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Global Artificial Intelligence in Telecommunication Market by Component (Service, Solution), Technology (Machine Learning & Deep Learning, Natural Language Processing), Deployment, Application - Forecast 2024-2030

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    Report

  • 183 Pages
  • March 2024
  • Region: Global
  • 360iResearch™
  • ID: 4995169
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The Artificial Intelligence in Telecommunication Market size was estimated at USD 1.23 billion in 2023, USD 1.62 billion in 2024, and is expected to grow at a CAGR of 31.09% to reach USD 8.23 billion by 2030.

FPNV Positioning Matrix

The FPNV Positioning Matrix is pivotal in evaluating the Artificial Intelligence in Telecommunication Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).

Market Share Analysis

The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Artificial Intelligence in Telecommunication Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Telecommunication Market, highlighting leading vendors and their innovative profiles. These include AT&T Inc., Cisco Systems, Inc., Deutsche Telekom AG, Google LLC by Alphabet Inc., H2O.ai, Inc., Infosys Limited, Intel Corporation, International Business Machines Corporation, Microsoft Corporation, Mindtitan OÜ, Nvidia Corporation, Q3 Technologies, Inc., Salesforce, Inc., Telefonaktiebolaget LM Ericsson, and Telefónica S.A.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Telecommunication Market to forecast the revenues and analyze trends in each of the following sub-markets:

  • Component
    • Service
      • Managed Service
      • Professional Service
    • Solution
      • Platform
      • Software Tool
  • Technology
    • Machine Learning & Deep Learning
    • Natural Language Processing
  • Deployment
    • On-Cloud
    • On-Premise
  • Application
    • Customer Analytics
    • Network Optimization
    • Network Security
    • Self-Diagnostics
    • Virtual Assistance
  • Region
    • Americas
      • Argentina
      • Brazil
      • Canada
      • Mexico
      • United States
        • California
        • Florida
        • Illinois
        • New York
        • Ohio
        • Pennsylvania
        • Texas
    • Asia-Pacific
      • Australia
      • China
      • India
      • Indonesia
      • Japan
      • Malaysia
      • Philippines
      • Singapore
      • South Korea
      • Taiwan
      • Thailand
      • Vietnam
    • Europe, Middle East & Africa
      • Denmark
      • Egypt
      • Finland
      • France
      • Germany
      • Israel
      • Italy
      • Netherlands
      • Nigeria
      • Norway
      • Poland
      • Qatar
      • Russia
      • Saudi Arabia
      • South Africa
      • Spain
      • Sweden
      • Switzerland
      • Turkey
      • United Arab Emirates
      • United Kingdom

The report offers valuable insights on the following aspects

  1. Market Penetration: It presents comprehensive information on the market provided by key players.
  2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
  3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
  4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
  5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.

The report addresses key questions such as

  1. What is the market size and forecast of the Artificial Intelligence in Telecommunication Market?
  2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Artificial Intelligence in Telecommunication Market?
  3. What are the technology trends and regulatory frameworks in the Artificial Intelligence in Telecommunication Market?
  4. What is the market share of the leading vendors in the Artificial Intelligence in Telecommunication Market?
  5. Which modes and strategic moves are suitable for entering the Artificial Intelligence in Telecommunication Market?

 

Additional Product Information:

  • Purchase of this report includes 1 year online access with quarterly updates
  • This report can be updated on request. Please contact our Customer Experience team using the Ask a Question widget on our website

Please note: For this report, the purchase of an Enterprise license allows up to ten worldwide users of an organization access to the report

Purchase of this report includes 1 year online access with quarterly updates

Purchase of this report includes 1 year online access with quarterly updates

Table of Contents

1. Preface
1.1. Objectives of the Study
1.2. Market Segmentation & Coverage
1.3. Years Considered for the Study
1.4. Currency & Pricing
1.5. Language
1.6. Limitations
1.7. Assumptions
1.8. Stakeholders
2. Research Methodology
2.1. Define: Research Objective
2.2. Determine: Research Design
2.3. Prepare: Research Instrument
2.4. Collect: Data Source
2.5. Analyze: Data Interpretation
2.6. Formulate: Data Verification
2.7. Publish: Research Report
2.8. Repeat: Report Update
3. Executive Summary
4. Market Overview
4.1. Introduction
4.2. Artificial Intelligence in Telecommunication Market, by Region
5. Market Insights
5.1. Market Dynamics
5.1.1. Drivers
5.1.1.1. Application of AI for network optimization by telecommunication companies
5.1.1.2. Increasing need for network automation
5.1.1.3. Growing demand for virtual assistants for customer support
5.1.2. Restraints
5.1.2.1. Issues pertinent to incompatibility
5.1.3. Opportunities
5.1.3.1. Increasing expenditure for research and development to develop advanced AI in telecommunication softwares
5.1.3.2. Implementation of robotic process automation (RPA) in telecommunication sector
5.1.4. Challenges
5.1.4.1. Shortage of skilled professional and issues related to privacy
5.2. Market Segmentation Analysis
5.3. Market Trend Analysis
5.4. Cumulative Impact of High Inflation
5.5. Porter’s Five Forces Analysis
5.5.1. Threat of New Entrants
5.5.2. Threat of Substitutes
5.5.3. Bargaining Power of Customers
5.5.4. Bargaining Power of Suppliers
5.5.5. Industry Rivalry
5.6. Value Chain & Critical Path Analysis
5.7. Regulatory Framework
6. Artificial Intelligence in Telecommunication Market, by Component
6.1. Introduction
6.2. Service
6.3.1. Managed Service
6.3.2. Professional Service
6.3. Solution
6.4.1. Platform
6.4.2. Software Tool
7. Artificial Intelligence in Telecommunication Market, by Technology
7.1. Introduction
7.2. Machine Learning & Deep Learning
7.3. Natural Language Processing
8. Artificial Intelligence in Telecommunication Market, by Deployment
8.1. Introduction
8.2. On-Cloud
8.3. On-Premise
9. Artificial Intelligence in Telecommunication Market, by Application
9.1. Introduction
9.2. Customer Analytics
9.3. Network Optimization
9.4. Network Security
9.5. Self-Diagnostics
9.6. Virtual Assistance
10. Americas Artificial Intelligence in Telecommunication Market
10.1. Introduction
10.2. Argentina
10.3. Brazil
10.4. Canada
10.5. Mexico
10.6. United States
11. Asia-Pacific Artificial Intelligence in Telecommunication Market
11.1. Introduction
11.2. Australia
11.3. China
11.4. India
11.5. Indonesia
11.6. Japan
11.7. Malaysia
11.8. Philippines
11.9. Singapore
11.10. South Korea
11.11. Taiwan
11.12. Thailand
11.13. Vietnam
12. Europe, Middle East & Africa Artificial Intelligence in Telecommunication Market
12.1. Introduction
12.2. Denmark
12.3. Egypt
12.4. Finland
12.5. France
12.6. Germany
12.7. Israel
12.8. Italy
12.9. Netherlands
12.10. Nigeria
12.11. Norway
12.12. Poland
12.13. Qatar
12.14. Russia
12.15. Saudi Arabia
12.16. South Africa
12.17. Spain
12.18. Sweden
12.19. Switzerland
12.20. Turkey
12.21. United Arab Emirates
12.22. United Kingdom
13. Competitive Landscape
13.1. FPNV Positioning Matrix
13.2. Market Share Analysis, By Key Player
13.3. Competitive Scenario Analysis, By Key Player
14. Competitive Portfolio
14.1. Key Company Profiles
14.1.1. AT&T Inc.
14.1.2. Cisco Systems, Inc.
14.1.3. Deutsche Telekom AG
14.1.4. Google LLC by Alphabet Inc.
14.1.5. H2O.ai, Inc.
14.1.6. Infosys Limited
14.1.7. Intel Corporation
14.1.8. International Business Machines Corporation
14.1.9. Microsoft Corporation
14.1.10. Mindtitan OÜ
14.1.11. Nvidia Corporation
14.1.12. Q3 Technologies, Inc.
14.1.13. Salesforce, Inc.
14.1.14. Telefonaktiebolaget LM Ericsson
14.1.15. Telefónica S.A.
14.2. Key Product Portfolio
15. Appendix
15.1. Discussion Guide
15.2. License & Pricing
List of Figures
FIGURE 1. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET RESEARCH PROCESS
FIGURE 2. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, 2023 VS 2030
FIGURE 3. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, 2018-2030 (USD MILLION)
FIGURE 4. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY REGION, 2023 VS 2030 (%)
FIGURE 5. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY REGION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 6. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET DYNAMICS
FIGURE 7. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COMPONENT, 2023 VS 2030 (%)
FIGURE 8. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COMPONENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 9. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2030 (%)
FIGURE 10. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY TECHNOLOGY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 11. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2030 (%)
FIGURE 12. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY DEPLOYMENT, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 13. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY APPLICATION, 2023 VS 2030 (%)
FIGURE 14. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY APPLICATION, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 15. AMERICAS ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 16. AMERICAS ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 17. UNITED STATES ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY STATE, 2023 VS 2030 (%)
FIGURE 18. UNITED STATES ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY STATE, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 19. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 20. ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 21. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2030 (%)
FIGURE 22. EUROPE, MIDDLE EAST & AFRICA ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SIZE, BY COUNTRY, 2023 VS 2024 VS 2030 (USD MILLION)
FIGURE 23. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET, FPNV POSITIONING MATRIX, 2023
FIGURE 24. ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION MARKET SHARE, BY KEY PLAYER, 2023

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • AT&T Inc.
  • Cisco Systems, Inc.
  • Deutsche Telekom AG
  • Google LLC by Alphabet Inc.
  • H2O.ai, Inc.
  • Infosys Limited
  • Intel Corporation
  • International Business Machines Corporation
  • Microsoft Corporation
  • Mindtitan OÜ
  • Nvidia Corporation
  • Q3 Technologies, Inc.
  • Salesforce, Inc.
  • Telefonaktiebolaget LM Ericsson
  • Telefónica S.A.

Methodology

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Table Information