 Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024
      Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024This 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 US$ 3880 million by 2024, from US$ 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.
Summary: 
Get latest Market Research Reports on  AI In Telecommunication . Industry analysis & Market Report on  AI In Telecommunication  is a syndicated market report, published as Global AI In Telecommunication Market Growth (Status and Outlook) 2019-2024. It is complete Research Study and Industry Analysis of  AI In Telecommunication  market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.