查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1530886

到 2030 年的通訊分析市場預測：按組件、部署、公司規模、應用程式、最終用戶和區域進行的全球分析

Telecom Analytics Market Forecasts to 2030 - Global Analysis By Component, Deployment, Enterprise Size, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，2024 年全球通訊分析市場規模將達到 78 億美元，預計到 2030 年將達到 194 億美元，預測期內複合年成長率為 16.5%。

通訊分析是指收集、解釋和應用來自通訊網路和系統的資料以最佳化營運和增強服務交付的過程。這涉及使用複雜的分析技術和工具來分析從呼叫日誌、網路效能指標、客戶互動等產生的大量資料。通訊分析提取可操作的見解，幫助企業提高網路效率、預測和防止服務中斷、了解客戶行為以進行有針對性的行銷以及最佳化資源分配。

美國Statista 進行的 2022 年全球消費者調查顯示，44% 的受訪者使用線上儲存檔案和影像，40% 使用線上應用程式建立辦公室文件。

用戶洞察的需求不斷成長

對電信分析中的用戶洞察的需求不斷成長，反映出通訊業對資料主導決策的意識不斷增強。通訊業者正在利用先進的分析來更好地了解用戶行為、偏好和趨勢。透過分析客戶互動、服務使用和網路效能產生的大量資料，提供者可以獲得這些見解，從而個性化服務、最佳化網路資源，並實現改善的客戶體驗。

資料隱私和安全問題

資料隱私和安全問題限制對有價值的客戶資訊的存取並阻礙資料主導的洞察，從而嚴重影響通訊分析。電訊嚴重依賴分析大量客戶資料來最佳化服務、預測趨勢和改善用戶體驗。然而，GDPR 和 CCPA 等嚴格的資料保護條例要求嚴格的資料處理和存儲，以防止外洩和濫用。這種合規性通常涉及複雜的加密方案和資料存取限制，這可能會限制分析的廣度並減慢決策流程。

對預測分析的需求不斷成長

電訊業對預測分析的需求不斷成長，正在改變公司營運和服務客戶的方式。預測分析利用資料探勘、機器學習和統計演算法來分析過去的資料並預測未來的事件和行為。在電訊業，這意味著更個人化的客戶體驗、改進的網路管理和提高的業務效率。透過分析客戶行為模式，電信業者可以預測客戶流失、調整行銷策略並提供有針對性的促銷活動。

資料整合複雜性

由於涉及的資料來源數量眾多且種類繁多，通訊分析中的資料整合非常複雜。電訊供應商管理多種類型的資料，包括客戶互動、網路效能指標、申請資訊和服務使用模式。這些資料來源通常儲存在具有不同格式、結構和標準的不同系統中。整合這些資料需要付出巨大的努力來確保一致性、準確性和及時性。然而，由於需要將歷史資料與即時輸入整合、解決資料品質問題以及維護隱私和安全標準，這項挑戰變得更加複雜。

COVID-19 的影響：

COVID-19 大流行加速了數位轉型並改變了使用模式，對通訊分析產生了重大影響。隨著封鎖的蔓延和遠端工作成為常態，網路和行動資料消費量激增，迫使電信業者審查其網路容量和服務產品。分析對於管理這種激增至關重要，可以幫助提供者最佳化網路效能、預測流量高峰並改善客戶體驗。這場大流行暴露了數位存取方面的差異，並將注意力集中在彌合連接差距上。

硬體部分預計將在預測期內成為最大的部分

由於最尖端科技和高效能組件整合到網路基礎設施中，預計硬體部分將在預測期內成為最大的部分。現代通訊分析嚴重依賴即時資料處理和分析，需要強大的硬體解決方案，能夠以低延遲處理大量資料。管理和解釋複雜的網路資料流需要強化伺服器、專用處理器和大容量儲存系統。這些進步將使通訊業者能夠實施先進的分析演算法，以提高網路效能、最佳化資源分配並改善客戶體驗。

網路分析領域預計在預測期內複合年成長率最高

網路分析產業預計在預測期內複合年成長率最高。網路分析透過提供對網路效能和客戶行為的更深入洞察，正在徹底改變電信分析。此增強功能包括使用進階資料分析和機器學習來即時監控和最佳化網路運作。透過分析大量網路資料，電信分析可以識別模式、預測潛在問題並改善決策。此外，它還可以提高網路管理效率、減少停機時間並提高用戶服務品質。對於通訊業者而言，網路分析可以實現主動維護、更好的資源分配和有針對性的改進，所有這些都有助於提供卓越的客戶體驗。

比最大的地區

在預測期內，北美地區佔據了最大的市場佔有率。隨著資料消耗的激增以及 5G 和物聯網等新技術的日益普及，通訊業者面臨著提高全部區域網路效率和效能的壓力。網路最佳化涉及分析大量資料，以改善頻寬分配、減少延遲並確保無縫連接。這個過程是由該地區處理更多資料流量、最大限度降低營運成本並提供更好用戶體驗的需求所驅動的。通訊分析工具對於通訊業者預測網路需求、主動識別和解決潛在問題以及實施全部區域策略升級至關重要。

複合年成長率最高的地區：

預計歐洲地區在預測期內將實現盈利成長。在歐洲電訊業，政府監管透過促進透明度、競爭和創新，顯著加強了通訊分析領域。 《一般資料保護規範》(GDPR) 等法規確保通訊業者負責任地處理資料，提高消費者信任度，並鼓勵在全部區域更全面的資料收集和分析。歐盟委員會提出了促進競爭的舉措，例如取消漫遊費和推動網路基礎設施的改進，鼓勵通訊業者部署高級分析以保持競爭力並最佳化其服務。

免費客製化服務：

訂閱此報告的客戶可以存取以下免費自訂選項之一：

  • 公司簡介
    • 其他市場參與者的綜合分析（最多 3 家公司）
    • 主要企業SWOT分析（最多3家企業）
  • 區域分割
    • 根據客戶興趣對主要國家的市場估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 調查範圍
  • 調查方法
    • 資料探勘
    • 資料分析
    • 資料檢驗
    • 研究途徑
  • 研究資訊來源
    • 主要研究資訊來源
    • 二次研究資訊來源
    • 先決條件

第3章市場趨勢分析

  • 促進因素
  • 抑制因素
  • 機會
  • 威脅
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19 的影響

第4章波特五力分析

  • 供應商的議價能力
  • 買方議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第5章全球通訊分析市場：按組成部分

  • 軟體
  • 硬體
  • 服務
    • 託管服務
    • 專業服務

第6章全球通訊分析市場：依發展分類

  • 雲
  • 本地

第7章 全球通訊分析市場：依公司規模

  • 小型企業
  • 主要企業

第8章全球通訊分析市場：依應用分類

  • 服務分析
  • 網路分析
  • 客戶分析
  • 銷售和行銷管理
  • 風險與合規管理
  • 人力資源管理
  • 其他用途

第 9 章 全球通訊分析市場：依最終用戶分類

  • 媒體與娛樂
  • 運輸/物流
  • 零售/電子商務
  • 政府
  • 媒體與娛樂
  • 其他最終用戶

第 10 章 全球通訊分析市場：按地區

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東/非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲

第11章 主要進展

  • 合約、夥伴關係、協作和合資企業
  • 收購和合併
  • 新產品發布
  • 業務拓展
  • 其他關鍵策略

第12章 公司概況

  • SAP SE
  • Accenture Plc
  • Adobe Inc
  • Cisco Systems Inc
  • Huawei Technologies
  • International Business Machines Corporation
  • Microsoft Corporation
  • Oracle Corporation
  • Teradata Corporation
  • Vodafone Group
Product Code: SMRC26998

According to Stratistics MRC, the Global Telecom Analytics Market is accounted for $7.8 billion in 2024 and is expected to reach $19.4 billion by 2030 growing at a CAGR of 16.5% during the forecast period. Telecom analytics refers to the process of gathering, interpreting, and applying data from telecommunications networks and systems to optimize operations and enhance service delivery. It involves analyzing vast amounts of data generated from call records, network performance metrics, customer interactions, and more, using advanced analytical techniques and tools. By extracting actionable insights, telecom analytics helps companies improve network efficiency, predict and prevent service disruptions, understand customer behavior for targeted marketing, and optimize resource allocation.

According to the research study by Statista, Global Consumer Survey conducted in the United States in 2022, it has been found that 44 percent of respondents use online storage for files and pictures, while 40 percent of respondents use online applications to create office documents.

Market Dynamics:

Driver:

Increasing demand for subscriber insights

The increasing demand for subscriber insights in Telecom Analytics reflects a growing recognition of data-driven decision-making in the telecommunications industry. Telecom companies are leveraging advanced analytics to gain deeper understanding of subscriber behavior, preferences, and trends. By analyzing vast amounts of data generated from customer interactions, service usage, and network performance, these insights enable providers to personalize offerings, optimize network resources, and improve overall customer experience.

Restraint:

Data privacy and security concerns

Data privacy and security concerns significantly impact telecom analytics by restricting access to valuable customer information and hindering data-driven insights. Telecom companies rely heavily on analyzing vast amounts of customer data to optimize services, predict trends, and enhance user experiences. However, stringent data protection regulations, such as GDPR and CCPA, necessitate rigorous data handling and storage practices to prevent breaches and misuse. This compliance often involves complex encryption methods and restricted data access, which can limit the breadth of analytics and slow down decision-making processes.

Opportunity:

Rising demand for predictive analytics

The increasing demand for predictive analytics in the telecom industry is transforming how companies operate and serve their customers. Predictive analytics utilizes data mining, machine learning, and statistical algorithms to analyze historical data and make predictions about future events or behaviors. In telecom, this translates to more personalized customer experiences, improved network management, and enhanced operational efficiency. By analyzing customer behavior patterns, telecom companies can anticipate churn, tailor marketing strategies, and offer targeted promotions, thereby increasing customer satisfaction and loyalty.

Threat:

Complexity of data integration

Data integration in telecom analytics is complex due to the vast and varied nature of the data sources involved. Telecom operators manage an extensive array of data types, including customer interactions, network performance metrics, billing information, and service usage patterns. These data sources are often stored in disparate systems with different formats, structures, and standards. Integrating this data requires significant effort to ensure consistency, accuracy, and timeliness. However, the challenge is further compounded by the need to merge historical data with real-time inputs, address data quality issues, and maintain privacy and security standards.

Covid-19 Impact:

The COVID-19 pandemic significantly impacted telecom analytics by accelerating digital transformation and altering usage patterns. With widespread lockdowns and remote work becoming the norm, there was a sharp increase in internet and mobile data consumption, prompting telecom companies to reevaluate their network capacities and service offerings. Analytics became crucial in managing this surge, helping providers optimize network performance, predict traffic spikes, and enhance customer experience. The pandemic exposed disparities in digital access, leading to a heightened focus on bridging connectivity gaps.

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

Hardware segment is expected to be the largest during the forecast period by integrating cutting-edge technologies and high-performance components into network infrastructure. Modern telecom analytics relies heavily on real-time data processing and analysis, which requires robust hardware solutions capable of handling vast amounts of data with low latency. Enhanced servers, specialized processors, and high-capacity storage systems are crucial in managing and interpreting complex network data streams. These advancements enable telecom providers to implement sophisticated analytics algorithms that improve network performance, optimize resource allocation, and enhance customer experience.

The Network Analytics segment is expected to have the highest CAGR during the forecast period

Network Analytics segment is expected to have the highest CAGR during the forecast period. Network Analytics is revolutionizing Telecom Analytics by providing deeper insights into network performance and customer behavior. This enhancement involves using advanced data analysis and machine learning to monitor and optimize network operations in real-time. By analyzing vast amounts of network data, Telecom Analytics can identify patterns, predict potential issues, and improve decision-making. Furthermore, this leads to more efficient network management, reduced downtime, and enhanced service quality for users. For telecom operators, Network Analytics enables proactive maintenance, better resource allocation, and targeted improvements, all of which contribute to a superior customer experience.

Region with largest share:

North America region commanded the largest share of the market over the projection period. As data consumption surges and new technologies like 5G and IoT proliferate, telecom operators face increasing pressure to enhance network efficiency and performance across the region. Network optimization involves analyzing vast amounts of data to improve bandwidth allocation, reduce latency, and ensure seamless connectivity. This process is driven by the regional need to handle higher data traffic, minimize operational costs, and provide a superior user experience. Telecom analytics tools have become crucial, enabling operators to predict network demand, identify and address potential issues proactively and implement strategic upgrades across the region.

Region with highest CAGR:

Europe region is projected to witness profitable growth during the extrapolated period. In the European telecom sector, government regulations are substantially enhancing the landscape of telecom analytics by fostering transparency, competition, and innovation. Regulations such as the General Data Protection Regulation (GDPR) ensure that telecom operators handle data responsibly, which improves consumer trust and encourages more comprehensive data collection and analysis across the region. The European Commission's initiatives to promote competition, like the removal of roaming charges and the push for better network infrastructure, drive telecom companies to adopt advanced analytics to stay competitive and optimize their services.

Key players in the market

Some of the key players in Telecom Analytics market include SAP SE, Accenture Plc, Adobe Inc, Cisco Systems Inc, Huawei Technologies, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, Teradata Corporation and Vodafone Group.

Key Developments:

In April 2024, Vodafone Idea (Vi) has initiated a fund infusion plan, starting with a preferential share issue to raise Rs 2,075 Crore from an Aditya Birla Group entity, essential for its financial revitalization.

In February 2024, Deutsche Telekom, Singtel, e& Group, SoftBank, and SK Telecom officially launched the Global Telco AI Alliance (GTAA) at MWC Barcelona 2024. Moreover, during the launch event, the telcos further announced plans to establish a joint venture, via which the companies will focus on developing Large Language Models (LLMs) specifically tailored to the needs of telecommunications companies.

In May 2023, Microsoft announced a new partnership with Orange to help Orange improve its network analytics capabilities. The partnership will use Microsoft's Azure cloud platform and Azure Machine Learning to help Orange analyze its network data and identify opportunities to improve performance and customer experience.

In February 2023, Google Cloud announced a partnership with Ericsson to help telecom operators improve their network performance and customer experience. The partnership will focus on using Google Cloud's analytics and machine learning capabilities to help Ericsson's customers gain insights into their network data.

In February 2023, Nokia Corporation announces the launch of AVA Customer and Mobile Network Insights, a cloud-native analytics software solution that simplifies 5G network data collection and analysis and delivers powerful, most cost-effective analytics to communications service providers (CSPs). With the help of machine learning and AI tools, the solution help to support automated and intelligent solution decision-making based on correlated reports generated from data across 5G networks.

Components Covered:

  • Software
  • Hardware
  • Services

Deployments Covered:

  • Cloud
  • On-premises

Enterprise Sizes Covered:

  • Small and Medium-sized Enterprises
  • Large Enterprises

Applications Covered:

  • Service Analytics
  • Network Analytics
  • Customer Analytics
  • Sales and Marketing Management
  • Risk and Compliance Management
  • Workforce Management
  • Other Applications

End Users Covered:

  • Media & Entertainment
  • Transportation & Logistics
  • Retail & E-Commerce
  • Government
  • Media & Entertainment
  • Other End Users

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 2022, 2023, 2024, 2026, and 2030
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Application Analysis
  • 3.7 End User Analysis
  • 3.8 Emerging Markets
  • 3.9 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Telecom Analytics Market, By Component

  • 5.1 Introduction
  • 5.2 Software
  • 5.3 Hardware
  • 5.4 Services
    • 5.4.1 Managed Services
    • 5.4.2 Professional Services

6 Global Telecom Analytics Market, By Deployment

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-premises

7 Global Telecom Analytics Market, By Enterprise Size

  • 7.1 Introduction
  • 7.2 Small & Medium-sized Enterprises
  • 7.3 Large Enterprises

8 Global Telecom Analytics Market, By Application

  • 8.1 Introduction
  • 8.2 Service Analytics
  • 8.3 Network Analytics
  • 8.4 Customer Analytics
  • 8.5 Sales and Marketing Management
  • 8.6 Risk and Compliance Management
  • 8.7 Workforce Management
  • 8.8 Other Applications

9 Global Telecom Analytics Market, By End User

  • 9.1 Introduction
  • 9.2 Media & Entertainment
  • 9.3 Transportation & Logistics
  • 9.4 Retail & E-Commerce
  • 9.5 Government
  • 9.6 Media & Entertainment
  • 9.7 Other End Users

10 Global Telecom Analytics Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 SAP SE
  • 12.2 Accenture Plc
  • 12.3 Adobe Inc
  • 12.4 Cisco Systems Inc
  • 12.5 Huawei Technologies
  • 12.6 International Business Machines Corporation
  • 12.7 Microsoft Corporation
  • 12.8 Oracle Corporation
  • 12.9 Teradata Corporation
  • 12.10 Vodafone Group

List of Tables

  • Table 1 Global Telecom Analytics Market Outlook, By Region (2022-2030) ($MN)
  • Table 2 Global Telecom Analytics Market Outlook, By Component (2022-2030) ($MN)
  • Table 3 Global Telecom Analytics Market Outlook, By Software (2022-2030) ($MN)
  • Table 4 Global Telecom Analytics Market Outlook, By Hardware (2022-2030) ($MN)
  • Table 5 Global Telecom Analytics Market Outlook, By Services (2022-2030) ($MN)
  • Table 6 Global Telecom Analytics Market Outlook, By Managed Services (2022-2030) ($MN)
  • Table 7 Global Telecom Analytics Market Outlook, By Professional Services (2022-2030) ($MN)
  • Table 8 Global Telecom Analytics Market Outlook, By Deployment (2022-2030) ($MN)
  • Table 9 Global Telecom Analytics Market Outlook, By Cloud (2022-2030) ($MN)
  • Table 10 Global Telecom Analytics Market Outlook, By On-premises (2022-2030) ($MN)
  • Table 11 Global Telecom Analytics Market Outlook, By Enterprise Size (2022-2030) ($MN)
  • Table 12 Global Telecom Analytics Market Outlook, By Small & Medium-sized Enterprises (2022-2030) ($MN)
  • Table 13 Global Telecom Analytics Market Outlook, By Large Enterprises (2022-2030) ($MN)
  • Table 14 Global Telecom Analytics Market Outlook, By Application (2022-2030) ($MN)
  • Table 15 Global Telecom Analytics Market Outlook, By Service Analytics (2022-2030) ($MN)
  • Table 16 Global Telecom Analytics Market Outlook, By Network Analytics (2022-2030) ($MN)
  • Table 17 Global Telecom Analytics Market Outlook, By Customer Analytics (2022-2030) ($MN)
  • Table 18 Global Telecom Analytics Market Outlook, By Sales and Marketing Management (2022-2030) ($MN)
  • Table 19 Global Telecom Analytics Market Outlook, By Risk and Compliance Management (2022-2030) ($MN)
  • Table 20 Global Telecom Analytics Market Outlook, By Workforce Management (2022-2030) ($MN)
  • Table 21 Global Telecom Analytics Market Outlook, By Other Applications (2022-2030) ($MN)
  • Table 22 Global Telecom Analytics Market Outlook, By End User (2022-2030) ($MN)
  • Table 23 Global Telecom Analytics Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 24 Global Telecom Analytics Market Outlook, By Transportation & Logistics (2022-2030) ($MN)
  • Table 25 Global Telecom Analytics Market Outlook, By Retail & E-Commerce (2022-2030) ($MN)
  • Table 26 Global Telecom Analytics Market Outlook, By Government (2022-2030) ($MN)
  • Table 27 Global Telecom Analytics Market Outlook, By Media & Entertainment (2022-2030) ($MN)
  • Table 28 Global Telecom Analytics Market Outlook, By Other End Users (2022-2030) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.