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AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode & Region - Global Forecast to 2022

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    Report

  • 136 Pages
  • February 2018
  • Region: Global
  • Markets and Markets
  • ID: 4461230
Description Jump to:

The AI in telecommunication market is projected to grow at a CAGR of 46.8% during the forecast period

The increasing adoption of AI for various applications in the telecommunication industry and the utilization of AI-enabled smartphones are expected to be driving the growth of the AI in telecommunication market. Incompatibility concerns between the AI technology and telecommunication systems, which may generate integration complexities in AI in telecommunication solutions, are expected to act as restraints for the growth of the market.

Cloud deployment mode is expected to have a larger market share during the forecast period

In the AI in telecommunication market, the cloud deployment mode offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. The AI in telecommunication solution providers are focusing on the development of robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment mode. Additionally, the cloud deployment mode is user-friendly and easy to access.

Machine learning and deep learning technology is expected to have a larger market size during the forecast period

The AI in telecommunication market technology segment is subsegmented into machine learning and deep learning, and Natural Language Processing (NLP). Among these, the machine learning and deep learning segment is expected to have a larger market size during the forecast period.

Machine learning and deep learning offers the most robust methodology to tap into the area of context that involves human-computer interactions, and provides close predictions based on the past data. This technology is
useful in the telecommunication industry for automating telecommunication operations.

North America is expected to have the largest market size in the AI in telecommunication market during the forecast period

Among regions, North America is expected to have the largest market size in the AI in telecommunication market during the forecast period. The North American region has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. A considerable growth is expected in the region during the forecast period. The major initiatives taken for the growth of the AI in telecommunication technology have their origin in this region. In this region, the enterprises and governments have positively adopted the AI in telecommunication technology to improve telecommunication solutions and services for better customer experience.

In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in the AI in telecommunication market.

  • By Company Type: Tier I: 22%, Tier II: 40%, and Tier III: 38%
  • By Designation: C-Level: 32%, Director Level: 26%, and Others: 42%
  • By Region: North America: 36%, EMEA: 32%, and APAC: 32%

The report includes the study of the key players offering AI in telecommunication solutions, hardware, and services. IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US) are a few companies that have been profiled in the report. The report includes an in-depth competitive analysis of these key AI in telecommunication market players, along with their company profiles, which include business overviews, product offerings, recent developments, and market strategies.

Research Coverage

The AI in telecommunication market has been segmented on the basis of technologies, applications, components (solutions and services), deployment modes, and regions. The technology segment of AI in telecommunication includes machine learning and deep learning, and NLP. The application segment includes network optimization, network security, self-diagnostics, customer analytics, virtual assistance, and others. The other applications include contact center analytics and marketing campaign analytics. The component segment is subsegmented as solutions and services. The solutions segment includes software tools and platforms, while the services segment includes professional services and managed services. On the basis of deployment modes, the AI in telecommunication market has been divided into cloud and on-premises deployments. Finally, on the basis of regions, the AI in telecommunication market has been segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.

The report will help the market leaders and new entrants in the AI in telecommunication market in the following ways:

1. The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across various verticals and regions.

2. The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.

3. The report helps in understanding the competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.

Table of Contents

1 Introduction
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.4 Years Considered for the Study
1.5 Currency
1.6 Stakeholders
2 Research Methodology
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakdown of Primaries
2.1.2.2 Key Industry Insights
2.2 Market Size Estimation
2.3 Research Assumptions
2.4 Limitations
3 Executive Summary
4 Premium Insights
4.1 Attractive Opportunities in the AI in Telecommunication Market
4.2 Market Top 3 Applications
4.3 Market Top 3 Applications and Regions
4.4 Market Potential, By Region
4.5 Life Cycle Analysis, By Region
5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Increasing Adoption of AI for Various Applications in the Telecommunication Industry
5.2.1.2 AI Can Be the Key to Self-Driving Telecommunication Networks
5.2.1.3 Increased Need for Monitoring the Content Spread on Telecommunication Networks
5.2.2 Restraints
5.2.2.1 Incompatibility Concerns
5.2.3 Opportunities
5.2.3.1 Cloud-Based AI Offerings in the Telecommunication Industry
5.2.3.2 Utilization of AI-Enabled Smartphones
5.2.4 Challenges
5.2.4.1 Concerns Over the Privacy and Identity of Individuals
5.2.4.2 Insufficient Skills
5.3 Industry Trends
5.3.1 Introduction
5.3.2 AI in Telecommunication Market: Use Cases
5.3.2.1 Use Case: Scenario 1
5.3.2.2 Use Case: Scenario 2
5.3.2.3 Use Case: Scenario 3
5.4 Regulatory Implications
5.4.1 Introduction
5.4.2 General Data Protection Regulation (GDPR)
5.4.3 European Telecommunications Standards Institute (ETSI)
5.4.4 Russian Ministry of Telecommunication
5.4.5 Telecom Regulatory Authority of India (TRAI)
5.4.6 Wireless Application Service Providers’ Association (WASPA)
5.4.7 Youth Media Protection Treaty
5.4.8 Office of the Telecommunications Authority (OFTA)
6 AI in Telecommunication Market, By Technology
6.1 Introduction
6.2 Machine Learning and Deep Learning
6.3 Natural Language Processing
7 Market By Application
7.1 Introduction
7.2 Customer Analytics
7.3 Network Security
7.4 Network Optimization
7.5 Self-Diagnostics
7.6 Virtual Assistance
7.7 Others
8 AI in Telecommunication Market, By Component
8.1 Introduction
8.2 Solutions
8.2.1 Software Tools
8.2.2 Platforms
8.3 Services
8.3.1 Professional Services
8.3.2 Managed Services
9 Market By Deployment Mode
9.1 Introduction
9.2 Cloud
9.3 On-Premises
10 AI in Telecommunication Market, By Region
10.1 Introduction
10.2 North America
10.2.1 United States
10.2.2 Canada
10.3 Europe
10.3.1 United Kingdom
10.3.2 Germany
10.3.3 Switzerland
10.3.4 Rest of Europe
10.4 Asia Pacific
10.4.1 China
10.4.2 Japan
10.4.3 Rest of APAC
10.5 Latin America
10.5.1 Brazil
10.5.2 Rest of Latin America
10.6 Middle East and Africa
10.6.1 Middle East
10.6.2 Africa
11 Competitive Landscape
11.1 Overview
11.2 Top Players Operating in the AI in Telecommunication Market
11.3 Competitive Situation and Trends
11.3.1 New Product Launches
11.3.2 Agreements, Partnerships, and Collaborations
11.3.3 Acquisitions
11.3.4 Business Expansions
12 Company Profiles
12.1 Introduction
12.2 IBM
(Business Overview, Services Offered, Recent Developments, SWOT Analysis, and MnM View)*
12.3 Microsoft
12.4 Intel
12.5 Google
12.6 AT&T
12.7 Cisco Systems
12.8 Nuance Communications
12.9 Sentient Technologies
12.10 H2O.ai
12.11 Infosys
12.12 Salesforce
12.13 Nvidia
*Details on Business Overview, Services Offered, Recent Developments, SWOT Analysis, and MnM View Might Not Be Captured in Case of Unlisted Companies.
13 Appendix
13.1 Industry Excerpts
13.2 Discussion Guide
13.3 Knowledge Store: Subscription Portal
13.4 Available Customizations
13.5 Related Reports
13.6 Author Details
List of Tables
Table 1 United States Dollar Exchange Rate, 2014-2017
Table 2 Global AI in Telecommunication Market Size and Growth Rate, 2015-2022 (USD Million and Y-O-Y %)
Table 3 Market Size By Technology, 2015-2022 (USD Million)
Table 4 Machine Learning and Deep Learning: Market Size By Region, 2015-2022 (USD Million)
Table 5 Natural Language Processing: Market Size By Region, 2015-2022 (USD Million)
Table 6 AI in Telecommunication Market Size, By Application, 2015-2022 (USD Million)
Table 7 Customer Analytics: Market Size By Region, 2015-2022 (USD Million)
Table 8 Network Security: Market Size By Region, 2015-2022 (USD Million)
Table 9 Network Optimization: Market Size By Region, 2015-2022 (USD Million)
Table 10 Self-Diagnostics: Market Size, By Region, 2015-2022 (USD Million)
Table 11 Virtual Assistance: Market Size, By Region, 2015-2022 (USD Million)
Table 12 Others: Market Size By Region, 2015-2022 (USD Million)
Table 13 AI in Telecommunication Market Size, By Component, 2015-2022 (USD Million)
Table 14 Solutions: Market Size By Type, 2015-2022 (USD Million)
Table 15 Software Tools Market Size, By Region, 2015-2022 (USD Million)
Table 16 Platforms Market Size, By Region, 2015-2022 (USD Million)
Table 17 Services: Market Size By Type, 2015-2022 (USD Million)
Table 18 Professional Services Market Size, By Region, 2015-2022 (USD Million)
Table 19 Managed Services Market Size, By Region, 2015-2022 (USD Million)
Table 20 AI in Telecommunication Market Size, By Deployment Mode, 2015-2022 (USD Million)
Table 21 Cloud: Market Size By Region, 2015-2022 (USD Million)
Table 22 On-Premises: Market Size By Region, 2015-2022 (USD Million)
Table 23 AI in Telecommunication Market Size, By Region, 2015-2022 (USD Million)
Table 24 Internet Users in North America, 2017-2022 (Million)
Table 25 Mobile Connections in North America, 2017-2022 (Million)
Table 26 Smartphone Users in North America, 2017-2022 (Million)
Table 27 North America: AI in Telecommunication Market Size, By Country, 2015-2022 (USD Million)
Table 28 North America: Market Size By Technology, 2015-2022 (USD Million)
Table 29 North America: Market Size By Application, 2015-2022 (USD Million)
Table 30 North America: Market Size By Component, 2015-2022 (USD Million)
Table 31 North America: Market Size By Solution, 2015-2022 (USD Million)
Table 32 North America: Market Size By Service, 2015-2022 (USD Million)
Table 33 North America: Market Size By Deployment Mode, 2015-2022 (USD Million)
Table 34 Internet Users in Europe, 2017-2022 (Million)
Table 35 Mobile Connections in Europe, 2017-2022 (Million)
Table 36 Smartphone Users in Europe, 2017-2022 (Million)
Table 37 Europe: AI in Telecommunication Market Size, By Country, 2015-2022 (USD Million)
Table 38 Europe: Market Size By Technology, 2015-2022 (USD Million)
Table 39 Europe: Market Size By Application, 2015-2022 (USD Million)
Table 40 Europe: Market Size By Component, 2015-2022 (USD Million)
Table 41 Europe: Market Size By Solution, 2015-2022 (USD Million)
Table 42 Europe: Market Size By Service, 2015-2022 (USD Million)
Table 43 Europe: Market Size By Deployment Mode, 2015-2022 (USD Million)
Table 44 Internet Users in Asia Pacific, 2017-2022 (Million)
Table 45 Mobile Connections in Asia Pacific, 2017-2022 (Million)
Table 46 Smartphone Users in Asia Pacific, 2017-2022 (Million)
Table 47 Asia Pacific: AI in Telecommunication Market Size, By Country, 2015-2022 (USD Million)
Table 48 Asia Pacific: Market Size By Technology, 2015-2022 (USD Million)
Table 49 Asia Pacific: Market Size By Application, 2015-2022 (USD Million)
Table 50 Asia Pacific: Market Size By Component, 2015-2022 (USD Million)
Table 51 Asia Pacific: Market Size By Solution, 2015-2022 (USD Million)
Table 52 Asia Pacific: Market Size By Service, 2015-2022 (USD Million)
Table 53 Asia Pacific: Market Size By Deployment Mode, 2015-2022 (USD Million)
Table 54 Internet Users in Latin America, 2017-2022 (Million)
Table 55 Mobile Connections in Latin America, 2017-2022 (Million)
Table 56 Smartphone Users in Latin America, 2017-2022 (Million)
Table 57 Latin America: AI in Telecommunication Market Size, By Country, 2015-2022 (USD Million)
Table 58 Latin America: Market Size By Technology, 2015-2022 (USD Million)
Table 59 Latin America: Market Size By Application, 2015-2022 (USD Million)
Table 60 Latin America: Market Size By Component, 2015-2022 (USD Million)
Table 61 Latin America: Market Size By Solution, 2015-2022 (USD Million)
Table 62 Latin America: Market Size By Service, 2015-2022 (USD Million)
Table 63 Latin America: Market Size By Deployment Mode, 2015-2022 (USD Million)
Table 64 Internet Users in Middle East and Africa, 2017-2022 (Million)
Table 65 Smartphone Users in Middle East and Africa, 2017-2022 (Million)
Table 66 Middle East and Africa: AI in Telecommunication Market Size, By Subregion, 2015-2022 (USD Million)
Table 67 Middle East and Africa: Market Size By Technology, 2015-2022 (USD Million)
Table 68 Middle East and Africa: Market Size By Application, 2015-2022 (USD Million)
Table 69 Middle East and Africa: Market Size By Component, 2015-2022 (USD Million)
Table 70 Middle East and Africa: Market Size By Solution, 2015-2022 (USD Million)
Table 71 Middle East and Africa: Market Size By Service, 2015-2022 (USD Million)
Table 72 Middle East and Africa: Market Size By Deployment Mode, 2015-2022 (USD Million)
Table 73 Market Ranking for the Market 2017
Table 74 New Product Launches, 2015-2017
Table 75 Agreements, Partnerships, and Collaborations, 2015-2017
Table 76 Acquisitions, 2015-2017
Table 77 Business Expansions, 2015
List of Figures
Figure 1 AI in Telecommunication Market Segmentation
Figure 2 Regional Scope
Figure 3 Market Research Design
Figure 4 Data Triangulation
Figure 5 Market Size Estimation Methodology: Bottom-Up Approach
Figure 6 Market Size Estimation Methodology: Top-Down Approach
Figure 7 North America is Estimated to Have the Largest Market Share in 2017
Figure 8 Market Snapshot By Technology, 2017
Figure 9 Market Snapshot By Application, 2017
Figure 10 Market Snapshot By Component, 2017
Figure 11 Market Snapshot By Solution, 2017
Figure 12 Market Snapshot By Service, 2017
Figure 13 Market Snapshot By Deployment Mode, 2017
Figure 14 The Global AI in Telecommunication Market is Expected to Witness Significant Growth During the Forecast Period
Figure 15 Virtual Assistance Application is Expected to Grow at the Highest CAGR During the Forecast Period
Figure 16 Customer Analytics Application and North America are Estimated to Have the Largest Market Shares in the AI in Telecommunication Market in 2017
Figure 17 Asia Pacific is Expected to Register the Highest CAGR During the Forecast Period
Figure 18 Asia Pacific is Expected to Have the Fastest Growth Rate During the Forecast Period
Figure 19 AI in Telecommunication Market: Drivers, Restraints, Opportunities, and Challenges
Figure 20 Global Number of Smartphone Users
Figure 21 Natural Language Processing Technology is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 22 Virtual Assistance Application is Expected to Witness the Highest CAGR During the Forecast Period
Figure 23 Services Component is Expected to Exhibit A Higher CAGR During the Forecast Period
Figure 24 Platforms Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 25 Professional Services Segment is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 26 Cloud Deployment Mode is Expected to Grow at A Higher CAGR During the Forecast Period
Figure 27 North America is Estimated to Have the Largest Market Size in 2017
Figure 28 Asia Pacific is Expected to Register the Highest CAGR During the Forecast Period
Figure 29 North America: Market Snapshot
Figure 30 North America: Market By Application
Figure 31 Europe: Market By Application
Figure 32 Asia Pacific: Market Snapshot
Figure 33 Asia Pacific: Market By Application
Figure 34 Latin America: Market By Application
Figure 35 Middle East and Africa: Market By Application
Figure 36 Key Developments By the Leading Players in the AI in Telecommunication Market During 2014-2017
Figure 37 Market Evaluation Framework
Figure 38 Geographic Revenue Mix of the Top 5 Market Players
Figure 39 IBM: Company Snapshot
Figure 40 IBM: SWOT Analysis
Figure 41 Microsoft: Company Snapshot
Figure 42 Microsoft: SWOT Analysis
Figure 43 Intel: Company Snapshot
Figure 44 Intel: SWOT Analysis
Figure 45 Google: Company Snapshot
Figure 46 Google: SWOT Analysis
Figure 47 AT&T: Company Snapshot
Figure 48 AT&T: SWOT Analysis
Figure 49 Cisco Systems: Company Snapshot
Figure 50 Cisco Systems: SWOT Analysis
Figure 51 Nuance Communications: Company Snapshot
Figure 52 Infosys: Company Snapshot
Figure 53 Salesforce: Company Snapshot
Figure 54 Nvidia: Company Snapshot

Samples

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Executive Summary

Companies Mentioned

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

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