RAN Intelligent Controller Market (By Component: Platforms, Services; By Function: Non-RT RIC, Near-RT RIC; By Technology: 4G, 5G; By Application) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2024-2033

The global RAN intelligent controller market size was surpassed at USD 0.25 billion in 2023 and is expected to hit around USD 29.31 billion by 2033, growing at a CAGR of 61.03% from 2024 to 2033. 

RAN Intelligent Controller Market Size 2024 to 2033

Key Pointers

  • Asia Pacific dominated the market with the largest market share of 40% in 2023.  
  • North America is anticipated to grow at the noteworthy CAGR of 57.75% from 2024 to 2033.
  • By Component, the platform segment held the largest revenue share of 64% in 2023.
  • By Component, the services segment is poised to exhibit the fastest CAGR of 62.02% from 2024 to 2033.
  • By Function, the Non-RT RIC segment generated the maximum market share of 60% in 2023.
  • By Function, the Near-RT RIC segment is anticipated to exhibit the fastest CAGR of 62.13% from 2024 to 2033.
  • By Technology, the 4G segment captured the maximum market share of 65% in 2023.
  • By Technology the 5G segment is expected to exhibit the fastest CAGR, exceeding 71.45% from 2024 to 2033.

RAN Intelligent Controller Market Overview

The RAN (Radio Access Network) intelligent Controller market has witnessed significant growth and innovation in recent years, driven by the evolving landscape of telecommunications and the demand for enhanced network performance. This article provides an overview of the RAN Intelligent Controller market, exploring its key components, market dynamics, and future prospects.

RAN Intelligent Controller Market Growth

The growth of the RAN intelligent controller market is propelled by several key factors. Firstly, the rapid adoption of 5G technology worldwide is driving the demand for RAN Intelligent Controllers, as operators seek to leverage advanced network capabilities and support diverse use cases. Additionally, the shift towards cloud-native architectures in telecommunications networks is fueling the deployment of RAN intelligent controllers, enabling operators to achieve greater agility, scalability, and cost efficiency. Moreover, the increasing focus on network automation is driving the adoption of RAN intelligent controllers, as operators seek to streamline operations, optimize performance, and deliver superior quality of service to end-users. These factors collectively contribute to the growth and expansion of the RAN intelligent controller market, positioning it for continued development and innovation in the telecommunications industry.

RAN Intelligent Controller Market Trends:

  • 5G Adoption Driving Demand: The increasing deployment of 5G networks globally is a primary driver of growth in the RAN intelligent controller market. As operators upgrade their networks to support 5G technology, there is a corresponding surge in demand for RAN Intelligent Controllers to optimize network performance and manage the complexities associated with next-generation connectivity.
  • Cloud-Native Architecture: The shift towards cloud-native architectures in telecommunications is a prominent trend shaping the RAN Intelligent Controller market. Operators are increasingly embracing virtualized and software-defined approaches to network infrastructure, driving the need for RAN Intelligent Controllers to orchestrate resources efficiently in cloud environments.
  • Network Slicing for Customization: With the advent of 5G, network slicing has emerged as a key trend enabled by RAN Intelligent Controllers. Network slicing allows operators to partition their networks into virtual slices tailored to specific applications or user groups, facilitating customization and optimization of network resources to meet diverse service requirements.
  • Automation and AI Integration: The integration of automation and artificial intelligence (AI) technologies is another significant trend in the RAN Intelligent Controller market. Operators are leveraging automation and AI-driven insights to optimize network operations, enhance performance, and proactively address issues, leading to improved efficiency and customer satisfaction.
  • Open RAN Initiatives: The emergence of open RAN initiatives is reshaping the RAN Intelligent Controller market landscape. Open RAN architectures promote interoperability and vendor-neutral solutions, driving innovation and competition while reducing vendor lock-in. RAN Intelligent Controllers play a crucial role in facilitating seamless integration and management within open RAN ecosystems.
  • Edge Computing Integration: The integration of edge computing capabilities into RAN Intelligent Controllers is gaining traction as operators seek to harness the low latency and high bandwidth benefits for edge applications. By deploying RAN intelligent controllers at the network edge, operators can optimize traffic routing, enhance application performance, and unlock new use cases such as IoT and augmented reality.

Component Insights

The platform segment held the dominant position in the overall market, capturing a revenue share of over 64% in 2023. Projections suggest it will maintain robust growth, with a compound annual growth rate (CAGR) of around 60.4% throughout the forecast period. The RAN intelligent controller encompasses software solutions designed to manage RAN operations, aiming to reduce costs and optimize performance. Several market players, including Telefonaktiebolaget LM Ericsson based in Sweden, VMware, Inc. headquartered in the U.S., and Mavenir, offer RAN intelligent controller platforms. Additionally, Accelleran NV, headquartered in Belgium, provides the dRAX RAN intelligent controller, offering real-time analytics to assist mobile network operators in making informed decisions and enhancing network performance.

Meanwhile, the services segment is poised to exhibit the fastest CAGR of 62.02% throughout the forecast period. These services encompass integration, deployment, support, and consulting for the RAN intelligent controller. Deploying RAN may encounter challenges such as integration with legacy systems, high complexity, and technological immaturity. Therefore, support, integration, and deployment services play a crucial role in aiding mobile network operators in efficiently and cost-effectively implementing the platform.

Function Insights

In 2023, the Non-RT RIC segment commanded the largest revenue share, surpassing 60%. Projections indicate it will sustain robust growth, with a forecasted compound annual growth rate (CAGR) exceeding 60.0% throughout the forecast period. Non-RT RIC functionalities encompass device management, fault management, and performance management, among others. It plays a crucial role in optimizing intelligent RAN by offering model management, information, and policy-based guidance to the Near-RT RIC. Leveraging AI, ML, and data analytics, Non-RT RIC determines actions for RAN optimization.

Meanwhile, the Near-RT RIC segment is anticipated to exhibit the fastest CAGR of 62.13% during the forecast period. Near-RT RIC facilitates programmatic control for time cycles ranging from 10 milliseconds to one second. In February 2023, Japan-based NEC Corporation announced the successful demonstration of multi-vendor interoperability and integration of a Near-RT RIC at the O-RAN Global PlugFest 2022 held in Japan. This initiative aimed to meet customer demand for open RAN solutions, showcasing the company's commitment to advancing RAN technology.

Technology Insights

In 2023, the 4G segment asserted its dominance in the overall market, capturing a revenue share exceeding 65%. It is poised to maintain substantial growth, with a significant compound annual growth rate (CAGR) surpassing 51.9% throughout the forecast period. 4G, known as the fourth generation of wireless cellular standards, enjoys widespread adoption globally. According to the GSM Association (GSMA)’s 2022 mobile economy report, 4G connections accounted for 58% of total connections in 2021.

On the other hand, the 5G segment is expected to exhibit the fastest CAGR, exceeding 71.45% throughout the forecast period. The rapid adoption of 5G is driven by the increasing sales of 5G-enabled handsets and the expansion of network coverage. According to the GSM Association (GSMA)’s 2022 mobile economy report, 5G connections accounted for 8% of total connections in 2021. Additionally, government initiatives are expected to further propel the growth of the 5G segment. For example, in October 2022, the Indian government announced the launch of 5G services in India. Consequently, mobile operators are likely to leverage RAN intelligent controllers in 5G networks to enhance Quality of Service (QoS) and deliver superior user experiences.

Application Insights

In 2023, the rApps segment asserted its dominance in the overall RAN intelligent controller industry, capturing a revenue share exceeding 62%. It is projected to maintain robust growth, with an anticipated compound annual growth rate (CAGR) of around 61.0% throughout the forecast period. rApp, short for "radio application," is designed to operate on the Non-RT RIC, without the need for response times of less than one second.

RAN Intelligent Controller Market Share, By Application, 2023 (%)

According to Sweden-based Telefonaktiebolaget LM Ericsson, the four primary rApp categories are Network evolution rApps, network deployment rApps, network optimization rApps, and network healing rApps, all enabled by Artificial Intelligence (AI) and automation. These applications, which do not require frequent changes within a short timeframe, exemplify the rApp concept. For instance, transmit power optimization serves as an illustrative rApp example, typically necessitating adjustments on the scale of hours rather than milliseconds.

Meanwhile, the xApps segment is poised to experience substantial growth, with a projected CAGR of 60.2% throughout the forecast period. xApps, or "near-real-time applications," are designed to operate on the Near-RT RIC, necessitating execution within a second. These applications offer a range of services or functions, including security, mobility management, and radio resource management. Optimizing network handovers serves as an illustrative example of xApps, as the associated algorithm must run within milliseconds to ensure seamless user network connectivity. Furthermore, xApps play a vital role in implementing Quality of Service (QoS) functions such as congestion or traffic control.

Regional Insights

In 2023, Asia Pacific emerged as the leader in the overall market, commanding a revenue share exceeding 40%. Projections suggest it will maintain its position with the fastest compound annual growth rate (CAGR) surpassing 64.0% throughout the forecast period. Asia Pacific boasts prominent market players such as China-based Huawei Technologies Co., Ltd., ZTE Corporation, and South Korea-based SAMSUNG. Furthermore, the region's increasing smartphone penetration and ongoing development of 5G infrastructure are expected to bolster market growth.

RAN Intelligent Controller Market Share, By Region, 2023 (%)

Meanwhile, North America is anticipated to experience significant growth, with a projected CAGR of 57.75%. The region benefits from a well-developed technology infrastructure and high levels of internet and smartphone penetration. Additionally, government initiatives aimed at advancing 5G and RIC technologies are expected to contribute to market expansion in North America.

RAN Intelligent Controller Market Key Companies

  • Telefonaktiebolaget LM Ericsson
  • Nokia
  • Huawei Technologies Co., Ltd.
  • ZTE Corporation
  • SAMSUNG
  • Cisco Systems, Inc.
  • Juniper Networks, Inc.
  • Mavenir
  • Broadcom
  • VIAVI Solutions Inc.

RAN Intelligent Controller Market Segmentations:

By Component

  • Platforms
  • Services

By Function

  • Non-RT RIC (Non-Real-Time-RAN Intelligent Controller)
  • Near-RT RIC (Near-Real-Time-RAN Intelligent Controller)

By Technology

  • 4G
  • 5G

By Application

  • rApps
  • xApps

By Region

  • North America
  • Europe
  • Asia Pacific
  • Central & South America
  • Middle East & Africa

Frequently Asked Questions

The global RAN intelligent controller market size was reached at USD 0.25 billion in 2023 and it is projected to hit around USD 29.31 billion by 2033.

The global RAN intelligent controller market is growing at a compound annual growth rate (CAGR) of 61.03% from 2024 to 2033.

The Asia Pacific region has accounted for the largest RAN intelligent controller market share in 2023.

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on RAN Intelligent Controller Market 

5.1. COVID-19 Landscape: RAN Intelligent Controller Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global RAN Intelligent Controller Market, By Component

8.1. RAN Intelligent Controller Market, by Component, 2024-2033

8.1.1. Platforms

8.1.1.1. Market Revenue and Forecast (2021-2033)

8.1.2. Services

8.1.2.1. Market Revenue and Forecast (2021-2033)

Chapter 9. Global RAN Intelligent Controller Market, By Function

9.1. RAN Intelligent Controller Market, by Function, 2024-2033

9.1.1. Non-RT RIC (Non-Real-Time-RAN Intelligent Controller)

9.1.1.1. Market Revenue and Forecast (2021-2033)

9.1.2. Near-RT RIC (Near-Real-Time-RAN Intelligent Controller)

9.1.2.1. Market Revenue and Forecast (2021-2033)

Chapter 10. Global RAN Intelligent Controller Market, By Technology 

10.1. RAN Intelligent Controller Market, by Technology, 2024-2033

10.1.1. 4G

10.1.1.1. Market Revenue and Forecast (2021-2033)

10.1.2. 5G

10.1.2.1. Market Revenue and Forecast (2021-2033)

Chapter 11. Global RAN Intelligent Controller Market, By Application 

11.1. RAN Intelligent Controller Market, by Application, 2024-2033

11.1.1. rApps

11.1.1.1. Market Revenue and Forecast (2021-2033)

11.1.2. xApps

11.1.2.1. Market Revenue and Forecast (2021-2033)

 `Chapter 12. Global RAN Intelligent Controller Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component (2021-2033)

12.1.2. Market Revenue and Forecast, by Function (2021-2033)

12.1.3. Market Revenue and Forecast, by Technology (2021-2033)

12.1.4. Market Revenue and Forecast, by Application (2021-2033)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.1.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.1.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.1.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component (2021-2033)

12.1.6.2. Market Revenue and Forecast, by Function (2021-2033)

12.1.6.3. Market Revenue and Forecast, by Technology (2021-2033)

12.1.6.4. Market Revenue and Forecast, by Application (2021-2033)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component (2021-2033)

12.2.2. Market Revenue and Forecast, by Function (2021-2033)

12.2.3. Market Revenue and Forecast, by Technology (2021-2033)

12.2.4. Market Revenue and Forecast, by Application (2021-2033)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.2.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.2.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.2.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component (2021-2033)

12.2.6.2. Market Revenue and Forecast, by Function (2021-2033)

12.2.6.3. Market Revenue and Forecast, by Technology (2021-2033)

12.2.6.4. Market Revenue and Forecast, by Application (2021-2033)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component (2021-2033)

12.2.7.2. Market Revenue and Forecast, by Function (2021-2033)

12.2.7.3. Market Revenue and Forecast, by Technology (2021-2033)

12.2.7.4. Market Revenue and Forecast, by Application (2021-2033)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component (2021-2033)

12.2.8.2. Market Revenue and Forecast, by Function (2021-2033)

12.2.8.3. Market Revenue and Forecast, by Technology (2021-2033)

12.2.8.4. Market Revenue and Forecast, by Application (2021-2033)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component (2021-2033)

12.3.2. Market Revenue and Forecast, by Function (2021-2033)

12.3.3. Market Revenue and Forecast, by Technology (2021-2033)

12.3.4. Market Revenue and Forecast, by Application (2021-2033)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.3.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.3.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.3.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component (2021-2033)

12.3.6.2. Market Revenue and Forecast, by Function (2021-2033)

12.3.6.3. Market Revenue and Forecast, by Technology (2021-2033)

12.3.6.4. Market Revenue and Forecast, by Application (2021-2033)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component (2021-2033)

12.3.7.2. Market Revenue and Forecast, by Function (2021-2033)

12.3.7.3. Market Revenue and Forecast, by Technology (2021-2033)

12.3.7.4. Market Revenue and Forecast, by Application (2021-2033)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component (2021-2033)

12.3.8.2. Market Revenue and Forecast, by Function (2021-2033)

12.3.8.3. Market Revenue and Forecast, by Technology (2021-2033)

12.3.8.4. Market Revenue and Forecast, by Application (2021-2033)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component (2021-2033)

12.4.2. Market Revenue and Forecast, by Function (2021-2033)

12.4.3. Market Revenue and Forecast, by Technology (2021-2033)

12.4.4. Market Revenue and Forecast, by Application (2021-2033)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.4.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.4.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.4.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component (2021-2033)

12.4.6.2. Market Revenue and Forecast, by Function (2021-2033)

12.4.6.3. Market Revenue and Forecast, by Technology (2021-2033)

12.4.6.4. Market Revenue and Forecast, by Application (2021-2033)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component (2021-2033)

12.4.7.2. Market Revenue and Forecast, by Function (2021-2033)

12.4.7.3. Market Revenue and Forecast, by Technology (2021-2033)

12.4.7.4. Market Revenue and Forecast, by Application (2021-2033)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component (2021-2033)

12.4.8.2. Market Revenue and Forecast, by Function (2021-2033)

12.4.8.3. Market Revenue and Forecast, by Technology (2021-2033)

12.4.8.4. Market Revenue and Forecast, by Application (2021-2033)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component (2021-2033)

12.5.5.2. Market Revenue and Forecast, by Function (2021-2033)

12.5.5.3. Market Revenue and Forecast, by Technology (2021-2033)

12.5.5.4. Market Revenue and Forecast, by Application (2021-2033)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component (2021-2033)

12.5.6.2. Market Revenue and Forecast, by Function (2021-2033)

12.5.6.3. Market Revenue and Forecast, by Technology (2021-2033)

12.5.6.4. Market Revenue and Forecast, by Application (2021-2033)

Chapter 13. Company Profiles

13.1. Telefonaktiebolaget LM Ericsson

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Nokia

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Huawei Technologies Co., Ltd.

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. ZTE Corporation

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. SAMSUNG

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Cisco Systems, Inc.

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Juniper Networks, Inc.

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. Mavenir

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Broadcom

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. VIAVI Solutions Inc.

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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