Generative Artificial Intelligence (AI) in Telecom Market Report 2024

This Generative Artificial Intelligence (AI) In Telecom market report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market’s historic and forecast market growth by geography.

The generative AI in telecom market size has grown exponentially in recent years. It will grow from $0.31 billion in 2023 to $0.48 billion in 2024 at a compound annual growth rate (CAGR) of 53.1%. The growth during the historic period can be attributed to several factors, rising demand for improved customer service, greater adoption of automation, the expansion of over-the-top (OTT) services, and an increasing number of telecom companies.

The generative AI in telecom market size is expected to see exponential growth in the next few years. It will grow to $2.63 billion in 2028 at a compound annual growth rate (CAGR) of 53.3%. The anticipated growth during the forecast period can be attributed to several factors, the rising adoption of generative AI-powered chatbots, expanding smart city initiatives, increasing digital penetration, a growing number of Internet of Things (IoT) devices, and rising network demands. Key trends expected to drive this growth include advancements in AI technologies, innovative telecom solutions, integration of cutting-edge technologies, development of digital transformation and innovation strategies, and the incorporation of IoT edge computing.

The growing number of Internet of Things (IoT) devices is expected to drive the expansion of generative artificial intelligence (AI) in telecom markets in the future. IoT devices are interconnected devices that use advanced connectivity to communicate and exchange data over networks. The increase in IoT devices is fueled by technological advancements, lower costs, and the rising demand for automation and data-driven insights. AI in telecom enhances IoT device connectivity by optimizing network management and predicting maintenance needs, which leads to better efficiency and scalability. For example, in April 2024, a report by Ericsson, a Sweden-based telecommunications company, revealed that global IoT connections reached 15.7 billion in 2023 and are projected to grow by 16%, reaching 38.8 billion connections by 2029. As a result, the increasing number of IoT devices is driving the growth of generative AI in the telecom market.

Leading companies in the generative AI in telecom sector are focusing on developing advanced solutions, such as GenAI Telco platforms, to improve customer experience and optimize network performance. GenAI Telco platforms are AI-driven systems specifically designed for the telecom industry to automate processes, enhance network management, and improve customer interactions. For instance, in September 2023, Netcracker Technology, a US-based IT company, introduced the GenAI Telco Solution. This platform is designed to accelerate the adoption of high-value use cases across telecom businesses. It enables communication service providers (CSPs) to securely utilize their telecom data and expertise to deliver substantial benefits to customers, partners, and their own organizations. The GenAI Telco Platform includes features for knowledge management, allowing for the development, testing, and optimization of telecom-specific scenarios such as customer service, business operations, sales, and network management. By integrating with popular AI models, this platform helps CSPs enhance customer interactions, boost operational efficiency, and achieve cost savings while maintaining compliance with data protection regulations.

In November 2023, Amdocs, an Israel-based telecommunications firm, partnered with Nvidia Corporation to advance the use of generative AI in telecommunications and media. This collaboration aims to leverage Nvidia's AI infrastructure alongside Amdocs' amAIz framework to enhance customer experiences and operational efficiencies. Nvidia Corporation, a US-based technology company, provides AI-enabled telecom solutions.

Major companies operating in the generative artificial intelligence (AI) in telecom market are Amazon Web Services, Microsoft Corporation, Verizon Communications Inc., AT&T Inc., Deutsche Telekom AG, Huawei Technologies Co. Ltd., International Business Machines Corporation, Vodafone Group Public Limited Company, Telefónica S.A., Nvidia Corporation, Telefonaktiebolaget LM Ericsson, Capgemini SE, NTT DATA, Infosys Limited, Wipro Limited, Amdocs Limited, Ciena Corporation, Netcracker Technology Corporation, UiPath Inc., Gsma Advisory Services Ltd, C3.ai Inc, LeewayHertz Technologies Pvt Ltd, Subex Ltd, Alepo Technologies Private Limited, Cresta Intelligence Inc, Xaltius Pte. Ltd., Binmile Technologies Private Limited's, Kanerika.

North America was the largest region in the generative AI in telecom market in 2023. The regions covered in the generative artificial intelligence (AI) in telecom market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the generative artificial intelligence (AI) in telecom market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Generative artificial intelligence in telecom involves using AI techniques to create new data or content, aimed at improving network operations and enhancing customer interactions. This technology optimizes network performance and personalizes customer experiences through advanced data analysis and predictive modeling.

The main types of generative AI in telecom are text-based, image-based, and voice-based. Text-based generative AI refers to technologies that create or manipulate written content using AI. This type of AI includes various components such as software and services, and can be deployed through on-premises, cloud-based, edge, and hybrid models. Its applications cover a range of areas, including network optimization, predictive maintenance, improving call center operations and customer support, personalized product or service recommendations, security and fraud detection, and marketing, among others.

The generative artificial intelligence in telecom market research report is one of a series of new reports that provides generative artificial intelligence in telecom market statistics, including generative artificial intelligence in telecom industry global market size, regional shares, competitors with a generative artificial intelligence in telecom market share, detailed generative artificial intelligence in telecom market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence in telecom industry. This generative artificial intelligence in telecom market research report delivers a complete perspective on everything you need, with an in-depth analysis of the current and future scenarios of the industry.

The generative artificial intelligence in the telecom market consists of revenues earned by entities providing services such as customer service automation, personalized content delivery, fraud detection, and prevention of network security. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative artificial intelligence in the telecom market also includes sales of data management tools, customer experience enhancement tools, data management and analytics platforms, and fraud detection and prevention systems. Values in this market are ‘factory gate’ values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

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