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市場調查報告書
商品編碼
1778949
雲端 OSS BSS 市場 - 全球產業規模、佔有率、趨勢、機會和預測(按部署、按功能、按行業、按地區和競爭,2020-2030 年預測)Cloud OSS BSS Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Deployment, By Functionality, By Industry, By Region & Competition, 2020-2030F |
2024 年全球雲端 OSS BSS 市值為 118.9 億美元,預計到 2030 年將達到 212.8 億美元,複合年成長率為 10.19%。全球雲端 OSS BSS 市場是指通訊服務供應商 (CSP) 使用基於雲端的營運支援系統 (OSS) 和業務支援系統 (BSS) 來管理網路營運、服務交付、客戶管理、計費和收入保證。
市場概覽 | |
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預測期 | 2026-2030 |
2024年市場規模 | 118.9億美元 |
2030年市場規模 | 212.8億美元 |
2025-2030 年複合年成長率 | 10.19% |
成長最快的領域 | 媒體和娛樂 |
最大的市場 | 北美洲 |
傳統上,OSS 和 BSS 部署在本地,但隨著複雜性的不斷成長、服務需求的動態變化以及向 5G 的轉型,電信營運商正在向靈活的雲端平台轉型。這些系統提供更高的靈活性、可擴展性和成本效益,使供應商能夠管理服務、實現營運自動化並快速回應市場需求,同時降低基礎設施成本。
雲端 OSS BSS 解決方案能夠即時洞察網路效能,加快新服務的配置速度,並簡化計費流程。個人化數位服務和全通路客戶互動的需求日益成長,促使電信公司採用支援開放 API、AI 整合和資料分析的雲端原生平台。這些功能能夠提升客戶體驗、減少客戶流失並最佳化資源利用率。此外,公有雲供應商正在與電信供應商合作,提供預先整合的 OSS BSS 解決方案,進一步降低進入門檻,並加快服務供應商的上市時間。
隨著電信業者向數位服務供應商轉型,提供連接以外的更多服務,全球雲端OSS BSS市場將持續成長。隨著邊緣運算、物聯網和私有5G網路的蓬勃發展,對雲端原生OSS BSS系統的需求也將日益成長。此外,透明度和互通性的監管壓力以及成本最佳化目標將推動從傳統系統向敏捷雲端平台的遷移。預計發展中經濟體也將採用這些解決方案,以支援不斷成長的行動用戶群和不斷擴展的寬頻網路。總體而言,技術整合、營運效率需求以及對以客戶為中心的服務模式的日益重視將塑造市場的上升軌跡。
對營運敏捷性和成本最佳化的需求
遺留系統整合與遷移的複雜性
加速OSS BSS營運中AI驅動的自動化
Global Cloud OSS BSS Market was valued at USD 11.89 Billion in 2024 and is expected to reach USD 21.28 Billion by 2030 with a CAGR of 10.19% through 2030. The Global Cloud OSS BSS Market refers to the use of cloud-based Operations Support Systems (OSS) and Business Support Systems (BSS) by communication service providers (CSPs) to manage network operations, service delivery, customer management, billing, and revenue assurance.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 11.89 Billion |
Market Size 2030 | USD 21.28 Billion |
CAGR 2025-2030 | 10.19% |
Fastest Growing Segment | Media and Entertainment |
Largest Market | North America |
Traditionally, OSS and BSS were deployed on-premises, but with growing complexity, dynamic service demands, and the shift to 5G, telecom operators are transitioning to flexible cloud-based platforms. These systems offer greater agility, scalability, and cost-efficiency, allowing providers to manage services, automate operations, and respond quickly to market needs while reducing infrastructure costs.
Cloud OSS BSS solutions enable real-time visibility into network performance, faster provisioning of new services, and streamlined billing processes. The increasing demand for personalized digital services and omnichannel customer engagement is pushing telecom companies to adopt cloud-native platforms that support open APIs, AI integration, and data analytics. These features enhance customer experience, reduce churn, and optimize resource utilization. In addition, public cloud providers are partnering with telecom vendors to deliver pre-integrated OSS BSS solutions, further lowering entry barriers and accelerating time to market for service providers.
The Global Cloud OSS BSS Market will grow as telcos evolve into digital service providers, offering more than just connectivity. As edge computing, Internet of Things, and private 5G networks gain momentum, the need for cloud-native OSS BSS systems will intensify. Moreover, regulatory pressures for transparency and interoperability, along with cost optimization goals, will drive the migration from legacy systems to agile cloud platforms. Developing economies are also expected to adopt these solutions to support growing mobile user bases and expanding broadband networks. Overall, the market's upward trajectory will be shaped by technological convergence, the need for operational efficiency, and the rising emphasis on customer-centric service models.
Key Market Drivers
Demand for Operational Agility and Cost Optimization
The shift to cloud OSS BSS platforms is primarily driven by the telecom industry's urgent need to increase operational agility while simultaneously reducing capital and operational expenditures. Traditional legacy systems are inflexible, siloed, and costly to maintain, limiting a provider's ability to respond to rapid changes in network demands and customer expectations. Cloud-native OSS BSS enables real-time service orchestration, automated provisioning, and self-healing capabilities that improve operational efficiency. By using shared infrastructure and dynamic resource allocation, operators can scale up or down based on demand, which helps reduce waste and improve return on investment.
The economic pressures in the telecommunications sector have led many service providers to rethink their infrastructure investments. Rather than incurring high up-front costs for on-premise systems, cloud-based platforms offer a pay-as-you-grow model that aligns with the consumption-based economy. Additionally, cloud OSS BSS allows CSPs to introduce new services faster, manage multiple service layers, and accelerate digital transformation efforts without being hindered by legacy IT constraints. In 2024, Telefonica implemented a phased migration of its OSS functions to a public cloud environment, focusing on automation and real-time orchestration. This strategic shift led to a 35% reduction in operational costs by eliminating redundant infrastructure and manual processes, while improving service uptime and delivery speed across its Latin American and European operations.
Key Market Challenges
Legacy System Integration and Migration Complexity
One of the most critical challenges faced by communication service providers in adopting cloud-based OSS BSS platforms is the integration and migration from legacy infrastructure. Most telecom operators have built their networks and operations over decades using proprietary, siloed systems. These legacy OSS BSS platforms are deeply embedded into operational workflows, billing engines, and customer management systems. Migrating to a cloud-native environment involves not only transferring vast amounts of sensitive data but also restructuring operational logic, reconfiguring service flows, and ensuring zero disruption to live services during the transition. This level of transformation demands extensive planning, cross-functional coordination, and often a hybrid co-existence model where cloud systems and legacy systems must operate simultaneously for extended periods.
The complexity intensifies when service providers must ensure that existing customer contracts, billing cycles, service configurations, and operational support functions are not affected during migration. Inadequate migration strategies can lead to billing errors, customer dissatisfaction, and service outages-risks that telecom operators cannot afford. Additionally, a lack of skilled personnel familiar with both legacy systems and cloud technologies slows down transformation. System vendors must also ensure that their cloud OSS BSS solutions can be modular enough to allow phased implementation. In many cases, operators prefer incremental cloud adoption to mitigate risk, but this hybrid model often results in longer project timelines and increased management overhead, thereby delaying the return on investment and strategic benefits of cloud transformation.
Key Market Trends
Acceleration of AI-Driven Automation in OSS BSS Operations
A growing trend in the Global Cloud OSS BSS Market is the integration of artificial intelligence and machine learning into operational and business support systems. Telecom operators are increasingly embedding AI capabilities into cloud-native OSS BSS platforms to drive predictive analytics, intelligent fault detection, and automated network optimization. These AI-enabled systems enhance the responsiveness of telecom operations by identifying potential issues before they impact service quality and automatically orchestrating corrective actions. This significantly reduces human intervention, accelerates incident resolution times, and ensures higher service availability across increasingly complex multi-vendor, multi-technology networks.
In the BSS domain, AI is being leveraged to enable hyper-personalized customer experiences. Telecom providers are using predictive customer behavior modeling to develop dynamic pricing strategies, reduce churn, and upsell digital services more effectively. AI-powered recommendation engines within cloud BSS platforms are transforming the way service packages are created and marketed, allowing operators to adapt offers in real time. As AI models continue to learn from real-time and historical customer data, operators can unlock deeper insights, automate customer support through chatbots, and reduce operational costs while improving satisfaction. This trend marks a clear shift toward intelligent, autonomous network and business management systems.
In this report, the Global Cloud OSS BSS Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Cloud OSS BSS Market.
Global Cloud OSS BSS Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: