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1284253

到 2028 年的人工智能市場預測——按組件（解決方案、服務）、部署模式（雲、本地）、技術、應用程序、地區進行的全球分析

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個工作天內

價格

根據Stratistics MRC，2022年全球電信人工智能市場規模將達到16億美元，預計2028年將達到135億美元，預測期內佔比41.4%。以復合年增長率增長

為了分析大量數據，例如數據消耗、通話記錄和應用程序使用情況，電信中的人工智能採用了可以推斷人類感知的軟件和算法。 這使我們能夠改善客戶體驗。 此外，人工智能還協助電信公司檢測網絡故障、網絡安全、網絡優化並提供虛擬支持。

根據思科系統的數據，大數據量預計將從 2016 年的 51 艾字節增長到去年的 403 艾字節，增長率約為 7 倍。

市場動態：

驅動程序

AI技術在運營商應用中的應用越來越廣泛

電信公司將網絡維護放在首位，加速了人工智能在電信行業的採用和接受。 網絡中斷暴露了公司缺乏誠信和不尊重客戶的行為。 此外，該公司還因網絡故障而蒙受經濟損失。 因此，人工智能正在被用來解決這個問題。 隨著運營商可以使用 AI 快速識別問題，電信行業對人工智能的需求正在增長。

約束

AI技術與通信網絡不兼容

在預測期內，兼容性問題、人工智能算法的不可靠性、熟練工人的短缺以及保護敏感數據的挑戰將成為阻礙人工智能在電信市場增長的主要障礙。 兼容性問題本質上限制了全球人工智能在電信市場的增長，因為將它們集成到電信解決方案中的人工智能中可能會涉及到潛在的複雜性。

機會

5G 技術在智能手機中的出現

在電信領域，目前正在從第 4 代 (4G) 向第 5 代 (5G) 移動通信過渡。 具有極低延遲的 5G 技術有望提供更快的數據傳輸速度。 此外，電信公司正在建設必要的基礎設施，為物聯網 (IoT) 控制的每個行業提供服務。 通過將谷歌雲的分析、人工智能/機器學習和網絡功能與 AT&T Intellectual Property 的 5G 網絡功能相結合，兩家公司正在構建 5G 解決方案。

威脅

數據不足，數據不佳

AI 系統通過訓練一組與手頭問題相關的數據來工作。 然而，公司通常難以為 AI 算法提供正確類型和數量的數據，因為數據要麼無法充分訪問，要麼當前不可用。 在使用人工智能係統時，這種不平衡會產生不一致或歧視性的結果。 其中一些成本是不可避免的，但可以通過考慮免費或低成本的培訓計劃來減少。 有許多解決方案可以幫助您在花錢之前確定您的培訓計劃將從哪些 AI 功能中受益。

COVID-19 的影響：

隨著數字滲透率在 COVID-19 封鎖和嚴格的社會疏遠政策期間急劇增加，進一步增加了對遠程操作工具（如人工智能工具）的需求，電信全球市場分析中的人工智能在 COVID- 19大流行。 與人類歷史上的任何其他事件相比，冠狀病毒/COVID-19 大流行進一步強調了電信基礎設施在保持組織、政府和社區的聯繫和運作方面發揮的關鍵作用。

數據分析領域預計在預測期內將成為最大的領域

據估計，數據分析行業將經歷有利可圖的增長。 數據分析越來越多地使用專門的硬件和軟件進行。 數據分析技術和方法在商業中被廣泛採用，以做出更好的商業決策。 科學家和研究人員還使用分析工具來支持或反駁科學模型、想法和假設。 企業可以使用數據分析來為決策提供信息並減少財務損失。 數據分析可以幫助組織提高運營效率。 組織可以使用數據分析來更好地評估危害並實施預防措施，從而推動市場增長。

虛擬輔助部門的複合年增長率預計在預測期內最高。

預計虛擬協助部分在預測期內的複合年增長率最高，因為運營商可以通過自動化客戶服務節省大量成本。 在電信領域，客戶服務聊天機器人也可能得到適當的培訓，因為機器學習算法可以自動查詢並將消費者引導至最合適的代理。 借助人工智能，運營商可以從用戶的角度收集和檢查消費者數據。

市場份額最高的地區

由於越來越多的運營商利用自動化和 AI 進行網絡優化和客戶服務來推動區域擴張，預計北美在預測期內將佔據最高的市場份額。 例如，AT&T Intellectual Property 於 2018 年在美國推出了具有邊緣 AI 計算的移動 5G。 美國運營商使用 CUJO LLC 的 AI 網絡安全解決方案來保護他們的網絡。

複合年增長率最高的地區：

亞太地區預計在預測期內的複合年增長率最高，這歸因於中國和印度等發展中國家的技術發展速度更快。這就是原因。 例如，互聯網接入和移動通信服務供應商中國電信股份有限公司正在與全球電信設備和消費電子產品供應商華為技術有限公司合作。 該合作夥伴關係有望探索基於網絡人工智能引擎（NAIE）的無線網絡小區異常檢測和無線小區容量預測。

主要發展：

2023 年 5 月，英特爾和 SAP 將開始戰略合作以擴展雲功能。此次合作將帶來由第四代英特爾(R) 至強(R) 可擴展處理器提供支持的極其強大和安全的實例。英特爾致力於提供SAP 的軟件將深化。

2023 年 4 月，Intel Foundry 和 Arm 宣布就尖端 SoC 設計展開多代合作。 合作最初將專注於移動 SoC 設計，並將潛在的設計擴展到汽車、物聯網 (IoT)、數據中心、航空航天和政府應用。

2023 年 4 月，IBM 宣布推出新的 QRadar 安全套件以加速威脅檢測和響應，擴展 QRadar 品牌，橫跨所有核心威脅檢測、調查和響應技術，引領跨產品組合的創新，並進行了大量投資。

本報告內容

  • 區域和國家級細分市場的市場份額評估
  • 向新進入者提出戰略建議
  • 2020、2021、2022、2025 和 2028 年的綜合市場數據
  • 市場趨勢（驅動因素、制約因素、機會、威脅、挑戰、投資機會、建議）
  • 根據市場預測在關鍵業務領域提出戰略建議
  • 競爭格局映射關鍵共同趨勢。
  • 公司簡介，包括詳細的戰略、財務狀況和近期發展
  • 映射最新技術進步的供應鏈趨勢

免費定制優惠：

購買此報告的客戶將獲得以下免費定制選項之一：

  • 公司簡介
    • 其他市場參與者的綜合概況（最多 3 家公司）
    • 主要參與者的 SWOT 分析（最多 3 家公司）
  • 區域細分
    • 根據客戶的要求對主要國家/地區的市場估計/預測/複合年增長率（注意：基於可行性檢查）。
  • 競爭基準
    • 根據產品組合、區域影響力和戰略聯盟對主要參與者進行基準測試

內容

第 1 章執行摘要

第二章前言

  • 概覽
  • 利益相關者
  • 調查範圍
  • 調查方法
    • 數據挖掘
    • 數據分析
    • 數據驗證
    • 研究方法
  • 調查來源
    • 主要研究來源
    • 二級研究來源
    • 假設

第三章市場趨勢分析

  • 司機
  • 約束因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 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
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭公司之間的敵對關係

第 5 章全球人工智能通信市場：按組件分類

  • 解決方案
  • 服務
    • 專業服務
    • 託管服務

第 6 章全球通信人工智能市場：按部署模式

  • 雲
  • 本地

第 7 章全球通信人工智能市場：按技術分類

  • 數據分析
  • 機器學習
  • 自然語言處理 (NLP)
  • 其他技術

第 8 章全球人工智能通信市場：按應用分類

  • 網絡安全
  • 客戶分析
  • 自我診斷
  • 網絡優化
  • 虛擬助理
  • 其他用途

第 9 章全球通信人工智能市場：按地區

  • 北美
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 意大利
    • 法國
    • 西班牙
    • 其他歐洲
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳大利亞
    • 新西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 其他南美洲
  • 中東和非洲
    • 沙特阿拉伯
    • 阿拉伯聯合酋長國
    • 卡塔爾
    • 南非
    • 其他中東和非洲地區

第10章主要發展

  • 合同、夥伴關係、協作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第11章公司簡介

  • 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)