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市场调查报告书
商品编码
1778949
云端 OSS BSS 市场 - 全球产业规模、份额、趋势、机会和预测(按部署、按功能、按行业、按地区和竞争,2020-2030 年预测)Cloud OSS BSS Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Deployment, By Functionality, By Industry, By Region & Competition, 2020-2030F |
2024 年全球云端 OSS BSS 市值为 118.9 亿美元,预计到 2030 年将达到 212.8 亿美元,复合年增长率为 10.19%。全球云端 OSS BSS 市场是指通讯服务供应商 (CSP) 使用基于云端的营运支援系统 (OSS) 和业务支援系统 (BSS) 来管理网路营运、服务交付、客户管理、计费和收入保证。
市场概览 | |
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预测期 | 2026-2030 |
2024年市场规模 | 118.9亿美元 |
2030年市场规模 | 212.8亿美元 |
2025-2030 年复合年增长率 | 10.19% |
成长最快的领域 | 媒体和娱乐 |
最大的市场 | 北美洲 |
传统上,OSS 和 BSS 部署在本地,但随着复杂性的不断增长、服务需求的动态变化以及向 5G 的转型,电信营运商正在向灵活的云端平台转型。这些系统提供更高的灵活性、可扩展性和成本效益,使供应商能够管理服务、实现营运自动化并快速回应市场需求,同时降低基础设施成本。
云端 OSS BSS 解决方案能够即时洞察网路效能,加快新服务的配置速度,并简化计费流程。个人化数位服务和全通路客户互动的需求日益增长,促使电信公司采用支援开放 API、AI 整合和资料分析的云端原生平台。这些功能能够提升客户体验、减少客户流失并优化资源利用率。此外,公有云供应商正在与电信供应商合作,提供预先整合的 OSS BSS 解决方案,进一步降低进入门槛,并加快服务供应商的上市时间。
随着电信业者向数位服务供应商转型,提供连接以外的更多服务,全球云端OSS BSS市场将持续成长。随着边缘运算、物联网和私有5G网路的蓬勃发展,对云端原生OSS BSS系统的需求也将日益增长。此外,透明度和互通性的监管压力以及成本优化目标将推动从传统系统向敏捷云端平台的迁移。预计发展中经济体也将采用这些解决方案,以支援不断增长的行动用户群和不断扩展的宽频网路。总体而言,技术整合、营运效率需求以及对以客户为中心的服务模式的日益重视将塑造市场的上升轨迹。
对营运敏捷性和成本优化的需求
遗留系统整合与迁移的复杂性
加速OSS BSS营运中AI驱动的自动化
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: