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市場調查報告書
商品編碼
1053881
移動機器人在物流、倉儲和配送中的應用 2022-2042年Mobile Robotics in Logistics, Warehousing and Delivery 2022-2042 |
標題:
移動機器人在物流、倉儲和配送中的應用 2022-2042年
AGV、基於網格的 AGC、AMR、移動式揀貨機器人、移動機械手、重型自動駕駛 4 級卡車、自動最後一英里送貨車、機器人和無人機、技術、市場和預測。
"到 2042 年,物流中所有移動機器人的市場收入將超過 3000 億美元。"
移動機器人可以很好地解決物流行業的許多問題。本報告全面分析了主要參與者、技術和市場,20 年市場預測,以及 14 種不同形式的物流移動機器人的豐富產品示例。它將幫助讀者更深入地瞭解當前的市場格局、技術的使用方式、技術趨勢以及未來的市場前景。
倉儲和物流鏈中的自動化是一個不斷增長的市場。其中一個特別令人興奮的子集是使用移動機器人、自動駕駛汽車和無人機來實現基於運動的任務的自動化。該領域包括物流中使用的各種移動機器人設備,例如機器人手推車/車輛、道路自動卡車和無人機,它們可以幫助貨物從起點到目的地。本報告發現,物流、配送和倉儲領域的移動機器人(包括卡車和無人機)市場在 2032 年和 2042 年可能分別達到驚人的 83 和 3340 億美元。
本報告對主要參與者、技術和市場進行了全面分析。涵蓋了相對成熟和新興的物流移動機器人產品,包括不同形態的自動導引車(AGV)、自主移動機器人(AMR)、基於網格的自動導引小車(grid-based cart)、揀箱機器人、移動機械手、重型- 4 級自動駕駛卡車、最後一英里自動送貨車、機器人和無人機。
本報告提供了上述所有技術的技術路線圖和 20 年市場收入預測(14 條預測線)。由於 IDTechEx 的技術路線圖表明這些變化將在很長一段時間內發生,因此這些預測被構建為一個 20 年的模型。 IDTechEx 的詳細預測清楚地解釋了市場增長的不同階段,並概述了支持該模型的關鍵假設/條件以及數據點。
此外,該報告還詳細分析了移動機器人中使用的關鍵技術(例如導航)、常用傳感器和技術趨勢預測。此外,它還包括自動駕駛相關產品(例如,自動駕駛卡車、自動送貨車等)的最新監管變化,並預測放鬆監管的關鍵時間點和趨勢。我們的技術評估和監管預測直接反饋到我們的市場預測模型中,控制採用時間尺度和估計的技術市場份額演變。
IDTechEx 進一步提供投資/趨勢分析,始終尋求將每項技術置於其更大的定量和定性環境中。還包括公司採訪/簡介/更新。公司簡介和訪談提供了有關公司定位、戰略、機遇和挑戰的寶貴見解,其中超過 25 種也可以在我們的訂閱門戶上找到更多詳細信息,因為 IDTechEx 已經對這些公司進行了採訪或進行了深入研究。
長期以來,自動導引車和車輛(AGC 和 AGV)一直在使用。它們依賴於基礎設施,安裝非常耗時,而且它們的工作流程難以適應。因此,作為一項技術,它們處於相對不穩定的基礎上,因為該技術正在朝著更加自主和獨立於基礎設施的導航方向發展。但它們在長距離運輸重物方面更可靠。因此,我們預測他們的市場將在接下來的幾年中保持健康增長,但在 2032-2037 年間開始下降(取決於產品形式)。它們將越來越局限於越來越狹窄的市場。
自動化機器人的一個非常亮點是用於履行中心和大型倉庫的貨到人基於網格的自動推車(基於網格的 AGC)。在倉庫內創建了特殊的機器人專用區域,這些機器人車隊在這些區域內將貨架高速移動到人工揀選站,從而顯著提高生產力。到 2030 年,這將是一個快速增長的市場空間。
導航技術正在從自動化過渡到自主,這得益於更好的 SLAM 算法。自主移動機器人 (AMR) 無需對基礎設施建設或改變環境提出額外要求,可以節省更多成本和時間,更易於擴展車隊並靈活採用。我們估計,到 2042 年,此類市場將持續增長。近年來,該技術的投資和收購也更為突出。
揀貨技術是物流自動化的重要組成部分。如今,許多公司專注於多層拾箱機器人,這些機器人使用伸縮叉或真空夾具拾取和處理多個規則形狀的盒子或手提袋,以實現 "紙箱到人" 的工作模式。該模式與基於網格的 AGC 的 "貨架到人" 模式之間的異同在報告中進行了深入討論。也有少數公司在移動平台上集成了機械手,用於揀選形狀不規則的複雜物品,但揀選性能仍然非常有限。我們預測,揀選機器人將長期主導市場,2035年後移動機械手的市場增長速度只會加快。
當今貨運行業,尤其是長途貨運的主要痛點包括高昂的運營成本、駕駛員管理和安全性。實施高級自動駕駛重型卡車可以很好地解決這些痛點,並有可能提高駕駛過程中的安全性。根據已知的近期監管變化和有關 4 級自動駕駛卡車預訂的信息,IDTechEx 預計市場收入將在 2025 年開始大量產生。
自動最後一英里交付也是一個新興市場。產品主要分為三種形式——自動送貨車、人行道機器人和自動送貨無人機。最後一英里遞送是遞送包裹中最昂貴的部分。然而, Autonomo us last mile 配送解決方案可以以更生態的方式極大地節省成本並提高配送效率。據估計,實施自主的最後一英里交付解決方案在短期內可能會節省 55% 的當前成本,在未來長期可能會節省 80% 以上。
自動送貨車和人行道機器人都是基於地面的送貨解決方案。它們中的大多數是電動的,並且在有限的已知鄰域內以相對較慢的速度行駛,這減輕了遠距離感知和實時構建地圖的技術負擔。與人行道機器人相比,廂式貨車的空間更大,續航時間更長,能夠運送更多更重的物品到多個地點;而人行道機器人可以更容易地形成更大的車隊規模並同時交付給不同的客戶,因為機器人具有較低的單位成本。然而,無人機交付作為一種更快的自主交付選擇,現在在技術、法規和基礎設施支持方面面臨更多障礙。根據我們的分析和預測,2042年,無人配送車將成為最後一公里配送的主流產品,佔地面解決方案的75%以上;另一方面,無人機配送的市場較小,市場起飛點較晚。
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Title:
Mobile Robotics in Logistics, Warehousing and Delivery 2022-2042
AGVs, grid-based AGCs, AMRs, mobile case-picking robots, mobile manipulators, heavy-duty autonomous level-4 trucks, autonomous last mile delivery vans, robots and drones, technologies, markets, and forecasts.
"The market revenue of all mobile robotics in logistics will reach over $300 billion by 2042."
Mobile robots can be an excellent solution to many issues in the logistics industry. This report provides a comprehensive analysis of major players, technologies, and markets, 20-year market forecasts, and abundant product examples of 14 different forms of mobile robots in logistics. It will help readers have a deeper understanding of the current market landscape, how the technologies are used, the technology trend, and the future market outlook.
Automation in the warehousing and logistics chain is a growing market. A particularly exciting subset of this is the use of mobile robots, autonomous vehicles, and drones for automation of movement-based tasks. This field encompasses all manner of mobile robotic devices used in logistics, such as robotic carts/vehicles, on-road autonomous trucks, and drones, which help goods in their journey from origin to destination. This report finds that the market for mobile robots (including trucks and drones) in logistics, delivery and warehousing is likely to reach a staggering $83 and $334 Billion in 2032 and 2042, respectively.
This report provides a comprehensive analysis of major players, technologies, and markets. It covers relatively mature and emerging logistics mobile robotic products including different forms of automated guided vehicles (AGVs), autonomous mobile robots (AMRs), grid-based automated guided carts (grid-based carts), case-picking robots, mobile manipulators, heavy-duty level-4 autonomous trucks, last mile autonomous delivery vans, robots and drones.
This report provides technology roadmaps and twenty-year market forecasts in market revenue, for all the technologies outlined above (14 forecast lines). The forecasts are built as a twenty-year model because IDTechEx's technology roadmap suggests that these changes will take place over long timescales. In IDTechEx's detailed forecasts the different stages of market growth are clearly explained, and the key assumptions/conditions as well as data points that underpin the model are outlined.
Furthermore, the report has detailed analysis about key technologies used in mobile robotics (e.g., navigation), typically used sensors and predictions of technological trend. In addition, it includes the most recent regulatory changes on autonomous driving related products (e.g., autonomous trucks, autonomous delivery vans, etc.) and anticipates the key timepoints and trends for deregulations. Our technology assessments and regulation predictions feed directly into our market forecast model, governing the adoption timescales and the estimated technology market share evolutions.
IDTechEx further provides investment/trend analysis, always seeking to put each technology within its greater quantitative as well as qualitative context. Also included are company interviews/profiles/updates. Company profiles and interviews provide valuable insight on company positioning, strategy, opportunities, and challenges, more than 25 of which can also be found on our subscription portal for more details, as IDTechEx has either interviewed or carried out deep research with these companies.
For a long time, automated guide carts and vehicles (AGC and AGV) have been in use. They are infrastructure dependent, their installation is time-consuming, and their workflow is difficult to adapt. Consequently, as a technology, they are on relatively shaky ground, because the technology is evolving towards more autonomous and infrastructure-independent navigation. But they are more reliable in terms of transporting heavy loads for a long distance. Therefore, we forecast their market will have a healthy growth in the following years but start to decrease between 2032-2037 (depending on product forms). They will increasingly become confined to ever narrower market niches.
One very bright spot for automated robots is in goods-to-person grid-based automated carts (grid-based AGCs) for fulfilment centres and large warehouses. Special robot-only zones are created within warehouses in which these robot fleets move racks at high speeds to a manned picking station, leading to clear and proven productivity gains. This will be a fast-growing market space by 2030.
The navigation technology is transitioning from automated to autonomous, enabled by better SLAM algorithms. With no additional requirements on building infrastructure or changing the environment, autonomous mobile robots (AMRs) can save more cost and time, being easier to scale the fleet and to be adopted flexibly. We assess that the market for such will continuously grow by 2042. There have also been more prominent investments and acquisitions on this technology in recent years.
Picking technology is an essential component of logistics automation. Today, many companies focus on multi-layer case picking robots that pick and handle multiple regularly shaped boxes or totes with their telescopic forks or vacuum grippers for "carton-to-person" working mode. The similarities and differences between this mode and "shelf-to-person" one of grid-based AGCs have been thoroughly discussed in the report. There are also a few companies having integrated robotic manipulators on mobile platforms for picking irregularly shaped complex items, but the picking performance is very limited yet. We forecast case-picking robots will dominate the market for a long time and the market growth speed for mobile manipulators will only accelerate after 2035.
The major pain points nowadays in the trucking industry, and especially long-haul trucking, include high operation cost, driver management and safety. Implementing high-level autonomous heavy-duty trucks can well address those pain points, and potentially can improve the safety during driving. According to known recent regulatory changes and information about level-4 autonomous truck pre-orders, IDTechEx anticipate the market revenue will start to be largely generated in 2025.
Autonomous last mile delivery is also an emerging market. There are mainly three forms of products - autonomous delivery vans, sidewalk robots and autonomous delivery drones. Last mile delivery is the most expensive part of delivering a parcel. Autonomous last mile delivery solutions, however, can hugely save the cost and improve the delivery efficiency in a more ecological way. It is estimated that implementing autonomous last mile delivery solutions can potentially save 55% of current costs in the short-term, and may save over 80% in the long-term future.
Autonomous delivery vans and sidewalk robots are both ground-based delivery solutions. Most of them are electrically powered and drive at a relatively slow speed in limited known neighbourhood areas, which ease the technological burden of perceiving in a long range and constructing maps in real time. Compared to sidewalk robots, the vans have large room and longer battery life, able to deliver to multiple locations with more and heavier items; while sidewalk robots can be more easily formed to a larger fleet size and deliver to various customers simultaneously because the robot has a lower unit cost. Drone delivery, as a faster autonomous delivery option, now however faces more obstacles on technologies, regulations and infrastructure support. Based on our analysis and forecast, the autonomous delivery vans will be the mainstream product in last mile delivery, accounting for over 75% of ground-based solutions in 2042; on the other hand, drone delivery will have a smaller market and a later market take-off point.
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