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農業供應鏈最佳化平台市場預測至2032年：按平台類型、部署模式、應用、最終用戶和地區分類的全球分析

Agri Supply Chain Optimization Platforms Market Forecasts to 2032 - Global Analysis By Platform Type, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計到 2025 年，全球農業供應鏈最佳化平台市場規模將達到 150.7 億美元，到 2032 年將達到 327 億美元，預測期內複合年成長率為 11.7%。

農業供應鏈最佳化平台是旨在透過整合數據、自動化和即時分析，提升農業供應鏈效率、透明度和韌性的數位化系統，其應用涵蓋從農場生產到加工、倉儲、運輸和配送的各個環節。這些平台利用物聯網感測器、人工智慧、預測分析和區塊鏈等先進工具，監測作物生長狀況，提高物流效率，減少收穫後損失，並更好地協調供需。透過提供端到端的可視性，這些平台賦能農民、合作社、相關企業和零售商，使其能夠更快地做出數據驅動的決策，同時降低成本、最大限度地減少風險、確保產品品質並提升整個供應鏈的績效。

電子商務訂閱服務需求不斷成長

消費者越來越傾向於透過訂閱模式訂購生鮮食品、乳製品和包裝食品，這催生了對高效供應鏈平台的需求。零售商和農業科技公司正在投資數位化解決方案，以簡化採購、庫存管理和配送流程。提供即時可見性和預測分析的平台提高了訂閱配送的可靠性。對可追溯性和透明度的日益成長的需求正在推動供應鏈最佳化工具的普及。政府和行業協會正致力於建立數位農業生態系統，以支持電子商務的發展。因此，訂閱服務的擴張正在推動市場成長。

高昂的包裝和生產成本

農產品供應鏈需要專門的包裝來保持新鮮度和安全性，這增加了成本。與大型企業相比，小規模生產者和合作社難以負擔這些成本。在發展中地區，規模經濟有限，使得價格負擔更難以保證。生鮮食品的包裝需要高度客製化，這增加了生產成本。來自低成本替代品的競爭壓力抑制了對高品質解決方案的投資。

個人化消費者體驗的成長

平台日益支援客製化的配送時間表、產品組合和新鮮度保證。個人化的供應鏈解決方案能夠提升消費者滿意度，並增強生鮮訂閱服務的顧客忠誠度。人工智慧和數據分析技術的進步使企業能夠預測消費者偏好並最佳化庫存。消費者對農場直供和有機農產品的需求不斷成長，這與個人化供應鏈模式不謀而合。社群媒體和數位化互動進一步推動了消費者對客製化生鮮配送的興趣。

日益複雜的物流與配送問題

協調低溫運輸、最後一公里配送和多產品運輸需要複雜的物流基礎設施。中小物流業者難以應付生鮮食品配送的營運複雜性。不斷上漲的運輸成本加劇了農業供應鏈的挑戰。消費者對配送速度和產品品質的不同期望也給物流平台帶來了額外的壓力。如果沒有精簡且有效率的系統，物流風險將威脅到成本效益和可靠性。

新冠疫情的影響：

新冠疫情對農業供應鏈最佳化平台市場產生了複雜的影響。疫情封鎖期間，線上雜貨和訂閱服務的激增加速了對數位化供應鏈解決方案的需求。然而，供應鏈中斷導致包裝材料短缺，延緩了平台的普及應用。經濟的不確定性導致多個地區對先進最佳化工具的投資下降。同時，意識提升，增強了對透明供應鏈平台的需求。世界各國政府在其復甦計畫中優先發展數位化農業和糧食安全，並支持相關技術的應用。

預計在預測期內，端到端供應鏈最佳化平台細分市場將佔據最大的市場佔有率。

在預測期內，端到端供應鏈最佳化平台預計將佔據最大的市場佔有率，這主要得益於市場對採購、倉儲和分銷環節整合可視化功能的需求。提供即時分析、預測性需求規劃和低溫運輸監控的平台正日益受到農產品企業的青睞。電子商務訂閱需求的成長也推動了綜合最佳化解決方案的普及。該領域受益於機構的大力投資和政府支持的數位農業舉措。人工智慧和物聯網的融合將進一步提昇平台的效率和擴充性。大型零售商和合作社傾向於採用端到端解決方案來簡化其多品類供應鏈。

預計食品飲料製造商產業在預測期內將呈現最高的複合年成長率。

預計食品飲料製造商產業在預測期內將實現最高成長率，反映出市場對生產和分銷環節供應鏈最佳化的強勁需求。製造商正在加速採用平台技術，以提高效率、減少廢棄物並確保產品新鮮度。消費者對個人化體驗的需求不斷成長，也加速了該產業平台技術的普及。自動化和預測分析技術的進步增強了食品飲料公司的競爭力。包裝食品、乳製品和飲料品類的強勁成長也使該產業受益匪淺。政府為促進食品安全和可追溯性而採取的措施進一步推動了平台技術的普及。

佔比最大的地區：

由於電子商務滲透率高且物流基礎設施先進，預計北美在預測期內將保持最大的市場佔有率。美國和加拿大的成長主要得益於農業食品產業對數位化供應鏈平台的廣泛應用。政府為促進食品安全和可追溯性而製定的政策也推動了這一趨勢。大型農業科技公司和物流供應商的存在進一步鞏固了該地區的主導地位。對訂閱式雜貨和餐飲服務的強勁需求正在推動成長。完善的低溫運輸和包裝網路也進一步擴大了平台的使用範圍。

預計年複合成長率最高的地區：

預計亞太地區在預測期內將實現最高的複合年成長率，這主要得益於快速的都市化和蓬勃發展的生鮮電商需求。中國、印度和日本等國正大力投資農業供應鏈最佳化平台。不斷壯大的中產階級和日益成長的可支配收入推動了高級產品的普及。政府為促進數位農業和永續食品體係而採取的措施進一步加速了這一趨勢。本土Start-Ups和跨國公司都在投資擴充性的供應鏈解決方案。移動優先的電商生態系統的發展正在推動區域擴張。

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目錄

第1章執行摘要

第2章 前言

  • 摘要
  • 相關利益者
  • 調查範圍
  • 調查方法
  • 研究材料

第3章 市場趨勢分析

  • 促進要素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 終端用戶分析
  • 新興市場
  • 新冠疫情的感染疾病

第4章 波特五力分析

  • 供應商的議價能力
  • 買方的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球農業供應鏈最佳化平台市場（依平台類型分類）

  • 端對端供應鏈最佳化平台
  • 特定產品的平台
  • 基於行動應用的平台
  • 綜合金融保險平台
  • 市場/交易平台
  • 分析和預測平台
  • 其他平台類型

6. 全球農業供應鏈最佳化平台市場（依部署類型分類）

  • 雲端基礎的平台
  • 本地部署解決方案

7. 全球農業供應鏈最佳化平台市場（按應用領域分類）

  • 穀物和穀類
  • 水果和蔬菜
  • 乳製品和畜產品
  • 咖啡、可可和特色作物
  • 園藝和花卉栽培
  • 種子和投入材料
  • 其他用途

8. 全球農業供應鏈最佳化平台市場（依最終用戶分類）

  • 農產品貿易業者/出口商
  • 食品和飲料製造商
  • 零售連鎖店與電子商務平台
  • 政府機構和非政府組織（NGO）
  • 農業貸款機構及保險公司
  • 其他最終用戶

9. 全球農業供應鏈最佳化平台市場（按地區分類）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 亞太其他地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第10章：重大進展

  • 協議、夥伴關係、合作和合資企業
  • 併購
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第11章 企業概況

  • IBM Food Trust
  • SAP SE
  • Oracle Corporation
  • Microsoft Azure FarmBeats
  • Infosys Limited
  • Wipro Limited
  • Accenture
  • Bunge Limited
  • Cargill Incorporated
  • Archer Daniels Midland Company（ADM）
  • Louis Dreyfus Company
  • Olam International
  • AgriDigital
  • CropIn Technology Solutions Pvt. Ltd.
  • Ninjacart
Product Code: SMRC32722

According to Stratistics MRC, the Global Agri Supply Chain Optimization Platforms Market is accounted for $15.07 billion in 2025 and is expected to reach $32.7 billion by 2032 growing at a CAGR of 11.7% during the forecast period. Agri Supply Chain Optimization Platforms are digital systems designed to enhance the efficiency, transparency, and resilience of agricultural supply chains by integrating data, automation, and real-time analytics across all stages-from farm production to processing, storage, transportation, and distribution. These platforms use advanced tools such as IoT sensors, AI, predictive forecasting, and blockchain to monitor crop conditions, streamline logistics, reduce post-harvest losses, and improve demand-supply alignment. By offering end-to-end visibility, they help farmers, cooperatives, agribusinesses, and retailers make faster, data-driven decisions while lowering costs, minimizing risks, ensuring product quality, and strengthening overall supply chain performance.

Market Dynamics:

Driver:

Rising e-commerce subscription service demand

Consumers increasingly prefer fresh produce, dairy, and packaged foods delivered through subscription models, requiring efficient supply chain platforms. Retailers and agri-tech firms are investing in digital solutions to streamline procurement, inventory, and distribution. Platforms offering real-time visibility and predictive analytics strengthen reliability in subscription-based deliveries. Rising demand for traceability and transparency reinforces adoption of supply chain optimization tools. Governments and industry bodies are promoting digital agriculture ecosystems to support e-commerce growth. As a result, subscription service expansion is propelling market growth.

Restraint:

High packaging material and production costs

Agri supply chains require specialized packaging to maintain freshness and safety, which increases expenses. Smaller producers and cooperatives struggle to absorb these costs compared to large-scale firms. Limited economies of scale further exacerbate affordability challenges in developing regions. High customization requirements for perishable goods packaging add to production costs. Competitive pressure from low-cost alternatives discourages investment in premium solutions.

Opportunity:

Growth in personalized consumer experiences

Platforms are increasingly enabling tailored delivery schedules, product assortments, and freshness guarantees. Personalized supply chain solutions enhance consumer satisfaction and strengthen loyalty in agri-food subscriptions. Advances in AI and data analytics allow firms to predict consumer preferences and optimize inventory. Rising demand for farm-to-table and organic produce aligns directly with personalized supply chain models. Social media and digital engagement amplify consumer interest in customized agri deliveries.

Threat:

Complex logistics and delivery challenges

Coordinating cold chain, last-mile delivery, and multi-product shipments requires advanced infrastructure. Smaller logistics providers struggle with the operational complexity of perishable goods distribution. Rising transportation costs further exacerbate challenges in agri supply chains. Inconsistent consumer expectations for delivery speed and product quality add pressure on platforms. Without streamlined systems, logistics risks undermining cost efficiency and reliability.

Covid-19 Impact:

The COVID-19 pandemic had a mixed impact on the Agri Supply Chain Optimization Platforms market. Surge in online grocery and subscription services during lockdowns accelerated demand for digital supply chain solutions. However, supply chain disruptions affected availability of packaging materials and delayed platform deployments. Economic uncertainty reduced investment in premium optimization tools in several regions. Rising consumer awareness of food safety and traceability reinforced demand for transparent supply chain platforms. Governments emphasized digital agriculture and food security in recovery programs, supporting adoption.

The end-to-end supply chain optimization platforms segment is expected to be the largest during the forecast period

The end-to-end supply chain optimization platforms segment is expected to account for the largest market share during the forecast period, driven by demand for integrated visibility across procurement, storage, and distribution. Platforms offering real-time analytics, predictive demand planning, and cold chain monitoring are increasingly adopted by agri-food firms. Rising e-commerce subscription demand reinforces adoption of comprehensive optimization solutions. The segment benefits from strong institutional investment and government-backed digital agriculture initiatives. Integration of AI and IoT further enhances platform efficiency and scalability. Large retailers and cooperatives prefer end-to-end solutions to streamline multi-product supply chains.

The food & beverage manufacturers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the food & beverage manufacturers segment is predicted to witness the highest growth rate, reflecting strong demand for supply chain optimization in production and distribution. Manufacturers increasingly adopt platforms to improve efficiency, reduce waste, and ensure product freshness. Rising demand for personalized consumer experiences accelerates adoption in this segment. Advances in automation and predictive analytics strengthen competitiveness of food & beverage firms. The segment benefits from strong growth in processed food, dairy, and beverage categories. Government initiatives promoting food safety and traceability further reinforce adoption.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to strong e-commerce penetration and advanced logistics infrastructure. The United States and Canada benefit from widespread adoption of digital supply chain platforms across agri-food industries. Government mandates promoting food safety and traceability reinforce adoption. The presence of leading agri-tech firms and logistics providers strengthens regional leadership. Strong demand for subscription-based grocery and meal services accelerates growth. Established cold chain and packaging networks further expand platform usage.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR by rapid urbanization and booming e-commerce grocery demand. Countries such as China, India, and Japan are witnessing strong investment in agri supply chain optimization platforms. Expanding middle-class populations and growing disposable incomes support premium product adoption. Government initiatives promoting digital agriculture and sustainable food systems further accelerate adoption. Local startups and multinational firms are investing in scalable supply chain solutions. Growth in mobile-first e-commerce ecosystems adds momentum to regional expansion.

Key players in the market

Some of the key players in Agri Supply Chain Optimization Platforms Market include IBM Food Trust, SAP SE, Oracle Corporation, Microsoft Azure FarmBeats, Infosys Limited, Wipro Limited, Accenture, Bunge Limited, Cargill Incorporated, Archer Daniels Midland Company (ADM), Louis Dreyfus Company, Olam International, AgriDigital, CropIn Technology Solutions Pvt. Ltd. and Ninjacart.

Key Developments:

In February 2024, SAP and Corteva Agriscience announced a strategic collaboration to develop enhanced digital solutions for the agriculture industry. This partnership aims to leverage Corteva's agronomic expertise and SAP's cloud platform and business AI capabilities.

In March 2023, IBM Food Trust expanded its collaboration with The Rice Exchange (TRE) to digitize and bring greater transparency to the global rice supply chain. This partnership leverages blockchain to provide stakeholders with immutable data on origin, quality, and sustainability, aiming to reduce fraud and improve trust for a critical global food staple.

Platform Types Covered:

  • End-to-End Supply Chain Optimization Platforms
  • Commodity-Specific Platforms
  • Mobile & App-Based Platforms
  • Integrated Finance & Insurance Platforms
  • Marketplace & Trading Platforms
  • Analytics & Forecasting Platforms
  • Other Platform Types

Deployment Modes Covered:

  • Cloud-Based Platforms
  • On-Premise Solutions

Applications Covered:

  • Grains & Cereals
  • Fruits & Vegetables
  • Dairy & Livestock
  • Coffee, Cocoa & Specialty Crops
  • Horticulture & Floriculture
  • Seed & Input Commodities
  • Other Applications

End Users Covered:

  • Agri-Traders & Exporters
  • Food & Beverage Manufacturers
  • Retail Chains & E-Commerce Platforms
  • Government & NGOs
  • Agri-Financiers & Insurance Companies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2024, 2025, 2026, 2028, and 2032
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Agri Supply Chain Optimization Platforms Market, By Platform Type

  • 5.1 Introduction
  • 5.2 End-to-End Supply Chain Optimization Platforms
  • 5.3 Commodity-Specific Platforms
  • 5.4 Mobile & App-Based Platforms
  • 5.5 Integrated Finance & Insurance Platforms
  • 5.6 Marketplace & Trading Platforms
  • 5.7 Analytics & Forecasting Platforms
  • 5.8 Other Platform Types

6 Global Agri Supply Chain Optimization Platforms Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud-Based Platforms
  • 6.3 On-Premise Solutions

7 Global Agri Supply Chain Optimization Platforms Market, By Application

  • 7.1 Introduction
  • 7.2 Grains & Cereals
  • 7.3 Fruits & Vegetables
  • 7.4 Dairy & Livestock
  • 7.5 Coffee, Cocoa & Specialty Crops
  • 7.6 Horticulture & Floriculture
  • 7.7 Seed & Input Commodities
  • 7.8 Other Applications

8 Global Agri Supply Chain Optimization Platforms Market, By End User

  • 8.1 Introduction
  • 8.2 Agri-Traders & Exporters
  • 8.3 Food & Beverage Manufacturers
  • 8.4 Retail Chains & E-Commerce Platforms
  • 8.5 Government & NGOs
  • 8.6 Agri-Financiers & Insurance Companies
  • 8.7 Other End Users

9 Global Agri Supply Chain Optimization Platforms Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 IBM Food Trust
  • 11.2 SAP SE
  • 11.3 Oracle Corporation
  • 11.4 Microsoft Azure FarmBeats
  • 11.5 Infosys Limited
  • 11.6 Wipro Limited
  • 11.7 Accenture
  • 11.8 Bunge Limited
  • 11.9 Cargill Incorporated
  • 11.10 Archer Daniels Midland Company (ADM)
  • 11.11 Louis Dreyfus Company
  • 11.12 Olam International
  • 11.13 AgriDigital
  • 11.14 CropIn Technology Solutions Pvt. Ltd.
  • 11.15 Ninjacart

List of Tables

  • Table 1 Global Agri Supply Chain Optimization Platforms Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Agri Supply Chain Optimization Platforms Market Outlook, By Platform Type (2024-2032) ($MN)
  • Table 3 Global Agri Supply Chain Optimization Platforms Market Outlook, By End-to-End Supply Chain Optimization Platforms (2024-2032) ($MN)
  • Table 4 Global Agri Supply Chain Optimization Platforms Market Outlook, By Commodity-Specific Platforms (2024-2032) ($MN)
  • Table 5 Global Agri Supply Chain Optimization Platforms Market Outlook, By Mobile & App-Based Platforms (2024-2032) ($MN)
  • Table 6 Global Agri Supply Chain Optimization Platforms Market Outlook, By Integrated Finance & Insurance Platforms (2024-2032) ($MN)
  • Table 7 Global Agri Supply Chain Optimization Platforms Market Outlook, By Marketplace & Trading Platforms (2024-2032) ($MN)
  • Table 8 Global Agri Supply Chain Optimization Platforms Market Outlook, By Analytics & Forecasting Platforms (2024-2032) ($MN)
  • Table 9 Global Agri Supply Chain Optimization Platforms Market Outlook, By Other Platform Types (2024-2032) ($MN)
  • Table 10 Global Agri Supply Chain Optimization Platforms Market Outlook, By Deployment Mode (2024-2032) ($MN)
  • Table 11 Global Agri Supply Chain Optimization Platforms Market Outlook, By Cloud-Based Platforms (2024-2032) ($MN)
  • Table 12 Global Agri Supply Chain Optimization Platforms Market Outlook, By On-Premise Solutions (2024-2032) ($MN)
  • Table 13 Global Agri Supply Chain Optimization Platforms Market Outlook, By Application (2024-2032) ($MN)
  • Table 14 Global Agri Supply Chain Optimization Platforms Market Outlook, By Grains & Cereals (2024-2032) ($MN)
  • Table 15 Global Agri Supply Chain Optimization Platforms Market Outlook, By Fruits & Vegetables (2024-2032) ($MN)
  • Table 16 Global Agri Supply Chain Optimization Platforms Market Outlook, By Dairy & Livestock (2024-2032) ($MN)
  • Table 17 Global Agri Supply Chain Optimization Platforms Market Outlook, By Coffee, Cocoa & Specialty Crops (2024-2032) ($MN)
  • Table 18 Global Agri Supply Chain Optimization Platforms Market Outlook, By Horticulture & Floriculture (2024-2032) ($MN)
  • Table 19 Global Agri Supply Chain Optimization Platforms Market Outlook, By Seed & Input Commodities (2024-2032) ($MN)
  • Table 20 Global Agri Supply Chain Optimization Platforms Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 21 Global Agri Supply Chain Optimization Platforms Market Outlook, By End User (2024-2032) ($MN)
  • Table 22 Global Agri Supply Chain Optimization Platforms Market Outlook, By Agri-Traders & Exporters (2024-2032) ($MN)
  • Table 23 Global Agri Supply Chain Optimization Platforms Market Outlook, By Food & Beverage Manufacturers (2024-2032) ($MN)
  • Table 24 Global Agri Supply Chain Optimization Platforms Market Outlook, By Retail Chains & E-Commerce Platforms (2024-2032) ($MN)
  • Table 25 Global Agri Supply Chain Optimization Platforms Market Outlook, By Government & NGOs (2024-2032) ($MN)
  • Table 26 Global Agri Supply Chain Optimization Platforms Market Outlook, By Agri-Financiers & Insurance Companies (2024-2032) ($MN)
  • Table 27 Global Agri Supply Chain Optimization Platforms Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.