Artificial Intelligence in Telecommunication Market

Artificial Intelligence in Telecommunication Market by Applications (Virtual Assistance, Self-diagnostics, Customer Analytics, Network Security, Network Optimization, and Others) and Regions (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2021 – 2028

  • Report ID: ICT-SE-3549
  • Author: Growth Market Reports
  • Rating: 4.6
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  • No. Of Pages: 208
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The global artificial intelligence in the telecommunication market size was valued at USD 679.1 million in 2020 and is estimated to expand at a CAGR of 38.5% during the forecast period, 2021–2028. The growth of the market is attributed to the use of artificial intelligence (AI) to improve customer experience and network dependability, among other things.

Artificial Intelligence in Telecommunication Market

Artificial intelligence (AI) is an advanced technology that focuses on developing intelligent machines to perform several tasks without the interference of human intelligence. AI in telecommunications implies the adoption of intelligent solutions to improve the electrical transmission of data over great distances, which include speech, data, and video transmissions of various kinds. AI is most widely used by telecommunications corporations for various customer service applications. Chatbots and virtual assistants are being used to help with a vast number of installations, maintenance, and troubleshooting questions. Virtual assistants also scale and automate responses to support claims, enhancing the customer experience while saving expenses. Vodafone Ltd., for example, saw a 68% improvement in customer experience after introducing its chatbot, TOBi, to manage customer problems. Mobile communications are increasingly shifting from fourth-generation (4G) to fifth-generation (5G) in the telecommunications industry that would allow to offer various key services such as higher data transfer speeds and ultra-low latency of communication networks. Furthermore, the growth of over-the-top (OTT) services such as video streaming, has altered the distribution and consumption of audio and video content.

The COVID-19 pandemic has resulted in significant and severe changes in our daily life and corporate practices. Many businesses have put on hold their offices as employees were given opportunity to work from home and schools were shut vastly. As several businesses are turning their eyes on to online learning and conferences, the demand for advanced technology on telecom services are rising substantially. As a result, telecom businesses are increasingly offering automation and AI to improve customer care and network efficiency.  

Market Trends, Drivers, Restraints, and Opportunities

  • AI in telecommunication assists network operations in detecting and diagnosing issues such as Service-Level Agreement breaches. This factor is driving the market growth.
  • Minimizing the amount of human interaction required for network configuration and maintenance, AI offer cost-effective services that can help the telecom industry save money. Henceforth, low maintenance of solutions is estimated to fuel the market.
  • Lack of expertise handling the system and scarcity of data analytics tools are major challenges that can hinder the market growth.
  • Increasing customer service automation allows telecom businesses to save money and expansion of virtual help ensures smooth networking. These are key factors creating significant growth opportunities for the market during the forecast period.  

Scope of the Report

The report on the global artificial intelligence in telecommunication market includes an assessment of the market, trends, segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Artificial Intelligence in Telecommunication Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2020

Historic Data

2018–2019

Forecast Period

2021–2028

Segmentation

Applications (Virtual Assistance, Self-diagnostics, Customer Analytics, Network Security, Network Optimization, and Others)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, and Trends, and Revenue Forecast

Key Players Covered in the Report

Evolv Technology Solutions, Inc.; H2O.ai; Infosys Limited; Salesforce.com, Inc.; NVIDIA Corporation; IBM Corporation; Microsoft; Intel Corporation; Google; AT&T Intellectual Property; Cisco Systems; and Nuance Communications, Inc.

Artificial Intelligence in Telecommunication Market Segment Insights

Virtual assistance segment is expected to grow at a rapid pace

Based on applications, the artificial intelligence in telecommunication market is divided into virtual assistance, self-diagnostics, customer analytics, network security, network optimization, and others. The virtual assistance segment is expected to grow at a rapid pace during the forecast period due to the fact that customer service automation saves telecom firms a lot of money. AI allows operators to collect and evaluate client data from perspective of a subscriber intelligencer. This information can be used in a variety of ways including adverts and personalized offers for subscribers.  However, the customer analytics segment is anticipated to hold a key share of the market in the coming years due to the increased demand for real-time behavioral insights. In the communication business, customer service chatbots estimated to be properly educated, since machine learning algorithms are able to automate enquires and send clients to the most appropriate representative.

Artificial Intelligence in Telecommunication Market

Asia Pacific is anticipated to constitute a key market share

In terms of regions, the market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. The market of the Asia Pacific is expected to constitute a key share of the market during the projected period due to rapid introduction of technological advancement in the telecom industry in the emerging economies such as China and India. However, the market of North America is anticipated to expand at a rapid pace during the forecast period owing to the growing number of telecom businesses that use automation and AI for customer care, engagement, and corporate efficiency in the region.

Artificial Intelligence in Telecommunication Market

Segments

Segments Covered in the Report

The global artificial intelligence in telecommunication market has been segmented on the basis of

Applications

  • Virtual Assistance
  • Self-diagnostics
  • Customer Analytics
  • Network Security
  • Network Optimization
  • Others

Regions

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  •  Evolv Technology Solutions Inc.
  •  H2O.ai
  •  Infosys Limited
  •  Salesforce.com, Inc.
  •  NVIDIA Corporation
  •  IBM Corporation
  •  Microsoft
  •  Intel Corporation
  •  Google
  •  AT&T Intellectual Property
  •  Cisco Systems
  •  Nuance Communications, Inc.

Competitive Landscape

Key players competing in the global artificial intelligence in telecommunication market are Evolv Technology Solutions, Inc.; H2O.ai; Infosys Limited; Salesforce.com, Inc.; and NVIDIA Corporation; IBM Corporation; Microsoft; Intel Corporation; Google; AT&T Intellectual Property; Cisco Systems; and Nuance Communications, Inc.

Vendors in the industry are concentrating their efforts on expanding their client base through strategic initiatives such as partnerships, mergers and acquisitions, and collaborations. In May 2019, Vodafone Ltd. had made an agreement with IBM Corp to give the former company with a hybrid cloud-based digital platform. Huawei Technologies Co., Ltd., a global telecommunications equipment and consumer electronics manufacturer, had entered into a collaboration with China Telecom Corporation Ltd., a provider of internet access and mobile telecommunications services. Based on the network AI Engine, this partnership was expected to investigate radio cell capacity prediction and wireless network cell anomaly detection.

Artificial Intelligence in Telecommunication Market

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Artificial Intelligence in Telecommunication Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Artificial Intelligence in Telecommunication Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Artificial Intelligence in Telecommunication Market - Supply Chain
  4.5. Global Artificial Intelligence in Telecommunication Market Forecast
     4.5.1. Artificial Intelligence in Telecommunication Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Artificial Intelligence in Telecommunication Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Artificial Intelligence in Telecommunication Market Absolute $ Opportunity
5. Global Artificial Intelligence in Telecommunication Market Analysis and Forecast by Region
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by Region
     5.2.2. Y-o-Y Growth Projections by Region
  5.3. Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Region
     5.3.1. North America
     5.3.2. Latin America
     5.3.3. Europe
     5.3.4. Asia Pacific
     5.3.5. Middle East and Africa (MEA)
  5.4. Absolute $ Opportunity Assessment by Region
  5.5. Market Attractiveness/Growth Potential Analysis by Region
  5.6. Global Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
6. North America Artificial Intelligence in Telecommunication Market Analysis and Forecast
  6.1. Introduction
     6.1.1. Basis Point Share (BPS) Analysis by Country
     6.1.2. Y-o-Y Growth Projections by Country
  6.2. North America Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Country
     6.2.1. U.S.
     6.2.2. Canada
  6.3. Absolute $ Opportunity Assessment by Country
  6.4. Market Attractiveness/Growth Potential Analysis
     6.4.1. By Country
     6.4.2. By Product Type
     6.4.3. By Application
  6.5. North America Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
7. Latin America Artificial Intelligence in Telecommunication Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
     7.1.3. Latin America Average Pricing Analysis
  7.2. Latin America Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Country
      7.2.1. Brazil
      7.2.2. Mexico
      7.2.3. Rest of Latin America
   7.3. Absolute $ Opportunity Assessment by Country
  7.4. Market Attractiveness/Growth Potential Analysis
     7.4.1. By Country
     7.4.2. By Product Type
     7.4.3. By Application
  7.5. Latin America Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
8. Europe Artificial Intelligence in Telecommunication Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Europe Average Pricing Analysis
  8.2. Europe Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Country
     8.2.1. Germany
     8.2.2. France
     8.2.3. Italy
     8.2.4. U.K.
     8.2.5. Spain
     8.2.6. Russia
     8.2.7. Rest of Europe
  8.3. Absolute $ Opportunity Assessment by Country
  8.4. Market Attractiveness/Growth Potential Analysis
     8.4.1. By Country
     8.4.2. By Product Type
     8.4.3. By Application
  8.5. Europe Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
9. Asia Pacific Artificial Intelligence in Telecommunication Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Asia Pacific Average Pricing Analysis
  9.2. Asia Pacific Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Country
     9.2.1. China
     9.2.2. Japan
     9.2.3. South Korea
     9.2.4. India
     9.2.5. Australia
     9.2.6. Rest of Asia Pacific (APAC)
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Market Attractiveness/Growth Potential Analysis
     9.4.1. By Country
     9.4.2. By Product Type
     9.4.3. By Application
  9.5. Asia Pacific Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
10. Middle East & Africa Artificial Intelligence in Telecommunication Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Middle East & Africa Average Pricing Analysis
  10.2. Middle East & Africa Artificial Intelligence in Telecommunication Market Size and Volume Forecast by Country
     10.2.1. Saudi Arabia
     10.2.2. South Africa
     10.2.3. UAE
     10.2.4. Rest of Middle East & Africa (MEA)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Market Attractiveness/Growth Potential Analysis
     10.4.1. By Country
     10.4.2. By Product Type
     10.4.3. By Application
  10.5. Middle East & Africa Artificial Intelligence in Telecommunication Demand Share Forecast, 2019-2026
11. Competition Landscape
  11.1. Global Artificial Intelligence in Telecommunication Market: Market Share Analysis
  11.2. Artificial Intelligence in Telecommunication Distributors and Customers
  11.3. Artificial Intelligence in Telecommunication Market: Competitive Dashboard
  11.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)

Segments Covered in the Report

The global artificial intelligence in telecommunication market has been segmented on the basis of

Applications

  • Virtual Assistance
  • Self-diagnostics
  • Customer Analytics
  • Network Security
  • Network Optimization
  • Others

Regions

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  •  Evolv Technology Solutions Inc.
  •  H2O.ai
  •  Infosys Limited
  •  Salesforce.com, Inc.
  •  NVIDIA Corporation
  •  IBM Corporation
  •  Microsoft
  •  Intel Corporation
  •  Google
  •  AT&T Intellectual Property
  •  Cisco Systems
  •  Nuance Communications, Inc.

Key players competing in the global artificial intelligence in telecommunication market are Evolv Technology Solutions, Inc.; H2O.ai; Infosys Limited; Salesforce.com, Inc.; and NVIDIA Corporation; IBM Corporation; Microsoft; Intel Corporation; Google; AT&T Intellectual Property; Cisco Systems; and Nuance Communications, Inc.

Vendors in the industry are concentrating their efforts on expanding their client base through strategic initiatives such as partnerships, mergers and acquisitions, and collaborations. In May 2019, Vodafone Ltd. had made an agreement with IBM Corp to give the former company with a hybrid cloud-based digital platform. Huawei Technologies Co., Ltd., a global telecommunications equipment and consumer electronics manufacturer, had entered into a collaboration with China Telecom Corporation Ltd., a provider of internet access and mobile telecommunications services. Based on the network AI Engine, this partnership was expected to investigate radio cell capacity prediction and wireless network cell anomaly detection.

Artificial Intelligence in Telecommunication Market

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