AI in Telecommunication Market Analysis and Forecast to 2030

Description

AI in Telecommunication Market Report Highlights:

Key Segments: Machine Learning and Deep Learning, Natural Language Processing, Customer Analytics, Network Security, Virtual Assistance

Key Competitors: Intel Corporation, Nuance Communications, Inc., AT&T, Infosys Limited, ZTE Corporation, IBM Corporation, Google LLC, Microsoft, Salesforce, Inc., Cisco Systems, Inc.

Key Geographies: USA, China, UK, Japan, Germany, France, Italy, Spain, The Netherlands, Canada, India, South Korea, Australia, New Zealand, Middle East, Africa, South and Central America

Research Methodology: Primary Research, Secondary Research, Epidemiological Modelling, COVID-19 Impact Analysis

Historical Data: 2018-2020

Forecasting Period: 2021-2030

Pages and Exhibits: 100+ pages, 50+ Statistical Tables, 30+ Analysis Figures

Market Currency: US Dollar ($)

Report Language: English

Report Format: Online, Downloadable PDF, Excel

Available Customizations: End User Side Report, Country Level Report, Thought Leadership Report

AI in Telecommunication Market Definition:

In the AI in Telecommunications market, technology companies license professional and managed solutions based on machine learning, deep learning, and natural language processing (NLP) technologies for applications such as customer analytics, network security, network optimization, self-diagnosis, virtual assistance, others.

AI in Telecommunication Market Segmentation:

AI in Telecommunication Market, By Technology	Machine Learning and Deep Learning Natural Language Processing
AI in Telecommunication Market, By Application	Customer Analytics Network Security Network Optimization Self-Diagnostics Virtual Assistance Others
AI in Telecommunication Market, By Component	Solutions Software Tools Platforms Services Professional Services Managed Services
AI in Telecommunication Market, By Deployment	Cloud On-Premises
AI in Telecommunication Market Major Competitors	IBM Corporation Microsoft Intel Corporation Google AT&T Intellectual Property Cisco Systems Nuance Communications, Inc. Evolv Technology Solutions, Inc. H2O.ai Infosys Limited Salesforce.com, Inc. NVIDIA Corporation Others
AI in Telecommunication Market, By Geography	North America USA Canada South and Central America Europe Germany France U.K. Italy Spain The Netherlands Rest of Europe Asia-Pacific China Japan India South Korea Australia New-Zealand Rest of Asia-Pacific Middle East & Africa

Table of Content and Chapter Description:

1. Executive Summary

This section includes summary of whole report. It majorly includes brief analysis of market numbers, various forecast factors and market dynamics such as drivers, restraints, opportunities, and key trends. In addition to this, this section also talks about leading players operating in the market.

2. AI in Telecommunication Market Report: Inclusion & Exclusion

This section provides a brief idea about the factors included in the study, along with the factors which are not considered in the study. It helps the reader to have a better understanding of the provided information.

3. Market Dynamics

This section provides a detailed analysis of drivers, restraints, opportunities, and threats that have a significant impact on the growth of the market. It also includes key trends influencing market growth and demand.

4. AI in Telecommunication Market: Key Market Insights

This section majorly includes an analysis of micro and macroeconomic indicators that would have direct or indirect effects on market growth. This section also includes pricing analysis, product pipeline analysis, PORTER’S five forces analysis, PESTLE analysis, and funding analysis, among others.

5. AI in Telecommunication Market: COVID-19 Impact Analysis

This section provides a detailed analysis of the pre and post-COVID-19 pandemic impact on the market. The section provides the effect of COVID-19 during 2020 and 2021 and also provides a recovery scenario. In addition to this, it also analyzes the impact of the vaccination drive on the market recovery.

6. AI in Telecommunication Market Analysis and Forecast to 2030, by Technology

This section includes a detailed analysis of modalities at the country level. The segments majorly include Machine Learning and Deep Learning, Natural Language Processing

7. AI in Telecommunication Market Analysis and Forecast to 2030, by Application

This section includes a detailed analysis of types at the country level. The segments majorly include Customer Analytics, Network Security, Network Optimization, and Others.

8. AI in Telecommunication Market Analysis and Forecast to 2030, by Component

This section includes a detailed analysis of applications at the country level. The segments majorly include Solutions, Services, and others.

9. AI in Telecommunication Market Analysis and Forecast to 2030, by End User

This section includes revenue estimation, forecast, and detailed analysis of AI in Telecommunication based on end-users at the country level. The segments consist of Cloud, On-Premises, and Others.

10. AI in Telecommunication Market Analysis, by Geography

This section includes a detailed analysis of 5 key regions and 16 key counties in it. The segments majorly include a detailed analysis of North America, South, and Central America, Europe, Asia-Pacific, and Middle East & Africa regions.

11. Competition Analysis

This section provides a detailed analysis of key companies/service providers operating in this market. It includes products/services ranking, market positioning, company competition matrix, impact analysis, market share analysis, and each company’s overviews.

12. Appendix

• • AI in Telecommunication Market: Research Methodology

This section includes detailed explanation of various techniques used during market estimation. It majorly involves primary and secondary research. Primary research involves interviews with industry personals and key opinion leaders from respective sectors, while secondary research includes data gathering through internet search, databases such as Bloomberg, FactSet, among others. In addition to this, the section also involves explanation of data forecast models used during the study.

• • Appendix
  • Abbreviations

**Note: Table of Content/Scope of work subject to change as per client requirements and research updates.