The increasing adoption of Artificial Intelligence (AI) for various applications in the telecommunication industry and utilization of AI-enabled smartphones are expected to be driving the growth of the AI in telecommunication market.
Scope of the Report:
NLP technology is expected to grow at the highest CAGR during the forecast period.
The global Artificial Intelligence for Telecommunications Applications market is valued at xx million USD in 2017 and is expected to reach xx million USD by the end of 2023, growing at a CAGR of xx% between 2017 and 2023.
The Asia-Pacific will occupy for more market share in following years, especially in China, also fast growing India and Southeast Asia regions.
North America, especially The United States, will still play an important role which cannot be ignored. Any changes from United States might affect the development trend of Artificial Intelligence for Telecommunications Applications.
Europe also play important roles in global market, with market size of xx million USD in 2017 and will be xx million USD in 2023, with a CAGR of xx%.
This report studies the Artificial Intelligence for Telecommunications Applications market status and outlook of Global and major regions, from angles of players, countries, product types and end industries; this report analyzes the top players in global market, and splits the Artificial Intelligence for Telecommunications Applications market by product type and applications/end industries.
Market Segment by Companies, this report covers
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)
Market Segment by Regions, regional analysis covers
North America (United States, Canada and Mexico)
Europe (Germany, France, UK, Russia and Italy)
Asia-Pacific (China, Japan, Korea, India and Southeast Asia)
South America (Brazil, Argentina, Colombia)
Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)
Market Segment by Type, covers
Cloud
On-Premises
Market Segment by Applications, can be divided into
Customer Analytics
Network Security
Network Optimization
Self-Diagnostics
Virtual Assistance
Others
The base year for the study has been considered 2019, historic year 2014 and 2018, the forecast period considered is from 2020 to 2027. The regions analyzed for the market include North America, Europe, South America, Asia Pacific, and Middle East and Africa. These regions are further analyzed at the country-level. The study also includes attractiveness analysis of type, application and regions which are benchmarked based on their market size, growth rate and attractiveness in terms of present and future opportunity for understanding the future growth of the market.
Market is segmented on the basis:
The report offers in-depth analysis of driving factors, opportunities, restraints, and challenges for gaining the key insight of the market. The report emphasizes on all the key trends that play a vital role in the enlargement of the market from 2019 to 2026.
The report provides company profile of the key players operating in the market and a comparative analysis based on their business overviews industry offering, segment market share, regional presence, business strategies, innovations, mergers & acquisitions, recent developments, joint venture, collaborations, partnerships, SWOT analysis, and key financial information.
Table of Contents
1 Artificial Intelligence for Telecommunications Applications Market Overview
1.1 Product Overview and Scope of Artificial Intelligence for Telecommunications Applications
1.2 Classification of Artificial Intelligence for Telecommunications Applications by Types
1.2.1 Global Artificial Intelligence for Telecommunications Applications Revenue Comparison by Types (2017-2023)
1.2.2 Global Artificial Intelligence for Telecommunications Applications Revenue Market Share by Types in 2017
1.2.3 Cloud
1.2.4 On-Premises
1.3 Global Artificial Intelligence for Telecommunications Applications Market by Application
1.3.1 Global Artificial Intelligence for Telecommunications Applications Market Size and Market Share Comparison by Applications (2013-2023)
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 Global Artificial Intelligence for Telecommunications Applications Market by Regions
1.4.1 Global Artificial Intelligence for Telecommunications Applications Market Size (Million USD) Comparison by Regions (2013-2023)
1.4.1 North America (USA, Canada and Mexico) Artificial Intelligence for Telecommunications Applications Status and Prospect (2013-2023)
1.4.2 Europe (Germany, France, UK, Russia and Italy) Artificial Intelligence for Telecommunications Applications Status and Prospect (2013-2023)
1.4.3 Asia-Pacific (China, Japan, Korea, India and Southeast Asia) Artificial Intelligence for Telecommunications Applications Status and Prospect (2013-2023)
1.4.4 South America (Brazil, Argentina, Colombia) Artificial Intelligence for Telecommunications Applications Status and Prospect (2013-2023)
1.4.5 Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa) Artificial Intelligence for Telecommunications Applications Status and Prospect (2013-2023)
1.5 Global Market Size of Artificial Intelligence for Telecommunications Applications (2013-2023)
2 Manufacturers Profiles
2.1 IBM (US)
2.1.1 Business Overview
2.1.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.1.2.1 Product A
2.1.2.2 Product B
2.1.3 IBM (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.2 Microsoft (US)
2.2.1 Business Overview
2.2.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.2.2.1 Product A
2.2.2.2 Product B
2.2.3 Microsoft (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.3 Intel (US)
2.3.1 Business Overview
2.3.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.3.2.1 Product A
2.3.2.2 Product B
2.3.3 Intel (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.4 Google (US)
2.4.1 Business Overview
2.4.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.4.2.1 Product A
2.4.2.2 Product B
2.4.3 Google (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.5 AT&T (US)
2.5.1 Business Overview
2.5.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.5.2.1 Product A
2.5.2.2 Product B
2.5.3 AT&T (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.6 Cisco Systems (US)
2.6.1 Business Overview
2.6.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.6.2.1 Product A
2.6.2.2 Product B
2.6.3 Cisco Systems (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.7 Nuance Communications (US)
2.7.1 Business Overview
2.7.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.7.2.1 Product A
2.7.2.2 Product B
2.7.3 Nuance Communications (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.8 Sentient Technologies (US)
2.8.1 Business Overview
2.8.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.8.2.1 Product A
2.8.2.2 Product B
2.8.3 Sentient Technologies (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.9 H2O.ai (US)
2.9.1 Business Overview
2.9.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.9.2.1 Product A
2.9.2.2 Product B
2.9.3 H2O.ai (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.10 Infosys (India)
2.10.1 Business Overview
2.10.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.10.2.1 Product A
2.10.2.2 Product B
2.10.3 Infosys (India) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.11 Salesforce (US)
2.11.1 Business Overview
2.11.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.11.2.1 Product A
2.11.2.2 Product B
2.11.3 Salesforce (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
2.12 NVIDIA (US)
2.12.1 Business Overview
2.12.2 Artificial Intelligence for Telecommunications Applications Type and Applications
2.12.2.1 Product A
2.12.2.2 Product B
2.12.3 NVIDIA (US) Artificial Intelligence for Telecommunications Applications Revenue, Gross Margin and Market Share (2016-2017)
3 Global Artificial Intelligence for Telecommunications Applications Market Competition, by Players
3.1 Global Artificial Intelligence for Telecommunications Applications Revenue and Share by Players (2013-2018)
3.2 Market Concentration Rate
3.2.1 Top 5 Artificial Intelligence for Telecommunications Applications Players Market Share
3.2.2 Top 10 Artificial Intelligence for Telecommunications Applications Players Market Share
3.3 Market Competition Trend
4 Global Artificial Intelligence for Telecommunications Applications Market Size by Regions
4.1 Global Artificial Intelligence for Telecommunications Applications Revenue and Market Share by Regions
4.2 North America Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
4.3 Europe Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
4.4 Asia-Pacific Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
4.5 South America Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
4.6 Middle East and Africa Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
5 North America Artificial Intelligence for Telecommunications Applications Revenue by Countries
5.1 North America Artificial Intelligence for Telecommunications Applications Revenue by Countries (2013-2018)
5.2 USA Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
5.3 Canada Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
5.4 Mexico Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
6 Europe Artificial Intelligence for Telecommunications Applications Revenue by Countries
6.1 Europe Artificial Intelligence for Telecommunications Applications Revenue by Countries (2013-2018)
6.2 Germany Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
6.3 UK Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
6.4 France Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
6.5 Russia Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
6.6 Italy Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
7 Asia-Pacific Artificial Intelligence for Telecommunications Applications Revenue by Countries
7.1 Asia-Pacific Artificial Intelligence for Telecommunications Applications Revenue by Countries (2013-2018)
7.2 China Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
7.3 Japan Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
7.4 Korea Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
7.5 India Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
7.6 Southeast Asia Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
8 South America Artificial Intelligence for Telecommunications Applications Revenue by Countries
8.1 South America Artificial Intelligence for Telecommunications Applications Revenue by Countries (2013-2018)
8.2 Brazil Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
8.3 Argentina Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
8.4 Colombia Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
9 Middle East and Africa Revenue Artificial Intelligence for Telecommunications Applications by Countries
9.1 Middle East and Africa Artificial Intelligence for Telecommunications Applications Revenue by Countries (2013-2018)
9.2 Saudi Arabia Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
9.3 UAE Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
9.4 Egypt Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
9.5 Nigeria Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
9.6 South Africa Artificial Intelligence for Telecommunications Applications Revenue and Growth Rate (2013-2018)
10 Global Artificial Intelligence for Telecommunications Applications Market Segment by Type
10.1 Global Artificial Intelligence for Telecommunications Applications Revenue and Market Share by Type (2013-2018)
10.2 Global Artificial Intelligence for Telecommunications Applications Market Forecast by Type (2018-2023)
10.3 Cloud Revenue Growth Rate (2013-2023)
10.4 On-Premises Revenue Growth Rate (2013-2023)
11 Global Artificial Intelligence for Telecommunications Applications Market Segment by Application
11.1 Global Artificial Intelligence for Telecommunications Applications Revenue Market Share by Application (2013-2018)
11.2 Artificial Intelligence for Telecommunications Applications Market Forecast by Application (2018-2023)
11.3 Customer Analytics Revenue Growth (2013-2018)
11.4 Network Security Revenue Growth (2013-2018)
11.5 Network Optimization Revenue Growth (2013-2018)
11.6 Self-Diagnostics Revenue Growth (2013-2018)
11.7 Virtual Assistance Revenue Growth (2013-2018)
11.8 Others Revenue Growth (2013-2018)
12 Global Artificial Intelligence for Telecommunications Applications Market Size Forecast (2018-2023)
12.1 Global Artificial Intelligence for Telecommunications Applications Market Size Forecast (2018-2023)
12.2 Global Artificial Intelligence for Telecommunications Applications Market Forecast by Regions (2018-2023)
12.3 North America Artificial Intelligence for Telecommunications Applications Revenue Market Forecast (2018-2023)
12.4 Europe Artificial Intelligence for Telecommunications Applications Revenue Market Forecast (2018-2023)
12.5 Asia-Pacific Artificial Intelligence for Telecommunications Applications Revenue Market Forecast (2018-2023)
12.6 South America Artificial Intelligence for Telecommunications Applications Revenue Market Forecast (2018-2023)
12.7 Middle East and Africa Artificial Intelligence for Telecommunications Applications Revenue Market Forecast (2018-2023)
13 Research Findings and Conclusion
14 Appendix
14.1 Methodology
14.2 Data Source
List of Tables and Figures
Figure Artificial Intelligence for Telecommunications Applications Picture
Table Product Specifications of Artificial Intelligence for Telecommunications Applications
Table