AI in Telecommunication Market: Summary

The Global AI in Telecommunication Market is projected to reach a value of over USD 7.3 Billion by 2027 at a CAGR of around 39%.

Artificial intelligence (AI) is one of the software technologies that make a computer act and think like a human. AI helps the telecommunication operators to detect flaws in the network, network security, network optimization & offer virtual assistance. Moreover, it allows end users to optimize and improve network capabilities through faster decision making. Furthermore, telecommunication sectors are the rapidly growing industries and the sector which uses artificial intelligence and machine learning in different aspects for their business that includes improving the customer experience for predictive maintenance to enhance the network quality.

Moreover, artificial intelligence in telecommunication improves the customer services with the help of virtual assistants and chatbots.

AI IN TELECOMMUNICATION MARKET: Drivers & restraint

Market Driver:

Increasing Demand for Cloud Technologies

The increasing demand for cloud technologies in the field of telecommunication industries leads to improve and enhance networking automation and networking optimization which will lead to an increase in growth for AI in the telecommunication market. Moreover, the organizations are planning to provides flexible digital and information services for the users which cloud-based technologies. Also, it helps to improve network efficiency and reduce cost with network optimization by the operation automation process. Furthermore, Nokia has also launched machine learning-based Automation, Virtualized and Analytics (AVA) and cloud-based network management solutions to improve planning and for the service.

Hence, cloud-based technologies improve the automated process for efficient planning and connectivity of service which is expected to surge the AI in the Telecommunication Market during the forecast period.

Enhancement in Telecommunication Operation

The growth in the telecom operation process helps to improve user productivity, network reliability, and also optimize the business growth for high profit. Also, it helps in network maintenance processes and operational services which will increase the business growth of the organization. Moreover, it uses to optimize, disrupt and innovate the operation and services of the telecom industries. Moreover, it is used to automate the network operation and enhanced the customer experience by providing a quick solution. Furthermore, it also benefits to reduce human error, digital assistance, to make faster decisions and boost new inventions growth.

Therefore, enhancement in telecom. operation to rising the demand of the AI in the telecommunication market during the forecast period.

Market Restraint:

High-Cost Issues

With the creation of artificial intelligence required a huge amount of investment as it is a complex machine. Also, the repair and maintenance of the machine required a large amount of cost. Moreover, these technologies contain software programs in which need to update as per the requirements or by the environment. Furthermore, in case of a breakdown, the cost of repair is very high which may lead to hamper the growth of the market in the forecast period.

AI in Telecommunication Market: Key segments

Based on Component: Solution and Services
Based on Deployment Mode: Cloud and On-premise
Based on Application: Customer Service, Network Optimization, Robotic Process Automation (RPA), Fraud Detection, Virtual Assistants, Preventive maintenance and Cybersecurity
Based on Technology: Machine learning and Deep Learning and Natural Language Processing (NLP)
Segmentation based on region covers: North America, South America, Europe, Asia-Pacific, Middle East & Africa and South America, with individual country-level analysis

AI in Telecommunication Market: Report SCOPE

The report on the AI in telecommunication market covers a deep dive analysis of historic, recent and current market trends. furthermore, market share/ranking analysis of key players, market dynamics, competition landscape, country-wise analysis for each region covered and the entire supply chain dynamics are covered through the below segmentation.

Report Features	Specifics
Historical/Estimated/Forecasted Market Size Years	2018-2027
Base Year for Market Calculation	2019
Forecasted Period	2020-2027 (2020 estimated year, forecasted up to 2027)
Measured Units	Value (USD Million)
Segments Included	Component, Deployment Mode, Application, Technology, and Region
Regional Coverage	North America, Asia-Pacific, Europe, Middle East & Africa, South America

KEY Companies Covered

IBM Corporation (Company Description, Company Overview, Product Synopsis, Key Developments, SWOT Analysis)
Microsoft
Google
Intel Corporation
AT&T Intellectual Property
Cisco Systems, Inc.
Nuance Communications, Inc.
H2O.ai.
Salesforce.com, Inc.
NVIDIA Corporation
Other Key Companies

AI in Telecommunication Market: report segmentation

For the scope of the report, In-depth segmentation is offered by Forencis Research

AI in Telecommunication Market, by Component

Solution
Services

AI in Telecommunication Market, by Deployment Mode

Cloud
On-premise

AI in Telecommunication Market, by Application

Customer Service
Network Optimization
Robotic Process Automation (RPA)
Fraud Detection
Virtual Assistants
Preventive Maintenance
Cybersecurity

AI in Telecommunication Market, by Technology

Machine learning and Deep Learning
Natural Language Processing (NLP)

AI in Telecommunication Market, by Region

North America
- US
- Canada
- Mexico
Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Europe
- Germany
- UK
- France
- Italy
- Rest of Europe
Middle East & Africa
- Saudi Arabia
- UAE
- Rest of Middle East & Africa
South America
- Brazil
- Argentina
- Rest of South America

Key Questions answered by the report

What are the important developments affecting the market globally and its growth?
What will be the impact of the developments in the market on the industry and on the market competitor in the future?
What are the evolving variations of the market worldwide?
What are the evolving functions of the market worldwide?
What is the important condition that will affect market growth worldwide during the study period?
Who are the major players operating in the market across the globe?
How are the major players leveraging in the present market scenario worldwide?

Report Audience

AI in Telecommunication Market Providers
AI in Telecommunication Market Solution and Services Suppliers, Distributors and Dealers
End-Users of Varied Segments of AI in Telecommunication Market
Government Bodies and Intellectual Institutions
Associations and Industrial Organizations
Research & Consulting Service Providers
Research & Development Organizations
Investment Banks & Private Equity Firms

60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE AI IN TELECOMMUNICATION MARKET STUDY

INTRODUCTION
1. Research Objectives
2. Market Definition
3. Research Scope
4. Regional Coverage
5. Research Timeline
6. Assumptions
7. Limitations
RESEARCH DESIGN & SCOPE
1. Introduction
2. Primary Research
  1. Key Industry Expert Insight
3. Secondary Research
  1. Vital Data from Secondary Sources
4. Market Size Estimation
5. Data Validation & Triangulation
EXECUTIVE SUMMARY
MARKET DYNAMICS
1. Introduction
2. Drivers
  1. Increasing Demand for Cloud Technologies
  2. Enhancement in Telecom Operation
  3. Increasing Growth for Digitization
3. Opportunities
  1. Increasing Deployment of 5G Technology
  2. Growing Demand for IoT Technology
4. Challenges
  1. High Cost Issues
  2. Lack of Expertise
INDUSTRY TRENDS – PORTERS FIVE FORCES ANALYSIS
1. Introduction
  1. Power of Buyers
  2. Power of Suppliers
  3. Intensity of Competition
  4. Challenges of Substitutes
  5. Challenges of New Entrants
2. Macro-Economic Indicators
GLOBAL AI IN TELECOMMUNICATION MARKET BY COMPONENT, Market Size in USD Million (2019-2027)
1. Introduction
2. Solution
3. Services
GLOBAL AI IN TELECOMMUNICATION MARKET BY DEPLOYMENT MODE, Market Size in USD Million (2019-2027)
1. Introduction
2. Cloud
3. On-premise
GLOBAL AI IN TELECOMMUNICATION MARKET BY APPLICATION, Market Size in USD Million (2019-2027)
1. Introduction
2. Customer Service
3. Network Optimization
4. Robotic Process Automation (RPA)
5. Fraud Detection
6. Virtual Assistants
7. Preventive Maintenance
8. Cybersecurity
GLOBAL AI IN TELECOMMUNICATION MARKET BY TECHNOLOGY, Market Size in USD Million (2019-2027)
1. Introduction
2. Machine learning and Deep Learning
3. Natural Language Processing (NLP)

GLOBAL AI IN TELECOMMUNICATION MARKET BY REGION, Market Size in USD Million (2019-2027)
1. North America
  1. US
  2. Canada
  3. Mexico
2. Europe
  1. Germany
  2. France
  3. Italy
  4. UK
  5. Russia
  6. Rest of Europe
3. Asia-Pacific
  1. China
  2. India
  3. Japan
  4. South Korea
  5. Rest of Asia-Pacific
4. Middle East and Africa
  1. Saudi Arabia
  2. UAE
  3. Rest of Middle East and Africa
5. South America
  1. Brazil
  2. Argentina
  3. Rest of South America
COMPETITIVE LANDSCAPE
1. Introduction
2. Market Ranking/Share Analysis of Key Companies
3. Company Benchmarking
COMPANY PROFILES
1. IBM Corporation
  1. Company Overview
  2. Financial Overview
  3. Products/Solutions/Services Offered
  4. Key Developments
  5. SWOT Analysis
2. Microsoft
3. Google
4. Intel Corporation
5. AT&T Intellectual Property
6. Cisco Systems, Inc.
7. Nuance Communications, Inc.
8. H2O.ai.
9. Salesforce.com, Inc.
10. NVIDIA Corporation
11. Other Key Companies
APPENDIX
1. Key Industry Expert Insights
2. Primary Discussion Guide
3. Customization Options

Note1: Tentative table of contents, may get updated during the course of research.

Note2: Company financial information is subject to availability in public domain

60+ MARKET TABLES AND 30+ FIGURES WILL BE INCLUDED IN THE STUDY

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