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市场调查报告书
商品编码
1625177

2030 年 RAN 智慧控制器市场预测：按类型、网路类型、元件、部署模式、应用程式、最终用户和地区进行的全球分析

RAN Intelligent Controller Market Forecasts to 2030 - Global Analysis By Type (Centralized RAN (C-RAN), Virtualized RAN (vRAN), Distributed RAN (D-RAN) and Other Types), Network Type, Component, Deployment Mode, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC的数据，2024年全球RAN智慧控制器市场规模为2.4235亿美元，预计到2030年将达到45.7892亿美元，预测期内复合年增长率为63.2%。

RAN 智慧控制器是一种基于软体的解决方案，旨在优化和管理行动网路中的 RAN 操作。使用人工智慧和机器学习动态控制资源、流量路由和网路切片，提高网路效率。此控制器有助于提高效能、减少延迟并有效利用不同 RAN 元素之间的频谱。它透过即时智慧地适应流量需求和网路条件，提高现代蜂巢式网路的灵活性、扩充性和自动化。

根据 GSM 协会 (GSMA) 2022 年行动经济报告，2021 年 4G 将占连线数的 58%。

扩大 5G 技术的采用

5G 网路需要最佳化的无线电资源管理、低延迟和更高的容量，以支援大量资料流量、物联网设备和多样化的用例。 RAN智慧控制器使通讯业者能够实现网路管理自动化、高效分配资源并提高网路效能。这些控制器有助于提供 5G 所承诺的极其可靠和高效能的连接，使其成为全球 5G 网路成功部署和扩展的重要组成部分。

整合复杂度

RAN 智慧控制器的整合复杂性源自于将新技术融入现有且通常过时的网路基础架构的挑战。智慧型控制器和旧有系统之间的相容性变得难以保证。因此，这些复杂性减缓了 RAN 智慧控制器的采用，阻碍了整体市场成长以及向更有效率、自动化网路的过渡。

网路自动化和虚拟的需求不断增长

随着通讯业者转向自动化、虚拟网路以提高效率、降低营运成本并支援 5G 部署，RAN 智慧控制器在这项转型中发挥关键作用。透过增强网路可扩展性、灵活性和回应能力，RAN 智慧控制器可协助通讯业者满足对高效、敏捷和未来性的网路基础设施不断增长的需求。因此，网路自动化和虚拟需求的不断增长是推动RAN智慧控制器市场成长的驱动因素。

实施成本高

RAN 智慧控制器的实施成本较高，因为需要先进的硬体、软体和专业知识来部署系统并将其整合到现有网路基础架构中。这种财务障碍阻碍了市场成长，因为营运商可能会推迟或放弃采用这些技术。此外，将 RAN 智慧控制器与旧有系统整合的复杂性可能会增加实施成本，进一步限制采用并减缓市场扩张。

COVID-19 的影响

由于远端工作和资料消耗的增加给网路基础设施带来了更大的压力，COVID-19 大流行加速了对 RAN 智慧控制器的需求。通讯业者专注于网路优化和自动化，以应对流量激增并确保无缝连接。然而，供应链中断、5G 部署延迟以及预算限制减缓了先进 RAN 技术的投资步伐。儘管有这些挑战，疫情凸显了对更敏捷、可扩展和高效网路的需求，以推动市场的长期成长。

预计无线电资源管理产业在预测期内将是最大的

预计无线电资源管理（RRM）领域将在整个预测期内获得最大的市场占有率。在RRM应用中，RAN智慧控制器在优化网路资源分配和利用方面发挥关键作用。动态管理无线电频谱、功率等级和使用者连接，以确保高效的网路效能。结果是增加了网路容量、减​​少了延迟并提供了更好的整体用户体验。

预计通讯服务供应商产业在预测期间内复合年增长率最高

预计通讯服务供应商产业在预测期内将经历最高的复合年增长率。 RAN 智慧控制器对于通讯服务供应商至关重要，因为它们能够增强网路管理和最佳化。这些控制器有利于无线资源的动态分配，提高网路效率、容量和效能。这些控制器支援网路切片等进阶功能，可为不同的使用者需求和使用案例提供无缝服务。

比最大的地区

由于5G网路的快速扩张、网路自动化需求的增加以及该地区的技术进步，亚太地区预计将在预测期内创下最大的市场占有率。中国、日本、韩国和印度等国家在部署 RAN 解决方案以优化网路效能、减少延迟和提高效率方面处于领先地位。智慧城市、物联网连接和资料消耗增加的推动进一步推动了 RAN 智慧控制器的采用。

复合年增长率最高的地区：

由于5G网路的广泛部署以及对网路自动化和最佳化的需求不断增长，预计北美在预测期内的复合年增长率最高。美国和加拿大在采用先进的 RAN 技术来提高网路效率方面处于领先地位。此外，儘管存在整合和成本挑战，但该地区对数位转型、智慧城市和物联网连接的关注正在进一步推动市场成长。

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    • 其他市场参与者的综合分析（最多 3 家公司）
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    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 调查范围
  • 调查方法
    • 资料探勘
    • 资料分析
    • 资料检验
    • 研究途径
  • 研究资讯来源
    • 主要研究资讯来源
    • 二次研究资讯来源
    • 先决条件

第三章市场趋势分析

  • 司机
  • 抑制因素
  • 机会
  • 威胁
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19 的影响

第4章波特五力分析

  • 供应商的议价能力
  • 买方议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第五章全球 RAN 智慧控制器市场：按类型

  • 集中式 RAN (C-RAN)
  • 虚拟RAN (vRAN)
  • 分散式 RAN (D-RAN)
  • 其他类型

第六章全球RAN智慧控制器市场：依网路类型

  • 4G/LTE
  • 5G
  • 传统网路
  • 其他网路类型

第七章全球 RAN 智慧控制器市场：按组成部分

  • 硬体
    • 伺服器
    • 转变
    • 处理器
  • 软体
    • 网路管理软体
    • 自动化软体
  • 服务
    • 专业服务
    • 託管服务

第8章全球RAN智慧控制器市场：依部署模式

  • 本地
  • 云端基础

第九章全球 RAN 智慧控制器市场：依应用分类

  • 无线资源管理
  • 服务品质 (QoS) 管理
  • 交通管理
  • 能源效率
  • 安全和隐私
  • 其他用途

第10章全球RAN智慧控制器市场：依最终用户分类

  • 行动网路营运商 (MNO)
  • 通讯服务供应商
  • 专用网路
  • 政府机构
  • 其他最终用户

第十一章全球RAN智慧控制器市场：按地区

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东/非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲

第十二章 主要进展

  • 合约、伙伴关係、合作和合资企业
  • 收购和合併
  • 新产品发布
  • 业务拓展
  • 其他关键策略

第十三章 公司概况

  • Ericsson
  • Nokia
  • Cisco Systems
  • Huawei
  • Intel Corporation
  • IBM Corporation
  • Oracle Corporation
  • Samsung
  • Fujitsu Corporation
  • Juniper Networks
  • Affirmed Networks
  • NEC Corporation
  • EchoStar Corporation
  • Mavenir
  • ZTE Corporation
  • Parallel Wireless
Product Code: SMRC28130

According to Stratistics MRC, the Global RAN Intelligent Controller Market is accounted for $242.35 million in 2024 and is expected to reach $4578.92 million by 2030 growing at a CAGR of 63.2% during the forecast period. A RAN Intelligent Controller is a software-based solution designed to optimize and manage the operation of a mobile network's RAN. It enhances the network's efficiency by using artificial intelligence and machine learning to dynamically control resources, traffic routing, and network slicing. The controller helps improve performance, reduce latency, and ensure efficient spectrum use across different RAN elements. It enables greater flexibility, scalability, and automation in modern cellular networks, by intelligently adapting to traffic demands and network conditions in real-time.

According to the GSM Association (GSMA)'s 2022 mobile economy report, in 2021, 4G accounted for 58% of the connections.

Market Dynamics:

Driver:

Growing adoption of 5G technology

5G networks require optimized radio resource management, low latency, and enhanced capacity to support massive data traffic, IoT devices, and diverse use cases. RAN Intelligent Controllers enable telecom operators to automate network management, efficiently allocate resources, and improve network performance. These controllers help deliver the ultra-reliable, high-performance connectivity that 5G promises, making them a critical component in the successful deployment and scaling of 5G networks globally.

Restraint:

Integration complexities

Integration complexities in RAN intelligent controllers arise from the challenge of incorporating new technologies into existing, often outdated, network infrastructures. It creates difficulties in ensuring compatibility between the intelligent controller and legacy systems. As a result, the slow adoption of RAN intelligent controllers due to these complexities hampers overall market growth and the transition to more efficient, automated networks.

Opportunity:

Increasing demand for network automation and virtualization

As telecom operators transition to automated, virtualized networks to improve efficiency, reduce operational costs, and support the deployment of 5G, RAN Intelligent Controllers play a critical role in this transformation. By enhancing network scalability, flexibility, and responsiveness, RAN Intelligent Controllers help telecom providers meet the growing need for efficient, agile, and future-proof network infrastructures. Therefore, the increasing demand for network automation and virtualization is a key driver for the growth of the RAN Intelligent Controller market.

Threat:

High implementation costs

High implementation costs in RAN Intelligent Controllers stem from the need for advanced hardware, software, and specialized expertise to deploy and integrate the system into existing network infrastructures. This financial barrier hampers market growth as operators may delay or forgo the adoption of these technologies. Additionally, the complexity of integrating RAN Intelligent Controllers with legacy systems can increase implementation costs, further restricting widespread adoption and slowing market expansion.

Covid-19 Impact

The covid-19 pandemic accelerated the demand for RAN intelligent controllers as remote work and increased data consumption placed more pressure on network infrastructures. Telecom operators focused on network optimization and automation to handle surging traffic and ensure seamless connectivity. However, supply chain disruptions, delays in 5G deployments, and budget constraints slowed the pace of investment in advanced RAN technologies. Despite these challenges, the pandemic underscored the need for more agile, scalable, and efficient networks, boosting long-term market growth.

The radio resource management segment is expected to be the largest during the forecast period

The radio resource management segment is predicted to secure the largest market share throughout the forecast period. In RRM applications, RAN Intelligent Controllers play a crucial role in optimizing the allocation and utilization of network resources. They dynamically manage radio spectrum, power levels, and user connections to ensure efficient network performance. This results in improved network capacity, reduced latency, and better overall user experience.

The telecom service providers segment is expected to have the highest CAGR during the forecast period

The telecom service providers segment is anticipated to witness the highest CAGR during the forecast period. RAN intelligent controllers are crucial for telecom service providers as they enable enhanced network management and optimization. These controllers facilitate the dynamic allocation of radio resources, improving network efficiency, capacity, and performance. These controllers support advanced features such as network slicing, ensuring seamless service delivery across diverse user requirements and use cases.

Region with largest share:

Asia Pacific is expected to register the largest market share during the forecast period due to the rapid expansion of 5G networks, increasing demand for network automation, and the region's technological advancements. Countries like China, Japan, South Korea, and India are leading in deploying RAN solutions to optimize network performance, reduce latency, and improve efficiency. The push for smart cities, IoT connectivity, and higher data consumption is further driving the adoption of RAN Intelligent Controllers.

Region with highest CAGR:

North America is expected to witness the highest CAGR over the forecast period driven by the widespread deployment of 5G networks and the increasing demand for network automation and optimization. The U.S. and Canada are leading in adopting advanced RAN technologies to enhance network efficiency. Additionally, the region's focus on digital transformation, smart cities, and IoT connectivity is further propelling market growth, despite challenges in integration and cost.

Key players in the market

Some of the key players profiled in the RAN Intelligent Controller Market include Ericsson, Nokia, Cisco Systems, Huawei, Intel Corporation, IBM Corporation, Oracle Corporation, Samsung, Fujitsu Corporation, Juniper Networks, Affirmed Networks, NEC Corporation, EchoStar Corporation, Mavenir, ZTE Corporation and Parallel Wireless.

Key Developments:

In July 2024, EchoStar Corporation unveiled the Open RAN Center for Integration and Deployment (ORCID). This new facility is a cutting-edge Open RAN (O-RAN) testing and evaluation lab, strategically located at EchoStar's data center in Cheyenne, Wyoming. This facility plays a critical role in advancing the adoption of Open RAN solutions, promoting interoperability, and accelerating the deployment of next-generation wireless networks, particularly in the context of 5G and beyond.

In February 2023, Mavenir launched the Open RAN Intelligent Controller (O-RIC), that marks a significant advancement in the world of telecommunications and network management, especially in the context of Open Radio Access Networks (Open RAN). The O-RIC offering is designed to enhance the efficiency and flexibility of 5G networks by enabling service differentiation and optimizing network resources.

Types Covered:

  • Centralized RAN (C-RAN)
  • Virtualized RAN (vRAN)
  • Distributed RAN (D-RAN)
  • Other Types

Network Types Covered:

  • 4G/LTE
  • 5G
  • Legacy Networks
  • Other Network Types

Components Covered:

  • Hardware
  • Software
  • Services

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based

Applications Covered:

  • Radio Resource Management
  • Quality of Service (QoS) Management
  • Traffic Management
  • Energy Efficiency
  • Security & Privacy
  • Other Applications

End Users Covered:

  • Mobile Network Operators (MNOs)
  • Telecom Service Providers
  • Private Networks
  • Government Agencies
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2022, 2023, 2024, 2026, and 2030
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global RAN Intelligent Controller Market, By Type

  • 5.1 Introduction
  • 5.2 Centralized RAN (C-RAN)
  • 5.3 Virtualized RAN (vRAN)
  • 5.4 Distributed RAN (D-RAN)
  • 5.5 Other Types

6 Global RAN Intelligent Controller Market, By Network Type

  • 6.1 Introduction
  • 6.2 4G/LTE
  • 6.3 5G
  • 6.4 Legacy Networks
  • 6.5 Other Network Types

7 Global RAN Intelligent Controller Market, By Component

  • 7.1 Introduction
  • 7.2 Hardware
    • 7.2.1 Servers
    • 7.2.2 Switches
    • 7.2.3 Processors
  • 7.3 Software
    • 7.3.1 Network Management Software
    • 7.3.2 Automation Software
  • 7.4 Services
    • 7.4.1 Professional Services
    • 7.4.2 Managed Services

8 Global RAN Intelligent Controller Market, By Deployment Mode

  • 8.1 Introduction
  • 8.2 On-Premises
  • 8.3 Cloud-Based

9 Global RAN Intelligent Controller Market, By Application

  • 9.1 Introduction
  • 9.2 Radio Resource Management
  • 9.3 Quality of Service (QoS) Management
  • 9.4 Traffic Management
  • 9.5 Energy Efficiency
  • 9.6 Security & Privacy
  • 9.7 Other Applications

10 Global RAN Intelligent Controller Market, By End User

  • 10.1 Introduction
  • 10.2 Mobile Network Operators (MNOs)
  • 10.3 Telecom Service Providers
  • 10.4 Private Networks
  • 10.5 Government Agencies
  • 10.6 Other End Users

11 Global RAN Intelligent Controller Market, By Geography

  • 11.1 Introduction
  • 11.2 North America
    • 11.2.1 US
    • 11.2.2 Canada
    • 11.2.3 Mexico
  • 11.3 Europe
    • 11.3.1 Germany
    • 11.3.2 UK
    • 11.3.3 Italy
    • 11.3.4 France
    • 11.3.5 Spain
    • 11.3.6 Rest of Europe
  • 11.4 Asia Pacific
    • 11.4.1 Japan
    • 11.4.2 China
    • 11.4.3 India
    • 11.4.4 Australia
    • 11.4.5 New Zealand
    • 11.4.6 South Korea
    • 11.4.7 Rest of Asia Pacific
  • 11.5 South America
    • 11.5.1 Argentina
    • 11.5.2 Brazil
    • 11.5.3 Chile
    • 11.5.4 Rest of South America
  • 11.6 Middle East & Africa
    • 11.6.1 Saudi Arabia
    • 11.6.2 UAE
    • 11.6.3 Qatar
    • 11.6.4 South Africa
    • 11.6.5 Rest of Middle East & Africa

12 Key Developments

  • 12.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 12.2 Acquisitions & Mergers
  • 12.3 New Product Launch
  • 12.4 Expansions
  • 12.5 Other Key Strategies

13 Company Profiling

  • 13.1 Ericsson
  • 13.2 Nokia
  • 13.3 Cisco Systems
  • 13.4 Huawei
  • 13.5 Intel Corporation
  • 13.6 IBM Corporation
  • 13.7 Oracle Corporation
  • 13.8 Samsung
  • 13.9 Fujitsu Corporation
  • 13.10 Juniper Networks
  • 13.11 Affirmed Networks
  • 13.12 NEC Corporation
  • 13.13 EchoStar Corporation
  • 13.14 Mavenir
  • 13.15 ZTE Corporation
  • 13.16 Parallel Wireless

List of Tables

  • Table 1 Global RAN Intelligent Controller Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global RAN Intelligent Controller Market Outlook, By Type (2022-2030) ($MN)
  • Table 3 Global RAN Intelligent Controller Market Outlook, By Centralized RAN (C-RAN) (2022-2030) ($MN)
  • Table 4 Global RAN Intelligent Controller Market Outlook, By Virtualized RAN (vRAN) (2022-2030) ($MN)
  • Table 5 Global RAN Intelligent Controller Market Outlook, By Distributed RAN (D-RAN) (2022-2030) ($MN)
  • Table 6 Global RAN Intelligent Controller Market Outlook, By Other Types (2022-2030) ($MN)
  • Table 7 Global RAN Intelligent Controller Market Outlook, By Network Type (2022-2030) ($MN)
  • Table 8 Global RAN Intelligent Controller Market Outlook, By 4G/LTE (2022-2030) ($MN)
  • Table 9 Global RAN Intelligent Controller Market Outlook, By 5G (2022-2030) ($MN)
  • Table 10 Global RAN Intelligent Controller Market Outlook, By Legacy Networks (2022-2030) ($MN)
  • Table 11 Global RAN Intelligent Controller Market Outlook, By Other Network Types (2022-2030) ($MN)
  • Table 12 Global RAN Intelligent Controller Market Outlook, By Component (2022-2030) ($MN)
  • Table 13 Global RAN Intelligent Controller Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 14 Global RAN Intelligent Controller Market Outlook, By Servers (2022-2030) ($MN)
  • Table 15 Global RAN Intelligent Controller Market Outlook, By Switches (2022-2030) ($MN)
  • Table 16 Global RAN Intelligent Controller Market Outlook, By Processors (2022-2030) ($MN)
  • Table 17 Global RAN Intelligent Controller Market Outlook, By Software (2022-2030) ($MN)
  • Table 18 Global RAN Intelligent Controller Market Outlook, By Network Management Software (2022-2030) ($MN)
  • Table 19 Global RAN Intelligent Controller Market Outlook, By Automation Software (2022-2030) ($MN)
  • Table 20 Global RAN Intelligent Controller Market Outlook, By Services (2022-2030) ($MN)
  • Table 21 Global RAN Intelligent Controller Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 22 Global RAN Intelligent Controller Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 23 Global RAN Intelligent Controller Market Outlook, By Deployment Mode (2022-2030) ($MN)
  • Table 24 Global RAN Intelligent Controller Market Outlook, By On-Premises (2022-2030) ($MN)
  • Table 25 Global RAN Intelligent Controller Market Outlook, By Cloud-Based (2022-2030) ($MN)
  • Table 26 Global RAN Intelligent Controller Market Outlook, By Application (2022-2030) ($MN)
  • Table 27 Global RAN Intelligent Controller Market Outlook, By Radio Resource Management (2022-2030) ($MN)
  • Table 28 Global RAN Intelligent Controller Market Outlook, By Quality of Service (QoS) Management (2022-2030) ($MN)
  • Table 29 Global RAN Intelligent Controller Market Outlook, By Traffic Management (2022-2030) ($MN)
  • Table 30 Global RAN Intelligent Controller Market Outlook, By Energy Efficiency (2022-2030) ($MN)
  • Table 31 Global RAN Intelligent Controller Market Outlook, By Security & Privacy (2022-2030) ($MN)
  • Table 32 Global RAN Intelligent Controller Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 33 Global RAN Intelligent Controller Market Outlook, By End User (2022-2030) ($MN)
  • Table 34 Global RAN Intelligent Controller Market Outlook, By Mobile Network Operators (MNOs) (2022-2030) ($MN)
  • Table 35 Global RAN Intelligent Controller Market Outlook, By Telecom Service Providers (2022-2030) ($MN)
  • Table 36 Global RAN Intelligent Controller Market Outlook, By Private Networks (2022-2030) ($MN)
  • Table 37 Global RAN Intelligent Controller Market Outlook, By Government Agencies (2022-2030) ($MN)
  • Table 38 Global RAN Intelligent Controller Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.