Artificial Intelligence in Telecommunication Market 2027 by Types, Application, Technology, Opportunities, End Users and Regions | The Insight Partners

Artificial Intelligence in Telecommunication Market Forecast to 2027 - Covid-19 Impact and Global Analysis - by Deployment mode (Cloud and On-premises), Component (Service and Solution), Technology (Natural Learning Processing and Machine Learning & Deep learning), Application (Self Diagnostics, Virtual Assistance, Network Optimization, Customer Analytics, and Network Security)

Report Code: TIPTE100001302 | No. of Pages: 150 | Category: Technology, Media and Telecommunications | Status: Upcoming
Covid
MARKET INTRODUCTION

The artificial intelligence (AI) is an advanced technology that has decision-making ability. The technology focuses on creating intelligent machines with advanced features like image recognition, speech recognition, visual perception, and translation between languages. The artificial intelligence in telecommunication has the potential to change the operation and functioning of various industry sectors owing to the immense potential it holds to achieve a breakthrough for various ideas. The artificial intelligence in telecommunication, in particular, has wide scope for the application of in the front end, customer service, or network performance.

MARKET DYNAMICS

The utilization of AI-enabled smartphones and an increase in the adoption of Artificial Intelligence (AI) for various applications in the telecommunication industry are some of the significant factors driving the growth of the artificial intelligence in the telecommunication market. Furthermore, the increasing necessity to monitor content on the telecommunication network and surge to eradicate human error from the telecommunication networks are other factors driving the global AI in the telecommunication market. Moreover, the initiation of 5G technologies in mobile networks is anticipated to give a great boost to AI in the telecommunication market.

MARKET SCOPE

The "Global Artificial Intelligence in Telecommunication Market Analysis to 2027" is a specialized and in-depth study of the artificial intelligence in telecommunication market with a special focus on the global market trend analysis. The report aims to provide an overview of artificial intelligence in telecommunication market with detailed market segmentation by deployment model, component, technology, applications. The global artificial intelligence in telecommunication market is expected to witness high growth during the forecast period. The report provides key statistics on the market status of the leading artificial intelligence in telecommunication market players and offers key trends and opportunities in the artificial intelligence in telecommunication market.

MARKET SEGMENTATION

The global artificial intelligence in telecommunication market is segmented on the basis of deployment model, component, technology, applications. On the basis of deployment model, the market is segmented as on-premises, cloud. On the basis of component, the market is segmented as solutions, services. On the basis of technology, the market is segmented as natural learning processing, machine learning and deep learning, others. On the basis of application, the market is segmented as self-diagnostics, virtual assistance, network optimization, customer analytics, network security, others.

REGIONAL FRAMEWORK

The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides overview and forecast of the global artificial intelligence in telecommunication market based on various segments. It also provides market size and forecast estimates from year 2017 to 2027 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), Middle East and Africa (MEA) and South America. The artificial intelligence in telecommunication market by each region is later sub-segmented by respective countries and segments. The report covers analysis and forecast of 18 countries globally along with current trend and opportunities prevailing in the region.

The report analyzes factors affecting artificial intelligence in telecommunication market from both demand and supply side and further evaluates market dynamics effecting the market during the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA and South America after evaluating political, economic, social and technological factors effecting the artificial intelligence in telecommunication market in these regions.

MARKET PLAYERS

The reports cover key developments in the artificial intelligence in telecommunication market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the market were acquisitions, and partnership & collaborations. These activities have paved way for expansion of business and customer base of market players. The market players from artificial intelligence in telecommunication market are anticipated to lucrative growth opportunities in the future with the rising demand for artificial intelligence in telecommunication market. Below mentioned is the list of few companies engaged in the artificial intelligence in telecommunication market.

The report also includes the profiles of key artificial intelligence in telecommunication market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information of last 3 years, key development in past five years.

- Amdocs
- AT and T Inc
- Cisco Systems, Inc.
- Huawei Technologies Co., Ltd.
- IBM Corporation
- INFOSYS LIMITED
- Intel Corporation
- Nuance Communications
- Telefonaktiebolaget LM Ericsson
- ZTE Corporation.

The Insight Partners dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.
1 Introduction
1.1 Scope of Study
1.2 The Insight Partners Research Report Guidance

2 Key Takeaways
3 AI in Telecommunication Market Landscape
3.1 Market Overview
3.2 Market Segmentation
3.2.1 AI in Telecommunication Market - By Deployment mode
3.2.2 AI in Telecommunication Market - By Component
3.2.3 AI in Telecommunication Market - By Technology
3.2.4 AI in Telecommunication Market - By Application
3.2.5 AI in Telecommunication Market - By Region
3.2.5.1 By Countries

3.3 PEST Analysis
3.3.1 North America - PEST Analysis
3.3.2 Europe - PEST Analysis
3.3.3 Asia Pacific - PEST Analysis
3.3.4 Middle East and Africa - PEST Analysis
3.3.5 South America - PEST Analysis

4 AI in Telecommunication - Key Industry Dynamics
4.1 Key Market Drivers
4.2 Key Market Restraints
4.3 Key Market Opportunities
4.4 Future Trends
4.5 Impact Analysis

5 AI in Telecommunication Analysis- Global
5.1 AI in Telecommunication Market Overview
5.2 AI in Telecommunication Market Forecasts and Analysis

6 AI in Telecommunication Market Revenue and Forecasts to 2027 - Deployment mode
6.1 Overview
6.2 Deployment mode Market Forecasts and Analysis
6.3 Cloud
6.3.1 Overview
6.3.2 Cloud Market Forecasts and Analysis
6.4 On-premises
6.4.1 Overview
6.4.2 On-premises Market Forecasts and Analysis

7 AI in Telecommunication Market Revenue and Forecasts to 2027 -Component
7.1 Overview
7.2 Component Market Forecasts and Analysis
7.3 Service
7.3.1 Overview
7.3.2 Service Market Forecast and Analysis
7.4 Solution
7.4.1 Overview
7.4.2 Solution Market Forecast and Analysis

8 AI in Telecommunication Market Revenue and Forecasts to 2027 -Technology
8.1 Overview
8.2 Technology Market Forecasts and Analysis
8.3 Natural learning processing
8.3.1 Overview
8.3.2 Natural Learning Processing Market Forecast and Analysis
8.4 Machine Learning & Deep Learning
8.4.1 Overview
8.4.2 Machine Learning & Deep Learning Market Forecast and Analysis
9 AI in Telecommunication Market Revenue and Forecasts to 2027 - Application
9.1 Overview
9.2 Application Market Forecasts and Analysis
9.3 Self-diagnostics
9.3.1 Overview
9.3.2 Self-diagnostics Market Forecasts and Analysis
9.4 Virtual Assistance
9.4.1 Overview
9.4.2 Virtual Assistance Market Forecasts and Analysis
9.5 Network Optimization
9.5.1 Overview
9.5.2 Network Optimization Market Forecasts and Analysis
9.6 Customer Analytics
9.6.1 Overview
9.6.2 Customer Analytics Market Forecast and Analysis
9.7 Network Security
9.7.1 Overview
9.7.2 Network Security Market Forecast and Analysis
9.8 Others
9.8.1 Overview
9.8.2 Other Market Forecast and Analysis
10 AI in Telecommunication Market Revenue and Forecasts to 2027 - Geographical Analysis
10.1 North America
10.1.1 North America AI in telecommunication Market Overview
10.1.2 North America AI in telecommunication Market Forecasts and Analysis
10.1.2.1 North America Market Forecasts and Analysis - By Countries
10.1.2.1.1 US market
10.1.2.1.2 Canada market
10.1.2.1.3 Mexico market
10.1.3 AI in Telecommunication Market - By Deployment mode
10.1.4 AI in Telecommunication Market - By Component
10.1.5 AI in Telecommunication Market - By Technology
10.1.6 AI in Telecommunication Market - By Application
10.2 Europe
10.2.1 Europe AI in telecommunication Market Overview
10.2.2 Europe AI in telecommunication Market Forecasts and Analysis
10.2.2.1 Europe Market Forecasts and Analysis - By Countries
10.2.2.1.1 France market
10.2.2.1.2 Germany market
10.2.2.1.3 Italy market
10.2.2.1.4 Spain market
10.2.2.1.5 UK market
10.2.3 AI in Telecommunication Market - By Deployment mode
10.2.4 AI in Telecommunication Market - By Component
10.2.5 AI in Telecommunication Market - By Technology
10.2.6 AI in Telecommunication Market - By Application
10.3 Asia pacific (APAC)
10.3.1 Asia Pacific AI in telecommunication Market Overview
10.3.2 Asia Pacific AI in telecommunication Market Forecasts and Analysis
10.3.2.1 Asia Pacific Market Forecasts and Analysis - By Countries
10.3.2.1.1 Australia market
10.3.2.1.2 China market
10.3.2.1.3 India market
10.3.2.1.4 Japan market
10.3.3 AI in Telecommunication Market - By Deployment mode
10.3.4 AI in Telecommunication Market - By Component
10.3.5 AI in Telecommunication Market - By Technology
10.3.6 AI in Telecommunication Market - By Application
10.4 Middle East and Africa (MEA)
10.4.1 Middle East and Africa AI in telecommunication Market Overview
10.4.2 Middle East and Africa AI in telecommunication Market Forecasts and Analysis
10.4.2.1 Middle East and Africa Market Forecasts and Analysis - By Countries
10.4.2.1.1 South Africa market
10.4.2.1.2 Saudi Arabia market
10.4.2.1.3 UAE market
10.4.3 AI in Telecommunication Market - By Deployment mode
10.4.4 AI in Telecommunication Market - By Component
10.4.5 AI in Telecommunication Market - By Technology
10.4.6 AI in Telecommunication Market - By Application
10.5 South America (SAM)
10.5.1 South America AI in telecommunication Market Overview
10.5.2 South America AI in telecommunication Market Forecasts and Analysis
10.5.2.1 South America Market Forecasts and Analysis - By Countries
10.5.2.1.1 Brazil market
10.5.3 AI in Telecommunication Market - By Deployment mode
10.5.4 AI in Telecommunication Market - By Component
10.5.5 AI in Telecommunication Market - By Technology
10.5.6 AI in Telecommunication Market - By Application

11 Industry Landscape
11.1 Mergers & acquisitions
11.2 Market Initiatives
11.3 New developments
11.4 Investment scenarios

12 Competitive Landscape
12.1 Competitive Product mapping
12.2 Market Positioning/ Market Share

13 AI in Telecommunication Market, Key Company Profiles
13.1 Google LLC
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Financial Overview
13.1.4 SWOT Analysis
13.1.5 Key Developments
13.2 Iris.ai AS
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Financial Overview
13.2.4 SWOT Analysis
13.2.5 Key Developments
13.3 AIBrain
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Financial Overview
13.3.4 SWOT Analysis
13.3.5 Key Developments
13.4 DeepMind Technologies Limited
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Financial Overview
13.4.4 SWOT Analysis
13.4.5 Key Developments
13.5 Intel Corporation
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Financial Overview
13.5.4 SWOT Analysis
13.5.5 Key Developments
13.6 Cisco Systems, Inc.
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Financial Overview
13.6.4 SWOT Analysis
13.6.5 Key Developments
13.7 Nuance Communications
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Financial Overview
13.7.4 SWOT Analysis
13.7.5 Key Developments
13.8 H2O.ai.
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Financial Overview
13.8.4 SWOT Analysis
13.8.5 Key Developments
13.9 NVIDIA Corporation
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Financial Overview
13.9.4 SWOT Analysis
13.9.5 Key Developments
13.10 Salesforce.com, Inc.
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Financial Overview
13.10.4 SWOT Analysis
13.10.5 Key Developments

14 Appendix
14.1 About The Insight Partners
14.2 Glossary of Terms
14.3 Research Methodology
The List of Companies

1. Google LLC
2. Iris.ai AS
3. AIBrain
4. DeepMind Technologies Limited
5. Intel Corporation
6. Cisco Systems, Inc.
7. Nuance Communications
8. H2O.ai.
9. NVIDIA Corporation
10. Salesforce.com, Inc.
TIPTE100001302
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