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市場調査レポート
商品コード
1778949
クラウドOSS BSS市場- 世界の産業規模、シェア、動向、機会、予測、展開別、機能別、産業別、地域別、競合、2020~2030年Cloud OSS BSS Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Deployment, By Functionality, By Industry, By Region & Competition, 2020-2030F |
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クラウドOSS BSS市場- 世界の産業規模、シェア、動向、機会、予測、展開別、機能別、産業別、地域別、競合、2020~2030年 |
出版日: 2025年07月29日
発行: TechSci Research
ページ情報: 英文 185 Pages
納期: 2~3営業日
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クラウドOSS BSSの世界市場規模は2024年に118億9,000万米ドル、2030年のCAGRは10.19%で2030年には212億8,000万米ドルに達すると予測されています。
クラウドOSS BSSの世界市場とは、通信サービスプロバイダ(CSP)がネットワーク運用、サービス提供、顧客管理、課金、収益保証を管理するためにクラウドベースの運用支援システム(OSS)とビジネス支援システム(BSS)を使用することを指します。
市場概要 | |
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予測期間 | 2026~2030年 |
市場規模:2024年 | 118億9,000万米ドル |
市場規模:2030年 | 212億8,000万米ドル |
CAGR:2025~2030年 | 10.19% |
急成長セグメント | メディアとエンターテインメント |
最大市場 | 北米 |
従来、OSSとBSSはオンプレミスで展開されていたが、複雑化、ダイナミックサービス需要、5Gへの移行に伴い、通信事業者は柔軟なクラウドベースのプラットフォームへの移行を進めています。これらのシステムは俊敏性、拡大性、コスト効率に優れており、プロバイダはインフラコストを削減しながら、サービスの管理、運用の自動化、市場のニーズへの迅速な対応を行うことができます。
クラウドOSS BSSソリューションは、ネットワークパフォーマンスのリアルタイム可視化、新サービスの迅速なプロビジョニング、課金プロセスの合理化を可能にします。パーソナライズされたデジタルサービスとオムニチャネルの顧客エンゲージメントに対する需要の高まりは、オープンAPI、AI統合、データ分析をサポートするクラウドネイティブプラットフォームの採用を通信会社に促しています。これらの機能により、顧客体験が向上し、解約が減少し、リソース利用が最適化されます。さらに、パブリッククラウドプロバイダは通信ベンダーと提携し、事前に統合されたOSS BSSソリューションを提供することで、サービスプロバイダの参入障壁をさらに下げ、市場投入までの時間を短縮しています。
世界のクラウドOSS BSS市場は、通信事業者が単なる接続性以上のものを提供するデジタルサービスプロバイダへと進化するにつれて成長すると考えられます。エッジコンピューティング、モノのインターネット、プライベート5Gネットワークが勢いを増すにつれて、クラウドネイティブなOSS BSSシステムの必要性が高まります。さらに、透明性と相互運用性を求める規制当局の圧力は、コスト最適化の目標とともに、レガシーシステムから俊敏なクラウドプラットフォームへの移行を促進すると考えられます。新興経済諸国も、モバイルユーザーの増加とブロードバンドネットワークの拡大をサポートするために、こうしたソリューションを採用すると予想されます。全体として、市場の上昇軌道は、技術の融合、業務効率の必要性、顧客中心のサービスモデルの重視の高まりによって形作られるであると考えられます。
運用の俊敏性とコスト最適化の需要
レガシーシステムの統合と移行の複雑さ
OSS BSS運用におけるAI主導の自動化の加速
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: