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Jan, 23 2020

電子商務和線上零售貿易的成長推動了物流機器人市場的發展

預計到 2026 年，物流機器人市場價值將達到 3821278 萬美元，但安裝成本增加和研發所需的高額投資等因素將限制新興經濟體市場的成長。

物流機器人市場在亞太發展中經濟體展現出卓越的滲透力。勞動力需求的增加和電子商務行業的成長將推動提高效率的需求。

物流機器人市場

物流機器人市場前景

根據 Data Bridge Market Research 的調查，物流機器人市場正在經歷成長，原因包括採用自動化解決方案減少了人類的任務，電子商務和線上貿易的成長導致了對快速交付的需求，用於運載重型紙箱和重型有效載荷，國防和軍事垂直領域不斷增長的需求將在 2019-2026 年預測中增強市場的成長。

現在的問題是，物流機器人市場還瞄準哪些地區？ Data Bridge Market Research 預測北美和歐洲物流機器人市場將大幅成長，市場領導者瞄準美國、英國和法國，將其作為 2020 年的下一個收入來源。 Data Bridge 市場研究新報告重點介紹了物流機器人市場的主要成長因素和機會。

有關物流機器人市場的更多分析，請與我們的分析師進行簡報https://www.databridgemarketresearch.com/speak-to-analyst?dbmr=global-logistics-robots-market

物流機器人市場新發展

  • 2019 年 12 月，ABB 宣布將 ABB 機器人納入其自動化產品組合，這將提供靈活性並幫助機器製造商實現機器自動化。該產品的推出將為客戶提供一站式解決方案。

  • 2018 年 12 月，Gideon Brothers 宣布推出自主物流機器人，該機器人將協助安全地移動設備和移動機器，負載高達 800 公斤。物流機器人比光達更可靠，因為它們具有機器人視覺和立體攝影機的先進功能。

物流機器人市場範圍

物流機器人市場按國家細分為北美洲的美國、加拿大、墨西哥、南美洲的巴西、阿根廷、南美洲其他地區、德國、法國、英國、義大利、西班牙、荷蘭、比利時、俄羅斯、土耳其、瑞士、歐洲其他地區、中國、日本、印度、澳洲、新加坡、泰國、馬來西亞、韓國、印尼、菲律賓、亞太地區 (APAC) 其他地區、美國地區、埃及、美國地區、歐洲地區和其他地區。

  • 所有基於國家的物流機器人市場分析都基於最大粒度進行了進一步細分。根據組件，市場分為硬體、軟體和服務。根據營運環境，市場細分為工廠物流機器人、倉庫物流機器人、戶外物流機器人和其他物流機器人。根據產品類型，市場細分為機械手臂、無人地面車輛（UGVS）、無人機（UAVS）和其他。報告涵蓋的應用包括堆疊和拆垛、拾取和放置、裝卸、包裝和共同包裝、裝運和交付等。

  • 物流機器人是一種自動化機器，用於倉庫和倉儲設施中貨物的儲存和移動過程，以組織貨物。它們將成為傳統傳送帶運輸系統的替代品。物流機器人降低了高昂的勞動成本，並提高了與手工勞動相比的效率，從而提高了性能和獲利能力。

要了解有關該研究的更多信息，請訪問 https://www.databridgemarketresearch.com/reports/global-logistics-robots-market

物流機器人市場產業趨勢及2026年預測的關鍵要點

  • 市場規模

  • 市場新銷售量

  • 市場替代銷售量

  • 市場安裝基礎

  • 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

  • 德馬泰克

  • 庫卡股份公司

  • 亞馬遜機器人有限責任公司

  • 范德蘭德工業公司

  • Vecna機器人公司

  • 格林策巴赫集團

  • 日立製作所有限公司

  • 高科技機器人系統

  • 巴斯蒂安解決方案公司

  • 歐姆龍公司

  • Fetch Robotics公司

  • GreyOrange 私人有限公司

  • 大福株式會社

  • 克納普股份公司

  • IAM機器人

  • Clearpath 機器人公司

  • 凱傲集團

  • 移動工業機器人有限公司

  • ABB

  • 發那科公司

  • 川崎重工業株式會社

  • 安川美國公司

  • 東芝公司

  • 亞瑟機器人公司

以上是報告中涵蓋的關鍵參與者，要了解更多和詳盡的物流機器人公司列表，請聯繫我們https://www.databridgemarketresearch.com/toc?dbmr=global-logistics-robots-market

研究方法：全球物流機器人市場

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預測市場數據。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

瀏覽半導體和電子類別相關報告@ https://www.databridgemarketresearch.com/report-category/semiconductors-and-electronics/

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