시장보고서
상품코드
1301794

세계의 통신용 인공지능 시장 : 시장 규모, 점유율, 동향 분석, 기회, 예측 보고서(2019-2029년)

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

발행일: | 리서치사: Blueweave Consulting | 페이지 정보: 영문 400 Pages | 배송안내 : 2-3일 (영업일 기준)


※ 본 상품은 영문 자료로 한글과 영문 목차에 불일치하는 내용이 있을 경우 영문을 우선합니다. 정확한 검토를 위해 영문 목차를 참고해주시기 바랍니다.

세계의 통신용 인공지능(AI : Artificial Intelligence in Telecommunication) 시장 규모는 15배 이상으로 확대되어, 2029년 364억 달러에 달할 전망입니다.

통신 네트워크 확산되는 컨텐츠를 감시하는 요구가 높아지고, 스마트폰에 5G 기술 등장이 증가하여 다양한 통신용 인공지능 솔루션 채용률이 높아지면서 세계의 통신용 인공지능 시장은 활황을 나타냅니다.

주요 전략 컨설팅 및 시장 조사 회사인 BlueWeave Consulting은 최근 조사 통신용 인공지능 시장 규모를 2022년 24억 1,000만 달러 규모에 달할 전망이라 추정했습니다. 2023년부터 2029년까지 통신용 인공지능 시장 규모는 40.25%의 CAGR로 성장하여 견조하게 성장할 전망이며, 2029년 363억 8,000만 달러 규모에 달할 것이라고 BlueWeave는 예측했습니다. 통신용 인공지능 시장의 주요 성장 촉진 요인은 효율적인 네트워크 관리 요구 증가, 데이터 트래픽 증가, 개인화된 고객 경험 수요 증가, 통신 사업 자동화 및 예측 유지 보수 요구 사항 등이 있습니다. 비디오 스트리밍과 같은 OTT(Over-The-Top) 서비스 출현은 오디오-비디오 컨텐츠 전달과 소비를 변화시켰습니다. OTT 서비스 사용자 수가 계속 증가함에 따라 대역폭 수요도 크게 급증하고 있습니다. OTT 서비스를 통한 이러한 트래픽 급증은 통신 산업에 상당한 운영 비용을 초래합니다. 그러나 통신 분야 AI 통합은 네트워크 설정 및 유지보수에 인간이 관여할 필요성을 최소화함으로써 운영 비용을 절감하는 솔루션을 제공합니다. 또한 자동화를 통해 통신사는 고객 온보딩 프로세스를 간소화하고 새로운 서비스 도입을 가속화할 수 있습니다. 그 결과 이러한 요인이 통신용 인공지능 시장 확대를 촉진할 것으로 예상됩니다.

보고서 상세 분석을 통해 세계의 통신용 인공지능 시장 성장 가능성, 향후 동향, 통계 정보를 제공합니다. 또한 총 시장 규모 예측을 촉진하는 요인도 다루고 있습니다. 통신용 인공지능 시장 최신 기술 동향과 의사 결정자가 건전한 전략 의사 결정을 하기 위한 업계 통찰을 제공할 것을 약속합니다. 또한 시장 성장 촉진 요인, 과제, 경쟁력에 대해서도 분석했습니다.

목차

제1장 조사 프레임워크

제2장 주요 요약

제3장 통신용 인공지능 시장 통찰

  • 업계 밸류체인 분석
  • DROC 분석
    • 성장 원동력
      • 다양한 통신용 인공지능 솔루션 채용 증가
      • 스마트폰 5G 기술 등장
      • 통신 네트워크 상에 퍼지는 컨텐츠를 감시하는 요구 증가
    • 억제 요인
      • 통신 시스템과 AI 기술 비호환성
    • 기회
      • 통신 업계 클라우드 기반 AI 제품
      • AI 탑재 스마트폰 활용
    • 과제
      • 불충분한 스킬
      • 개인 프라이버시와 정체성 우려
  • 기술 진보/최근 개발
  • 규제 프레임워크
  • 포터의 5세력 분석

제4장 통신용 인공지능 시장 주요 요약

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
      • 솔루션
      • 서비스
    • 전개 모형별
      • 온프레미스
      • 클라우드
    • 기술별
      • 머신러닝
      • 자연언어처리(NLP)
      • 데이터 애널리틱스
      • 기타
    • 용도별
      • 고객 애널리틱스
      • 네트워크 보안
      • 네트워크 최적화
      • 자기진단
      • 가상 어시스턴스
      • 기타
    • 지역별
      • 북미
      • 유럽
      • 아시아태평양
      • 라틴아메리카
      • 중동 및 아프리카

제5장 북미 통신용 인공지능 시장

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모형별
    • 기술별
    • 용도별
    • 국가별
      • 미국
      • 캐나다

제6장 유럽 통신용 인공지능 시장

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모형별
    • 기술별
    • 용도별
    • 국가별
      • 독일
      • 영국
      • 이탈리아
      • 프랑스
      • 스페인
      • 벨기에
      • 러시아
      • 네덜란드
      • 기타 유럽

제7장 아시아태평양 통신용 인공지능 시장

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모형별
    • 기술별
    • 용도별
    • 국가별
      • 중국
      • 인도
      • 일본
      • 한국
      • 호주 및 뉴질랜드
      • 인도네시아
      • 말레이시아
      • 싱가포르
      • 베트남
      • APAC 기타 국가

제8장 라틴아메리카 통신용 인공지능 시장

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모형별
    • 기술별
    • 용도별
    • 국가별
      • 브라질
      • 아르헨티나
      • 페루
      • 중남미 기타 지역

제9장 중동 및 아프리카 통신용 인공지능 시장

  • 시장 규모와 금액별 예측(2019-2029년)
    • 금액별
  • 시장 점유율과 예측
    • 컴포넌트별
    • 전개 모형별
    • 기술별
    • 용도별
    • 국가별
      • 사우디아라비아
      • 아랍에미리트(UAE)
      • 카타르
      • 쿠웨이트
      • 남아프리카
      • 나이지리아
      • 알제리
      • MEA 나머지 부분

제10장 경쟁 구도

  • 주요 기업과 제품 목록
  • 세계의 통신용 인공지능 시장 점유율 분석(2022년)
  • 동작 파라미터 경쟁 벤치마킹
  • 주요 전략 개발(합병, 인수, 파트너십 등)

제11장 COVID-19가 통신용 인공지능 시장에 미치는 영향

제12장 기업 프로필(기업 주요 요약, 재무 매트릭스, 경쟁 구도, 주요 인재, 주요 경쟁, 연락처 주소, 전략 전망, SWOT 분석)

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

제13장 주요 전략 권장 사항

제14장 조사 방법

NJH 23.08.30

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
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