Top 10: Analytics Platforms in Telco

The telecommunications industry is undergoing a seismic shift as 5G standalone networks and the explosion of IoT devices generate unprecedented volumes of data.

For modern Communication Service Providers (CSPs), the ability to process this information in real time is no longer a luxury but a fundamental operational requirement. 

Advanced analytics platforms are now the central nervous system of the telco stack, transforming raw network signals into actionable intelligence. 

From reducing customer churn through hyper-personalisation to enabling self-healing autonomous networks, these platforms leverage AI and machine learning to drive efficiency. 

In this week's Top 10, we look at the leading analytics platforms in the telco industry.

10. Subex

• Revenue: US$35m
• CEO: Nisha Dutt
• Founded: 1992

Subex has established itself as a pioneer in AI-led digital trust. 

Its HyperSense platform is a unified data analytics solution that allows communication service providers (CSPs) to make faster, better decisions across the entire data lifecycle. 

By integrating AI and machine learning into business processes, Subex helps operators tackle fraud management, revenue assurance and network analytics. 

The platform is particularly noted for its ability to provide real-time insights that protect margins while enhancing the overall subscriber experience in an increasingly complex digital ecosystem.

9. Microsoft

• Revenue: US$245.1bn
• CEO: Satya Nadella
• Founded: 1975

Microsoft Azure for Operators is a powerhouse in the telco analytics space, leveraging the company’s massive cloud footprint and generative AI capabilities. 

Its analytics tools enable CSPs to gain deep visibility into network performance and customer behaviour. By utilising Azure’s sophisticated data lakes and AI models, operators can automate complex troubleshooting and predictive maintenance. 

Microsoft’s focus on integrating Copilot features into its telco offerings ensures that data is not just stored, but actively used to drive operational efficiency and create new revenue streams.

8. Huawei

• Revenue: US$99bn
• CEO: Ren Zhengfei
• Founded: 1987

As one of the global leaders in infrastructure, Huawei provides deeply integrated analytics through its Intelligent Operations Centre and SmartCare solutions. 

The Chinese giant focuses on bridging the gap between network performance and user experience. 

Its analytics platforms use high-concurrency processing to handle the immense data volumes generated by 5G networks. 

Huawei enables operators to transition from reactive maintenance to proactive network optimisation, ensuring high reliability. 

The company’s platforms are essential for CSPs looking to manage the massive scale of connected devices in the burgeoning IoT sector.

7. IBM

• Revenue: US$61.9bn
• CEO: Arvind Krishna
• Founded: 1911

IBM combines its Watsonx AI platform with deep industry expertise to provide telcos with sophisticated data governance and analytics. 

IBM’s solutions help operators modernise their data architecture, enabling them to extract actionable insights from hybrid cloud environments. 

Its focus on "explainable AI" is a significant differentiator, allowing telcos to understand the logic behind automated decisions in network slicing and customer retention. 

By automating data integration and lifecycle management, IBM ensures that CSPs can scale their analytics capabilities while maintaining strict regulatory compliance and security.

6. Netcracker

• Revenue: US$1bn+ (Est.)
• CEO: Andrew Feinberg
• Founded: 1993

Netcracker Technology, a wholly owned subsidiary of NEC Corporation, specialises in BSS/OSS solutions driven by advanced analytics. 

Its GenAI Telco Solution and data platforms enable CSPs to harness the power of their data to revolutionise customer engagement and operational agility. 

Netcracker’s analytics engine is designed to break down data silos, providing a single source of truth across the business. This allows for hyper-personalised marketing and more efficient network resource allocation, which is vital for operators aiming to monetise their 5G investments through diverse B2B services.

5. Ericsson

• Revenue: US$24bn
• CEO: Börje Ekholm
• Founded: 1876

Ericsson is at the forefront of the autonomous network movement. Its Expert Analytics solution is designed to provide real-time, end-to-end visibility into the subscriber experience. 

By capturing and analysing data from every part of the network, Ericsson helps CSPs identify and resolve issues before they impact the user. 

The platform is highly scalable and supports multi-vendor environments, making it a flexible choice for global operators. 

Ericsson’s focus on intent-based networking and AI-driven automation ensures that networks can self-optimise, reducing OpEx and improving service quality.

4. Nokia

• Revenue: US$20bn
• CEO: Justin Hotard
• Founded: 1865

Nokia’s AVA (Adaptive Virtual Assistant) platform is a standout in the telco analytics market, offering a suite of AI-driven solutions for network operations and customer care. 

Nokia focuses on delivering "intelligence everywhere", utilising machine learning to predict network failures and optimise energy consumption. 

Its analytics tools provide deep insights into network traffic patterns, helping operators manage the demands of 5G more effectively. Nokia’s commitment to open ecosystems and collaborative innovation ensures that their analytics platform remains at the cutting edge of the software-defined telecommunications era.

3. Google Cloud

• Revenue: US$33bn (Cloud division)
• CEO: Thomas Kurian
• Founded: 1998

Google Cloud has rapidly become a dominant force in telco analytics through its BigQuery data warehouse and Vertex AI platform. 

By providing CSPs with the tools to process petabytes of data in real time, Google enables unprecedented levels of operational insight. 

Its "Telecom Data Fabric" helps unify disparate data sources, allowing for sophisticated churn prediction and network optimisation. 

Google’s strength lies in its ability to apply the same data-driven culture that powers its search engine to the complex challenges of the telecommunications industry, driving digital transformation at scale.

2. Oracle

• Revenue: US$57.4bn
• CEO: Clay Magouyrk and Mike Sicilia
• Founded: 1977

Oracle occupies a commanding position in the telco sector by combining its legendary database prowess with cloud-native applications tailored for communications. 

The Oracle Communications analytics portfolio enables operators to leverage massive datasets to improve financial performance and network efficiency. 

Its platform excels at handling complex billing data and network signalling in real time, providing a holistic view of the business. 

With integrated machine learning, Oracle helps CSPs automate fraud detection and personalise customer interactions at an incredible scale. 

Oracle’s focus on security and high-performance computing makes them an essential partner for Tier 1 operators navigating the data-heavy landscape of 5G and beyond.

1. Amdocs

• Revenue: US$4.89bn
• CEO: Shuky Sheffer
• Founded: 1982

Amdocs takes the top spot due to its pure-play focus on the communications and media industry. 

Its Data Intelligence platform is specifically engineered to meet the unique challenges of CSPs, offering a comprehensive suite of analytics, AI and data management tools. Amdocs’ "amdocs.cloud" and its recent advancements in generative AI – through the amAIz framework – allow operators to transform vast amounts of raw data into strategic assets. 

By integrating analytics directly into the BSS/OSS stack, Amdocs provides a seamless flow of intelligence from the network core to the customer interface. 

This vertical expertise ensures that their analytics solutions are not just technologically advanced, but also deeply aligned with the operational realities and revenue goals of modern telecommunications providers. 

Amdocs continues to set the standard for how data can be used to drive agility, innovation and customer loyalty in a hyper-connected world.