세계의 클라우드 OSS BSS 시장 규모는 2024년 118억 9,000만 달러였고, CAGR 10.19%로 확대되어, 2030년까지 212억 8,000만 달러에 이를 것으로 예측되고 있습니다.
클라우드 OSS BSS 시장은 통신 서비스 제공업체(CSP)가 네트워크 운영, 서비스 제공, 고객 관리, 과금 및 수익 보증을 관리하기 위해 클라우드 기반 운영 지원 시스템(OSS) 및 비즈니스 지원 시스템(BSS)을 사용하는 것을 의미합니다.
| 시장 개요 | |
|---|---|
| 예측 기간 | 2026-2030년 |
| 시장 규모 : 2024년 | 118억 9,000만 달러 |
| 시장 규모 : 2030년 | 212억 8,000만 달러 |
| CAGR : 2025-2030년 | 10.19% |
| 급성장 부문 | 미디어 및 엔터테인먼트 |
| 최대 시장 | 북미 |
기존 OSS와 BSS는 On-Premise로 전개되었지만, 복잡화, 다이나믹 서비스 수요, 5G로의 이행에 따라 통신사업자는 유연한 클라우드 기반 플랫폼으로의 이행을 진행하고 있습니다.
클라우드 OSS BSS 솔루션은 네트워크 성능의 실시간 시각화, 신규 서비스의 신속한 프로비저닝, 과금 프로세스의 간소화를 가능하게 합니다. 또한 퍼블릭 클라우드 프로바이더는 통신사업자와 제휴해, 사전에 통합된 OSS BSS 솔루션을 제공함으로써 서비스 제공업체의 진입 장벽을 더욱 낮추고 시장 출시까지의 시간을 단축하고 있습니다.
세계의 클라우드 OSS BSS 시장은 통신 사업자가 단순한 연결성 이상을 제공하는 디지털 서비스 제공업체로 진화함에 따라 성장할 것으로 예측됩니다. 또한 투명성과 상호 운용성을 요구하는 규제 당국의 압력은 비용 최적화 목표와 함께 레거시 시스템에서 민첩한 클라우드 플랫폼으로의 전환을 촉진하는 것으로 예측됩니다. 전반적으로 시장의 상승 궤도는 기술의 융합, 업무 효율성의 필요성, 고객 중심의 서비스 모델의 중시 증가에 의해 형성될 것으로 예측됩니다.
운영 민첩성과 비용 최적화 수요
레거시 시스템 통합 및 마이그레이션 복잡성
OSS BSS 운영에서 AI 주도 자동화 가속화
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 | |
|---|---|
| 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: