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Global Robotic Waste Sorting System Market to reach USD XX billion by 2027.

Global Robotic Waste Sorting System Market Size study, by Recycling Facilities (Electronics Recycling, Materials Recovery Facility, PET Recycling, Mixed Waste, Construction & Demolition, Others) by End User (Recycling Industry, Plastics Industry, Metal & Minerals Industry, Wood Industry, Food Industry, Others) and Regional Forecasts 2021-2027

Product Code: OIRIA-74441003
Publish Date: 2-09-2021
Page: 200

Global Robotic Waste Sorting System Market is valued approximately USD XX billion in 2020 and is anticipated to grow with a healthy CAGR of XX% over the forecast period 2021-2027. Robotic waste sorting systems perform the task of segregating certain types of items such as recyclable, hazardous, and non-biodegradable from the waste input with minimal human involvement. Robots are equipped with advance AI algorithms to carry out the task of waste sorting. The Robotic Waste Sorting System market is gaining traction due to higher productivity and cost efficiency achieved by employing robots over humans. Some of the leading waste sorting robotic systems can reach speeds of over 4000 picks per hour and work 24×7. These rates and consistency are not possible through any traditional sorting methods.
Another driving factor for this market is tightening government restrictions on waste disposal putting more pressure on sorting systems. For instance, China made its contamination rules stricter by bringing down contamination standard guideline from 1.5% to 0.5 % for paper and plastics. These rigorous standards increase the need for better sorting at materials recovery facilities. However, high cost of setting up a robotic sorting system discourages many businesses which can impede the growth of the market over forecast period of 2021-27. Nevertheless, with increasing need for efficient waste management for environmental preservation, Robotic Waste Sorting System Market is likely to increase the market growth during the forecast period.

Regional analysis of Asia Pacific, North America, Europe, Latin America and Rest of the World, demonstrates that North America is the most significant player across the world in terms of market share owing to highest waste generation, stringent rules for waste recycling and advancements in robotics technology. At the same time, North America is also anticipated to exhibit the highest growth rate over the forecast period 2021-2027. Factors such as increasing investments into waste management, government participation in sustainability efforts and rising consumption of toxic waste would create lucrative growth prospects for the Robotic Waste Sorting System Market across North America region.

Major market player included in this report are:
Machinex Industries Inc
AMP Robotics Corporation
Bulk Handling Systems
ZenRobotics Ltd
Sadako Technologies
Waste Robotics Inc
General Kinematics
Bollegraaf Recycling
Pellenc ST

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Recycling Facilities:
Electronics Recycling
Materials Recovery Facility
PET Recycling
Mixed Waste
Construction & Demolition
By End User:
Recycling industry
Plastics industry
Metal & Minerals industry
Wood industry
Food industry
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027

Target Audience of the Global Robotic Waste Sorting System Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Robotic Waste Sorting System Market, by Region, 2019-2027 (USD Billion)
1.2.2. Robotic Waste Sorting System Market, by Recycling Facilities, 2019-2027 (USD Billion)
1.2.3. Robotic Waste Sorting System Market, by End User, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Robotic Waste Sorting System Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Robotic Waste Sorting System Market Dynamics
3.1. Robotic Waste Sorting System Market Impact Analysis (2019-2027)
3.1.1. Market Drivers High productivity of sorting robots Stringent rules of governments towards waste sorting
3.1.2. Market Challenges High initial investment of robotic sorting systems
3.1.3. Market Opportunities Environmental importance of better waste management
Chapter 4. Global Robotic Waste Sorting System Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Robotic Waste Sorting System Market, by Recycling Facilities
5.1. Market Snapshot
5.2. Global Robotic Waste Sorting System Market by Recycling Facilities, Performance – Potential Analysis
5.3. Global Robotic Waste Sorting System Market Estimates & Forecasts by Recycling Facilities 2018-2027 (USD Billion)
5.4. Robotic Waste Sorting System Market, Sub Segment Analysis
5.4.1. Electronics Recycling
5.4.2. Materials Recovery Facility
5.4.3. PET Recycling
5.4.4. Mixed Waste
5.4.5. Construction & Demolition
5.4.6. Others
Chapter 6. Global Robotic Waste Sorting System Market, by End User
6.1. Market Snapshot
6.2. Global Robotic Waste Sorting System Market by End User, Performance – Potential Analysis
6.3. Global Robotic Waste Sorting System Market Estimates & Forecasts by End User 2018-2027 (USD Billion)
6.4. Robotic Waste Sorting System Market, Sub Segment Analysis
6.4.1. Recycling Industry
6.4.2. Plastics Industry
6.4.3. Metal & Minerals Industry
6.4.4. Wood Industry
6.4.5. Food Industry
6.4.6. Others
Chapter 7. Global Robotic Waste Sorting System Market, Regional Analysis
7.1. Robotic Waste Sorting System Market, Regional Market Snapshot
7.2. North America Robotic Waste Sorting System Market
7.2.1. U.S. Robotic Waste Sorting System Market Recycling Facilities breakdown estimates & forecasts, 2018-2027 End User breakdown estimates & forecasts, 2018-2027
7.2.2. Canada Robotic Waste Sorting System Market
7.3. Europe Robotic Waste Sorting System Market Snapshot
7.3.1. U.K. Robotic Waste Sorting System Market
7.3.2. Germany Robotic Waste Sorting System Market
7.3.3. France Robotic Waste Sorting System Market
7.3.4. Spain Robotic Waste Sorting System Market
7.3.5. Italy Robotic Waste Sorting System Market
7.3.6. Rest of Europe Robotic Waste Sorting System Market
7.4. Asia-Pacific Robotic Waste Sorting System Market Snapshot
7.4.1. China Robotic Waste Sorting System Market
7.4.2. India Robotic Waste Sorting System Market
7.4.3. Japan Robotic Waste Sorting System Market
7.4.4. Australia Robotic Waste Sorting System Market
7.4.5. South Korea Robotic Waste Sorting System Market
7.4.6. Rest of Asia Pacific Robotic Waste Sorting System Market
7.5. Latin America Robotic Waste Sorting System Market Snapshot
7.5.1. Brazil Robotic Waste Sorting System Market
7.5.2. Mexico Robotic Waste Sorting System Market
7.6. Rest of The World Robotic Waste Sorting System Market

Chapter 8. Competitive Intelligence
8.1. Top Market Strategies
8.2. Company Profiles
8.2.1. Machinex Industries Inc Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
8.2.2. AMP Robotics Corporation
8.2.3. Bulk Handling Systems
8.2.4. ZenRobotics Ltd.
8.2.5. Sadako Technologies
8.2.6. Waste Robotics Inc
8.2.7. General Kinematics
8.2.8. Bollegraaf Recycling
8.2.9. Pellenc ST
8.2.10. TOMRA
Chapter 9. Research Process
9.1. Research Process
9.1.1. Data Mining
9.1.2. Analysis
9.1.3. Market Estimation
9.1.4. Validation
9.1.5. Publishing
9.2. Research Attributes
9.3. Research Assumption

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Data Collection:
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In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
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