“Grand View Research, Inc. – Market Research And Consulting.”
According to report published by Grand View Research, The global artificial intelligence in telecommunication market size was valued at USD 679.0 million in 2019 and is expected to grow at a compound annual growth rate (CAGR) of 38.4% from 2020 to 2027.
The global artificial intelligence in telecommunication market size is expected to reach USD 9.3 billion by 2027, according to a new report by Grand View Research, Inc. The market is anticipated to register a CAGR of 38.4% from 2020 to 2027.
Communication Service Providers (CSPs) need to bring the intelligence in their system optimization, planning, and operations to address the increasing complexities in communication networks caused due to the deployment of new technology paradigms, such as Network Function Virtualization (NFV) and Software-Defined Wide-Area Networking (SD-WAN). Therefore, the telecommunications industry is exploring and introducing AI to improve network efficiency and customer experience.
The telecommunication industry has leveraged technologies, such as cloud computing, big data analytics, and deep learning, to fulfill consumer demands of multimedia services and network security. Also, the intellectualization of communication networks has become possible with the invention of technologies of service-aware network systems and deep packet inspection. Researchers in the industry are tapping into artificial intelligence-based techniques to optimize network architecture & management, and to enable more autonomous operations.
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Furthermore, the next-generation wireless networks are anticipated to evolve into more complex system architectures due to the diversified service requirements and heterogeneity in devices, system architectures, and applications. Artificial intelligence has renewed interest in the telecom industry due to the rising complexity of network technology. Potential AI-based use-cases in communication networks include network operation monitoring & management, fraud mitigation, predictive maintenance, cybersecurity, and virtual assistants