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表紙：通信向け人工知能（AI）市場：世界の市場規模、シェア、動向分析、機会、予測レポート、2019年～2029年
市場調査レポート
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1301794

通信向け人工知能（AI）市場：世界の市場規模、シェア、動向分析、機会、予測レポート、2019年～2029年

Artificial Intelligence in Telecommunication Market - Global Size, Share, Trend Analysis, Opportunity and Forecast Report, 2019-2029, Segmented By Component ; By Deployment Model ; By Technology ; By Application ; By Region
出版日: | 発行: Blueweave Consulting | ページ情報: 英文 400 Pages | 納期: 2～3営業日

価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=156.76円
通信向け人工知能（AI）市場：世界の市場規模、シェア、動向分析、機会、予測レポート、2019年～2029年
出版日: 2023年06月21日
発行: Blueweave Consulting
ページ情報: 英文 400 Pages
納期: 2～3営業日
  • 全表示
  • 概要
  • 目次
概要

通信向け人工知能（AI）の世界市場規模が15倍以上に拡大、2029年までに364億米ドルに触れる

通信ネットワークで拡散するコンテンツを監視するニーズの高まり、スマートフォンにおける5G技術の登場の高まり、さまざまな通信アプリケーションにおけるAIソリューションの採用率の高さから、世界の通信向け人工知能（AI）市場は活況を呈しています。

大手戦略コンサルティング・市場調査会社のBlueWeave Consultingは最近の調査で、通信向け人工知能（AI）の世界市場規模を2022年に24億1,000万米ドルと推定しました。2023年から2029年の予測期間中、通信向け人工知能（AI）の世界市場規模はCAGR 40.25%で堅調に成長し、2029年には363億8,000万米ドルに達するとBlueWeaveは予測しています。通信向け人工知能（AI）の世界市場の主な成長促進要因には、効率的なネットワーク管理に対するニーズの高まり、データトラフィックの増加、パーソナライズされた顧客体験に対する需要の高まり、通信事業における自動化と予測保守の要件などがあります。ビデオストリーミングなどのOTT（Over-The-Top）サービスの出現は、オーディオビデオコンテンツの配信と消費を一変させました。OTTサービスのユーザー数が増え続けるにつれて、帯域幅需要も大幅に急増しています。OTTサービスによるこのトラフィックの急増は、通信業界に多大な運用コストをもたらします。しかし、電気通信分野でのAIの統合は、ネットワークの設定や保守に人間が関与する必要性を最小限に抑えることで、運用コストを削減するソリューションを提供します。また、自動化により、通信会社は顧客のオンボーディングプロセスを合理化し、新サービスの導入を加速することができます。その結果、これらの要因が予測期間中の通信向け人工知能（AI）の世界市場の拡大を促進すると予想されます。

本レポートの詳細な分析により、世界の通信向け人工知能（AI）市場の成長可能性、今後の動向、統計に関する情報を提供します。また、総市場規模の予測を促進する要因も取り上げています。当レポートは、通信向け人工知能（AI）の世界市場の最新技術動向と、意思決定者が健全な戦略的意思決定を行うための業界洞察を提供することをお約束します。さらに、市場の成長促進要因・課題・競争力についても分析しています。

目次

第1章 調査の枠組み

第2章 エグゼクティブサマリー

第3章 通信向け人工知能（AI）市場の洞察

  • 業界のバリューチェーン分析
  • DROC分析
    • 成長の原動力
      • さまざまな通信アプリケーションでのAIソリューションの採用の増加
      • スマートフォンにおける5Gテクノロジーの登場
      • 通信ネットワーク上に広がるコンテンツを監視するニーズの高まり
    • 抑制要因
      • 通信システムとAI技術の非互換性
    • 機会
      • 通信業界におけるクラウドベースのAI製品
      • AI搭載スマートフォンの活用
    • 課題
      • 不十分なスキル
      • 個人のプライバシーとアイデンティティに関する懸念
  • 技術の進歩/最近の開発
  • 規制の枠組み
  • ポーターのファイブフォース分析

第4章 通信向け人工知能（AI）市場概要

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
      • ソリューション
      • サービス
    • 展開モデル別
      • オンプレミス
      • クラウド
    • 技術別
      • 機械学習
      • 自然言語処理（NLP）
      • データアナリティクス
      • その他
    • 用途別
      • 顧客アナリティクス
      • ネットワークセキュリティ
      • ネットワーク最適化
      • 自己診断
      • 仮想アシスタンス
      • その他
    • 地域別
      • 北米
      • 欧州
      • アジア太平洋地域
      • ラテンアメリカ
      • 中東とアフリカ

第5章 北米の通信向け人工知能（AI）市場

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 技術別
    • 用途別
    • 国別
      • 米国
      • カナダ

第6章 欧州の通信向け人工知能（AI）市場

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 技術別
    • 用途別
    • 国別
      • ドイツ
      • 英国
      • イタリア
      • フランス
      • スペイン
      • ベルギー
      • ロシア
      • オランダ
      • その他欧州

第7章 アジア太平洋地域の通信向け人工知能（AI）市場

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 技術別
    • 用途別
    • 国別
      • 中国
      • インド
      • 日本
      • 韓国
      • オーストラリアとニュージーランド
      • インドネシア
      • マレーシア
      • シンガポール
      • ベトナム
      • APACのその他諸国

第8章 ラテンアメリカの通信向け人工知能（AI）市場

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 技術別
    • 用途別
    • 国別
      • ブラジル
      • アルゼンチン
      • ペルー
      • 中南米の残りの地域

第9章 中東およびアフリカの通信向け人工知能（AI）市場

  • 市場規模と金額別予測、2019～2029年
    • 金額別
  • 市場シェアと予測
    • コンポーネント別
    • 展開モデル別
    • 技術別
    • 用途別
    • 国別
      • サウジアラビア
      • アラブ首長国連邦
      • カタール
      • クウェート
      • 南アフリカ
      • ナイジェリア
      • アルジェリア
      • MEAの残りの部分

第10章 競合情勢

  • 主要企業とその製品のリスト
  • 通信会社における世界の人工知能市場シェア分析、2022年
  • 動作パラメータによる競合ベンチマーキング
  • 主要な戦略的開発（合併、買収、パートナーシップなど）

第11章 COVID-19が通信向け人工知能（AI）市場に与える影響

第12章 企業プロファイル（会社概要、財務マトリックス、競合情勢、主要な人材、主要な競合、連絡先住所、戦略的展望、 SWOT分析）

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.ai
  • Infosys
  • Salesforce
  • Nvidia
  • Other Prominent Players.

第13章 主要な戦略的推奨事項

第14章 調査手法

目次
Product Code: BWC23485

Global Artificial Intelligence (AI) in Telecommunication Market Size Zooming More Than 15X at Touch USD 36.4 Billion by 2029

Global artificial intelligence (AI) in telecommunication market is flourishing because of an increasing need for monitoring the content spread on telecommunication networks, growing advent of 5G technology in smartphones, and high adoption of AI solutions in various telecom applications

BlueWeave Consulting, a leading strategic consulting and market research firm, in its recent study, estimated global artificial intelligence (AI) in telecommunication market size at USD 2.41 billion in 2022. During the forecast period between 2023 and 2029, BlueWeave expects global artificial intelligence (AI) in telecommunication market size to grow at a robust CAGR of 40.25% reaching a value of USD 36.38 billion by 2029. Major growth drivers for the global artificial intelligence (AI) in telecommunication market include an increasing need for efficient network management, rising data traffic, growing demand for personalized customer experiences, and the requirement for automation and predictive maintenance in telecom operations. The emergence of Over-The-Top (OTT) services, such as video streaming, has transformed the distribution and consumption of audio and video content. As the number of OTT service users continues to rise, there is a significant surge in bandwidth demand. This surge in traffic from OTT services poses a considerable operational cost for the telecommunication industry. However, the integration of AI in the telecom sector offers a solution to reduce operational expenses by minimizing the need for human involvement in network configuration and maintenance. Also, automation enables telecom companies to streamline customer onboarding processes and accelerate the introduction of new services. Consequently, these factors are expected to drive the expansion of the global artificial intelligence (AI) in telecommunication market during the forecast period.

Global Artificial Intelligence in Telecommunication Market - Overview:

Artificial intelligence (AI) empowers the telecommunication industry to leverage its extensive datasets, facilitating streamlined business management and enhanced issue resolution. By harnessing AI capabilities, telecom companies can provide improved customer service and satisfaction. AI represents a cutting-edge technology that mimics human intelligence, enabling machines to make decisions. This transformative technology encompasses features, such as speech recognition, visual recognition, image recognition, and language translation, which are instrumental in driving market growth. Its impact extends across multiple industrial sectors, with telecommunication being particularly influenced. Within the realm of telecommunication, AI presents a wide array of application possibilities, including customer service optimization and network performance enhancement.

Impact of COVID-19 on Global Artificial Intelligence in Telecommunication Market

COVID-19 pandemic had a dual impact on the global artificial intelligence (AI) in telecommunication market. On the one hand, it accelerated the demand for AI-based solutions to manage increased network traffic, optimize resources, and enhance remote communication. This has fueled the adoption of AI in the telecommunication sector. On the other hand, supply chain disruptions and budget constraints have hindered the implementation of AI initiatives. Additionally, regulatory and privacy concerns surrounding AI usage in telecommunication have emerged. Despite the challenges, the recovery from the pandemic is expected to drive the resurgence of AI adoption, as the need for efficient network management and personalized customer experiences persists in the post-pandemic world.

Global Artificial Intelligence in Telecommunication Market - By Application:

Based on application, the global artificial intelligence (AI) in telecommunication market is divided into Customer Analytics Network Security, Network Optimization, Self-Diagnostics, and Virtual Assistance segments. The virtual assistance segment holds the highest share in the global artificial intelligence (AI) in telecommunication market due to its ability to revolutionize customer interactions and support services. Virtual assistants powered by AI can handle customer queries, provide personalized recommendations, and perform tasks like bill payments or service activations. This improves customer satisfaction, reduces wait times, and enhances operational efficiency. Virtual assistants are available round-the-clock and offer consistent service, thereby reducing the need for human intervention. They can also integrate with various channels like websites, apps, and voice interfaces, providing seamless and convenient customer experiences. The growing demand for enhanced customer support and the desire for self-service options contribute to the dominance of the virtual assistance segment in the AI in telecommunication market. Meanwhile, the customer analytics segment holds the second highest share in the global artificial intelligence (AI) in telecommunication market due to its critical role in improving customer understanding and driving personalized experiences. Telecom companies leverage customer analytics powered by AI to gain insights from vast amounts of customer data. These insights enable them to understand customer preferences, behavior patterns, and needs, allowing for targeted marketing campaigns, personalized offers, and improved customer retention. Customer analytics also helps in detecting potential churn, identifying high-value customers, and optimizing customer journeys. By harnessing the power of AI, telecom companies can make data-driven decisions and deliver tailored experiences that enhance customer satisfaction and loyalty. The increasing focus on customer-centric strategies and the need for competitive differentiation contribute to the significance of the customer analytics segment in the AI in telecommunication market.

Competitive Landscape:

Major players operating in the global artificial intelligence (AI) in telecommunication market include: IBM, Microsoft, Intel, Google, AT&T, Cisco Systems, Nuance Communications, Sentient Technologies, H2O.ai, Infosys, Salesforce, and Nvidia. To further enhance their market share, these companies employ various strategies, including mergers and acquisitions, partnerships, joint ventures, license agreements, and new product launches.

The in-depth analysis of the report provides information about growth potential, upcoming trends, and statistics of Global Artificial Intelligence (AI) in Telecommunication Market. It also highlights the factors driving forecasts of total market size. The report promises to provide recent technology trends in Global Artificial Intelligence (AI) in Telecommunication Market and industry insights to help decision-makers make sound strategic decisions. Furthermore, the report also analyzes the growth drivers, challenges, and competitive dynamics of the market.

Table of Contents

1. Research Framework

  • 1.1. Research Objective
  • 1.2. Product Overview
  • 1.3. Market Segmentation

2. Executive Summary

3. Global Artificial Intelligence (AI) in Telecommunication Market Insights

  • 3.1. Industry Value Chain Analysis
  • 3.2. DROC Analysis
    • 3.2.1. Growth Drivers
      • 3.2.1.1. Growing adoption of AI solutions in various telecom applications
      • 3.2.1.2. The advent of 5G technology in smartphones
      • 3.2.1.3. Rising Need for Monitoring the content spread on Telecommunication Networks
    • 3.2.2. Restraints
      • 3.2.2.1. Incompatibility between telecommunication systems and AI technology
    • 3.2.3. Opportunities
      • 3.2.3.1. Cloud based AI offerings in the Telecommunication Industry
      • 3.2.3.2. Utilization of AI-enabled Smartphones
    • 3.2.4. Challenges
      • 3.2.4.1. Insufficient Skills
      • 3.2.4.2. Concerns over the privacy and Identity of Individuals
  • 3.3. Technological Advancements/Recent Developments
  • 3.4. Regulatory Framework
  • 3.5. Porter's Five Forces Analysis
    • 3.5.1. Bargaining Power of Suppliers
    • 3.5.2. Bargaining Power of Buyers
    • 3.5.3. Threat of New Entrants
    • 3.5.4. Threat of Substitutes
    • 3.5.5. Intensity of Rivalry

4. Global Artificial Intelligence (AI) in Telecommunication Market Overview

  • 4.1. Market Size & Forecast by Value, 2019-2029
    • 4.1.1. By Value (USD Billion)
  • 4.2. Market Share & Forecast
    • 4.2.1. By Component
      • 4.2.1.1. Solution
      • 4.2.1.2. Service
    • 4.2.2. By Deployment Model
      • 4.2.2.1. On-premises
      • 4.2.2.2. Cloud
    • 4.2.3. By Technology
      • 4.2.3.1. Machine Learning
      • 4.2.3.2. Natural Language Processing (NLP)
      • 4.2.3.3. Data Analytics
      • 4.2.3.4. Others
    • 4.2.4. By Application
      • 4.2.4.1. Customer Analytics
      • 4.2.4.2. Network Security
      • 4.2.4.3. Network Optimization
      • 4.2.4.4. Self-Diagnostics
      • 4.2.4.5. Virtual Assistance
      • 4.2.4.6. Others
    • 4.2.5. By Region
      • 4.2.5.1. North America
      • 4.2.5.2. Europe
      • 4.2.5.3. Asia Pacific
      • 4.2.5.4. Latin America
      • 4.2.5.5. Middle East and Africa

5. North America Artificial Intelligence (AI) in Telecommunication Market

  • 5.1. Market Size & Forecast by Value, 2019-2029
    • 5.1.1. By Value (USD Billion)
  • 5.2. Market Share & Forecast
    • 5.2.1. By Component
    • 5.2.2. By Deployment Model
    • 5.2.3. By Technology
    • 5.2.4. By Application
    • 5.2.5. By Country
      • 5.2.5.1. United States
      • 5.2.5.1.1. By Component
      • 5.2.5.1.2. By Deployment Model
      • 5.2.5.1.3. By Technology
      • 5.2.5.1.4. By Application
      • 5.2.5.2. Canada
      • 5.2.5.2.1. By Component
      • 5.2.5.2.2. By Deployment Model
      • 5.2.5.2.3. By Technology
      • 5.2.5.2.4. By Application

6. Europe Artificial Intelligence (AI) in Telecommunication Market

  • 6.1. Market Size & Forecast by Value, 2019-2029
    • 6.1.1. By Value (USD Billion)
  • 6.2. Market Share & Forecast
    • 6.2.1. By Component
    • 6.2.2. By Deployment Model
    • 6.2.3. By Technology
    • 6.2.4. By Application
    • 6.2.5. By Country
      • 6.2.5.1. Germany
      • 6.2.5.1.1. By Component
      • 6.2.5.1.2. By Deployment Model
      • 6.2.5.1.3. By Technology
      • 6.2.5.1.4. By Application
      • 6.2.5.2. United Kingdom
      • 6.2.5.2.1. By Component
      • 6.2.5.2.2. By Deployment Model
      • 6.2.5.2.3. By Technology
      • 6.2.5.2.4. By Application
      • 6.2.5.3. Italy
      • 6.2.5.3.1. By Component
      • 6.2.5.3.2. By Deployment Model
      • 6.2.5.3.3. By Technology
      • 6.2.5.3.4. By Application
      • 6.2.5.4. France
      • 6.2.5.4.1. By Component
      • 6.2.5.4.2. By Deployment Model
      • 6.2.5.4.3. By Technology
      • 6.2.5.4.4. By Application
      • 6.2.5.5. Spain
      • 6.2.5.5.1. By Component
      • 6.2.5.5.2. By Deployment Model
      • 6.2.5.5.3. By Technology
      • 6.2.5.5.4. By Application
      • 6.2.5.6. Belgium
      • 6.2.5.6.1. By Component
      • 6.2.5.6.2. By Deployment Model
      • 6.2.5.6.3. By Technology
      • 6.2.5.6.4. By Application
      • 6.2.5.7. Russia
      • 6.2.5.7.1. By Component
      • 6.2.5.7.2. By Deployment Model
      • 6.2.5.7.3. By Technology
      • 6.2.5.7.4. By Application
      • 6.2.5.8. The Netherlands
      • 6.2.5.8.1. By Component
      • 6.2.5.8.2. By Deployment Model
      • 6.2.5.8.3. By Technology
      • 6.2.5.8.4. By Application
      • 6.2.5.9. Rest of Europe
      • 6.2.5.9.1. By Component
      • 6.2.5.9.2. By Deployment Model
      • 6.2.5.9.3. By Technology
      • 6.2.5.9.4. By Application

7. Asia Pacific Artificial Intelligence (AI) in Telecommunication Market

  • 7.1. Market Size & Forecast by Value, 2019-2029
    • 7.1.1. By Value (USD Billion)
  • 7.2. Market Share & Forecast
    • 7.2.1. By Component
    • 7.2.2. By Deployment Model
    • 7.2.3. By Technology
    • 7.2.4. By Application
    • 7.2.5. By Country
      • 7.2.5.1. China
      • 7.2.5.1.1. By Component
      • 7.2.5.1.2. By Deployment Model
      • 7.2.5.1.3. By Technology
      • 7.2.5.1.4. By Application
      • 7.2.5.2. India
      • 7.2.5.2.1. By Component
      • 7.2.5.2.2. By Deployment Model
      • 7.2.5.2.3. By Technology
      • 7.2.5.2.4. By Application
      • 7.2.5.3. Japan
      • 7.2.5.3.1. By Component
      • 7.2.5.3.2. By Deployment Model
      • 7.2.5.3.3. By Technology
      • 7.2.5.3.4. By Application
      • 7.2.5.4. South Korea
      • 7.2.5.4.1. By Component
      • 7.2.5.4.2. By Deployment Model
      • 7.2.5.4.3. By Technology
      • 7.2.5.4.4. By Application
      • 7.2.5.5. Australia & New Zealand
      • 7.2.5.5.1. By Component
      • 7.2.5.5.2. By Deployment Model
      • 7.2.5.5.3. By Technology
      • 7.2.5.5.4. By Application
      • 7.2.5.6. Indonesia
      • 7.2.5.6.1. By Component
      • 7.2.5.6.2. By Deployment Model
      • 7.2.5.6.3. By Technology
      • 7.2.5.6.4. By Application
      • 7.2.5.7. Malaysia
      • 7.2.5.7.1. By Component
      • 7.2.5.7.2. By Deployment Model
      • 7.2.5.7.3. By Technology
      • 7.2.5.7.4. By Application
      • 7.2.5.8. Singapore
      • 7.2.5.8.1. By Component
      • 7.2.5.8.2. By Deployment Model
      • 7.2.5.8.3. By Technology
      • 7.2.5.8.4. By Application
      • 7.2.5.9. Vietnam
      • 7.2.5.9.1. By Component
      • 7.2.5.9.2. By Deployment Model
      • 7.2.5.9.3. By Technology
      • 7.2.5.9.4. By Application
      • 7.2.5.10. Rest of APAC
      • 7.2.5.10.1. By Component
      • 7.2.5.10.2. By Deployment Model
      • 7.2.5.10.3. By Technology
      • 7.2.5.10.4. By Application

8. Latin America Artificial Intelligence (AI) in Telecommunication Market

  • 8.1. Market Size & Forecast by Value, 2019-2029
    • 8.1.1. By Value (USD Billion)
  • 8.2. Market Share & Forecast
    • 8.2.1. By Component
    • 8.2.2. By Deployment Model
    • 8.2.3. By Technology
    • 8.2.4. By Application
    • 8.2.5. By Country
      • 8.2.5.1. Brazil
      • 8.2.5.1.1. By Component
      • 8.2.5.1.2. By Deployment Model
      • 8.2.5.1.3. By Technology
      • 8.2.5.1.4. By Application
      • 8.2.5.2. Argentina
      • 8.2.5.2.1. By Component
      • 8.2.5.2.2. By Deployment Model
      • 8.2.5.2.3. By Technology
      • 8.2.5.2.4. By Application
      • 8.2.5.3. Peru
      • 8.2.5.3.1. By Component
      • 8.2.5.3.2. By Deployment Model
      • 8.2.5.3.3. By Technology
      • 8.2.5.3.4. By Application
      • 8.2.5.4. Rest of LATAM
      • 8.2.5.4.1. By Component
      • 8.2.5.4.2. By Deployment Model
      • 8.2.5.4.3. By Technology
      • 8.2.5.4.4. By Application

9. Middle East & Africa Artificial Intelligence (AI) in Telecommunication Market

  • 9.1. Market Size & Forecast by Value, 2019-2029
    • 9.1.1. By Value (USD Billion)
  • 9.2. Market Share & Forecast
    • 9.2.1. By Component
    • 9.2.2. By Deployment Model
    • 9.2.3. By Technology
    • 9.2.4. By Application
    • 9.2.5. By Country
      • 9.2.5.1. Saudi Arabia
      • 9.2.5.1.1. By Component
      • 9.2.5.1.2. By Deployment Model
      • 9.2.5.1.3. By Technology
      • 9.2.5.1.4. By Application
      • 9.2.5.2. UAE
      • 9.2.5.2.1. By Component
      • 9.2.5.2.2. By Deployment Model
      • 9.2.5.2.3. By Technology
      • 9.2.5.2.4. By Application
      • 9.2.5.3. Qatar
      • 9.2.5.3.1. By Component
      • 9.2.5.3.2. By Deployment Model
      • 9.2.5.3.3. By Technology
      • 9.2.5.3.4. By Application
      • 9.2.5.4. Kuwait
      • 9.2.5.4.1. By Component
      • 9.2.5.4.2. By Deployment Model
      • 9.2.5.4.3. By Technology
      • 9.2.5.4.4. By Application
      • 9.2.5.5. South Africa
      • 9.2.5.5.1. By Component
      • 9.2.5.5.2. By Deployment Model
      • 9.2.5.5.3. By Technology
      • 9.2.5.5.4. By Application
      • 9.2.5.6. Nigeria
      • 9.2.5.6.1. By Component
      • 9.2.5.6.2. By Deployment Model
      • 9.2.5.6.3. By Technology
      • 9.2.5.6.4. By Application
      • 9.2.5.7. Algeria
      • 9.2.5.7.1. By Component
      • 9.2.5.7.2. By Deployment Model
      • 9.2.5.7.3. By Technology
      • 9.2.5.7.4. By Application
      • 9.2.5.8. Rest of MEA
      • 9.2.5.8.1. By Component
      • 9.2.5.8.2. By Deployment Model
      • 9.2.5.8.3. By Technology
      • 9.2.5.8.4. By Application

10. Competitive Landscape

  • 10.1. List of Key Players and Their Offerings
  • 10.2. Global Artificial Intelligence in Telecommunication Company Market Share Analysis, 2022
  • 10.3. Competitive Benchmarking, By Operating Parameters
  • 10.4. Key Strategic Development (Mergers, Acquisitions, Partnerships, and others)

11. Impact of Covid-19 on Global Artificial Intelligence (AI) in Telecommunication Market

12. Company Profile (Company Overview, Financial Matrix, Competitive landscape, Key Personnel, Key Competitors, Contact Address, Strategic Outlook, and SWOT Analysis)

  • 12.1. IBM
  • 12.2. Microsoft
  • 12.3. Intel
  • 12.4. Google
  • 12.5. AT&T
  • 12.6. Cisco Systems
  • 12.7. Nuance Communications
  • 12.8. Sentient Technologies
  • 12.9. H2O.ai
  • 12.10. Infosys
  • 12.11. Salesforce
  • 12.12. Nvidia
  • 12.13. Other Prominent Players.

13. Key Strategic Recommendations

14. Research Methodology

  • 14.1. Qualitative Research
    • 14.1.1. Primary & Secondary Research
  • 14.2. Quantitative Research
  • 14.3. Market Breakdown & Data Triangulation
    • 14.3.1. Secondary Research
    • 14.3.2. Primary Research
  • 14.4. Breakdown of Primary Research Respondents, By Region
  • 14.5. Assumptions & Limitations