CHAPTER 1. INTRODUCTION
1.1. Market Definition
1.2. Executive Summary
1.3. The Scope of the Study
CHAPTER 2. RESEARCH METHODOLOGY
2.1. Secondary Research
2.2. Primary Research
2.3. Analytic Tools and Model
2.4. Economic Indicator
2.4.1 Base Year, Base Currency, Forecasting Period
2.5. Expert Validation
2.6. Study Timeline
CHAPTER 3. MARKET ANALYSIS
3.1. Industry Value Chain Analysis
3.2. Porter's Five Force Analysis
3.2.1. Bargaining Power of Buyers
3.2.2. Bargaining Power of Suppliers
3.2.3. Threats of Substitutes
3.2.4. Threats of New Entrants
3.2.5. Degree of Competition
3.3. PESTLE Analysis
3.3.1. Political
3.3.2. Economical
3.3.3. Social
3.3.4. Technological
3.3.5. Legal
3.3.6. Environmental
3.4. SWOT Analysis
3.4.1. Strengths
3.4.2. Weakness
3.4.3. Opportunities
3.4.4. Threats
3.5. Y-O-Y Analysis
CHAPTER 4. MARKET DYNAMICS
4.1. Market Drivers
4.1.1. Growing adoption of artificial intelligence for various application in the
telecommunication industry
4.1.2. Artificial Intelligence leads to self-driving telecommunication networks
4.1.3. Increased need for monitoring the content spread on the telecommunication
networks
4.2. Market Restraints
4.2.1. Incompatibility Concerns
4.3. Market Opportunities
4.3.1. Cloud-based artificial intelligence offerings in the telecommunication industry
4.3.2. Utilization of artificial enabled smartphones
4.4. Market Challenges
4.4.1. Concerns over the privacy and identity of the individual
4.4.2. Lack of proper skillset
CHAPTER 5. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION
MARKET – BY TECHNOLOGY
5.1. Introduction
5.2. Machine Learning and deep learning
5.3. Natural Language Processing
CHAPTER 6. GLOBAL ARTIFICIAL INTELLIGENCE 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
CHAPTER 7. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION
MARKET – BY DEPLOYMENT MODE
7.1. Introduction
7.2. Cloud
7.3. On-Premises
CHAPTER 8. GLOBAL ARTIFICIAL INTELLIGENCE 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
CHAPTER 9. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION
MARKET - BY GEOGRAPHY
9.1. Introduction
9.2. North America
9.2.1. U.S.
9.2.2. Canada
9.2.3. Mexico
9.2.4. Costa Rica
9.3. South America
9.3.1. Brazil
9.3.2. Argentina
9.3.3. Chile
9.3.4. Columbia
9.3.5. Others
9.4. Europe
9.4.1. U.K.
9.4.2. Germany
9.4.3. France
9.4.4. Italy
9.4.5. Spain
9.4.6. Russia
9.4.7. Netherlands
9.4.8. Switzerland
9.4.9. Poland
9.4.10. Others
9.5. APAC
9.5.1. China
9.5.2. Japan
9.5.3. India
9.5.4. South Korea
9.5.5. Australia & New Zealand
9.5.6. Malaysia
9.5.7. Singapore
9.5.8. Others
9.6. Middle East & Africa
9.6.1. UAE
9.6.2. Saudi Arabia
9.6.3. Iran
9.6.4. Iraq
9.6.5. Qatar
9.6.6. South Africa
9.6.7. Algeria
9.6.8. Morocco
9.6.9. Nigeria
9.6.10. Egypt
9.6.11. Others
CHAPTER 10. GLOBAL ARTIFICIAL INTELLIGENCE IN
TELECOMMUNICATION MARKET – COMPANY PROFILES
10.1. Intel Corporation
10.2. AT&T Inc.
10.3. Google LLC
10.4. Cisco Systems, Inc.
10.5. Nuance Communications, Inc.
10.6. Sentient Technologies
10.7. H2O.ai
10.8. Infosys Limited
10.9. International Business Machines Corporate
10.10. Microsoft Corporation
10.11. Salesforce.com, Inc.
10.12. NVIDIA Corporation
10.13. Verizon Communications Inc.
10.14. Telefónica S.A.
10.15. Japan Telegraph and Telephone Corporation
CHAPTER 11. GLOBAL ARTIFICIAL INTELLIGENCE IN TELECOMMUNICATION
MARKET – COMPETITIVE LANDSCAPE
11.1. Market Share Analysis
11.2. Strategies adopted by top companies
11.3. Mergers, Acquisitions, Collaborations & Agreements
CHAPTER 12. MARKET INSIGHTS
12.1. Industry Experts Insights
12.2. Analysts Opinions
12.3. Investment Opportunities
CHAPTER 13. APPENDIX
13.1. List of Tables
13.2. List of Figures
