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Global AI In Telecommunication Market 2019-2025:This report studies the AI in Telecommunication market, There are a number of different AI technologies that may be useful in telecoms.
These include:
Self-optimising networks (SON), where the network’s goals and limits are set by designers, and the network’s control software works within those boundaries to make the network as efficient as possible;
Deep neural networks may enable machines perform human like tasks, allowing them to help digitalizing the business and providing better customer engagement;
Software defined networks (SDN) and Network Function Virtualisation (NFV) will increase the diversity of possible traffic through the network. Both services and bundles will be able to become more sophisticated, with customers even able to interact with the services behind the network.
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As telecom companies are adopting technologies like virtualization, SDN-NFV, orchestration; Artificial Intelligence is going to play a big role in smooth integration of these technologies and automating the networks. Using AI and data analytics, operators will be able to identify and push various services to the customers at the right time, for e.g. – in case of post-paid customers, operators must encourage high speed data services and offer tailored data packs when subscriber is running low on data.
31.5% of the telecommunication organizations are primarily focusing to leverage existing investments/infrastructure and rest 63.5% are making new technology investments for AI systems and these continue to be global trends.
At present, in developed countries, AI in Telecommunication is generally at a more advanced level. The world's top vendors are mainly concentrated in US. The top three manufacturers are IBM, Microsoft and Intel, respectively with global market share as 16.19%, 15.00% and 10.81% in 2017.
Geographically, the United States dominated the global AI in Telecommunication market in 2017 and accounted for around 28.9% share of the total market in the same year. Further, the Asia-Pacific region with major markets such as Japan and China is expected to record explosive growth as compared to other regions in later years of the forecast period.
In 2018, the global AI In Telecommunication market size was 340 million US$ and it is expected to reach 5640 million US$ by the end of 2025, with a CAGR of 41.9% during 2019-2025.
The key players covered in this study:
• IBM
• Microsoft
• Intel
• AT&T
• Cisco Systems
• Nuance Communications
• H2O.ai
• Salesforce
• Nvidia
Market segment by Type, the product can be split into:
• Solutions
• Services
Market segment by Application, split into:
• Network Optimization
• Network Security
• Customer Analytics
• Others
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This report focuses on the global AI In Telecommunication status, future forecast, growth opportunity, key market and key players. The study objectives are to present the AI In Telecommunication development in United States, Europe and China.
The study objectives of this report are:
To analyze global AI In Telecommunication status, future forecast, growth opportunity, key market and key players.
To present the AI In Telecommunication development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
Key Points from TOC:
Chapter One: Report Overview
Chapter Two: Global Growth Trends
Chapter Three: Market Share by Key Players
3.1 AI In Telecommunication Market Size by Manufacturers
3.1.1 Global AI In Telecommunication Revenue by Manufacturers (2014-2019)
3.1.2 Global AI In Telecommunication Revenue Market Share by Manufacturers (2014-2019)
3.1.3 Global AI In Telecommunication Market Concentration Ratio (CRChapter Five: and HHI)
3.2 AI In Telecommunication Key Players Head office and Area Served
3.3 Key Players AI In Telecommunication Product/Solution/Service
3.4 Date of Enter into AI In Telecommunication Market
3.5 Mergers & Acquisitions, Expansion Plans
Chapter Four: Breakdown Data by Type and Application
Chapter Five: United States
Chapter Six: Europe
Chapter Seven: China
Chapter Eight: Japan
Chapter Nine: Southeast Asia
Chapter Ten: India
Chapter Eleven: Central & South America
Chapter Twelve: International Players Profiles
12.1 IBM
12.1.1 IBM Company Details
12.1.2 Company Description and Business Overview
12.1.3 AI In Telecommunication Introduction
12.1.4 IBM Revenue in AI In Telecommunication Business (2014-2019)
12.1.5 IBM Recent Development
12.2 Microsoft
12.2.1 Microsoft Company Details
12.2.2 Company Description and Business Overview
12.2.3 AI In Telecommunication Introduction
12.2.4 Microsoft Revenue in AI In Telecommunication Business (2014-2019)
12.2.5 Microsoft Recent Development
12.3 Intel
12.3.1 Intel Company Details
12.3.2 Company Description and Business Overview
12.3.3 AI In Telecommunication Introduction
12.3.4 Intel Revenue in AI In Telecommunication Business (2014-2019)
12.3.5 Intel Recent Development
Continued…
Chapter Thirteen: Market Forecast 2019-2025
Chapter Fourteen: Analyst's Viewpoints/Conclusions
Chapter Fifteen: Appendix
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