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市場調查報告書
商品編碼
2035489

通訊資料分析市場預測至2034年－按組件、分析類型、部署模式、技術、應用、最終用戶和地區分類的全球分析

Telecom Data Analytics Market Forecasts to 2034 - Global Analysis By Component (Software and Services), Analytics Type, Deployment Mode, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球通訊數據分析市場規模將達到 146 億美元，並在預測期內以 19.8% 的複合年成長率成長，到 2034 年將達到 624 億美元。

通訊數據分析是指利用軟體平台和專業管理服務，使通訊業者能夠說明、指示性分析和分析海量的網路性能數據、客戶行為記錄、通話詳細記錄、收費數據和營運指標，並運用描述性、診斷性、預測性和規範性分析方法從中提取可執行的洞察。這有助於有線、無線和整合通訊服務供應商最佳化網路、確保收入、防止客戶流失、偵測詐欺、改善客戶體驗並支援策略性業務決策。

5G網路複雜性與數據生成

超高密度小型基地台的部署、網路切片配置以及來自邊緣運算節點的5G網路資料流的爆炸性成長，正在產生遠超傳統網路管理和分析能力的資料量。這迫使通訊業者投資於能夠即時處理網路遙測資料的高階分析平台，以實現自動化最佳化和主動故障排查。此外，依賴分析主導的客戶細分和服務個人化的5G商業化戰略，也為投資分析平台提供了直接的收入驅動動力，這不僅有助於提高營運效率，還能帶來更高的獲利能力。

資料孤島和傳統基礎設施碎片化

通訊業者的傳統基礎設施分散在多個供應商系統、孤立的營運和業務支援系統以及不同世代的網路技術中，這給數據整合帶來了巨大障礙。這限制了分析平台建構跨域客戶和網路整合智慧的能力，並且需要對資料管治專案進行大量前期投資，才能透過分析獲得涵蓋電信服務交付整個價值鏈的全面營運最佳化洞察。

即時客戶體驗分析

即時客戶體驗分析使通訊業者能夠在客戶申訴升級之前主動識別並解決服務品質下降問題，為實現差異化競爭提供了絕佳機會。這有助於提升客戶維繫和淨推薦值 (NPS)，並透過降低客戶解約率和提高客戶生命週期價值 (CLV) 來量化分析平台投資的合理性。此外，API 貨幣化分析使營運商能夠識別企業 5G 網路服務的使用模式並從中創造收入，從而開發新的、以分析主導的收入來源。

與超大規模資料中心業者雲端分析平台的競爭

諸如AWS、微軟Azure和谷歌雲端等超大規模資料中心業者雲端服務供應商提供的分析平台，透過靈活的計量收費模式，以極具競爭力的價格提供通訊業專屬的分析功能，從而對專業的電信分析軟體供應商構成競爭壓力。超大規模資料中心業者為已投資雲端基礎設施遷移專案的通訊業者提供的優勢——雲端原生分析堆疊的整合——對專業供應商專有平台的價值提案了挑戰。

新冠疫情的影響：

新冠疫情期間，遠距辦公、視訊會議和串流媒體的普及導致網路流量激增，暴露出營運商分析基礎設施缺乏即時網路容量分析能力的不足。這促使營運商加速投資分析平台，以最佳化流量管理。隨著後疫情時代數位服務商業化戰略越來越依賴客戶行為分析和網路效能智慧，全球通訊業者在資本支出計畫中持續增加對通訊數據分析的投入。

在預測期內，服務業預計將佔據最大的市場佔有率。

預計在預測期內，服務領域將佔據最大的市場佔有率。這主要歸功於大規模的通訊分析商業模式，即透過託管分析服務和專家實施諮詢來交付，通訊業者正在採用這種模式，以便在無需組建龐大的內部資料科學團隊的情況下，充分利用其分析能力和專業知識。持續的託管分析服務經營模式提供持續的網路最佳化、用戶流失預測和詐欺檢測服務，其產生的經常性收入在商業通訊分析領域已超過軟體授權收入。

在預測期內，說明分析部分預計將呈現最高的複合年成長率。

在預測期內，說明分析領域預計將呈現最高的成長率。這主要歸功於通訊業者對綜合網路和客戶資料視覺化平台的持續投資，旨在建立說明分析基礎設施，從而支援更先進的預測性和指示性分析能力；此外，電信業監管報告要求的不斷提高也促使企業需要提供全面的網路效能和服務品質文檔，而說明分析平台恰好能夠有效地支援這些要求。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率。這主要歸功於美國和加拿大擁有眾多大型通訊業者，它們都投入大規模開展分析業務；IBM、Oracle、SAS 和 Amdocs 等領先的電信分析平台供應商在北美獲得了可觀的收入；以及隨著 5G 網路部署的推進，先進的無線服務供應商對網路最佳化和客戶體驗管理智慧分析的需求不斷成長。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率。這是因為中國、日本、韓國和印度擁有全球最大的電信用戶群，產生海量的分析數據；5G的積極部署催生了以分析主導的新型商業化需求；華為和本地供應商對本土電信分析解決方案的開發，正在推動亞太通訊業者市場競爭生態系統的擴展。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 主要參與者（最多3家公司）的SWOT分析
  • 區域細分
    • 應客戶要求，我們提供主要國家的市場估算和預測，以及複合年成長率（註：需進行可行性檢查）。
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球通訊資料分析市場：按組件分類

  • 軟體
  • 服務
    • 專業服務
    • 託管服務
    • 諮詢與整合

第6章 全球通訊資料分析市場：依分析類型分類

  • 說明分析
  • 診斷分析
  • 預測分析
  • 指示性分析

第7章 全球通訊資料分析市場：依部署模式分類

  • 現場
  • 基於雲端的
  • 混合實現

第8章 全球通訊資料分析市場：依技術分類

  • 巨量資料分析
  • 人工智慧和機器學習
  • 即時分析
  • 邊緣運算
  • 5G賦能的分析

第9章 全球通訊資料分析市場：按應用分類

  • 客戶分析
  • 網路分析
  • 行銷與銷售分析
  • 詐欺偵測和安全分析
  • 收入保障和收費分析
  • 風險與合規分析
  • 勞動力分析

第10章 全球通訊資料分析市場：依最終用戶分類

  • 通訊業者
  • 通訊設備供應商
  • 託管服務供應商(MSP)
  • 使用通訊資訊服務的公司

第11章 全球通訊資料分析市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • IBM Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • SAP SE
  • Cisco Systems, Inc.
  • SAS Institute Inc.
  • Teradata Corporation
  • Hewlett Packard Enterprise（HPE）
  • Accenture plc
  • Huawei Technologies Co., Ltd.
  • Ericsson AB
  • Nokia Corporation
  • Amdocs Limited
  • TIBCO Software Inc.
  • Adobe Inc.
Product Code: SMRC35525

According to Stratistics MRC, the Global Telecom Data Analytics Market is accounted for $14.6 billion in 2026 and is expected to reach $62.4 billion by 2034 growing at a CAGR of 19.8% during the forecast period. Telecom data analytics refers to software platforms and professional and managed services that enable telecommunications operators to collect, process, analyze, and derive actionable intelligence from massive volumes of network performance data, customer behavior records, call detail records, billing data, and operational metrics using descriptive, diagnostic, predictive, and prescriptive analytics techniques to support network optimization, revenue assurance, churn prevention, fraud detection, customer experience improvement, and strategic business decision-making across wireline, wireless, and converged telecommunications service providers.

Market Dynamics:

Driver:

5G Network Complexity Data Generation

Massive proliferation of 5G network data streams from ultra-dense small cell deployments, network slicing configurations, and edge computing nodes generating data volumes that far exceed legacy network management analytical capability is compelling telecom operators to invest in advanced analytics platforms capable of processing network telemetry in real-time for automated optimization and proactive fault resolution. 5G monetization strategy dependency on analytics-driven customer segmentation and service personalization creates direct revenue motivation for analytics platform investment beyond operational efficiency justification alone.

Restraint:

Data Silos Legacy Infrastructure Fragmentation

Telecommunications operator legacy infrastructure fragmented across multiple vendor systems, siloed operational and business support systems, and heterogeneous network technology generations creates significant data integration barriers that limit analytics platform ability to develop unified cross-domain customer and network intelligence, requiring expensive data governance program investment before analytics can deliver comprehensive operational optimization insights across the complete telecom service delivery value chain.

Opportunity:

Real-Time Customer Experience Analytics

Real-time customer experience analytics enabling telecommunications operators to proactively identify and resolve service degradation before customer complaint escalation represents a premium competitive differentiation opportunity generating documented customer retention improvement and net promoter score enhancement that quantifiably justifies analytics platform investment through reduced churn and improved customer lifetime value outcomes. API monetization analytics enabling operators to identify and capture revenue from enterprise 5G network service consumption patterns creates additional analytics-driven revenue stream development opportunities.

Threat:

Hyperscaler Cloud Analytics Platform Competition

Hyperscaler cloud provider analytics platform offerings from AWS, Microsoft Azure, and Google Cloud providing increasingly telecommunications-specific analytics capabilities at competitive economics through elastic consumption pricing models create competitive pressure against specialized telecom analytics software vendors whose proprietary platform value proposition is challenged by cloud-native analytics stack integration advantages that hyperscalers provide to telecommunications operators already investing in cloud infrastructure migration programs.

Covid-19 Impact:

COVID-19 dramatically increased network traffic volumes from remote work, video conferencing, and streaming consumption that exposed analytical infrastructure inadequacies in operators lacking real-time network capacity analytics, accelerating analytics platform investment for traffic management optimization. Post-pandemic digital service monetization strategy dependency on customer behavior analytics and network performance intelligence continue sustaining strong telecom data analytics investment across global telecommunications operator capital expenditure programs.

The services segment is expected to be the largest during the forecast period

The services segment is expected to account for the largest market share during the forecast period, due to the dominant commercial model of telecom analytics delivered through managed analytics services and professional implementation consulting that telecommunications operators adopt to access analytical capability and domain expertise without requiring large internal data science team development. Ongoing managed analytics service contracts providing continuous network optimization, churn prediction, and fraud detection services generate recurring revenue streams that collectively exceed software license revenue in the telecom analytics commercial landscape.

The descriptive analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the descriptive analytics segment is predicted to witness the highest growth rate, driven by foundational telecom operator investment in comprehensive network and customer data visibility platforms establishing the descriptive analytics infrastructure prerequisite for more advanced predictive and prescriptive analytics capabilities, combined with expanding regulatory reporting requirements across telecommunications sectors mandating comprehensive network performance and service quality documentation that descriptive analytics platforms efficiently support.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, due to the United States and Canada hosting major telecommunications operators with substantial analytics investment programs, leading telecom analytics platform vendors including IBM, Oracle, SAS, and Amdocs generating substantial North American revenue, and progressive 5G network deployment creating expanding analytics demand for network optimization and customer experience management intelligence across advanced wireless service providers.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, due to China, Japan, South Korea, and India hosting the world's largest telecommunications subscriber bases generating massive analytics data volumes, aggressive 5G deployment creating new analytics-driven monetization requirements, and domestic telecom analytics solution development from Huawei and regional vendors creating competitive ecosystem expansion across Asia Pacific telecommunications operator markets.

Key players in the market

Some of the key players in Telecom Data Analytics Market include IBM Corporation, Microsoft Corporation, Oracle Corporation, SAP SE, Cisco Systems Inc., SAS Institute Inc., Teradata Corporation, Hewlett Packard Enterprise (HPE), Accenture plc, Huawei Technologies Co. Ltd., Ericsson AB, Nokia Corporation, Amdocs Limited, TIBCO Software Inc., and Adobe Inc..

Key Developments:

In April 2026, IBM Corporation launched an AI-powered telecom network analytics platform integrating real-time 5G performance telemetry with customer experience correlation models enabling automated network optimization and proactive service degradation prevention.

In February 2026, Amdocs Limited introduced a cloud-native telecom data analytics suite combining network intelligence, customer analytics, and revenue assurance in a unified platform targeting Tier 1 operator digital transformation analytics modernization programs.

Components Covered:

  • Software
  • Services

Analytics Types Covered:

  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics

Deployment Modes Covered:

  • On-Premises
  • Cloud-Based
  • Hybrid Deployment

Technologies Covered:

  • Big Data Analytics
  • Artificial Intelligence & Machine Learning
  • Real-Time Analytics
  • Edge Computing
  • 5G-Enabled Analytics

Applications Covered:

  • Customer Analytics
  • Network Analytics
  • Marketing & Sales Analytics
  • Fraud Detection & Security Analytics
  • Revenue Assurance & Billing Analytics
  • Risk & Compliance Analytics
  • Workforce Analytics

End Users Covered:

  • Telecom Operators
  • Telecom Equipment Providers
  • Managed Service Providers (MSPs)
  • Enterprises using Telecom Data Services

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Telecom Data Analytics Market, By Component

  • 5.1 Software
  • 5.2 Services
    • 5.2.1 Professional Services
    • 5.2.2 Managed Services
    • 5.2.3 Consulting & Integration

6 Global Telecom Data Analytics Market, By Analytics Type

  • 6.1 Descriptive Analytics
  • 6.2 Diagnostic Analytics
  • 6.3 Predictive Analytics
  • 6.4 Prescriptive Analytics

7 Global Telecom Data Analytics Market, By Deployment Mode

  • 7.1 On-Premises
  • 7.2 Cloud-Based
  • 7.3 Hybrid Deployment

8 Global Telecom Data Analytics Market, By Technology

  • 8.1 Big Data Analytics
  • 8.2 Artificial Intelligence & Machine Learning
  • 8.3 Real-Time Analytics
  • 8.4 Edge Computing
  • 8.5 5G-Enabled Analytics

9 Global Telecom Data Analytics Market, By Application

  • 9.1 Customer Analytics
  • 9.2 Network Analytics
  • 9.3 Marketing & Sales Analytics
  • 9.4 Fraud Detection & Security Analytics
  • 9.5 Revenue Assurance & Billing Analytics
  • 9.6 Risk & Compliance Analytics
  • 9.7 Workforce Analytics

10 Global Telecom Data Analytics Market, By End User

  • 10.1 Telecom Operators
  • 10.2 Telecom Equipment Providers
  • 10.3 Managed Service Providers (MSPs)
  • 10.4 Enterprises using Telecom Data Services

11 Global Telecom Data Analytics Market, By Geography

  • 11.1 North America
    • 11.1.1 United States
    • 11.1.2 Canada
    • 11.1.3 Mexico
  • 11.2 Europe
    • 11.2.1 United Kingdom
    • 11.2.2 Germany
    • 11.2.3 France
    • 11.2.4 Italy
    • 11.2.5 Spain
    • 11.2.6 Netherlands
    • 11.2.7 Belgium
    • 11.2.8 Sweden
    • 11.2.9 Switzerland
    • 11.2.10 Poland
    • 11.2.11 Rest of Europe
  • 11.3 Asia Pacific
    • 11.3.1 China
    • 11.3.2 Japan
    • 11.3.3 India
    • 11.3.4 South Korea
    • 11.3.5 Australia
    • 11.3.6 Indonesia
    • 11.3.7 Thailand
    • 11.3.8 Malaysia
    • 11.3.9 Singapore
    • 11.3.10 Vietnam
    • 11.3.11 Rest of Asia Pacific
  • 11.4 South America
    • 11.4.1 Brazil
    • 11.4.2 Argentina
    • 11.4.3 Colombia
    • 11.4.4 Chile
    • 11.4.5 Peru
    • 11.4.6 Rest of South America
  • 11.5 Rest of the World (RoW)
    • 11.5.1 Middle East
      • 11.5.1.1 Saudi Arabia
      • 11.5.1.2 United Arab Emirates
      • 11.5.1.3 Qatar
      • 11.5.1.4 Israel
      • 11.5.1.5 Rest of Middle East
    • 11.5.2 Africa
      • 11.5.2.1 South Africa
      • 11.5.2.2 Egypt
      • 11.5.2.3 Morocco
      • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

  • 12.1 Industry Value Network and Supply Chain Assessment
  • 12.2 White-Space and Opportunity Mapping
  • 12.3 Product Evolution and Market Life Cycle Analysis
  • 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

  • 13.1 Mergers and Acquisitions
  • 13.2 Partnerships, Alliances, and Joint Ventures
  • 13.3 New Product Launches and Certifications
  • 13.4 Capacity Expansion and Investments
  • 13.5 Other Strategic Initiatives

14 Company Profiles

  • 14.1 IBM Corporation
  • 14.2 Microsoft Corporation
  • 14.3 Oracle Corporation
  • 14.4 SAP SE
  • 14.5 Cisco Systems, Inc.
  • 14.6 SAS Institute Inc.
  • 14.7 Teradata Corporation
  • 14.8 Hewlett Packard Enterprise (HPE)
  • 14.9 Accenture plc
  • 14.10 Huawei Technologies Co., Ltd.
  • 14.11 Ericsson AB
  • 14.12 Nokia Corporation
  • 14.13 Amdocs Limited
  • 14.14 TIBCO Software Inc.
  • 14.15 Adobe Inc.

List of Tables

  • Table 1 Global Telecom Data Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Telecom Data Analytics Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Telecom Data Analytics Market Outlook, By Software (2023-2034) ($MN)
  • Table 4 Global Telecom Data Analytics Market Outlook, By Services (2023-2034) ($MN)
  • Table 5 Global Telecom Data Analytics Market Outlook, By Professional Services (2023-2034) ($MN)
  • Table 6 Global Telecom Data Analytics Market Outlook, By Managed Services (2023-2034) ($MN)
  • Table 7 Global Telecom Data Analytics Market Outlook, By Consulting & Integration (2023-2034) ($MN)
  • Table 8 Global Telecom Data Analytics Market Outlook, By Analytics Type (2023-2034) ($MN)
  • Table 9 Global Telecom Data Analytics Market Outlook, By Descriptive Analytics (2023-2034) ($MN)
  • Table 10 Global Telecom Data Analytics Market Outlook, By Diagnostic Analytics (2023-2034) ($MN)
  • Table 11 Global Telecom Data Analytics Market Outlook, By Predictive Analytics (2023-2034) ($MN)
  • Table 12 Global Telecom Data Analytics Market Outlook, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 13 Global Telecom Data Analytics Market Outlook, By Deployment Mode (2023-2034) ($MN)
  • Table 14 Global Telecom Data Analytics Market Outlook, By On-Premises (2023-2034) ($MN)
  • Table 15 Global Telecom Data Analytics Market Outlook, By Cloud-Based (2023-2034) ($MN)
  • Table 16 Global Telecom Data Analytics Market Outlook, By Hybrid Deployment (2023-2034) ($MN)
  • Table 17 Global Telecom Data Analytics Market Outlook, By Technology (2023-2034) ($MN)
  • Table 18 Global Telecom Data Analytics Market Outlook, By Big Data Analytics (2023-2034) ($MN)
  • Table 19 Global Telecom Data Analytics Market Outlook, By Artificial Intelligence & Machine Learning (2023-2034) ($MN)
  • Table 20 Global Telecom Data Analytics Market Outlook, By Real-Time Analytics (2023-2034) ($MN)
  • Table 21 Global Telecom Data Analytics Market Outlook, By Edge Computing (2023-2034) ($MN)
  • Table 22 Global Telecom Data Analytics Market Outlook, By 5G-Enabled Analytics (2023-2034) ($MN)
  • Table 23 Global Telecom Data Analytics Market Outlook, By Application (2023-2034) ($MN)
  • Table 24 Global Telecom Data Analytics Market Outlook, By Customer Analytics (2023-2034) ($MN)
  • Table 25 Global Telecom Data Analytics Market Outlook, By Network Analytics (2023-2034) ($MN)
  • Table 26 Global Telecom Data Analytics Market Outlook, By Marketing & Sales Analytics (2023-2034) ($MN)
  • Table 27 Global Telecom Data Analytics Market Outlook, By Fraud Detection & Security Analytics (2023-2034) ($MN)
  • Table 28 Global Telecom Data Analytics Market Outlook, By Revenue Assurance & Billing Analytics (2023-2034) ($MN)
  • Table 29 Global Telecom Data Analytics Market Outlook, By Risk & Compliance Analytics (2023-2034) ($MN)
  • Table 30 Global Telecom Data Analytics Market Outlook, By Workforce Analytics (2023-2034) ($MN)
  • Table 31 Global Telecom Data Analytics Market Outlook, By End User (2023-2034) ($MN)
  • Table 32 Global Telecom Data Analytics Market Outlook, By Telecom Operators (2023-2034) ($MN)
  • Table 33 Global Telecom Data Analytics Market Outlook, By Telecom Equipment Providers (2023-2034) ($MN)
  • Table 34 Global Telecom Data Analytics Market Outlook, By Managed Service Providers (MSPs) (2023-2034) ($MN)
  • Table 35 Global Telecom Data Analytics Market Outlook, By Enterprises using Telecom Data Services (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.