AI in Telecom Market 2019: Company Profiles, Size, Segments, Landscape, Industry Growth and Global Trends by Forecast to 2023


AI in Telecommunication Market Analysis:
The global AI in telecommunication market is predicted to touch USD 1 billion at a 32% CAGR over the forecast period (2018-2023), states the latest Market Research Future (MRFR) report. The role of artificial intelligence in the telecommunication sector was once limited to chatbots. But today it is finding its way into several other areas beyond customer service. Through algorithms, which look for patterns, artificial intelligence is helping to detect and predict network anomalies, allowing operators to fix problems proactively before they impact the customers. By using such intelligent and autonomous network solutions, telecommunication companies are enhancing their service speed and quality, as well as improving customer experience through a reduction in operating cost.

Various factors are pushing the growth of the AI in Telecommunication Market. These factors, in accordance with the Market Research Future (MRFR) report, include the increasing adoption of artificial intelligence for numerous applications in the telecommunication industry, use of artificial intelligence-enabled smartphones, growing need for data-driven solutions, and demand for an autonomously driven network solution. Moreover, the beginning of IoT (internet of things) technologies coupled with 5G networks is predicted to support the AI in telecommunication market.

On the contrary, incompatibility concerns between telecommunication systems and AI technology may hamper the AI in telecommunication market growth over the forecast period.

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Major Key Players:
Leading players profiled in the AI in telecommunication market report include Google LLC (US), Infosys Limited (India), Salesforce (US), H2O.ai (US), ZTE Corporation (China), Nuance Communication (US), Cisco Systems (US), Intel Corporation (US), Microsoft Corporation (US), IBM Corporation (US), and Huawei Technologies Co. Ltd. (China).

June 2019- Iran Telecommunication Research Center recently has called companies that are active in the AI field to cooperate to launch the 5G telecom network.

Market Segmentation:
The Market Research Future report offers a wide segmental analysis of the AI in telecommunication market based on technology, application, deployment mode, and component.
·         Based on the component, the AI in telecommunication market is segmented into services and solution. Of these, the services component will have the largest share in the market over the forecast period. The service component is further segmented into managed services and professional service. The solution segment is further sub-segmented into NFV (network function virtualization), SDN (software-defined network), network security, and network optimization.
·         Based on deployment mode, the AI in telecommunication market is segmented into on-premise and cloud. Of these, cloud deployment will dominate the market over the forecast period.
·         Based on technology, the AI in telecommunication market is segmented into natural language processing (NLP), deep learning (DL), and machine learning (ML). Of these, natural language processing will have the maximum share in the market over the forecast period.
·         Based on application, the AI in telecommunication market is segmented into network orchestration, predictive maintenance, anomaly detection, resource utilization & network optimization, traffic classification, and others.

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Regional Analysis:
Based on the region, the AI in telecommunication market report covers growth opportunities and the latest trends across Europe, Asia Pacific, North America, and Rest of the World. Of these, North America will stay at the fore in the market over the forecast period. This is owing to the growing investment from US telecommunication service providers in AI-driven big data solutions to increase revenue and enhance operational efficiency.

Moreover, the communication companies here, such as AT&T, are making experiments with artificial intelligence to improve the next-generation wireless technology. This is driving the market growth in this region.

About Market Research Future:
At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Services.

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