![]() |
市場調查報告書
商品編碼
2058742
RIC平台市場預測-全球分析(按組件、部署模式、功能、應用、最終用戶和地區分類)——2034年RIC Platforms Market Forecasts to 2034 - Global Analysis By Component (Platforms and Services), Deployment Type, Functionality, Application, End User and By Geography |
||||||
全球RIC平台市場預計到2026年將達到32億美元,並在預測期內以8.6%的複合年成長率成長,到2034年達到62億美元。
RIC平台指的是RAN智慧控制器(RANIC)平台,它為開放式RAN架構提供集中式智慧和控制功能。這些平台利用開放介面和AI驅動的應用來最佳化無線接取網路的效能、資源分配和能源效率。這些平台提供非即時(Non-RT)和近即時(Near-RT)配置,支援xApps和rApps,從而能夠在多廠商通訊環境中實現動態頻譜管理、流量控制和網路自動化。
開放式無線接取網路(Open RAN)採用率快速成長
隨著通訊業者對廠商中立的軟體定義網路 (SDN) 架構的需求日益成長,開放式無線接取網路 (Open RAN) 的採用正在加速無線資訊中心 (RIC) 平台的部署。傳統 RAN 元件的解耦催生了對集中式智慧的需求,以管理複雜的多廠商環境。行動網路營運商正在採用人工智慧驅動的 RIC 解決方案來降低營運成本並提高無線資源效率。支持開放互通通訊基礎設施的地方政府法規進一步強化了這一趨勢,推動了全球對 RIC 平台的巨額投資。
互通性和整合挑戰
儘管存在開放介面標準,但在多廠商無線存取網(RIC)生態系統中實現無縫互通性仍然是持續存在的挑戰。整合xApp、無線存取網設備和編配層的複雜性需要大量的測試和客製化,這增加了通訊業者的部署時間和整體擁有成本。不同廠商實現的E2和O1介面之間的不相容性進一步加劇了大規模部署的難度,限制了缺乏專業技術和資源的小規模網路營運商的採用速度。
人工智慧驅動的網路最佳化
人工智慧 (AI) 和機器學習的進步為 RIC 平台供應商提供了提供自動化網路最佳化功能的巨大機會。能夠對 RAN 資料進行即時推理的智慧 xApp 可以同時最佳化干擾管理、負載平衡和能耗。雲端原生部署模型進一步支援在分散式 RIC 環境中擴展 AI 工作負載。隨著 5G 流量的成長,通訊業者越來越依賴 AI 驅動的 RIC 解決方案來維持服務品質並減輕人工網路工程的負擔。
供應商鎖定風險仍然存在。
儘管開放式無線接取網路(RAN)的原則是開放的,但主導廠商事實上採用的專屬協定可能會在無線存取控制(RIC)生態系統中重新建立廠商鎖定結構。通訊業者面臨依賴特定xApp市場和編配框架的風險,這限制了他們的柔軟性。與傳統的封閉式RAN解決方案相比,開放介面中的安全漏洞會使網路面臨更大的攻擊面。此外,來自垂直整合廠商的競爭,例如以更低的價格提供捆綁式RAN和RIC解決方案,可能會阻礙獨立RIC平台的普及。
新冠疫情初期減緩了5G網路的部署,也延緩了RIC平台的評估與採購週期。然而,這場危機提升了通訊業者數位轉型的優先級,並增強了他們對雲端原生和自動化網路解決方案的興趣。疫情後,行動數據需求的激增以及在家工作對網路連結的需求,促使人們更加關注智慧網路最佳化,最終推動了RIC平台作為下一代網路演進策略支柱的普及應用。
在預測期內,平台細分市場預計將成為規模最大的細分市場。
在預測期內,平台細分市場預計將佔據最大的市場佔有率。這主要是由於通訊業者越來越重視在複雜的多業務環境中保障其收入來源。這些解決方案直接與RIC平台協同工作,監控網路產生的收費資料並即時偵測異常情況。隨著5G和物聯網服務的普及,網路複雜性日益增加,成熟市場的業者正將收入保障放在首位。平台的持續改進進一步提升了該細分市場的商業性吸引力。
在預測期內,非即時RIC細分市場預計將呈現最高的複合年成長率。
在預測期內,非即時無線接取控制器(非RT RIC)領域預計將呈現最高的成長率,這主要得益於通訊業者對基於策略的網路管理和用於無線最佳化的AI模型訓練日益成長的興趣。非RT RIC提供長期的分析和策略控制能力,支援服務編配和自動化策略部署。對符合O-RAN標準的基礎設施投資的增加以及智慧網路規劃工具的興起,正在擴大非RT RIC在全球通訊業者中的應用範圍。
在預測期內,北美預計將佔據最大的市場佔有率,這得益於其對開放式無線存取網(Open RAN)架構的早期採用,以及包括AT&T和Verizon在內的主要通訊業者的大力投資。領先的無線存取網(RIC)平台供應商的存在和成熟的技術生態系統正在推動該地區的領先地位。政府支持國內電信供應鏈多元化的措施進一步加速了該技術的普及。該地區的學術和研究夥伴關係也持續推動人工智慧主導的無線存取網創新。
在預測期內,亞太地區預計將呈現最高的複合年成長率,這主要得益於中國、日本、韓國和印度積極推進的5G網路擴展計畫。政府主導的開放式無線接取網路(Open RAN)試點計畫以及為下一代網路分配的大量頻寬,正在加速無線存取控制(RIC)平台的普及應用。龐大且快速成長的行動用戶群體,持續推動對智慧網路最佳化解決方案的需求,使亞太地區成為全球RIC平台最具活力的成長市場。
According to Stratistics MRC, the Global RIC Platforms Market is accounted for $3.2 billion in 2026 and is expected to reach $6.2 billion by 2034 growing at a CAGR of 8.6% during the forecast period. RIC platforms refer to RAN Intelligent Controller platforms that provide centralized intelligence and control functions for Open RAN architectures. They utilize open interfaces and AI-driven applications to optimize radio access network performance, resource allocation, and energy efficiency. Available in Non-RT and Near-RT configurations, these platforms support xApps and rApps that enable dynamic spectrum management, traffic steering, and network automation across multi-vendor telecom environments.
Open RAN adoption surge
Open RAN adoption is accelerating the deployment of RIC platforms as telecom operators seek vendor-neutral, software-defined network architectures. Disaggregation of traditional RAN components creates demand for centralized intelligence to manage complex multi-vendor environments. Mobile network operators are integrating AI-powered RIC solutions to reduce operational costs and improve radio resource efficiency. This trend is further reinforced by government mandates in multiple regions supporting open interoperable telecom infrastructure, driving significant RIC platform investment globally.
Interoperability and integration challenges
Despite open interface standards, achieving seamless interoperability across multi-vendor RIC ecosystems remains a persistent challenge. Integration complexity between xApps, RAN equipment, and orchestration layers demands extensive testing and customization. This increases deployment timelines and total cost of ownership for telecom operators. Incompatibilities between vendor implementations of E2 and O1 interfaces further complicate large-scale rollouts, limiting the pace of adoption among smaller network operators lacking specialized technical expertise and resources.
AI-driven network optimization
Advances in artificial intelligence and machine learning are creating substantial opportunities for RIC platform vendors to deliver automated network optimization capabilities. Intelligent xApps capable of real-time inference on RAN data can optimize interference management, load balancing, and energy consumption simultaneously. Cloud-native deployment models further enable scalable AI workloads across distributed RIC deployments. As 5G traffic grows, operators increasingly depend on AI-powered RIC solutions to maintain quality of service and reduce manual network engineering effort.
Vendor lock-in risks persist
Despite open RAN principles, de facto proprietary implementations by dominant vendors may recreate lock-in dynamics within RIC ecosystems. Operators risk dependency on specific xApp marketplaces or orchestration frameworks that limit flexibility. Security vulnerabilities in open interfaces expose networks to higher attack surfaces compared to traditional closed RAN solutions. Additionally, competition from vertically integrated vendors offering bundled RAN and RIC solutions at lower prices may undermine standalone RIC platform adoption.
The COVID-19 pandemic initially delayed 5G network rollouts, slowing RIC platform evaluations and procurement cycles. However, the crisis accelerated telco digital transformation priorities, increasing operator interest in cloud-native and automated network solutions. Post-pandemic, surging mobile data demand and work-from-home connectivity requirements intensified focus on intelligent network optimization, ultimately benefiting RIC platform adoption as a strategic pillar of next-generation network evolution.
The platforms segment is expected to be the largest during the forecast period
The platforms segment is expected to account for the largest market share during the forecast period, due to growing telecom operators' focus on protecting revenue streams in complex multi-service environments. These solutions integrate directly with RIC platforms to monitor network-generated billing data and detect discrepancies in real time. Operators in mature markets prioritize revenue assurance as network complexity increases with 5G and IoT service proliferation. Continuous platform enhancements further strengthen the segment's commercial appeal.
The non-RT RIC segment is expected to have the highest CAGR during the forecast period
Over the forecast period, the non-RT RIC segment is predicted to witness the highest growth rate, driven by increasing operator focus on policy-based network management and AI model training for radio optimization. Non-RT RIC enables long-term analytics and strategic control functions that support service orchestration and automated policy deployment. Growing investments in O-RAN-compliant infrastructure and the rise of intelligent network planning tools are expanding the adoption scope of non-RT RIC across global telecom operators.
During the forecast period, the North America region is expected to hold the largest market share, due to early adoption of Open RAN architecture and strong investment from major telecom operators, including AT&T and Verizon. The presence of leading RIC platform vendors and established technology ecosystems drives regional dominance. Government initiatives supporting domestic telecom supply chain diversification further accelerate deployment. Academic and research partnerships in the region continue to advance AI-driven RIC innovation.
Over the forecast period, the Asia Pacific region is expected to exhibit the highest CAGR, driven by aggressive 5G network expansion programs in China, Japan, South Korea, and India. Government-backed Open RAN pilots and significant spectrum allocation for next-generation networks are stimulating RIC platform deployments. The large and rapidly growing mobile subscriber base creates sustained demand for intelligent network optimization solutions, positioning Asia Pacific as the most dynamic growth market for RIC platforms globally.
Key players in the market
Some of the key players in RIC Platforms Market include Nokia Corporation, Ericsson AB, Samsung Electronics Co., Ltd., Fujitsu Limited, NEC Corporation, Mavenir Systems Inc., VMware Inc., Intel Corporation, Cisco Systems Inc., Juniper Networks Inc., Parallel Wireless Inc., Airspan Networks Holdings Inc., Keysight Technologies Inc., Capgemini SE, Rakuten Symphony Inc., Viavi Solutions Inc., Hewlett Packard Enterprise Company, and Amdocs Limited.
In May 2026, Nokia Corporation launched an enhanced AI-powered xApp suite for its RIC platform, enabling real-time radio resource optimization and automated interference management across multi-vendor Open RAN deployments.
In April 2026, Ericsson AB expanded its Intelligent Automation Platform with new Near-RT RIC capabilities, integrating advanced machine learning models to support dynamic traffic steering for large-scale 5G networks.
In March 2026, Mavenir Systems Inc. partnered with a leading hyperscaler to deploy cloud-native RIC solutions on public cloud infrastructure, enabling scalable AI-driven RAN optimization for telecom operators across North America.
Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.