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市场调查报告书
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1953561

B2B电信分析市场－全球产业规模、份额、趋势、机会及预测（依分析类型、部署模式、公司规模、产业垂直领域、地区及竞争格局划分，2021-2031年）

B2B Telecom Analytics Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, Segmented By Analytics Type, By Deployment Mode, By Enterprise Size, By Industry Vertical, By Region & Competition, 2021-2031F
出版日期: | 出版商: TechSci Research | 英文 180 Pages | 商品交期: 2-3个工作天内

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简介目录

全球 B2B 电信分析市场预计将从 2025 年的 825.2 亿美元成长到 2031 年的 2,002.2 亿美元，复合年增长率为 15.92%。

此细分市场包含专用软体和资料处理框架，使通讯业者能够从网路使用资料中提取可操作的洞察，从而服务其企业客户。市场成长的驱动力在于提高营运效率的需求以及保障企业客户服务可靠性的严格义务。营运商利用这些工具来提升基础设施效能，并透过在连接问题影响营运之前识别并解决这些问题来降低客户流失流失率。因此，对服务保障和成本降低的持续需求是市场的主要驱动因素，且不受暂时性技术趋势的影响。

市场概览
预测期 2027-2031
市场规模：2025年 825.2亿美元
市场规模：2031年 2002.2亿美元
复合年增长率：2026-2031年 15.92%
成长最快的细分市场 小型企业
最大的市场 北美洲

然而，市场成长的一大障碍在于难以将高阶分析功能与传统网路系统整合。分散的资料孤岛普遍存在，阻碍了即时决策所需的资讯无缝流动。根据TM Forum预测，到2024年，网路域的平均自主等级在成熟度等级中仅为1.9级，只有6%的服务供应商能够达到4级自主水准。这项数据凸显了全球通讯业在实现全自动分析解决方案方面面临的重大技术障碍，这些障碍限制了即时扩充性。

市场驱动因素

5G网路和网路切片功能的快速部署正迫使营运商采用先进的分析技术来有效管理其虚拟化基础设施。与传统架构不同，5G独立组网（SA）支援网路切片，使营运商能够为企业客户提供具有效能指标保证的专用逻辑网路。这种架构转型显着增加了营运复杂性，因为每个切片都需要持续监控，以维持严格的延迟和吞吐量服务等级协定（SLA）。根据爱立信2024年6月发布的《行动报告》，全球约有50家服务供应商已部署商用5G独立网路（SA）网路。随着这些部署的推进，某些工业应用，例如远端控制机器人和智慧电网，将越来越依赖即时分析来确保在无需人工干预的情况下获得所需的频宽，从而保障高价值的B2B收入来源。

同时，将人工智慧和机器学习技术相结合，以获取预测性洞察，对于管理现代网路产生的遥测资料呈指数级增长至关重要。通讯业者正从静态报告转向部署能够侦测异常和预测故障的演算法，从而最大限度地减少关键业务的停机时间。这种转变是由不断增长的使用量所驱动的。根据爱立信2024年的报告，2023年3月至2024年3月期间，行动网路数据流量较去年同期成长25%。为了有效率地应对此负载，通讯业者正在将生成式人工智慧融入其营运工作流程，以实现根本原因分析和网路优化的自动化。英伟达于2024年2月发布的《2024年电信产业现况及趋势》报告显示，48%的受访通讯业者表示已将生成式人工智慧专门用于网路营运与管理，这标誌着电信业正永久地朝向自癒网路转型，其中分析功能将成为服务保障的中枢神经系统。

市场挑战

全球B2B电信分析市场面临的一大障碍是，将现代分析架构与现有传统网路基础设施整合的技术复杂性。通讯业者常常面临庞大且分散的资料孤岛，这些资料孤岛与集中式分析工具不相容。这种结构上的僵化阻碍了即时处理所需的网路使用资料的无缝聚合，从而有效地抵消了即时服务保障和连接优化这一核心价值提案。

因此，这种整合障碍会延长企业客户的采用时间并降低其投资报酬率，从而阻碍市场成长。当分析解决方案无法有效存取或关联来自不同传统领域的资料时，营运商就无法向其B2B客户提供他们承诺的可操作洞察，导致客户对更广泛地采用这些解决方案犹豫不决。这种营运脱节也反映在近期的产业表现：根据TM Forum的数据显示，截至2024年，71%的通讯业领导者已製定了人工智慧和分析蓝图，但只有22%实现了可衡量的业务收益。这种显着的脱节表明，儘管需求强劲，但由于无法在传统技术环境中扩展这些工具，市场扩张受到了严重限制。

市场趋势

随着通讯业者面临能够模仿合法流量模式的复杂威胁，网路效能监控与网路安全分析的整合正成为关键趋势。传统上各自独立管理的网路营运中心 (NOC) 和安全运行中心(SOC) 正在整合，以侦测利用高频宽5G 网路发动的大规模攻击。这种整合分析策略使营运商能够即时区分合法的业务流量高峰和恶意活动，从而避免可能违反严格 B2B 协定的服务降级。日益严峻的威胁环境凸显了这种整合的必要性。根据诺基亚于 2024 年 10 月发布的《2024 年威胁情报报告》，在 2023 年 6 月至 2024 年 6 月期间，许多网路遭受的分散式阻断服务 (DDoS) 攻击频率从每天一到两次激增至每天超过 100 次。

同时，绿色分析技术的兴起正在革新电力消耗管理方式，使通讯业者能够在不牺牲网路品质的前提下满足永续性的要求。随着资料流量的激增，通讯业者正在无线接取网路(RAN) 和资料中心部署专用分析引擎，以便根据即时流量需求动态调整电力使用。这些工具能够详细测量单位数据的碳排放，帮助营运商在为工业客户提供高吞吐量服务的同时优化能源使用。这种对效率的关注正在带来切实可见的成果。根据 GSMA 于 2024 年 2 月发布的《2024 年行动净零排放：产业气候行动现况》报告，预计 2019 年至 2022 年间，数据传输的能耗强度将平均每年下降 10% 至 20%，这充分证明了数据驱动型能源管理策略的有效性。

目录

第一章概述

第二章调查方法

第三章执行摘要

第四章：客户评价

第五章 全球B2B电信分析市场展望

  • 市场规模及预测
    • 按金额
  • 市占率及预测
    • 依分析类型（说明、预测性、指示性分析）
    • 依部署类型（本机部署、云端部署、混合式部署）
    • 按公司规模（大型公司、中小企业）
    • 按行业划分（IT/电信、银行、金融服务和保险、零售、医疗、製造业、其他）
    • 按地区
    • 按公司（2025 年）
  • 市场地图

6. 北美B2B电信市场展望

  • 市场规模及预测
  • 市占率及预测
  • 北美洲：国家分析
    • 我们
    • 加拿大
    • 墨西哥

7. 欧洲B2B电信市场展望

  • 市场规模及预测
  • 市占率及预测
  • 欧洲：国家分析
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙

8. 亚太地区B2B电信市场展望

  • 市场规模及预测
  • 市占率及预测
  • 亚太地区：国家分析
    • 中国
    • 印度
    • 日本
    • 韩国
    • 澳洲

9. 中东与非洲B2B电信市场展望分析

  • 市场规模及预测
  • 市占率及预测
  • 中东和非洲：国家分析
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 南非

第十章：南美B2B电信市场展望分析

  • 市场规模及预测
  • 市占率及预测
  • 南美洲：国家分析
    • 巴西
    • 哥伦比亚
    • 阿根廷

第十一章 市场动态

  • 司机
  • 任务

第十二章 市场趋势与发展

  • 併购
  • 产品发布
  • 最新进展

第十三章 全球B2B电信分析市场：SWOT分析

第十四章：波特五力分析

  • 产业竞争
  • 新进入者的可能性
  • 供应商电力
  • 顾客权力
  • 替代品的威胁

第十五章 竞争格局

  • 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

第十六章 策略建议

第十七章：关于研究公司及免责声明

简介目录
Product Code: 24764

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.

Market Overview
Forecast Period2027-2031
Market Size 2025USD 82.52 Billion
Market Size 2031USD 200.22 Billion
CAGR 2026-203115.92%
Fastest Growing SegmentSMEs
Largest MarketNorth America

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 Driver

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 Challenge

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 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

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

Competitive Landscape

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

Available Customizations:

Global B2B Telecom Analytics Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

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

Table of Contents

1. Product Overview

  • 1.1. Market Definition
  • 1.2. Scope of the Market
    • 1.2.1. Markets Covered
    • 1.2.2. Years Considered for Study
    • 1.2.3. Key Market Segmentations

2. Research Methodology

  • 2.1. Objective of the Study
  • 2.2. Baseline Methodology
  • 2.3. Key Industry Partners
  • 2.4. Major Association and Secondary Sources
  • 2.5. Forecasting Methodology
  • 2.6. Data Triangulation & Validation
  • 2.7. Assumptions and Limitations

3. Executive Summary

  • 3.1. Overview of the Market
  • 3.2. Overview of Key Market Segmentations
  • 3.3. Overview of Key Market Players
  • 3.4. Overview of Key Regions/Countries
  • 3.5. Overview of Market Drivers, Challenges, Trends

4. Voice of Customer

5. Global B2B Telecom Analytics Market Outlook

  • 5.1. Market Size & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share & Forecast
    • 5.2.1. By Analytics Type (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics)
    • 5.2.2. By Deployment Mode (On-premises, Cloud-based, Hybrid)
    • 5.2.3. By Enterprise Size (Large Enterprises, SMEs)
    • 5.2.4. By Industry Vertical (IT & Telecommunications, BFSI, Retail, Healthcare, Manufacturing, Others)
    • 5.2.5. By Region
    • 5.2.6. By Company (2025)
  • 5.3. Market Map

6. North America B2B Telecom Analytics Market Outlook

  • 6.1. Market Size & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share & Forecast
    • 6.2.1. By Analytics Type
    • 6.2.2. By Deployment Mode
    • 6.2.3. By Enterprise Size
    • 6.2.4. By Industry Vertical
    • 6.2.5. By Country
  • 6.3. North America: Country Analysis
    • 6.3.1. United States B2B Telecom Analytics Market Outlook
      • 6.3.1.1. Market Size & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share & Forecast
        • 6.3.1.2.1. By Analytics Type
        • 6.3.1.2.2. By Deployment Mode
        • 6.3.1.2.3. By Enterprise Size
        • 6.3.1.2.4. By Industry Vertical
    • 6.3.2. Canada B2B Telecom Analytics Market Outlook
      • 6.3.2.1. Market Size & Forecast
        • 6.3.2.1.1. By Value
      • 6.3.2.2. Market Share & Forecast
        • 6.3.2.2.1. By Analytics Type
        • 6.3.2.2.2. By Deployment Mode
        • 6.3.2.2.3. By Enterprise Size
        • 6.3.2.2.4. By Industry Vertical
    • 6.3.3. Mexico B2B Telecom Analytics Market Outlook
      • 6.3.3.1. Market Size & Forecast
        • 6.3.3.1.1. By Value
      • 6.3.3.2. Market Share & Forecast
        • 6.3.3.2.1. By Analytics Type
        • 6.3.3.2.2. By Deployment Mode
        • 6.3.3.2.3. By Enterprise Size
        • 6.3.3.2.4. By Industry Vertical

7. Europe B2B Telecom Analytics Market Outlook

  • 7.1. Market Size & Forecast
    • 7.1.1. By Value
  • 7.2. Market Share & Forecast
    • 7.2.1. By Analytics Type
    • 7.2.2. By Deployment Mode
    • 7.2.3. By Enterprise Size
    • 7.2.4. By Industry Vertical
    • 7.2.5. By Country
  • 7.3. Europe: Country Analysis
    • 7.3.1. Germany B2B Telecom Analytics Market Outlook
      • 7.3.1.1. Market Size & Forecast
        • 7.3.1.1.1. By Value
      • 7.3.1.2. Market Share & Forecast
        • 7.3.1.2.1. By Analytics Type
        • 7.3.1.2.2. By Deployment Mode
        • 7.3.1.2.3. By Enterprise Size
        • 7.3.1.2.4. By Industry Vertical
    • 7.3.2. France B2B Telecom Analytics Market Outlook
      • 7.3.2.1. Market Size & Forecast
        • 7.3.2.1.1. By Value
      • 7.3.2.2. Market Share & Forecast
        • 7.3.2.2.1. By Analytics Type
        • 7.3.2.2.2. By Deployment Mode
        • 7.3.2.2.3. By Enterprise Size
        • 7.3.2.2.4. By Industry Vertical
    • 7.3.3. United Kingdom B2B Telecom Analytics Market Outlook
      • 7.3.3.1. Market Size & Forecast
        • 7.3.3.1.1. By Value
      • 7.3.3.2. Market Share & Forecast
        • 7.3.3.2.1. By Analytics Type
        • 7.3.3.2.2. By Deployment Mode
        • 7.3.3.2.3. By Enterprise Size
        • 7.3.3.2.4. By Industry Vertical
    • 7.3.4. Italy B2B Telecom Analytics Market Outlook
      • 7.3.4.1. Market Size & Forecast
        • 7.3.4.1.1. By Value
      • 7.3.4.2. Market Share & Forecast
        • 7.3.4.2.1. By Analytics Type
        • 7.3.4.2.2. By Deployment Mode
        • 7.3.4.2.3. By Enterprise Size
        • 7.3.4.2.4. By Industry Vertical
    • 7.3.5. Spain B2B Telecom Analytics Market Outlook
      • 7.3.5.1. Market Size & Forecast
        • 7.3.5.1.1. By Value
      • 7.3.5.2. Market Share & Forecast
        • 7.3.5.2.1. By Analytics Type
        • 7.3.5.2.2. By Deployment Mode
        • 7.3.5.2.3. By Enterprise Size
        • 7.3.5.2.4. By Industry Vertical

8. Asia Pacific B2B Telecom Analytics Market Outlook

  • 8.1. Market Size & Forecast
    • 8.1.1. By Value
  • 8.2. Market Share & Forecast
    • 8.2.1. By Analytics Type
    • 8.2.2. By Deployment Mode
    • 8.2.3. By Enterprise Size
    • 8.2.4. By Industry Vertical
    • 8.2.5. By Country
  • 8.3. Asia Pacific: Country Analysis
    • 8.3.1. China B2B Telecom Analytics Market Outlook
      • 8.3.1.1. Market Size & Forecast
        • 8.3.1.1.1. By Value
      • 8.3.1.2. Market Share & Forecast
        • 8.3.1.2.1. By Analytics Type
        • 8.3.1.2.2. By Deployment Mode
        • 8.3.1.2.3. By Enterprise Size
        • 8.3.1.2.4. By Industry Vertical
    • 8.3.2. India B2B Telecom Analytics Market Outlook
      • 8.3.2.1. Market Size & Forecast
        • 8.3.2.1.1. By Value
      • 8.3.2.2. Market Share & Forecast
        • 8.3.2.2.1. By Analytics Type
        • 8.3.2.2.2. By Deployment Mode
        • 8.3.2.2.3. By Enterprise Size
        • 8.3.2.2.4. By Industry Vertical
    • 8.3.3. Japan B2B Telecom Analytics Market Outlook
      • 8.3.3.1. Market Size & Forecast
        • 8.3.3.1.1. By Value
      • 8.3.3.2. Market Share & Forecast
        • 8.3.3.2.1. By Analytics Type
        • 8.3.3.2.2. By Deployment Mode
        • 8.3.3.2.3. By Enterprise Size
        • 8.3.3.2.4. By Industry Vertical
    • 8.3.4. South Korea B2B Telecom Analytics Market Outlook
      • 8.3.4.1. Market Size & Forecast
        • 8.3.4.1.1. By Value
      • 8.3.4.2. Market Share & Forecast
        • 8.3.4.2.1. By Analytics Type
        • 8.3.4.2.2. By Deployment Mode
        • 8.3.4.2.3. By Enterprise Size
        • 8.3.4.2.4. By Industry Vertical
    • 8.3.5. Australia B2B Telecom Analytics Market Outlook
      • 8.3.5.1. Market Size & Forecast
        • 8.3.5.1.1. By Value
      • 8.3.5.2. Market Share & Forecast
        • 8.3.5.2.1. By Analytics Type
        • 8.3.5.2.2. By Deployment Mode
        • 8.3.5.2.3. By Enterprise Size
        • 8.3.5.2.4. By Industry Vertical

9. Middle East & Africa B2B Telecom Analytics Market Outlook

  • 9.1. Market Size & Forecast
    • 9.1.1. By Value
  • 9.2. Market Share & Forecast
    • 9.2.1. By Analytics Type
    • 9.2.2. By Deployment Mode
    • 9.2.3. By Enterprise Size
    • 9.2.4. By Industry Vertical
    • 9.2.5. By Country
  • 9.3. Middle East & Africa: Country Analysis
    • 9.3.1. Saudi Arabia B2B Telecom Analytics Market Outlook
      • 9.3.1.1. Market Size & Forecast
        • 9.3.1.1.1. By Value
      • 9.3.1.2. Market Share & Forecast
        • 9.3.1.2.1. By Analytics Type
        • 9.3.1.2.2. By Deployment Mode
        • 9.3.1.2.3. By Enterprise Size
        • 9.3.1.2.4. By Industry Vertical
    • 9.3.2. UAE B2B Telecom Analytics Market Outlook
      • 9.3.2.1. Market Size & Forecast
        • 9.3.2.1.1. By Value
      • 9.3.2.2. Market Share & Forecast
        • 9.3.2.2.1. By Analytics Type
        • 9.3.2.2.2. By Deployment Mode
        • 9.3.2.2.3. By Enterprise Size
        • 9.3.2.2.4. By Industry Vertical
    • 9.3.3. South Africa B2B Telecom Analytics Market Outlook
      • 9.3.3.1. Market Size & Forecast
        • 9.3.3.1.1. By Value
      • 9.3.3.2. Market Share & Forecast
        • 9.3.3.2.1. By Analytics Type
        • 9.3.3.2.2. By Deployment Mode
        • 9.3.3.2.3. By Enterprise Size
        • 9.3.3.2.4. By Industry Vertical

10. South America B2B Telecom Analytics Market Outlook

  • 10.1. Market Size & Forecast
    • 10.1.1. By Value
  • 10.2. Market Share & Forecast
    • 10.2.1. By Analytics Type
    • 10.2.2. By Deployment Mode
    • 10.2.3. By Enterprise Size
    • 10.2.4. By Industry Vertical
    • 10.2.5. By Country
  • 10.3. South America: Country Analysis
    • 10.3.1. Brazil B2B Telecom Analytics Market Outlook
      • 10.3.1.1. Market Size & Forecast
        • 10.3.1.1.1. By Value
      • 10.3.1.2. Market Share & Forecast
        • 10.3.1.2.1. By Analytics Type
        • 10.3.1.2.2. By Deployment Mode
        • 10.3.1.2.3. By Enterprise Size
        • 10.3.1.2.4. By Industry Vertical
    • 10.3.2. Colombia B2B Telecom Analytics Market Outlook
      • 10.3.2.1. Market Size & Forecast
        • 10.3.2.1.1. By Value
      • 10.3.2.2. Market Share & Forecast
        • 10.3.2.2.1. By Analytics Type
        • 10.3.2.2.2. By Deployment Mode
        • 10.3.2.2.3. By Enterprise Size
        • 10.3.2.2.4. By Industry Vertical
    • 10.3.3. Argentina B2B Telecom Analytics Market Outlook
      • 10.3.3.1. Market Size & Forecast
        • 10.3.3.1.1. By Value
      • 10.3.3.2. Market Share & Forecast
        • 10.3.3.2.1. By Analytics Type
        • 10.3.3.2.2. By Deployment Mode
        • 10.3.3.2.3. By Enterprise Size
        • 10.3.3.2.4. By Industry Vertical

11. Market Dynamics

  • 11.1. Drivers
  • 11.2. Challenges

12. Market Trends & Developments

  • 12.1. Merger & Acquisition (If Any)
  • 12.2. Product Launches (If Any)
  • 12.3. Recent Developments

13. Global B2B Telecom Analytics Market: SWOT Analysis

14. Porter's Five Forces Analysis

  • 14.1. Competition in the Industry
  • 14.2. Potential of New Entrants
  • 14.3. Power of Suppliers
  • 14.4. Power of Customers
  • 14.5. Threat of Substitute Products

15. Competitive Landscape

  • 15.1. IBM Corporation
    • 15.1.1. Business Overview
    • 15.1.2. Products & Services
    • 15.1.3. Recent Developments
    • 15.1.4. Key Personnel
    • 15.1.5. SWOT Analysis
  • 15.2. Oracle Corporation
  • 15.3. SAP SE
  • 15.4. Cisco Systems, Inc.
  • 15.5. Nokia Corporation
  • 15.6. Hewlett Packard Enterprise Development LP
  • 15.7. Ericsson AB
  • 15.8. SAS Institute Inc.
  • 15.9. Teradata Corporation
  • 15.10. Accenture PLC
  • 15.11. Subex Limited
  • 15.12. Amdocs Limited

16. Strategic Recommendations

17. About Us & Disclaimer