Global Artificial Intelligence AI for Telecommunication Market
Global Artificial Intelligence AI for Telecommunication Market valued approximately USD 651.2 million in 2017 is anticipated to grow with a healthy growth rate of more than 42% over the forecast period 2018-2025.
The Artificial Intelligence AI for Telecommunication Market is continuously growing in the global scenario at a significant pace. Artificial intelligence AI is a group of methodology that focuses on the formation of intelligent machines with the help of human intelligence such as visual perception, speech recognition, decision-making, and translation between languages. The main application of artificial intelligence in telecommunications is for network management. The two key technologies that are widely in the telecommunication industry are expert systems and machine learning. Transformation of communications service providers to digital service providers, the complexity of service offerings demands automation and emergence of fifth-generation mobile networks along with the internet of things are the substantial driving factors of the market during the forecast period. Moreover, rising focus on AI technologies with upcoming wireless technologies is the major factors that likely to create numerous opportunity in the near future. In addition, Artificial Intelligence AI for Telecommunication improves interaction with data coupled with better end-point control are other factors that impelling the growth in the market of Artificial Intelligence AI for Telecommunication during the forecast period. However, slow rollout of software-defined networks and network function virtualization and lack of skilled professionals are the factors that limiting the growth of the market across the world.
The regional analysis of Global Artificial Intelligence AI for Telecommunication Market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America and Rest of the World. North America is the leading/significant region across the world in terms of market share due to rising R&D in an autonomous vehicle, healthcare, cybersecurity and security and presence of access control technologies in the region. Europe is estimated to grow at a stable growth rate in the global Artificial Intelligence AI for Telecommunication market over the upcoming years. Further, Asia-Pacific anticipated exhibiting higher growth rate / CAGR over the forecast period 2018-2025 owing to rising investment on AI technologies in the region.
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The major market player included in this report are:
Atomwise Inc.
Lifegraph
Zebra Medical Vision Inc.
Baidu Inc.
Microsoft Corporation
IBM
The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:
By Component:
Tools
Services
By Application:
Traffic Classification
Resource Utilization & Network Optimization
Anomaly Detection
Prediction
Network Orchestration
By Regions:
North America
U.S.
Canada
Europe
UK
Germany
Asia Pacific
China
India
Japan
Latin America
Brazil
Mexico
Rest of the World
Furthermore, years considered for the study are as follows:
Historical year – 2015, 2016
Base year – 2017
Forecast period – 2018 to 2025
Target Audience of the Global Artificial Intelligence AI for Telecommunication Market in Market Study:
Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers VARs
Third-party knowledge providers
Investment bankers
Investors
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