Artificial Intelligence in Telecommunication Market Overview, Opportunities, Demands And Growth Analysis Till 2026


Artificial intelligence (AI) is group of methodology that focus on 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 telecommunication industry are expert systems and machine learning. However, AI is expected to be more beneficial in telecom industry, if the operators upgrade their networks to Software Defined Networks (SDNs), which leads to network virtualization and the deployment of relatively better cloud-based services.
Download PDF Brochure @ https://www.coherentmarketinsights.com/insight/request-pdf/1120
Advent of The fifth generation of mobile networks (5G) and Internet of Things (IoT) technologies, to build future networks is expected to aid in integration of AI in telecom industry. Mobile networks have to deal with heterogeneous data coming from all over the world and from a huge variety of systems, retailers and network types and they should have the ability to act in real-time. So, the analysis of these huge data sets from all over the world is time consuming and somewhere it is next to impossible. In this case Artificial Intelligence plays a key role because it is used to predict and analyze issues faster than human. Artificial Intelligence will make the fifth generation of mobile networks more open enabling connectivity to predictability.
To solve these issues in the telecom industry, machine learning tools are used, which is used to tackle the churning prediction problem. The methods used for solving churning problem includes artificial neural networks, decision trees learning, regression analysis, logistic regression, support vector machines, naive Bayes, sequential pattern mining and market basket analysis, linear discriminant analysis, and rough set approach. Hence, the use of machine learning helps to detect fraudulent calls in mobile phones by examining the user’s calling behavior.
However, lack of availability of cheaper hardware to develop AI-enabled products is the major factor restraining the growth of the AI in telecommunication market.
Browse Complete Report @ https://www.coherentmarketinsights.com/ongoing-insight/artificial-intelligence-in-telecommunication-market-1120
Market Taxonomy
On the basis of component, the global artificial intelligence market in telecommunication industry is segmented into:
  • Tools
  • Services
On the basis of mode of deployment, the global artificial intelligence market in telecommunication industry is segmented into:
  • Cloud based
  • On - premises
On the basis of application, the global artificial intelligence market in telecommunication industry is segmented into:
  • Traffic Classification
  • Resource utilization and Network optimization
  • Anomaly detection
  • Prediction
  • Network Orchestration
Market Outlook – North America held the largest share in global artificial intelligence market in telecommunication industry in 2016
On the basis of geography, global artificial intelligence market in telecom industry is classified into North America, Europe, Asia Pacific, Latin America, Middle East, and Africa. North America held a dominant position in the global artificial intelligence market in telecom industry in 2016, and is expected to retain its dominance throughout the forecast period. This is due to increasing adoption of AI solutions and consumers in the region been early adopters of new technologies. In November 2017, according to Genpact survey of working population across the developed economies that included the U.S., the U.K., and Australia showed high inclination towards adoption of AI in industries including telecommunication. Genpact is a global professional services firm delivering digital transformation.
In addition to this, the Asia Pacific market is estimated to exhibit the highest CAGR over the forecast period. This is attributed to rising adoption of machine learning and natural language processing technologies and several 5G pilot projects. This is expected to boost the AI market in telecom industry. For instance, China Telecom Corporation Ltd. established a new 5G base station in Lanzhou on December 2017 to expand 5G pilot projects in China.
Key Companies
The key industry players include Atomwise, Inc., Lifegraph, Sense.ly, Inc., Zebra Medical Vision, Inc., Baidu, Inc., H2O ai, IBM Watson Health, NVIDIA, Enlitic, Inc., Google, Inc., Intel Corporation, Microsoft Corporation, and others.
Get Discount on this Report @ https://www.coherentmarketinsights.com/insight/request-discount/1120
About Coherent Market Insights:
Coherent Market Insights is a prominent market research and consulting firm offering action-ready syndicated research reports, custom market analysis, consulting services, and competitive analysis through various recommendations related to emerging market trends, technologies, and potential absolute dollar opportunity.
Contact Us:
Mr. Shah
Coherent Market Insights
1001 4th Ave,
#3200
Seattle, WA 98154
Tel: +1-206-701-6702
Email: sales@coherentmarketinsights.com


Comments

Post a Comment

Popular posts from this blog

Motor Vehicle Sensor Market - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

  Market Overview Motor vehicle sensor control and monitor the chemical, physical, and process changes of automobiles. Sensors are used to reduce fuel consumption as well as onboard the weight of vehicles and also comply with government norms for passengers’ safety. With the advent of technology, automobiles are now equipped with a diverse range of sensors providing information about safety, comfort, and other convenience and comfort functions. The demand for sensors is dependent on a number of factors, ranging from technological advances to foreign trade to micro- and macro-economic variables that seek to improve the system functionality. The global motor vehicle sensor market is estimated to account for  US$ 75,447.5 Mn  in terms of value by the end of  2027 . Browse Complete Report @ https://www.coherentmarketinsights.com/market-insight/motor-vehicle-sensor-market-4129 Market Dynamics- Drivers Increasing need for legal and regulatory com...
Read more

Thermal Imaging Market - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

  Market Overview Thermal imaging technology is a method of enhancing the object’s visibility in a totally dark environment by detection of infrared radiation emitted by an object and interpreting these radiations to create a visible pattern (image). This technology captures the upper layer of the infrared light spectrum. It best works in a dark environment without any ambient light and can see through fog, smoke, haze, and is capable of catching moving objects in real-time. There are two types of thermal imaging devices namely un-cooled devices and cryogenically cooled devices. The global Thermal Imaging Market was accounted for  US$ 1,978.7 Mn  in terms of value in 2019 and is expected to grow at  CAGR of 9.7%  for the period  2020-2027 . Browse complete Report @ https://www.coherentmarketinsights.com/market-insight/thermal-imaging-market-4090 Market Dynamics- Drivers Increased investment in armed forces modernization is expec...
Read more

Embedded Temperature Sensor Market - Size, Share, Outlook, and Opportunity Analysis, 2020 - 2027

  The temperature sensor is an electronic device that measures the temperature of person, environment or an object. The temperature sensor is used to state the degree or intensity of heat present in a substance. These sensors will convert input data to electronic data to record, monitor, and then display in a human readable format. There are mainly two types of sensors i.e. contact and non-contact temperature sensors. Non-contact temperature sensors are basically infrared (IR) sensors. Temperature sensor provides benefits such as durability, accuracy, and low power consumption. These sensors are used in various industries to detect overheating and give alert to end users. The temperature sensor finds its application in various sectors such as consumer electronics, semiconductor, chemical, manufacturing, and others. Browse complete Report @ https://www.coherentmarketinsights.com/market-insight/embedded-temperature-sensor-market-4015 The global embedded temperature se...
Read more