[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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