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Global RAN Intelligent Controller Market to reach USD 6126.59 million by the end of 2030

Global RAN Intelligent Controller Market Size Study & Forecast, by Component (Platforms, Services), by Function (Non-RT RIC, Near-RT RIC), by Technology (4Gl 5G), by Application (rApps, xApps), and Regional Analysis, 2023-2030

Product Code: ICTNS-29228901
Publish Date: 10-03-2024
Page: 200

Global RAN Intelligent Controller Market is valued at approximately USD 135.71 million in 2022 and is anticipated to grow with a healthy growth rate of more than 61.0% during the forecast period 2023-2030. The RAN Intelligent Controller (RIC) is a centralized software platform in modern Radio Access Networks (RANs) that optimizes network resources, supports real-time adjustments, and enables intelligent automation to enhance network performance and efficiency in 5G. RAN Intelligent Controllers streamline network operations, enhancing performance and simplifying maintenance through automated configuration. Amidst growing network complexity, operators seek efficient management solutions to optimize performance and cut costs. RAN Intelligent Controllers, or RICs, provide advanced control and coordination as it positioned between RAN hardware and core networks, meeting the telecommunications sector’s demand for innovative network optimization solutions. The soaring demand for high-speed, low-latency connections, rising inclination towards open and disaggregated networks, coupled with the increasing requirement to manage and optimize network traffic are the most prominent factors that are propelling the market demand across the globe.

In addition, the increasing demand for high-speed, low-latency connectivity fueled by 5G and future iterations necessitates network intelligence and automation. As per Statista, the 5G wireless connection stood for USD 10 million in 2019 and is expected to grow to USD 1.01 billion by 2023. Also, the 5G network is expected to cover over 40% of world’s population by 2024 and global spending on 5G infrastructure is expected to be USD 2.3 billion in 2021. Thereby, the widespread deployment of 5G networks worldwide is a significant driver for the RAN Intelligent Controller Market owing to the growing need for intelligent controllers to manage and optimize network resources efficiently. Moreover, the rise in the shift towards network virtualization and cloud computing architectures, as well as the growing increasingly focus on optimizing network performance and improving operational efficiency presents various lucrative opportunities over the forecast years. However, the high integration cost and complexity and the rising concerns regarding standardization leading to interoperability across networks are hindering market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global RAN Intelligent Controller Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022 owing to the increasing smartphone adoption and the ongoing development of 5G infrastructure, coupled with the presence of key market players such as Huawei Technologies Co., Ltd., ZTE Corporation and SAMSUNG. As per the GSM Association’s data as of May 2022, 14 countries in the Asia Pacific have already initiated commercial 5G services, with an additional ten countries expected to follow suit by the end of 2025. In March 2022, the Australian government announced the commencement of the second phase of the Australian 5G Innovation Initiative, allocating a USD 16.5 million grant to support businesses in testing and implementing 5G technology projects, thus facilitating technological advancement and innovation. Whereas, North America is expected to grow with a significant CAGR over the forecast years. The presence of advanced technological infrastructure with widespread internet and smartphone usage is significantly propelling the market demand across the region. Additionally, governmental initiatives in the region are poised to drive the expansion of the 5G and RIC (RAN Intelligent Controller) Market. For instance, in April 2021, the Canadian government allocated USD 11.2 million in investment in Redline Communications, subsequently acquired by U.S.-based Aviat Networks, Inc., a prominent wireless technology company. This funding was directed towards the development of wireless technology catering to industries such as oil & gas, utilities, and mining, showcasing the government’s commitment to advancing technological solutions in key sectors.

Major market players included in this report are:
Telefonaktiebolaget LM Ericsson
Nokia Corporation
Huawei Technologies Co., Ltd.
ZTE Corporation
SAMSUNG Electronics Co., Ltd.
Cisco Systems, Inc.
Juniper Networks, Inc.
Broadcom Inc
VIAVI Solutions Inc.

Recent Developments in the Market:
Ø In April 2023, Telefonaktiebolaget LM Ericsson unveiled two innovative O-RAN automation apps (rApps) designed to empower communications service providers in optimizing their operations and elevating network performance. The newly introduced applications, RAN Energy Cockpit and Ericsson RAN Energy Control represent a significant stride towards intelligent automation for telecom firms, prioritizing energy efficiency. Promising up to a 25% reduction in network energy consumption, these apps offer invaluable tools for enhancing operational sustainability and network effectiveness.
Ø In March 2023, Nokia and AT&T collaborated to test novel near real-time RAN Intelligent Controller (RIC) xApps using the E2 interface. The company aimed to illustrate how near real-time RIC is used to enable RAN programmability through this collaboration.
Ø In October 2021, Juniper Networks, Inc., Intel Corporation, and Rakuten Symphony collaborated to introduce Symware, an innovative Open RAN solution engineered to modernize radio cell sites with cutting-edge cloud-native architecture. Symware represents a flexible edge appliance adhering to carrier-grade standards, empowering mobile network operators to enhance network density, accommodate diverse network topologies, and integrate new functionalities, all while reducing the hardware footprint required per site.

Global RAN Intelligent Controller Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Component, Function, Technology, Application, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:

By Function:
Non-RT RIC (Non-Real-Time-RAN Intelligent Controller)
Near-RT RIC (Near-Real-Time-RAN Intelligent Controller)

By Technology:

By Application:

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Million)
1.2.1. RAN Intelligent Controller Market, by Region, 2020-2030 (USD Million)
1.2.2. RAN Intelligent Controller Market, by Component, 2020-2030 (USD Million)
1.2.3. RAN Intelligent Controller Market, by Function, 2020-2030 (USD Million)
1.2.4. RAN Intelligent Controller Market, by Technology, 2020-2030 (USD Million)
1.2.5. RAN Intelligent Controller Market, by Application, 2020-2030 (USD Million)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global RAN Intelligent Controller Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global RAN Intelligent Controller Market Dynamics
3.1. RAN Intelligent Controller Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Widespread deployment of 5G networks worldwide Increasing requirement to manage and optimize network traffic
3.1.2. Market Challenges High integration cost and complexity Rising concerns regarding standardization leading to interoperability across networks
3.1.3. Market Opportunities Rise in the shift towards network virtualization and cloud computing architectures Growing increasingly focused on optimizing network performance and improving operational efficiency
Chapter 4. Global RAN Intelligent Controller Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global RAN Intelligent Controller Market, by Component
5.1. Market Snapshot
5.2. Global RAN Intelligent Controller Market by Component, Performance – Potential Analysis
5.3. Global RAN Intelligent Controller Market Estimates & Forecasts by Component 2020-2030 (USD Million)
5.4. RAN Intelligent Controller Market, Sub Segment Analysis
5.4.1. Platforms
5.4.2. Services
Chapter 6. Global RAN Intelligent Controller Market, by Function
6.1. Market Snapshot
6.2. Global RAN Intelligent Controller Market by Function, Performance – Potential Analysis
6.3. Global RAN Intelligent Controller Market Estimates & Forecasts by Function 2020-2030 (USD Million)
6.4. RAN Intelligent Controller Market, Sub Segment Analysis
6.4.1. Non-RT RIC (Non-Real-Time-RAN Intelligent Controller)
6.4.2. Near-RT RIC (Near-Real-Time-RAN Intelligent Controller)
Chapter 7. Global RAN Intelligent Controller Market, by Technology
7.1. Market Snapshot
7.2. Global RAN Intelligent Controller Market by Technology, Performance – Potential Analysis
7.3. Global RAN Intelligent Controller Market Estimates & Forecasts by Technology 2020-2030 (USD Million)
7.4. RAN Intelligent Controller Market, Sub Segment Analysis
7.4.1. 4G
7.4.2. 5G
Chapter 8. RAN Intelligent Controller Market, by Application
8.1. Market Snapshot
8.2. Global RAN Intelligent Controller Market by Application, Performance – Potential Analysis
8.3. Global RAN Intelligent Controller Market Estimates & Forecasts by Application 2020-2030 (USD Million)
8.4. RAN Intelligent Controller Market, Sub Segment Analysis
8.4.1. rApps
8.4.2. xApps
Chapter 9. Global RAN Intelligent Controller Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. RAN Intelligent Controller Market, Regional Market Snapshot
9.4. North America RAN Intelligent Controller Market
9.4.1. U.S. RAN Intelligent Controller Market Component breakdown estimates & forecasts, 2020-2030 Function breakdown estimates & forecasts, 2020-2030 Technology breakdown estimates & forecasts, 2020-2030 Application breakdown estimates & forecasts, 2020-2030
9.4.2. Canada RAN Intelligent Controller Market
9.5. Europe RAN Intelligent Controller Market Snapshot
9.5.1. U.K. RAN Intelligent Controller Market
9.5.2. Germany RAN Intelligent Controller Market
9.5.3. France RAN Intelligent Controller Market
9.5.4. Spain RAN Intelligent Controller Market
9.5.5. Italy RAN Intelligent Controller Market
9.5.6. Rest of Europe RAN Intelligent Controller Market
9.6. Asia-Pacific RAN Intelligent Controller Market Snapshot
9.6.1. China RAN Intelligent Controller Market
9.6.2. India RAN Intelligent Controller Market
9.6.3. Japan RAN Intelligent Controller Market
9.6.4. Australia RAN Intelligent Controller Market
9.6.5. South Korea RAN Intelligent Controller Market
9.6.6. Rest of Asia Pacific RAN Intelligent Controller Market
9.7. Latin America RAN Intelligent Controller Market Snapshot
9.7.1. Brazil RAN Intelligent Controller Market
9.7.2. Mexico RAN Intelligent Controller Market
9.8. Middle East & Africa RAN Intelligent Controller Market
9.8.1. Saudi Arabia RAN Intelligent Controller Market
9.8.2. South Africa RAN Intelligent Controller Market
9.8.3. Rest of Middle East & Africa RAN Intelligent Controller Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Telefonaktiebolaget LM Ericsson Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Nokia Corporation
10.3.3. Huawei Technologies Co., Ltd.
10.3.4. ZTE Corporation
10.3.5. SAMSUNG Electronics Co., Ltd.
10.3.6. Cisco Systems, Inc.
10.3.7. Juniper Networks, Inc.
10.3.8. Mavenir
10.3.9. Broadcom Inc.
10.3.10. VIAVI Solutions Inc.
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
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Critical elements of methodology employed for all our studies include:
Data Collection:
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In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
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Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
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