市场调查报告书
商品编码
1500197
水果和蔬菜分类机市场:按类型、操作和最终用户划分 - 全球预测 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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预计2023年蔬果分类机市场规模为11亿美元,到2024年将达11.7亿美元,预计2030年将达17.7亿美元,复合年增长率为6.95%。
水果和蔬菜分类机是一种自动系统,旨在根据各种水果和蔬菜的形状、颜色、品质、大小和其他参数对它们进行分选和分级。这些机器利用电脑视觉、感测器和人工智慧等先进技术来分析产品特征并进行相应的分类。透过自动化分选过程,这些机器降低了人事费用,提高了生产率,最大限度地减少了人为错误,并确保分选的水果和蔬菜的品质一致。蔬果产业的扩张以及政府改善其种植的投资激增,为蔬果分类机市场的发展创造了有利条件。此外,消费者对水果和蔬菜品质的日益关注以及线上水果和蔬菜零售的扩张正在显着推动水果和蔬菜分类机的采用。然而,机器需要频繁的维护以及对某些产品的分选精度有限,阻碍了果蔬分分类机的使用。处理和操作水果和蔬菜分类机的复杂性可能会为机器的采用带来额外的挑战。自动分类机的不断进步、对产品永续性和减少废弃物的日益关注,预计将透过提高机器性能、效率和安全性为水果和蔬菜分类机市场创造新的机会。
主要市场统计 | |
---|---|
基准年[2023] | 11亿美元 |
预计年份 [2024] | 11.7亿美元 |
预测年份 [2030] | 17.7亿美元 |
复合年增长率(%) | 6.95% |
区域洞察
在美洲地区,特别是在美国和加拿大,对水果和蔬菜分类机的需求主要是由大规模农业实践和加工设施的高效率需求所驱动的。客户的购买行为受到技术进步的影响,技术进步提高了分类准确性并降低了人事费用。最近的投资重点是整合人工智慧和机器学习技术,以提高分类的品质和速度。亚太地区是全球最大的蔬果生产国之一,对分类机的需求量很大。亚太地区各国政府透过补贴引进先进农业机械来支持该产业,从而在具有成本效益的分选技术方面带来了一些本地创新和专利。由于中小型农场数量众多,因此重点关注负担得起且可扩展的技术。最近政府旨在促进食品加工和储存的措施刺激了现代分类机的引进。在欧盟,有关食品品质和安全的严格法规推动了对先进分选解决方案的需求。欧盟的研究和技术开发非常活跃,往往会带来该行业开创性专利,例如用于评估水果内部品质的近红外线 (NIR) 技术。中东地区对分类机的需求不断增加,主要是由于食品进口需求的增加和农业科技园区的发展。
FPNV定位矩阵
FPNV 定位矩阵对于评估水果和蔬菜分类机市场供应商的市场定位至关重要。此矩阵提供了对供应商的全面评估,并检查了与商务策略和产品满意度相关的关键指标。这种详细的评估使用户能够根据自己的要求做出明智的决定。根据评估结果,供应商被分为代表其成功程度的四个像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对水果和蔬菜分类机市场供应商的当前状态进行深入而详细的评估。透过仔细比较和分析供应商的贡献,您可以更深入地了解每个供应商的绩效以及他们在争夺市场占有率时面临的挑战。这些贡献包括整体收益、客户群和其他重要指标。此外,该分析还提供了对该行业竞争性质的宝贵见解,包括在研究基准年期间观察到的累积、分散主导地位和合併特征等因素。有了这些详细信息,供应商可以做出更明智的决策并製定有效的策略,以在市场竞争中保持领先地位。
战略分析和建议
策略分析对于寻求在全球市场站稳脚跟的组织至关重要。对目前在水果和蔬菜分类机市场中的地位进行全面评估,使公司能够做出符合其长期愿望的明智决策。此关键评估涉及对组织的资源、能力和整体绩效进行彻底分析,以确定核心优势和需要改进的领域。
[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 | |
---|---|
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