Global AI in Telecommunication Market Scenario:
According to Market Research Future (MRFR), the global Global AI in Telecommunication Market is poised to reach approximately USD 1 BN by 2027, growing at a massive 32% CAGR throughout the review period (2020 to 2027).
The global AI in telecommunication is growing continually. AI in telecommunication enables intelligent decision making to manage dynamic network traffic & resources and brings automation in the industry, allowing reduced operational cost and increased efficiency. The market growth attributes to increasing demand for autonomously driven network solutions. Besides, telecom networks expanding in size increase market demand.
Digital transformation in various applications increases the use of AI-driven solutions in telecommunication. Additionally, the rising need for strategy and tools to collect and analyze a large amount of data among telecom service providers to provide attractive services and improve customer retention creates substantial market demand. This data helps to get insights into network performance, helping to reduce customer churn and increase profitability.
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Players leading the Global AI in Telecommunication Market include IBM Corporation (US), Huawei Technologies Co. Ltd (China), Microsoft Corporation (US), Cisco Systems (US), Intel Corporation (US), Nuance Communication (US), H2O.ai (US), ZTE Corporation (China), Salesforce (US), Google LLC (US), and Infosys Limited (India), among others.
- By Component : Solutions (network optimization, network security, SDN (software-defined network) & NFV (network function virtualization), others) and Services (professional and managed services).
- By Deployment : On-Premise and On-Cloud.
- By Technology : Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), and others.
- By Application : Traffic Classification, Resource Utilization & Network Optimization, Anomaly Detection, Predictive Maintenance, Network Orchestration, and others.
- By Regions : Americas, Europe, Asia Pacific, and the Rest-of-the-World.
North America dominates the global Global AI in Telecommunication Market. The leading market share attributes to the presence of several key players such as IBM, Microsoft, and Cisco Systems, providing AI-enabled solutions for the telecommunication industry. Besides, the increasing implementation of cutting-edge technology and the penetration of the Internet and smartphones substantiate the regional market growth.
The increasing spending on R&D of AI algorithms and technologies such as machine learning, NLP, and others increases market size. The North American Global AI in Telecommunication Market is projected to retain its dominance throughout the forecast period.
Europe holds the second-largest share in the global Global AI in Telecommunication Market. The market growth is driven by the presence of various notable players and large deployments of AI technologies in telecom platforms. Additionally, the rising numbers of telephonic services act as a major tailwind for the growth of the regional market. The European Global AI in Telecommunication Market is predicted to create a substantial revenue pocket during the assessment period.
The Asia Pacific Global AI in Telecommunication Market is growing rapidly. Factors such as digital transformation and the use of AI-driven telecom solutions in various countries drive the market growth in the region. The rising adoption of AI technology to enhance customer satisfaction and operational performance boost the growth of the regional market.
Substantial investments made by key players in the development of AI technology in telecom platforms positively impact the growth of the regional market. With the large AI in telecommunication industry, China and India account for the major share in the regional market. The APAC Global AI in Telecommunication Market is expected to grow at a significant rate during the forecast period.
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Table of Contents:
1 Executive Summary
2 Scope Of The Report
2.1 Market Definition
2.2 Scope Of The Study
2.2.1 Research Objectives
2.2.2 Assumptions & Limitations
2.3 Markets Structure
3 Market Research Methodology
3.1 Research Process
3.2 Secondary Research
3.3 Primary Research
3.4 Forecast Model
4 Market Landscape
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