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市場調查報告書
商品編碼
1925021
電信網路可觀測性市場預測至2032年:按組件、部署模式、組織規模、技術、最終用戶和地區分類的全球分析Network Observability for Telecom Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Deployment Model, Organization Size, Technology, End User and By Geography |
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根據 Stratistics MRC 的一項研究,預計到 2025 年,全球電信網路可觀測性市場規模將達到 36.8 億美元,到 2032 年將達到 97.8 億美元,預測期內複合年成長率將達到 15%。
電信網路可觀測性是指即時監控、測量和了解電信網路效能、健康狀況和行為的全面能力。它涉及從各種來源(包括網路設備、流量、應用程式和服務)收集和分析數據,從而獲得可執行的見解。可觀測性使營運商能夠檢測異常、預測潛在故障、最佳化效能並確保服務可靠性。透過結合指標、日誌和追蹤數據,通訊業者可以實現對包括 5G、SDN 和雲端基礎設施在內的複雜多層網路的端到端可視性,從而幫助他們主動管理和改善客戶體驗。
即時監控的需求日益成長
服務供應商需要能夠即時展現網路效能的可觀測性平台。現代化系統支援主動偵測、自動警告和預測分析,從而減少停機時間。供應商正在整合人工智慧驅動的監控工具,以提高回應速度和準確性。對無縫連接日益成長的需求正在加速行動、寬頻和企業通訊服務的普及。即時監控在數位化優先的環境中日益被視為維護客戶信任的關鍵。隨著對即時可見性的依賴性不斷增強,可觀測性正日益成為溝通彈性的策略基礎。
熟練的IT人員短缺
通訊業者在招募和留住能夠管理高階可觀測平台的人才方面面臨重重困難。與資源更豐富的老牌企業相比,小規模的公司面臨更高的風險。人工智慧驅動和雲端原生系統的日益複雜加劇了人才短缺的挑戰。供應商正在引入簡化的介面和自動化功能,以減少對專業技能的依賴。持續的人才短缺導致部署週期延長,營運成本上升。專業知識的匱乏正在重塑現代化策略,使得人才培養成為成功的關鍵因素。
引入人工智慧驅動的分析
負責人正在將智慧分析技術融入其監控系統,以增強預測能力。人工智慧驅動的平台能夠實現複雜網路中的異常檢測、自適應監控和自動化最佳化。供應商正在利用機器學習演算法來提高可擴展性和響應速度。全球範圍內對數位轉型投入的不斷成長,正在推動對高階分析解決方案的需求。人工智慧的整合正在重塑可觀測性,將其轉變為安全高效連接的主動基礎。
資料安全和隱私問題
資料安全和隱私問題正在減緩電信可觀測性解決方案的普及。通訊業者面臨日益嚴重的客戶敏感資料和網路資料外洩風險。與資源雄厚的產業巨頭相比,小規模的供應商更難維持合規性。區域法規結構也增加了可觀測性策略的複雜性。供應商正在整合加密、匿名化和合規性功能以增強信任。日益成長的隱私擔憂正在改變優先事項,使彈性成為成功實現可觀測性的核心。不斷成長的安全風險正在重新定義可觀測性在電信市場抵禦數位威脅的第一道防線中的作用。
新冠疫情加速了電信可觀測性需求的成長,因為數位服務的使用量激增。同時,勞動力和供應鏈中斷延緩了現代化計劃的進展。此外,安全遠端連線需求的增加推動了可觀測性平台的普及。為了在動盪的環境下維持運營,企業更加依賴即時監控和人工智慧驅動的分析。供應商建構了先進的自動化和合規功能,以增強系統的韌性。疫情凸顯了可觀測性作為電信生態係可靠性和連續性關鍵基礎的重要性。
預計在預測期內,通訊服務供應商細分市場將佔據最大的市場佔有率。
在對可擴展可觀測性框架的需求驅動下,通訊服務供應商預計將在預測期內佔據最大的市場佔有率。企業正在將先進的監控平台融入其工作流程,以提高效率和客戶參與。供應商正在開發整合自動化、分析和合規性功能的解決方案。對數位化優先營運日益成長的需求正在推動該領域採用率的提高。通訊業者已經意識到,可觀測性對於在高速網路中保持競爭力至關重要。服務供應商已成為可觀測性規模和創新的關鍵促進者。他們的主導地位反映了業界對可靠性和以客戶為中心的性能的重視。
預計在預測期內,邊緣運算和物聯網可觀測性細分市場將實現最高的複合年成長率。
在分散式環境中對即時監控的需求不斷成長的推動下,邊緣運算和物聯網可觀測性領域預計將在預測期內實現最高成長率。企業越來越需要可觀測性系統來管理物聯網設備和邊緣網路。供應商正在將人工智慧驅動的分析和自適應監控融入其工作流程,以提高回應速度。中小企業和大型機構正受益於針對不同物聯網生態系統量身定做的可擴展解決方案。對邊緣運算的持續投資正在推動該領域的需求。邊緣運算和物聯網可觀測性正在成為下一代連接的關鍵催化劑。
由於成熟的電信基礎設施和企業對監控框架的廣泛應用,預計北美將在預測期內佔據最大的市場佔有率。美國和加拿大的通訊業者在投資雲端原生監控平台方面處於主導。主要技術提供商的存在進一步鞏固了該地區的領先地位。對資料隱私法規合規性的日益成長的需求正在推動各行業的應用。供應商正在整合先進的自動化和分析功能,以在競爭激烈的市場中脫穎而出。北美在電信可觀測性領域將創新與監管合規結合的能力,正是其領先地位的體現。
預計亞太地區在預測期內將實現最高的複合年成長率,這主要得益於快速的數位化、不斷成長的行動網路普及率以及政府主導的互聯互通舉措。中國、印度和東南亞等國家正大力投資監控系統,以支持其電信業務的成長。本地Start-Ups正在推出針對不同消費族群的、經濟高效的解決方案。企業正在採用人工智慧驅動和雲端原生平台,以提高可擴展性和滿足合規性要求。政府推動數位轉型的計畫正在加速這些技術的普及應用。亞太地區的成長受到不斷變化的網路需求的影響,使其成為可觀測性創新最具適應性的中心。其成長軌跡凸顯了該地區作為下一代監控解決方案試驗場的地位。
According to Stratistics MRC, the Global Network Observability for Telecom Market is accounted for $3.68 billion in 2025 and is expected to reach $9.78 billion by 2032 growing at a CAGR of 15% during the forecast period. Network Observability in telecom refers to the comprehensive ability to monitor, measure, and understand the performance, health, and behavior of a telecommunications network in real time. It involves collecting and analyzing data from various sources, including network devices, traffic flows, applications, and services, to gain actionable insights. Observability enables operators to detect anomalies, predict potential failures, optimize performance, and ensure service reliability. By combining metrics, logs, and traces, telecom providers can achieve end-to-end visibility across complex, multi-layered networks, including 5G, SDN, and cloud-based infrastructures, supporting proactive management and enhanced customer experience.
Increasing demand for real-time monitoring
Service providers need observability platforms that deliver instant visibility into network performance. Modernized systems enable proactive detection, automated alerts, and predictive analytics to reduce downtime. Vendors are embedding AI-driven monitoring tools to enhance responsiveness and accuracy. Rising demand for seamless connectivity is amplifying adoption across mobile, broadband, and enterprise telecom services. Real-time monitoring is increasingly viewed as essential for sustaining customer trust in digital-first environments. Growing reliance on instant visibility is positioning observability as a strategic foundation for telecom resilience.
Lack of skilled IT professionals
Telecom operators struggle to recruit and retain talent capable of managing advanced observability platforms. Smaller firms face higher risks compared to incumbents with larger resources. Rising complexity of AI-driven and cloud-native systems further intensifies workforce challenges. Vendors are introducing simplified interfaces and automation to reduce dependency on specialized skills. Persistent talent shortages are slowing deployment timelines and raising operational costs. Limited expertise is reshaping modernization strategies and making workforce development a decisive factor for success.
Adoption of AI-driven analytics
Operators are embedding intelligent analytics into monitoring systems to strengthen predictive capabilities. AI-driven platforms enable anomaly detection, adaptive monitoring, and automated optimization across complex networks. Vendors are deploying machine learning algorithms to enhance scalability and responsiveness. Rising investment in digital transformation is amplifying demand for advanced analytics solutions worldwide. AI integration is reshaping observability into a proactive enabler of secure and efficient connectivity.
Data security and privacy concerns
Data security and privacy concerns are slowing adoption of telecom observability solutions. Operators face rising risks from breaches targeting sensitive customer and network data. Smaller providers struggle to maintain compliance compared to incumbents with larger resources. Regulatory frameworks across regions add complexity to observability strategies. Vendors are embedding encryption, anonymization, and compliance features to strengthen trust. Growing privacy concerns are shifting priorities and making resilience central to observability success. Rising security risks are redefining observability as a frontline defense against digital threats in telecom markets.
The Covid-19 pandemic accelerated demand for telecom observability as digital service usage surged. On one hand, disruptions in workforce and supply chains slowed modernization projects. On the other hand, rising demand for secure remote connectivity boosted adoption of observability platforms. Enterprises increasingly relied on real-time monitoring and AI-driven analytics to sustain operations during volatile conditions. Vendors embedded advanced automation and compliance features to strengthen resilience. The pandemic underscored observability as a vital enabler of trust and continuity in telecom ecosystems.
The telecom service providers segment is expected to be the largest during the forecast period
The telecom service providers segment is expected to account for the largest market share during the forecast period, driven by demand for scalable observability frameworks. Enterprises are embedding advanced monitoring platforms into workflows to strengthen efficiency and customer engagement. Vendors are developing solutions that integrate automation, analytics, and compliance features. Rising demand for digital-first operations is amplifying adoption in this segment. Telecom operators view observability as critical for sustaining competitiveness in high-speed networks. Service providers are emerging as the primary drivers of observability scale and innovation. Their leadership reflects the sector's focus on reliability and customer-centric performance.
The edge & IoT observability segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the edge & IoT observability segment is predicted to witness the highest growth rate, supported by rising demand for real-time monitoring in distributed environments. Enterprises increasingly require observability systems that manage IoT devices and edge networks. Vendors are embedding AI-driven analytics and adaptive monitoring into workflows to strengthen responsiveness. SMEs and large institutions benefit from scalable solutions tailored to diverse IoT ecosystems. Rising investment in edge computing is amplifying demand in this segment. Edge and IoT observability is positioning itself as a catalyst for next-generation connectivity.
During the forecast period, the North America region is expected to hold the largest market share by mature telecom infrastructure and strong enterprise adoption of observability frameworks. Operators in the United States and Canada are leading investments in cloud-native monitoring platforms. The presence of major technology providers further strengthens regional dominance. Rising demand for compliance with data privacy regulations is amplifying adoption across industries. Vendors are embedding advanced automation and analytics to differentiate offerings in competitive markets. North America's leadership is defined by its ability to merge innovation with regulatory discipline in telecom observability.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid digitalization, expanding mobile penetration, and government-led connectivity initiatives. Countries such as China, India, and Southeast Asia are investing heavily in observability systems to support telecom growth. Local startups are deploying cost-effective solutions tailored to diverse consumer bases. Enterprises are adopting AI-driven and cloud-native platforms to strengthen scalability and meet compliance expectations. Government programs promoting digital transformation are accelerating adoption. Asia Pacific's growth is being shaped by evolving network demands making it the most adaptive hub for observability innovation. Its trajectory underscores the region's role as a testing ground for next-generation monitoring solutions.
Key players in the market
Some of the key players in Network Observability for Telecom Market include Ericsson AB, Nokia Corporation, Huawei Technologies Co., Ltd., Cisco Systems, Inc., NEC Corporation, NetScout Systems, Inc., Splunk Inc., Dynatrace Inc., New Relic, Inc., Tech Mahindra Ltd., Infosys Ltd., Wipro Ltd., Accenture plc, Hewlett Packard Enterprise Company and IBM Corporation.
In October 2024, Huawei partnered with MTN South Africa to deploy its Autin intelligent O&M solution, enhancing network observability through AI-driven fault prediction and automated root cause analysis across MTN's radio and core networks.
In February 2024, Nokia launched its Network as Code platform with DevPortal, significantly expanding its network observability and monetization strategy. The platform exposes 5G network capabilities via APIs, allowing developers to create applications with built-in observability for quality-on-demand services, bridging the gap between telecom and IT operations.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.