Industry Growth Insights published a new data on “Artificial Intelligence for Telecommunications Applications Market”. The research report is titled “Artificial Intelligence for Telecommunications Applications Market research by Types (On-Premise, Cloud Services), By Applications (Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Others), By Players/Companies 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)”.
Scope Of The Report
Report Attributes
Report Details
Report Title
Artificial Intelligence for Telecommunications Applications Market Research Report
By Type
On-Premise, Cloud Services
By Application
Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Others
By Companies
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)
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
196
Number of Tables & Figures
138
Customization Available
Yes, the report can be customized as per your need.
Global Artificial Intelligence for Telecommunications Applications Market Report Segments:
The global Artificial Intelligence for Telecommunications Applications market is segmented on the basis of:
Types
On-Premise, Cloud Services
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Customer Analytics, Network Security, Network Optimization, Self-Diagnostics, Virtual Assistance, Others
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- 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)
Highlights of The Artificial Intelligence for Telecommunications Applications Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- On-Premise
- Cloud Services
- By Application:
- Customer Analytics
- Network Security
- Network Optimization
- Self-Diagnostics
- Virtual Assistance
- Others
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Artificial Intelligence for Telecommunications Applications Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
- Channel & Customer Management
- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Artificial intelligence for telecommunications applications is a subset of artificial intelligence that focuses on the use of computers to make decisions, typically in complex environments. This can include tasks such as understanding natural language and recognizing objects, making recommendations or decisions about what to do next, or responding to customer service inquiries.
Some of the key players operating in the artificial intelligence for telecommunications applications market are 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).
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Artificial Intelligence for Telecommunications Applications Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Artificial Intelligence for Telecommunications Applications Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Artificial Intelligence for Telecommunications Applications Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Artificial Intelligence for Telecommunications Applications Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Artificial Intelligence for Telecommunications Applications Market Size & Forecast, 2018-2028
4.5.1 Artificial Intelligence for Telecommunications Applications Market Size and Y-o-Y Growth
4.5.2 Artificial Intelligence for Telecommunications Applications Market Absolute $ Opportunity
Chapter 5 Global Artificial Intelligence for Telecommunications Applications Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
5.2.1 On-Premise
5.2.2 Cloud Services
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Artificial Intelligence for Telecommunications Applications Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
6.2.1 Customer Analytics
6.2.2 Network Security
6.2.3 Network Optimization
6.2.4 Self-Diagnostics
6.2.5 Virtual Assistance
6.2.6 Others
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Artificial Intelligence for Telecommunications Applications Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Artificial Intelligence for Telecommunications Applications Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Artificial Intelligence for Telecommunications Applications Analysis and Forecast
9.1 Introduction
9.2 North America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
9.6.1 On-Premise
9.6.2 Cloud Services
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
9.10.1 Customer Analytics
9.10.2 Network Security
9.10.3 Network Optimization
9.10.4 Self-Diagnostics
9.10.5 Virtual Assistance
9.10.6 Others
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Artificial Intelligence for Telecommunications Applications Analysis and Forecast
10.1 Introduction
10.2 Europe Artificial Intelligence for Telecommunications Applications Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
10.6.1 On-Premise
10.6.2 Cloud Services
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
10.10.1 Customer Analytics
10.10.2 Network Security
10.10.3 Network Optimization
10.10.4 Self-Diagnostics
10.10.5 Virtual Assistance
10.10.6 Others
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Artificial Intelligence for Telecommunications Applications Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Artificial Intelligence for Telecommunications Applications Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
11.6.1 On-Premise
11.6.2 Cloud Services
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
11.10.1 Customer Analytics
11.10.2 Network Security
11.10.3 Network Optimization
11.10.4 Self-Diagnostics
11.10.5 Virtual Assistance
11.10.6 Others
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Artificial Intelligence for Telecommunications Applications Analysis and Forecast
12.1 Introduction
12.2 Latin America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
12.6.1 On-Premise
12.6.2 Cloud Services
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
12.10.1 Customer Analytics
12.10.2 Network Security
12.10.3 Network Optimization
12.10.4 Self-Diagnostics
12.10.5 Virtual Assistance
12.10.6 Others
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Artificial Intelligence for Telecommunications Applications Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Artificial Intelligence for Telecommunications Applications Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Artificial Intelligence for Telecommunications Applications Market Size Forecast by Type
13.6.1 On-Premise
13.6.2 Cloud Services
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Artificial Intelligence for Telecommunications Applications Market Size Forecast by Applications
13.10.1 Customer Analytics
13.10.2 Network Security
13.10.3 Network Optimization
13.10.4 Self-Diagnostics
13.10.5 Virtual Assistance
13.10.6 Others
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Artificial Intelligence for Telecommunications Applications Market: Competitive Dashboard
14.2 Global Artificial Intelligence for Telecommunications Applications Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 IBM (US)
14.3.2 Microsoft (US)
14.3.3 Intel (US)
14.3.4 Google (US)
14.3.5 AT&T (US)
14.3.6 Cisco Systems (US)
14.3.7 Nuance Communications (US)
14.3.8 Sentient Technologies (US)
14.3.9 H2O.ai (US)
14.3.10 Infosys (India)
14.3.11 Salesforce (US)
14.3.12 NVIDIA (US)
