
Internet Of Waste And Ai Powered Waste Tracking Market
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

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, Telefónica Tech and IBM have forged a collaboration to integrate IBM’s quantum-safe cryptographic technology into Telefónica’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
o US
o Canada
o Mexico
• Europe
o Germany
o UK
o Italy
o France
o Spain
o Rest of Europe
• Asia Pacific
o Japan
o China
o India
o Australia
o New Zealand
o South Korea
o Rest of Asia Pacific
• South America
o Argentina
o Brazil
o Chile
o Rest of South America
• Middle East & Africa
o Saudi Arabia
o UAE
o Qatar
o South Africa
o 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
o Comprehensive profiling of additional market players (up to 3)
o SWOT Analysis of key players (up to 3)
• Regional Segmentation
o Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
o 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
1 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Region (2024-2032) ($MN)
2 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Component (2024-2032) ($MN)
3 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Hardware (2024-2032) ($MN)
4 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Sensors (2024-2032) ($MN)
5 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Tracking Devices (2024-2032) ($MN)
6 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By IoT Gateways (2024-2032) ($MN)
7 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Software (2024-2032) ($MN)
8 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Waste Tracking Platforms (2024-2032) ($MN)
9 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Analytics Software (2024-2032) ($MN)
10 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Cloud & Edge Solutions (2024-2032) ($MN)
11 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Services (2024-2032) ($MN)
12 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Implementation & Integration (2024-2032) ($MN)
13 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Maintenance & Support (2024-2032) ($MN)
14 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Consulting Services (2024-2032) ($MN)
15 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Waste Type (2024-2032) ($MN)
16 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Municipal Solid Waste (2024-2032) ($MN)
17 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Industrial Waste (2024-2032) ($MN)
18 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Hazardous Waste (2024-2032) ($MN)
19 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By E-Waste (2024-2032) ($MN)
20 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Biomedical Waste (2024-2032) ($MN)
21 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Deployment (2024-2032) ($MN)
22 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By On-Premises (2024-2032) ($MN)
23 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Cloud-based (2024-2032) ($MN)
24 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Technology (2024-2032) ($MN)
25 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Internet of Things (IoT) Solutions (2024-2032) ($MN)
26 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Smart Sensors (2024-2032) ($MN)
27 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By RFID Tags (2024-2032) ($MN)
28 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By GPS Tracking Devices (2024-2032) ($MN)
29 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Artificial Intelligence (AI) Solutions (2024-2032) ($MN)
30 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Machine Learning Algorithms (2024-2032) ($MN)
31 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Computer Vision & Image Recognition (2024-2032) ($MN)
32 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Predictive Analytics (2024-2032) ($MN)
33 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Robotics & Automation in Waste Management (2024-2032) ($MN)
34 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Automated Sorting Robots (2024-2032) ($MN)
35 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Autonomous Collection Vehicles (2024-2032) ($MN)
36 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By End User (2024-2032) ($MN)
37 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Municipal Corporations & Local Governments (2024-2032) ($MN)
38 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Industrial & Manufacturing Units (2024-2032) ($MN)
39 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Healthcare & Pharmaceuticals (2024-2032) ($MN)
40 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By E-Waste Management Companies (2024-2032) ($MN)
41 Global Internet of Waste & AI-powered Waste Tracking Market Outlook, By Commercial & Retail Establishments (2024-2032) ($MN)
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.
List of Figures
RESEARCH METHODOLOGY

We at ‘Stratistics’ opt for an extensive research approach which involves data mining, data validation, and data analysis. The various research sources include in-house repository, secondary research, competitor’s sources, social media research, client internal data, and primary research.
Our team of analysts prefers the most reliable and authenticated data sources in order to perform the comprehensive literature search. With access to most of the authenticated data bases our team highly considers the best mix of information through various sources to obtain extensive and accurate analysis.
Each report takes an average time of a month and a team of 4 industry analysts. The time may vary depending on the scope and data availability of the desired market report. The various parameters used in the market assessment are standardized in order to enhance the data accuracy.
Data Mining
The data is collected from several authenticated, reliable, paid and unpaid sources and is filtered depending on the scope & objective of the research. Our reports repository acts as an added advantage in this procedure. Data gathering from the raw material suppliers, distributors and the manufacturers is performed on a regular basis, this helps in the comprehensive understanding of the products value chain. Apart from the above mentioned sources the data is also collected from the industry consultants to ensure the objective of the study is in the right direction.
Market trends such as technological advancements, regulatory affairs, market dynamics (Drivers, Restraints, Opportunities and Challenges) are obtained from scientific journals, market related national & international associations and organizations.
Data Analysis
From the data that is collected depending on the scope & objective of the research the data is subjected for the analysis. The critical steps that we follow for the data analysis include:
- Product Lifecycle Analysis
- Competitor analysis
- Risk analysis
- Porters Analysis
- PESTEL Analysis
- SWOT Analysis
The data engineering is performed by the core industry experts considering both the Marketing Mix Modeling and the Demand Forecasting. The marketing mix modeling makes use of multiple-regression techniques to predict the optimal mix of marketing variables. Regression factor is based on a number of variables and how they relate to an outcome such as sales or profits.
Data Validation
The data validation is performed by the exhaustive primary research from the expert interviews. This includes telephonic interviews, focus groups, face to face interviews, and questionnaires to validate our research from all aspects. The industry experts we approach come from the leading firms, involved in the supply chain ranging from the suppliers, distributors to the manufacturers and consumers so as to ensure an unbiased analysis.
We are in touch with more than 15,000 industry experts with the right mix of consultants, CEO's, presidents, vice presidents, managers, experts from both supply side and demand side, executives and so on.
The data validation involves the primary research from the industry experts belonging to:
- Leading Companies
- Suppliers & Distributors
- Manufacturers
- Consumers
- Industry/Strategic Consultants
Apart from the data validation the primary research also helps in performing the fill gap research, i.e. providing solutions for the unmet needs of the research which helps in enhancing the reports quality.
For more details about research methodology, kindly write to us at info@strategymrc.com
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