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市场调查报告书
商品编码
1859779
全球云端原生 5G 核心网路市场:预测至 2032 年 - 按元件、部署方式、网路、应用程式、最终用户和区域进行分析Cloud Native 5G Core Market Forecasts to 2032 - Global Analysis By Component, Deployment Mode, Network, Application, End User and By Geography |
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根据 Stratistics MRC 的数据,全球云端原生 5G 核心市场预计到 2025 年将达到 46 亿美元,到 2032 年将达到 192 亿美元,预测期内复合年增长率为 22.5%。
云端原生 5G 核心网路是一个模组化、可扩充的架构,它是基于容器化、微服务和编配等云端原生原则所建构。该架构支援混合云端和多重云端环境的动态部署、自动化和高效资源利用。它旨在实现敏捷性和弹性,支援快速服务创新、网路切片和即时扩展。透过解耦网路功能,实现独立昇级和故障隔离,该架构能够为通讯业者和企业应用场景带来更高的营运效率、更低的延迟和更快的上市速度。
通讯业者正在采用云端原生核心架构,以动态扩展其服务。
通讯业者正在向云端原生 5G 核心网路迁移,以实现动态扩展、服务敏捷性和更快的部署週期。这些架构利用容器化微服务和编配平台,根据流量需求即时调整网路。这种转变支持经济高效的扩展,并提高了混合云和多重云端环境下的营运灵活性。随着对低延迟应用和企业级连接的需求不断增长,云端原生核心网路正成为下一代网路策略的核心。
需要进行重大的架构和营运变更。
通讯业者必须投资新的技能、DevOps 工作流程以及 Kubernetes 等容器编排管理工具。迁移过程还需要严格的测试、安全检验以及与现有 OSS/BSS 系统的集成,这可能会延缓部署进度。此外,在多供应商环境中管理分散式工作负载也带来了故障隔离、效能监控和生命週期管理的挑战。这些复杂性可能会阻碍云端成熟度较低的营运商采用云端技术。
将人工智慧/机器学习技术应用于预测性维护和交通优化
人工智慧驱动的分析能够主动侦测异常情况、预测需求高峰并自动分配资源,进而提升网路可靠性和效率。电讯正在探索闭合迴路自动化和基于意图的编配,以减少人工干预并提高服务品质。这些功能还支援自主网路、动态切片和即时服务等级协定 (SLA) 执行等高阶用例,使云端原生核心成为智慧连线的推动者。
监理和合规挑战
业者必须遵守各地区关于资料本地化、合法拦截和跨境流量管理的法规。不同司法管辖区政策的不一致会使云端基础设施规划复杂化,并限制其可扩充性。此外,对供应商中立性、开放介面和网路安全管治的担忧也会减缓云端技术的普及,尤其是在监管严格的市场。这些监管障碍对跨国部署和官民合作关係构成策略风险。
新冠疫情加速了通讯业的数位转型,并推动了向云端原生架构的迁移。随着远距办公、虚拟协作和数位服务需求的不断增长,通讯业者优先考虑能够快速扩展的灵活软体定义网路。云端原生核心网路实现了远端配置、自动更新和集中监控,从而降低了对实体基础架构的依赖。儘管最初的供应链中断影响了硬体的可用性,但这场危机凸显了云端基础网路模式的必要性。
预计在预测期内,管理和编配板块将成为最大的板块。
预计在预测期内,管理和编配领域将占据最大的市场份额,因为它在自动化云端原生环境的生命週期维运中发挥关键作用。这些平台能够编排容器化网路功能、监控效能并执行策略驱动的工作流程。它们还受益于与人工智慧引擎和服务保障框架的集成,从而实现即时可见性和控制。其扩充性和与供应商无关的功能使其成为多重云端部署的必备工具。
预计在预测期内,独立组网5G领域将达到最高的复合年增长率。
独立组网(SA)5G 领域能够独立于传统 LTE 基础设施提供完整的 5G 功能,预计在预测期内将达到最高成长率。与非独立组网(NSA)5G 不同,SA 核心网路支援网路切片、超可靠低延迟通讯(URLLC)和大规模机器通讯(mMTC)等进阶功能。企业和政府正在部署 SA 核心网路用于专用网路、智慧製造和关键任务应用。
由于亚太地区积极部署5G、政府大力支持以及主要经济体快速数位化,预计该地区将在预测期内占据最大的市场份额。中国、日本、韩国和印度等国家正大力投资通讯基础设施和云端原生技术。通讯业者与超大规模资料中心业者之间的策略伙伴关係也正在加速云端原生核心网路的部署,使亚太地区成为全球5G转型领域的领导者。
亚太地区预计将在预测期内保持最高的复合年增长率,这主要得益于行动宽频普及率的提高、物联网应用的日益广泛以及有利的监管改革。新兴市场正优先采用云端原生架构,以克服传统技术的限制并支援可扩展的连接。该地区对技术创新的重视,加上具有竞争力的通讯资费,正在推动云端原生核心解决方案的快速成长和技术进步。
According to Stratistics MRC, the Global Cloud Native 5G Core Market is accounted for $4.6 billion in 2025 and is expected to reach $19.2 billion by 2032 growing at a CAGR of 22.5% during the forecast period. Cloud Native 5G Cores are modular, scalable architecture built using cloud-native principles such as containerization, microservices, and orchestration. It enables dynamic deployment, automation, and efficient resource utilization across hybrid and multi-cloud environments. Designed for agility and resilience, it supports rapid service innovation, network slicing, and real-time scalability. This architecture decouples network functions, allowing independent upgrades and fault isolation, thereby enhancing operational efficiency, reducing latency, and accelerating time-to-market for telecom operators and enterprise use cases.
Operators are adopting cloud-native cores to dynamically scale services
Telecom operators are increasingly transitioning to cloud-native 5G cores to enable dynamic scaling, service agility, and faster deployment cycles. These architectures leverage containerized microservices and orchestration platforms, allowing real-time network adjustments based on traffic demands. The shift supports cost-effective expansion and enhances operational flexibility across hybrid and multi-cloud environments. With growing demand for low-latency applications and enterprise-grade connectivity, cloud-native cores are becoming central to next-generation network strategies.
Requires significant architectural and operational changes
Telecom providers must invest in new skill sets, DevOps workflows, and container orchestration tools such as Kubernetes. The transition also demands rigorous testing, security validation, and integration with existing OSS/BSS systems, which can delay deployment timelines. Additionally, managing distributed workloads across multi-vendor environments introduces challenges in fault isolation, performance monitoring, and lifecycle management. These complexities may hinder adoption among operators with limited cloud maturity.
Integration of AI/ML for predictive maintenance and traffic optimization
AI-driven analytics can proactively detect anomalies, forecast demand spikes, and automate resource allocation, improving network reliability and efficiency. Telecom providers are exploring closed-loop automation and intent-based orchestration to reduce manual intervention and enhance service quality. These capabilities also support advanced use cases such as autonomous networks, dynamic slicing, and real-time SLA enforcement, positioning cloud-native cores as enablers of intelligent connectivity.
Regulatory and compliance challenges
Operators must navigate region-specific mandates related to data localization, lawful interception, and cross-border traffic management. Inconsistent policies across jurisdictions can complicate cloud infrastructure planning and limit scalability. Moreover, concerns around vendor neutrality, open interfaces, and cybersecurity governance may slow adoption, especially in markets with stringent oversight. These regulatory hurdles pose strategic risks for multinational rollouts and public-private partnerships.
The COVID-19 pandemic catalyzed digital transformation across telecom operations, accelerating the shift toward cloud-native architectures. With increased demand for remote work, virtual collaboration, and digital services, operators prioritized flexible, software-defined networks capable of rapid scaling. Cloud-native cores enabled remote provisioning, automated updates, and centralized monitoring, reducing reliance on physical infrastructure. While initial supply chain disruptions affected hardware availability, the crisis underscored the need for resilient, cloud-based network models.
The management and orchestration segment is expected to be the largest during the forecast period
The management and orchestration segment is expected to account for the largest market share during the forecast period due to its critical role in automating lifecycle operations across cloud-native environments. These platforms coordinate containerized network functions, monitor performance, and enforce policy-driven workflows. The segment also benefits from integration with AI engines and service assurance frameworks, enabling real-time visibility and control. Its scalability and vendor-agnostic capabilities make it indispensable for multi-cloud deployments.
The standalone 5G segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the standalone 5G segment is predicted to witness the highest growth rate driven by its ability to deliver full 5G capabilities independent of legacy LTE infrastructure. Unlike non-standalone models, SA cores support advanced features such as network slicing, ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC). Enterprises and governments are increasingly deploying SA cores for private networks, smart manufacturing, and mission-critical applications.
During the forecast period, the Asia Pacific region is expected to hold the largest market share due to aggressive 5G rollouts, strong government support, and rapid digitalization across key economies. Countries like China, Japan, South Korea, and India are investing heavily in telecom infrastructure and cloud-native technologies. Strategic partnerships between telcos and hyperscalers are also accelerating cloud-native core deployments, positioning Asia Pacific as a global leader in 5G transformation.
Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR propelled by expanding mobile broadband penetration, rising IoT adoption, and favorable regulatory reforms. Emerging markets are prioritizing cloud-native architectures to overcome legacy constraints and support scalable connectivity. The region's focus on innovation, combined with competitive telecom pricing, is fostering rapid growth and technological advancement in cloud-native core solutions.
Key players in the market
Some of the key players in Cloud Native 5G Core Market include Ericsson, Nokia, Huawei Technologies, Samsung Electronics, ZTE Corporation, Mavenir, Cisco Systems, NEC Corporation, HPE, Juniper Networks, VMware, Microsoft, Amazon Web Services, Affirmed Networks, Casa Systems, Intel Corporation, and Red Hat.
In October 2025, Samsung introduced Galaxy XR, an AI-native extended reality device built on Android XR ecosystem. It supports multimodal interaction and immersive productivity. The device is priced at $1,799.99 and targets enterprise and consumer markets.
In October 2025, Nokia announced plans to launch millimeter-wave Fixed Wireless Access products in India within six months. The initiative targets enterprise and hyperscaler growth, with several deals lined up. It supports private 5G and broadband expansion.
In September 2025, Huawei introduced the WATCH GT 6 series, MatePad 12 X, nova 14 smartphones, and FreeBuds 7i. The launch emphasized wearable innovation and seamless productivity. It reflects Huawei's push into premium consumer tech.
Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.