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 for marketing and customer service. However, network operation monitoring & management remains the top use-case in the telecom industry as several communications service providers have adopted AI approaches to address the need for communication automation and agility.
Artificial Intelligence in Telecommunication Market Report Highlights
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Artificial Intelligence in Telecommunication Market
Grand View Research has segmented the global Artificial Intelligence (AI) in telecommunication market based on application and region:
AI in Telecommunication Application Outlook (Revenue, USD Million, 2016 – 2027)
AI in Telecommunication Regional Outlook (Revenue, USD Million, 2016 – 2027)
Key Topics Covered
Table of Content
Chapter 1 Methodology and Scope 1.1 Information Procurement and Research Scope 1.2 Information Analysis 1.3 Market formulation & data visualization 1.4 Market Scope and Assumptions 1.4.1 Secondary Sources 1.4.2 Primary Sources Chapter 2 Executive Summary 2.1 AI in Telecommunication – Industry Snapshot & Key Buying Criteria, 2016 – 2027 2.2 Global 2.2.1 Global AI In Telecommunication Market, 2016 – 2027 2.2.2 Global AI In Telecommunication Market, By Application, 2016 – 2027 2.2.3 Global AI In Telecommunication Market, By Region, 2016 – 2027 Chapter 3 Market Variables, Trends & Scope 3.1 Market Segmentation & Scope 3.2 AI in Telecommunication Size and Growth Prospects 3.3 AI in Telecommunication – Value ChAIn Analysis 3.4 AI in Telecommunication Market Dynamics 3.4.1 Market Drivers 3.4.1.1 Growing need for customer analytics 3.4.1.2 Rapid penetration of AI and machine learning…. continue
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https://www.grandviewresearch.com/industry-analysis/artificial-intelligence-ai-market About Grand View Research
Grand View Research provides syndicated as well as customized research reports and consulting services on 46 industries across 25 major countries worldwide. This U.S.-based market research and consulting company is registered in California and headquartered in San Francisco. Comprising over 425 analysts and consultants, the company adds 1200+ market research reports to its extensive database each year. Supported by an interactive market intelligence platform, the team at Grand View Research guides Fortune 500 companies and prominent academic institutes in comprehending the global and regional business environment and carefully identifying future opportunities.
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