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1865511

全球智慧廢棄物管理和垃圾物聯網（IoW）市場：預測至2032年－按組件、廢棄物趨勢、部署方法、相關人員、技術、應用和區域進行分析

Smart Waste Management & Internet of Waste Market Forecasts to 2032 - Global Analysis By Component (Hardware, Software and Services), Waste Stream, Deployment Model, Stakeholder, Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratestix MRC 的一項研究，預計到 2025 年，全球智慧廢棄物管理/廢棄物網際網路 (IoW) 市場價值將達到 68.3 億美元，預計在預測期內將以 15.1% 的複合年成長率成長，到 2032 年達到 182.7 億美元。

智慧廢棄物管理/垃圾網際網路（IoW）框架利用物聯網連接、自動化和資料智慧，徹底革新廢棄物和回收流程。配備智慧感測器的廢棄物容器可即時傳輸容量數據，從而最佳化收集計劃，降低燃料和維護成本。該系統透過整合數位網路，實現廢棄物產生者、服務提供者和回收商之間的無縫協作。先進的分析和人工智慧工具增強了決策能力，使城市能夠預測廢棄物模式並制定永續計畫。透過廢棄物管理營運的數位化，垃圾網際網路提升了營運透明度、生態效率和循環經濟模式，進而減少對掩埋的依賴，提高資源利用率。

根據 TERI 發布的《2023 年廢棄物管理狀況報告》的數據，印度每年產生 6,200 萬至 7,200 萬噸城市固態廢棄物，預計到 2030 年，由於都市化和消費模式的變化，這一數字將上升到 1.25 億至 1.65 億噸。

都市化加速和廢棄物產生量增加

隨著全球都市化進程的加速，都市固體廢棄物的產生量顯著增加，為傳統的處理系統帶來了挑戰。智慧廢棄物管理和垃圾物聯網（IoT）技術透過即時監控、智慧路線規劃和自動化收集，提供了有效的解決方案。安裝在垃圾桶上的物聯網感測器可以最佳化收集計劃，提高效率，減少垃圾溢出和碳排放。城市管理部門正致力於發展永續的數位基礎設施，以改善廢棄物管理和環境衛生。日益成長的城市廢棄物管理需求，以及政策主導的智慧城市建設舉措，正在推動已開發國家和開發中國家對先進的互聯廢棄物管理解決方案的市場需求。

安裝和維修成本高昂

智慧廢棄物管理/垃圾物聯網（IoW）市場面臨許多限制因素，其中最主要的限制因素是系統實施的高昂初始成本和持續營運成本。建構物聯網網路、購買智慧垃圾桶以及整合分析平台都需要大量資金投入。此外，維護、資料儲存和軟體更新等相關成本也加重了整體財務負擔。小規模的市政當局和私人營運商往往缺乏維護此類先進系統的資金或專業知識。這種經濟障礙限制了系統的大規模應用，尤其是在資金仍然匱乏的開發中國家。因此，基礎設施建設的高昂成本仍然是智慧廢棄物管理系統廣泛應用的主要障礙。

循環經濟和資源回收計劃

全球向循環經濟原則和高效資源回收的轉變，為智慧廢棄物管理和廢棄物物聯網（IoW）領域帶來了寶貴的機會。先進的物聯網平台能夠實現精準的廢棄物監測、分類和回收，從而提高收集率並減少對掩埋的依賴。各國政府和私人企業正在增加對廢棄物發電和回收基礎設施的投資，以促進永續發展。智慧廢棄物解決方案提供的數據可用於最佳化資源流動和追蹤環境影響。隨著各組織將環保實踐和合規性置於優先地位，廢棄物物聯網技術對於實現循環經濟目標至關重要，並將推動智慧廢棄物管理市場的創新和長期發展。

意識薄弱且缺乏技能

智慧廢棄物管理/垃圾物聯網（IoW）市場的發展受到認知不足和專業人才匱乏的威脅。許多地方政府和廢棄物管理業者對基於物聯網的系統及其長期效益缺乏了解。缺乏數據分析、軟體整合和網路安全方面的技術知識阻礙了系統的順利實施。人才短缺迫使他們依賴第三方供應商，從而增加了營運成本和實施時間。此外，缺乏系統性的培訓和宣傳計劃也限制了不同地區對技術的熟悉程度。如果沒有訓練有素的人員和更有效的知識傳播，垃圾物聯網的普及速度將依然緩慢，從而阻礙智慧廢棄物管理舉措的整體進展。

新冠疫情的影響：

新冠疫情對智慧廢棄物管理和垃圾物聯網（IoW）市場產生了雙重影響：一方面推動了創新，另一方面也造成了暫時的挫折。醫療和住宅廢棄物的激增增加了對自動化、基於物聯網的廢棄物管理系統的需求，這些系統能夠減少人與人之間的接觸，並改善廢棄物。儘管疫情初期因封鎖、供不應求和資金限制導致計劃延期，但它也凸顯了智慧、數據驅動型廢棄物管理的價值。隨著城市更加關注安全、衛生和永續性，對垃圾物聯網技術的投資也隨之加速成長。在後疫情時代，這些系統日益被視為建構具有韌性、技術主導的城市廢棄物管理策略的重要組成部分。

預計在預測期內，雲端基礎的系統細分市場將佔據最大的市場佔有率。

由於其適應性強、效率高且價格實惠，預計在預測期內，雲端基礎的系統細分市場將佔據最大的市場佔有率。這些解決方案可即時存取廢棄物數據，並支援對連接的物聯網設備進行持續監控和主導分析的最佳化。透過集中資料儲存和營運，雲端平台能夠增強協調性、提升效能並支援遠端系統管理。其靈活的架構使其易於擴展，無需在硬體和維護方面進行大量投資。此外，雲端部署還有助於與智慧城市計畫和永續性項目整合。隨著各組織尋求智慧、低成本且易於管理的廢棄物解決方案，雲端基礎的架構正成為最受歡迎和應用最廣泛的部署方法。

人工智慧和機器學習引擎細分市場在預測期內將實現最高的複合年成長率。

預計在預測期內，人工智慧和機器學習引擎領域將實現最高的成長率。這些先進的系統能夠對廢棄物處理流程進行智慧分析、預測和自動化。人工智慧模型利用物聯網網路的數據，幫助預測廢棄物趨勢、最佳化收集計畫並提高分類效率。機器學習持續改善系統效能，減少錯誤和營運成本。永續城市管理和數位轉型的推動進一步加速了這些技術的應用。憑藉其提供即時分析、決策支援和自動化的能力，人工智慧和機器學習正在引領市場最強勁的成長。

佔比最大的地區：

由於北美擁有完善的數位基礎設施和對永續性的堅定承諾，預計在預測期內，北美將佔據最大的市場佔有率。該地區受益於市政和工業廢棄物系統中物聯網技術、高級分析和雲端基礎平台的早期應用。政府推動智慧城市發展的措施和嚴格的環境法規正在刺激進一步的創新和應用。大型科技公司的存在以及對自動化和資源回收的持續投資正在鞏固市場的基礎。隨著對高效廢棄物監測和循環經濟一體化的日益重視，北美在物聯網廢棄物管理（IoW）領域的應用和技術進步方面繼續引領全球。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於城市化進程加快、人口成長以及政府主導的智慧城市計劃。中國、印度、日本和韓國等國家正優先發展以物聯網為基礎的廢棄物管理，以提高效率和環境永續性。相關法規的支援、技術進步以及數位基礎設施的投資正在推動物聯網技術的普及應用。該地區致力於減少掩埋的依賴並提高回收率，這與全球永續性目標相符。在不斷擴大的城市基礎設施和日益成長的自動化需求的推動下，亞太地區已成為全球物聯網市場中最具活力和成長最快的地區。

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目錄

第1章執行摘要

第2章 引言

  • 概述
  • 相關利益者
  • 分析範圍
  • 分析方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 分析方法
  • 分析材料
    • 原始研究資料
    • 二手研究資訊來源
    • 先決條件

第3章 市場趨勢分析

  • 介紹
  • 促進要素
  • 抑制因素
  • 市場機遇
  • 威脅
  • 技術分析
  • 應用分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代產品的威脅
  • 新參與企業的威脅
  • 公司間的競爭

5. 全球智慧廢棄物管理和廢棄物物聯網 (IoW) 市場（按組件分類）

  • 介紹
  • 硬體
  • 軟體
  • 服務

6. 全球智慧廢棄物管理和廢棄物物聯網 (IoW) 市場（按廢棄物趨勢分類）

  • 介紹
  • 都市固態廢棄物
  • 工業廢棄物
  • 商業廢棄物
  • 生活垃圾
  • 電子廢棄物
  • 塑膠廢棄物
  • 有機廢棄物
  • 醫療廢棄物
  • 危險廢棄物

7. 全球智慧廢棄物管理與廢棄物物聯網（IoW）市場依部署方式分類

  • 介紹
  • 雲端基礎的系統
  • 本地基礎設施
  • 混合模式

8. 全球智慧廢棄物管理和廢棄物物聯網 (IoW) 市場（相關人員）

  • 介紹
  • 市政府/市政當局
  • 廢棄物管理公司
  • 工業廢棄物和商業廢棄物產生者
  • 技術供應商整合商
  • 監理和合規機構

9. 全球智慧廢棄物管理和廢棄物物聯網 (IoW) 市場（按技術分類）

  • 介紹
  • 物聯網感測器網路
  • RFID/GPS追蹤系統
  • 人工智慧/機器學習引擎
  • 區塊鏈溯源
  • 邊緣和雲端運算基礎設施

10. 全球智慧廢棄物管理和廢棄物物聯網 (IoW) 市場（按應用領域分類）

  • 介紹
  • 智慧收集，路線最佳化
  • 即時廢棄物追蹤與監測
  • 自動排序和分類
  • 預測性資產維護
  • 自動化回收和資源回收
  • 監理合規與報告
  • 實現循環經濟

第11章 全球智慧廢棄物管理和廢棄物物聯網（IoW）市場（按地區分類）

  • 介紹
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第12章：主要趨勢

  • 合約、商業夥伴關係和合資企業
  • 企業合併（M&A）
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第13章：公司簡介

  • Ecube Labs
  • ReCollect
  • ZenRobotics
  • PIN
  • Uffizio
  • Rubicon Technologies
  • IBM Corporation
  • BigBelly Inc.
  • Enevo, Inc.
  • Compology, Inc.
  • Sensoneo, sro
  • Cisco Systems, Inc.
  • Schneider Electric SE
  • BigBelly Solar
  • SmartBin
Product Code: SMRC32133

According to Stratistics MRC, the Global Smart Waste Management & Internet of Waste Market is accounted for $6.83 billion in 2025 and is expected to reach $18.27 billion by 2032 growing at a CAGR of 15.1% during the forecast period. The Smart Waste Management and Internet of Waste (IoW) framework leverage IoT connectivity, automation, and data intelligence to revolutionize waste handling and recycling processes. Equipped with smart sensors, waste bins transmit real-time data on capacity, helping optimize collection schedules and lower fuel and maintenance expenses. The system enables seamless coordination among waste generators, service providers, and recyclers through integrated digital networks. Advanced analytics and AI tools enhance decision-making, allowing cities to predict waste patterns and plan sustainably. By digitizing waste management operations, the Internet of Waste fosters operational transparency, environmental efficiency, and a circular economy model, reducing landfill dependence and improving resource utilization.

According to data from TERI's State of Waste Management Report (2023), India generates between 62-72 million tonnes of municipal solid waste annually, projected to rise to 125-165 million tonnes by 2030 due to urbanization and changing consumption patterns.

Market Dynamics:

Driver:

Rising urbanization and waste generation

With global urbanization accelerating, the amount of municipal waste produced is increasing significantly, challenging traditional disposal systems. Smart Waste Management and Internet of Waste (IoW) technologies provide an effective response through real-time monitoring, intelligent routing, and automated collection. IoT sensors installed in waste bins enable optimized scheduling and improved efficiency, reducing overflow and carbon emissions. Urban authorities are focusing on sustainable digital infrastructure to enhance waste control and environmental health. The need to manage growing urban waste streams efficiently, coupled with policy-driven smart city initiatives, is propelling market demand for advanced, connected waste management solutions across both developed and developing economies.

Restraint:

High implementation and maintenance costs

The Smart Waste Management and Internet of Waste (IoW) market faces significant limitations due to the high upfront and recurring expenses involved in system deployment. Establishing IoT networks, purchasing smart bins, and integrating analytics platforms demand substantial financial resources. Additionally, costs linked to maintenance, data storage, and software updates increase the overall financial burden. Smaller municipalities and private operators often lack the capital and expertise to sustain such advanced setups. This economic barrier restricts large-scale adoption, particularly in developing countries where funding constraints persist. Consequently, the financial intensity of infrastructure implementation remains a key obstacle to the broad expansion of smart waste management systems.

Opportunity:

Circular economy and resource recovery initiatives

The global transition toward circular economy principles and efficient resource recovery presents valuable opportunities for the Smart Waste Management and Internet of Waste (IoW) sector. Advanced IoT-based platforms enable precise monitoring, sorting, and recycling of waste materials, facilitating higher recovery rates and reduced landfill dependency. Governments and private enterprises are increasingly investing in waste-to-energy and recycling infrastructure to promote sustainable growth. Smart waste solutions provide actionable data for optimizing resource flows and tracking environmental impact. As organizations prioritize eco-friendly practices and regulatory compliance, IoW technologies become vital in achieving circular economy objectives, fostering innovation and long-term expansion within the smart waste management market.

Threat:

Limited awareness and skill gaps

The growth of the Smart Waste Management and Internet of Waste (IoW) market is threatened by inadequate awareness and a shortage of skilled professionals. Many local authorities and waste management operators lack understanding of IoT-based systems and their long-term benefits. Insufficient technical knowledge related to data analytics, software integration, and cybersecurity prevents smooth deployment. This talent shortage forces reliance on third-party providers, increasing operational costs and implementation time. Furthermore, the absence of structured training and awareness programs restricts technological familiarity across regions. Without a well-trained workforce and stronger knowledge dissemination, IoW adoption remains slow, impeding the overall advancement of smart waste management initiatives.

Covid-19 Impact:

The COVID-19 outbreak had a dual impact on the Smart Waste Management and Internet of Waste (IoW) market, driving innovation while causing temporary slowdowns. The surge in medical and residential waste heightened the need for automated, IoT-based waste systems that reduced physical contact and improved sanitation. Despite initial project delays due to lockdowns, supply shortages, and financial constraints, the pandemic underscored the value of smart, data-driven waste management. As cities focused on safety, hygiene and sustainability investment in IoW technologies gained momentum. In the post-pandemic era, these systems are increasingly recognized as essential components of resilient and technology-driven urban waste management strategies.

The cloud-based systems segment is expected to be the largest during the forecast period

The cloud-based systems segment is expected to account for the largest market share during the forecast period owing to their adaptability, efficiency, and affordability. These solutions provide real-time access to waste data, enabling continuous monitoring and analytics-driven optimization across connected IoT devices. By centralizing data storage and operations, cloud platforms enhance coordination, improve performance, and support remote management. Their flexible structure allows easy scaling without heavy investment in hardware or maintenance. Additionally, cloud deployment fosters integration with smart city frameworks and sustainability programs. As organizations seek intelligent, low-cost, and easily manageable waste solutions, cloud-based architectures have emerged as the most preferred and widely adopted deployment approach.

The AI & machine learning engines segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the AI & machine learning engines segment is predicted to witness the highest growth rate. These advanced systems enable intelligent analysis, forecasting, and automation in waste handling processes. By leveraging data from IoT networks, AI models help predict waste trends, streamline collection schedules, and improve sorting efficiency. Machine learning continuously refines system performance, reducing errors and operational costs. The push for sustainable urban management and digital transformation further accelerates adoption. With their ability to provide real-time analytics, decision support, and automation, AI and machine learning are driving the market's most dynamic growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its well-established digital infrastructure and strong commitment to sustainability. The region benefits from early adoption of IoT technologies, advanced analytics, and cloud-based platforms in municipal and industrial waste systems. Government initiatives encouraging smart city development and strict environmental regulations further stimulate innovation and implementation. The presence of major technology firms and consistent investments in automation and resource recovery strengthen the market's foundation. With growing emphasis on efficient waste monitoring and circular economy integration, North America continues to lead the global IoW landscape in terms of adoption and technological advancement.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by increasing urban development, population expansion, and government-backed smart city initiatives. Nations like China, India, Japan, and South Korea are prioritizing IoT-based waste management to enhance efficiency and environmental sustainability. Supportive regulations, technological advancements, and investments in digital infrastructure are driving widespread adoption. The region's focus on reducing landfill dependency and improving recycling rates aligns with global sustainability goals. With expanding urban infrastructure and rising demand for automation, Asia-Pacific stands out as the most dynamic and rapidly advancing region in the global IoW market landscape.

Key players in the market

Some of the key players in Smart Waste Management & Internet of Waste Market include Ecube Labs, ReCollect, ZenRobotics, PIN, Uffizio, Rubicon Technologies, IBM Corporation, BigBelly Inc., Enevo, Inc., Compology, Inc., Sensoneo, s.r.o., Cisco Systems, Inc., Schneider Electric SE, BigBelly Solar and SmartBin.

Key Developments:

In September 2025, Schneider Electric signed a long-term framework agreement with E.ON, one of Europe's largest energy companies. This strategic partnership marks a significant step forward in the deployment of sustainable and digital-ready energy infrastructure across Europe. Schneider Electric will support E.ON's ambitious goals with its latest SF6-free medium-voltage (MV) switchgear and a suite of digital technologies.

In September 2025, IBM and SCREEN Semiconductor Solutions Co., Ltd. announced an agreement to develop cleaning processes for next-generation EUV lithography. This agreement builds on previous joint development collaboration for innovative cleaning processes that enabled the current generation of nanosheet device technology.

In February 2024, ZenRobotics, a Terex brand, has introduced ZenRobotics 4.0, its fourth generation of waste sorting robots with new features and upgraded artificial intelligence (AI) to optimize and improve the efficiency of material sorting operations.

Components Covered:

  • Hardware
  • Software
  • Services

Waste Streams Covered:

  • Municipal Solid Waste
  • Industrial Waste
  • Commercial Waste
  • Residential Waste
  • E-Waste
  • Plastic Waste
  • Organic Waste
  • Medical Waste
  • Hazardous Waste

Deployment Models Covered:

  • Cloud-Based Systems
  • On-Premises Infrastructure
  • Hybrid Models

Stakeholders Covered:

  • Urban Authorities & Municipalities
  • Waste Management Operators
  • Industrial & Commercial Waste Generators
  • Technology Vendors & Integrators
  • Regulatory & Compliance Bodies

Technologies Covered:

  • IoT Sensor Networks
  • RFID & GPS Tracking Systems
  • AI & Machine Learning Engines
  • Blockchain for Traceability
  • Edge & Cloud Computing Infrastructure

Applications Covered:

  • Smart Collection & Route Optimization
  • Real-Time Waste Tracking & Monitoring
  • Automated Sorting & Classification
  • Predictive Maintenance of Assets
  • Recycling & Resource Recovery Automation
  • Regulatory Compliance & Reporting
  • Circular Economy Enablement

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Smart Waste Management & Internet of Waste Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
  • 5.3 Software
  • 5.4 Services

6 Global Smart Waste Management & Internet of Waste Market, By Waste Stream

  • 6.1 Introduction
  • 6.2 Municipal Solid Waste
  • 6.3 Industrial Waste
  • 6.4 Commercial Waste
  • 6.5 Residential Waste
  • 6.6 E-Waste
  • 6.7 Plastic Waste
  • 6.8 Organic Waste
  • 6.9 Medical Waste
  • 6.10 Hazardous Waste

7 Global Smart Waste Management & Internet of Waste Market, By Deployment Model

  • 7.1 Introduction
  • 7.2 Cloud-Based Systems
  • 7.3 On-Premises Infrastructure
  • 7.4 Hybrid Models

8 Global Smart Waste Management & Internet of Waste Market, By Stakeholder

  • 8.1 Introduction
  • 8.2 Urban Authorities & Municipalities
  • 8.3 Waste Management Operators
  • 8.4 Industrial & Commercial Waste Generators
  • 8.5 Technology Vendors & Integrators
  • 8.6 Regulatory & Compliance Bodies

9 Global Smart Waste Management & Internet of Waste Market, By Technology

  • 9.1 Introduction
  • 9.2 IoT Sensor Networks
  • 9.3 RFID & GPS Tracking Systems
  • 9.4 AI & Machine Learning Engines
  • 9.5 Blockchain for Traceability
  • 9.6 Edge & Cloud Computing Infrastructure

10 Global Smart Waste Management & Internet of Waste Market, By Application

  • 10.1 Introduction
  • 10.2 Smart Collection & Route Optimization
  • 10.3 Real-Time Waste Tracking & Monitoring
  • 10.4 Automated Sorting & Classification
  • 10.5 Predictive Maintenance of Assets
  • 10.6 Recycling & Resource Recovery Automation
  • 10.7 Regulatory Compliance & Reporting
  • 10.8 Circular Economy Enablement

11 Global Smart Waste Management & Internet of Waste Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Ecube Labs
  • 13.2 ReCollect
  • 13.3 ZenRobotics
  • 13.4 PIN
  • 13.5 Uffizio
  • 13.6 Rubicon Technologies
  • 13.7 IBM Corporation
  • 13.8 BigBelly Inc.
  • 13.9 Enevo, Inc.
  • 13.10 Compology, Inc.
  • 13.11 Sensoneo, s.r.o.
  • 13.12 Cisco Systems, Inc.
  • 13.13 Schneider Electric SE
  • 13.14 BigBelly Solar
  • 13.15 SmartBin

List of Tables

  • Table 1 Global Smart Waste Management & Internet of Waste Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Smart Waste Management & Internet of Waste Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Smart Waste Management & Internet of Waste Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Smart Waste Management & Internet of Waste Market Outlook, By Software (2024-2032) ($MN)
  • Table 5 Global Smart Waste Management & Internet of Waste Market Outlook, By Services (2024-2032) ($MN)
  • Table 6 Global Smart Waste Management & Internet of Waste Market Outlook, By Waste Stream (2024-2032) ($MN)
  • Table 7 Global Smart Waste Management & Internet of Waste Market Outlook, By Municipal Solid Waste (2024-2032) ($MN)
  • Table 8 Global Smart Waste Management & Internet of Waste Market Outlook, By Industrial Waste (2024-2032) ($MN)
  • Table 9 Global Smart Waste Management & Internet of Waste Market Outlook, By Commercial Waste (2024-2032) ($MN)
  • Table 10 Global Smart Waste Management & Internet of Waste Market Outlook, By Residential Waste (2024-2032) ($MN)
  • Table 11 Global Smart Waste Management & Internet of Waste Market Outlook, By E-Waste (2024-2032) ($MN)
  • Table 12 Global Smart Waste Management & Internet of Waste Market Outlook, By Plastic Waste (2024-2032) ($MN)
  • Table 13 Global Smart Waste Management & Internet of Waste Market Outlook, By Organic Waste (2024-2032) ($MN)
  • Table 14 Global Smart Waste Management & Internet of Waste Market Outlook, By Medical Waste (2024-2032) ($MN)
  • Table 15 Global Smart Waste Management & Internet of Waste Market Outlook, By Hazardous Waste (2024-2032) ($MN)
  • Table 16 Global Smart Waste Management & Internet of Waste Market Outlook, By Deployment Model (2024-2032) ($MN)
  • Table 17 Global Smart Waste Management & Internet of Waste Market Outlook, By Cloud-Based Systems (2024-2032) ($MN)
  • Table 18 Global Smart Waste Management & Internet of Waste Market Outlook, By On-Premises Infrastructure (2024-2032) ($MN)
  • Table 19 Global Smart Waste Management & Internet of Waste Market Outlook, By Hybrid Models (2024-2032) ($MN)
  • Table 20 Global Smart Waste Management & Internet of Waste Market Outlook, By Stakeholder (2024-2032) ($MN)
  • Table 21 Global Smart Waste Management & Internet of Waste Market Outlook, By Urban Authorities & Municipalities (2024-2032) ($MN)
  • Table 22 Global Smart Waste Management & Internet of Waste Market Outlook, By Waste Management Operators (2024-2032) ($MN)
  • Table 23 Global Smart Waste Management & Internet of Waste Market Outlook, By Industrial & Commercial Waste Generators (2024-2032) ($MN)
  • Table 24 Global Smart Waste Management & Internet of Waste Market Outlook, By Technology Vendors & Integrators (2024-2032) ($MN)
  • Table 25 Global Smart Waste Management & Internet of Waste Market Outlook, By Regulatory & Compliance Bodies (2024-2032) ($MN)
  • Table 26 Global Smart Waste Management & Internet of Waste Market Outlook, By Technology (2024-2032) ($MN)
  • Table 27 Global Smart Waste Management & Internet of Waste Market Outlook, By IoT Sensor Networks (2024-2032) ($MN)
  • Table 28 Global Smart Waste Management & Internet of Waste Market Outlook, By RFID & GPS Tracking Systems (2024-2032) ($MN)
  • Table 29 Global Smart Waste Management & Internet of Waste Market Outlook, By AI & Machine Learning Engines (2024-2032) ($MN)
  • Table 30 Global Smart Waste Management & Internet of Waste Market Outlook, By Blockchain for Traceability (2024-2032) ($MN)
  • Table 31 Global Smart Waste Management & Internet of Waste Market Outlook, By Edge & Cloud Computing Infrastructure (2024-2032) ($MN)
  • Table 32 Global Smart Waste Management & Internet of Waste Market Outlook, By Application (2024-2032) ($MN)
  • Table 33 Global Smart Waste Management & Internet of Waste Market Outlook, By Smart Collection & Route Optimization (2024-2032) ($MN)
  • Table 34 Global Smart Waste Management & Internet of Waste Market Outlook, By Real-Time Waste Tracking & Monitoring (2024-2032) ($MN)
  • Table 35 Global Smart Waste Management & Internet of Waste Market Outlook, By Automated Sorting & Classification (2024-2032) ($MN)
  • Table 36 Global Smart Waste Management & Internet of Waste Market Outlook, By Predictive Maintenance of Assets (2024-2032) ($MN)
  • Table 37 Global Smart Waste Management & Internet of Waste Market Outlook, By Recycling & Resource Recovery Automation (2024-2032) ($MN)
  • Table 38 Global Smart Waste Management & Internet of Waste Market Outlook, By Regulatory Compliance & Reporting (2024-2032) ($MN)
  • Table 39 Global Smart Waste Management & Internet of Waste Market Outlook, By Circular Economy Enablement (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.