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AI in Telecommunication Market by Deployment mode, Technology, Use and Geography - Global Forecast 2026

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  • 222 Pages
  • February 2019
  • Region: Global
  • Reports and Data
  • ID: 5360582
Increasing adoption of AI (Artificial Intelligence) in the global telecommunication industry, and rising need to check security for the contents shared on telecommunication network are key factors driving market revenue growth.

Market Size - USD 1.36 Billion in 2020, Market Growth - CAGR of 18.6%, Market Trends - Rising adoption of virtual assistants, and chat-bots to address large number of customer support queries regarding installation, and assistance for troubleshooting issues.

The global AI in telecommunication market size is expected to reach USD 5.29 Billion in 2028, and register a CAGR of 18.6% during the forecast period. Rapidly growing global telecommunication industry, increasing use of AI for applications such as enhancing customers’ experience, improve network reliability, etc., and increasing adoption of AI-powered smartphones among consumers or users are some of the major factors expected to drive revenue growth of the global AI in telecommunication market.

AI enables telecom service providers to obtain and analyze customer data to utilize for offering personalized advertisements to the subscriber, attain network optimization, along with enhanced use of the network resources.

Some Key Findings From the Report:
  • Among the technology segments, the machine and deep learning segment accounted for the largest revenue share of 57.4% in 2020, due to increasing adoption of machine and deep learning by various industrial sectors such as automotive, healthcare, and manufacturing, among others.
  • Among the deployment mode segments, the cloud segment is expected to register a robust revenue growth rate during the forecast period. This is because cloud deployment uses less expensive algorithms to perform than the on premise deployment, and is flexible, easy to use, and affordable, which makes it ideal option for use in various organizations. In addition, installation as well as maintenance costs are affordable.
  • The Asia Pacific market size was USD 552.8 Million in 2020, due to increasing adoption of advanced technologies in rapidly growing telecomm industry.
  • Key players profiled in the report include AT&T (AT&T Mobility LLC), Microsoft Corporation, Cisco Systems, Inc., H2O.ai, Inc., Google LLC, Infosys Limited, Salesforce.com, Inc., and Nvidia Corporation, IBM (International Business Machines) Corporation, Intel Corporation (US). The market players have adopted various strategies including mergers, acquisitions, partnerships, and new product developments, among other strategies, to stay ahead of the competition and expand market footprint.

For the purpose of this report, the global AI in telecommunication market is segmented on the basis of technology, deployment mode, end use, and region:

Technology Outlook (Revenue, USD Billion; 2018 - 2028)
  • Machine & Deep Learning
  • Natural Language Processing

Deployment Mode Outlook (Revenue, USD Billion; 2018 - 2028)
  • Cloud
  • On Premise

End Use Outlook (Revenue, USD Billion; 2018 - 2028)
  • Customer analysis
  • Network optimization
  • Network security
  • Self-diagnosis
  • Virtual assistants

Region Outlook (Revenue, USD Billion; 2018 - 2028)
  • North America
  • US
  • Canada
  • Mexico
  • Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Benelux
  • Rest of Europe
  • Asia Pacific
  • China
  • India
  • Japan
  • South Korea
  • Rest of Asia Pacific
  • Latin America
  • Brazil
  • Rest of Latin America
  • Middle East and Africa
  • Saudi Arabia
  • UAE
  • South Africa
  • Rest of Middle East & Africa

Reasons to Buy the Report
  • A robust analysis and estimation of the AI in Telecommunication Market with four levels of quality check - in-house database, expert interviews, governmental regulation, and a forecast specifically done through time series analysis
  • A holistic competitive landscape of the all the major players in the AI in Telecommunication Market. The report covers their market shares, strategic initiatives, new product launches, R&D expenditure, M&As, Joint ventures, expansionary plans, product wise metric space analysis and key developments
  • Go-to-market strategies specifically formulated in line with location analysis which takes into the factors such as government regulations, supplier mapping, supply chain obstacles, and feedback from local vendors
  • Most deep dive segmental bifurcation available currently in the market. Our stellar methodology helps us understand the overall gamut of the supply chain and will help you explain the current market dynamics
  • Special focus given on vendor landscape, supplier portfolio, customer mapping, production capacity, and yearly capacity utilization

Table of Contents

Chapter 1. Market Synopsis
1.1. Market Definition
1.2. Research Scope & Premise
1.3. Methodology
1.4. Market Estimation Technique
Chapter 2. Executive Summary
2.1. Summary Snapshot, 2016 - 2026
Chapter 3. AI in Telecommunication market Segmentation & Impact Analysis
3.1. AI in Telecommunication Market Segmentation Analysis
3.2. AI in Telecommunication Market Value Chain Analysis, 2017-2026
3.3. AI in Telecommunication Market Impact Analysis
3.3.1. Market driver analysis Enhanced growth of AI in different telecommunication industries Need to check the security for the contents shared in several telecommunication industry
3.3.2. Market restraint analysis Issues faced with incompatibility Scarce Professionals
3.3.3. Market opportunities Enhancement of new technologies like Cloud based AI in telecommunication industry Future growth in the use of smartphones with built in AI.
3.3.4. Market Challenges Lack of inefficient professionals Issues associated with the identity and security of an individual
3.4. Industry analysis - Porter's Analysis
3.5. AI in Telecommunication Market Competitive scenario, 2018
Chapter 4. AI in Telecommunication Market by Technology (Insights & Trends)
4.1. AI in Telecommunication market by Technology, 2019 & 2026
4.2. Machine learning & deep learning
4.3. Natural learning process
Chapter 5. AI in telecommunication market By Use (Insights & Trends)
5.1. AI in telecommunication Market by Use, 2019 & 2026
5.2. Customer analysis
5.3. Network optimization
5.4. Network security
5.5. Self-diagnosis
5.6. Virtual assistants
Chapter 6. AI in telecommunication Market, by deployment mode (Insights & Trends)
6.1. AI in telecommunication Market by deployment mode 2019 & 2026
6.2. Cloud
6.3. On premise
Chapter 7. AI in telecommunication Market Regional Outlook
7.1. AI in telecommunication Market share by Region, 2019 & 2026
7.2. North America
7.2.1. US
7.2.2. Canada
7.2.3. Mexico
7.3. Europe
7.3.1. Germany
7.3.2. France
7.3.3. UK
7.3.4. Rest of Europe
7.4. APAC
7.4.1. China
7.4.2. Japan
7.4.3. India
7.4.4. Rest of APAC
7.5. RoW
7.5.1. Middle East
7.5.2. Africa
7.5.3. South America
Chapter 8. Competitive Landscape
8.1. Market Revenue Share by Manufacturers
8.2. Manufacturing Cost Breakdown Analysis
8.3. Mergers & Acquisitions
8.4. Market positioning
8.5. Strategy Benchmarking
8.6. Vendor Landscape
Chapter 9. Company Profiles
9.1. Google
9.1.1. Company Overview
9.1.2. Financial Performance Revenue Price Gross Margin
9.1.3. Type Benchmarking
9.1.4. Strategic Initiatives
9.2. IBM
9.2.1. Company Overview
9.2.2. Financial Performance Revenue Price Gross Margin
9.2.3. Type Benchmarking
9.2.4. Strategic Initiatives
9.3. Microsoft
9.3.1. Company Overview
9.3.2. Financial Performance Revenue Price Gross Margin
9.3.3. Type Benchmarking
9.3.4. Strategic Initiatives
9.4. Intel
9.4.1. Company Overview
9.4.2. Financial Performance Revenue Price Gross Margin
9.4.3. Type Benchmarking
9.4.4. Strategic Initiatives
9.5. CISCO
9.5.1. Company Overview
9.5.2. Financial Performance Revenue Price Gross Margin
9.5.3. Type Benchmarking
9.5.4. Strategic Initiatives
9.6. Infosys
9.6.1. Company Overview
9.6.2. Financial Performance Revenue Price Gross Margin
9.6.3. Type Benchmarking
9.6.4. Strategic Initiatives
9.7. AT&T
9.7.1. Company Overview
9.7.2. Financial Performance Revenue Price Gross Margin
9.7.3. Type Benchmarking
9.7.4. Strategic Initiatives
9.8. NVDIA
9.8.1. Company Overview
9.8.2. Financial Performance Revenue Price Gross Margin
9.8.3. Type Benchmarking
9.8.4. Strategic Initiatives
9.9. H2O.AI
9.9.1. Company Overview
9.9.2. Financial Performance Revenue Price Gross Margin
9.9.3. Type Benchmarking
9.9.4. Strategic Initiatives
9.10. Salseforce
9.10.1. Company Overview
9.10.2. Financial Performance Revenue Price Gross Margin
9.10.3. Type Benchmarking
9.10.4. Strategic Initiatives

Companies Mentioned

  • AT&T
  • Microsoft
  • Cisco Systems
  • H2O.ai
  • Google
  • Infosys
  • Salesforce
  • IBM
  • Intel