세계의 스마트 폐기물 관리 및 IoW(Internet of Waste) 시장(-2032년) : 컴포넌트별, 폐기물 동향별, 전개 방식별, 이해관계자별, 기술별, 용도별, 지역별 분석

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