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市場調查報告書
商品編碼
1713735
全球 DaaS(無人機即服務)市場:按應用、主要產業、地區和國家預測(2025-2030 年)Drones as a Service Market by Applications and Leading Industries with Global, Regional and Country Forecasts 2025 - 2030 |
雲端運算的基本原理是運算資源的分散化。這個想法是,處理資料和運行應用程式所需的實體基礎設施不再需要位於客戶的場所。
此外,這些運算資源的地理位置對使用者來說並不重要。例如,想像一下運算能力就像 "在空中" 一樣被提供,可以在需要的時間和地點像電力一樣被使用。這些概念象徵著雲端的按需和位置無關的特性。
這種典範轉移帶來了巨大的好處。首先,電腦資源利用效率大幅提高。以前,每家公司都有自己未使用的伺服器和基礎設施,但透過聚合多個客戶的需求,雲端供應商能夠有效地利用這些伺服器和基礎設施。
因此,投資硬體和軟體的公司可以實現資本支出最佳化。另一方面,對於使用雲端服務的公司來說,他們將能夠將成本作為營運支出 (OPEX) 進行管理,只為所需的服務付費,從而顯著提高靈活性和經濟性。
雲端的這種演進催生了 "即服務" 交付模式。在這種模式下,處理能力、儲存和特定應用的軟體都作為服務透過網路提供。該系統允許公司靈活、可擴展地部署和擴展運算資源,而無需初始投資或管理 IT 基礎設施的負擔。
"即服務" 這個革命性概念目前正在對機器人領域產生重大影響。人們不再需要購買和維護實體機器人,而是出現了一種新的自動化即服務形式,即以服務的形式提供必要的機器人功能,從而加速了機器人技術的普及。現在,即使是那些因為成本和技術問題而難以採用機器人的公司,也開始使用機器人了。
特別是機器人、遠端控制和雲端技術的整合正在大幅改變企業業務流程。這種整合正在使一種稱為按需機器人的新商業模式成為現實。例如,現在可以透過基於雲端的平台在製造現場使用機械手臂、在物流倉庫使用自主移動機器人、在需要時使用檢查機器人進行遠端監控,並且只按使用量付費。
這種創新模式並不局限於任何特定行業,而是正在迅速滲透到各個領域,幾乎涵蓋每一個用例、應用程式和解決方案。無人機領域也不例外。 MindCommerce 認為 "無人機即服務" (DaaS)作為一種外包解決方案獲得了廣泛支持,可以提高許多行業的營運效率。特別是包裹遞送已成為近期世界事件的一大亮點,預計將成為無人機服務的重要市場。
這種模式並不局限於任何特定行業,而是正在迅速擴展到所有應用和垂直領域。無人機領域也不例外。 Mind Commerce 認為無人機即服務 (DaaS) 作為外包選擇正在迅速普及,可以提高各行各業的營運效率。鑑於最近全球情勢的變化,快遞服務業尤其受到關注,並被視為無人機有望應用的主要市場之一。
本報告調查了全球 DaaS(無人機即服務)市場,並提供了無人機技術、用例和應用、市場規模趨勢和預測的摘要、各個細分市場和地區的詳細分析、市場影響因素的分析以及主要公司的概況。
This report provides analysis for the drones-as-a-service market including applications and services targeted at different use cases. The report evaluates solutions for leading industry verticals such as agricultural technology.
Solution areas evaluated include surveillance and monitoring, surveying and mapping, maintenance and inspection, filming and photography, package delivery, and scientific research. The report includes forecasts by solution and industry verticals from 2025 through 2030.
The fundamental principle underpinning cloud computing is the decentralization of computational resources. It posits that the physical infrastructure required for processing data and running applications no longer necessitates a local presence within a customer's own facilities.
Furthermore, the precise geographical location of these computing resources becomes largely immaterial to the end-user. Imagine, if you will, computational power existing almost ubiquitously, like a utility that can be tapped into whenever and wherever the need arises. This abstract notion of computing residing "in the ether" highlights the on-demand and location-independent nature of the cloud.
This shift in paradigm has yielded significant advantages. Firstly, it has dramatically improved the utilization of computing assets. Instead of individual organizations maintaining underutilized servers and infrastructure, cloud providers can aggregate demand from numerous customers, leading to far greater efficiency.
Consequently, for those investing in the underlying hardware and software, this translates to a substantial optimization of capital expenditures. Simultaneously, for businesses consuming these computing services, the model shifts to scalable operational expenses, meaning they only pay for the resources they consume, offering unparalleled flexibility and cost-effectiveness.
The evolution of cloud computing has fostered the "as a service" delivery model. This framework provides computational capabilities - be it processing power, storage, or specialized software - as a service that can be accessed over a network, typically the internet. This "as a service" approach has proven to be an exceptionally adaptable and scalable method for organizations to introduce and expand their computational capabilities without the upfront investment and management overhead associated with traditional IT infrastructure.
This transformative "as a service" paradigm is now profoundly impacting the field of robotics. It is paving the way for "automation as a service", where robotic capabilities are offered as a readily available service rather than requiring the outright purchase and maintenance of physical robots. This shift unlocks new possibilities for businesses that may have previously found robotics cost-prohibitive or lacked the in-house expertise to deploy and manage them effectively.
In particular, the synergistic combination of robotics, teleoperation, and cloud technologies is revolutionizing enterprise operations. This convergence is making the concept of "robotics on demand" a viable and increasingly attractive business model. Imagine being able to access and control robotic arms for manufacturing tasks, mobile robots for warehouse logistics, or inspection robots for remote monitoring, all through a cloud-based platform and paying only for the time and resources utilized.
This innovative model is not confined to specific industries; it is rapidly permeating virtually every use case, application, and solution across a wide spectrum of sectors. The realm of drones is no exception. Mind Commerce sees "Drones-as-a-Service" (DaaS) gaining significant traction as an outsourced solution for enhancing operational efficiency in numerous industries. A prime example, particularly highlighted by recent global events, is package delivery, which is anticipated to be a key market for drone-based services.
This trend is not a fleeting phenomenon. Certain leading industries, such as AgriTech, are poised to become major investment areas for Unmanned Aerial Vehicles (UAVs), commonly known as drones. The integration of the Internet of Things (IoT) in agriculture will increasingly involve a sophisticated interplay of robots, drones, remote sensors, and computer imaging.
These technologies, coupled with continuously advancing machine learning and analytical tools, will enable comprehensive monitoring of crops, precise surveying and mapping of fields, and the provision of actionable insights to farmers. Drones equipped with specialized sensors and cameras are already being deployed for detailed imaging, accurate mapping, and thorough surveying of smart farms.
The practice of mapping farms using aerial drones and terrestrial robots is rapidly becoming a fundamental requirement - "table stakes" for connected agriculture. Agribusiness operations are also leveraging UAVs to acquire real-time data pertaining to a multitude of aspects within their farming operations.
This will involve a synthesis of perspectives and images captured from both aerial platforms (drones) and ground-based robots, utilizing multi-spectral cameras and various sensors installed on these agricultural robotic systems. This rich data will empower more informed decision-making and drive greater efficiency and sustainability in agricultural practices.