Telecommunication Artificial Intelligence (AI) is intelligence demonstrated by machines for Telecommunication.
Market Analysis and Insights: Global On-premises Telecommunication AI Market
In 2019, the global On-premises Telecommunication AI market size was US$ xx million and it is expected to reach US$ xx million by the end of 2026, with a CAGR of xx% during 2021-2026.
Global On-premises Telecommunication AI Scope and Market Size
On-premises Telecommunication AI market is segmented by Type, and by Application. Players, stakeholders, and other participants in the global On-premises Telecommunication AI 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.
Segment by Type, the On-premises Telecommunication AI market is segmented into Solutions, Services, etc.
Segment by Application, the On-premises Telecommunication AI market is segmented into Customer analytics, Network security, Network optimization, Self-diagnostics, Others, etc.
Regional and Country-level Analysis
The On-premises Telecommunication AI market is analysed and market size information is provided by regions (countries).
The key regions covered in the On-premises Telecommunication AI market report are North America, Europe, China, Japan, Southeast Asia, India and Central & South America, etc.
The report includes country-wise and region-wise market size for the period 2015-2026. It also includes market size and forecast by Type, and by Application segment in terms of revenue for the period 2015-2026.

Competitive Landscape

and On-premises Telecommunication AI Market Share Analysis
On-premises Telecommunication AI market competitive landscape provides details and data information by vendors. 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 revenue (global and regional level) by player for the period 2015-2020. Details included are company description, major business, company total revenue and the revenue generated in On-premises Telecommunication AI business, the date to enter into the On-premises Telecommunication AI market, On-premises Telecommunication AI product introduction, recent developments, etc.
The major vendors include NVIDIA, Alphabet, Cisco Systems, IBM, Sentient Technologies, H2O.ai, etc.

This report focuses on the global On-premises Telecommunication AI status, future forecast, growth opportunity, key market and key players. The study objectives are to present the On-premises Telecommunication AI development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.

The key players covered in this study

NVIDIA
Alphabet
Cisco Systems
IBM
Sentient Technologies
H2O.ai
...

Market segment by Type, the product can be split into

Solutions
Services

Market segment by Application, split into

Customer analytics
Network security
Network optimization
Self-diagnostics
Others

Market segment by Regions/Countries, this report covers

North America
Europe
China
Japan
Southeast Asia
India
Central & South America

The study objectives of this report are:

To analyze global On-premises Telecommunication AI status, future forecast, growth opportunity, key market and key players.
To present the On-premises Telecommunication AI development in North America, Europe, China, Japan, Southeast Asia, India and Central & South America.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by type, market and key regions.

In this study, the years considered to estimate the market size of On-premises Telecommunication AI are as follows:
History Year: 2015-2019

Base Year:

2019

Estimated Year:

2020
Forecast Year 2020 to 2026
For the data information by region, company, type and application, 2019 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.