Global Artificial Intelligence in Telecommunication Market Research Report - Industry Analysis, Size, Share, Growth, Trends and Forecast 2023 to 2030

Description

List of Tables

The global demand for Artificial Intelligence in Telecommunication Market is presumed to reach the market size of nearly USD 26.26 BN by 2030 from USD 1.32 BN in 2022 with a CAGR of 39.4% under the study period 2023 - 2030.

Artificial Intelligence in Telecommunication helps to enable automated customer support systems and make them personalized by effective management of big data. A typical example of AI in the telecom industry is the facilities of virtual assistants or chatbots. It is the imitation of human intelligence services through computers. Its application in the telecommunication industry provides a lot of benefits. With the use of advanced algorithms, it examines the patterns within the massive data in the telecom industry and detects network irregularities and predicts the same. Since artificial intelligence is widely used in the telecom industry nowadays, it helps the communication service providers quickly resolve problems before the network issue could trouble the customers.

MARKET DYNAMICS:

The forecast period shows satisfactory growth in Artificial Intelligence in Telecommunication market. The drivers of growth are the coming of superfast 5G mobile network facilities and increasing demand for an efficient network service from the customers. The integration of artificial intelligence on smartphones and the use of AI in several telecom applications will further add to the growth. Most importantly, the telecom industry can reduce operational costs and offer improved customer service by integrating AI into its applications. The increasing use of OTT services and the subsequent consumer demand for a fast bandwidth also pushes the market uphill. The industry will manage this growing expenditure by employing AI services which will minimize human intervention and thus will reduce the maintenance cost. The next generation technology, 5G, will likely create profitable market opportunities, and the key players in this industry will make growing investments in artificial intelligence services.

The research report covers Porter's Five Forces Model, Market Attractiveness Analysis, and Value Chain analysis. These tools help to get a clear picture of the industry's structure and evaluate the competition attractiveness at a global level. Additionally, these tools also give an inclusive assessment of each segment in the global market of artificial intelligence in telecommunication. The growth and trends of artificial intelligence in telecommunication industry provide a holistic approach to this study.

MARKET SEGMENTATION:

This section of the artificial intelligence in telecommunication market report provides detailed data on the segments at country and regional level, thereby assisting the strategist in identifying the target demographics for the respective product or services with the upcoming opportunities.

By Application

Network Security
Network Optimization
Customer Analytics
Virtual Assistance
Self-Diagnostics
Others

REGIONAL ANALYSIS:

This section covers the regional outlook, which accentuates current and future demand for the Artificial Intelligence in Telecommunication market across North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa. Further, the report focuses on demand, estimation, and forecast for individual application segments across all the prominent regions.

The research report also covers the comprehensive profiles of the key players in the market and an in-depth view of the competitive landscape worldwide. The major players in the artificial intelligence in telecommunication market include 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., and NVIDIA Corporation. This section consists of a holistic view of the competitive landscape that includes various strategic developments such as key mergers & acquisitions, future capacities, partnerships, financial overviews, collaborations, new product developments, new product launches, and other developments.

In case you have any custom requirements, do write to us. Our research team can offer a customized report as per your need.

Product Code: VMR11218827

1 . PREFACE

1.1. Report Description
- 1.1.1. Objective
- 1.1.2. Target Audience
- 1.1.3. Unique Selling Proposition (USP) & offerings
1.2. Research Scope
1.3. Research Methodology
- 1.3.1. Market Research Process
- 1.3.2. Market Research Methodology

2 . EXECUTIVE SUMMARY

2.1. Highlights of Market
2.2. Global Market Snapshot

3 . ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION - INDUSTRY ANALYSIS

3.1. Introduction - Market Dynamics
3.2. Market Drivers
3.3. Market Restraints
3.4. Opportunities
3.5. Industry Trends
3.6. Porter's Five Force Analysis
3.7. Market Attractiveness Analysis
- 3.7.1 Market Attractiveness Analysis By Application
- 3.7.2 Market Attractiveness Analysis By Region

4 . VALUE CHAIN ANALYSIS

4.1. Value Chain Analysis
4.2. Raw Material Analysis
- 4.2.1. List of Raw Materials
- 4.2.2. Raw Material Manufactures List
- 4.2.3. Price Trend of Key Raw Materials
4.3. List of Potential Buyers
4.4. Marketing Channel
- 4.4.1. Direct Marketing
- 4.4.2. Indirect Marketing
- 4.4.3. Marketing Channel Development Trend

5 . IMPACT ANALYSIS OF COVID-19 OUTBREAK

6 . GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY APPLICATION

6.1 Overview by Application
6.2 Historical and Forecast Data
6.3 Analysis by Application
6.4 Network Security Historic and Forecast Sales by Regions
6.5 Network Optimization Historic and Forecast Sales by Regions
6.6 Customer Analytics Historic and Forecast Sales by Regions
6.7 Virtual Assistance Historic and Forecast Sales by Regions
6.8 Self-Diagnostics Historic and Forecast Sales by Regions
6.9 Others Historic and Forecast Sales by Regions

7 . GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET ANALYSIS BY GEOGRAPHY

7.1. Regional Outlook
7.2. Introduction
7.3. North America Sales Analysis
- 7.3.1. Overview, Historic and Forecast Sales Analysis
- 7.3.2. North America By Segment Sales Analysis
- 7.3.3. North America By Country Sales Analysis
- 7.3.4. United State Sales Analysis
- 7.3.5. Canada Sales Analysis
- 7.3.6. Mexico Sales Analysis
7.4. Europe Sales Analysis
- 7.4.1. Overview, Historic and Forecast Sales Analysis
- 7.4.2. Europe by Segment Sales Analysis
- 7.4.3. Europe by Country Sales Analysis
- 7.4.4. United Kingdom Sales Analysis
- 7.4.5. France Sales Analysis
- 7.4.6. Germany Sales Analysis
- 7.4.7. Italy Sales Analysis
- 7.4.8. Russia Sales Analysis
- 7.4.9. Rest Of Europe Sales Analysis
7.5. Asia Pacific Sales Analysis
- 7.5.1. Overview, Historic and Forecast Sales Analysis
- 7.5.2. Asia Pacific by Segment Sales Analysis
- 7.5.3. Asia Pacific by Country Sales Analysis
- 7.5.4. China Sales Analysis
- 7.5.5. India Sales Analysis
- 7.5.6. Japan Sales Analysis
- 7.5.7. South Korea Sales Analysis
- 7.5.8. Australia Sales Analysis
- 7.5.9. Rest Of Asia Pacific Sales Analysis
7.6. Latin America Sales Analysis
- 7.6.1. Overview, Historic and Forecast Sales Analysis
- 7.6.2. Latin America by Segment Sales Analysis
- 7.6.3. Latin America by Country Sales Analysis
- 7.6.4. Brazil Sales Analysis
- 7.6.5. Argentina Sales Analysis
- 7.6.6. Peru Sales Analysis
- 7.6.7. Chile Sales Analysis
- 7.6.8. Rest of Latin America Sales Analysis
7.7. Middle East & Africa Sales Analysis
- 7.7.1. Overview, Historic and Forecast Sales Analysis
- 7.7.2. Middle East & Africa by Segment Sales Analysis
- 7.7.3. Middle East & Africa by Country Sales Analysis
- 7.7.4. Saudi Arabia Sales Analysis
- 7.7.5. UAE Sales Analysis
- 7.7.6. Israel Sales Analysis
- 7.7.7. South Africa Sales Analysis
- 7.7.8. Rest Of Middle East And Africa Sales Analysis

8 . COMPETITIVE LANDSCAPE OF THE ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION COMPANIES

8.1. Artificial Intelligence In Telecommunication Market Competition
8.2. Partnership/Collaboration/Agreement
8.3. Merger And Acquisitions
8.4. New Product Launch
8.5. Other Developments

9 . COMPANY PROFILES OF ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION INDUSTRY

9.1. Top Companies Market Share Analysis
9.2. Market Concentration Rate
9.3. IBM Corporation
- 9.3.1. Company Overview
- 9.3.2. Company Revenue
- 9.3.3. Products
- 9.3.4. Recent Developments
9.4. Microsoft
- 9.4.1. Company Overview
- 9.4.2. Company Revenue
- 9.4.3. Products
- 9.4.4. Recent Developments
9.5. Intel Corporation
- 9.5.1. Company Overview
- 9.5.2. Company Revenue
- 9.5.3. Products
- 9.5.4. Recent Developments
9.6. Google
- 9.6.1. Company Overview
- 9.6.2. Company Revenue
- 9.6.3. Products
- 9.6.4. Recent Developments
9.7. AT&T Intellectual Property
- 9.7.1. Company Overview
- 9.7.2. Company Revenue
- 9.7.3. Products
- 9.7.4. Recent Developments
9.8. Cisco Systems
- 9.8.1. Company Overview
- 9.8.2. Company Revenue
- 9.8.3. Products
- 9.8.4. Recent Developments
9.9. Nuance Communications Inc.
- 9.9.1. Company Overview
- 9.9.2. Company Revenue
- 9.9.3. Products
- 9.9.4. Recent Developments
9.10. Evolv Technology Solutions Inc.
- 9.10.1. Company Overview
- 9.10.2. Company Revenue
- 9.10.3. Products
- 9.10.4. Recent Developments
9.11. H2O.ai
- 9.11.1. Company Overview
- 9.11.2. Company Revenue
- 9.11.3. Products
- 9.11.4. Recent Developments
9.12. Infosys Limited
- 9.12.1. Company Overview
- 9.12.2. Company Revenue
- 9.12.3. Products
- 9.12.4. Recent Developments
9.13. Salesforce.com Inc.
- 9.13.1. Company Overview
- 9.13.2. Company Revenue
- 9.13.3. Products
- 9.13.4. Recent Developments
9.14. NVIDIA Corporation
- 9.14.1. Company Overview
- 9.14.2. Company Revenue
- 9.14.3. Products
- 9.14.4. Recent Developments

Note - in company profiling, financial details and recent development are subject to availability or might not be covered in case of private companies