B2B Telecom Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, 2021-2031

The Global B2B Telecom Analytics Market is projected to expand from USD 82.52 Billion in 2025 to USD 200.22 Billion by 2031, registering a CAGR of 15.92%. This sector comprises specialized software and data processing frameworks that enable telecommunication operators to extract actionable insights from network usage data for their enterprise clients. The market is fundamentally underpinned by the necessity for operational efficiency and the obligation to guarantee rigorous service reliability for corporate customers. Operators leverage these tools to enhance infrastructure performance and mitigate churn by identifying and resolving connectivity issues before they disrupt business operations. Consequently, the enduring demand for service assurance and cost reduction acts as the primary market driver, operating independently of passing technological trends.

However, a major obstacle hindering market growth is the difficulty of integrating sophisticated analytics with legacy network systems, where disparate data silos frequently obstruct the seamless information flow required for real-time decision-making. According to TM Forum, the average level of autonomy across network domains in 2024 stood at merely 1.9 on their maturity scale, with only 6 percent of service providers attaining Level 4 autonomy. This statistic underscores the significant technical hurdles that restrict the immediate scalability of fully automated analytical solutions within the global telecommunications industry.

Market Drivers

The accelerated rollout of 5G networks and network slicing capabilities is forcing operators to implement advanced analytics to manage virtualized infrastructure effectively. Unlike legacy architectures, 5G Standalone (SA) facilitates network slicing, enabling operators to provide dedicated logical networks with guaranteed performance metrics for enterprise clients.

This architectural transition creates substantial operational complexity, as every slice demands continuous monitoring to uphold strict Service Level Agreements (SLAs) regarding latency and throughput. According to the 'Ericsson Mobility Report' from June 2024, approximately 50 service providers worldwide have commercially launched 5G Standalone (SA) networks. As these deployments increase, the dependence on real-time analytics will deepen to ensure that specific industrial applications, such as remote-control robotics or smart grids, receive necessary bandwidth without manual intervention, thereby safeguarding high-value B2B revenue streams.

Simultaneously, the integration of AI and machine learning for predictive insights is becoming crucial to manage the exponential surge in telemetry data produced by modern networks. Operators are transitioning from static reporting to deploying algorithms that can detect anomalies and predict outages, subsequently minimizing downtime for essential business operations.

This shift is necessitated by the magnitude of usage; Ericsson reported in 2024 that mobile network data traffic increased by 25 percent year-on-year between March 2023 and March 2024. To address this load efficiently, telecom providers are incorporating generative AI into operational workflows to automate root cause analysis and network optimization. According to NVIDIA's 'State of AI in Telecommunications 2024 Trends' report from February 2024, 48 percent of telecom respondents indicated they are using generative AI specifically for network operations and management, signaling a permanent move toward self-healing networks where analytics function as the central nervous system for service assurance.

Market Challenges

The technical intricacy involved in integrating modern analytical frameworks with entrenched legacy network infrastructures serves as a critical barrier to the Global B2B Telecom Analytics Market. Telecommunication operators often contend with vast, fragmented data silos that are incompatible with centralized analytical tools. This structural rigidity inhibits the seamless aggregation of network usage data necessary for real-time processing, effectively neutralizing the core value proposition of providing immediate service assurance and connectivity optimization.

As a result, this integration hurdle stifles market growth by prolonging deployment timelines and diminishing the return on investment for enterprise clients. When analytics solutions are unable to effectively access or correlate data across disparate legacy domains, operators cannot deliver the actionable insights promised to B2B customers, leading to hesitation regarding broader adoption. This operational disconnect is reflected in recent industry performance; according to the TM Forum, while 71 percent of telecom leaders had established an AI and analytics roadmap in 2024, only 22 percent had realized measurable business impact. This substantial gap demonstrates that despite strong demand, the market's actual expansion is strictly constrained by the inability to scale these tools across outdated technical environments.

Market Trends

The convergence of network performance monitoring with cybersecurity analytics is rising as a pivotal trend as operators encounter sophisticated threats that simulate legitimate traffic patterns. Traditionally managed in separate silos, the Network Operations Center (NOC) and Security Operations Center (SOC) are now being integrated to detect volumetric attacks that abuse high-bandwidth 5G pipes. This unified analytical strategy enables providers to differentiate between genuine surges in enterprise usage and malicious activities in real-time, thereby averting service degradation that could breach strict B2B contracts. The necessity of this integration is highlighted by the intensifying threat landscape; according to Nokia's 'Threat Intelligence Report 2024' released in October 2024, the frequency of Distributed Denial of Service (DDoS) attacks escalated from one or two daily to well over 100 per day in many networks between June 2023 and June 2024.

Concurrently, the rise of green analytics is revolutionizing how operators manage power consumption to satisfy sustainability mandates without sacrificing network quality. As data traffic volumes soar, telecom providers are deploying specialized analytics engines to dynamically regulate power usage in Radio Access Networks (RAN) and data centers in alignment with real-time traffic demand. These tools facilitate the granular measurement of carbon emissions per unit of data, permitting operators to optimize their energy footprint while upholding high-throughput services for industrial clients. This emphasis on efficiency is delivering tangible outcomes; according to the GSMA's 'Mobile Net Zero 2024: State of the Industry on Climate Action' report from February 2024, the energy intensity of data transmission decreased by an average of 10 to 20 percent annually between 2019 and 2022, underscoring the effectiveness of data-driven energy management strategies.

Key Players Profiled in the B2B Telecom Analytics Market

• 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

Report Scope

In this report, the Global B2B Telecom Analytics Market has been segmented into the following categories:

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
• Europe
• Asia-Pacific
• South America
• Middle East & Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global B2B Telecom Analytics Market.

Available Customization

The analyst offers customization according to your specific needs. The following customization options are available for the report:

• Detailed analysis and profiling of additional market players (up to five).

This product will be delivered within 1-3 business days.