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Global Artificial Intelligence for Telecommunications Applications Market By Type( Cloud, On-Premises ), By Application ( Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Others ), By Region, and Key Companies - Industry Segment Outlook, Market Assessment, Competition Scenario, Trends and Forecast 2020-2029
  • Report ID 134090
  • Published Date 17-Oct
  • Delivery Format PDF/PPT/Word
  • Editor's Rating
  • Report Details 
    Global Artificial Intelligence for Telecommunications Applications Market is estimated to be valued US$ XX.X million in 2019. The report on Artificial Intelligence for Telecommunications Applications Market provides qualitative as well as quantitative analysis in terms of market dynamics, competition scenarios, opportunity analysis, market growth, etc. for the forecast year up to 2029. The global artificial intelligence for telecommunications Applications market is segmented on the basis of Type, Application and geography.
    

    In 2019, the North America market is valued US$ XX.X million and the market share is estimated X.X%, and it is expected to be US$ XX.X million and X.X% in 2029, with a CAGR X.X% from 2020 to 2029.
    

    Artificial Intelligence for Telecommunications Applications Market Scope:
    

    By type, the market is segmented into Cloud, and On-Premises. By Application, the market is divided into Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, and Others.
    
Based on geography, the market is analyzed across North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa. Major players profiled in the report include IBM, Microsoft, Intel, Google, AT&T, Cisco Systems, Nuance Communications, Sentient Technologies, H2O.ai, Infosys, Salesforce, and NVIDIA.
    

    Key Market Segments
    

    Type
    

     Cloud
    

     On-Premises
    

    Application
    

     Customer Analytics
    

     Network Security
    

     Network Optimization
    

     Self-Diagnostics
    

     Virtual Assistance
    

     Others
    

    Key Market Players included in the report:
    

     IBM
    

     Microsoft
    

     Intel
    

     Google
    

     AT&T
    

     Cisco Systems
    

     Nuance Communications
    

     Sentient Technologies
    

     H2O.ai
    

     Infosys
    

     Salesforce
    

     NVIDIA
    

    Reasons to Get this Report:
    

    In an insight outlook, this research report has dedicated to several quantities of analysis – industry research (global industry trends) and Artificial Intelligence for Telecommunications Applications Market share analysis of high players, along with company profiles, and which collectively include about the fundamental opinions regarding the market landscape; emerging and high-growth sections of Artificial Intelligence for Telecommunications Applications Market; high-growth regions; and market drivers, restraints, and also market chances.
    
The analysis covers Artificial Intelligence for Telecommunications Applications Market and its advancements across different industry verticals as well as regions. It targets estimating the current market size and growth potential of the global Artificial Intelligence for Telecommunications Applications Market across sections such as also Application and representatives.
    
Additionally, the analysis also has a comprehensive review of the crucial players on the Artificial Intelligence for Telecommunications Applications Market together side their company profiles, SWOT analysis, latest advancements, and business plans.
    

    The analysis objectives of the report are:
    

     To equitably share in-depth info regarding the crucial elements impacting the increase of industry (growth capacity, chances, drivers, and industry-specific challenges and risks).
    
 To know the Artificial Intelligence for Telecommunications Applications Market by pinpointing its many subsegments.
    
 To profile the important players and analyze their growth plans.
    
 To endeavor the amount and value of Artificial Intelligence for Telecommunications Applications sub-markets, depending on key regions (various vital states).
    
 To analyze Artificial Intelligence for Telecommunications Applications Market concerning growth trends, prospects, and also their participation in the entire sector.
    
 To examine and study the Artificial Intelligence for Telecommunications Applications Market size (volume & value) from the company, essential regions/countries, products, and Application, background information from 2013 to 2018, and also prediction to 2029.
    
 Primary worldwide Artificial Intelligence for Telecommunications Applications Market manufacturing companies, to specify, clarify and analyze the product sales amount, value and market share, market rivalry landscape, SWOT analysis and development plans next coming years.
    
 To examine competitive progress such as expansions, arrangements, new product launches, and acquisitions on the market.
  • Table Of Content

    1. Artificial Intelligence for Telecommunications Applications Market Introduction

    1.1. Definition
    1.2. Taxonomy
    1.3. Research Scope2. Executive Summary

    2.1. Key Findings by Major Segments
    2.2. Top strategies by Major Players3. Global Artificial Intelligence for Telecommunications Applications Market Overview

    3.1. Artificial Intelligence for Telecommunications Applications Market Dynamics

    3.1.1. Drivers
    3.1.2. Opportunities
    3.1.3. Restraints
    3.1.4. Challenges 3.2. PESTLE Analysis
    3.3. Opportunity Map Analysis
    3.4. PORTER’S Five Forces Analysis
    3.5. Market Competition Scenario Analysis
    3.6. Product Life Cycle Analysis
    3.7. Opportunity Orbits
    3.8. Production Analysis by Region/Company
    3.9. Industry chain Analysis
    3.10. Marketing Strategy4. Global Artificial Intelligence for Telecommunications Applications Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Type, 2012-2028

    4.1. Global Artificial Intelligence for Telecommunications Applications Market Analysis by Type: Introduction
    4.2. Market Size and Forecast by Region
    4.3. Cloud

    4.4. On-Premises5. Global Artificial Intelligence for Telecommunications Applications Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Application, 2012-2028

    5.1. Global Artificial Intelligence for Telecommunications Applications Market Analysis by Application: Introduction
    5.2. Market Size and Forecast by Region
    5.3. Customer Analytics

    5.4. Network Security

    5.5. Network Optimization

    5.6. Self-Diagnostics

    5.7. Virtual Assistance

    5.8. Others6. Global Artificial Intelligence for Telecommunications Applications Market Value & Volume ((US$ Mn & ‘000 Units)), Share (%), and Growth Rate (%) Comparison by Region, 2012-2028

    6.1. North America

    6.1.1. North America Artificial Intelligence for Telecommunications Applications Market: Regional Trend Analysis

    6.1.1.1. US
    6.1.1.2. Canada
    6.1.1.3. Mexico

    6.2.1. Europe

    6.2.1. Europe Artificial Intelligence for Telecommunications Applications Market: Regional Trend Analysis

    6.2.1.1. Germany
    6.2.1.2. France
    6.2.1.3. UK
    6.2.1.4. Russia
    6.2.1.5. Italy
    6.2.1.6. Spain
    6.2.1.7. Rest of Europe

    6.3. Asia-Pacific

    6.3.1. Asia-Pacific Artificial Intelligence for Telecommunications Applications Market: Regional Trend Analysis

    6.3.1.1. China
    6.3.1.2. Japan
    6.3.1.3. Korea
    6.3.1.4. India
    6.3.1.5. Rest of Asia-Pacific

    6.4. Latin America

    6.4.1. Latin America Artificial Intelligence for Telecommunications Applications Market: Regional Trend Analysis

    6.4.1.1. Brazil
    6.4.1.2. Argentina
    6.4.1.3. Rest of Latin America

    6.5. Middle East and Africa

    6.5.1. Middle East and Africa Artificial Intelligence for Telecommunications Applications Market: Regional Trend Analysis

    6.5.1.1. GCC
    6.5.1.2. South Africa
    6.5.1.3. Israel
    6.5.1.4. Rest of MEA
    7. Global Artificial Intelligence for Telecommunications Applications Market Competitive Landscape, Market Share Analysis, and Company Profiles

    7.1. Market Share Analysis
    7.2. Company Profiles
    7.3. IBM

    7.3.1. Company Overview
    7.3.2. Financial Highlights
    7.3.3. Product Portfolio
    7.3.4. SWOT Analysis
    7.3.5. Key Strategies and Developments 7.4. Microsoft

    7.4.1. Company Overview
    7.4.2. Financial Highlights
    7.4.3. Product Portfolio
    7.4.4. SWOT Analysis
    7.4.5. Key Strategies and Developments 7.5. Intel

    7.5.1. Company Overview
    7.5.2. Financial Highlights
    7.5.3. Product Portfolio
    7.5.4. SWOT Analysis
    7.5.5. Key Strategies and Developments 7.6. Google

    7.6.1. Company Overview
    7.6.2. Financial Highlights
    7.6.3. Product Portfolio
    7.6.4. SWOT Analysis
    7.6.5. Key Strategies and Developments 7.7. AT&T

    7.7.1. Company Overview
    7.7.2. Financial Highlights
    7.7.3. Product Portfolio
    7.7.4. SWOT Analysis
    7.7.5. Key Strategies and Developments 7.8. Cisco Systems

    7.8.1. Company Overview
    7.8.2. Financial Highlights
    7.8.3. Product Portfolio
    7.8.4. SWOT Analysis
    7.8.5. Key Strategies and Developments 7.9. Nuance Communications

    7.9.1. Company Overview
    7.9.2. Financial Highlights
    7.9.3. Product Portfolio
    7.9.4. SWOT Analysis
    7.9.5. Key Strategies and Developments 7.10. Sentient Technologies

    7.10.1. Company Overview
    7.10.2. Financial Highlights
    7.10.3. Product Portfolio
    7.10.4. SWOT Analysis
    7.10.5. Key Strategies and Developments 7.11. H2O.ai

    7.11.1. Company Overview
    7.11.2. Financial Highlights
    7.11.3. Product Portfolio
    7.11.4. SWOT Analysis
    7.11.5. Key Strategies and Developments 7.12. Infosys

    7.12.1. Company Overview
    7.12.2. Financial Highlights
    7.12.3. Product Portfolio
    7.12.4. SWOT Analysis
    7.12.5. Key Strategies and Developments 7.13. Salesforce

    7.13.1. Company Overview
    7.13.2. Financial Highlights
    7.13.3. Product Portfolio
    7.13.4. SWOT Analysis
    7.13.5. Key Strategies and Developments 7.14. NVIDIA

    7.14.1. Company Overview
    7.14.2. Financial Highlights
    7.14.3. Product Portfolio
    7.14.4. SWOT Analysis
    7.14.5. Key Strategies and Developments

    8. Assumptions and Acronyms
    9. Research Methodology
    10. Contact

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    • Rising Regional OpportunitiesRising Regional Opportunities
    • Technology Trends and DynamicsTechnology Trends and Dynamics
    • Technology AssessmentTechnology Assessment
 
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