Global Intelligent Waste Classification Systems Market Research Report 2024

Publication ID:

PB508241747

Publication Date:

August 6, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

Manufacturers [2]

Machinery [3]

Industry & Manufacturing [4]

Description:

An Intelligent Waste Classification System refers to a technological solution that uses advanced technologies such as artificial intelligence (AI), machine learning, sensors, and robotics to automatically classify and sort waste materials into specific categories. The primary purpose of these systems is to enhance waste management and recycling processes by improving the efficiency and accuracy of waste sorting.
The system is equipped with sensors, cameras, and scanning devices that capture data and information about waste materials. These sensors can detect various characteristics, such as shape, color, size, and material composition. AI algorithms and machine learning models are used to process the data collected by sensors. These algorithms can identify and classify different types of waste, including plastics, metals, glass, paper, and organic materials.
Intelligent Waste Classification Systems contribute to increased recycling rates and reduced landfill waste. By accurately sorting materials, they help recover valuable recyclables and reduce environmental impact. These systems significantly enhance the efficiency and productivity of waste management facilities by reducing manual labor and human error.
The global Intelligent Waste Classification Systems market was valued at US$ million in 2023 and is anticipated to reach US$ million by 2030, witnessing a CAGR of % during the forecast period 2024-2030.
North American market for Intelligent Waste Classification Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
Asia-Pacific market for Intelligent Waste Classification Systems is estimated to increase from $ million in 2023 to reach $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The global market for Intelligent Waste Classification Systems in Municipal Solid Waste Management is estimated to increase from $ million in 2023 to $ million by 2030, at a CAGR of % during the forecast period of 2024 through 2030.
The major global companies of Intelligent Waste Classification Systems include Terex ZenRobotics, Bollegraaf Recycling Solutions, TOMRA, AMP Robotics, Waste Robotics, Sesotec, Green Machine, HITACHI Zosen Inova and Sadako Technologies, etc. In 2023, the world's top three vendors accounted for approximately % of the revenue.
This report aims to provide a comprehensive presentation of the global market for Intelligent Waste Classification Systems, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Intelligent Waste Classification Systems.
Report Scope
The Intelligent Waste Classification Systems market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Intelligent Waste Classification Systems market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Intelligent Waste Classification Systems companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
Terex ZenRobotics
Bollegraaf Recycling Solutions
TOMRA
AMP Robotics
Waste Robotics
Sesotec
Green Machine
HITACHI Zosen Inova
Sadako Technologies
iFLYTEK
Steinert UniSort
Zenith Global
Segment by Type
Fully Automatic System
Semi-automatic System
Segment by Application
Municipal Solid Waste Management
Recycling Industry
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Intelligent Waste Classification Systems companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Intelligent Waste Classification Systems Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Fully Automatic System
1.2.3 Semi-automatic System
1.3 Market by Application
1.3.1 Global Intelligent Waste Classification Systems Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Municipal Solid Waste Management
1.3.3 Recycling Industry
1.3.4 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Intelligent Waste Classification Systems Market Perspective (2019-2030)
2.2 Intelligent Waste Classification Systems Growth Trends by Region
2.2.1 Global Intelligent Waste Classification Systems Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Intelligent Waste Classification Systems Historic Market Size by Region (2019-2024)
2.2.3 Intelligent Waste Classification Systems Forecasted Market Size by Region (2025-2030)
2.3 Intelligent Waste Classification Systems Market Dynamics
2.3.1 Intelligent Waste Classification Systems Industry Trends
2.3.2 Intelligent Waste Classification Systems Market Drivers
2.3.3 Intelligent Waste Classification Systems Market Challenges
2.3.4 Intelligent Waste Classification Systems Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Intelligent Waste Classification Systems Players by Revenue
3.1.1 Global Top Intelligent Waste Classification Systems Players by Revenue (2019-2024)
3.1.2 Global Intelligent Waste Classification Systems Revenue Market Share by Players (2019-2024)
3.2 Global Intelligent Waste Classification Systems Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Intelligent Waste Classification Systems Revenue
3.4 Global Intelligent Waste Classification Systems Market Concentration Ratio
3.4.1 Global Intelligent Waste Classification Systems Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Intelligent Waste Classification Systems Revenue in 2023
3.5 Intelligent Waste Classification Systems Key Players Head office and Area Served
3.6 Key Players Intelligent Waste Classification Systems Product Solution and Service
3.7 Date of Enter into Intelligent Waste Classification Systems Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Intelligent Waste Classification Systems Breakdown Data by Type
4.1 Global Intelligent Waste Classification Systems Historic Market Size by Type (2019-2024)
4.2 Global Intelligent Waste Classification Systems Forecasted Market Size by Type (2025-2030)
5 Intelligent Waste Classification Systems Breakdown Data by Application
5.1 Global Intelligent Waste Classification Systems Historic Market Size by Application (2019-2024)
5.2 Global Intelligent Waste Classification Systems Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Intelligent Waste Classification Systems Market Size (2019-2030)
6.2 North America Intelligent Waste Classification Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Intelligent Waste Classification Systems Market Size by Country (2019-2024)
6.4 North America Intelligent Waste Classification Systems Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Intelligent Waste Classification Systems Market Size (2019-2030)
7.2 Europe Intelligent Waste Classification Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Intelligent Waste Classification Systems Market Size by Country (2019-2024)
7.4 Europe Intelligent Waste Classification Systems Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Intelligent Waste Classification Systems Market Size (2019-2030)
8.2 Asia-Pacific Intelligent Waste Classification Systems Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Intelligent Waste Classification Systems Market Size by Region (2019-2024)
8.4 Asia-Pacific Intelligent Waste Classification Systems Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Intelligent Waste Classification Systems Market Size (2019-2030)
9.2 Latin America Intelligent Waste Classification Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Intelligent Waste Classification Systems Market Size by Country (2019-2024)
9.4 Latin America Intelligent Waste Classification Systems Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Intelligent Waste Classification Systems Market Size (2019-2030)
10.2 Middle East & Africa Intelligent Waste Classification Systems Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Intelligent Waste Classification Systems Market Size by Country (2019-2024)
10.4 Middle East & Africa Intelligent Waste Classification Systems Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Terex ZenRobotics
11.1.1 Terex ZenRobotics Company Detail
11.1.2 Terex ZenRobotics Business Overview
11.1.3 Terex ZenRobotics Intelligent Waste Classification Systems Introduction
11.1.4 Terex ZenRobotics Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.1.5 Terex ZenRobotics Recent Development
11.2 Bollegraaf Recycling Solutions
11.2.1 Bollegraaf Recycling Solutions Company Detail
11.2.2 Bollegraaf Recycling Solutions Business Overview
11.2.3 Bollegraaf Recycling Solutions Intelligent Waste Classification Systems Introduction
11.2.4 Bollegraaf Recycling Solutions Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.2.5 Bollegraaf Recycling Solutions Recent Development
11.3 TOMRA
11.3.1 TOMRA Company Detail
11.3.2 TOMRA Business Overview
11.3.3 TOMRA Intelligent Waste Classification Systems Introduction
11.3.4 TOMRA Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.3.5 TOMRA Recent Development
11.4 AMP Robotics
11.4.1 AMP Robotics Company Detail
11.4.2 AMP Robotics Business Overview
11.4.3 AMP Robotics Intelligent Waste Classification Systems Introduction
11.4.4 AMP Robotics Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.4.5 AMP Robotics Recent Development
11.5 Waste Robotics
11.5.1 Waste Robotics Company Detail
11.5.2 Waste Robotics Business Overview
11.5.3 Waste Robotics Intelligent Waste Classification Systems Introduction
11.5.4 Waste Robotics Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.5.5 Waste Robotics Recent Development
11.6 Sesotec
11.6.1 Sesotec Company Detail
11.6.2 Sesotec Business Overview
11.6.3 Sesotec Intelligent Waste Classification Systems Introduction
11.6.4 Sesotec Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.6.5 Sesotec Recent Development
11.7 Green Machine
11.7.1 Green Machine Company Detail
11.7.2 Green Machine Business Overview
11.7.3 Green Machine Intelligent Waste Classification Systems Introduction
11.7.4 Green Machine Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.7.5 Green Machine Recent Development
11.8 HITACHI Zosen Inova
11.8.1 HITACHI Zosen Inova Company Detail
11.8.2 HITACHI Zosen Inova Business Overview
11.8.3 HITACHI Zosen Inova Intelligent Waste Classification Systems Introduction
11.8.4 HITACHI Zosen Inova Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.8.5 HITACHI Zosen Inova Recent Development
11.9 Sadako Technologies
11.9.1 Sadako Technologies Company Detail
11.9.2 Sadako Technologies Business Overview
11.9.3 Sadako Technologies Intelligent Waste Classification Systems Introduction
11.9.4 Sadako Technologies Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.9.5 Sadako Technologies Recent Development
11.10 iFLYTEK
11.10.1 iFLYTEK Company Detail
11.10.2 iFLYTEK Business Overview
11.10.3 iFLYTEK Intelligent Waste Classification Systems Introduction
11.10.4 iFLYTEK Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.10.5 iFLYTEK Recent Development
11.11 Steinert UniSort
11.11.1 Steinert UniSort Company Detail
11.11.2 Steinert UniSort Business Overview
11.11.3 Steinert UniSort Intelligent Waste Classification Systems Introduction
11.11.4 Steinert UniSort Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.11.5 Steinert UniSort Recent Development
11.12 Zenith Global
11.12.1 Zenith Global Company Detail
11.12.2 Zenith Global Business Overview
11.12.3 Zenith Global Intelligent Waste Classification Systems Introduction
11.12.4 Zenith Global Revenue in Intelligent Waste Classification Systems Business (2019-2024)
11.12.5 Zenith Global Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Terex ZenRobotics
Bollegraaf Recycling Solutions
TOMRA
AMP Robotics
Waste Robotics
Sesotec
Green Machine
HITACHI Zosen Inova
Sadako Technologies
iFLYTEK
Steinert UniSort
Zenith Global

License Types:

Single User License (PDF)

This license allows for use of a publication by one person.
This person may print out a single copy of the publication.
This person can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
This person cannot share the publication (or any information contained therein) with any other person or persons.
Unless a Enterprise License is purchased, a Single User License must be purchased for every person that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Site License (PDF)*

This license allows for use of a publication by all users within one corporate location, e.g. a regional office.
These users may print out a single copy of the publication.
These users can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.
These users cannot share the publication (or any information contained therein) with any other person or persons outside the corporate location for which the publication is purchased.
Unless a Enterprise License is purchased, a Site User License must be purchased for every corporate location by an organization that wishes to use the publication within the same organization.
Customers who infringe these license terms are liable for a Global license fee.

听

Global License (PDF)*

This license allows for use of a publication by unlimited users within the purchasing organization e.g. all employees of a single company.
Each of these people may use the publication on any computer, and may print out the report, but may not share the publication (or any information contained therein) with any other person or persons outside of the organization.
These employees of purchasing organization can include information given in the publication in presentations and internal reports by providing full copyright credit to the publisher.

*If Applicable.

91制片厂