The Worldwide AI in Telecommunication Industry is Expected to Reach $6.3 Billion by 2026
DUBLIN, Oct. 15, 2021 /PRNewswire/ -- The "Global AI in Telecommunication Market (2021-2026) by Component, Technology, Application, Deployment Mode, Geography, Competitive Analysis and the Impact of COVID-19 with Ansoff Analysis" report has been added to ResearchAndMarkets.com's offering.
The Global AI in Telecommunication Market is estimated to be USD 1.2 Bn in 2021 and is expected to reach USD 6.3 Bn by 2026, growing at a CAGR of 38%.
Key factors such as the advent of 5G technologies in mobile networks, growing demand for effective and efficient network management solutions have been driving the overall AI in the Telecommunication market growth. Increasing AI-embedded smartphones and the growing adoption of AI solutions in various telecom applications are likely to further drive market growth. Telecom vendors commonly use AI for customer service applications, such as chatbots and virtual assistants, to address many support requests for installation, maintenance, and troubleshooting. To improve customer experience, telecom operators are adopting AI.
Conversely, incompatibility between telecommunication systems and AI technology, which leads to integration complexity in these solutions, is the major restraint for the market growth. Also, the lack of skilled expertise and privacy & identity concerns of individuals are some other factors hindering the market growth.
Market Dynamics
Drivers
- Increasing Adoption of AI for Various Applications in the Telecommunication Industry
- AI Can Be the Key to Self-Driving Telecommunication Networks
- Increased Need for Monitoring the Content Spread on Telecommunication Networks
- Growing Demand for Effective and Efficient Network Management Solutions
Restraints
Opportunities
- Cloud-Based AI Offerings in the Telecommunication Industry
- Utilization of AI-Enabled Smartphones
Challenges
- Privacy and Identity Concerns of Individuals
- Lack of expertise
Competitive Quadrant
The report includes a Competitive Quadrant, a proprietary tool to analyze and evaluate the position of companies based on their Industry Position score and Market Performance score.The tool uses various factors for categorizing the players into four categories. Some of these factors considered for analysis are financial performance over the last 3 years, growth strategies, innovation score, new product launches, investments, growth in market share, etc.
Why buy this report?
- The report offers a comprehensive evaluation of the Global AI in the Telecommunication Market.
- The report includes in-depth qualitative analysis, verifiable data from authentic sources, and projections about market size. The projections are calculated using proven research methodologies.
- The report has been compiled through extensive primary and secondary research. The primary research is done through interviews, surveys, and observation of renowned personnel in the industry.
- The report includes in-depth market analysis using Porter's 5 force model and the Ansoff Matrix. The impact of Covid-19 on the market is also featured in the report.
- The report also contains the competitive analysis using Competitive Quadrant, the analyst's proprietary competitive positioning tool.
Report Highlights:
- A complete analysis of the market including parent industry
- Important market dynamics and trends
- Market segmentation
- Historical, current, and projected size of the market based on value and volume
- Market shares and strategies of key players
- Recommendations to companies for strengthening their foothold in the market
Key Topics Covered:
1 Report Description
2 Research Methodology
3 Executive Summary
4 Market Overview 4.1 Introduction 4.2 Market Dynamics 4.2.1 Drivers 4.2.2 Restraints 4.2.3 Opportunities 4.2.4 Challenges 4.3 Trends
5 Market Analysis 5.1 Porter's Five Forces Analysis 5.2 Impact of COVID-19 5.3 Ansoff Matrix Analysis
6 Global AI 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
7 Global AI in Telecommunication Market, By Technology 7.1 Introduction 7.2 Machine Learning and Deep Learning 7.3 Natural Language Processing
8 Global AI 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
9 Global AI in Telecommunication Market, By Deployment Mode 9.1 Introduction 9.2 Cloud 9.3 On-Premises
10 Global AI in Telecommunication Market, By Geography 10.1 Introduction 10.2 North America 10.2.1 US 10.2.2 Canada 10.2.3 Mexico 10.3 South America 10.3.1 Brazil 10.3.2 Argentina 10.4 Europe 10.4.1 UK 10.4.2 France 10.4.3 Germany 10.4.4 Italy 10.4.5 Spain 10.4.6 Rest of Europe 10.5 Asia-Pacific 10.5.1 China 10.5.2 Japan 10.5.3 India 10.5.4 Indonesia 10.5.5 Malaysia 10.5.6 South Korea 10.5.7 Australia 10.5.8 Russia 10.5.9 Rest of APAC 10.6 Rest of the World 10.6.1 Qatar 10.6.2 Saudi Arabia 10.6.3 South Africa 10.6.4 United Arab Emirates 10.6.5 Latin America
11 Competitive Landscape 11.1 Competitive Quadrant 11.2 Market Share Analysis 11.3 Competitive Scenario 11.3.1 Mergers & Acquisitions 11.3.2 Agreements, Collaborations, & Partnerships 11.3.3 New Product Launches & Enhancements 11.3.4 Investments & funding
12 Company Profiles 12.1 IBM 12.2 Microsoft 12.3 Intel 12.4 Google 12.5 AT&T 12.6 Cisco Systems 12.7 Nuance Communications 12.8 Sentient Technologies 12.9 H2O.ai 12.10 Infosys 12.11 Salesforce 12.12 Nvidia 12.13 Atomwise 12.14 Sense.ly Inc.
13 Appendix
For more information about this report visit https://www.researchandmarkets.com/r/26wxea
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