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市场调查报告书
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1639456

电信分析 -市场占有率分析、产业趋势/统计、成长预测 (2025-2030)

Telecom Analytics - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

电信分析市场规模预计到 2025 年为 82.2 亿美元，预计到 2030 年将达到 137.4 亿美元，预测期内（2025-2030 年）复合年增长率为 10.82%。

电信分析-市场-IMG1

由于新加入经营者的出现导致竞争加剧，减少取消订单的需求比以往任何时候都更大，新进业者通常会提供比现有企业更便宜、更优惠的合约。此外，资料资料有效的分析来更深入地了解客户行为和偏好。即时服务使用模式正在激励这些公司实施分析。

主要亮点

  • 电讯分析市场结合了各种复杂的商业智慧(BI) 技术，可以满足电讯业的复杂需求。这包括发展销售、减少客户流失和诈欺、加强风险管理以及降低营运成本。因此，电讯正在采用先进的分析主导的资料解决方案，更快、更简单地仅处理相关资料，并使用资料挖掘和预测分析等网路分析来产生及时、准确的见解。
  • 此外，通讯业正在进入一个新时代，新的客户关注点从消费者转向企业，5G 和云端新技术，以及利用分析和资料科学提供敏捷和响应式服务的全新方式对工作方式的需求。 。截至 2023 年 1 月，GSA 报告称，全球已有 243 个商用 5G 部署，112 家营运商投资独立 5G。这种商业化将带来新的 B2B 和 B2B2X 应用程式。为此，通讯业者需要能够可靠地服务这些客户，而不仅仅是增加容量或灵活地改变服务水准和资源。
  • 例如，2023 年 2 月，Oracle 公司宣布发布 Oracle Network Analytics Data Director，这是我们网路分析产品组合中的第二个应用程式。该应用程式使营运商能够灵活地将 5G 核心整合到其现有的营运工具中，甚至对于 Oracle 未提供的网路功能也是如此。 Oracle Communications Network Analytics Data Director 本质上从各种来源获取流量，包括 SCP（服务通讯代理）和 NRF（网路储存库功能）等 Oracle 5G 网路功能，并将其传递给用户应用程式。
  • 由于全球行动用户数量众多，预计电信分析服务将託管在云端。因此，云端託管也有望因消费群的持续增加而进一步扩大。因此，通讯服务供应商(CSP) 对这项技术的采用正在显着成长。
  • 电信分析可协助通讯服务供应商(CSP) 提高生产力、提高客户满意度并增加收益。例如，诺基亚的Nokia AVA分析和见解帮助许多主要通讯公司重塑了其市场测量产品。层级服务供应商POST Luxembourg 使用诺基亚 AVA 在用户受到影响之前主动识别并解决 97% 的网路问题。此外，Hutchison 3 Indonesia 将网路频谱效率提高了 17%。此外，沃达丰使用贝尔实验室机器学习演算法检测异常并帮助自动进行根本原因分析，解决网路问题的速度提高了 30%。
  • 改进的资料基础设施使分析能够在通讯行业中得到应用，为资料丰富的通讯业者提供有意义的情报以实现业务转型。电信分析可让您整合和分析与支出和计划相关的客户资料以及网路使用情况和网路活动时间等行为资料。
  • 智慧型设备的激增和 IP 网路使用的增加导致通讯业通讯诈骗死灰復燃。诈骗已成为通讯市场最棘手的问题，因为攻击可能来自任何地方。因此，当局已开始对通讯业进行安全监管。在印度，印度电讯监管局对未达语音品质标准有严格的规定和处罚。预计这将增加该国对网路分析解决方案的需求。
  • 在 COVID-19 大流行期间，通讯分析的使用全面扩展。由于在家工作的能力导致宽频压力增加、线上串流平台的兴起、内部流程可见度的提高以及电信分析的基本操作在此期间扩大等因素，对电信分析的需求处于积极锁定状态。

电信分析市场趋势

减少取消的需求迅速增加

  • 在电讯领域，流失率可以定义为在预定时间内更换服务供应商的用户的百分比。如果这个百分比逐年增加，就会损害公司品牌，因此公司正在专注于降低解约率。这对公司未来的销售和业务产生负面影响。根据 krtrimaiq 的数据，新泽西州和加州的解约率是美国最高的。
  • 透过使用 Telecom Analytics，我们将解约率降低了 15%。电信服务供应商寻求客户流失分析解决方案，以防止收益损失、增强客户服务并节省行销和销售费用。透过实施用户分析解决方案，用户可以从用户使用资料中了解更多信息，识别用户行为模式并改善客户体验。此外，通讯业者可以交叉销售和提升销售。
  • 电信分析非常重要，因为它为电信公司提供了客户概况，并允许他们识别盈利最高的客户、盈利最低的客户等。同时，您还可以追踪客户关係的演变（购买、续约、问题）并查看每个客户在客户旅程中的位置。
  • 此外，电信分析的好处之一是，在客户管理中，所有客户资料都安全地储存在一个系统中，并且可以随时存取。因为以一致的方式收集每个消费者的详细资讯以供以后分析非常重要。
  • 此外，Bharti Airtel、Reliance Jio 和 Vodafone 等行动电话电信商正在使用人工智慧，透过客服中心和客户服务接触点的网路提供来改善客户体验，提高用户保留率，我正在努力寻找减少客户流失的方法。
  • 此外，这个市场上的公司正在提供通讯分析解决方案，其中结合了机器学习来了解态度，帮助通讯业者识别有风险的用户以及当前和未来流失的原因。因此，营运商正在製定行销和客户服务计划以减少客户流失。您还可以发现准备升级其资料方案的用户以及新服务的潜在客户。在电讯领域，客户流失分析还可以预测客户何时更换营运商或服务供应商。
  • 电讯领域的客户有多种服务供应商可供选择，并且可以主动在营运商之间切换。在竞争如此激烈的市场中，电讯业的年平均解约率率为15-25%。现在，客户维繫的重要性超过了获取客户，因为获取新客户的成本比保留现有客户高 5 到 10 倍。留住盈利的消费者是许多现有企业的首要商业目标。为了减少客户流失，通讯业者必须识别最有可能流失的消费者。
  • 沃达丰2021/2022财年第一季的德国预付解约率率为11.3%。沃达丰预付客户解约率最高的是英国（英国），其解约率率为91.9%。这些地区的解约率很高，降低解约率的需求正在显着增加。

北美占最大市场占有率

  • 预计北美将在电讯分析市场中占据重要的市场占有率，这主要是由于商业智慧解决方案的高支出。此外，由于该地区通讯高度发达，通讯业者之间的竞争激烈，预计该地区的通讯分析市场将变得更加活跃。
  • 用于客户支援的IT基础设施和技术的持续进步、众多市场供应商的存在以及管理最新客户经验和帮助台软体的熟练技术专业知识的可用性，使该地区独一无二，为电信分析的增长做出了贡献。此外，北美公司正在积极寻求策略併购。例如，美国科技巨头IBM收购了Sanovi Technologies，以加强其云端服务。 Sanovi 为企业资料中心和云端基础架构提供云端迁移、业务永续营运和混合云端復原软体。
  • 此外，BYOD 计划可能是由于平板电脑和智慧型手机在美国日益普及而推动的。例如，2022年1月，美国人口普查局和消费者科技协会预测，美国智慧型手机销售额将从2021年的730亿美元增加到2022年的747亿美元。随着物联网在众多行业和企业中迅速采用，这一数字预计将进一步增加。因此，随着智慧型手机用户的增加，诈骗和诈骗的可能性也在增加，这正在推动这个通讯分析市场呈指数级增长。
  • 北美是一些全球最大的行动电话服务供应商的所在地，他们严重依赖消费者的回馈。因此，透过选择Telecom Analytics，该地区的CSP可以以更高的效率提供更高品质的服务。例如，美国通讯供应商 Verizon 拥有各种分析解决方案和人工智慧团队。同时，资料科学和认知智慧团队致力于将分析和认知技术引入 Verizon 的客户互动中。其他供应商也正在关注类似的努力，预计这将推动该地区对通讯分析解决方案的需求。
  • 此外，政府增加支持网路普及的措施和投资预计将增加对通讯分析市场的需求。例如，2022 年 7 月，美国农业部 (USDA) 宣布将投资 4.01 亿美元，为 11 个州的企业和 31,000 名农村居民提供高速网路存取。这是美国政府对负担得起的高速网路和农村基础设施投资的承诺的一部分。
  • Stormforge 于 2021 年 4 月发布的一项研究显示，18% 的北美受访者表示，他们每月在公司的云端运算上花费 10 万至 25 万美元。此外，32% 的受访者预计其公司的云端支出将在未来 12 个月内大幅增加，44% 的受访者预计同期云端支出将小幅增加。此外，根据 Statista 2022 年进行的全球消费者调查，44% 的受访者使用线上储存文件和图像，40% 的受访者使用线上应用程式建立办公室文件。云端服务的高支出趋势预计将推动该地区通讯分析市场的成长。

电信分析产业概述

电信分析市场竞争激烈，目前参与企业众多，进入分散化阶段。全球电信分析市场的几家主要企业正在不断努力推动产品进步。几家知名公司正在结盟或扩大在新兴市场的足迹，以巩固其市场地位。主要企业包括华为技术有限公司、SAP SE 和甲骨文公司。

  • 2023 年 3 月 - IBM 公司宣布将为埃及电信 (TE) 提供智慧自动化软体，以实施涵盖行动、固定和核心网路上所有营运支援系统 (OSS) 的解决方案。埃及电信将采用部署在 RedHat OpenShift 上的 IBM Cloud Pak for Watson AIOps 来实施 IBM 机器人流程自动化 (RPA) 解决方案。此解决方案使 TE 能够鸟瞰整个 IT 环境，从而加快创新速度、降低营运成本并最大限度地缩短故障排除和解决网路相关事件所需的时间。
  • 2023 年 2 月 - Bharti Airtel 宣布将与 NVIDIA 合作建置基于 AI 的解决方案，以改善其客服中心所有入境的整体客户体验。该公司对进入客服中心的84% 的呼叫应用了自动语音辨识演算法。这使得公司能够在与消费者互动时找到代理商的改进之处，从而带来更好的客户体验。该公司利用 NVIDIA NeMo 对话式 AI套件包来开发这款专用语音应用程式和 NVIDIA AI 企业软体套件。

其他好处

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 价值链分析
  • 产业吸引力－波特五力分析
    • 新进入者的威胁
    • 买方议价能力
    • 供应商的议价能力
    • 替代品的威胁
    • 竞争公司之间敌对关係的强度
  • COVID-19 对市场的影响
  • 市场动态
    • 减少取消的需求迅速增加
    • 诈欺的脆弱性增加
  • 市场限制因素
    • 通讯业者缺乏意识

第五章市场区隔

  • 按用途
    • 客户分析
    • 网路分析
    • 市场分析
    • 价格分析
    • 服务分析
    • 其他的
  • 按发展
    • 云
    • 本地
  • 按地区
    • 北美洲
      • 美国
      • 加拿大
    • 欧洲
      • 英国
      • 德国
      • 法国
      • 欧洲其他地区
    • 亚太地区
      • 中国
      • 印度
      • 日本
      • 其他亚太地区
    • 其他的
      • 拉丁美洲
      • 中东/非洲

第六章 竞争状况

  • 公司简介
    • Dell Inc.
    • Oracle Corporation
    • IBM Corporation
    • SAP SE
    • Microsoft Corporation
    • InfoFaces Inc.
    • Accenture PLC
    • Huawei Technologies Co. Ltd
    • Teradata Corporation
    • Wipro Limited
    • Nokia Corporation

第七章 投资分析

第八章 市场机会及未来趋势

简介目录
Product Code: 50058

The Telecom Analytics Market size is estimated at USD 8.22 billion in 2025, and is expected to reach USD 13.74 billion by 2030, at a CAGR of 10.82% during the forecast period (2025-2030).

Telecom Analytics - Market - IMG1

The need for reducing churn is more important than ever, as the competition is increasing with the incidence of new entrants, who provide lucrative deals that are generally inexpensive than the incumbents. In addition, the increasing amount of unstructured and structured data requires effective analysis to get more profound insights into customer behavior and preferences. Real-time service usage patterns motivate these companies to adopt analytics.

Key Highlights

  • The telecom analytics market combines various sophisticated business intelligence (BI) technologies that satisfy the complex demands of the telecom industry. These include developing sales, reducing churn and deception, enhancing risk management, and decreasing operational costs. Hence, telecom organizations are adopting advanced analytics-driven data solutions for faster and simpler processing of only relevant data, helping them achieve timely and accurate insights using network analytics such as data mining and predictive analytics.
  • Moreover, the telecommunications industry is entering a new era and increasing need for a new customer focus - enterprises instead of consumers, new technologies in 5G and the cloud, and fundamentally new ways of working to deliver agile, faster services using analytics and data science. As of January 2023, the GSA reports that there are 243 commercial 5G deployments worldwide, with 112 operators investing in standalone 5G. This commercialization will lead to new B2B and B2B2X applications. In doing so, operators need to ensure that they can serve these customers beyond simply expanding capacity or flexibly changing service levels and resources.
  • For instance, in February 2023, Oracle Corporation announced to release the second application in our Network Analytics portfolio, the Oracle Network Analytics Data Director which enables operators to flexibly integrate their 5G core into their existing operational tools, even for network functions that are not provided by Oracle. Oracle Communications Network Analytics Data Director basically ingests traffic from various sources such as Oracle 5G network functions such as Service Communication Proxy (SCP) and Network Repository Function (NRF) and distributes it to subscriber applications.Both incoming and outgoing data are encrypted, allowing users to guarantee end-to-end data transfer.
  • Telecom analytics service is expected to be hosted on the cloud because of the large number of mobile users worldwide. Hence, cloud hosting is also set to expand further due to the continuous rise in the consumer base. Thus, the adoption of this technology by communications service providers (CSPs) is growing significantly.
  • Telecom analytics has been helping communications service providers (CSPs) to boost productivity, enhance customer satisfaction, and grow revenues. For instance, Nokia Corporation's Nokia AVA analytics and insights helped many leading telecom companies re-engineer their market measurement products. POST Luxembourg, a Tier-1 service provider, used Nokia AVA to proactively identify and solve 97% of network issues before they could affect subscribers. Moreover, Hutchison 3 Indonesia improved the spectral efficiency of its network by 17%. Additionally, Vodafone solves network issues up to 30% faster by using Bell Labs machine learning algorithms that detect anomalies and help automate root cause analysis.
  • The improvements in data infrastructure have enabled the use of analytics in the telecom industry, owing to which data-rich carriers can yield meaningful intelligence to transform their businesses. Telecom analytics allows pages to merge and analyze customer data related to spending and plans and behaviour data like internet usage or duration of networking activities.
  • Due to the proliferation of smart devices and the increasing use of IP networks, the telecom industry is experiencing a resurgence of communications fraud. As attacks can come from any source, scam has emerged as the most troublesome problem for the telecom market. Due to this, authorities are initiating regulations for the telecoms sector safety. In India, the Telecom Regulatory Authority of India has issued stringent rules and penalties for failing to meet the voice quality benchmark. It is expected to increase the demand for network analytics solutions in the country.
  • During the COVID-19 pandemic outbreak, the overall utilization of telecom analytics has expanded. Due to the factors like the increased pressure on broadband caused by the ability to work from home, the rise in online streaming platforms, improved visibility of internal processes, and essential operations by telecom analytics, the demand for telecom analytics has grown during the active lockdown period.

Telecom Analytics Market Trends

The surge in need for churn reduction

  • In the context of the telecom sector, churn can be defined as the percentage of subscribers who switch service providers within a predetermined time frame. Companies are putting a lot of effort into lowering churn since if the percentage increases year over year, it damages the company's brand. This badly impacts future sales and business for the corporation. According to krtrimaiq, New Jersey and California have the highest churn percentage in the US.
  • By using telecom analytics, it cut churn by 15%. Telecom service providers demand customer churn analytics solutions to prevent revenue loss, enhance customer service, and save marketing and sales expenses. By implementing telecom analytics solutions, carriers can learn extensively from subscriber usage data to identify subscriber behavior patterns and enhance customer experiences. Additionally, it gives telecom providers the ability to cross-sell and up-sell.
  • Telecom analytics is very important as it gives telecom companies an overview of their customers and allows them to identify the most profitable, least profitable, etc. At the same time, it also allows tracking the evolution of customer relationships (purchases, renewals, issues) and seeing where each customer is in the customer journey.
  • Furthermore, one of the benefits of telecom analytics is in customer management all customer data is securely stored in one system and can be accessed at any time. As it's important to have a consistent way to collect details about each consumer for later analysis.
  • Moreover, mobile phone companies such as Bharti Airtel, Reliance Jio, and Vodafone are using artificial intelligence to enhance customer experience through their customer service touchpoints call centers, and network offerings and try to find ways to improve subscriber stickiness and reduce churn.
  • Additionally, companies in the market are providing telecom analytics solutions laced with machine learning to understand attitudes, enabling carriers to identify at-risk subscribers or the causes of current and prospective churn. As a result, businesses are developing marketing or customer service initiatives to reduce turnover. Additionally, it can spot subscribers ready for data plan upgrades and prospective customers for new services. In the telecom sector, churn analytics also makes it possible to predict when customers will likely transfer carriers or service providers.
  • Customers in the telecom sector have a variety of service providers to select from, and they can actively switch between operators. The telecoms sector has an average annual churn rate of 15 to 25 percent in this fiercely competitive market. Customer retention has now surpassed customer acquisition in importance since it is 5-10 times more expensive to gain new customers than to keep existing ones. Retaining highly profitable consumers is the top business objective for many established operators. Telecom businesses must identify the consumers who are most likely to leave to reduce customer turnover.
  • In the first quarter of Vodafone's financial year 2021/2022, the prepaid churn rate in Germany was 11.3 percent. Vodafone has the highest churn rate among its prepaying customers in the United Kingdom (UK), where the churn rate is 91.9 percent. Since the churn rate is higher in these regions, the need for churn reduction is growing significantly.

North America to Hold the Largest Market Share

  • North America is anticipated to occupy a significant market share in the telecom analytics market, primarily owing to the region's high expenditure on business intelligence solutions. Besides, telecommunications in the region is highly developed with intense competition among the communication providers, which is expected further to boost the region's telecom analytics market.
  • The continuous advancements in IT infrastructure and technology used for customer support, the presence of a large number of market vendors, and the accessibility of proficient technical expertise in managing the modern customer experience and helpdesk software contribute to the telecom analytics market growth in the region. Furthermore, North American companies actively make strategic mergers and acquisitions. For instance, American technology giant IBM acquired Sanovi Technologies to bolster its cloud offerings. Sanovi provides cloud migration, business continuity, and hybrid cloud recovery software for enterprise data centres and cloud infrastructure.
  • Moreover, the BYOD policy is probably driven by the growing popularity of tablets and smartphones in the US. For instance, the US Census Bureau and Consumer Technology Association predicted in January 2022 that sales of smartphones in the US would rise from USD 73 billion in 2021 to USD 74.7 billion in 2022. This is anticipated to increase further with the quick adoption of IoT across numerous sectors and companies. Hence, with the rise of smartphone users, the probability of fraud or scams is also increasing, which in turn is fueling the growth of this telecom analytics market exponentially.
  • North America has a few of the world's largest cellular service providers, who rely enormously on consumer feedback. Thus, by opting for telecom analytics, CSPs in the region can offer better quality service at high efficiency. For instance, Verizon, a telecommunications provider in the United States, has deployed various analytic solutions and AI groups around the company. On the other hand, the Data Science and Cognitive Intelligence group focus on implementing analytics and cognitive technology in Verizon's customer interactions. The increased focus of other vendors in order to follow the same would boost the demand for telecom analytics solutions in the region.
  • Furthermore, the rising government initiative and investment to support the internet penetration in the country will increase the demand for telecom analytics market. For instance, in July 2022, the United States Department of Agriculture (USDA) has announced a USD 401 million investment to bring high-speed Internet access to businesses and 31,000 rural residents in 11 states. This is part of the US government's commitment to investing in affordable high-speed internet and rural infrastructure.
  • In a research study released by Stormforge in April 2021, 18% of respondents from North America claim that their firm spends between $100,000 and $250,000 per month on cloud computing. In addition, 32% of respondents predict that their organization's cloud spending will expand significantly over the following 12 months, while 44% predict a slight increase in cloud spending over the same period. Additionally, as per 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. This trend of high spending on cloud services will drive the growth of the telecom analytics market in the region.

Telecom Analytics Industry Overview

The Telecom Analytics Market is very competitive and moving towards the fragmented stage as the market currently consists of many players. Several key players in the global telecom analytics market are in constant efforts to bring product advancements. A few prominent companies are entering into collaborations and expanding their footprints in developing regions to consolidate their positions in the market. The major players are Huawei Technologies, SAP SE, and Oracle Corp.

  • March 2023- IBM Corporation announced to provide intelligent automation software to Telecom Egypt (TE) to implement an umbrella solution for all its operations support systems (OSS) on mobile, fixed, and core networks. Telecom Egypt will adopt IBM Cloud Pak for Watson AIOps deployed on RedHat OpenShift to implement an IBM Robotic Process Automation (RPA) solution. The solution provides TE with a holistic view of its entire IT environment to help them innovate faster, reduce operating costs, and minimize the time to troubleshoot and resolve network-related incidents.
  • February 2023- Bharti Airtel announced to build an AI-based solution by collaborating with NVIDIA to improve the overall customer experience for all inbound calls to its contact center. The company runs an automated speech recognition algorithm on 84% of its calls coming into its contact centers. This will help the company identify improvement areas for the agent when interacting with the consumers, leading to a better customer experience. The company has leveraged the NVIDIANeMo conversational AI toolkit to develop this specialized speech application and NVIDIA AI enterprise software suite.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 Market Insights

  • 4.1 Market Overview
  • 4.2 Value Chain Analysis
  • 4.3 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.3.1 Threat of New Entrants
    • 4.3.2 Bargaining Power of Buyers
    • 4.3.3 Bargaining Power of Suppliers
    • 4.3.4 Threat of Substitute Products
    • 4.3.5 Intensity of Competitive Rivalry
  • 4.4 Impact of Covid-19 on the Market
  • 4.5 Market Dynamics
    • 4.5.1 The surge in need for churn reduction
    • 4.5.2 Increasing Vulnerability to Fraudulent Activities
  • 4.6 Market Restraints
    • 4.6.1 Lack of Awareness Among Telecom Operators

5 MARKET SEGMENTATION

  • 5.1 By Application
    • 5.1.1 Customer Analytics
    • 5.1.2 Network Analytics
    • 5.1.3 Market Analytics
    • 5.1.4 Price Analytics
    • 5.1.5 Service Analytics
    • 5.1.6 Other Applications
  • 5.2 By Deployment
    • 5.2.1 Cloud
    • 5.2.2 On-premise
  • 5.3 By Geography
    • 5.3.1 North America
      • 5.3.1.1 United States
      • 5.3.1.2 Canada
    • 5.3.2 Europe
      • 5.3.2.1 United Kingdom
      • 5.3.2.2 Germany
      • 5.3.2.3 France
      • 5.3.2.4 Rest of Europe
    • 5.3.3 Asia Pacific
      • 5.3.3.1 China
      • 5.3.3.2 India
      • 5.3.3.3 Japan
      • 5.3.3.4 Rest of Asia Pacific
    • 5.3.4 Rest of the World
      • 5.3.4.1 Latin America
      • 5.3.4.2 Middle East and Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Company Profiles
    • 6.1.1 Dell Inc.
    • 6.1.2 Oracle Corporation
    • 6.1.3 IBM Corporation
    • 6.1.4 SAP SE
    • 6.1.5 Microsoft Corporation
    • 6.1.6 InfoFaces Inc.
    • 6.1.7 Accenture PLC
    • 6.1.8 Huawei Technologies Co. Ltd
    • 6.1.9 Teradata Corporation
    • 6.1.10 Wipro Limited
    • 6.1.11 Nokia Corporation

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS