市場調查報告書
商品編碼
1500197
水果和蔬菜分類機市場:按類型、操作和最終用戶分類 - 全球預測 2024-2030Fruit & Vegetable Sorting Machine Market by Type (Optical Sorting Machines, Shape Sorting Machines, Size Sorting Machines), Operation (Automatic, Manual, Semi-Automatic), End-User - Global Forecast 2024-2030 |
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預計2023年蔬果分類機市場規模為11億美元,到2024年將達11.7億美元,預計2030年將達17.7億美元,複合年成長率為6.95%。
水果和蔬菜分類機是一種自動系統,旨在根據各種水果和蔬菜的形狀、顏色、品質、大小和其他參數對它們進行分選和分級。這些機器利用電腦視覺、感測器和人工智慧等先進技術來分析產品特徵並進行相應的分類。透過自動化分選過程,這些機器降低了人事費用,提高了生產率,最大限度地減少了人為錯誤,並確保分選的水果和蔬菜的品質一致。蔬果產業的擴張以及政府改善其種植的投資激增,為蔬果分類機市場的發展創造了有利條件。此外,消費者對水果和蔬菜品質的日益關注以及線上水果和蔬菜零售的擴張正在顯著推動水果和蔬菜分類機的採用。然而,機器需要頻繁的維護以及對某些產品的分選精度有限,阻礙了果蔬分分類機的使用。處理和操作水果和蔬菜分類機的複雜性可能會為機器的採用帶來額外的挑戰。自動分類機的不斷進步、對產品永續性和減少廢棄物的日益關注,預計將透過提高機器性能、效率和安全性為水果和蔬菜分類機市場創造新的機會。
主要市場統計 | |
---|---|
基準年[2023] | 11億美元 |
預計年份 [2024] | 11.7億美元 |
預測年份 [2030] | 17.7億美元 |
複合年成長率(%) | 6.95% |
區域洞察
在美洲地區,特別是在美國和加拿大,對水果和蔬菜分類機的需求主要是由大規模農業實踐和加工設施的高效率需求所驅動的。客戶的購買行為受到技術進步的影響,技術進步提高了分類準確性並降低了人事費用。最近的投資重點是整合人工智慧和機器學習技術,以提高分類的品質和速度。亞太地區是全球最大的蔬果生產國之一,對分類機的需求量很大。亞太地區各國政府透過補貼引進先進農業機械來支持該產業,從而在具有成本效益的分選技術方面帶來了一些本地創新和專利。由於中小型農場數量眾多,因此重點關注負擔得起且可擴展的技術。最近政府旨在促進食品加工和儲存的措施刺激了現代分類機的引進。在歐盟,有關食品品質和安全的嚴格法規推動了對先進分選解決方案的需求。歐盟的研究和技術開發非常活躍,往往會帶來該行業開創性專利,例如用於評估水果內部品質的近紅外線 (NIR) 技術。中東地區對分類機的需求不斷增加,主要是由於食品進口需求的增加和農業科技園區的發展。
FPNV定位矩陣
FPNV 定位矩陣對於評估水果和蔬菜分類機市場供應商的市場定位至關重要。此矩陣提供了對供應商的全面評估,並檢查了與商務策略和產品滿意度相關的關鍵指標。這種詳細的評估使用戶能夠根據自己的要求做出明智的決定。根據評估結果,供應商被分為代表其成功程度的四個像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市場佔有率分析
市場佔有率分析是一種綜合工具,可以對水果和蔬菜分類機市場供應商的當前狀態進行深入而詳細的評估。透過仔細比較和分析供應商的貢獻,您可以更深入地了解每個供應商的績效以及他們在爭奪市場佔有率時面臨的挑戰。這些貢獻包括整體收益、客戶群和其他重要指標。此外,該分析還提供了對該行業競爭性質的寶貴見解,包括在研究基準年期間觀察到的累積、分散主導地位和合併特徵等因素。有了這些詳細資訊,供應商可以做出更明智的決策並製定有效的策略,以在市場競爭中保持領先地位。
戰略分析和建議
策略分析對於尋求在全球市場站穩腳跟的組織至關重要。對目前在水果和蔬菜分類機市場中的地位進行全面評估,使公司能夠做出符合其長期願望的明智決策。此關鍵評估涉及對組織的資源、能力和整體績效進行徹底分析,以確定核心優勢和需要改進的領域。
[184 Pages Report] The Fruit & Vegetable Sorting Machine Market size was estimated at USD 1.10 billion in 2023 and expected to reach USD 1.17 billion in 2024, at a CAGR 6.95% to reach USD 1.77 billion by 2030.
A fruit & vegetable sorting machine is an automated system designed to sort and grade various fruits and vegetables based on their shape, color, quality, size, and other parameters. These machines utilize advanced technology such as computer vision, sensors, and artificial intelligence to analyze and sort the product's characteristics accordingly. By automating the sorting process, these machines reduce labor costs, enhance productivity, minimize human errors, and ensure consistent quality in the sorted produce. The expansion of the fruit and vegetable industry and burgeoning government investments to improve their cultivation creates a favorable landscape for the progress of the fruit and vegetable sorting machine market. Moreover, increasing consumer focus on the quality of fruit and vegetables and expanding online retail of fruits and vegetables are significantly propelling the adoption of fruit & vegetable sorting machines. However, frequent maintenance required for machines and limited sorting accuracy for certain products impede the utilization of fruit & vegetable sorting machines. Complexities in the handling and operation of fruit and vegetable sorting machines can further pose challenges to the adoption of the machinery. Ongoing advancements in automated sorting machines and increasing focus on product sustainability and waste reduction are expected to create new opportunities for the fruit & vegetable sorting machine market by improving the performance, efficiency, and safety of the machinery.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 1.10 billion |
Estimated Year [2024] | USD 1.17 billion |
Forecast Year [2030] | USD 1.77 billion |
CAGR (%) | 6.95% |
Regional Insights
In the Americas region, particularly the U.S. and Canada, the demand for fruit and vegetable sorting machines is primarily driven by large-scale agricultural practices and the need for high efficiency in processing facilities. Customer purchasing behavior is influenced by technological advancements that offer enhanced sorting accuracy and reduced labor costs. Recent investments focus on integrating AI and machine learning technologies to improve the quality and speed of sorting. APAC, being one of the largest producers of fruits and vegetables globally, has a significant demand for sorting machines. The APAC governments have supported this sector through subsidies for the adoption of advanced agricultural machines, leading to several local innovations and patents in cost-effective sorting technologies. The focus is on affordable, scalable technologies due to the vast number of small to medium-sized farms. Recent government initiatives aimed at boosting food processing and storage have catalyzed the adoption of modern sorting machines. In the EU, stringent regulations on food quality and safety drive the need for advanced sorting solutions. EU's research and technological development are robust, often leading to pioneering patents in the industry, such as near-infrared (NIR) technology for assessing internal fruit quality. The Middle East experiences a growing demand for sorting machines primarily due to increasing food import needs and the development of agricultural technology parks.
Market Insights
The market dynamics represent an ever-changing landscape of the Fruit & Vegetable Sorting Machine Market by providing actionable insights into factors, including supply and demand levels. Accounting for these factors helps design strategies, make investments, and formulate developments to capitalize on future opportunities. In addition, these factors assist in avoiding potential pitfalls related to political, geographical, technical, social, and economic conditions, highlighting consumer behaviors and influencing manufacturing costs and purchasing decisions.
FPNV Positioning Matrix
The FPNV positioning matrix is essential in evaluating the market positioning of the vendors in the Fruit & Vegetable Sorting Machine Market. This matrix offers a comprehensive assessment of vendors, examining critical metrics related to business strategy and product satisfaction. This in-depth assessment empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success, namely Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The market share analysis is a comprehensive tool that provides an insightful and in-depth assessment of the current state of vendors in the Fruit & Vegetable Sorting Machine Market. By meticulously comparing and analyzing vendor contributions, companies are offered a greater understanding of their performance and the challenges they face when competing for market share. These contributions include overall revenue, customer base, and other vital metrics. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With these illustrative details, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Recent Developments
Innovative Efficiency in Agriculture, The Impact of AI on Blueberry Sorting with Green Sort
The Green Sort blueberry sorting machine showcases significant advancements in fruit sorting technology. Employing infrared light, this machine distinguishes healthy fruits from those beginning to rot by detecting the difference in light absorption. Enhanced with artificial intelligence, Green Sort achieves an impressive 90% accuracy in identifying and rejecting unripe or spoiled blueberries. This AI-driven system learns to recognize fruit quality through thousands of reference images, offering a substantial improvement over traditional sensor-based or laser technologies. [Published On: 2024-05-20]
Enhancing Fresh and Processed Food Production with AI-Driven Sorting and Grading Technologies by Tomra Food
Tomra Food has launched two innovative AI-based solutions designed to enhance the efficiency and profitability of fresh and processed food production. The Tomra Neon and the Spectrim X series represent significant advancements in the field of agricultural technology. Tomra Food's solutions pave the way for more sustainable and profitable agricultural practices, indicating a future where AI plays a pivotal role in global food production systems. [Published On: 2024-01-22]
Innovations in Fruit Packaging, Enhancing Efficiency with Sorma Group's LCP-128A Weighing Machine
The Sorma Group has launched the LCP-128A weighing machine, a cutting-edge solution designed to streamline the packaging process of cluster tomatoes and other similar products. This machine introduces an innovative approach by aiding in the completion of partially filled trays, after which the machine calculates and adds the precise amount of fruit needed to meet a predefined minimum weight. This functionality maximizes labor efficiency and also ensures optimal product weight, preventing the issue of overweight trays. [Published On: 2023-03-22]
Strategy Analysis & Recommendation
The strategic analysis is essential for organizations seeking a solid foothold in the global marketplace. Companies are better positioned to make informed decisions that align with their long-term aspirations by thoroughly evaluating their current standing in the Fruit & Vegetable Sorting Machine Market. This critical assessment involves a thorough analysis of the organization's resources, capabilities, and overall performance to identify its core strengths and areas for improvement.
Key Company Profiles
The report delves into recent significant developments in the Fruit & Vegetable Sorting Machine Market, highlighting leading vendors and their innovative profiles. These include Aweta, Buhler AG, CFT S.p.A., Crux Agribotics BV by Kind Technologies, Ellips B.V., Equa Process & Services, LLC., FUTURA SRL, GREEFA Italia GmbH, Gridbots Technologies Private Limited, Haith Engineers Ltd., Hefei Angelon Electronics Co., Ltd., IBC Machine, John Bean Technologies, MAF Agrobotic, MaxinAI, Navatta Group, Optimum nv, Osaw Agro Industries Private Limited, Pigo S.r.l., Protec s.r.l., Quadra Machinery, Reemoon Technology Holdings Co., Ltd., SELECT GmbH, Ser.mac Srl, Sesotec GmbH, Shanghai Goingwind Machinery Co., Ltd., Techik Instrument (Shanghai) Co., Ltd., TOMRA Systems ASA, Union Co., Ltd., Zentron Labs Pvt. Ltd ., and Zhaoqing Fengxiang Food Machinery Co., Ltd..
Market Segmentation & Coverage