The global RAN intelligent controller market size is expected to reach USD 6,071.7 million by 2030, expanding at a CAGR of 60.8% during the forecast period.
RAN intelligent controller is a software solution that optimizes baseband communication functions on the Radio Access Network (RAN). It is crucial in managing 5G network functions such as low-latency applications and network slicing. Moreover, the COVID-19 pandemic led to high mobile internet traffic, increasing the need to manage it efficiently and boosting the adoption of RAN intelligent controller solutions.
Governments are taking initiatives and investing in Research & Development (R&D) for developing 5G technologies. For instance, in December 2022, the U.K. government announced an investment of USD 136.1 million, a telecom R&D package that includes the R&D of 5G and 6G technology. The government aimed to accelerate telecoms research with this investment.
RAN intelligent controller improves business agility, reduces operational and infrastructure costs, and improves network performance. Hence, mobile operators are increasingly likely to adopt RAN intelligent controller solutions. In February 2023, NTT DOCOMO, a Japan-based telecommunications company, announced that it had started the Research & Development (R&D) and development of the RAN intelligent controller. The company aimed to reduce operational costs and improve network quality with RAN intelligent controller.
Based on technology, RAN intelligent controller industry is divided into 4G and 5G. 4G has high adoption worldwide and has opportunities to grow in developing nations where 2G and 3G networks are still in use. 5G offers high speed and lower latency and is witnessing growing adoption owing to improving 5G infrastructure. Based on application, the RAN intelligent controller industry is divided into rApps and xApps. rApps run on Non-RT RIC, whereas xApps run on Near-RT RIC. rApps are used in applications with more than one second response time.
The market players are introducing solutions as service providers are transforming RAN architectures that are programmable and open, providing developers an opportunity to create innovative applications and services. In October 2021, VMware, Inc., a U.S.-based software company, announced the VMware RAN Intelligent Controller (RIC) launch. With this launch, the company aimed to aid the service providers in modernizing the RAN.
The key players are adopting different development strategies such as product launches, partnerships, business expansion, and others to expand their presence and market share in the overall RAN intelligent controller industry. In November 2021, Sweden-based Telefonaktiebolaget LM Ericsson announced the launch of its Intelligent Automation Platform. With this launch, the company aimed to help Communication Service Providers (CSPs) optimize network performance and enhance customer experience.
RAN intelligent controller is a software solution that optimizes baseband communication functions on the Radio Access Network (RAN). It is crucial in managing 5G network functions such as low-latency applications and network slicing. Moreover, the COVID-19 pandemic led to high mobile internet traffic, increasing the need to manage it efficiently and boosting the adoption of RAN intelligent controller solutions.
Governments are taking initiatives and investing in Research & Development (R&D) for developing 5G technologies. For instance, in December 2022, the U.K. government announced an investment of USD 136.1 million, a telecom R&D package that includes the R&D of 5G and 6G technology. The government aimed to accelerate telecoms research with this investment.
RAN intelligent controller improves business agility, reduces operational and infrastructure costs, and improves network performance. Hence, mobile operators are increasingly likely to adopt RAN intelligent controller solutions. In February 2023, NTT DOCOMO, a Japan-based telecommunications company, announced that it had started the Research & Development (R&D) and development of the RAN intelligent controller. The company aimed to reduce operational costs and improve network quality with RAN intelligent controller.
Based on technology, RAN intelligent controller industry is divided into 4G and 5G. 4G has high adoption worldwide and has opportunities to grow in developing nations where 2G and 3G networks are still in use. 5G offers high speed and lower latency and is witnessing growing adoption owing to improving 5G infrastructure. Based on application, the RAN intelligent controller industry is divided into rApps and xApps. rApps run on Non-RT RIC, whereas xApps run on Near-RT RIC. rApps are used in applications with more than one second response time.
The market players are introducing solutions as service providers are transforming RAN architectures that are programmable and open, providing developers an opportunity to create innovative applications and services. In October 2021, VMware, Inc., a U.S.-based software company, announced the VMware RAN Intelligent Controller (RIC) launch. With this launch, the company aimed to aid the service providers in modernizing the RAN.
The key players are adopting different development strategies such as product launches, partnerships, business expansion, and others to expand their presence and market share in the overall RAN intelligent controller industry. In November 2021, Sweden-based Telefonaktiebolaget LM Ericsson announced the launch of its Intelligent Automation Platform. With this launch, the company aimed to help Communication Service Providers (CSPs) optimize network performance and enhance customer experience.
RAN Intelligent Controller Market Report Highlights
- RAN intelligent controller has applications such as traffic steering, Radio Access Network (RAN) sharing, and Quality of Service (QoS)-based resource optimization. Increasing internet and smartphone penetration contributes to the market's growth
- The services segment is projected to grow at the fastest CAGR over the forecast period
- The Non-RT RIC segment is expected to dominate the market in 2022 with a market share of 67.5% and is expanding at a CAGR of over 58.0% from 2023 to 2030
- The 5G segment is projected to grow at the fastest CAGR over the forecast period
- The rApps segment dominated the market in 2022 and is expected to expand at a CAGR of around 60.0% from 2023 to 2030
Table of Contents
Chapter 1. Methodology and Scope1.1. Market Segmentation & Scope
1.2. Market Definitions
1.3. Research Methodology
1.4. Research Assumptions
1.5. List of Data Sources
1.5.1. Secondary Sources
1.5.2. Primary Sources
Chapter 2. Executive Summary
2.1. Market Snapshot
2.2. Segmental Snapshot
2.3. Competitive Landscape Snapshot
Chapter 3. Market Variables, Trends, & Scope Outlook
3.1. Market Lineage Outlook
3.2. RAN Intelligent Controller Market Value Chain Analysis
3.3. RAN Intelligent Controller Market Dynamics
3.3.1. Market Driver Analysis
3.3.2. Market Restraint/Challenge Analysis
3.3.3. Market Opportunity Analysis
3.4. Industry Analysis - Porter’s Five Forces Analysis
3.4.1. Supplier Power
3.4.2. Buyer Power
3.4.3. Substitution Threat
3.4.4. Threat of New Entrants
3.4.5. Competitive Rivalry
3.5. RAN Intelligent Controller Market PESTEL Analysis
3.5.1. Political Landscape
3.5.2. Economic Landscape
3.5.3. Social Landscape
3.5.4. Technology Landscape
3.5.5. Environmental Landscape
3.5.6. Legal Landscape
3.6. Impact of COVID-19 on the RAN Intelligent Controller Market
Chapter 4. RAN Intelligent Controller Market Component Outlook
4.1. RAN Intelligent Controller Market, By Component Analysis & Market Share, 2022 & 2030
4.2. Platforms
4.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
4.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
4.3. Services
4.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
4.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
Chapter 5. RAN Intelligent Controller Market Function Outlook
5.1. RAN Intelligent Controller Market, By Function Analysis & Market Share, 2022 & 2030
5.2. Non-RT RIC (Non-Real-Time-RAN Intelligent Controller)
5.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
5.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
5.3. Near-RT RIC (Near-Real-Time-RAN Intelligent Controller)
5.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
5.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
Chapter 6. RAN Intelligent Controller Market Technology Outlook
6.1. RAN Intelligent Controller Market, By Technology Analysis & Market Share, 2022 & 2030
6.2. 4G
6.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
6.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
6.3. 5G
6.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
6.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
Chapter 7. RAN Intelligent Controller Market Application Outlook
7.1. RAN Intelligent Controller Market, By Application Analysis & Market Share, 2022 & 2030
7.2. rApps
7.2.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
7.2.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
7.3. xApps
7.3.1. Market estimates and forecasts, 2017 - 2030 (USD Million)
7.3.2. Market estimates and forecasts, By Region, 2017 - 2030 (USD Million)
Chapter 8. RAN Intelligent Controller Market: Regional Estimates & Trend Analysis
8.1. RAN Intelligent Controller Market Share by Region, 2022 & 2030
8.2. North America
8.2.1. Market estimates and forecasts, 2017 - 2030
8.2.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.2.3. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.2.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.2.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.2.6. U.S.
8.2.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.2.6.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.2.6.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.2.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.2.7. Canada
8.2.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.2.7.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.2.7.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.2.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.3. Europe
8.3.1. Market estimates and forecasts, 2017 - 2030
8.3.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.3.3. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.3.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.3.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.3.6. U.K.
8.3.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.3.6.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.3.6.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.3.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.3.7. Germany
8.3.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.3.7.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.3.7.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.3.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.3.8. France
8.3.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.3.8.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.3.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.3.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4. Asia Pacific
8.4.1. Market estimates and forecasts, 2017 - 2030
8.4.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.3. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4.6. India
8.4.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.6.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.6.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4.7. China
8.4.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.7.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.7.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4.8. Japan
8.4.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.8.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4.9. South Korea
8.4.9.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.9.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.9.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.9.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.4.10. Australia
8.4.10.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.4.10.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.4.10.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.4.10.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.5. Latin America
8.5.1. Market estimates and forecasts, 2017 - 2030
8.5.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.5.3. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.5.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.5.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.5.6. Brazil
8.5.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.5.6.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.5.6.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.5.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.5.7. Mexico
8.5.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.5.7.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.5.7.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.5.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.6. Middle East & Africa
8.6.1. Market estimates and forecasts, 2017 - 2030
8.6.2. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.6.3. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.6.4. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.6.5. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.6.6. Kingdom of Saudi Arabia (KSA)
8.6.6.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.6.6.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.6.6.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.6.6.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.6.7. U.A.E.
8.6.7.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.6.7.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.6.7.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.6.7.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
8.6.8. South Africa
8.6.8.1. Market estimates and forecasts, By Component, 2017 - 2030 (USD Million)
8.6.8.2. Market estimates and forecasts, By Function, 2017 - 2030 (USD Million)
8.6.8.3. Market estimates and forecasts, By Technology, 2017 - 2030 (USD Million)
8.6.8.4. Market estimates and forecasts, By Application, 2017 - 2030 (USD Million)
Chapter 9. RAN Intelligent Controller Market Competitive Landscape
9.1. Key Market Participants
9.1.1. Telefonaktiebolaget LM Ericsson
9.1.2. Nokia
9.1.3. Huawei Technologies Co., Ltd.
9.1.4. ZTE Corporation
9.1.5. SAMSUNG
9.1.6. Cisco Systems, Inc.
9.1.7. Juniper Networks, Inc.
9.1.8. Mavenir
9.1.9. Quectel Wireless Solutions Co., Ltd.
9.1.10. VMware, Inc.
9.2. Key Company Market Share Analysis, 2022
9.3. Company Categorization/Position Analysis, 2022
9.4. Strategic Mapping
9.4.1. Expansion
9.4.2. Acquisition
9.4.3. Collaborations
9.4.4. Product/service launch
9.4.5. Partnerships
9.4.6. Others
List of Tables
Table 1 Global RAN intelligent controller market revenue estimates and forecast, by Component, 2017 - 2030 (USD Million)
Table 2 Global RAN intelligent controller market revenue estimates and forecast, by Function, 2017 - 2030 (USD Million)
Table 3 Global RAN intelligent controller market revenue estimates and forecast, by Technology, 2017 - 2030 (USD Million)
Table 4 Global RAN intelligent controller market revenue estimates and forecast, by Application, 2017 - 2030 (USD Million)
Table 5 Global RAN Intelligent Controller market revenue estimates and forecast, by region, 2017 - 2030 (USD Million)
Table 6 Company heat map analysis
Table 7 Key companies undertaking partnerships and collaboration
Table 8 Key companies launching new product
List of Figures
Fig. 1 RAN intelligent controller market segmentation
Fig. 2 Information procurement
Fig. 3 Data analysis models
Fig. 4 Market formulation and validation
Fig. 5 Data validating & publishing
Fig. 6 Market snapshot
Fig. 7 Segment snapshot (1/2)
Fig. 8 Segment snapshot (2/2)
Fig. 9 Competitive landscape snapshot
Fig. 10 RAN intelligent controller market value, 2017 - 2030 (USD Million)
Fig. 11 RAN intelligent controller market - Industry value chain analysis
Fig. 12 RAN intelligent controller market - Market trends
Fig. 13 RAN intelligent controller market: Porter’s analysis
Fig. 14 RAN intelligent controller market: PESTEL analysis
Fig. 15 RAN intelligent controller market, by Component: Key takeaways
Fig. 16 RAN Intelligent Controller market, by Component: Market share, 2022 & 2030
Fig. 17 Platforms RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 18 Services RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 19 RAN intelligent controller market, by Function: Key takeaways
Fig. 20 RAN Intelligent Controller market, by Function: Market share, 2022 & 2030
Fig. 21 Non-RT RIC (Non-Real-Time-RAN Intelligent Controller) RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 22 Near-RT RIC (Near-Real-Time-RAN Intelligent Controller) RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 23 RAN Intelligent Controller market, by Technology: Key takeaways
Fig. 24 RAN Intelligent Controller market, by Technology: Market share, 2022 & 2030
Fig. 25 4G RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 26 5G RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 27 RAN Intelligent Controller market, by application: Key takeaways
Fig. 28 RAN Intelligent Controller market, by application: Market share, 2022 & 2030
Fig. 29 rApps RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 30 xApps RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 31 Global RAN Intelligent Controller market revenue, by region, 2022 & 2030 (USD Million)
Fig. 32 North America RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 33 U.S. RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 34 Canada RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 35 Europe RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 36 U.K. RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 37 Germany RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 38 France RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 39 Asia Pacific RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 40 India RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 41 China RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 42 Japan RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 43 South Korea RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 44 Australia RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 45 Latin America RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 46 Brazil RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 47 Mexico RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 48 Middle East & Africa RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 49 Kingdom of Saudi Arabia (KSA) RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 50 U.A.E. RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 51 South Africa RAN Intelligent Controller market estimates & forecasts, 2017 - 2030 (USD Million)
Fig. 52 Key company categorization
Fig. 53 RAN intelligent controller market - Key company market share analysis, 2022.
Fig. 54 Strategic framework
Companies Mentioned
- Telefonaktiebolaget LM Ericsson
- Nokia
- Huawei Technologies Co., Ltd.
- ZTE Corporation
- SAMSUNG
- Cisco Systems, Inc.
- Juniper Networks, Inc.
- Mavenir
- Quectel Wireless Solutions Co., Ltd.
- VMware, Inc.
Methodology
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Table Information
| Report Attribute | Details |
|---|---|
| No. of Pages | 120 |
| Published | March 2023 |
| Forecast Period | 2022 - 2030 |
| Estimated Market Value ( USD | $ 137.1 Million |
| Forecasted Market Value ( USD | $ 6071.7 Million |
| Compound Annual Growth Rate | 60.8% |
| Regions Covered | Global |
| No. of Companies Mentioned | 10 |
