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1953561

B2B電信分析市場－全球產業規模、佔有率、趨勢、機會及預測（依分析類型、部署模式、公司規模、產業垂直領域、地區及競爭格局分類，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個工作天內

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簡介目錄

全球 B2B 電信分析市場預計將從 2025 年的 825.2 億美元成長到 2031 年的 2,002.2 億美元，複合年成長率為 15.92%。

此細分市場包含專用軟體和資料處理框架，使通訊業者能夠從網路使用資料中提取可操作的洞察，從而服務其企業客戶。市場成長的驅動力在於提高營運效率的需求以及保障企業客戶服務可靠性的嚴格義務。營運商利用這些工具來提升基礎設施效能，並透過在連接問題影響營運之前識別並解決這些問題來降低客戶流失流失率。因此，對服務保障和成本降低的持續需求是市場的主要促進因素，且不受暫時性技術趨勢的影響。

市場概覽
預測期 2027-2031
市場規模：2025年 825.2億美元
市場規模：2031年 2002.2億美元
複合年成長率：2026-2031年 15.92%
成長最快的細分市場 小型企業
最大的市場 北美洲

然而，市場成長的一大障礙在於難以將高階分析功能與傳統網路系統整合。分散的資料孤島普遍存在，阻礙了即時決策所需的資訊無縫流動。根據TM Forum預測，到2024年，網路域的平均自主等級在成熟度等級中僅為1.9級，只有6%的服務供應商能夠達到4級自主水準。這項數據凸顯了全球通訊業在實現全自動分析解決方案方面面臨的重大技術障礙，這些障礙限制了即時擴充性。

市場促進因素

5G網路和網路切片功能的快速部署正迫使營運商採用先進的分析技術來有效管理其虛擬化基礎設施。與傳統架構不同，5G獨立組網（SA）支援網路切片，使營運商能夠為企業客戶提供具有效能指標保證的專用邏輯網路。這種架構轉型顯著增加了營運複雜性，因為每個切片都需要持續監控，以維持嚴格的延遲和吞吐量服務等級協定（SLA）。根據愛立信2024年6月發布的《行動報告》，全球約有50家服務供應商已部署商用5G獨立網路（SA）網路。隨著這些部署的推進，某些工業應用，例如遠端控制機器人和智慧電網，將越來越依賴即時分析來確保在無需人工干預的情況下獲得所需的頻寬，從而保障高價值的B2B收入來源。

同時，將人工智慧和機器學習技術相結合，以獲取預測性洞察，對於管理現代網路產生的遙測資料呈指數級成長至關重要。通訊業者正從靜態報告轉向部署能夠偵測異常和預測故障的演算法，從而最大限度地減少關鍵業務的停機時間。這種轉變是由不斷成長的使用量所驅動的。根據愛立信2024年的報告，2023年3月至2024年3月期間，行動網路數據流量較去年同期成長25%。為了有效率地應對此負載，通訊業者正在將生成式人工智慧融入其營運工作流程，以實現根本原因分析和網路最佳化的自動化。英偉達於2024年2月發布的《2024年電信產業現況及趨勢》報告顯示，48%的受訪通訊業者表示已將生成式人工智慧專門用於網路營運與管理，這標誌著電信業正永久地朝向自癒網路轉型，其中分析功能將成為服務保障的中樞神經系統。

市場挑戰

全球B2B電信分析市場面臨的一大障礙是，將現代分析架構與現有傳統網路基礎設施整合的技術複雜性。通訊業者常常面臨龐大且分散的資料孤島，這些資料孤島與集中式分析工具不相容。這種結構上的僵化阻礙了即時處理所需的網路使用資料的無縫聚合，從而有效地抵消了即時服務保障和連接最佳化這一核心價值提案。

因此，這種整合障礙會延長企業客戶的採用時間並降低其投資報酬率，從而阻礙市場成長。當分析解決方案無法有效存取或關聯來自不同傳統領域的資料時，營運商就無法向其B2B客戶提供他們承諾的可操作洞察，導致客戶對更廣泛地採用這些解決方案猶豫不決。這種營運脫節也反映在近期的產業表現：根據TM Forum的數據顯示，截至2024年，71%的通訊業領導者已製定了人工智慧和分析藍圖，但只有22%實現了可衡量的業務收益。這種顯著的脫節表明，儘管需求強勁，但由於無法在傳統技術環境中擴展這些工具，市場擴張受到了嚴重限制。

市場趨勢

隨著通訊業者面臨能夠模仿合法流量模式的複雜威脅，網路效能監控與網路安全分析的整合正成為關鍵趨勢。傳統上各自獨立管理的網路營運中心 (NOC) 和安全運行中心(SOC) 正在整合，以偵測利用高頻寬5G 網路發動的大規模攻擊。這種整合分析策略使營運商能夠即時區分合法的業務流量高峰和惡意活動，從而避免可能違反嚴格 B2B 協定的服務降級。日益嚴峻的威脅環境凸顯了這種整合的必要性。根據諾基亞於 2024 年 10 月發布的《2024 年威脅情報報告》，在 2023 年 6 月至 2024 年 6 月期間，許多網路遭受的分散式阻斷服務 (DDoS) 攻擊頻率從每天一到兩次激增至每天超過 100 次。

同時，綠色分析技術的興起正在革新電力消耗管理方式，使通訊業者能夠在不犧牲網路品質的前提下滿足永續性的要求。隨著資料流量的激增，通訊業者正在無線接取網路(RAN) 和資料中心部署專用分析引擎，以便根據即時流量需求動態調整電力使用。這些工具能夠詳細測量單位數據的碳排放，幫助營運商在為工業客戶提供高吞吐量服務的同時最佳化能源使用。這種對效率的關注正在帶來切實可見的成果。根據 GSMA 於 2024 年 2 月發布的《2024 年行動淨零排放：產業氣候行動現況》報告，預計 2019 年至 2022 年間，數據傳輸的能耗強度將平均每年下降 10% 至 20%，這充分證明了數據驅動型能源管理策略的有效性。

目錄

第1章概述

第2章調查方法

第3章執行摘要

第4章：客戶評價

第5章 全球B2B電信分析市場展望

  • 市場規模及預測
    • 按金額
  • 市佔率及預測
    • 依分析類型（說明、預測性、指示性分析）
    • 依部署類型（本機部署、雲端部署、混合式部署）
    • 按公司規模（大型公司、中小企業）
    • 按行業分類（IT/電信、銀行、金融服務和保險、零售、醫療、製造業、其他）
    • 按地區
    • 按公司（2025 年）
  • 市場地圖

6. 北美B2B電信市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 北美洲：國家分析
    • 美國
    • 加拿大
    • 墨西哥

7. 歐洲B2B電信市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 歐洲：國家分析
    • 德國
    • 法國
    • 英國
    • 義大利
    • 西班牙

8. 亞太地區B2B電信市場展望

  • 市場規模及預測
  • 市佔率及預測
  • 亞太地區：國家分析
    • 中國
    • 印度
    • 日本
    • 韓國
    • 澳洲

9. 中東與非洲B2B電信市場展望分析

  • 市場規模及預測
  • 市佔率及預測
  • 中東和非洲：國家分析
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非

第10章：南美B2B電信市場展望分析

  • 市場規模及預測
  • 市佔率及預測
  • 南美洲：國家分析
    • 巴西
    • 哥倫比亞
    • 阿根廷

第11章 市場動態

  • 促進要素
  • 任務

第12章 市場趨勢與發展

  • 併購
  • 產品發布
  • 最新進展

第13章 全球B2B電信分析市場：SWOT分析

第14章：波特五力分析

  • 產業競爭
  • 新進入者的可能性
  • 供應商電力
  • 顧客權力
  • 替代品的威脅

第15章 競爭格局

  • 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16章 策略建議

第17章：關於研究公司及免責聲明

簡介目錄
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