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Nov, 14 2022

全球農業和食品供應鏈區塊鏈市場在預期期內以 32.0% 的速度呈指數級增長

預計全球農業和食品供應鏈區塊鏈市場在 2021 年至 2028 年的預測期內將以年增長率 32.0% 增長，並由於農業領域的擴張而估計達到 276.5 萬美元的價值。

另一方面，法規普遍存在的不確定性和缺乏共同的標準預計將阻礙上述預測期內的市場成長。預計，尤其是在欠發達國家，技術基礎水準較低將對農業和食品供應鏈市場的區塊鏈構成挑戰。

區塊鏈在農業和食品供應鏈中的市場 場景

根據 Data Bridge Market Research 的調查，由於客戶信任度和忠誠度的提高、支付更加公平、食品批次召回更加便捷和便宜，以及用於減少食品生產欺詐，農業和食品供應鏈市場中的區塊鏈市場正在不斷升級  。此外，快速的工業化和商業化對農業和食品供應鏈市場的區塊鏈產生了積極影響。

此外，技術的進步為市場參與者帶來了獲利機會。

現在的問題是，農業和食品供應鏈市場中的區塊鏈還瞄準哪些地區？ Data Bridge Market Research 估計，由於政府對新興和先進技術投資的支持性政策和舉措，亞太地區預計將在 2021 年至 2028 年的預測期內實現顯著增長。

如欲了解更多有關農業和食品供應鏈市場區塊鏈的分析，請向我們的分析師進行簡報，https://www.databridgemarketresearch.com/speak-to-analyst/ ?dbmr=global -block-chain-in-agriculture-and-food-supply-chain-market

區塊鏈在農業和食品供應鏈中的市場 範圍

農業和食品供應鏈區塊鏈市場按國家細分為：北美的美國、加拿大、墨西哥、德國、瑞典、波蘭、丹麥、義大利、英國、法國、西班牙、荷蘭、比利時、瑞士、土耳其、俄羅斯、歐洲的其他地區、日本、中國、印度、韓國、新西蘭、越南、澳洲、新加坡、馬來西亞、泰國、印尼、菲律賓、亞太地區（APAC）的其他地區、南美洲（南美洲的一部分）、阿聯酋、沙烏地阿拉伯、阿曼、卡達、科威特、南非、中東和非洲（MEA）的其他地區。

  • 所有基於國家的農業和食品供應鏈市場區塊鏈分析都基於最大粒度進行進一步細分。農業和食品供應鏈區塊鏈市場根據應用類型細分為產品可追溯性、 支付和結算、智慧合約和治理以及風險和合規管理。農業和食品供應鏈中的區塊鏈市場也根據提供者細分為應用程式和解決方案提供者、中間件提供者、基礎設施和協議提供者。

  • 區塊鏈是指一種特定類型的資料庫，其中包含所有交易的信息，其中每筆交易都會產生一個哈希值。區塊鏈之所以被人們認為是有效的，是因為它分佈在許多連接在一起的電腦上，每個區塊都引用前一個區塊。

要了解有關該研究的更多信息，請點擊下面提到的鏈接：https://www.databridgemarketresearch.com/reports/global-block-chain-in-agriculture-and-food-supply-chain-market

農業和食品供應鏈市場區塊鏈 產業趨勢及 2028 年預測中涵蓋的關鍵要點

  • 市場規模

  • 市場新銷售

  • 市場替代銷售量

  • 品牌市場

  • 市場程序量

  • 市場產品價格分析

  • 市場監理框架及變化

  • 各地區市場佔有率

  • 市場競爭對手的最新動態

  • 市場即將推出的應用程式

  • 市場創新者研究

 報告中涉及的主要市場競爭對手

  • IBM 公司

  • 微軟

  • 高級研究密碼學有限公司

  • 安布羅蘇斯

  • SAP SE

  • OriginTrail

  • 項目起源有限公司

  • ripe.io。

  • 唯鏈基金會

  • Chainvine有限公司

  • 完整資料有限公司

  • AgriChain有限公司

  • 弧網

  • FCE集團，COIN22

  • modum.io 股份公司

  • EHARVESTHUB 有限公司

  • 願他活下去。

  • 真的

  • TE-FOOD 國際有限公司

以上是報告中涉及的關鍵參與者，要了解更多有關農業和食品供應鏈公司區塊鏈的詳細列表，請聯絡https://www.databridgemarketresearch.com/toc/?dbmr=global-block-chain-in-agriculture-and-food-supply-chain-market

研究方法：全球農業與食品供應鏈區塊鏈市場

資料收集和基準年分析是使用具有大樣本量的資料收集模組完成的。使用市場統計和相干模型來分析和估計市場數據。市場佔有率分析和關鍵趨勢分析也是市場報告的主要成功因素。如需了解更多信息，請要求分析師致電或提出您的詢問。

DBMR 研究團隊使用的關鍵研究方法是資料三角測量，其中涉及資料探勘、資料變數對市場的影響分析以及初步（產業專家）驗證。除此之外，資料模型還包括供應商定位網格、市場時間軸分析、市場概覽和指南、公司定位網格、公司市場份額分析、測量標準、全球與區域和供應商份額分析。要了解有關研究方法的更多信息，請向我們的行業專家進行諮詢。

相關報告

瀏覽食品和飲料類別相關報告@ https://www.databridgemarketresearch.com/report-category/food-beverage/

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