市場調查報告書
商品編碼
1561517
2024-2032 年按組件、部署模型、應用程式和區域分類的霧運算市場報告Fog Computing Market Report by Component, Deployment Models, Application, and Region 2024-2032 |
2023年全球霧運算IMARC Group規模達1.968億美元。各種因素,例如擴大採用物聯網 (IoT) 技術、對低延遲和即時處理的需求不斷成長、增強的資料安全性、可擴展性、改進的頻寬管理、第五代(5G)的興起以及對去中心化計算是幫助市場擴張的一些主要因素。
物聯網設備的激增
根據霧運算市場研究報告,市場的主要成長動力之一是物聯網設備滲透率的不斷擴大。這些設備產生大量資料,需要即時處理和分析,以提供及時的見解和行動。傳統的雲端運算模型通常難以處理如此龐大的資料負載,從而導致延遲問題和頻寬限制。此外,霧運算透過在網路邊緣提供雲端功能(更靠近資料生成位置)來應對這些挑戰,從而解決這些挑戰。這可以重置延遲,減少需要轉發到雲端的資料,並提高物聯網應用程式的效能。因此,霧運算解決方案擴大被大量使用物聯網設備的產業所採用。
5G 網路的成長
5G 網路部署的增加是另一個重要的成長誘導因素。 5G 技術有望提供超低延遲、高頻寬和增強的連接性,這對於霧運算的成功至關重要。其高速、低延遲等固有特性進一步促進了霧節點上資料的處理和分析,從而提供更快、更可靠的服務。這特別適用於需要即時回應的應用,例如自動駕駛汽車、擴增實境 (AR)、虛擬實境 (VR) 和工業自動化。 5G 和霧運算之間的融合預計將為市場成長創造利潤豐厚的機會。
對即時數據處理和分析的需求不斷成長
即時處理和分析資料的需求正在推動不同行業對霧運算的需求。當今世界瞬息萬變,企業和組織迫切需要從營運過程中產生的資料中獲得即時洞察並採取行動。霧運算透過提供更接近資料來源的運算和儲存資源來促進即時處理。這對於智慧電網、醫療保健監控、視訊監控和金融服務中的時間關鍵型應用特別有用。資料安全並增強隱私。
IMARC Group提供了每個細分市場的主要趨勢的分析,以及 2024-2032 年全球、區域和國家層面的預測。我們的報告根據組件、部署模型和應用程式對市場進行了分類。
軟體佔大部分市場佔有率
該報告根據組成部分提供了詳細的市場細分和分析。這包括硬體(閘道器、路由器和交換器、IP 攝影機、感測器和微型資料中心)和軟體(霧運算平台和客製化應用軟體)。根據該報告,軟體佔據了最大的部分。
對霧運算平台和客製化應用軟體等軟體元件的需求是由對更靈活、可擴展的解決方案日益成長的需求所推動的,這些解決方案可以滿足各行業的多種需求。霧運算平台帶來了一個全面的框架,可以管理跨多個邊緣設備的分散式運算資源和資料,提高系統的整體靈活性和有效性。而在客製化應用軟體解決方案中,企業能夠客製化霧運算來滿足其在獲得最佳性能以及與現有基礎設施整合方面的營運需求。除此之外,這些軟體解決方案還附帶影響力的工具,用於監控、管理和編排邊緣設備,以確保平穩高效的操作,從而增加霧運算市場的收入。
報告還提供了基於部署模型的詳細市場細分和分析。這包括私有霧節點、社區霧節點、公有霧節點和混合霧節點。
對私有霧節點的需求是由尋求增強資料安全性和控制的組織推動的,特別是在金融和醫療保健等敏感資料處理和合規性至關重要的行業。
社區霧節點針對研究機構或智慧城市等具有共同利益的特定群體,促進資源共享和資料協同處理,提高效率,降低成本。
公共霧節點專為廣泛且相對不敏感的應用而設計,公共霧節點實現了規模經濟,並且對於零售或娛樂等行業來說可以更具成本效益來處理不同的資料負載。
作為私有和公共元件的組合,混合霧節點提供靈活性和最佳化的資源利用,透過基於個人需求和給定業務的資料敏感度的平衡來實現安全性、成本和效能方面的目標。
智慧製造是領先的細分市場
該報告根據應用程式提供了詳細的市場細分和分析。這包括建築和家庭自動化、智慧能源、智慧製造、運輸和物流、連網健康以及安全和緊急情況。報告稱,智慧製造是最大的細分市場。
由於對即時監控、預測性維護和更好的自動化的需求,智慧製造對霧運算的廣泛需求正在加強市場成長。霧運算支援本地資料處理,從而將延遲降至最低,並有效地縮短決策時間。這對於預測性維護非常重要,因為它可以即時識別即將發生的設備故障,並透過延長給定機器的使用壽命來防止代價高昂的停機。此外,霧運算透過提供即時資料分析和快速響應所需的運算能力來支援先進的自動化系統,從而提供生產線和整體效率最佳化。此外,透過在本地處理敏感資料,霧運算提供了更高的資料安全性和隱私性,從而影響了霧計算行業的前景。
北美市場領先,佔據最大的霧計算市場佔有率
該報告還對所有主要區域市場進行了全面分析,其中包括北美(美國和加拿大);亞太地區(中國、日本、印度、韓國、澳洲、印尼等);歐洲(德國、法國、英國、義大利、西班牙、俄羅斯等);拉丁美洲(巴西、墨西哥等);以及中東和非洲。報告稱,北美是霧計算最大的區域市場。
霧運算產業報告顯示,北美的市場需求是由該地區先進的技術基礎設施、物聯網和智慧城市計畫的大量投資以及主要產業參與者的存在所推動的。北美,特別是美國,處於採用尖端技術的前沿,擁有廣泛的研發工作和支持創新的強大生態系統。該地區對醫療保健、汽車和工業自動化等各個領域的物聯網應用進行了大量投資,對霧運算等高效資料處理解決方案的需求不斷成長。此外,北美主要科技公司和新創公司的存在推動了霧運算技術的開發和部署,推動了該地區的廣泛採用。
(請注意,這只是關鍵參與者的部分列表,報告中提供了完整列表。)
The global fog computing market size reached US$ 196.8 Million in 2023. Looking forward, IMARC Group expects the market to reach US$ 528.8 Million by 2032, exhibiting a growth rate (CAGR) of 11.3% during 2024-2032. Various factors like increasing adoption of the Internet of Things (IoT) technology, growing demand for low latency and real-time processing, enhanced data security, scalability, improved bandwidth management, the rise of fifth-generation (5G), and the requirement for decentralized computing are some of the main factors aiding in market expansion.
Proliferation of IoT Devices
According to the fog computing market research report one of the major growth drivers in the market is the expanding penetration of IoT devices. These devices generate enormous volumes of data that need processing and analysis in real time to deliver timely insights and actions. Traditional cloud computing models often struggle to handle this massive data load, leading to latency issues and bandwidth limitations. Moreover, fog computing addresses these challenges by making cloud capabilities available at the edge of the network, closer to where data is generated, thereby resolving these challenges. This resets latency, reduces data that needs to be forwarded to the cloud, and gives IoT applications a performance boost. As a result, fog computing solutions are increasingly adopted by sectors that make intensive use of IoT devices.
Growth of 5G Networks
The increasing deployment of 5G networks is acting as another significant growth-inducing factor. 5G technology promises to deliver ultra-low latency, high bandwidth, and enhanced connectivity, which are critical for the success of fog computing. Its inherent characteristics, like high speed and lower latency, further facilitate the processing and analysis of data on fog nodes and hence faster and more reliable services. This is particularly applicable to applications that require real-time responses, such as autonomous vehicles, augmented reality (AR), virtual reality (VR), and industrial automation. The convergence between 5G and fog computing is expected to create lucrative opportunities for the market growth.
Growing Demand for Real-Time Data Processing and Analytics
The requirement to process and analyze data in real time is fueling the demand for fog computing in different industries. The contemporary world is so fast, and businesses and organizations are in dire need of instant insights and actions from the data produced through operations. Fog computing facilitates real-time processing through the provision of computation and storage resources closer to the source of data. This is particularly useful for time-critical applications in smart grids, healthcare monitoring, video surveillance, and financial services Moreover, it enhances the responsiveness and efficiency of applications, fosters data security, and enhances privacy by exposing less sensitive information to the broad internet, thereby positively impacting the fog computing market outlook.
IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional, and country levels for 2024-2032. Our report has categorized the market based on component, deployment models, and application.
Software accounts for the majority of the market share
The report has provided a detailed breakup and analysis of the market based on the component. This includes hardware (gateways, routers and switches, IP video cameras, sensors, and micro data center) and software (fog computing platform and customized application software). According to the report, software represented the largest segment.
The demand for software components like fog computing platforms and customized application software is driven by an increasing need for more flexible and scalable solutions that could address the multiple needs of various industries. Fog computing platforms bring along a comprehensive framework that owns the management of distributed computing resources and data across several edge devices, improving the overall flexibility and effectiveness of the system. Whereas in custom-made application software solutions, businesses are able to tailor fog computing to meet their operational needs in terms of getting the best performance and integration with already existing infrastructures. Apart from that, these software solutions also come along with influential tools for monitoring, management, and orchestration of edge devices to ensure smooth and efficient operations, which bolsters the fog computing market revenue.
A detailed breakup and analysis of the market based on the deployment models have also been provided in the report. This includes private fog nodes, community fog nodes, public fog nodes, and hybrid fog nodes.
The demand for private fog nodes is driven by organizations seeking enhanced data security and control, particularly in sectors like finance and healthcare, where sensitive data processing and compliance are crucial.
Community fog nodes cater to specific groups with common interests, such as research institutions or smart cities, facilitating shared resources and collaborative data processing, enhancing efficiency, and reducing costs.
Public fog nodes are designed for wide and relatively insensitive applications, public fog nodes achieve economies of scale and can be more cost-effective for sectors like retail or entertainment to deal with varied data loads.
As a combination of private and public components, the hybrid fog node provides flexibility and optimized resource utilization to enable objectives with respect to security, cost, and performance by a balance based on individual needs and the sensitivity of data for a given business.
Smart manufacturing represents the leading market segment
The report has provided a detailed breakup and analysis of the market based on the application. This includes building and home automation, smart energy, smart manufacturing, transportation and logistics, connected health, and security and emergencies. According to the report, smart manufacturing represented the largest segment.
The extensive demand for fog computing in smart manufacturing due to the need for real-time monitoring, predictive maintenance, and better automation is strengthening the market growth. Fog computing empowers local data processing, which repels latency to a very minimum and time-to-decision effectively. This is very critical to predictive maintenance, as it provides real-time identification of impending equipment failures and prevents costly downtime through the elongation of the life of a given machine. Besides, fog computing supports advanced automation systems by providing the computational power required for real-time data analysis and fast response, hence offering production lines and overall efficiency optimization. Moreover, with the processing of sensitive data locally, fog computing provides increased data security and privacy, thus influencing the fog computing industry outlook.
North America leads the market, accounting for the largest fog computing market share
The report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America represents the largest regional market for fog computing.
The fog computing industry report shows that the market demand in North America is driven by the region's advanced technological infrastructure, significant investments in IoT and smart city projects, and the presence of key industry players. North America, particularly the United States, is at the forefront of adopting cutting-edge technologies, with extensive R&D efforts and a robust ecosystem supporting innovation. The region's substantial investment in IoT applications across various sectors, including healthcare, automotive, and industrial automation, creates a growing need for efficient data processing solutions like fog computing. Additionally, the presence of major tech companies and startups in North America fuels the development and deployment of fog computing technologies, driving widespread adoption across the region.
(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)