Edge Observability for Radio Access Network (RAN) Market Report 2026

The edge observability for radio access network (ran) market size has grown exponentially in recent years. It will grow from $2.01 billion in 2025 to $2.44 billion in 2026 at a compound annual growth rate (CAGR) of 21.5%. The growth in the historic period can be attributed to rapid 4G and early 5G rollouts, need to reduce network downtime, growth of distributed edge infrastructure, increasing complexity of multi-vendor RAN, demand for better QoS and customer experience.

The edge observability for radio access network (ran) market size is expected to see exponential growth in the next few years. It will grow to $5.27 billion in 2030 at a compound annual growth rate (CAGR) of 21.2%. The growth in the forecast period can be attributed to expansion of standalone 5G networks, wider adoption of Open RAN architectures, increased use of predictive analytics for outages, integration with network slicing observability, growth of cloud-native RAN management platforms. Major trends in the forecast period include AI-driven ran performance analytics, closed-loop fault remediation automation, observability for open ran deployments, edge-native service assurance, security and compliance monitoring for ran edge.

The increasing sophistication of cyber threats is expected to propel the growth of the edge observability for radio access network (RAN) market going forward. Cyber threats refer to malicious attempts by individuals or groups to damage, disrupt, or gain unauthorized access to computer systems, networks, or data, including hacking, malware, phishing, ransomware, and other activities that compromise cybersecurity. The rise in cyber threats is largely driven by rapid technological advancements, which provide attackers with more powerful tools to exploit vulnerabilities, making cyberattacks more complex and harder to detect or prevent. Edge observability for RAN enhances cybersecurity by providing real-time monitoring, detecting anomalies, and enabling rapid threat response across radio access networks, minimizing vulnerabilities and preventing potential cyberattacks. For instance, in November 2024, according to the Australian Signals Directorate (ASD), over the past year, the organization handled more than 1,100 cybersecurity incidents, issued 930 alerts, and blocked 82 million malicious domains. Cyber threat intelligence sharing increased by 66%, reaching over 400 partners and distributing 1,372,400 indicators of compromise. Therefore, the increasing sophistication of cyber threats is driving the growth of the edge observability for RAN market.

Key companies operating in the edge observability for RAN market are focusing on innovative technologies such as automated code generation to enhance network performance, reduce operational complexity, and accelerate deployment of advanced RAN services. Automated code generation refers to the use of software tools or artificial intelligence to automatically create computer code from high-level specifications, designs, or models, reducing manual coding effort, speeding development, and minimizing human errors. For instance, in February 2024, Aira Technologies Inc., a US-based AI-native company, partnered with Tech Mahindra Limited, an India-based technology services company, to unveil RANGPT at MWC 2024, the world’s first GenAI-based utility for RAN observability, analysis, control, and automation. The solution enables mobile network operators to interact with the RAN using conversational language, facilitating rapid experimentation and deployment of network optimizations, streamlining operations, enhancing performance, and reducing operational costs.

In September 2023, Cisco Systems, Inc., a US-based multinational technology company, acquired Splunk Inc. for an undisclosed amount. Through this acquisition, Cisco Systems, Inc. aims to strengthen its cybersecurity and observability portfolio by integrating Splunk Inc.’s advanced data analytics and monitoring capabilities, enabling organizations to gain deeper insights, detect threats faster, and improve operational efficiency across complex IT environments. The acquisition positions Cisco to offer more comprehensive solutions for modern enterprise challenges and accelerates innovation in cloud, security, and AI-driven operations. Splunk Inc. is a US-based software company providing edge observability for RAN.

Major companies operating in the edge observability for radio access network (ran) market are Telefonaktiebolaget LM Ericsson, Huawei Technologies Co., Ltd., ZTE Corporation, Samsung Electronics Co. Ltd., NEC CORPORATION INDIA PRIVATE LIMITED, Parallel Wireless Inc., VIAVI Solutions Inc., Keysight Technologies Inc., Amdocs Limited, EXFO Inc., NetScout Systems Inc., Ribbon Communications Inc., Nippon Telegraph and Telephone Corporation, International Business Machines Corporation, Cisco Systems Inc., Hewlett Packard Enterprise Company, Reliance Jio Infocomm Limited, Intel Corporation, Rakuten Symphony Inc., Ciena Corporation.

North America was the largest region in the edge observability for radio access network (RAN) market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the edge observability for radio access network (ran) market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the edge observability for radio access network (ran) market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Tariffs have created both challenges and opportunities for the edge observability for RAN market by increasing the cost of importing edge servers, network appliances, sensors, and specialized hardware used to monitor distributed radio access networks. These cost pressures can slow observability upgrades for telecom operators, particularly in North America and Europe where supply chains depend on Asia-Pacific manufacturing for compute and networking components. Hardware-heavy segments such as on-premises edge monitoring appliances, gateways, and network analytics hardware are most affected due to longer lead times and higher capital expenditure. However, tariffs are also accelerating adoption of cloud-based observability platforms, encouraging regional sourcing, and driving software optimization to reduce compute requirements at the edge. Vendors are enhancing automation, strengthening AI analytics, and offering managed services to help operators improve reliability while controlling total cost of ownership.

The edge observability for radio access network (ran) market research report is one of a series of new reports that provides edge observability for radio access network (ran) market statistics, including edge observability for radio access network (ran) industry global market size, regional shares, competitors with a edge observability for radio access network (ran) market share, detailed edge observability for radio access network (ran) market segments, market trends and opportunities, and any further data you may need to thrive in the edge observability for radio access network (ran) industry. This edge observability for radio access network (ran) market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

Edge observability for radio access network (RAN) is the practice of monitoring, analyzing, and optimizing the performance of radio access networks deployed at the network edge. It utilizes real-time data collection, analytics, and automation to provide visibility into distributed RAN components and edge environments. This approach enables proactive detection of issues, enhanced network reliability, and efficient resource utilization across edge and RAN infrastructures.

The key components of edge observability for radio access network (RAN) are software, hardware, and services. Edge observability involves monitoring, analyzing, and managing the performance, health, and security of distributed edge computing infrastructure and applications in real time to ensure optimal operation and rapid issue resolution. The various network types include 5G, 4G, and LTE. These are deployed through deployment modes such as on-premises and cloud. They are used in applications such as network performance monitoring, fault management, security and compliance, and service assurance. These solutions are used by end users including telecom operators, enterprises, and cloud service providers.

The edge observability for radio access network (RAN) market consists of revenues earned by entities by providing services such as installation and integration services, network optimization services, managed services, support and maintenance services, and consulting and training services. The market value includes the value of related goods sold by the service provider or included within the service offering. The edge observability for radio access network (RAN) also includes sales of edge servers, network probes, baseband units, monitoring appliances, and analytics hardware. Values in this market are ‘factory gate’ values; that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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