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Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024

Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024

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Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024
Global AI In Telecommunication Market...
Report Code
RO9/109/1353

Publish Date
25/Feb/2019

Pages
118
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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.
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.

According to this study, over the next five years the AI In Telecommunication market will register a 49.8% CAGR in terms of revenue, the global market size will reach USD 3880 million by 2024, from USD 340 million in 2019. In particular, this report presents the global revenue market share of key companies in AI In Telecommunication business, shared in Chapter 3.

This report presents a comprehensive overview, market shares and growth opportunities of AI In Telecommunication market by product type, application, key companies and key regions.

This study considers the AI In Telecommunication value generated from the sales of the following segments:

Segmentation by product type: breakdown data from 2014 to 2019 in Section 2.3; and forecast to 2024 in section 10.7.
Solutions
Services
Segmentation by application: breakdown data from 2014 to 2019, in Section 2.4; and forecast to 2024 in section 10.8.
Network Optimization
Network Security
Customer Analytics
Others

This report also splits the market by region: Breakdown data in Chapter 4, 5, 6, 7 and 8.
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Spain
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The report also presents the market competition landscape and a corresponding detailed analysis of the major vendor/manufacturers in the market. The key manufacturers covered in this report: Breakdown data in in Chapter 3.
IBM
Microsoft
Intel
AT&T
Cisco Systems
Nuance Communications
H2O.ai
Salesforce
Nvidia

In addition, this report discusses the key drivers influencing market growth, opportunities, the challenges and the risks faced by key players and the market as a whole. It also analyzes key emerging trends and their impact on present and future development.

Research objectives
To study and analyze the global AI In Telecommunication market size by key regions/countries, product type and application, history data from 2014 to 2018, and forecast to 2024.
To understand the structure of AI In Telecommunication market by identifying its various subsegments.
Focuses on the key global AI In Telecommunication players, to define, describe and analyze the value, market share, market competition landscape, SWOT analysis and development plans in next few years.
To analyze the AI In Telecommunication with respect to individual growth trends, future prospects, and their contribution to the total market.
To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
To project the size of AI In Telecommunication submarkets, with respect to key regions (along with their respective key countries).
To analyze competitive developments such as expansions, agreements, new product launches and acquisitions in the market.
To strategically profile the key players and comprehensively analyze their growth strategies.

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