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市场调查报告书
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1496223

O-RAN 近实时 RAN 智慧控制器市场 - 全球产业规模、份额、趋势、机会和预测，按组件、部署、地区和竞争细分，2019-2029 年

O-RAN Near-Real-Time RAN Intelligent Controller Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Component, By Deployment, By Region, and By Competition, 2019-2029F
出版日期: | 出版商: TechSci Research | 英文 185 Pages | 商品交期: 2-3个工作天内

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简介目录

2023 年，全球 O-RAN 近实时 RAN 智慧控制器市场估值为 45.3 亿美元，预计在预测期内将强劲成长，到 2029 年复合年增长率为 51.62%。 ，Time RAN 智慧控制器（Near-RT RIC）市场正在经历变革性成长。 O-RAN 是一种开放且分散的架构，有助于无线接取网路的动态编排，而近 RT RIC 则成为这项典范转移的关键。此智慧控制器可优化资源分配、提高网路效率并适应多样化的服务需求，这对于不断发展的 5G 及更高技术领域至关重要。北美凭藉其技术实力和 5G 的快速普及，占据了行业主导地位。 xApp 框架作为主导元件脱颖而出，使开发人员能够创建适合各种网路需求的应用程式。集中部署模式盛行，提供整体网路管理并符合云端原生趋势。儘管安全挑战依然存在，但协作努力、标准化措施以及对开放架构的承诺将推动创新。市场的发展轨迹凸显了对智慧、灵活和开放的无线存取网路的承诺，而近实时 RIC 则处于重塑电信格局的最前沿。

市场概况
预测期 2025-2029
2023 年市场规模 45.3亿美元
2029 年市场规模 399.6亿美元
2024-2029 年复合年增长率 51.62%
成长最快的细分市场 集中
最大的市场 北美洲

主要市场驱动因素

5G部署加速与网路灵活性需求：

转向开放和分散的网路架构：

智慧编排与优化需求：

人工智慧和机器学习的进步：

降低成本和营运效率目标：

主要市场挑战

互通性复杂性与标准化挑战：

开放 RAN 环境中的安全问题：

与现有 RAN 基础设施的整合挑战：

AI/ML 整合和优化的复杂性：

多种业务的网路切片管理：

主要市场趋势

使用 O-RAN 近 RT RIC 不断发展的网路架构：

加速 5G 部署和 O-RAN 采用：

互通性和协作计画：

人工智慧和机器学习的整合：

近 RT RIC 部署中的安全性和可信度：

细分市场洞察

组件洞察

区域洞察

目录

第 1 章：产品概述

第 2 章：研究方法

第 3 章：执行摘要

第 4 章：COVID-19 对全球 O-RAN 近实时 RAN 智慧控制器市场的影响

第 5 章：客户之声

第 6 章：全球 O-RAN 近实时 RAN 智慧控制器市场概述

第 7 章：全球 O-RAN 近实时 RAN 智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 依组件（A1 中介器、Demo1、E2 管理器(E2M)、E2 终端机(E2T)、日誌记录、RIC 警报系统、RIC 讯息路由器(RMR)、RNIB、路由管理器、CXX 的xApp 框架、Go 的xApp 框架、xApp 框架对于Python）
    • 依部署方式（集中式、分散式）
    • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
  • 按公司划分 (2023)
  • 市场地图

第8章：北美O-RAN近实时RAN智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按国家/地区
  • 北美：国家分析
    • 美国
    • 加拿大
    • 墨西哥

第 9 章：欧洲 O-RAN 近实时 RAN 智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按国家/地区
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

第10章：南美O-RAN近实时RAN智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按国家/地区
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第 11 章：中东和非洲 O-RAN 近实时 RAN 智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按国家/地区
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿联酋
    • 南非

第12章：亚太地区O-RAN近即时RAN智慧控制器市场展望

  • 市场规模及预测
    • 按价值
  • 市占率及预测
    • 按组件
    • 按部署
    • 按国家/地区
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

第 13 章：市场动态

  • 司机
  • 挑战

第 14 章：市场趋势与发展

第 15 章：公司简介

  • Nokia Corporation
  • Rakuten Mobile, Inc.
  • Samsung Electronics Co., Ltd.
  • Sterlite Technologies Limited
  • Telefonaktiebolaget LM Ericsson
  • IS-Wireless
  • Parallel Wireless, Inc.
  • VIAVI Solutions Inc.
  • HCL Technologies Limited
  • Casa Systems, Inc.

第 16 章：策略建议

第17章调查会社について・免责事项

简介目录
Product Code: 21480

Global O-RAN Near-Real-Time RAN Intelligent Controller Market was valued at USD 4.53 Billion in 2023 and is anticipated to project robust growth in the forecast period with a CAGR of 51.62% through 2029. The Global O-RAN Near-Real-Time RAN Intelligent Controller (Near-RT RIC) Market is witnessing transformative growth, driven by the convergence of telecommunications and cutting-edge technologies. O-RAN, an open and disaggregated architecture, facilitates the dynamic orchestration of radio access networks, and Near-RT RIC emerges as a linchpin in this paradigm shift. This intelligent controller optimizes resource allocation, enhances network efficiency, and adapts to diverse service requirements, essential for the evolving landscape of 5G and beyond. Industry dominance is marked by North America, leveraging technological prowess and rapid 5G adoption. The xApp Framework stands out as a dominant component, empowering developers to create applications tailored to varied network demands. Centralized deployment models prevail, providing holistic network management and aligning with cloud-native trends. While security challenges persist, collaborative efforts, standardization initiatives, and a commitment to open architectures fuel innovation. The market's trajectory underscores a commitment to intelligent, flexible, and open radio access networks, with Near-RT RIC at the forefront of reshaping the telecommunications landscape.

Market Overview
Forecast Period2025-2029
Market Size 2023USD 4.53 Billion
Market Size 2029USD 39.96 Billion
CAGR 2024-202951.62%
Fastest Growing SegmentCentralized
Largest MarketNorth America

Key Market Drivers

Acceleration of 5G Deployments and Demand for Network Flexibility:

A primary driver propelling the global O-RAN Near-Real-Time RAN Intelligent Controller market is the accelerating deployment of 5G networks worldwide. The demand for higher data rates, lower latency, and increased network capacity has led to a rapid rollout of 5G infrastructure. Near-RT RIC plays a pivotal role in 5G networks by providing intelligent and dynamic orchestration of radio access network (RAN) functions. As operators seek to harness the full potential of 5G, the flexibility offered by O-RAN principles becomes essential. Near-RT RIC enables operators to optimize RAN resources, allocate bandwidth efficiently, and adapt to varying network conditions, fostering a more agile and responsive communication infrastructure.

Shift Towards Open and Disaggregated Network Architectures:

The global O-RAN Near-Real-Time RAN Intelligent Controller market is driven by a fundamental shift in network architectures towards openness and disaggregation. Traditional monolithic RAN architectures are being replaced by open and interoperable solutions that leverage virtualization and software-defined principles. The O-RAN Alliance's initiatives, promoting open interfaces and standardized protocols, have accelerated this transformation. Near-RT RIC serves as a linchpin in this paradigm shift, offering intelligent control and orchestration capabilities within the disaggregated RAN environment. The driver behind this trend is the industry's recognition of the need for flexibility, vendor diversity, and innovation in RAN deployments, ultimately leading to a more competitive and adaptable landscape.

Demand for Intelligent Orchestration and Optimization:

The increasing complexity of modern communication networks, coupled with the dynamic nature of user demands, is driving the demand for intelligent orchestration and optimization provided by Near-RT RIC. As networks evolve to support a diverse range of services, including enhanced mobile broadband (eMBB), massive machine-type communications (mMTC), and ultra-reliable low-latency communications (URLLC), the need for adaptive and real-time RAN control becomes paramount. Near-RT RIC addresses this demand by dynamically orchestrating RAN functions, optimizing resource allocation, and adapting to varying network conditions. The driver here is the industry's quest for more efficient and responsive networks capable of meeting the diverse requirements of emerging applications and services.

Advancements in Artificial Intelligence and Machine Learning:

The integration of artificial intelligence (AI) and machine learning (ML) capabilities represents a significant driver in the global O-RAN Near-Real-Time RAN Intelligent Controller market. AI and ML enable Near-RT RIC to learn from network behavior, predict future conditions, and make informed decisions in near-real-time. This driver is fueled by advancements in AI algorithms, increased computational power, and the availability of large datasets for training models. Leveraging AI and ML, Near-RT RIC can optimize RAN parameters, predict network congestion, and proactively address issues, contributing to enhanced network performance and user experiences. The industry's pursuit of self-optimizing and autonomous networks is a driving force behind the integration of AI and ML in Near-RT RIC.

Cost Reduction and Operational Efficiency Goals:

Cost reduction and operational efficiency emerge as critical drivers in the adoption of O-RAN Near-Real-Time RAN Intelligent Controllers. Traditional RAN architectures often involve proprietary hardware and tightly integrated solutions, resulting in high capital and operational expenditures. O-RAN's open and disaggregated approach allows operators to introduce vendor diversity, choose best-of-breed components, and leverage commercial off-the-shelf (COTS) hardware. Near-RT RIC, by providing intelligent control and optimization capabilities, contributes to operational efficiency by dynamically adapting to network conditions and automating resource management. The drive to minimize costs and enhance operational efficiency motivates operators to embrace O-RAN principles, with Near-RT RIC playing a pivotal role in realizing these objectives.

Key Market Challenges

Interoperability Complexities and Standardization Challenges:

One of the significant challenges facing the global O-RAN Near-Real-Time RAN Intelligent Controller market is the complexities associated with interoperability and the ongoing standardization efforts. The industry's move towards open and disaggregated network architectures necessitates seamless interoperability among components from different vendors. However, achieving this interoperability is challenging due to variations in implementations, interfaces, and protocols across different Near-RT RIC solutions. The lack of standardized interfaces poses hurdles in integrating diverse components, potentially leading to integration issues, performance discrepancies, and limiting the flexibility that O-RAN aims to provide. Industry alliances, such as the O-RAN Alliance, are actively working towards defining common interfaces, but the process of standardization is intricate and requires consensus among various stakeholders.

Security Concerns in Open RAN Environments:

Security concerns pose a significant challenge to the adoption of O-RAN Near-Real-Time RAN Intelligent Controllers, particularly in the context of open RAN environments. The disaggregated and open nature of O-RAN introduces new attack vectors and vulnerabilities that need to be addressed comprehensively. Ensuring the security and integrity of communication networks becomes paramount as Near-RT RIC plays a crucial role in orchestrating and optimizing RAN functions. Challenges include securing interfaces, preventing unauthorized access, and safeguarding against potential cyber threats. Industry stakeholders must collaborate to establish robust security frameworks, implement encryption protocols, and develop best practices to fortify the security posture of Near-RT RIC deployments.

Integration Challenges with Existing RAN Infrastructure:

Integrating O-RAN Near-Real-Time RAN Intelligent Controllers with existing RAN infrastructure poses a substantial challenge for network operators. Many operators have established RAN deployments that may not be inherently designed to accommodate the open and disaggregated principles of O-RAN. Retrofitting existing infrastructure to support Near-RT RIC functionalities involves navigating compatibility issues, addressing legacy protocols, and managing the coexistence of traditional and modern RAN components. The challenge lies in ensuring a smooth transition that leverages the benefits of Near-RT RIC without causing disruptions to existing services or compromising the performance of the overall network.

Complexity of AI/ML Integration and Optimization:

The integration of artificial intelligence (AI) and machine learning (ML) capabilities into O-RAN Near-Real-Time RAN Intelligent Controllers introduces a unique set of challenges. While AI and ML promise to enhance the adaptability and efficiency of RAN operations, integrating these technologies seamlessly requires addressing complexity in algorithm development, training models, and ensuring real-time responsiveness. Challenges include optimizing AI/ML models for near-real-time decision-making, managing the computational resources required for on-device processing, and handling the dynamic and unpredictable nature of wireless networks. The industry must overcome these challenges to fully harness the potential of intelligent RAN controllers and deliver on the promise of self-optimizing and autonomous networks.

Management of Network Slicing for Diverse Services:

As the O-RAN Near-Real-Time RAN Intelligent Controller market evolves, the management of network slicing emerges as a notable challenge. Network slicing is a key feature enabling the creation of isolated virtual networks tailored to specific service requirements. However, efficiently managing multiple network slices for diverse services, each with distinct performance and latency requirements, presents challenges. Coordinating resources, ensuring isolation, and dynamically adapting to changing service demands require sophisticated orchestration and coordination mechanisms within the Near-RT RIC. Addressing these challenges is crucial to delivering on the promise of flexible and scalable networks that can accommodate a wide range of services and applications across industries.

Key Market Trends

Evolving Network Architectures with O-RAN Near-RT RIC:

The global O-RAN Near-Real-Time RAN Intelligent Controller market is witnessing a trend marked by the evolution of network architectures. Near-RT RIC plays a pivotal role in this evolution by introducing intelligence and programmability to radio access networks (RANs). This trend is characterized by the shift toward more flexible and dynamic RAN architectures, allowing operators to optimize network performance, enhance resource allocation, and support diverse services. The introduction of intelligence at the RAN level enables near-real-time decision-making, contributing to the overall efficiency and adaptability of communication networks.

Acceleration of 5G Deployments and O-RAN Adoption:

A significant trend in the O-RAN Near-RT RIC market is the acceleration of 5G deployments and the widespread adoption of O-RAN principles. As 5G networks continue to roll out globally, there is a growing recognition of the importance of intelligent RAN controllers in optimizing the performance of 5G infrastructure. Near-RT RIC, by facilitating real-time orchestration and control of RAN functions, aligns with the requirements of 5G networks, enabling operators to deliver enhanced user experiences, low-latency communication, and efficient resource utilization.

Interoperability and Collaboration Initiatives:

Interoperability and collaborative initiatives are emerging as prominent trends in the O-RAN Near-RT RIC market. As the industry embraces the principles of openness and disaggregation, there is a concerted effort to ensure interoperability among different vendors' Near-RT RIC solutions. Industry alliances, such as the O-RAN Alliance, are playing a crucial role in fostering collaboration, defining common interfaces, and establishing standards that promote seamless integration of Near-RT RIC components. This trend aims to create a more diverse and competitive ecosystem while avoiding vendor lock-in and accelerating the pace of innovation.

Integration of Artificial Intelligence and Machine Learning:

The integration of artificial intelligence (AI) and machine learning (ML) capabilities is a notable trend in the O-RAN Near-RT RIC market. Near-RT RIC, empowered by AI and ML algorithms, enhances its ability to dynamically optimize RAN functions based on real-time data and network conditions. This trend reflects a strategic shift toward autonomous and self-optimizing networks, where intelligent controllers can adapt to changing environments, predict network behavior, and proactively address issues. The incorporation of AI and ML in Near-RT RIC is poised to play a key role in optimizing network performance, reducing operational costs, and ensuring a more resilient and responsive communication infrastructure.

Security and Trustworthiness in Near-RT RIC Deployments:

Security and trustworthiness have emerged as critical trends in the deployment of Near-RT RIC solutions. As these intelligent controllers become integral components of RANs, ensuring the security of communication networks becomes paramount. This trend involves the implementation of robust security measures, including encryption, authentication, and secure interfaces, to protect Near-RT RIC deployments from potential cyber threats and unauthorized access. Industry stakeholders are actively addressing security concerns to build trust in the reliability and resilience of Near-RT RIC solutions, fostering a secure foundation for the evolving landscape of intelligent and open RAN architectures.

Segmental Insights

Component Insights

xApp Framework for CXX segment dominated in the global O-RAN Near-Real-Time RAN Intelligent Controller market in 2023. The xApp Framework serves as a foundation for creating RAN applications, enabling developers to design, implement, and seamlessly integrate their functionalities into the O-RAN architecture. This dominance is attributed to the critical role of xApps in enhancing the intelligence and agility of RAN operations. By leveraging the xApp Framework, developers can build applications that contribute to dynamic resource allocation, intelligent network orchestration, and real-time optimization of RAN functions.

The xApp Framework's dominance is evident in its ability to facilitate innovation and the rapid introduction of new services within the O-RAN ecosystem. Developers across the globe prefer the xApp Framework for its support of multiple programming languages, allowing them to use the language best suited to their expertise and application requirements. The adaptability of the xApp Framework ensures that it remains at the forefront of the O-RAN Near-Real-Time RIC market, accommodating the evolving needs of operators, service providers, and the broader telecommunications industry.

xApp Framework promotes a collaborative and open ecosystem by fostering interoperability between different applications and components within the O-RAN architecture. This collaborative aspect aligns with the core principles of O-RAN, emphasizing vendor diversity and enabling a seamless integration of innovative solutions from various contributors. As a result, the xApp Framework not only dominates but also serves as a unifying force within the O-RAN Near-Real-Time RAN Intelligent Controller market, contributing to the realization of open, intelligent, and efficient RAN deployments globally.

Regional Insights

North America dominated the Global O-RAN Near-Real-Time RAN Intelligent Controller Market in 2023. The region is home to some of the world's leading telecommunications and technology companies that are at the forefront of O-RAN innovation. Major players based in North America have heavily invested in research and development, driving the advancement of intelligent RAN controllers. The United States, in particular, is a hub for technological innovation, with Silicon Valley serving as a global epicenter for cutting-edge developments in telecommunications, networking, and artificial intelligence.

The region has witnessed rapid and widespread adoption of 5G technology, creating a fertile ground for the deployment and utilization of O-RAN Near-Real-Time RAN Intelligent Controllers. As North American telecom operators aggressively roll out 5G networks to meet the escalating demand for high-speed, low-latency connectivity, the need for intelligent RAN controllers becomes paramount. Near-RT RIC is instrumental in optimizing the performance of 5G networks, aligning with the region's commitment to staying at the forefront of next-generation communication technologies. North America's regulatory environment fosters innovation and competition in the telecommunications sector. Policies that encourage open architectures and standards, such as those advocated by the Federal Communications Commission (FCC), align well with the principles of O-RAN. This regulatory support has provided a conducive landscape for the testing and deployment of O-RAN solutions, including Near-RT RIC, encouraging widespread adoption by network operators.

The region's leadership in the global O-RAN Near-Real-Time RAN Intelligent Controller market is further propelled by collaborative initiatives and industry alliances. North American companies actively participate in global standardization efforts, contributing to the development of open interfaces and interoperable solutions. This collaborative spirit fosters a vibrant ecosystem that accelerates the adoption of O-RAN principles.

Key Market Players

Nokia Corporation

Rakuten Mobile, Inc.

Samsung Electronics Co., Ltd.

Sterlite Technologies Limited

Telefonaktiebolaget LM Ericsson

IS-Wireless

Parallel Wireless, Inc.

VIAVI Solutions Inc.

HCL Technologies Limited

Casa Systems, Inc.

Report Scope:

In this report, the Global O-RAN Near-Real-Time RAN Intelligent Controller Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

O-RAN Near-Real-Time RAN Intelligent Controller Market, By Component:

    A1 Mediator Demo1 E2 Manager (E2M) E2 Terminator (E2T) Logging RIC Alarm System RIC Message Router (RMR) RNIB Routing Manager xApp Framework for CXX xApp Framework for Go xApp Framework for Python

O-RAN Near-Real-Time RAN Intelligent Controller Market, By Deployment:

    Centralized Distributed

O-RAN Near-Real-Time RAN Intelligent Controller Market, By Region:

    North America

United States

Canada

Mexico

    Europe

Germany

France

United Kingdom

Italy

Spain

    South America

Brazil

Argentina

Colombia

    Asia-Pacific

China

India

Japan

South Korea

Australia

    Middle East & Africa

Saudi Arabia

UAE

South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global O-RAN Near-Real-Time RAN Intelligent Controller Market.

Available Customizations:

Global O-RAN Near-Real-Time RAN Intelligent Controller Market report with the given market data, Tech Sci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Baseline Methodology
  • 2.2. Key Industry Partners
  • 2.3. Major Association and Secondary Sources
  • 2.4. Forecasting Methodology
  • 2.5. Data Triangulation & Validation
  • 2.6. Assumptions and Limitations

3. Executive Summary

4. Impact of COVID-19 on Global O-RAN Near-Real-Time RAN Intelligent Controller Market

5. Voice of Customer

6. Global O-RAN Near-Real-Time RAN Intelligent Controller Market Overview

7. Global O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component (A1 Mediator, Demo1, E2 Manager (E2M), E2 Terminator (E2T), Logging, RIC Alarm System, RIC Message Router (RMR), RNIB, Routing Manager, xApp Framework for CXX, xApp Framework for Go, xApp Framework for Python)
    • 7.2.2. By Deployment (Centralized, Distributed)
    • 7.2.3. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
  • 7.3. By Company (2023)
  • 7.4. Market Map

8. North America O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment
    • 8.2.3. By Country
  • 8.3. North America: Country Analysis
    • 8.3.1. United States O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Component
        • 8.3.1.2.2. By Deployment
    • 8.3.2. Canada O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Component
        • 8.3.2.2.2. By Deployment
    • 8.3.3. Mexico O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Component
        • 8.3.3.2.2. By Deployment

9. Europe O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment
    • 9.2.3. By Country
  • 9.3. Europe: Country Analysis
    • 9.3.1. Germany O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Component
        • 9.3.1.2.2. By Deployment
    • 9.3.2. France O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Component
        • 9.3.2.2.2. By Deployment
    • 9.3.3. United Kingdom O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Component
        • 9.3.3.2.2. By Deployment
    • 9.3.4. Italy O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 9.3.4.1. Market Size & Forecast
        • 9.3.4.1.1. By Value
      • 9.3.4.2. Market Share & Forecast
        • 9.3.4.2.1. By Component
        • 9.3.4.2.2. By Deployment
    • 9.3.5. Spain O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 9.3.5.1. Market Size & Forecast
        • 9.3.5.1.1. By Value
      • 9.3.5.2. Market Share & Forecast
        • 9.3.5.2.1. By Component
        • 9.3.5.2.2. By Deployment

10. South America O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Component
    • 10.2.2. By Deployment
    • 10.2.3. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Component
        • 10.3.1.2.2. By Deployment
    • 10.3.2. Colombia O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Component
        • 10.3.2.2.2. By Deployment
    • 10.3.3. Argentina O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Component
        • 10.3.3.2.2. By Deployment

11. Middle East & Africa O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 11.1. Market Size & Forecast
    • 11.1.1. By Value
  • 11.2. Market Share & Forecast
    • 11.2.1. By Component
    • 11.2.2. By Deployment
    • 11.2.3. By Country
  • 11.3. Middle East & Africa: Country Analysis
    • 11.3.1. Saudi Arabia O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 11.3.1.1. Market Size & Forecast
        • 11.3.1.1.1. By Value
      • 11.3.1.2. Market Share & Forecast
        • 11.3.1.2.1. By Component
        • 11.3.1.2.2. By Deployment
    • 11.3.2. UAE O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 11.3.2.1. Market Size & Forecast
        • 11.3.2.1.1. By Value
      • 11.3.2.2. Market Share & Forecast
        • 11.3.2.2.1. By Component
        • 11.3.2.2.2. By Deployment
    • 11.3.3. South Africa O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 11.3.3.1. Market Size & Forecast
        • 11.3.3.1.1. By Value
      • 11.3.3.2. Market Share & Forecast
        • 11.3.3.2.1. By Component
        • 11.3.3.2.2. By Deployment

12. Asia Pacific O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook

  • 12.1. Market Size & Forecast
    • 12.1.1. By Value
  • 12.2. Market Share & Forecast
    • 12.2.1. By Component
    • 12.2.2. By Deployment
    • 12.2.3. By Country
  • 12.3. Asia Pacific: Country Analysis
    • 12.3.1. China O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 12.3.1.1. Market Size & Forecast
        • 12.3.1.1.1. By Value
      • 12.3.1.2. Market Share & Forecast
        • 12.3.1.2.1. By Component
        • 12.3.1.2.2. By Deployment
    • 12.3.2. India O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 12.3.2.1. Market Size & Forecast
        • 12.3.2.1.1. By Value
      • 12.3.2.2. Market Share & Forecast
        • 12.3.2.2.1. By Component
        • 12.3.2.2.2. By Deployment
    • 12.3.3. Japan O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 12.3.3.1. Market Size & Forecast
        • 12.3.3.1.1. By Value
      • 12.3.3.2. Market Share & Forecast
        • 12.3.3.2.1. By Component
        • 12.3.3.2.2. By Deployment
    • 12.3.4. South Korea O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 12.3.4.1. Market Size & Forecast
        • 12.3.4.1.1. By Value
      • 12.3.4.2. Market Share & Forecast
        • 12.3.4.2.1. By Component
        • 12.3.4.2.2. By Deployment
    • 12.3.5. Australia O-RAN Near-Real-Time RAN Intelligent Controller Market Outlook
      • 12.3.5.1. Market Size & Forecast
        • 12.3.5.1.1. By Value
      • 12.3.5.2. Market Share & Forecast
        • 12.3.5.2.1. By Component
        • 12.3.5.2.2. By Deployment

13. Market Dynamics

  • 13.1. Drivers
  • 13.2. Challenges

14. Market Trends and Developments

15. Company Profiles

  • 15.1. Nokia Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Key Revenue and Financials
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. Key Product/Services Offered
  • 15.2. Rakuten Mobile, Inc.
    • 15.2.1. Business Overview
    • 15.2.2. Key Revenue and Financials
    • 15.2.3. Recent Developments
    • 15.2.4. Key Personnel
    • 15.2.5. Key Product/Services Offered
  • 15.3. Samsung Electronics Co., Ltd.
    • 15.3.1. Business Overview
    • 15.3.2. Key Revenue and Financials
    • 15.3.3. Recent Developments
    • 15.3.4. Key Personnel
    • 15.3.5. Key Product/Services Offered
  • 15.4. Sterlite Technologies Limited
    • 15.4.1. Business Overview
    • 15.4.2. Key Revenue and Financials
    • 15.4.3. Recent Developments
    • 15.4.4. Key Personnel
    • 15.4.5. Key Product/Services Offered
  • 15.5. Telefonaktiebolaget LM Ericsson
    • 15.5.1. Business Overview
    • 15.5.2. Key Revenue and Financials
    • 15.5.3. Recent Developments
    • 15.5.4. Key Personnel
    • 15.5.5. Key Product/Services Offered
  • 15.6. IS-Wireless
    • 15.6.1. Business Overview
    • 15.6.2. Key Revenue and Financials
    • 15.6.3. Recent Developments
    • 15.6.4. Key Personnel
    • 15.6.5. Key Product/Services Offered
  • 15.7. Parallel Wireless, Inc.
    • 15.7.1. Business Overview
    • 15.7.2. Key Revenue and Financials
    • 15.7.3. Recent Developments
    • 15.7.4. Key Personnel
    • 15.7.5. Key Product/Services Offered
  • 15.8. VIAVI Solutions Inc.
    • 15.8.1. Business Overview
    • 15.8.2. Key Revenue and Financials
    • 15.8.3. Recent Developments
    • 15.8.4. Key Personnel
    • 15.8.5. Key Product/Services Offered
  • 15.9. HCL Technologies Limited
    • 15.9.1. Business Overview
    • 15.9.2. Key Revenue and Financials
    • 15.9.3. Recent Developments
    • 15.9.4. Key Personnel
    • 15.9.5. Key Product/Services Offered
  • 15.10.Casa Systems, Inc.
    • 15.10.1. Business Overview
    • 15.10.2. Key Revenue and Financials
    • 15.10.3. Recent Developments
    • 15.10.4. Key Personnel
    • 15.10.5. Key Product/Services Offered

16. Strategic Recommendations

17. About Us & Disclaimer