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

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


The Artificial Intelligence in Telecommunication Market size was estimated at USD 1.23 billion in 2023 and expected to reach USD 1.62 billion in 2024, at a CAGR 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?


    Note: PDF & Excel + Online Access - 1 Year

  • 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
    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

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