[350 Pages Report] The vegetable sorting machine market is projected to reach a valuation of US$ 622 Million in 2022 and is poised to expand at 4.2% CAGR between 2022 and 2032. Product quality is critical in fresh vegetable manufacturing to ensure longer shelf life, higher consumer satisfaction, and better wholesale pricing.
Attributes | Details |
---|---|
Food Service Market Size (2022E) | US$ 622 Million |
Projected Market Size (2032F) | US$ 937 Million |
Value CAGR (2022 to 2032) | 4.2% CAGR |
Traditionally sorting was done with the employed skilled personnel, with manually removed blemished or damaged products from a conveyor system. With the rising demand for processed vegetables and cost savings, manufacturers are improving the quality of their products switching to an automated sorting system.
Furthermore, equipment manufacturers aim to focus on delivering low-cost services to improve food quality. Monitoring the quality of any equipment, preferably in real-time, has become a must in today's foodservice business.
Remote maintenance and self-diagnosis facilities for vegetable sorting machinery have been included for networked and smart operations. This equipment helps to keep vegetables safe by assuring the hygiene, general quality, and sanitation of food preparation materials. Companies in the industry are developing products based on artificial intelligence (AI) and internet of things (IoT) technology to improve the user experience.
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Sorting was traditionally done manually, which allowed for some human errors. For organizations, failing to notice unwanted objects or defective products can have major ramifications, resulting in expensive litigation and other issues.
However, some farmers discovered that using new solutions like AI-powered sorting robots instead of traditional ways could be more productive and cost-effective in the long run.
Approximately 30% of vegetables are wasted during processing, and while some are damaged, a significant portion is eliminated solely owing to inefficient sorting processes. The need of reducing food waste goes beyond economic concerns, as food demand is anticipated to rise by 59% to 98% by 2050.
Fruit and vegetable sorting is an important aspect of the supply chain because it detects foreign materials or crops that do not fulfil food safety standards. On the back of these factors, the demand for vegetable sorting machines is expected to surge over the forecast period (2022-2032).
Artificial intelligence is a machine-based replica of human intelligence, and AI-powered systems may spot patterns and make independent judgments with the use of data to achieve the best potential result.
Increasing adoption of autonomous sorting machines for vegetables and other products such as fruits is another factor facilitating the growth in the market. Machine vision can do visual inspections of several things using AI cameras and algorithms to discover flaws, pollutants, or product defects.
Further, burgeoning demand for vegetable sorting machines around the globe will surge with growing preference for quick-service restaurants. Expansion of global food chains such as KFC, McDonald's, Starbucks, Taco Bell, and others will also boost the adoption of AI-vegetable sorting machines.
Vegetable sorting machine refers to different types of equipment used in different service areas such as preparation, cooking, holding, serving, preparing, and washing is available in a wide range in terms of size, shape, and materials used.
China Vegetable Sorting Machine Market to be the Hotspot for Manufacturers
China, which produces the most vegetables, is one of the most important markets for vegetable sorting machines. China was the top producer in 2020, with about 594 Mn metric tonnes of fresh vegetables produced, and followed by India with approximately 141.2 Mn metric tonnes. In East Asia vegetable sorting machines, China had a considerable market share of 49.4 percent.
Growing Adoption of Advanced Food Equipment to Propel the Demand for Vegetable Sorting Machines
The U.S. vegetable sorting machine market is poised to expand at a CAGR of 3.5%, with a market share of 86.8% in North America. North America's significant economic and infrastructure development will result in a gradual increase in demand for vegetable sorting machines.
Further, site expansions, replacements, restorations, aftermarket components, and service offerings are some other factors boosting the market.
Preference for Automated Food Equipment to Propel Vegetable Sorting Machines Demand in Germany
Germany vegetable sorting machine market is projected to account for a market share of 18.5% in Europe. Increasing preference for innovative items will drive the growth in the market. Preferences for high-performance equipment and machinery as automation also driving the demand in the Germany vegetable sorting machine market.
To Achieve Higher Product Quality, Adoption of Optical Vegetable Sorting Machines to Surge
Any processing procedure requires an optical sorting machine. An optical vegetable sorting machine sorts vegetables to help manufacturers meet food handling requirements and achieve higher product quality.
Cameras, illumination, and machine learning software are among the advances used by our sorting machine. By using shade, form, and surface, it avoids item abandonment and strange materials.
Automatic Vegetable Sorting Machine Fuelled by Processed Vegetable Manufacturers
Higher production rates and productivity, more efficient resource use, shorter factory lead times, and improved safety are all benefits typically attributed to automation. Higher output and productivity have been two of the most compelling arguments for using automation.
Despite claims of high quality from human craftsmanship, automated systems often complete the production process with less variability, resulting in better product control and consistency. Increased process control also allows for more efficient material utilization, resulting in reduced scrap.
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Key companies are exploring a range of techniques, including mergers and acquisitions, to improve their position and distribution channel in the global company. In addition, several major companies are working on new product launches and development to expand their capacity and get a presence in the market.
Attributes | Details |
---|---|
Estimated Market Size (2022E) | US$ 622 Million |
Projected Market Size (2032F) | US$ 937 Million |
Value CAGR (2022 to 2032) | 4.2% CAGR |
Forecast Period | 2022 to 2032 |
Historical Data Available for | 2017 to 2022 |
Market Analysis | US$ Million for Value and Units for Volume |
Key Regions Covered | North America; Latin America; Europe; East Asia; South Asia; Oceania; and MEA |
Key Countries Covered | USA, Canada, Mexico, Germany, UK, France, Italy, Spain, China, Japan, India, South Korea, Australia, Brazil, Japan, South Africa, and UAE |
Key Segments Covered | Processing Capacity, Technology, Operation Type, Vegetable Type, and Region |
Key Companies Profiled | Protec Srl Sorting Equipment; GREEFA; BHULER; SENVEC HATTORI SEISAKUSHO CO.,LTD.; Ellips B.V.; Quadra Machinery; Dimac SRL; Optimum sorting; Sormac B.V.; Techik Instrument (Shanghai)Co., Ltd; SELECT GmbH; TOMRA; PROEX FOOD, LLC; Azeus Food Machines; Union Co., Ltd.; Key Technology; Hefei Taihe Intelligent Technology Group; MAF RODA AGROBOTIC; NEWTEC A/S; Raytec Vision SpA; Cimbria Heid GmbH; Hefei Angelon Electronics Co.,Ltd.; Unitec S.p.A.; Henan Topp Machinery Co., Ltd; FUTURA SRL; Gridbots Technologies Private Limited; Dutch Weighing Company; CFT S.p.A; Equa Process & Services, LLC.; Ser. mac Srl |
Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, DROT Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The vegetable sorting machine market is expected to rise at a CAGR of 4.2%.
North America vegetable sorting machine market is expected to register a 3.5% CAGR between 2022 and 2032.
The demand for vegetable sorting machines in Europe is expected to grow at a 2.6% CAGR between 2022 and 2032.
1. Market Overview 1.1. Market Coverage / Taxonomy 1.2. Market Definition / Scope / Limitations 2. Market Dynamics 2.1. Drivers 2.1.1. Supply Side Drivers 2.1.2. Demand Side drivers 2.1.3. Economic Side Drivers 2.2. Restraints 2.3. Opportunity 2.4. Market trends By Region 2.5. Product Launches 2.6. Macro-Economic Factors 2.7. Forecast Factors - Relevance & Impact 3. Global Vegetable Sorting Machine Market - Pricing Analysis 3.1. Price Point Assessment by Region 3.1.1. Manufacturer Level Pricing 3.1.2. Distributor Level Pricing 3.2. Price Point Assessment by Technology 3.3. Price Point Assessment By Processing Capacity 4. Global Vegetable Sorting Machine Market Demand (in Value (US$ Mn) and Volume (Units) Analysis 2017–2021 and Forecast, 2022–2032 4.1. Historical Market Value (US$ Mn) and Volume (Units) Analysis, 2017–2021 4.2. Current and Future Market Value (US$ Mn) and Volume (Units) Projections, 2022–2032 4.2.1. Y-o-Y Growth Trend Analysis 4.2.2. Absolute $ Opportunity Analysis 5. Global Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032, By Processing Capacity 5.1. Introduction / Key Findings 5.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis By Processing Capacity, 2017–2021 5.3. Current and Future Market Size (US$ Mn) and Volume (Units) Analysis and Forecast By Processing Capacity, 2022–2032 5.3.1. 1 - 5 Ton/hr 5.3.2. 5 - 10 T/hr 5.3.3. 10 - 15 T/hr 5.3.4. 15 - 20 T/hr 5.3.5. More than 20 T/hr 5.4. Market Attractiveness Analysis By Processing Capacity 6. Global Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032, by Technology 6.1. Introduction / Key Findings 6.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis By Technology, 2017–2021 6.3. Current and Future Market Size (US$ Mn) and Volume (Units) Analysis and Forecast By Technology, 2022–2032 6.3.1. Optical Sorter 6.3.2. Color Sorter 6.3.3. Weight Sorter 6.3.4. Size Sorter 6.3.5. Others 6.4. Market Attractiveness Analysis By Technology 7. Global Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032, By Operation Type 7.1. Introduction / Key Findings 7.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis By Operation Type, 2017–2021 7.3. Current and Future Market Size (US$ Mn) and Volume (Units) Analysis and Forecast By Operation Type, 2022–2032 7.3.1. Automatic 7.3.2. Semi-automatic 7.3.3. Manual 7.4. Market Attractiveness Analysis By Operation Type 8. Global Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032, By Vegetable Type 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis By Vegetable Type, 2017–2021 8.3. Current and Future Market Size (US$ Mn) and Volume (Units) Analysis and Forecast By Vegetable Type, 2022–2032 8.3.1. Potato 8.3.2. Tomato 8.3.3. Carrots 8.3.4. Onions 8.3.5. Beans 8.3.6. Corn 8.3.7. Beets 8.3.8. Others (Cauliflower, Spinach, Cucumber, Brussels Sprouts, Broccoli) 8.4. Market Attractiveness Analysis By Vegetable Type 9. Global Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032, by Region 9.1. Introduction 9.2. Historical Market Size (US$ Mn) and Volume (Units) Analysis By Region, 2017–2021 9.3. Current Market Size (US$ Mn) and Volume (Units) Analysis and Forecast By Region, 2022–2032 9.3.1. North America 9.3.2. Latin America 9.3.3. Europe 9.3.4. East Asia 9.3.5. South Asia 9.3.6. Oceania 9.3.7. Middle East & Africa 9.4. Market Attractiveness Analysis By Region 10. North America Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 10.1. Introduction 10.2. Pricing Analysis 10.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 10.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 10.4.1. By Country 10.4.1.1. U.S. 10.4.1.2. Canada 10.4.2. By Technology 10.4.3. By Operation Type 10.4.4. By Vegetable Type 10.4.5. By Processing Capacity 10.5. Market Attractiveness Analysis 10.5.1. By Country 10.5.2. By Technology 10.5.3. By Operation Type 10.5.4. By Vegetable Type 10.5.5. By Processing Capacity 10.6. Market Trends 10.7. Key Market Participants - Intensity Mapping 10.8. Drivers and Restraints - Impact Analysis 11. Latin America Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 11.1. Introduction 11.2. Pricing Analysis 11.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 11.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 11.4.1. By Country 11.4.1.1. Brazil 11.4.1.2. Mexico 11.4.1.3. Argentina 11.4.1.4. Rest of Latin America 11.4.2. By Technology 11.4.3. By Operation Type 11.4.4. By Vegetable Type 11.4.5. By Processing Capacity 11.5. Market Attractiveness Analysis 11.5.1. By Country 11.5.2. By Technology 11.5.3. By Operation Type 11.5.4. By Vegetable Type 11.5.5. By Processing Capacity 11.6. By Market Trends 11.7. Key Market Participants - Intensity Mapping 11.8. Drivers and Restraints - Impact Analysis 12. Europe Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 12.1. Introduction 12.2. Pricing Analysis 12.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 12.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 12.4.1. By Country 12.4.1.1. Germany 12.4.1.2. U.K. 12.4.1.3. France 12.4.1.4. Italy 12.4.1.5. Spain 12.4.1.6. BENELUX 12.4.1.7. Nordic 12.4.1.8. Russia 12.4.1.9. Poland 12.4.1.10. Rest of Europe 12.4.2. By Technology 12.4.3. By Operation Type 12.4.4. By Vegetable Type 12.4.5. By Processing Capacity 12.5. Market Attractiveness Analysis 12.5.1. By Country 12.5.2. By Technology 12.5.3. By Operation Type 12.5.4. By Vegetable Type 12.5.5. By Processing Capacity 12.6. By Market Trends 12.7. Key Market Participants - Intensity Mapping 12.8. Drivers and Restraints - Impact Analysis 13. East Asia Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 13.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 13.4.1. By Country 13.4.1.1. China 13.4.1.2. Japan 13.4.1.3. South Korea 13.4.2. By Technology 13.4.3. By Operation Type 13.4.4. By Vegetable Type 13.4.5. By Processing Capacity 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Technology 13.5.3. By Operation Type 13.5.4. By Vegetable Type 13.5.5. By Processing Capacity 13.6. By End-Use Market Trends 13.7. Key Market Participants - Intensity Mapping 13.8. Drivers and Restraints - Impact Analysis 14. South Asia Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 14.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 14.4.1. By Country 14.4.1.1. India 14.4.1.2. Thailand 14.4.1.3. Malaysia 14.4.1.4. Indonesia 14.4.1.5. Singapore 14.4.1.6. Rest of South Asia 14.4.2. By Technology 14.4.3. By Operation Type 14.4.4. By Vegetable Type 14.4.5. By Processing Capacity 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Technology 14.5.3. By Operation Type 14.5.4. By Vegetable Type 14.5.5. By Processing Capacity 14.6. By End-Use Market Trends 14.7. Key Market Participants - Intensity Mapping 14.8. Drivers and Restraints - Impact Analysis 15. Oceania Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 15.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 15.4.1. By Country 15.4.1.1. Australia 15.4.1.2. New Zealand 15.4.2. By Technology 15.4.3. By Operation Type 15.4.4. By Vegetable Type 15.4.5. By Processing Capacity 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Technology 15.5.3. By Operation Type 15.5.4. By Vegetable Type 15.5.5. By Processing Capacity 15.6. By Market Trends 15.7. Key Market Participants - Intensity Mapping 15.8. Drivers and Restraints - Impact Analysis 16. MEA Vegetable Sorting Machine Market Analysis 2017–2021 and Forecast 2022–2032 16.1. Introduction 16.2. Pricing Analysis 16.3. Historical Market Size (US$ Mn) and Volume Trend Analysis By Market Taxonomy, 2017–2021 16.4. Market Size (US$ Mn) and Volume Forecast By Market Taxonomy, 2022–2032 16.4.1. By Country 16.4.1.1. GCC Countries 16.4.1.2. South Africa 16.4.1.3. Rest of MEA 16.4.2. By Technology 16.4.3. By Operation Type 16.4.4. By Vegetable Type 16.4.5. By Processing Capacity 16.5. Market Attractiveness Analysis 16.5.1. By Country 16.5.2. By Technology 16.5.3. By Operation Type 16.5.4. By Vegetable Type 16.5.5. By Processing Capacity 16.6. By Market Trends 16.7. Key Market Participants - Intensity Mapping 16.8. Drivers and Restraints - Impact Analysis 17. Country-level Vegetable Sorting Machine Market Analysis 17.1. Introduction 17.1.1. Market Value Proportion Analysis, By Key Countries 17.1.2. Global Vs. Country Growth Comparison 17.2. U.S. Vegetable Sorting Machine Market Analysis 17.2.1. By Technology 17.2.2. By Operation Type 17.2.3. By Vegetable Type 17.2.4. By Processing Capacity 17.3. Canada Vegetable Sorting Machine Market Analysis 17.3.1. By Technology 17.3.2. By Operation Type 17.3.3. By Vegetable Type 17.3.4. By Processing Capacity 17.4. Brazil Vegetable Sorting Machine Market Analysis 17.4.1. By Technology 17.4.2. By Operation Type 17.4.3. By Vegetable Type 17.4.4. By Processing Capacity 17.5. Mexico Vegetable Sorting Machine Market Analysis 17.5.1. By Technology 17.5.2. By Operation Type 17.5.3. By Vegetable Type 17.5.4. By Processing Capacity 17.6. Argentina Vegetable Sorting Machine Market Analysis 17.6.1. By Technology 17.6.2. By Operation Type 17.6.3. By Vegetable Type 17.6.4. By Processing Capacity 17.7. Germany Vegetable Sorting Machine Market Analysis 17.7.1. By Technology 17.7.2. By Operation Type 17.7.3. By Vegetable Type 17.7.4. By Processing Capacity 17.8. U.K. Vegetable Sorting Machine Market Analysis 17.8.1. By Technology 17.8.2. By Operation Type 17.8.3. By Vegetable Type 17.8.4. By Processing Capacity 17.9. France Vegetable Sorting Machine Market Analysis 17.9.1. By Technology 17.9.2. By Operation Type 17.9.3. By Vegetable Type 17.9.4. By Processing Capacity 17.10. Italy Vegetable Sorting Machine Market Analysis 17.10.1. By Technology 17.10.2. By Operation Type 17.10.3. By Vegetable Type 17.10.4. By Processing Capacity 17.11. Spain Vegetable Sorting Machine Market Analysis 17.11.1. By Technology 17.11.2. By Operation Type 17.11.3. By Vegetable Type 17.11.4. By Processing Capacity 17.12. BENELUX Europe Vegetable Sorting Machine Market Analysis 17.12.1. By Technology 17.12.2. By Operation Type 17.12.3. By Vegetable Type 17.12.4. By Processing Capacity 17.13. Nordic Vegetable Sorting Machine Market Analysis 17.13.1. By Technology 17.13.2. By Operation Type 17.13.3. By Vegetable Type 17.13.4. By Processing Capacity 17.14. Russia Region Vegetable Sorting Machine Market Analysis 17.14.1. By Technology 17.14.2. By Operation Type 17.14.3. By Vegetable Type 17.14.4. By Processing Capacity 17.15. Poland Vegetable Sorting Machine Market Analysis 17.15.1. By Technology 17.15.2. By Operation Type 17.15.3. By Vegetable Type 17.15.4. By Processing Capacity 17.16. China Vegetable Sorting Machine Market Analysis 17.16.1. By Technology 17.16.2. By Operation Type 17.16.3. By Vegetable Type 17.16.4. By Processing Capacity 17.17. Japan Vegetable Sorting Machine Market Analysis 17.17.1. By Technology 17.17.2. By Operation Type 17.17.3. By Vegetable Type 17.17.4. By Processing Capacity 17.18. South Korea Vegetable Sorting Machine Market Analysis 17.18.1. By Technology 17.18.2. By Operation Type 17.18.3. By Vegetable Type 17.18.4. By Processing Capacity 17.19. India Vegetable Sorting Machine Market Analysis 17.19.1. By Technology 17.19.2. By Operation Type 17.19.3. By Vegetable Type 17.19.4. By Processing Capacity 17.20. Thailand Vegetable Sorting Machine Market Analysis 17.20.1. By Technology 17.20.2. By Operation Type 17.20.3. By Vegetable Type 17.20.4. By Processing Capacity 17.21. Malaysia Vegetable Sorting Machine Market Analysis 17.21.1. By Technology 17.21.2. By Operation Type 17.21.3. By Vegetable Type 17.21.4. By Processing Capacity 17.22. Indonesia Vegetable Sorting Machine Market Analysis 17.22.1. By Technology 17.22.2. By Operation Type 17.22.3. By Vegetable Type 17.22.4. By Processing Capacity 17.23. Singapore Vegetable Sorting Machine Market Analysis 17.23.1. By Technology 17.23.2. By Operation Type 17.23.3. By Vegetable Type 17.23.4. By Processing Capacity 17.24. Australia Vegetable Sorting Machine Market Analysis 17.24.1. By Technology 17.24.2. By Operation Type 17.24.3. By Vegetable Type 17.24.4. By Processing Capacity 17.25. New Zealand Vegetable Sorting Machine Market Analysis 17.25.1. By Technology 17.25.2. By Operation Type 17.25.3. By Vegetable Type 17.25.4. By Processing Capacity 17.26. GCC Countries Vegetable Sorting Machine Market Analysis 17.26.1. By Technology 17.26.2. By Operation Type 17.26.3. By Vegetable Type 17.26.4. By Processing Capacity 17.27. South Africa Vegetable Sorting Machine Market Analysis 17.27.1. By Technology 17.27.2. By Operation Type 17.27.3. By Vegetable Type 17.27.4. By Processing Capacity 18. Market Structure Analysis 18.1. Global Vegetable Sorting Machine Market Competition - a Dashboard View 18.2. Global Vegetable Sorting Machine Market Structure Analysis 18.3. Global Vegetable Sorting Machine Market Company Share Analysis 18.3.1. For Tier 1 Market Players, 2021 18.3.2. Company Market Share Analysis of Top 5 Players, By Region 18.4. Key Participants Market Presence (Intensity Mapping) by Region 19. Competition Analysis 19.1. Competition Dashboard 19.2. Competition Benchmarking 19.3. Competition Deep Dive 19.3.1. BHULER 19.3.1.1. Product Portfolio 19.3.1.2. Revenue by Market Segments (Product/Channel/Region) 19.3.1.3. Sales Footprint 19.3.1.4. Strategy Overview 19.3.1.4.1. Marketing Strategy 19.3.1.4.2. Product Strategy 19.3.1.4.3. Channel Strategy 19.3.2. Protec srl Sorting Equipment 19.3.2.1. Product Portfolio 19.3.2.2. Revenue by Market Segments (Product/Channel/Region) 19.3.2.3. Sales Footprint 19.3.2.4. Strategy Overview 19.3.2.4.1. Marketing Strategy 19.3.2.4.2. Product Strategy 19.3.2.4.3. Channel Strategy 19.3.3. GREEFA 19.3.3.1. Product Portfolio 19.3.3.2. Revenue by Market Segments (Product/Channel/Region) 19.3.3.3. Sales Footprint 19.3.3.4. Strategy Overview 19.3.3.4.1. Marketing Strategy 19.3.3.4.2. Product Strategy 19.3.3.4.3. Channel Strategy 19.3.4. SENVEC HATTORI SEISAKUSHO CO.,LTD. 19.3.4.1. Product Portfolio 19.3.4.2. Revenue by Market Segments (Product/Channel/Region) 19.3.4.3. Sales Footprint 19.3.4.4. Strategy Overview 19.3.4.4.1. Marketing Strategy 19.3.4.4.2. Product Strategy 19.3.4.4.3. Channel Strategy 19.3.5. Ellips B.V. 19.3.5.1. Product Portfolio 19.3.5.2. Revenue by Market Segments (Product/Channel/Region) 19.3.5.3. Sales Footprint 19.3.5.4. Strategy Overview 19.3.5.4.1. Marketing Strategy 19.3.5.4.2. Product Strategy 19.3.5.4.3. Channel Strategy 19.3.6. Quadra Machinery 19.3.6.1. Product Portfolio 19.3.6.2. Revenue by Market Segments (Product/Channel/Region) 19.3.6.3. Sales Footprint 19.3.6.4. Strategy Overview 19.3.6.4.1. Marketing Strategy 19.3.6.4.2. Product Strategy 19.3.6.4.3. Channel Strategy 19.3.7. Dimac srl 19.3.7.1. Product Portfolio 19.3.7.2. Revenue by Market Segments (Product/Channel/Region) 19.3.7.3. Sales Footprint 19.3.7.4. Strategy Overview 19.3.7.4.1. Marketing Strategy 19.3.7.4.2. Product Strategy 19.3.7.4.3. Channel Strategy 19.3.8. Optimum Sorting 19.3.8.1. Product Portfolio 19.3.8.2. Revenue by Market Segments (Product/Channel/Region) 19.3.8.3. Sales Footprint 19.3.8.4. Strategy Overview 19.3.8.4.1. Marketing Strategy 19.3.8.4.2. Product Strategy 19.3.8.4.3. Channel Strategy 19.3.9. Sormac 19.3.9.1. Product Portfolio 19.3.9.2. Revenue by Market Segments (Product/Channel/Region) 19.3.9.3. Sales Footprint 19.3.9.4. Strategy Overview 19.3.9.4.1. Marketing Strategy 19.3.9.4.2. Product Strategy 19.3.9.4.3. Channel Strategy 19.3.10. Techik Instrument (Shanghai)Co., Ltd 19.3.10.1. Product Portfolio 19.3.10.2. Revenue by Market Segments (Product/Channel/Region) 19.3.10.3. Sales Footprint 19.3.10.4. Strategy Overview 19.3.10.4.1. Marketing Strategy 19.3.10.4.2. Product Strategy 19.3.10.4.3. Channel Strategy 19.3.11. TOMRA 19.3.11.1. Product Portfolio 19.3.11.2. Revenue by Market Segments (Product/Channel/Region) 19.3.11.3. Sales Footprint 19.3.11.4. Strategy Overview 19.3.11.4.1. Marketing Strategy 19.3.11.4.2. Product Strategy 19.3.11.4.3. Channel Strategy 19.3.12. PROEX FOOD, LLC 19.3.12.1. Product Portfolio 19.3.12.2. Revenue by Market Segments (Product/Channel/Region) 19.3.12.3. Sales Footprint 19.3.12.4. Strategy Overview 19.3.12.4.1. Marketing Strategy 19.3.12.4.2. Product Strategy 19.3.12.4.3. Channel Strategy 19.3.13. Azeus Food Machines 19.3.13.1. Product Portfolio 19.3.13.2. Revenue by Market Segments (Product/Channel/Region) 19.3.13.3. Sales Footprint 19.3.13.4. Strategy Overview 19.3.13.4.1. Marketing Strategy 19.3.13.4.2. Product Strategy 19.3.13.4.3. Channel Strategy 19.3.14. Union Co., Ltd. 19.3.14.1. Product Portfolio 19.3.14.2. Revenue by Market Segments (Product/Channel/Region) 19.3.14.3. Sales Footprint 19.3.14.4. Strategy Overview 19.3.14.4.1. Marketing Strategy 19.3.14.4.2. Product Strategy 19.3.14.4.3. Channel Strategy 19.3.15. Key Technology 19.3.15.1. Product Portfolio 19.3.15.2. Revenue by Market Segments (Product/Channel/Region) 19.3.15.3. Sales Footprint 19.3.15.4. Strategy Overview 19.3.15.4.1. Marketing Strategy 19.3.15.4.2. Product Strategy 19.3.15.4.3. Channel Strategy 19.3.16. Hefei Taihe Intelligent Technology Group 19.3.16.1. Product Portfolio 19.3.16.2. Revenue by Market Segments (Product/Channel/Region) 19.3.16.3. Sales Footprint 19.3.16.4. Strategy Overview 19.3.16.4.1. Marketing Strategy 19.3.16.4.2. Product Strategy 19.3.16.4.3. Channel Strategy 19.3.17. Pellenc ST 19.3.17.1. Product Portfolio 19.3.17.2. Revenue by Market Segments (Product/Channel/Region) 19.3.17.3. Sales Footprint 19.3.17.4. Strategy Overview 19.3.17.4.1. Marketing Strategy 19.3.17.4.2. Product Strategy 19.3.17.4.3. Channel Strategy 19.3.18. MAF RODA AGROBOTIC 19.3.18.1. Product Portfolio 19.3.18.2. Revenue by Market Segments (Product/Channel/Region) 19.3.18.3. Sales Footprint 19.3.18.4. Strategy Overview 19.3.18.4.1. Marketing Strategy 19.3.18.4.2. Product Strategy 19.3.18.4.3. Channel Strategy 19.3.19. NEWTEC A/S 19.3.19.1. Product Portfolio 19.3.19.2. Revenue by Market Segments (Product/Channel/Region) 19.3.19.3. Sales Footprint 19.3.19.4. Strategy Overview 19.3.19.4.1. Marketing Strategy 19.3.19.4.2. Product Strategy 19.3.19.4.3. Channel Strategy 19.3.20. Raytec Vision SpA 19.3.20.1. Product Portfolio 19.3.20.2. Revenue by Market Segments (Product/Channel/Region) 19.3.20.3. Sales Footprint 19.3.20.4. Strategy Overview 19.3.20.4.1. Marketing Strategy 19.3.20.4.2. Product Strategy 19.3.20.4.3. Channel Strategy 19.3.21. Cimbria Heid GmbH 19.3.21.1. Product Portfolio 19.3.21.2. Revenue by Market Segments (Product/Channel/Region) 19.3.21.3. Sales Footprint 19.3.21.4. Strategy Overview 19.3.21.4.1. Marketing Strategy 19.3.21.4.2. Product Strategy 19.3.21.4.3. Channel Strategy 19.3.22. Hefei Angelon Electronics Co.,Ltd. 19.3.22.1. Product Portfolio 19.3.22.2. Revenue by Market Segments (Product/Channel/Region) 19.3.22.3. Sales Footprint 19.3.22.4. Strategy Overview 19.3.22.4.1. Marketing Strategy 19.3.22.4.2. Product Strategy 19.3.22.4.3. Channel Strategy 19.3.23. Unitec S.p.A. 19.3.23.1. Product Portfolio 19.3.23.2. Revenue by Market Segments (Product/Channel/Region) 19.3.23.3. Sales Footprint 19.3.23.4. Strategy Overview 19.3.23.4.1. Marketing Strategy 19.3.23.4.2. Product Strategy 19.3.23.4.3. Channel Strategy 19.3.24. Henan Topp Machinery Co., Ltd 19.3.24.1. Product Portfolio 19.3.24.2. Revenue by Market Segments (Product/Channel/Region) 19.3.24.3. Sales Footprint 19.3.24.4. Strategy Overview 19.3.24.4.1. Marketing Strategy 19.3.24.4.2. Product Strategy 19.3.24.4.3. Channel Strategy 19.3.25. FUTURA SRL 19.3.25.1. Product Portfolio 19.3.25.2. Revenue by Market Segments (Product/Channel/Region) 19.3.25.3. Sales Footprint 19.3.25.4. Strategy Overview 19.3.25.4.1. Marketing Strategy 19.3.25.4.2. Product Strategy 19.3.25.4.3. Channel Strategy 19.3.26. Gridbots Technologies Private Limited 19.3.26.1. Product Portfolio 19.3.26.2. Revenue by Market Segments (Product/Channel/Region) 19.3.26.3. Sales Footprint 19.3.26.4. Strategy Overview 19.3.26.4.1. Marketing Strategy 19.3.26.4.2. Product Strategy 19.3.26.4.3. Channel Strategy 19.3.27. Dutch Weighing Company 19.3.27.1. Product Portfolio 19.3.27.2. Revenue by Market Segments (Product/Channel/Region) 19.3.27.3. Sales Footprint 19.3.27.4. Strategy Overview 19.3.27.4.1. Marketing Strategy 19.3.27.4.2. Product Strategy 19.3.27.4.3. Channel Strategy 19.3.28. CFT S.p.A 19.3.28.1. Product Portfolio 19.3.28.2. Revenue by Market Segments (Product/Channel/Region) 19.3.28.3. Sales Footprint 19.3.28.4. Strategy Overview 19.3.28.4.1. Marketing Strategy 19.3.28.4.2. Product Strategy 19.3.28.4.3. Channel Strategy 19.3.29. Bulltec S.r.l.s. 19.3.29.1. Product Portfolio 19.3.29.2. Revenue by Market Segments (Product/Channel/Region) 19.3.29.3. Sales Footprint 19.3.29.4. Strategy Overview 19.3.29.4.1. Marketing Strategy 19.3.29.4.2. Product Strategy 19.3.29.4.3. Channel Strategy 19.3.30. Equa Process & Services, LLC. 19.3.30.1. Product Portfolio 19.3.30.2. Revenue by Market Segments (Product/Channel/Region) 19.3.30.3. Sales Footprint 19.3.30.4. Strategy Overview 19.3.30.4.1. Marketing Strategy 19.3.30.4.2. Product Strategy 19.3.30.4.3. Channel Strategy 19.3.31. Other Players (On Additional Requests) 19.3.31.1. Product Portfolio 19.3.31.2. Revenue by Market Segments (Product/Channel/Region) 19.3.31.3. Sales Footprint 19.3.31.4. Strategy Overview 19.3.31.4.1. Marketing Strategy 19.3.31.4.2. Product Strategy 19.3.31.4.3. Channel Strategy 20. Impact of the Crisis (COVID) 20.1. Vegetable Sorting Machine Market Forecast Scenario Comparison of Annual Growth Rates for short Term (2022-2026) and Long Term (2027-2032) 20.1.1. Optimistic Scenario 20.1.1.1. China 20.1.1.2. US 20.1.1.3. India 20.1.1.4. Euro Zone 20.1.1.5. Asia Pacific 20.1.1.6. Rest of the World 20.1.2. Likely Scenario 20.1.2.1. China 20.1.2.2. US 20.1.2.3. India 20.1.2.4. Euro Zone 20.1.2.5. Asia Pacific 20.1.2.6. Rest of the World 20.1.3. Pessimistic Scenario 20.1.3.1. China 20.1.3.2. US 20.1.3.3. India 20.1.3.4. Euro Zone 20.1.3.5. Asia Pacific 20.1.3.6. Rest of the World 20.2. Key Factors Impacting the Market Note: Market Assessment shall be Provided for Likely Scenario 21. Assumptions and Acronyms Used 22. Research Methodology
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