{"id":345964,"date":"2019-03-22T08:45:03","date_gmt":"2019-03-22T08:45:03","guid":{"rendered":"http:\/\/www.abnewswire.com\/pressreleases\/?p=345964"},"modified":"2019-03-22T08:45:03","modified_gmt":"2019-03-22T08:45:03","slug":"ai-in-telecommunication-market-2019-global-trends-market-share-industry-size-growth-opportunities-and-forecast-to-2024","status":"publish","type":"post","link":"https:\/\/www.abnewswire.com\/pressreleases\/ai-in-telecommunication-market-2019-global-trends-market-share-industry-size-growth-opportunities-and-forecast-to-2024_345964.html","title":{"rendered":"AI In Telecommunication Market 2019 Global Trends, Market Share, Industry Size, Growth, Opportunities and Forecast to 2024"},"content":{"rendered":"
\n
“AI In Telecommunication Market”<\/div>\n<\/div>\n
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<\/div>\n

Summary<\/strong><\/p>\n

WiseGuyReports.com<\/strong> adds “AI In Telecommunication Market 2019 Global Analysis, Growth, Trends and Opportunities Research Report Forecasting to 2024<\/strong>” reports to its database.<\/p>\n

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.
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<\/strong>.
Geographically, the United States dominated the global AI in Telecommunication<\/strong><\/a> 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<\/strong>.<\/p>\n

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.<\/p>\n

The key players covered in this study
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia<\/strong><\/p>\n

Request a Free Sample Report @ <\/strong>https:\/\/www.wiseguyreports.com\/sample-request\/3852934-global-ai-in-telecommunication-market-size-status-and-forecast-2019-2025<\/strong><\/a><\/p>\n

Market segment by Type, the product can be split into
<\/strong>Solutions
Services<\/p>\n

Market segment by Application, split into
<\/strong>Network Optimization
Network Security
Customer Analytics
Others<\/p>\n

Market segment by Regions\/Countries, this report covers
<\/strong>United States
Europe
China
Japan
Southeast Asia
India
Central & South America<\/p>\n

The study objectives of this report are:
<\/strong>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.<\/p>\n

At Any Query @ <\/strong>https:\/\/www.wiseguyreports.com\/enquiry\/3852934-global-ai-in-telecommunication-market-size-status-and-forecast-2019-2025<\/strong><\/a><\/p>\n

Major Key Points in Table of Content<\/strong><\/p>\n

1 Report Overview
<\/strong>1.1 Study Scope
1.2 Key Market Segments
1.3 Players Covered
1.4 Market Analysis by Type
1.4.1 Global AI In Telecommunication Market Size Growth Rate by Type (2014-2025)
1.4.2 Solutions
1.4.3 Services
1.5 Market by Application
1.5.1 Global AI In Telecommunication Market Share by Application (2014-2025)
1.5.2 Network Optimization
1.5.3 Network Security
1.5.4 Customer Analytics
1.5.5 Others
1.6 Study Objectives
1.7 Years Considered<\/p>\n

2 Global Growth Trends
<\/strong>2.1 AI In Telecommunication Market Size
2.2 AI In Telecommunication Growth Trends by Regions
2.2.1 AI In Telecommunication Market Size by Regions (2014-2025)
2.2.2 AI In Telecommunication Market Share by Regions (2014-2019)
2.3 Industry Trends
2.3.1 Market Top Trends
2.3.2 Market Drivers
2.3.3 Market Opportunities<\/p>\n

…..<\/strong><\/p>\n

12 International Players Profiles
12.1 IBM
<\/strong>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
<\/strong>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
<\/strong>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
12.4 AT&T
<\/strong>12.4.1 AT&T Company Details
12.4.2 Company Description and Business Overview
12.4.3 AI In Telecommunication Introduction
12.4.4 AT&T Revenue in AI In Telecommunication Business (2014-2019)
12.4.5 AT&T Recent Development
12.5 Cisco Systems
<\/strong>12.5.1 Cisco Systems Company Details
12.5.2 Company Description and Business Overview
12.5.3 AI In Telecommunication Introduction
12.5.4 Cisco Systems Revenue in AI In Telecommunication Business (2014-2019)
12.5.5 Cisco Systems Recent Development
12.6 Nuance Communications
<\/strong>12.6.1 Nuance Communications Company Details
12.6.2 Company Description and Business Overview
12.6.3 AI In Telecommunication Introduction
12.6.4 Nuance Communications Revenue in AI In Telecommunication Business (2014-2019)
12.6.5 Nuance Communications Recent Development
12.7 H2O.ai
<\/strong>12.7.1 H2O.ai Company Details
12.7.2 Company Description and Business Overview
12.7.3 AI In Telecommunication Introduction
12.7.4 H2O.ai Revenue in AI In Telecommunication Business (2014-2019)
12.7.5 H2O.ai Recent Development
12.8 Salesforce
<\/strong>12.8.1 Salesforce Company Details
12.8.2 Company Description and Business Overview
12.8.3 AI In Telecommunication Introduction
12.8.4 Salesforce Revenue in AI In Telecommunication Business (2014-2019)
12.8.5 Salesforce Recent Development
12.9 Nvidia
<\/strong>12.9.1 Nvidia Company Details
12.9.2 Company Description and Business Overview
12.9.3 AI In Telecommunication Introduction
12.9.4 Nvidia Revenue in AI In Telecommunication Business (2014-2019)
12.9.5 Nvidia Recent Development<\/p>\n

Continued….<\/strong><\/p>\n

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“AI In Telecommunication Market” 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 Summary WiseGuyReports.com adds “AI In … Continue reading →<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[401],"tags":[],"class_list":["post-345964","post","type-post","status-publish","format-standard","hentry","category-Business"],"_links":{"self":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/345964","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/comments?post=345964"}],"version-history":[{"count":0,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/posts\/345964\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/media?parent=345964"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/categories?post=345964"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.abnewswire.com\/pressreleases\/wp-json\/wp\/v2\/tags?post=345964"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}