Report Detail
Global and United States Artificial Intelligence for Telecommunications Applications Market Size, Status and Forecast 2020-2026
- RnM2748625 |
- 14 October, 2020 |
- Global |
- 95 Pages |
- QYResearch |
- Service & Software
Global Artificial Intelligence for Telecommunications Applications Scope and Market Size
Artificial Intelligence for Telecommunications Applications market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global Artificial Intelligence for Telecommunications Applications market will be able to gain the upper hand as they use the report as a powerful resource. The segmental analysis focuses on revenue and forecast by Type and by Application in terms of revenue and forecast for the period 2015-2026.
Market segment by Type, the product can be split into
Cloud
On-Premises
Market segment by Application, split into
Customer Analytics
Network Security
Network Optimization
Self-Diagnostics
Virtual Assistance
Others
Based on regional and country-level analysis, the Artificial Intelligence for Telecommunications Applications market has been segmented as follows:
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia-Pacific
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of Middle East & Africa
In the competitive analysis section of the report, leading as well as prominent players of the global Artificial Intelligence for Telecommunications Applications market are broadly studied on the basis of key factors. The report offers comprehensive analysis and accurate statistics on revenue by the player for the period 2015-2020. It also offers detailed analysis supported by reliable statistics on price and revenue (global level) by player for the period 2015-2020.
The key players covered in this study
IBM (US)
Microsoft (US)
Intel (US)
Google (US)
AT&T (US)
Cisco Systems (US)
Nuance Communications (US)
Sentient Technologies (US)
H2O.ai (US)
Infosys (India)
Salesforce (US)
NVIDIA (US)
1 Report Overview
- 1.1 Study Scope
- 1.2 Market Analysis by Type
- 1.2.1 Global Artificial Intelligence for Telecommunications Applications Market Size Growth Rate by Type: 2020 VS 2026
- 1.2.2 Cloud
- 1.2.3 On-Premises
- 1.3 Market by Application
- 1.3.1 Global Artificial Intelligence for Telecommunications Applications Market Share by Application: 2020 VS 2026
- 1.3.2 Customer Analytics
- 1.3.3 Network Security
- 1.3.4 Network Optimization
- 1.3.5 Self-Diagnostics
- 1.3.6 Virtual Assistance
- 1.3.7 Others
- 1.4 Study Objectives
- 1.5 Years Considered
2 Global Growth Trends
- 2.1 Global Artificial Intelligence for Telecommunications Applications Market Perspective (2015-2026)
- 2.2 Global Artificial Intelligence for Telecommunications Applications Growth Trends by Regions
- 2.2.1 Artificial Intelligence for Telecommunications Applications Market Size by Regions: 2015 VS 2020 VS 2026
- 2.2.2 Artificial Intelligence for Telecommunications Applications Historic Market Share by Regions (2015-2020)
- 2.2.3 Artificial Intelligence for Telecommunications Applications Forecasted Market Size by Regions (2021-2026)
- 2.3 Industry Trends and Growth Strategy
- 2.3.1 Market Trends
- 2.3.2 Market Drivers
- 2.3.3 Market Challenges
- 2.3.4 Market Restraints
3 Competition Landscape by Key Players
- 3.1 Global Top Artificial Intelligence for Telecommunications Applications Players by Market Size
- 3.1.1 Global Top Artificial Intelligence for Telecommunications Applications Players by Revenue (2015-2020)
- 3.1.2 Global Artificial Intelligence for Telecommunications Applications Revenue Market Share by Players (2015-2020)
- 3.2 Global Artificial Intelligence for Telecommunications Applications Market Share by Company Type (Tier 1, Tier 2 and Tier 3)
- 3.3 Players Covered: Ranking by Artificial Intelligence for Telecommunications Applications Revenue
- 3.4 Global Artificial Intelligence for Telecommunications Applications Market Concentration Ratio
- 3.4.1 Global Artificial Intelligence for Telecommunications Applications Market Concentration Ratio (CR5 and HHI)
- 3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence for Telecommunications Applications Revenue in 2019
- 3.5 Key Players Artificial Intelligence for Telecommunications Applications Area Served
- 3.6 Key Players Artificial Intelligence for Telecommunications Applications Product Solution and Service
- 3.7 Date of Enter into Artificial Intelligence for Telecommunications Applications Market
- 3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence for Telecommunications Applications Breakdown Data by Type (2015-2026)
- 4.1 Global Artificial Intelligence for Telecommunications Applications Historic Market Size by Type (2015-2020)
- 4.2 Global Artificial Intelligence for Telecommunications Applications Forecasted Market Size by Type (2021-2026)
5 Artificial Intelligence for Telecommunications Applications Breakdown Data by Application (2015-2026)
- 5.1 Global Artificial Intelligence for Telecommunications Applications Historic Market Size by Application (2015-2020)
- 5.2 Global Artificial Intelligence for Telecommunications Applications Forecasted Market Size by Application (2021-2026)
6 North America
- 6.1 North America Artificial Intelligence for Telecommunications Applications Market Size (2015-2026)
- 6.2 North America Artificial Intelligence for Telecommunications Applications Market Size by Type (2015-2020)
- 6.3 North America Artificial Intelligence for Telecommunications Applications Market Size by Application (2015-2020)
- 6.4 North America Artificial Intelligence for Telecommunications Applications Market Size by Country (2015-2020)
- 6.4.1 United States
- 6.4.2 Canada
7 Europe
- 7.1 Europe Artificial Intelligence for Telecommunications Applications Market Size (2015-2026)
- 7.2 Europe Artificial Intelligence for Telecommunications Applications Market Size by Type (2015-2020)
- 7.3 Europe Artificial Intelligence for Telecommunications Applications Market Size by Application (2015-2020)
- 7.4 Europe Artificial Intelligence for Telecommunications Applications Market Size by Country (2015-2020)
- 7.4.1 Germany
- 7.4.2 France
- 7.4.3 U.K.
- 7.4.4 Italy
- 7.4.5 Russia
- 7.4.6 Nordic
- 7.4.7 Rest of Europe
8 China
- 8.1 China Artificial Intelligence for Telecommunications Applications Market Size (2015-2026)
- 8.2 China Artificial Intelligence for Telecommunications Applications Market Size by Type (2015-2020)
- 8.3 China Artificial Intelligence for Telecommunications Applications Market Size by Application (2015-2020)
- 8.4 China Artificial Intelligence for Telecommunications Applications Market Size by Region (2015-2020)
- 8.4.1 China
- 8.4.2 Japan
- 8.4.3 South Korea
- 8.4.4 Southeast Asia
- 8.4.5 India
- 8.4.6 Australia
- 8.4.7 Rest of Asia-Pacific
9 Japan
- 9.1 Japan Artificial Intelligence for Telecommunications Applications Market Size (2015-2026)
- 9.2 Japan Artificial Intelligence for Telecommunications Applications Market Size by Type (2015-2020)
- 9.3 Japan Artificial Intelligence for Telecommunications Applications Market Size by Application (2015-2020)
- 9.4 Japan Artificial Intelligence for Telecommunications Applications Market Size by Country (2015-2020)
- 9.4.1 Mexico
- 9.4.2 Brazil
10 Southeast Asia
- 10.1 Southeast Asia Artificial Intelligence for Telecommunications Applications Market Size (2015-2026)
- 10.2 Southeast Asia Artificial Intelligence for Telecommunications Applications Market Size by Type (2015-2020)
- 10.3 Southeast Asia Artificial Intelligence for Telecommunications Applications Market Size by Application (2015-2020)
- 10.4 Southeast Asia Artificial Intelligence for Telecommunications Applications Market Size by Country (2015-2020)
- 10.4.1 Turkey
- 10.4.2 Saudi Arabia
- 10.4.3 UAE
- 10.4.4 Rest of Middle East & Africa
11 Key Players Profiles
- 11.1 IBM (US)
- 11.1.1 IBM (US) Company Details
- 11.1.2 IBM (US) Business Overview
- 11.1.3 IBM (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.1.4 IBM (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020))
- 11.1.5 IBM (US) Recent Development
- 11.2 Microsoft (US)
- 11.2.1 Microsoft (US) Company Details
- 11.2.2 Microsoft (US) Business Overview
- 11.2.3 Microsoft (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.2.4 Microsoft (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.2.5 Microsoft (US) Recent Development
- 11.3 Intel (US)
- 11.3.1 Intel (US) Company Details
- 11.3.2 Intel (US) Business Overview
- 11.3.3 Intel (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.3.4 Intel (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.3.5 Intel (US) Recent Development
- 11.4 Google (US)
- 11.4.1 Google (US) Company Details
- 11.4.2 Google (US) Business Overview
- 11.4.3 Google (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.4.4 Google (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.4.5 Google (US) Recent Development
- 11.5 AT&T (US)
- 11.5.1 AT&T (US) Company Details
- 11.5.2 AT&T (US) Business Overview
- 11.5.3 AT&T (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.5.4 AT&T (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.5.5 AT&T (US) Recent Development
- 11.6 Cisco Systems (US)
- 11.6.1 Cisco Systems (US) Company Details
- 11.6.2 Cisco Systems (US) Business Overview
- 11.6.3 Cisco Systems (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.6.4 Cisco Systems (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.6.5 Cisco Systems (US) Recent Development
- 11.7 Nuance Communications (US)
- 11.7.1 Nuance Communications (US) Company Details
- 11.7.2 Nuance Communications (US) Business Overview
- 11.7.3 Nuance Communications (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.7.4 Nuance Communications (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.7.5 Nuance Communications (US) Recent Development
- 11.8 Sentient Technologies (US)
- 11.8.1 Sentient Technologies (US) Company Details
- 11.8.2 Sentient Technologies (US) Business Overview
- 11.8.3 Sentient Technologies (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.8.4 Sentient Technologies (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.8.5 Sentient Technologies (US) Recent Development
- 11.9 H2O.ai (US)
- 11.9.1 H2O.ai (US) Company Details
- 11.9.2 H2O.ai (US) Business Overview
- 11.9.3 H2O.ai (US) Artificial Intelligence for Telecommunications Applications Introduction
- 11.9.4 H2O.ai (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.9.5 H2O.ai (US) Recent Development
- 11.10 Infosys (India)
- 11.10.1 Infosys (India) Company Details
- 11.10.2 Infosys (India) Business Overview
- 11.10.3 Infosys (India) Artificial Intelligence for Telecommunications Applications Introduction
- 11.10.4 Infosys (India) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 11.10.5 Infosys (India) Recent Development
- 11.11 Salesforce (US)
- 10.11.1 Salesforce (US) Company Details
- 10.11.2 Salesforce (US) Business Overview
- 10.11.3 Salesforce (US) Artificial Intelligence for Telecommunications Applications Introduction
- 10.11.4 Salesforce (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 10.11.5 Salesforce (US) Recent Development
- 11.12 NVIDIA (US)
- 10.12.1 NVIDIA (US) Company Details
- 10.12.2 NVIDIA (US) Business Overview
- 10.12.3 NVIDIA (US) Artificial Intelligence for Telecommunications Applications Introduction
- 10.12.4 NVIDIA (US) Revenue in Artificial Intelligence for Telecommunications Applications Business (2015-2020)
- 10.12.5 NVIDIA (US) Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
- 13.1 Research Methodology
- 13.1.1 Methodology/Research Approach
- 13.1.2 Data Source
- 13.2 Disclaimer
Summary:
Get latest Market Research Reports on Artificial Intelligence for Telecommunications Applications . Industry analysis & Market Report on Artificial Intelligence for Telecommunications Applications is a syndicated market report, published as Global and United States Artificial Intelligence for Telecommunications Applications Market Size, Status and Forecast 2020-2026. It is complete Research Study and Industry Analysis of Artificial Intelligence for Telecommunications Applications market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.
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