves recovery efficiency and material quality. Advanced sorting technologies reduce contamination while increasing recycling throughput. Recycling facilities continue investing in intelligent sorting equipment to optimize processing operations. Continuous improvements in sensor technologies are enhancing system performance. Growing demand for efficient recycling supports widespread adoption. Sorting systems remain the foundation of automated material recovery operations.

The smart automated segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the smart automated segment is predicted to witness the highest growth rate due to growing adoption of artificial intelligence in recycling facilities. Intelligent automation enables real-time material identification predictive system optimization and improved operational efficiency. Recycling operators are deploying smart technologies to increase recovery rates and reduce operating costs. Continuous advancements in robotics and machine vision are accelerating technology adoption. Digital transformation is supporting next-generation waste processing systems. Smart automation is expected to become the fastest-growing segment in material recovery.

Region with largest share:

During the forecast period, the Europe region is expected to hold the largest market share owing to strong recycling policies. Governments across the region continue promoting circular economy initiatives and advanced waste recovery infrastructure. Recycling facilities are investing in automated technologies to improve material recovery efficiency. High environmental standards encourage widespread adoption of intelligent recycling systems. Continuous innovation supports regional market leadership. Europe remains the leading market for material recovery automation.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by expanding waste recycling infrastructure. Governments and private operators are investing in modern recycling facilities equipped with advanced automation technologies. Rising industrialization is increasing demand for efficient waste processing systems. Technology adoption continues improving recycling capacity across the region. Ongoing infrastructure development supports sustained market growth. Asia Pacific is expected to emerge as the fastest-growing market for material recovery automation.

Key players in the market

Some of the key players in Material Recovery Automation Market include TOMRA Systems ASA, Pellenc ST, Machinex Industries Inc., Bulk Handling Systems, Inc., AMP Robotics Corporation, ZenRobotics Ltd., CP Manufacturing, Inc., General Kinematics Corporation, STEINERT GmbH, Sesotec GmbH, Eriez Manufacturing Co., Bollegraaf Recycling Solutions, REDWAVE, Kiverco Ltd. and Bezner Anlagen- und Maschinenbau GmbH.

Key Developments:

In May 2026, Machinex Industries Inc. executed an advanced technological product launch by introducing its new unified artificial intelligence platform called MIND(TM) at the IFAT Munich trade exhibition. This software deployment links real-time sorting analytics across distinct material recovery facilities, creating an automated command center that allows facility operators to track localized purity metrics and optimize system-wide mechanical performance.

In October 2024, TOMRA Systems ASA completed a major geographic and technology acquisition by purchasing an 80% controlling stake in German digital waste management leader c-trace GmbH. This corporate transaction integrates advanced vehicle telematics and AI-driven municipal waste software directly into TOMRA's ecosystem, establishing a diversified digital lifecycle platform to scale circular resource tracking globally.

Equipment's Covered:

  • Sorting Systems
  • Robotic Recovery Systems
  • Conveyor Systems
  • Other Equipment's

Technologies Covered:

  • Optical Sorting
  • Artificial Intelligence
  • Robotics
  • Machine Vision
  • Other Technologies

Material Types Covered:

  • Plastics
  • Metals
  • Paper & Cardboard
  • Glass
  • Other Material Types

Automation Levels Covered:

  • Semi-Automated
  • Fully Automated
  • Smart Automated
  • Other Automation Levels

End Users Covered:

  • Material Recovery Facilities
  • Recycling Companies
  • Waste Management Companies
  • Industrial Recycling Facilities
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Material Recovery Automation Market, By Equipment

  • 5.1 Sorting Systems
  • 5.2 Robotic Recovery Systems
  • 5.3 Conveyor Systems
  • 5.4 Other Equipment

6 Global Material Recovery Automation Market, By Technology

  • 6.1 Optical Sorting
  • 6.2 Artificial Intelligence
  • 6.3 Robotics
  • 6.4 Machine Vision
  • 6.5 Other Technologies

7 Global Material Recovery Automation Market, By Material Type

  • 7.1 Plastics
  • 7.2 Metals
  • 7.3 Paper & Cardboard
  • 7.4 Glass
  • 7.5 Other Material Types

8 Global Material Recovery Automation Market, By Automation Level

  • 8.1 Semi-Automated
  • 8.2 Fully Automated
  • 8.3 Smart Automated
  • 8.4 Other Automation Levels

9 Global Material Recovery Automation Market, By End User

  • 9.1 Material Recovery Facilities
  • 9.2 Recycling Companies
  • 9.3 Waste Management Companies
  • 9.4 Industrial Recycling Facilities
  • 9.5 Other End Users

10 Global Material Recovery Automation Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 TOMRA Systems ASA
  • 13.2 Pellenc ST
  • 13.3 Machinex Industries Inc.
  • 13.4 Bulk Handling Systems, Inc.
  • 13.5 AMP Robotics Corporation
  • 13.6 ZenRobotics Ltd.
  • 13.7 CP Manufacturing, Inc.
  • 13.8 General Kinematics Corporation
  • 13.9 STEINERT GmbH
  • 13.10 Sesotec GmbH
  • 13.11 Eriez Manufacturing Co.
  • 13.12 Bollegraaf Recycling Solutions
  • 13.13 REDWAVE
  • 13.14 Kiverco Ltd.
  • 13.15 Bezner Anlagen- und Maschinenbau GmbH

List of Tables

  • Table 1 Global Material Recovery Automation Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Material Recovery Automation Market, By Equipment (2023-2034) ($MN)
  • Table 3 Global Material Recovery Automation Market, By Sorting Systems (2023-2034) ($MN)
  • Table 4 Global Material Recovery Automation Market, By Robotic Recovery Systems (2023-2034) ($MN)
  • Table 5 Global Material Recovery Automation Market, By Conveyor Systems (2023-2034) ($MN)
  • Table 6 Global Material Recovery Automation Market, By Other Equipment (2023-2034) ($MN)
  • Table 7 Global Material Recovery Automation Market, By Technology (2023-2034) ($MN)
  • Table 8 Global Material Recovery Automation Market, By Optical Sorting (2023-2034) ($MN)
  • Table 9 Global Material Recovery Automation Market, By Artificial Intelligence (2023-2034) ($MN)
  • Table 10 Global Material Recovery Automation Market, By Robotics (2023-2034) ($MN)
  • Table 11 Global Material Recovery Automation Market, By Machine Vision (2023-2034) ($MN)
  • Table 12 Global Material Recovery Automation Market, By Other Technologies (2023-2034) ($MN)
  • Table 13 Global Material Recovery Automation Market, By Material Type (2023-2034) ($MN)
  • Table 14 Global Material Recovery Automation Market, By Plastics (2023-2034) ($MN)
  • Table 15 Global Material Recovery Automation Market, By Metals (2023-2034) ($MN)
  • Table 16 Global Material Recovery Automation Market, By Paper & Cardboard (2023-2034) ($MN)
  • Table 17 Global Material Recovery Automation Market, By Glass (2023-2034) ($MN)
  • Table 18 Global Material Recovery Automation Market, By Other Material Types (2023-2034) ($MN)
  • Table 19 Global Material Recovery Automation Market, By Automation Level (2023-2034) ($MN)
  • Table 20 Global Material Recovery Automation Market, By Semi-Automated (2023-2034) ($MN)
  • Table 21 Global Material Recovery Automation Market, By Fully Automated (2023-2034) ($MN)
  • Table 22 Global Material Recovery Automation Market, By Smart Automated (2023-2034) ($MN)
  • Table 23 Global Material Recovery Automation Market, By Other Automation Levels (2023-2034) ($MN)
  • Table 24 Global Material Recovery Automation Market, By End User (2023-2034) ($MN)
  • Table 25 Global Material Recovery Automation Market, By Material Recovery Facilities (2023-2034) ($MN)
  • Table 26 Global Material Recovery Automation Market, By Recycling Companies (2023-2034) ($MN)
  • Table 27 Global Material Recovery Automation Market, By Waste Management Companies (2023-2034) ($MN)
  • Table 28 Global Material Recovery Automation Market, By Industrial Recycling Facilities (2023-2034) ($MN)
  • Table 29 Global Material Recovery Automation Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.