The global AI in telecommunication market size 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.
Moreover, the need for highly sophisticated, intelligent, and autonomous network driven solutions using artificial intelligence escalates market growth. According to Market Research Future (MRFR), the 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 (2018 to 2027).
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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.
Furthermore, other data sources, such as user call reports and network data, increase the AI in telecommunication market size. Therefore, there is an increasing need for data-driven solutions, which drive the growth of the AI in telecom market. Besides, the increasing usages of advanced machine learning, deep learning, and natural language processing in telecom accelerate market growth.
AI in Telecommunication Market - Segments
The report is segmented into five dynamics;
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.
AI in Telecommunication Market - Regional Analysis
North America dominates the 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 RD of AI algorithms and technologies such as machine learning, NLP, and others increases market size. The North American AI in telecommunication market is projected to retain its dominance throughout the forecast period.
Europe holds the second-largest share in the 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 AI in telecommunication market is predicted to create a substantial revenue pocket during the assessment period.
The Asia Pacific 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 AI in telecommunication market is expected to grow at a significant rate during the forecast period.
AI in Telecommunication Market - Competitive Analysis
Highly competitive, the AI in telecommunication market appears fragmented due to the presence of several well-established players. Mergers acquisitions, innovation, and brand reinforcement remain prevailing key trends for the leading players as these strategies support their growth and expansion plans. They deliver reliable, leading-edge products and services. For which they invest substantially in RD to develop adept technologies and products.
Major Players:
Players leading the 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.
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Industry/Innovation/Related News:
September 28, 2020 --- Technology giant Microsoft Corporation (the US) announced that it is partnering with the telecommunications industry to enable 5G networks and more. The increasing demand for improved connectivity, immersive experiences, secure collaboration, and remote human relationships pushes networks to their limits while driving down the market price.
The network infrastructure must ensure operators can optimize costs and gain efficiencies while enabling personalized and differentiated services. To address the 5G requirements, operators face strong challenges, such as high capital expenditure (CapEx) investments, an increased need for scale, automation, and secure management of the massive volume of data it will generate.
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