![]() |
市場調查報告書
商品編碼
1916672
電信數位雙胞胎市場,全球預測至2032年:按組件、網路類型、組織規模、部署模式、最終用戶和地區分類Telecom Digital Twin Market Forecasts to 2032 - Global Analysis By Component (Software and Services), Network Type, Organization Size, Deployment Model, End User and By Geography |
||||||
根據 Stratistics MRC 的一項研究,預計到 2025 年,全球電信數位雙胞胎市場價值將達到 5,422 億美元,在預測期內以 22.6% 的複合年成長率成長,到 2032 年將達到 22,576 億美元。
電信數位雙胞胎是實體通訊網路、系統或流程的虛擬資料驅動副本,能夠即時反映其實際行為、效能和互動。它將來自無線設備、核心網、傳輸層和IT系統等元素的網路數據與先進的分析技術、人工智慧 (AI) 和模擬模型相結合。電信數位雙胞胎使營運商能夠在不影響運作中網路的情況下,可視化網路運作、預測故障、測試配置、最佳化容量並提升服務品質。透過支援情境規劃、自動化和主動決策,電信數位雙胞胎有助於降低營運成本、提高網路可靠性並加速5G及5G之後等下一代技術的應用。
對即時網路效能最佳化的需求
通訊業者越來越需要數位雙胞胎模型來模擬、監控和最佳化複雜的網路環境。這些平台能夠實現預測性維護、動態資源分配和主動故障偵測。供應商正在將人工智慧驅動的分析技術融入數位雙胞胎框架,以提高效率並減少停機時間。對無縫連接日益成長的需求進一步凸顯了即時最佳化的重要性。數位雙胞胎正成為電信生態系統營運韌性的關鍵推動因素。隨著網路規模的擴大,對即時最佳化的需求正在推動電信業採用數位雙胞胎解決方案。
安裝和維護成本高昂
高昂的實施和維修成本仍是電信數位雙胞胎技術普及的主要障礙。營運商需要大量資金投入才能將仿真平台與其現有基礎設施整合。小規模通訊業者往往會因為預算有限和投資報酬率 (ROI) 的不確定性而推遲採用。維護實體系統和虛擬系統之間即時同步的複雜性進一步增加了成本。不斷上漲的能源和營運成本也加劇了營運商的財務困境。供應商正在探索模組化和訂閱模式以減輕前期負擔。儘管市場對數位雙胞胎技術的需求強勁,但高昂的實施和維修成本正在阻礙其廣泛應用。
擴充物聯網通訊服務
企業越來越需要模擬模型來管理智慧城市、醫療保健和工業生態系統中數十億台互聯設備。數位雙胞胎能夠實現物聯網流量的即時監控、預測分析和資源最佳化。供應商正在將物聯網專用模組整合到其電信數位雙胞胎框架中,以增強可擴展性。政府和企業對物聯網基礎設施的投資正在推動對模擬主導管理的需求。中小企業正受惠於針對其區域網路量身定做的、經濟高效的物數位雙胞胎解決方案。物聯網服務的擴展為電信數位雙胞胎技術的應用創造了巨大的成長機會。
資料隱私和安全漏洞
仿真模型會產生和處理敏感的網路數據,因此必須採取措施防止資料外洩。諸如 GDPR 和 CCPA 等法規正在增加企業的合規成本。與老牌電信巨頭相比,小規模供應商難以實施強大的網路安全框架。頻繁的網路攻擊會削弱人們對數位雙胞胎生態系統的信任,並阻礙擴充性。供應商必須不斷更新其加密、監控和存取控制功能,以維護信任。日益增多的隱私和安全漏洞正在削弱信任,並威脅電信業數位雙胞胎解決方案的持續發展。
新冠疫情加速了電信數位雙胞胎的需求,因為遠距辦公和數位化生活方式的興起導致通訊業者面臨流量激增。同時,供應鏈中斷延緩了基礎設施計劃的實施。此外,對彈性網路和自癒網路日益成長的需求推動了仿真平台的應用。企業越來越依賴數位雙胞胎來確保尖峰時段的持續可用性。供應商整合了預測性監控和遠端系統管理功能以增強網路彈性。疫情也凸顯了模擬驅動的自動化在維護通訊可靠性上的重要性。總而言之,新冠疫情促使人們更加意識到數位雙胞胎是電信現代化戰略驅動力的重要因素。
在預測期內,軟體領域將佔據最大的市場佔有率。
在預測期內,軟體領域預計將佔據最大的市場佔有率,這主要得益於對編配、分析和人工智慧驅動的模擬工具的需求。軟體平台使營運商能夠實現工作流程自動化、減少停機時間並增強可擴展性。供應商正在將預測分析和即時監控功能整合到數位雙胞胎軟體套件中。對靈活模組化解決方案日益成長的需求正在推動該領域的應用。營運商正將軟體驅動的數位雙胞胎視為管理複雜5G生態系統的關鍵要素。
在預測期內,資料中心和雲端網路領域將呈現最高的複合年成長率。
受分散式基礎架構中對模擬驅動最佳化需求的不斷成長的推動,資料中心和雲端網路領域預計將在預測期內實現最高成長率。企業正日益尋求利用數位雙胞胎來提升雲端原生和混合環境的效率。供應商正在將人工智慧驅動的編配融入資料中心模擬中,以提高可擴展性。雲端轉型投資的不斷增加正在推動該領域的需求。中小企業和超大規模資料中心業者正受益於專為雲端生態系客製化的具成本效益數位雙胞胎解決方案。隨著資料中心規模的擴大,模擬驅動最佳化正在推動電信領域數位雙胞胎平台的成長。
由於成熟的電信基礎設施、健全的法規結構以及對數位雙胞胎技術的早期應用,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人工智慧驅動的模擬技術以管理5G部署方面處於主導。主要雲端服務供應商和電信廠商的存在進一步鞏固了該地區的領先地位。對混合雲和多重雲端管治日益成長的需求正在推動大型企業採用這些技術。
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都市化、不斷成長的行動網路普及率以及政府主導的數位化舉措。中國、印度和東南亞等國家正大力投資數位雙胞胎平台,以支援其5G網路部署和物聯網生態系統建置。當地產業正在採用經濟高效的模擬框架來增強擴充性並滿足消費者需求。Start-Ups和區域供應商正在推出客製化解決方案,以加速不同市場的普及應用。政府推行的數位轉型和互聯互通計畫也在推動市場需求。
According to Stratistics MRC, the Global Telecom Digital Twin Market is accounted for $542.2 billion in 2025 and is expected to reach $2,257.6 billion by 2032 growing at a CAGR of 22.6% during the forecast period. A Telecom Digital Twin is a virtual, data-driven replica of a physical telecommunications network, system, or process that mirrors its real-time behavior, performance, and interactions. It integrates network data from elements such as radios, core networks, transport layers, and IT systems with advanced analytics, AI, and simulation models. Telecom digital twins enable operators to visualize network operations, predict faults, test configurations, optimize capacity, and improve service quality without impacting live networks. By supporting scenario planning, automation, and proactive decision-making, telecom digital twins help reduce operational costs, enhance network reliability, and accelerate the deployment of next-generation technologies like 5G and beyond.
Real-time network performance optimization demand
Operators increasingly require digital twin models to simulate, monitor, and optimize complex network environments. These platforms enable predictive maintenance, dynamic resource allocation, and proactive fault detection. Vendors are embedding AI-driven analytics into digital twin frameworks to strengthen efficiency and reduce downtime. Rising demand for seamless connectivity is reinforcing the importance of real-time optimization. Digital twins are becoming critical enablers of operational resilience in telecom ecosystems. As networks grow in scale, real-time optimization demand is propelling adoption of telecom digital twin solutions.
High implementation and maintenance costs
High implementation and maintenance costs remain a significant restraint for telecom digital twin adoption. Operators face heavy capital requirements for integrating simulation platforms with legacy infrastructure. Smaller carriers often delay deployment due to limited budgets and uncertain ROI. The complexity of maintaining real-time synchronization between physical and virtual systems adds further expense. Rising energy and operational costs amplify financial challenges for providers. Vendors are experimenting with modular and subscription-based models to reduce upfront burdens. High implementation and maintenance costs are slowing penetration despite strong demand for digital twin technologies.
Expansion in IoT-enabled telecom services
Enterprises increasingly require simulation models to manage billions of connected devices across smart cities, healthcare, and industrial ecosystems. Digital twins enable real-time monitoring of IoT traffic, predictive analytics, and resource optimization. Vendors are embedding IoT-specific modules into telecom digital twin frameworks to strengthen scalability. Governments and enterprises are investing in IoT infrastructure which reinforces demand for simulation-driven management. SMEs benefit from cost-effective IoT-enabled digital twin solutions tailored to localized networks. Expansion in IoT services is fostering significant growth opportunities in telecom digital twin adoption. X
Data privacy and security vulnerabilities
Simulation models generate and process sensitive network data that must be safeguarded against breaches. Enterprises face rising compliance costs due to mandates such as GDPR and CCPA. Smaller providers struggle to implement robust cybersecurity frameworks compared to established telecom giants. Frequent cyberattacks undermine trust in digital twin ecosystems and slow scalability. Vendors must continuously update encryption, monitoring, and access control features to sustain confidence. Rising privacy and security vulnerabilities are restraining confidence and threatening consistent growth in telecom digital twin solutions.
The Covid-19 pandemic accelerated demand for telecom digital twins as operators faced surging traffic loads from remote work and digital-first lifestyles. On one hand, supply chain disruptions delayed infrastructure projects and slowed deployments. On the other hand, rising demand for resilient and self-healing networks boosted adoption of simulation platforms. Enterprises increasingly relied on digital twins to ensure continuity during peak usage. Vendors embedded predictive monitoring and remote management features to strengthen resilience. The pandemic reinforced the importance of simulation-driven automation in sustaining telecom reliability. Overall, Covid-19 boosted awareness of digital twins as a strategic enabler of telecom modernization.
The software segment is expected to be the largest during the forecast period
The software segment is expected to account for the largest market share during the forecast period, driven by demand for orchestration, analytics, and AI-driven simulation tools. Software platforms enable operators to automate workflows, reduce downtime, and strengthen scalability. Vendors are embedding predictive analytics and real-time monitoring into digital twin software suites. Rising demand for flexible and modular solutions is reinforcing adoption in this segment. Operators view software-driven digital twins as critical for managing complex 5G ecosystems.
The data center & cloud networks segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the data center & cloud networks segment is predicted to witness the highest growth rate, supported by rising demand for simulation-driven optimization in distributed infrastructures. Enterprises increasingly require digital twins to strengthen efficiency in cloud-native and hybrid environments. Vendors are embedding AI-driven orchestration into data center simulations to improve scalability. Rising investment in cloud transformation is reinforcing demand in this segment. SMEs and hyperscalers benefit from cost-effective digital twin solutions tailored to cloud ecosystems. As data centers expand globally, simulation-driven optimization is propelling growth in telecom digital twin platforms.
During the forecast period, the North America region is expected to hold the largest market share by mature telecom infrastructure, strong regulatory frameworks, and early adoption of digital twin technologies. Operators in the United States and Canada are leading investments in AI-driven simulation to manage 5G rollouts. The presence of major cloud providers and telecom vendors further strengthens regional dominance. Rising demand for hybrid and multi-cloud governance is reinforcing adoption across large enterprises.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, fueled by rapid urbanization, expanding mobile penetration, and government-led digital initiatives. Countries such as China, India, and Southeast Asia are investing heavily in digital twin platforms to support 5G deployments and IoT ecosystems. Local operators are adopting cost-effective simulation frameworks to strengthen scalability and meet consumer demand. Startups and regional vendors are deploying tailored solutions to accelerate adoption in diverse markets. Government programs promoting digital transformation and connectivity are reinforcing demand.
Key players in the market
Some of the key players in Telecom Digital Twin Market include Cisco Systems, Inc., Nokia Corporation, Huawei Technologies Co., Ltd., Telefonaktiebolaget LM Ericsson, Juniper Networks, Inc., Hewlett Packard Enterprise Company (HPE), IBM Corporation, NEC Corporation, Netcracker Technology Corporation, VMware, Inc., Amdocs Limited, Ciena Corporation, Comarch S.A., Infosys Limited and Capgemini SE.
In September 2024, Nokia announced a strategic collaboration with Amazon Web Services (AWS) to integrate its Modular Digital Twin software with AWS's cloud and AI services, aiming to accelerate network automation and predictive maintenance for operators.
In May 2024, Huawei entered a strategic partnership with China Mobile to deploy a large-scale urban digital twin platform in Shanghai, integrating Huawei's iMaster NAIE with China Mobile's 5G Advanced networks for real-time city management. This collaboration aimed to create a unified data model and open APIs to facilitate third-party application development on the twin platform.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.