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市场调查报告书
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1284253

到 2028 年的人工智能市场预测——按组件（解决方案、服务）、部署模式（云、本地）、技术、应用程序、地区进行的全球分析

Artificial Intelligence in Telecommunication Market Forecasts to 2028 - Global Analysis By Component (Solution and Service), Deployment Mode (Cloud and On-Premise), Technology, Application and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 175+ Pages | 商品交期: 2-3个工作天内

价格

根据Stratistics MRC，2022年全球电信人工智能市场规模将达到16亿美元，预计2028年将达到135亿美元，预测期内占比41.4%。以復合年增长率增长

为了分析大量数据，例如数据消耗、通话记录和应用程序使用情况，电信中的人工智能采用了可以推断人类感知的软件和算法。 这使我们能够改善客户体验。 此外，人工智能还协助电信公司检测网络故障、网络安全、网络优化并提供虚拟支持。

根据思科系统的数据，大数据量预计将从 2016 年的 51 艾字节增长到去年的 403 艾字节，增长率约为 7 倍。

市场动态：

驱动程序

AI技术在运营商应用中的应用越来越广泛

电信公司将网络维护放在首位，加速了人工智能在电信行业的采用和接受。 网络中断暴露了公司缺乏诚信和不尊重客户的行为。 此外，该公司还因网络故障而蒙受经济损失。 因此，人工智能正在被用来解决这个问题。 随着运营商可以使用 AI 快速识别问题，电信行业对人工智能的需求正在增长。

约束

AI技术与通信网络不兼容

在预测期内，兼容性问题、人工智能算法的不可靠性、熟练工人的短缺以及保护敏感数据的挑战将成为阻碍人工智能在电信市场增长的主要障碍。 兼容性问题本质上限制了全球人工智能在电信市场的增长，因为将它们集成到电信解决方案中的人工智能中可能会涉及到潜在的复杂性。

机会

5G 技术在智能手机中的出现

在电信领域，目前正在从第 4 代 (4G) 向第 5 代 (5G) 移动通信过渡。 具有极低延迟的 5G 技术有望提供更快的数据传输速度。 此外，电信公司正在建设必要的基础设施，为物联网 (IoT) 控制的每个行业提供服务。 通过将谷歌云的分析、人工智能/机器学习和网络功能与 AT&T Intellectual Property 的 5G 网络功能相结合，两家公司正在构建 5G 解决方案。

威胁

数据不足，数据不佳

AI 系统通过训练一组与手头问题相关的数据来工作。 然而，公司通常难以为 AI 算法提供正确类型和数量的数据，因为数据要么无法充分访问，要么当前不可用。 在使用人工智能係统时，这种不平衡会产生不一致或歧视性的结果。 其中一些成本是不可避免的，但可以通过考虑免费或低成本的培训计划来减少。 有许多解决方案可以帮助您在花钱之前确定您的培训计划将从哪些 AI 功能中受益。

COVID-19 的影响：

随着数字渗透率在 COVID-19 封锁和严格的社会疏远政策期间急剧增加，进一步增加了对远程操作工具（如人工智能工具）的需求，电信全球市场分析中的人工智能在 COVID- 19大流行。 与人类历史上的任何其他事件相比，冠状病毒/COVID-19 大流行进一步强调了电信基础设施在保持组织、政府和社区的联繫和运作方面发挥的关键作用。

数据分析领域预计在预测期内将成为最大的领域

据估计，数据分析行业将经历有利可图的增长。 数据分析越来越多地使用专门的硬件和软件进行。 数据分析技术和方法在商业中被广泛采用，以做出更好的商业决策。 科学家和研究人员还使用分析工具来支持或反驳科学模型、想法和假设。 企业可以使用数据分析来为决策提供信息并减少财务损失。 数据分析可以帮助组织提高运营效率。 组织可以使用数据分析来更好地评估危害并实施预防措施，从而推动市场增长。

虚拟辅助部门的复合年增长率预计在预测期内最高。

预计虚拟协助部分在预测期内的复合年增长率最高，因为运营商可以通过自动化客户服务节省大量成本。 在电信领域，客户服务聊天机器人也可能得到适当的培训，因为机器学习算法可以自动查询并将消费者引导至最合适的代理。 借助人工智能，运营商可以从用户的角度收集和检查消费者数据。

市场份额最高的地区

由于越来越多的运营商利用自动化和 AI 进行网络优化和客户服务来推动区域扩张，预计北美在预测期内将占据最高的市场份额。 例如，AT&T Intellectual Property 于 2018 年在美国推出了具有边缘 AI 计算的移动 5G。 美国运营商使用 CUJO LLC 的 AI 网络安全解决方案来保护他们的网络。

复合年增长率最高的地区：

亚太地区预计在预测期内的复合年增长率最高，这归因于中国和印度等发展中国家的技术发展速度更快。这就是原因。 例如，互联网接入和移动通信服务供应商中国电信股份有限公司正在与全球电信设备和消费电子产品供应商华为技术有限公司合作。 该合作伙伴关係有望探索基于网络人工智能引擎（NAIE）的无线网络小区异常检测和无线小区容量预测。

主要发展：

2023 年 5 月，英特尔和 SAP 将开始战略合作以扩展云功能。此次合作将带来由第四代英特尔(R) 至强(R) 可扩展处理器提供支持的极其强大和安全的实例。英特尔致力于提供SAP 的软件将深化。

2023 年 4 月，Intel Foundry 和 Arm 宣布就尖端 SoC 设计展开多代合作。 合作最初将专注于移动 SoC 设计，并将潜在的设计扩展到汽车、物联网 (IoT)、数据中心、航空航天和政府应用。

2023 年 4 月，IBM 宣布推出新的 QRadar 安全套件以加速威胁检测和响应，扩展 QRadar 品牌，横跨所有核心威胁检测、调查和响应技术，引领跨产品组合的创新，并进行了大量投资。

本报告内容

  • 区域和国家级细分市场的市场份额评估
  • 向新进入者提出战略建议
  • 2020、2021、2022、2025 和 2028 年的综合市场数据
  • 市场趋势（驱动因素、制约因素、机会、威胁、挑战、投资机会、建议）
  • 根据市场预测在关键业务领域提出战略建议
  • 竞争格局映射关键共同趋势。
  • 公司简介，包括详细的战略、财务状况和近期发展
  • 映射最新技术进步的供应链趋势

免费定制优惠：

购买此报告的客户将获得以下免费定制选项之一：

  • 公司简介
    • 其他市场参与者的综合概况（最多 3 家公司）
    • 主要参与者的 SWOT 分析（最多 3 家公司）
  • 区域细分
    • 根据客户的要求对主要国家/地区的市场估计/预测/复合年增长率（注意：基于可行性检查）。
  • 竞争基准
    • 根据产品组合、区域影响力和战略联盟对主要参与者进行基准测试

内容

第 1 章执行摘要

第二章前言

  • 概览
  • 利益相关者
  • 调查范围
  • 调查方法
    • 数据挖掘
    • 数据分析
    • 数据验证
    • 研究方法
  • 调查来源
    • 主要研究来源
    • 二级研究来源
    • 假设

第三章市场趋势分析

  • 司机
  • 约束因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 新兴市场
  • COVID-19 的影响

第 4 章波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争公司之间的敌对关係

第 5 章全球人工智能通信市场：按组件分类

  • 解决方案
  • 服务
    • 专业服务
    • 託管服务

第 6 章全球通信人工智能市场：按部署模式

  • 云
  • 本地

第 7 章全球通信人工智能市场：按技术分类

  • 数据分析
  • 机器学习
  • 自然语言处理 (NLP)
  • 其他技术

第 8 章全球人工智能通信市场：按应用分类

  • 网络安全
  • 客户分析
  • 自我诊断
  • 网络优化
  • 虚拟助理
  • 其他用途

第 9 章全球通信人工智能市场：按地区

  • 北美
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 意大利
    • 法国
    • 西班牙
    • 其他欧洲
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳大利亚
    • 新西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中东和非洲
    • 沙特阿拉伯
    • 阿拉伯联合酋长国
    • 卡塔尔
    • 南非
    • 其他中东和非洲地区

第10章主要发展

  • 合同、伙伴关係、协作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第11章公司简介

  • Intel Corporation
  • ZTE Corporation
  • IBM Corporation
  • Google LLC
  • Microsoft
  • Salesforce, Inc
  • Cisco Systems, Inc
  • AT&T
  • Infosys Limited
  • Evolv Technology Solutions, Inc.
  • NVIDIA Corporation
  • Wipro Limited
  • AIBrain LLC
  • SoundHound Inc.
  • Visenze Pte Ltd
  • Twilio, Inc
  • Amazon Web Services Inc.
Product Code: SMRC23085

According to Stratistics MRC, the Global Artificial Intelligence in Telecommunication Market is accounted for $1.6 billion in 2022 and is expected to reach $13.5 billion by 2028 growing at a CAGR of 41.4% during the forecast period. In order to analyse massive data, such as data consumption, call history, and application use, artificial intelligence in telecom employs software and algorithms to estimate human perception. This helps to enhance the customer experience. Additionally, AI aids telecommunications companies in the detection of network faults, network security, network optimisation, and provision of virtual support.

According to Cisco Systems Inc, the volume of big data is poised to increase from 51 exabytes in 2016 to 403 exabytes in the last year, representing a growth rate of almost seven times.

Market Dynamics:

Driver:

AI technologies are being more widely used in telecom applications

As telecom corporations prioritised network maintenance, artificial intelligence in the telecommunications industry is gaining pace and acceptance. The company's lack of integrity and disrespect for its customers are exposed by a network outage. Additionally, the firm suffers financial losses as a result of network failure. Therefore, AI is being used to address this problem, as telecom businesses can quickly identify the issue using AI, there is a growing need for artificial intelligence in the telecommunications industry.

Restraint:

AI technology and telecommunications networks are incompatible

During the forecast period, issues with compatibility, the unreliability of artificial intelligence algorithms, a lack of skilled labour, and challenges with the protection of sensitive data are the main obstacles to the growth of AI in the telecommunications market. Due to potential complications with the integration of artificial intelligence in telecommunication solutions, compatibility issues are what essentially limit the growth of the worldwide artificial intelligence in telecommunication market.

Opportunity:

The advent of 5G technology in smartphones

The transition from fourth generation (4G) to fifth generation (5G) mobile communications is now taking place in the telecom sector. With extremely low latency rates, 5G technology is predicted to offer faster data transfer speeds. Additionally, telecom firms are constructing the infrastructure necessary to service every industry controlled by the Internet of Things (IoT). By fusing the analytics, AI/machine learning, and networking capabilities of Google Cloud with the 5G network capabilities of AT&T Intellectual Property, both firms are building 5G solutions.

Threat:

Insufficient or low-quality data

AI systems work by being trained on a collection of data that is pertinent to the problem at hand. However, businesses frequently struggle to feed their AI algorithms with the correct kind or quantity of data because they lack access to it or it isn't currently available. When using AI system, this imbalance may produce inconsistent or even discriminating outcomes may avoid this problem, sometimes referred to as the bias problem, by making sure use representative and high-quality data. ongoing AI training programme for staff, and presumably modernise IT infrastructure so that it can manage the demands of r machine learning tools if want to do it correctly. Even while some of these expenses can't be avoided, absolutely cut them down by looking into free or low-cost training programmes. Before investing money to buy them, there are a number of solutions that might assist determine which AI capabilities r training programme will benefit from.

COVID-19 Impact:

Due to the dramatically increased digital penetration during the time of COVID-19-induced lockdowns and strict social distancing policies, which further fueled the demand for remote operational tools like artificial intelligence tools, the global AI in telecommunication market analysis has experienced stable growth during the COVID-19 pandemic. More than any other occurrence in human history, the Coronavirus/COVID-19 pandemic has further underscored the crucial role that telecommunications infrastructure plays in keeping organisations, governments, and communities linked and operating.

The data analytics segment is expected to be the largest during the forecast period

The data analytics segment is estimated to have a lucrative growth. Data analytics is increasingly carried out with the use of specialised hardware and software. In order to help businesses, make better business decisions, data analytics technologies and methodologies are widely employed in the commercial sector. Analytics tools are also used by scientists and researchers to support or refute scientific models, ideas, and hypotheses. Businesses may employ data analytics to inform decision-making and reduce financial losses. Data analytics may help organisations increase operational effectiveness. An organisation may use data analytics to better evaluate hazards and implement preventative actions which propels the growth of the market.

The virtual assistance segment is expected to have the highest CAGR during the forecast period

The virtual assistance segment is anticipated to witness the highest CAGR growth during the forecast period, due to the enormous savings that customer service automation provides telecom firms; the virtual help category is anticipated to have the quickest growth throughout the projected period. In the communication sector, customer care chatbots may also be properly educated since machine learning algorithms can automate queries and direct consumers to the best representative. Operators may gather and examine consumer data from the viewpoint of a subscriber thanks to artificial intelligence.

Region with highest share:

North America is projected to hold the highest market share during the forecast period owing to the expansion of the region by the increasing number of telecom businesses that use automation and AI for network optimisation and customer care. For instance, AT&T Intellectual Property introduced mobile 5G with edge AI computing in the United States in 2018. The AI network security solutions from CUJO LLC are being used by telecom service providers in the US to safeguard their networks.

Region with highest CAGR:

Asia Pacific is projected to have the highest CAGR over the forecast period, owing to the quickening pace of technical development in developing nations like China and India is blamed for this expansion. For instance, China Telecom Corporation Ltd., a supplier of internet access and mobile telecommunications services, collaborates with Huawei Technologies Co., Ltd., a global provider of telecoms equipment and consumer electronics. This partnership is expected to investigate wireless network cell anomaly detection and radio cell capacity prediction based on the Network AI Engine (NAIE).

Key players in the market:

Some of the key players profiled in the Artificial Intelligence In Telecommunication Market include Intel Corporation, ZTE Corporation, IBM Corporation, Google LLC, Microsoft, Salesforce, Inc, Cisco Systems, Inc, AT&T, Infosys Limited, Evolv Technology Solutions, Inc., NVIDIA Corporation, Wipro Limited, AIBrain LLC, SoundHound Inc., Visenze Pte Ltd, Twilio, Inc and Amazon Web Services Inc.

Key Developments:

In May 2023, Intel and SAP Embark on Strategic Collaboration to Expand Cloud Capabilities the collaboration deepens Intel's focus on delivering extremely powerful and secure instances for SAP, powered by 4th Gen Intel® Xeon® Scalable processors.

In April 2023, Intel Foundry and Arm Announce Multigeneration Collaboration on Leading-Edge SoC Design, the collaboration will focus on mobile SoC designs first, but allow for potential design expansion into automotive, Internet of Things (IoT), data center, aerospace and government applications.

In April 2023, IBM Launches New QRadar Security Suite to Speed Threat Detection and Response, expansion of the QRadar brand, spanning all core threat detection, investigation and response technologies, with significant investment in innovations across the portfolio.

Components Covered:

  • Solution
  • Service

Deployment Modes Covered:

  • Cloud
  • On-Premise

Technologies Covered:

  • Data Analytics
  • Machine Learning
  • Natural Language Processing (NLP)
  • Other Technologies

Applications Covered:

  • Network Security
  • Customer Analytics
  • Self-Diagnostics
  • Network Optimization
  • Virtual Assistance
  • Other Applications

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 2020, 2021, 2022, 2025, and 2028
  • 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 Technology Analysis
  • 3.7 Application 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 Artificial Intelligence in Telecommunication Market, By Component

  • 5.1 Introduction
  • 5.2 Solution
  • 5.3 Service
    • 5.3.1 Professional Services
    • 5.3.2 Managed Services

6 Global Artificial Intelligence in Telecommunication Market, By Deployment Mode

  • 6.1 Introduction
  • 6.2 Cloud
  • 6.3 On-Premise

7 Global Artificial Intelligence in Telecommunication Market, By Technology

  • 7.1 Introduction
  • 7.2 Data Analytics
  • 7.3 Machine Learning
  • 7.4 Natural Language Processing (NLP)
  • 7.5 Other Technologies

8 Global Artificial Intelligence in Telecommunication Market, By Application

  • 8.1 Introduction
  • 8.2 Network Security
  • 8.3 Customer Analytics
  • 8.4 Self-Diagnostics
  • 8.5 Network Optimization
  • 8.6 Virtual Assistance
  • 8.7 Other Applications

9 Global Artificial Intelligence in Telecommunication Market, By Geography

  • 9.1 Introduction
  • 9.2 North America
    • 9.2.1 US
    • 9.2.2 Canada
    • 9.2.3 Mexico
  • 9.3 Europe
    • 9.3.1 Germany
    • 9.3.2 UK
    • 9.3.3 Italy
    • 9.3.4 France
    • 9.3.5 Spain
    • 9.3.6 Rest of Europe
  • 9.4 Asia Pacific
    • 9.4.1 Japan
    • 9.4.2 China
    • 9.4.3 India
    • 9.4.4 Australia
    • 9.4.5 New Zealand
    • 9.4.6 South Korea
    • 9.4.7 Rest of Asia Pacific
  • 9.5 South America
    • 9.5.1 Argentina
    • 9.5.2 Brazil
    • 9.5.3 Chile
    • 9.5.4 Rest of South America
  • 9.6 Middle East & Africa
    • 9.6.1 Saudi Arabia
    • 9.6.2 UAE
    • 9.6.3 Qatar
    • 9.6.4 South Africa
    • 9.6.5 Rest of Middle East & Africa

10 Key Developments

  • 10.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 10.2 Acquisitions & Mergers
  • 10.3 New Product Launch
  • 10.4 Expansions
  • 10.5 Other Key Strategies

11 Company Profiling

  • 11.1 Intel Corporation
  • 11.2 ZTE Corporation
  • 11.3 IBM Corporation
  • 11.4 Google LLC
  • 11.5 Microsoft
  • 11.6 Salesforce, Inc
  • 11.7 Cisco Systems, Inc
  • 11.8 AT&T
  • 11.9 Infosys Limited
  • 11.10 Evolv Technology Solutions, Inc.
  • 11.11 NVIDIA Corporation
  • 11.12 Wipro Limited
  • 11.11 AIBrain LLC
  • 11.14 SoundHound Inc.
  • 11.15 Visenze Pte Ltd
  • 11.16 Twilio, Inc
  • 11.17 Amazon Web Services Inc.

List of Tables

  • Table 1 Global Artificial Intelligence in Telecommunication Market Outlook, By Region (2020-2028) ($MN)
  • Table 2 Global Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 3 Global Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 4 Global Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 5 Global Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 6 Global Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 7 Global Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 8 Global Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 9 Global Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 10 Global Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 11 Global Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 12 Global Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 13 Global Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 14 Global Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 15 Global Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 16 Global Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 17 Global Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 18 Global Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 19 Global Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 20 Global Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 21 Global Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 22 North America Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
  • Table 23 North America Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 24 North America Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 25 North America Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 26 North America Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 27 North America Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 28 North America Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 29 North America Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 30 North America Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 31 North America Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 32 North America Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 33 North America Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 34 North America Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 35 North America Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 36 North America Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 37 North America Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 38 North America Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 39 North America Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 40 North America Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 41 North America Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 42 North America Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 43 Europe Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
  • Table 44 Europe Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 45 Europe Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 46 Europe Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 47 Europe Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 48 Europe Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 49 Europe Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 50 Europe Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 51 Europe Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 52 Europe Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 53 Europe Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 54 Europe Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 55 Europe Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 56 Europe Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 57 Europe Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 58 Europe Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 59 Europe Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 60 Europe Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 61 Europe Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 62 Europe Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 63 Europe Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 64 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
  • Table 65 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 66 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 67 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 68 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 69 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 70 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 71 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 72 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 73 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 74 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 75 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 76 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 77 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 78 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 79 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 80 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 81 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 82 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 83 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 84 Asia Pacific Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 85 South America Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
  • Table 86 South America Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 87 South America Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 88 South America Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 89 South America Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 90 South America Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 91 South America Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 92 South America Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 93 South America Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 94 South America Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 95 South America Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 96 South America Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 97 South America Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 98 South America Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 99 South America Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 100 South America Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 101 South America Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 102 South America Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 103 South America Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 104 South America Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 105 South America Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)
  • Table 106 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Country (2020-2028) ($MN)
  • Table 107 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Component (2020-2028) ($MN)
  • Table 108 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Solution (2020-2028) ($MN)
  • Table 109 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Service (2020-2028) ($MN)
  • Table 110 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Professional Services (2020-2028) ($MN)
  • Table 111 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Managed Services (2020-2028) ($MN)
  • Table 112 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Deployment Mode (2020-2028) ($MN)
  • Table 113 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Cloud (2020-2028) ($MN)
  • Table 114 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By On-Premise (2020-2028) ($MN)
  • Table 115 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Technology (2020-2028) ($MN)
  • Table 116 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Data Analytics (2020-2028) ($MN)
  • Table 117 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Machine Learning (2020-2028) ($MN)
  • Table 118 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Natural Language Processing (NLP) (2020-2028) ($MN)
  • Table 119 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Other Technologies (2020-2028) ($MN)
  • Table 120 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Application (2020-2028) ($MN)
  • Table 121 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Network Security (2020-2028) ($MN)
  • Table 122 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Customer Analytics (2020-2028) ($MN)
  • Table 123 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Self-Diagnostics (2020-2028) ($MN)
  • Table 124 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Network Optimization (2020-2028) ($MN)
  • Table 125 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Virtual Assistance (2020-2028) ($MN)
  • Table 126 Middle East & Africa Artificial Intelligence in Telecommunication Market Outlook, By Other Applications (2020-2028) ($MN)