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市場調查報告書
商品編碼
1841642
SDN 編排市場 - 全球產業規模、佔有率、趨勢、機會和預測,按組件、按部署模式、按最終用戶、按地區和競爭進行細分,2020-2030 年預測SDN Orchestration Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment Mode, By End-User, By Region & Competition, 2020-2030F |
2024 年全球 SDN 編排市場價值為 245.8 億美元,預計到 2030 年將達到 721.2 億美元,預測期內複合年成長率為 19.47%。
市場概況 | |
---|---|
預測期 | 2026-2030 |
2024年市場規模 | 245.8億美元 |
2030年市場規模 | 721.2億美元 |
2025-2030年複合年成長率 | 19.47% |
成長最快的領域 | 本地部署 |
最大的市場 | 北美洲 |
軟體定義網路編排市場是數位基礎設施領域中一個快速發展的細分領域,專注於透過集中式編排平台簡化、自動化和最佳化複雜網路環境的管理。透過將控制平面與資料平面分離,軟體定義網路編排在幫助企業實現網路營運的敏捷性、可擴展性和成本效益方面發揮著至關重要的作用,從而使管理員能夠更輕鬆地跨不同網路架構動態分配資源、配置策略和管理流量。
雲端運算、邊緣運算和虛擬化技術的日益普及,顯著加速了對軟體定義網路編排解決方案的需求,因為企業和服務供應商需要高效的工具來管理分散式和混合網路,同時確保無縫連接。此外,5G 網路的擴展、物聯網部署的不斷成長以及對資料密集型應用的日益依賴,也加劇了對能夠處理大量流量、降低延遲並提升整體服務品質的自動化編排平台的需求。
隨著各行各業日益轉向數位轉型,企業紛紛力求實現IT基礎設施的現代化,以支持面向未來的應用,這也推動了市場的發展。此外,網路功能虛擬化的採用與軟體定義網路編排技術形成了強大的協同效應,因為這兩種技術共同為傳統的以硬體為中心的網路系統提供了靈活、可編程且經濟高效的替代方案。
網路安全是推動其採用的另一個關鍵因素,因為編排工具可以增強網路可見性,並支援主動威脅偵測和策略實施。展望未來,由於對多域編排、跨異質網路互通性以及人工智慧和機器學習整合以提供預測分析和智慧自動化的需求不斷成長,預計市場將大幅成長。隨著企業持續擁抱數位生態系統,軟體定義網路編排市場將在推動全球網路基礎設施的效率、創新和彈性方面發揮關鍵作用。
雲端和多雲端部署的加速
與傳統基礎設施整合的複雜性
人工智慧與機器學習的融合日益加深,實現智慧網路自動化
Global SDN Orchestration Market was valued at USD 24.58 billion in 2024 and is expected to reach USD 72.12 billion by 2030 with a CAGR of 19.47% during the forecast period.
Market Overview | |
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Forecast Period | 2026-2030 |
Market Size 2024 | USD 24.58 Billion |
Market Size 2030 | USD 72.12 Billion |
CAGR 2025-2030 | 19.47% |
Fastest Growing Segment | On-Premise |
Largest Market | North America |
The Software Defined Networking Orchestration market refers to a rapidly evolving segment of the digital infrastructure landscape that focuses on simplifying, automating, and optimizing the management of complex networking environments through centralized orchestration platforms. It plays a vital role in enabling organizations to achieve agility, scalability, and cost-efficiency in their networking operations by separating the control plane from the data plane, thereby allowing administrators to dynamically allocate resources, configure policies, and manage traffic across diverse network architectures with greater ease.
The rising adoption of cloud computing, edge computing, and virtualization technologies has significantly accelerated the demand for Software Defined Networking Orchestration solutions, as enterprises and service providers require efficient tools to manage distributed and hybrid networks while ensuring seamless connectivity. Furthermore, the expansion of 5G networks, growing Internet of Things deployments, and increasing reliance on data-intensive applications have intensified the need for automated orchestration platforms capable of handling massive traffic volumes, reducing latency, and improving overall quality of service.
The market is also being driven by the growing shift towards digital transformation initiatives across industries, as businesses aim to modernize their IT infrastructure to support future-ready applications. Additionally, the adoption of network function virtualization is creating strong synergies with Software Defined Networking Orchestration, as both technologies together provide flexible, programmable, and cost-effective alternatives to traditional hardware-centric networking systems.
Cybersecurity is another critical factor boosting adoption, as orchestration tools enhance network visibility and enable proactive threat detection and policy enforcement. Looking forward, the market is expected to rise significantly due to the growing demand for multi-domain orchestration, interoperability across heterogeneous networks, and the integration of artificial intelligence and machine learning to provide predictive analytics and intelligent automation. As organizations continue to embrace digital ecosystems, the Software Defined Networking Orchestration market will play a pivotal role in driving efficiency, innovation, and resilience in global networking infrastructure.
Key Market Drivers
Acceleration in Cloud and Multi-Cloud Deployments
In the SDN Orchestration Market, the acceleration in cloud and multi-cloud deployments emerges as a primary driver, as enterprises increasingly leverage hybrid environments to achieve greater scalability, flexibility, and cost-efficiency, necessitating advanced orchestration tools to seamlessly manage and automate network resources across disparate cloud platforms without compromising performance or security. This driver is fueled by the exponential growth in data volumes and the demand for real-time processing, where SDN orchestration enables centralized control over distributed networks, allowing organizations to dynamically allocate bandwidth, optimize traffic flows, and ensure consistent policy enforcement in multi-vendor cloud setups that traditional networking struggles to handle.
As businesses migrate mission-critical applications to the cloud, SDN solutions provide the agility to integrate legacy systems with modern cloud-native architectures, reducing deployment times from weeks to hours and minimizing downtime during transitions that could otherwise disrupt operations. Regulatory compliance and data sovereignty requirements further accelerate this trend, with SDN orchestration offering granular visibility and automated compliance checks to navigate complex multi-cloud governance landscapes. In the finance sector, multi-cloud strategies supported by SDN allow for secure, low-latency transactions across global data centers, enhancing fraud detection through real-time analytics.
Healthcare providers utilize SDN to orchestrate secure data sharing between on-premises electronic health records and cloud-based AI diagnostics, ensuring patient privacy while scaling telemedicine services. Manufacturing enterprises deploy SDN for edge-to-cloud integration, automating supply chain monitoring to predict disruptions and optimize just-in-time inventory. Retailers leverage it for omnichannel experiences, dynamically routing customer data between e-commerce platforms and in-store IoT devices for personalized promotions. Energy utilities manage smart grids via SDN orchestration, balancing load across renewable sources hosted in multiple clouds to prevent outages.
Public sector agencies use it to federate data across government clouds, improving inter-departmental collaboration without vendor lock-in. Entertainment companies stream content globally, with SDN ensuring quality of service by prioritizing bandwidth in multi-cloud CDNs. Agricultural firms connect IoT sensors in fields to cloud analytics, automating irrigation based on weather data from diverse providers. Educational institutions orchestrate virtual learning environments, scaling resources during peak enrollment across hybrid clouds. Financial services firms hedge risks by distributing workloads, using SDN to maintain high availability during market volatility.
Gaming developers host multiplayer sessions in multi-cloud setups, with orchestration minimizing latency for immersive experiences. Social media platforms handle user data surges, SDN automating scaling across clouds for uninterrupted service. E-learning providers manage content delivery, ensuring low-latency access to resources in distributed clouds. Telemedicine services secure patient data flows, SDN enforcing encryption policies across providers. Supply chain operators track assets in real-time, orchestration integrating IoT with multi-cloud analytics for visibility. Environmental monitoring networks aggregate sensor data, SDN optimizing paths to clouds for timely analysis.
Governments streamline citizen services, using SDN to interconnect agency clouds securely. Media companies produce content collaboratively, orchestration enabling seamless file sharing across clouds. Hospitality manages reservations, SDN ensuring data consistency across booking platforms. Insurance processes claims, automating data routing in multi-cloud environments for efficiency. Real estate optimizes property management, connecting IoT building systems to clouds.
Automotive designs vehicles, SDN facilitating simulation data sharing across collaborative clouds. Pharmaceuticals accelerate research, orchestrating data from labs to cloud-based modeling. Overall, the acceleration in cloud and multi-cloud deployments propels the SDN Orchestration Market by demanding intelligent, automated solutions that unify disparate environments, drive operational resilience, and unlock new efficiencies across all industries.
By 2025, approximately 94% of organizations utilize cloud infrastructure, storage, and software in some format, with 96% of companies using public cloud services and 84% employing private cloud solutions. Around 89% of enterprises have adopted multi-cloud strategies, rising to over 92% for large enterprises to enhance flexibility and mitigate vendor lock-in risks. Total global data volume is expected to reach 200 zettabytes by 2025, with 50% of data stored in the cloud, up from 25% in 2015, underscoring the surge in cloud reliance.
Key Market Challenges
Complexity of Integration with Legacy Infrastructure
One of the most significant challenges for the Software Defined Networking orchestration market is the complexity of integrating orchestration platforms with existing legacy infrastructure. Many enterprises and telecommunications providers have heavily invested in conventional networking systems that are often rigid, hardware-dependent, and incompatible with software-defined frameworks. The shift from these traditional architectures to programmable, software-defined, and automated systems demands substantial transformation in both hardware and software layers.
This process requires enterprises to adopt hybrid environments that combine legacy infrastructure with modern software-defined networking orchestration tools, which creates technical complexities. For instance, ensuring interoperability between different generations of equipment, diverse vendor ecosystems, and multiple communication protocols becomes a daunting task. In addition, the need for custom-built interfaces and middleware to enable seamless interaction between orchestration platforms and legacy systems increases implementation timelines and costs. The complexity of integration also extends to the human capital aspect, as organizations must train network engineers and administrators to transition from traditional command-line configurations to software-driven policy management.
This learning curve is steep and may slow down adoption across sectors. Moreover, the integration challenge is further intensified by the scale of deployment required in global enterprises that manage geographically distributed networks. Without proper orchestration, these networks face risks of inefficiency, downtime, and security vulnerabilities. Consequently, organizations may delay or avoid full-scale adoption of software-defined networking orchestration solutions, thereby hindering market growth. Addressing this challenge requires vendors to offer backward-compatible solutions, simplified integration frameworks, and strategic partnerships with legacy system providers to reduce operational disruptions and ensure a smoother migration path.
Key Market Trends
Increasing Integration of Artificial Intelligence and Machine Learning for Intelligent Network Automation
One of the most significant trends shaping the Software Defined Networking Orchestration Market is the growing integration of artificial intelligence and machine learning technologies to achieve intelligent network automation. As enterprises and service providers face increasingly complex networking environments, artificial intelligence and machine learning are being adopted to improve decision-making, predict network failures, and optimize traffic routing in real time. These technologies enable orchestration platforms to analyze massive amounts of data generated from network devices, identify patterns, and proactively address potential issues before they disrupt operations. For instance, artificial intelligence-driven orchestration can predict traffic congestion in advance and reconfigure network paths automatically to ensure uninterrupted service delivery.
This trend is particularly important for industries such as banking, healthcare, and e-commerce where even minimal downtime can result in significant financial and reputational losses. Moreover, the integration of artificial intelligence is helping organizations transition from reactive network management approaches to predictive and proactive models, which reduces operational costs and enhances efficiency. According to recent industry reports, over 60 percent of large-scale enterprises are planning to invest in artificial intelligence-based network orchestration tools within the next three years, highlighting the strong momentum behind this trend. As networks continue to evolve with increasing demands from edge computing, cloud adoption, and connected devices, the ability of software defined networking orchestration solutions to leverage artificial intelligence and machine learning for intelligent automation will be a key differentiator driving adoption and long-term market growth.
In this report, the Global SDN Orchestration 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 SDN Orchestration Market.
Global SDN Orchestration 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: