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Global AI in Telecommunication Market (2023-2028) Competitive Analysis, Impact of Covid-19, Ansoff Analysis

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    Report

  • 171 Pages
  • February 2024
  • Region: Global
  • Infogence Global Research
  • ID: 5317276
The Global AI in Telecommunication Market is estimated to be USD 2.29 Bn in 2023 and is expected to reach USD 11.46 Bn by 2028 growing at a CAGR of 38.06%.

  • Key factors such as the advent of 5G technologies in mobile networks, growing demand for effective and efficient network management solutions have been driving the overall AI in the Telecommunication market growth. Increasing AI-embedded smartphones and the growing adoption of AI solutions in various telecom applications are likely to further drive market growth. Telecom vendors commonly use AI for customer service applications, such as chatbots and virtual assistants, to address many support requests for installation, maintenance, and troubleshooting. To improve customer experience, telecom operators are adopting AI.
  • Conversely, incompatibility between telecommunication systems and AI technology, which leads to integration complexity in these solutions, is the major restraint for the market growth. Also, the lack of skilled expertise and privacy & identity concerns of individuals are some other factors hindering the market growth.

Market Dynamics

Drivers

  • Increasing Adoption of AI for Various Applications in the Telecommunication Industry
  • AI Can Be the Key to Self-Driving Telecommunication Networks
  • Increased Need for Monitoring the Content Spread on Telecommunication Networks
  • Growing Demand for Effective and Efficient Network Management Solutions

Restraints

  • Incompatibility Concerns

Opportunities

  • Cloud-Based AI Offerings in the Telecommunication Industry
  • Utilization of AI-Enabled Smartphones

Challenges

  • Privacy and Identity Concerns of Individuals
  • Lack of expertise

Segments Covered

  • By Component, Services are expected to hold the highest market share during the forecast period. Growing awareness among telecom operators regarding the feature and advantages of the AI technology in the telecommunication industry, increasing adoption of AI for various applications, such as customer analytics, network security, and optimization, etc., in the telecommunication industry, and increasing use of AI-enabled smartphones among consumers are driving the services segment of the global AI in telecommunication market.
  • By Technology, Machine Learning and Deep Learning technology hold the highest CAGR during the forecast period. Machine learning and deep learning is a technology that involves human-computer interactions and provides close predictions based on the past data. This technology is of significant use in the telecommunication industry for tasks such as automating telecommunication operations.
  • By Application, the Customer Analytics Application holds the maximum market share. Increasing use of customer analytics applications to understand and analyze the customer data generated through telecommunication systems helps in planning strategies such as sales and marketing campaigns. Hence, telecommunication vendors are increasingly using customer analytics to maintain their position in the marketplace.
  • By Deployment Mode, Cloud Deployments are expected to hold the maximum market share. The cloud deployment model offers multiple advantages, such as low operational and maintenance costs, fewer complexities, flexibility, and scalability. The telecommunication solution providers are focusing on the development of robust cloud-based solutions as this type of deployment is user-friendly and easy to access.
  • By Geography, North America is projected to lead the market. The factors attributed to the market's growth are the increased investments in this region, initiatives taken for the growth of AI in the telecommunication sector. In the North American region, AI in telecommunication is already in use for various applications, such as network optimization, network security, customer diagnostics, and virtual assistance.
  • The Global AI in Telecommunication Market is segmented further based on Component, Technology, Application, Deployment Mode, and Geography.

Company Profiles

Some of the companies covered in this report are Cisco, IBM, Microsoft, Google, AT&T, H2O.ai, Infosys, Intel, Salesforce, Nvidia, etc.

Competitive Quadrant

The report includes Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score. The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.

Why buy this report?

  • The report offers a comprehensive evaluation of the Global AI in Telecommunication Market. The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
  • The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
  • The report includes in-depth market analysis using Porter’s 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
  • The report also contains the competitive analysis using Competitive Quadrant, the proprietary competitive positioning tool.

Report Highlights:

  • A complete analysis of the market including parent industry
  • Important market dynamics and trends
  • Market segmentation
  • Historical, current, and projected size of the market based on value and volume
  • Market shares and strategies of key players
  • Recommendations to companies for strengthening their foothold in the market

Table of Contents

1 Report Description
1.1 Study Objectives
1.2 Market Definition
1.3 Currency
1.4 Years Considered
1.5 Language
1.6 Key Shareholders
2 Research Methodology
2.1 Research Process
2.2 Data Collection and Validation
2.2.1 Secondary Research
2.2.2 Primary Research
2.3 Market Size Estimation
2.4 Assumptions of the Study
2.5 Limitations of the Study
3 Executive Summary
4 Market Overview
4.1 Introduction
4.2 Market Dynamics
4.2.1 Drivers
4.2.2 Restraints
4.2.3 Opportunities
4.2.4 Challenges
4.3 Trends
5 Market Analysis
5.1 Porter’s Five Forces Analysis
5.2 Impact of COVID-19
5.3 Ansoff Matrix Analysis
6 Global AI in Telecommunication Market, By Component
6.1 Introduction
6.2 Solutions
6.2.1 Software Tools
6.2.2 Platforms
6.3 Services
6.3.1 Professional Services
6.3.2 Managed Services
7 Global AI in Telecommunication Market, By Technology
7.1 Introduction
7.2 Machine Learning and Deep Learning
7.3 Natural Language Processing
8 Global AI in Telecommunication Market, By Application
8.1 Introduction
8.2 Customer Analytics
8.3 Network Security
8.4 Network Optimization
8.5 Self-Diagnostics
8.6 Virtual Assistance
8.7 Others
9 Global AI in Telecommunication Market, By Deployment Mode
9.1 Introduction
9.2 Cloud
9.3 On-Premises
10 Global AI in Telecommunication Market, By Geography
10.1 Introduction
10.2 North America
10.2.1 US
10.2.2 Canada
10.2.3 Mexico
10.3 South America
10.3.1 Brazil
10.3.2 Argentina
10.4 Europe
10.4.1 UK
10.4.2 France
10.4.3 Germany
10.4.4 Italy
10.4.5 Spain
10.4.6 Rest of Europe
10.5 Asia-Pacific
10.5.1 China
10.5.2 Japan
10.5.3 India
10.5.4 Indonesia
10.5.5 Malaysia
10.5.6 South Korea
10.5.7 Australia
10.5.8 Russia
10.5.9 Rest of APAC
10.6 Rest of the World
10.6.1 Qatar
10.6.2 Saudi Arabia
10.6.3 South Africa
10.6.4 United Arab Emirates
10.6.5 Latin America
11 Competitive Landscape
11.1 Competitive Quadrant
11.2 Market Share Analysis
11.3 Competitive Scenario
11.3.1 Mergers & Acquisitions
11.3.2 Agreements, Collaborations, & Partnerships
11.3.3 New Product Launches & Enhancements
11.3.4 Investments & funding
12 Company Profiles
12.1 IBM
12.2 Microsoft
12.3 Intel
12.4 Google
12.5 AT&T
12.6 Cisco Systems
12.7 Nuance Communications
12.8 Sentient Technologies
12.9 H2O.ai
12.10 Infosys
12.11 Salesforce
12.12 Nvidia
12.13 Atomwise
12.14 Sense.ly Inc.
13 Appendix
13.1 Questionnaire

Companies Mentioned

  • IBM
  • Microsoft
  • Intel
  • Google
  • AT&T
  • Cisco Systems
  • Nuance Communications
  • Sentient Technologies
  • H2O.ai
  • Infosys
  • Salesforce
  • Nvidia
  • Atomwise
  • Sense.ly Inc.

Table Information