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1833495

2032 年廢棄物網際網路和人工智慧廢棄物追蹤市場預測：按組件、廢棄物類型、部署、技術、最終用戶和地區進行的全球分析

Internet of Waste & AI-powered Waste Tracking Market Forecasts to 2032 - Global Analysis By Component (Software, Hardware and Services), Waste Type, Deployment, Technology, End User 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 Stratistics MRC 的數據，全球廢棄物網際網路和人工智慧廢棄物追蹤市場預計在 2025 年達到 44.1 億美元，到 2032 年將達到 185 億美元，預測期內的複合年成長率為 22.7%。

廢棄物聯網是指將數位技術和智慧感測器整合到廢棄物管理系統中，以實現廢棄物和回收流程的即時監控、數據收集和最佳化。它將傳統的廢棄物管理模式轉變為互聯互通的智慧網路。人工智慧廢棄物追蹤技術利用人工智慧分析廢棄物產生模式、預測處理需求並實現垃圾分類和路線規劃的自動化。機器學習和電腦視覺技術能夠提高效率、減少環境影響並支持循環經濟目標。這些創新技術將廢棄物轉化為可操作的數據，並推動永續的資源管理，從而創造更智慧、更乾淨的城市。

全球廢棄物產生量不斷增加

全球廢棄物產量的不斷成長，正推動廢棄物聯網和人工智慧廢棄物追蹤市場的創新。都市化和消費的快速成長，推動著對更智慧、可擴展的廢棄物管理解決方案的需求。這推動了物聯網感測器、人工智慧分析和即時追蹤技術的應用，以最佳化垃圾收集、減少掩埋溢流並提高回收效率。各國政府和各行各業正在投資智慧基礎設施，以實現永續性目標，這催生了對數據驅動的廢棄物技術的強勁需求，並加速了全球市場的成長。

初期投資高

高昂的初始投資是廢棄物聯網和人工智慧廢棄物追蹤市場廣泛應用的一大障礙。開發和部署先進的物聯網感測器、人工智慧主導的分析平台以及配套基礎設施需要大量的前期投資，這限制了預算有限的中小企業和市政當局的行動。這種財務負擔會減緩市場滲透，限制擴充性，延遲投資收益，並最終限制創新、相關人員的信任以及廢棄物管理轉型的長期永續性。

技術進步

技術進步正在透過實現即時監控、預測分析和智慧分類系統，徹底改變市場。這些創新提高了營運效率，減少了環境影響，並支持循環經濟模式。主導的洞察最佳化了廢棄物收集路線和回收流程，而物聯網感測器則確保了整個廢棄物生命週期的透明度和可追溯性。我們的合作將賦能政府和產業，使其能夠做出數據驅動的決策，促進永續性，並促進全球廢棄物管理生態系統的發展。

資料隱私和安全問題

對資料隱私和安全的擔憂可能會嚴重阻礙廢棄物聯網和人工智慧廢棄物追蹤市場的成長。如果用戶的位置、行為和廢棄物資料在未經明確同意的情況下被收集，他們可能會抵制採用該技術。監管風險（尤其是在《一般資料保護規範》（GDPR）等法律下）不斷增加，合規成本也在上升。安全漏洞以及個人或社區層面資料的濫用可能會削弱信任，引發強烈反對，減少資料共用，並扼殺創新，從而阻礙市場成長。

COVID-19的影響：

新冠疫情加速了廢棄物管理領域的數位轉型，推動了對廢棄物聯網和人工智慧追蹤系統的需求。封鎖和健康擔憂推動了自動化和遠端監控的發展，而醫療和生活廢棄物的增加則凸顯了傳統系統效率低下的問題。政府和各行各業紛紛採用智慧廢棄物解決方案，以增強永續性、合規性和營運韌性。這種轉變刺激了創新、投資，並推動了廢棄物主導的廢棄物分析和基於物聯網的追蹤技術的廣泛應用。

預計工業廢棄物部分將成為預測期內最大的部分

由於製造業、建設業和化學工業產生的廢棄物量龐大，預計工業廢棄物領域將在預測期內佔據最大的市場佔有率。這些產業需要先進的追蹤和處置解決方案，以滿足法規遵循和永續性目標。在工業環境中採用智慧感測器和人工智慧分析技術，可實現高效的廢棄物分類、即時監控和最佳化回收，從而推動龐大的市場需求。

預計軟體部門在預測期內將實現最高的複合年成長率。

預計軟體領域將在預測期內實現最高成長率，這得益於對分析廢棄物數據、自動化垃圾分類和最佳化物流的智慧平台日益成長的需求。人工智慧軟體解決方案提供預測分析、即時警報以及與物聯網設備的整合，以提高營運效率。隨著各行各業和市政當局尋求可擴展、數據驅動的廢棄物管理系統，軟體將成為創新的支柱，實現更明智的決策，並支持向循環經濟模式的轉型。

佔比最大的地區：

預計亞太地區將在預測期內佔據最大的市場佔有率，因為中國、印度和日本等國家快速的都市化、工業擴張以及日益增強的環保意識正在推動這項技術的應用。政府推動智慧城市和永續廢棄物管理的舉措，以及對數位基礎設施的持續投資，正在促進該地區的成長。亞太地區人口眾多，廢棄物產生量不斷增加，因此需要先進的追蹤和處理技術，這使其成為關鍵的市場領導。

複合年成長率最高的地區：

預計北美將在預測期內實現最高的複合年成長率，這得益於該地區強大的技術生態系統、人工智慧和物聯網的早期應用以及嚴格的環境法規作為關鍵成長動力。市政當局和私人企業正在增加對智慧廢棄物解決方案的投資，以提高效率並減少對掩埋的依賴。此外，公眾意識的不斷增強和企業對永續性的承諾正在加速美國和加拿大部署人工智慧廢棄物追蹤系統。

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目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 抑制因素
  • 機會
  • 威脅
  • 技術分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 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
  • 競爭對手之間的競爭

5. 全球廢棄物網際網路和人工智慧廢棄物追蹤市場（按組件）

  • 硬體
    • 感應器
    • 追蹤裝置
    • 物聯網閘道器
  • 軟體
    • 廢棄物追蹤平台
    • 分析軟體
    • 雲端和邊緣解決方案
  • 服務
    • 實施與整合
    • 維護和支援
    • 諮詢服務

6. 全球廢棄物網際網路和人工智慧廢棄物追蹤市場（按廢棄物類型）

  • 都市固態廢棄物
  • 工業廢棄物
  • 危險廢棄物
  • 電子廢棄物
  • 醫療廢棄物

7. 全球廢棄物網際網路和人工智慧廢棄物追蹤市場（按部署）

  • 本地部署
  • 雲端基礎

8. 全球廢棄物網際網路和人工智慧廢棄物追蹤市場（按技術）

  • 物聯網 (IoT) 解決方案
    • 智慧感測器
    • RFID標籤
    • GPS追蹤設備
  • 人工智慧（AI）解決方案
    • 機器學習演算法
    • 電腦視覺和影像識別
    • 預測分析
  • 廢棄物管理中的機器人和自動化
    • 自動分類機器人
    • 自動收集車輛

9. 全球廢棄物網際網路和人工智慧廢棄物追蹤市場（按最終用戶分類）

  • 地方政府
  • 工業和製造單位
  • 醫療保健和製藥
  • 電子廢棄物管理公司
  • 商業和零售設施

第10章全球廢棄物網際網路與人工智慧廢棄物追蹤市場（按地區）

  • 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
    • 其他歐洲國家
  • 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
    • 其他南美
  • 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11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • Big Belly Solar
  • Compology
  • Ecube Labs
  • SmartBin
  • Enevo（REEN AS）
  • Bine sp. z oo
  • Evreka
  • Pepperl+Fuchs
  • Sensoneo
  • RTS Holding
  • Rubicon Technologies
  • GreenQ
  • Suez SA
  • IBM
  • Veolia Environnement
Product Code: SMRC31328

According to Stratistics MRC, the Global Internet of Waste & AI-powered Waste Tracking Market is accounted for $4.41 billion in 2025 and is expected to reach $18.5 billion by 2032 growing at a CAGR of 22.7% during the forecast period. The Internet of Waste refers to the integration of digital technologies and smart sensors into waste management systems, enabling real-time monitoring, data collection, and optimization of waste disposal and recycling processes. It transforms traditional waste handling into a connected, intelligent network. AI-powered Waste Tracking uses artificial intelligence to analyze waste generation patterns, predict disposal needs, and automate sorting and routing. By leveraging machine learning and computer vision, it enhances efficiency, reduces environmental impact, and supports circular economy goals. Together, these innovations promote smarter, cleaner cities by turning waste into actionable data and driving sustainable resource management.

Market Dynamics:

Driver:

Rising Global Waste Generation

Rising global waste generation is fueling innovation in the Internet of Waste and AI-powered waste tracking markets. As urbanization and consumption surge, the need for smarter, scalable waste management solutions intensifies. This drives adoption of IoT sensors, AI analytics, and real-time tracking to optimize collection, reduce landfill overflow, and enhance recycling efficiency. Governments and industries are investing in intelligent infrastructure to meet sustainability goals, creating a robust demand for data-driven waste technologies and accelerating market growth worldwide.

Restraint:

High Initial Investment

High initial investment poses a significant barrier to the Internet of Waste and AI-powered waste tracking market, hindering widespread adoption. The development and deployment of advanced IoT sensors, AI-driven analytics platforms, and supporting infrastructure require substantial upfront capital, deterring smaller enterprises and municipalities with limited budgets. This financial burden slows market penetration, restricts scalability, and delays return on investment, ultimately constraining innovation, stakeholder confidence, and long-term sustainability in waste management transformation.

Opportunity:

Technological Advancements

Technological advancements are revolutionizing the market by enabling real-time monitoring, predictive analytics, and smart sorting systems. These innovations enhance operational efficiency, reduce environmental impact, and support circular economy models. AI-driven insights optimize waste collection routes and recycling processes, while IoT sensors ensure transparency and traceability across the waste lifecycle. Together, they empower governments and industries to make data-informed decisions, fostering sustainability and driving growth in the global waste management ecosystem.

Threat:

Data Privacy & Security Concerns

Data privacy & security concerns can seriously hamper the growth of the Internet of Waste & AI-powered waste tracking market. Users may resist adoption if their location, behavioral or waste disposal data is collected without clear consent. Regulatory risks increase, especially under GDPR-like laws, raising compliance costs. Security breaches or misuse of personal or community-level data erode trust, provoke backlash, reduce data sharing, and stall innovation. Thus, it hinders growth of the market.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital transformation across waste management, boosting demand for Internet of Waste and AI-powered tracking systems. Lockdowns and health concerns drove automation and remote monitoring, while rising medical and household waste highlighted inefficiencies in traditional systems. Governments and industries adopted smart waste solutions to enhance sustainability, compliance, and operational resilience. This shift catalyzed innovation, investment, and broader acceptance of AI-driven waste analytics and IoT-based tracking technologies.

The industrial waste segment is expected to be the largest during the forecast period

The industrial waste segment is expected to account for the largest market share during the forecast period due to the massive volume of waste generated by manufacturing, construction, and chemical industries. These sectors require advanced tracking and disposal solutions to meet regulatory compliance and sustainability goals. The adoption of smart sensors and AI analytics in industrial settings enables efficient waste segregation, real-time monitoring, and optimized recycling, driving significant market demand.

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

Over the forecast period, the software segment is predicted to witness the highest growth rate due to increasing demand for intelligent platforms that can analyze waste data, automate sorting, and optimize logistics. AI-powered software solutions offer predictive analytics, real-time alerts, and integration with IoT devices, enhancing operational efficiency. As industries and municipalities seek scalable, data-driven waste management systems, software becomes the backbone of innovation, enabling smarter decision-making and supporting the transition to circular economy models.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to rapid urbanization, industrial expansion, and rising environmental awareness across countries like China, India, and Japan are driving adoption. Government initiatives promoting smart cities and sustainable waste management, coupled with increasing investments in digital infrastructure, contribute to regional growth. The region's vast population and escalating waste generation further necessitate advanced tracking and disposal technologies, making Asia Pacific a key market leader.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR owing to region's strong technological ecosystem, early adoption of AI and IoT, and stringent environmental regulations are key growth drivers. Municipalities and private enterprises are increasingly investing in smart waste solutions to improve efficiency and reduce landfill dependency. Additionally, growing public awareness and corporate sustainability commitments are accelerating the deployment of AI-powered waste tracking systems across the United States and Canada.

Key players in the market

Some of the key players in Internet of Waste & AI-powered Waste Tracking Market include Big Belly Solar, Compology, Ecube Labs, SmartBin, Enevo (REEN AS), Bine sp. z o. o., Evreka, Pepperl+Fuchs, Sensoneo, RTS Holding, Rubicon Technologies, GreenQ, Suez SA, IBM and Veolia Environnement.

Key Developments:

In July 2025, Veolia and AFD have inked a three-year strategic partnership to bring Veolia's technical strength together with AFD's local presence, targeting water, waste, energy sectors in developing regions (Latin America, Africa, Balkans, Middle East) to drive ecological transformation.

In January 2025, Telefonica Tech and IBM have forged a collaboration to integrate IBM's quantum-safe cryptographic technology into Telefonica's cybersecurity services, aiming to protect data from future threats posed by quantum computing and to drive the transition to post-quantum security.

Components Covered:

  • Hardware
  • Software
  • Services

Waste Types Covered:

  • Municipal Solid Waste
  • Industrial Waste
  • Hazardous Waste
  • E-Waste
  • Biomedical Waste

Deployments Covered:

  • On-Premises
  • Cloud-based

Technologies Covered:

  • Internet of Things (IoT) Solutions
  • Artificial Intelligence (AI) Solutions
  • Robotics & Automation in Waste Management

End Users Covered:

  • Municipal Corporations & Local Governments
  • Industrial & Manufacturing Units
  • Healthcare & Pharmaceuticals
  • E-Waste Management Companies
  • Commercial & Retail Establishments

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 alliance

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 End User 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 Internet of Waste & AI-powered Waste Tracking Market, By Component

  • 5.1 Introduction
  • 5.2 Hardware
    • 5.2.1 Sensors
    • 5.2.2 Tracking Devices
    • 5.2.3 IoT Gateways
  • 5.3 Software
    • 5.3.1 Waste Tracking Platforms
    • 5.3.2 Analytics Software
    • 5.3.3 Cloud & Edge Solutions
  • 5.4 Services
    • 5.4.1 Implementation & Integration
    • 5.4.2 Maintenance & Support
    • 5.4.3 Consulting Services

6 Global Internet of Waste & AI-powered Waste Tracking Market, By Waste Type

  • 6.1 Introduction
  • 6.2 Municipal Solid Waste
  • 6.3 Industrial Waste
  • 6.4 Hazardous Waste
  • 6.5 E-Waste
  • 6.6 Biomedical Waste

7 Global Internet of Waste & AI-powered Waste Tracking Market, By Deployment

  • 7.1 Introduction
  • 7.2 On-Premises
  • 7.3 Cloud-based

8 Global Internet of Waste & AI-powered Waste Tracking Market, By Technology

  • 8.1 Introduction
  • 8.2 Internet of Things (IoT) Solutions
    • 8.2.1 Smart Sensors
    • 8.2.2 RFID Tags
    • 8.2.3 GPS Tracking Devices
  • 8.3 Artificial Intelligence (AI) Solutions
    • 8.3.1 Machine Learning Algorithms
    • 8.3.2 Computer Vision & Image Recognition
    • 8.3.3 Predictive Analytics
  • 8.4 Robotics & Automation in Waste Management
    • 8.4.1 Automated Sorting Robots
    • 8.4.2 Autonomous Collection Vehicles

9 Global Internet of Waste & AI-powered Waste Tracking Market, By End User

  • 9.1 Introduction
  • 9.2 Municipal Corporations & Local Governments
  • 9.3 Industrial & Manufacturing Units
  • 9.4 Healthcare & Pharmaceuticals
  • 9.5 E-Waste Management Companies
  • 9.6 Commercial & Retail Establishments

10 Global Internet of Waste & AI-powered Waste Tracking Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 Big Belly Solar
  • 12.2 Compology
  • 12.3 Ecube Labs
  • 12.4 SmartBin
  • 12.5 Enevo (REEN AS)
  • 12.6 Bine sp. z o. o.
  • 12.7 Evreka
  • 12.8 Pepperl+Fuchs
  • 12.9 Sensoneo
  • 12.10 RTS Holding
  • 12.11 Rubicon Technologies
  • 12.12 GreenQ
  • 12.13 Suez SA
  • 12.14 IBM
  • 12.15 Veolia Environnement

List of Tables

  • Table 1 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Component (2024-2032) ($MN)
  • Table 3 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Hardware (2024-2032) ($MN)
  • Table 4 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Sensors (2024-2032) ($MN)
  • Table 5 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Tracking Devices (2024-2032) ($MN)
  • Table 6 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By IoT Gateways (2024-2032) ($MN)
  • Table 7 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Software (2024-2032) ($MN)
  • Table 8 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Waste Tracking Platforms (2024-2032) ($MN)
  • Table 9 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Analytics Software (2024-2032) ($MN)
  • Table 10 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Cloud & Edge Solutions (2024-2032) ($MN)
  • Table 11 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Services (2024-2032) ($MN)
  • Table 12 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Implementation & Integration (2024-2032) ($MN)
  • Table 13 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Maintenance & Support (2024-2032) ($MN)
  • Table 14 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 15 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Waste Type (2024-2032) ($MN)
  • Table 16 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Municipal Solid Waste (2024-2032) ($MN)
  • Table 17 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Industrial Waste (2024-2032) ($MN)
  • Table 18 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Hazardous Waste (2024-2032) ($MN)
  • Table 19 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By E-Waste (2024-2032) ($MN)
  • Table 20 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Biomedical Waste (2024-2032) ($MN)
  • Table 21 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Deployment (2024-2032) ($MN)
  • Table 22 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By On-Premises (2024-2032) ($MN)
  • Table 23 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Cloud-based (2024-2032) ($MN)
  • Table 24 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Technology (2024-2032) ($MN)
  • Table 25 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Internet of Things (IoT) Solutions (2024-2032) ($MN)
  • Table 26 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Smart Sensors (2024-2032) ($MN)
  • Table 27 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By RFID Tags (2024-2032) ($MN)
  • Table 28 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By GPS Tracking Devices (2024-2032) ($MN)
  • Table 29 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Artificial Intelligence (AI) Solutions (2024-2032) ($MN)
  • Table 30 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Machine Learning Algorithms (2024-2032) ($MN)
  • Table 31 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Computer Vision & Image Recognition (2024-2032) ($MN)
  • Table 32 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 33 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Robotics & Automation in Waste Management (2024-2032) ($MN)
  • Table 34 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Automated Sorting Robots (2024-2032) ($MN)
  • Table 35 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Autonomous Collection Vehicles (2024-2032) ($MN)
  • Table 36 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By End User (2024-2032) ($MN)
  • Table 37 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Municipal Corporations & Local Governments (2024-2032) ($MN)
  • Table 38 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Industrial & Manufacturing Units (2024-2032) ($MN)
  • Table 39 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Healthcare & Pharmaceuticals (2024-2032) ($MN)
  • Table 40 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By E-Waste Management Companies (2024-2032) ($MN)
  • Table 41 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Commercial & Retail Establishments (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.