B2B Telecom Analytics Market – Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), By Deployment Mode (On-premises, Cloud-based, Hybrid), By Enterprise Size (Large Enterprises, SMEs), By Industry Vertical (IT & Telecommunications, BFSI, Retail, Healthcare, Manufacturing, Others), By Region and Competition, 2021-2031F

Forecast Period	2027-2031
Market Size (2025)	USD 82.52 Billion
CAGR (2026-2031)	15.92%
Fastest Growing Segment	SMEs
Largest Market	North America
Market Size (2031)	USD 200.22 Billion

Market Overview

The Global B2B Telecom Analytics Market will grow from USD 82.52 Billion in 2025 to USD 200.22 Billion by 2031 at a 15.92% CAGR. B2B Telecom Analytics encompasses specialized software and data processing frameworks used by telecommunication operators to derive actionable insights from network usage for enterprise clients. The market is primarily supported by the critical need for operational efficiency and the requirement to ensure rigorous service reliability for corporate customers. Operators utilize these tools to optimize infrastructure performance and minimize churn by proactively resolving connectivity issues before they impact business operations. This consistent demand for service assurance and cost reduction constitutes the fundamental driver of the market, functioning independently of transient technological trends.

A significant challenge impeding market expansion involves the complexity of integrating advanced analytics with legacy network systems. Disparate data silos often prevent the seamless information flow necessary for real-time analysis and decision making. According to TM Forum, in 2024, the average level of autonomy across network domains remained at 1.9 on their maturity scale, with only 6 percent of service providers achieving Level 4 autonomy. This statistic highlights the substantial technical barriers that limit the immediate scalability of fully automated analytical solutions within the global telecommunications sector.

Key Market Drivers

The rapid deployment of 5G networks and network slicing capabilities compels operators to adopt advanced analytics for managing virtualized infrastructure. Unlike legacy architectures, 5G Standalone (SA) enables network slicing, allowing operators to provision dedicated logical networks with guaranteed performance metrics for enterprise clients. This architectural shift introduces significant operational complexity, as each slice requires continuous monitoring to maintain strict Service Level Agreements (SLAs) regarding latency and throughput. According to Ericsson, June 2024, in the 'Ericsson Mobility Report', about 50 service providers globally have launched commercial 5G Standalone (SA) networks. As this deployment figure rises, the reliance on real-time analytics will intensify to ensure that specific industrial applications, such as remote control robotics or smart grids, receive the requisite bandwidth without manual intervention, thereby securing high-value B2B revenue streams.

Increasing integration of AI and machine learning for predictive insights is becoming essential to handle the exponential growth in telemetry data generated by modern networks. Operators are moving beyond static reporting to deploy algorithms capable of identifying anomalies and predicting outages, thereby reducing downtime for critical business operations. This evolution is driven by the sheer scale of usage; according to Ericsson, in 2024, mobile network data traffic grew 25 percent year-on-year between March 2023 and March 2024. To manage this load efficiently, telecom providers are embedding generative AI into their operational workflows to automate root cause analysis and network optimization. According to NVIDIA, February 2024, in the 'State of AI in Telecommunications 2024 Trends' report, 48 percent of telecom respondents reported utilizing generative AI specifically for network operations and management. This trend indicates a permanent shift toward self-healing networks where analytics serve as the central nervous system for service assurance.

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Key Market Challenges

The technical complexity of integrating modern analytical frameworks with entrenched legacy network infrastructures acts as a severe impediment to the Global B2B Telecom Analytics Market. Telecommunication operators frequently manage vast, fragmented data silos that are incompatible with centralized analytical tools. This structural rigidity prevents the seamless aggregation of network usage data required for real-time processing, thereby neutralizing the core value proposition of immediate service assurance and connectivity optimization.

Consequently, this integration barrier stifles market growth by extending deployment timelines and reducing the return on investment for enterprise clients. When analytics solutions cannot effectively access or correlate data across disparate legacy domains, operators fail to deliver the actionable insights promised to B2B customers, causing hesitation in broader adoption. This operational disconnect is evident in recent industry performance; according to the TM Forum, in 2024, while 71 percent of telecom leaders had established an AI and analytics roadmap, only 22 percent had achieved measurable business impact. This significant gap indicates that despite high demand, the market's actual expansion is strictly limited by the inability to scale these tools across outdated technical environments.

Key Market Trends

The convergence of network performance monitoring with cybersecurity analytics is emerging as a critical trend as operators face sophisticated threats that mimic legitimate traffic patterns. Traditionally managed in separate silos, the Network Operations Center (NOC) and Security Operations Center (SOC) are being integrated to detect volumetric attacks that exploit high-bandwidth 5G pipes. This unified analytical approach allows providers to distinguish between genuine surges in enterprise usage and malicious activities in real-time, thereby preventing service degradation that could violate strict B2B contracts. The urgency of this integration is underscored by the escalating threat landscape; according to Nokia, October 2024, in the 'Threat Intelligence Report 2024', the frequency of Distributed Denial of Service (DDoS) attacks increased from one or two daily to well over 100 per day in many networks between June 2023 and June 2024.

Concurrently, the emergence of green analytics is transforming how operators manage power consumption to meet sustainability mandates without compromising network quality. As data traffic volumes explode, telecom providers are deploying specialized analytics engines to dynamically adjust power usage in Radio Access Networks (RAN) and data centers based on real-time traffic demand. These tools enable the granular measurement of carbon emissions per unit of data, allowing operators to optimize their energy footprint while maintaining high-throughput services for industrial clients. This focus on efficiency is yielding tangible results; according to the GSMA, February 2024, in the 'Mobile Net Zero 2024: State of the Industry on Climate Action' report, the energy intensity of data transmission fell by an average of 10 to 20 percent per year between 2019 and 2022, highlighting the effectiveness of data-driven energy management strategies.

Segmental Insights

The Small and Medium-sized Enterprises segment is emerging as the fastest-growing category in the Global B2B Telecom Analytics Market due to the rising adoption of cost-effective cloud-based solutions. These deployment models have significantly lowered entry barriers, enabling smaller organizations to leverage data for improved decision-making without requiring heavy capital investment. Additionally, SMEs are increasingly utilizing analytics to streamline operations and manage telecommunications expenses more effectively amidst a competitive business environment. This shift towards data-driven strategies for resource optimization and customer retention highlights the critical role of SMEs in driving market momentum.

Regional Insights

North America maintains a leading position in the Global B2B Telecom Analytics market, driven by the rapid integration of 5G infrastructure and cloud-based solutions across the United States and Canada. This dominance is supported by the extensive presence of major technology providers and significant capital allocation toward network modernization. Additionally, regulatory stability provided by institutions such as the Federal Communications Commission fosters a conducive environment for continuous technological advancement. Consequently, telecom operators in the region heavily utilize analytics to streamline operations and manage increasing data volumes efficiently, thereby securing the region's significant market share.

Recent Developments

• In October 2024, Subex announced a multi-year partnership with Tele2 Group to enhance the operator's fraud management operations. Tele2 selected Subex's AI-first fraud management solution, built on the HyperSense platform, for deployment across its markets in Sweden and the Baltic states. This collaboration aims to centralize the operator's fraud defense mechanisms, enabling real-time detection and mitigation of evolving security threats. The solution provides scalable data processing capabilities, allowing Tele2 to safeguard its business operations and customers while minimizing data duplication and maintenance efforts through advanced analytics and automated workflows.
• In October 2024, Ericsson launched a suite of seven new software products designed to enable high-performing, programmable networks for communication service providers. This new offering, part of the 5G Advanced portfolio, includes an AI-powered radio access network (RAN) solution that utilizes artificial intelligence and automation for real-time data processing and intelligent decision-making. These tools allow operators to steer network behavior to match specific business goals and service-level agreements. The launch aims to help telecom providers drive revenue growth and operational efficiency by leveraging open network architectures and intent-driven networking capabilities.
• In June 2024, Amdocs announced an expanded collaboration with Google Cloud to accelerate data transformations for communications service providers (CSPs). The partnership involves integrating Amdocs' AI and Data Platform with Google Cloud's unified, AI-ready data analytics capabilities. This integration allows telecom operators to create a standardized, real-time data source across their business and operational systems. The joint solution enables CSPs to leverage advanced analytics and generative AI to generate actionable business insights, improve operational efficiency, and deliver personalized customer experiences while ensuring data security and compliance within the cloud environment.
• In February 2024, Nokia and NVIDIA announced a strategic collaboration to revolutionize radio access networks (RAN) through artificial intelligence. Unveiled at a major industry event, this partnership focuses on integrating Nokia's RAN software and Layer 1 acceleration with NVIDIA's specialized processors and computing platforms. The initiative aims to deliver AI-driven RAN solutions that enhance network performance and energy efficiency. By combining their respective strengths in telecommunications and computing, the companies intend to pave the way for future networks that leverage deep learning for optimized signal processing and resource management.

Key Market Players

• IBM Corporation
• Oracle Corporation
• SAP SE
• Cisco Systems, Inc.
• Nokia Corporation
• Hewlett Packard Enterprise Development LP
• Ericsson AB
• SAS Institute Inc.
• Teradata Corporation
• Accenture PLC
• Subex Limited
• Amdocs Limited

By Analytics Type	By Deployment Mode	By Enterprise Size	By Industry Vertical	By Region
Descriptive Analytics Predictive Analytics Prescriptive Analytics	On-premises Cloud-based Hybrid	Large Enterprises SMEs	IT & Telecommunications BFSI Retail Healthcare Manufacturing Others	North America Europe Asia Pacific South America Middle East & Africa

Report Scope:

In this report, the Global B2B Telecom Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

• B2B Telecom Analytics Market, By Analytics Type:

• Descriptive Analytics
• Predictive Analytics
• Prescriptive Analytics

• B2B Telecom Analytics Market, By Deployment Mode:

• On-premises
• Cloud-based
• Hybrid

• B2B Telecom Analytics Market, By Enterprise Size:

• Large Enterprises
• SMEs

• B2B Telecom Analytics Market, By Industry Vertical:

• IT & Telecommunications
• BFSI
• Retail
• Healthcare
• Manufacturing
• Others

• B2B Telecom Analytics Market, By Region:

• North America
• United States
• Canada
• Mexico
• Europe
• France
• United Kingdom
• Italy
• Germany
• Spain
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• South America
• Brazil
• Argentina
• Colombia
• Middle East & Africa
• South Africa
• Saudi Arabia
• UAE