AI in Telecommunication Market

Artificial intelligence allows the telecommunication industry to derive insights from their huge data sets and make it easy to manage the daily business activities and resolve problems more efficiently and also offer enhanced customer service and satisfaction. Artificial intelligence is an advanced technology which has the ability to make decisions similar to human intelligence. This technology emphasizes on developing an intelligent machine with the advancement in features such as speech recognition, image recognition, visual recognition and translation between languages. The increasing number of AI-enabled smartphones with various numbers of features such as robust security, image recognition, voice recognition and various as compared to conventional phones is fueling the growth of AI in the telecommunication market. Also this is a key reason artificial intelligence is becoming popular among the users.  In addition, to serve the complex processes or telecom services, AI offers a simpler and easier interface in telecommunication. In addition to all this, Al and machine learning are emerging in the telecommunication since they assists organizations with virtualization and cloud computing. Rising complexity in networking applications is propelling the requirement for network automation and agility in telecommunication. The rising over-the-top (OTT) services, such as video streaming, have transformed the delivery and consumption of audio and video content. Since most of the customers shifting towards OTT services, the requirement for bandwidth has increased majorly. Conveying such ever-rising traffic from OTT services leads to the high operating Expenditure (OpEx) for the telecommunications industry. Hence, AI enables the telecommunications industry to reduce operating costs by minimizing the human intervention required for network setup and maintenance. Apart from this, the rising concerns and issues associated to incompatibility and undependable artificial intelligence algorithms are factors to restrain the market growth.

In addition, the rising demand for effective and efficient cloud-based AI solutions in telecommunication industry is creating huge opportunities for the AI in telecommunication. Furthermore, advancements such as 5G technology in mobile and the increasing requirement to monitor content on the tale communication network to avoid human error from telecommunication is also creating growth prospects for AI in the Telecommunication Market. For an example, the Chinese government is putting efforts to enhance its network services and telecommunication services; hence china Telecom Corporation has started a new 5G base station in Lanzhou city.

The global AI in Telecommunication Market is segregated on the basis of Technology as Machine learning and deep learning and Natural Language Processing (NLP). Based on Application the global AI in Telecommunication Market is segmented in Customer analytics, Network security, Network optimization, Self-diagnostics, Virtual assistance and Others. Based on Component the global AI in Telecommunication Market is segmented in Solutions and Services. Based on Deployment Mode the global AI in Telecommunication Market is segmented in Cloud and On-premises.

The global AI in Telecommunication Market report provides geographic analysis covering regions, such as Europe, North America, Asia Pacific, and Rest of The World. The AI in Telecommunication Market for each region is further segmented for major countries including the U.S., Canada, Germany, the U.K., France, Italy, China, India, Japan, Brazil, South Africa, and others.

Competitive Analysis

Google LLC, Microsoft Corporation, Nuance Communications, Inc., Infosys Limited, International Business Machines Corporation and others are among the major players in the global AI in Telecommunication Market. The companies studied in terms of product strategy and various n several growth and expansion strategies to gain a competitive edge in the market. The major players not only follow value chain integration with business operations in multiple stages of the value chain.

• In October 2020, Infosys Limited, leading market player in next-generation digital services and consulting finished its successful acquisition over Blue Acorn iCi, a digital customer experience, commerce and analytics company. The acquisition is projected to improve the end-to-end customer experience offerings by Infosys and also is anticipated to help in tracking their digital transformations.
• In March 2020, Google Cloud declared an exclusive new strategy to support telecommunications companies digitally transform. Google Cloud’s strategy emphasizes on three key business results for telecommunications companies which include engaging customers with data-driven experiences, monetizing 5G as a business services platform and enhancing operational efficiency among telecom core systems.
• In May 2019, Vodafone Ltd. signed an outsourcing contract with IBM Corporation. This collaboration is expected to offer the previous company with a hybrid cloud-based digital platform to help in better customer engagement and improve business efficiency.

The global AI in Telecommunication Market has been segmented as below:

AI in Telecommunication Market, By Technology

• Machine learning and deep learning
• Natural Language Processing (NLP)

AI in Telecommunication Market, By Application

• Customer analytics
• Network security
• Network optimization
• Self-diagnostics
• Virtual assistance
• Others

AI in Telecommunication Market, By Component

• Solutions
• Services

AI in Telecommunication Market, By Deployment Mode

• Cloud
• On-premises

AI in Telecommunication Market, By Region

• Europe
• North America
• Asia Pacific
• Rest of The World

AI in Telecommunication Market, By Company

• Google LLC
• Microsoft Corporation
• Nuance Communications, Inc.
• Infosys Limited
• International Business Machines Corporation
• Apple. Inc.
• AT&T Intellectual Property
• Intel Corporation
• Cisco Systems Inc.
• NVIDIA Corporation
• Atomwise, Inc.
• Amazon
• Sentient Technologies
• Salesforce.com, Inc.
• H2O.ai Inc.
• Colt
• Sense.ly, Inc.
• Lifegraph, Baidu, Inc.
• Globe Telecom

The report covers the below scope:

• Global AI in Telecommunication Market sizes from 2020 to 2026, along with CAGR for 2020-2026
• Market size comparison for 2019 vs 2026, with actual data for 2019, estimates for 2019 and forecast from 2020 to 2026
• Global AI in Telecommunication Market trends, covering comprehensive range of consumer trends & manufacturer trends
• Value chain analysis covering participants from raw material suppliers to the downstream buyer in the global AI in Telecommunication Market
• Major market opportunities and challenges in forecast timeframe to be focused
• Competitive landscape with analysis on competition pattern, portfolio comparisons, development trends and strategic management
• Comprehensive company profiles of the key industry players

The years considered for the study are as follows:

• Base year - 2019
• Estimated year - 2019
• Projected year - 2020
• Forecast period - 2021 to 2026

Report Scope:

The global AI in Telecommunication Market report scope includes detailed study covering underlying factors influencing the industry trends. The report covers analysis on regional and country level market dynamics. The scope also covers competitive overview providing company market shares along with company profiles for major revenue contributing companies. The report scope includes detailed competitive outlook covering market shares and profiles key participants in the global AI in Telecommunication Market share. Major industry players with significant revenue share include Google LLC, Microsoft Corporation, Nuance Communications, Inc., Infosys Limited, International Business Machines Corporation and others.

Why to Buy this Report:

• Gain detailed insights on the AI in Telecommunication industry trends
• Find complete analysis on the market status
• Identify the AI in Telecommunication Market opportunities and growth segments
• Analyse competitive dynamics by evaluating business segments & product portfolios
• Facilitate strategy planning and industry dynamics to enhance decision making

Target Audience:

• The report targeted towards the existing players in the industry is as follows:
• Market Manufacturers/Service Providers
• Market Wholesale/Traders
• Investment and Financial Institutions

Free and Paid Customization based on the requirement

 

1.      Introduction

1.1.       Key Points

1.2.      Report Description

1.3.      Markets Covered

1.4.      Stakeholders

2.     Research Methodology

2.1.      Research Scope

2.2.     Research Methodology

2.2.1.     Market Research Process

2.2.2.    Research Methodology

2.2.2.1.           Secondary Research

2.2.2.2.          Primary Research

2.2.2.3.          Models for Estimation

2.3.     Market Size Estimation

2.3.1.     Bottom-Up Approach

2.3.2.    Top-Down Approach

3.     Executive Summary

4.    Market Overview

4.1.      Introduction

4.2.     Drivers

4.3.     Restraints

4.4.     Opportunities

4.5.     Challenges

5.     AI in Telecommunication Market, By Technology

5.1.      Key Points

5.2.  Machine learning and deep learning

5.3.  Natural Language Processing (NLP)

6.    AI in Telecommunication Market, By Application

6.1.      Key Points

6.2. Customer analytics

6.3. Network security

6.4. Network optimization

6.5.  Self-diagnostics

6.6. Virtual assistance

6.7.  Others

7.     AI in Telecommunication Market, By Component

7.1.      Key Points

7.2.  Solutions

7.3.  Services

8.    AI in Telecommunication Market, By Deployment Mode

8.1.      Key Points

8.2. Cloud

8.3. On-premises

9.    Competitive Landscape

9.1.      Introduction

9.2.     Start-up companies- AI in Telecommunication Market

9.3.     Recent Developments

9.3.1.     Mergers & Acquisitions

9.3.2.    New Product Developments

9.3.3.    Portfolio/Production Capacity Expansions

9.3.4.    Joint Ventures, Collaborations, Partnerships & Agreements

9.3.5.     Others

10.            Company Profile

10.1.                    Google LLC

10.2.                   Microsoft Corporation

10.3.                   Nuance Communications, Inc.

10.4.                   Infosys Limited

10.5.                   International Business Machines Corporation

10.6.                   Apple. Inc.

10.7.                    AT&T Intellectual Property

10.8.                   Intel Corporation

10.9.                   Cisco Systems Inc.

10.10.               NVIDIA Corporation

10.11.                 Atomwise, Inc.

10.12.                Amazon

10.13.                Sentient Technologies

10.14.                Salesforce.com, Inc.

10.15.                H2O.ai Inc.

10.16.                Colt

10.17.                Sense.ly, Inc.

10.18.               Lifegraph, Baidu, Inc.

      10.19.                  Globe Telecom