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市场调查报告书
商品编码
1925021
电信网路可观测性市场预测至2032年:按组件、部署模式、组织规模、技术、最终用户和地区分類的全球分析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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根据 Stratistics MRC 的一项研究,预计到 2025 年,全球电信网路可观测性市场规模将达到 36.8 亿美元,到 2032 年将达到 97.8 亿美元,预测期内复合年增长率将达到 15%。
电信网路可观测性是指即时监控、测量和了解电信网路效能、健康状况和行为的全面能力。它涉及从各种来源(包括网路设备、流量、应用程式和服务)收集和分析数据,从而获得可执行的见解。可观测性使营运商能够检测异常、预测潜在故障、优化效能并确保服务可靠性。透过结合指标、日誌和追踪数据,通讯业者可以实现对包括 5G、SDN 和云端基础设施在内的复杂多层网路的端到端可视性,从而帮助他们主动管理和改善客户体验。
即时监控的需求日益增长
服务供应商需要能够即时展现网路效能的可观测性平台。现代化系统支援主动侦测、自动警告和预测分析,从而减少停机时间。供应商正在整合人工智慧驱动的监控工具,以提高回应速度和准确性。对无缝连接日益增长的需求正在加速行动、宽频和企业通讯服务的普及。即时监控在数位化优先的环境中日益被视为维护客户信任的关键。随着对即时可见性的依赖性不断增强,可观测性正日益成为沟通弹性的策略基础。
熟练的IT人员短缺
通讯业者在招募和留住能够管理高阶可观测平台的人才方面面临重重困难。与资源更丰富的老牌企业相比,小规模的公司面临更高的风险。人工智慧驱动和云端原生系统的日益复杂加剧了人才短缺的挑战。供应商正在引入简化的介面和自动化功能,以减少对专业技能的依赖。持续的人才短缺导致部署週期延长,营运成本上升。专业知识的匮乏正在重塑现代化策略,使得人才培养成为成功的关键因素。
引入人工智慧驱动的分析
负责人正在将智慧分析技术融入其监控系统,以增强预测能力。人工智慧驱动的平台能够实现复杂网路中的异常检测、自适应监控和自动化优化。供应商正在利用机器学习演算法来提高可扩展性和响应速度。全球范围内对数位转型投入的不断增长,正在推动对高阶分析解决方案的需求。人工智慧的整合正在重塑可观测性,将其转变为安全高效连接的主动基础。
资料安全和隐私问题
资料安全和隐私问题正在减缓电信可观测性解决方案的普及。通讯业者面临日益严重的客户敏感资料和网路资料外洩风险。与资源雄厚的产业巨头相比,小规模的供应商更难维持合规性。区域法规结构也增加了可观测性策略的复杂性。供应商正在整合加密、匿名化和合规性功能以增强信任。日益增长的隐私担忧正在改变优先事项,使弹性成为成功实现可观测性的核心。不断增长的安全风险正在重新定义可观测性在电信市场抵御数位威胁的第一道防线中的作用。
新冠疫情加速了电信可观测性需求的成长,因为数位服务的使用量激增。同时,劳动力和供应链中断延缓了现代化计划的进展。此外,安全远端连线需求的增加推动了可观测性平台的普及。为了在动盪的环境下维持运营,企业更加依赖即时监控和人工智慧驱动的分析。供应商建构了先进的自动化和合规功能,以增强系统的韧性。疫情凸显了可观测性作为电信生态係可靠性和连续性关键基础的重要性。
预计在预测期内,通讯服务供应商细分市场将占据最大的市场份额。
在对可扩展可观测性框架的需求驱动下,通讯服务供应商预计将在预测期内占据最大的市场份额。企业正在将先进的监控平台融入其工作流程,以提高效率和客户参与。供应商正在开发整合自动化、分析和合规性功能的解决方案。对数位化优先营运日益增长的需求正在推动该领域采用率的提高。通讯业者已经意识到,可观测性对于在高速网路中保持竞争力至关重要。服务供应商已成为可观测性规模和创新的关键促进者。他们的主导地位反映了业界对可靠性和以客户为中心的性能的重视。
预计在预测期内,边缘运算和物联网可观测性细分市场将实现最高的复合年增长率。
在分散式环境中对即时监控的需求不断增长的推动下,边缘运算和物联网可观测性领域预计将在预测期内实现最高成长率。企业越来越需要可观测性系统来管理物联网设备和边缘网路。供应商正在将人工智慧驱动的分析和自适应监控融入其工作流程,以提高回应速度。中小企业和大型机构正受益于针对不同物联网生态系统量身定制的可扩展解决方案。对边缘运算的持续投资正在推动该领域的需求。边缘运算和物联网可观测性正在成为下一代连接的关键催化剂。
由于成熟的电信基础设施和企业对监控框架的广泛应用,预计北美将在预测期内占据最大的市场份额。美国和加拿大的通讯业者在投资云端原生监控平台方面处于主导。主要技术提供商的存在进一步巩固了该地区的领先地位。对资料隐私法规合规性的日益增长的需求正在推动各行业的应用。供应商正在整合先进的自动化和分析功能,以在竞争激烈的市场中脱颖而出。北美在电信可观测性领域将创新与监管合规结合的能力,正是其领先地位的体现。
预计亚太地区在预测期内将实现最高的复合年增长率,这主要得益于快速的数位化、不断增长的行动网路普及率以及政府主导的互联互通倡议。中国、印度和东南亚等国家正大力投资监控系统,以支持其电信业务的成长。本地Start-Ups正在推出针对不同消费族群的、经济高效的解决方案。企业正在采用人工智慧驱动和云端原生平台,以提高可扩展性和满足合规性要求。政府推动数位转型的计画正在加速这些技术的普及应用。亚太地区的成长受到不断变化的网路需求的影响,使其成为可观测性创新最具适应性的中心。其成长轨迹凸显了该地区作为下一代监控解决方案试验场的地位。
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.