AI In Telecommunication Global Market Report 2024

“AI In Telecommunication Global Market Report 2024 ” from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in telecommunication market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

• Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
• Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
• Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
• Measure the impact of high global inflation on market growth.
• Create regional and country strategies on the basis of local data and analysis.
• Identify growth segments for investment.
• Outperform competitors using forecast data and the drivers and trends shaping the market.
• Understand customers based on the latest market shares.
• Benchmark performance against key competitors.
• Suitable for supporting your internal and external presentations with reliable high quality data and analysis
• Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
• All data from the report will also be delivered in an excel dashboard format.

Where is the largest and fastest growing market for ai in telecommunication? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? “The ai in telecommunication market global report ” from The Business Research Company answers all these questions and many more.

The 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 market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

Markets Covered:

• 1) By Component: Solution; Service
• 2) By Technology: Machine Learning; Natural Language Processing (NLP); Data Analytics; Other Technologies
• 3) By Deployment Model: On-Premise; Cloud
• 4) By Application: Customer Analytics; Network Security; Network Optimization; Self-Diagnostics; Virtual Assistance; Other Applications
• Companies Mentioned: Intel Corporation; Nuance Communications Inc.; Infosys Limited.; ZTE Corporation; IBM Corporation
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Executive Summary

AI in telecommunication involves the application of machine learning algorithms and other advanced technologies to enhance telecommunication services and processes. These technologies aim to improve and optimize network infrastructure, ensuring a stable and efficient network.

The primary components of AI in telecommunication include solutions and services. Solutions refer to algorithms or models designed to address specific problems or tasks using machine learning techniques. The deployment models for these solutions include on-premise and cloud, utilizing various technologies such as machine learning, natural language processing (NLP), data analytics, and others. AI in telecommunication finds applications in various areas, including customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and more.

The AI in telecommunication market research report is one of a series of new reports from The Business Research Company that provides AI in telecommunication market statistics, including AI in telecommunication industry global market size, regional shares, competitors with AI in telecommunication market share, detailed AI in telecommunication market segments, market trends and opportunities, and any further data you may need to thrive in the AI in telecommunication industry. This AI in telecommunication market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The ai in telecommunication market size has grown exponentially in recent years. It will grow from $2.48 billion in 2023 to $3.47 billion in 2024 at a compound annual growth rate (CAGR) of 40.1%. The growth observed in the historical period can be attributed to several factors, including the increased complexity of networks, rising customer service expectations, the need for extensive data analysis due to data explosion, challenges in network security, and the influence of competition on operational efficiency.

The ai in telecommunication market size is expected to see exponential growth in the next few years. It will grow to $13.5 billion in 2028 at a compound annual growth rate (CAGR) of 40.4%. The anticipated growth in the forecast period can be attributed to several factors, including the expansion of 5G networks, heightened goals for enhancing customer experience, integration of edge computing, growing concerns about cybersecurity, and an increased demand for network automation. Noteworthy trends expected in the forecast period encompass the application of AI in revenue assurance, the optimization of spectrum management with AI, the use of AI in edge computing for low-latency services, the implementation of AI in virtualized network functions, and the pursuit of green telecommunications through the application of AI.

The growth of the AI in telecommunications market is closely linked to the expanding presence of Over-The-Top (OTT) services. OTT services encompass applications and services delivered over the Internet, bypassing traditional distribution methods such as cable, satellite, and broadcast television. The rising demand for OTT services is a result of consumers increasingly embracing the convenience and flexibility of streaming content online, leading to a shift away from traditional media consumption models. In August 2022, WebFX reported that 85% of American millennials subscribe to at least one OTT video service, and 70% of users consume more than three hours of mobile OTT video content daily. Projections indicate that by 2027, there will be over 3.5 million active OTT AVOD users, with Netflix becoming the largest OTT service with 221 million active members worldwide. This surge in the adoption of over-the-top services is a driving force behind the growth of AI in the telecommunications market.

The rapid deployment of 5G networks is another significant factor propelling the growth of AI in the telecommunications market. 5G networks, representing the fifth generation of wireless technology, bring advancements such as higher data speeds, low latency, and support for a massive number of connected devices. The complexity introduced by these features necessitates the use of AI to manage and optimize networks efficiently. In May 2023, Telefonaktiebolaget LM Ericsson reported that around 240 5G networks were being deployed globally, with a projected increase of approximately 85% until 2028. Moreover, 5G wireless connections increased by 76% to reach 1.05 billion in 2022, according to 5G Americas, and are expected to reach 1.9 billion by the end of 2023 and 5.9 billion by 2027. The rapid implementation of 5G networks is a key driver fueling the growth of AI in the telecommunications market.

Technological advancements emerge as a pivotal trend in the AI in telecommunications market, with companies actively embracing new technologies to maintain their market positions. For example, in October 2021, Ericsson, a multinational networking and telecommunications company based in Sweden, introduced the Network Data Analytics Function (NWDAF) solution. This cloud-native offering leverages machine learning and AI to enable service providers to analyze and optimize network performance, detect issues, and resolve them swiftly. NWDAF provides real-time insights into network data, empowering service providers to make informed decisions to enhance service quality and customer experience. As a crucial component in 5G network infrastructure, NWDAF allows service providers to monitor and optimize the network in real time, ensuring a seamless user experience.

Major companies in the AI telecommunications market are directing their efforts toward innovative solutions, such as generative AI tools tailored for telecommunications operators, to maintain their market positions. A generative AI tool tailored for telecommunications operators is specialized software designed to harness generative artificial intelligence (AI) to address specific challenges within the telecommunications industry. The GenAI Telco Solution, introduced by Netcracker in September 2023, allows operators to input data directly, enabling the generative AI to build, test, and optimize scenarios specific to telecom operations. This includes areas such as customer care, business operations, sales, and network operations. The GenAI Telco Solution is designed to handle the unique challenges faced by telcos, where confidential and dynamic data can pose obstacles to leveraging real-time information effectively. The solution features the GenAI Trust Gateway, seamlessly integrating with telco IT and data analytics environments. This emphasis on technological innovation contributes to the continued advancement of AI applications in the telecommunications industry.

In March 2022, Microsoft Corporation, a prominent US-based technology corporation, completed the acquisition of Nuance Communications Inc. for an undisclosed amount. This strategic acquisition represents a major step for Microsoft, enabling the company to expand and strengthen its artificial intelligence (AI) capabilities and solutions across various sectors. Nuance Communications Inc., a software technology company based in the United States, specializes in conversational AI and speech recognition.

Major companies operating in the ai in telecommunication market report are Intel Corporation, Nuance Communications Inc., Infosys Limited., ZTE Corporation, IBM Corporation, Google LLC, Microsoft Corporation, Salesforce Inc., Cisco Systems Inc., NVIDIA Corporation, Evolv Technology Solutions Inc., AI Incorporated, Sentient Technologies LLC, Comcast Corporation, Verizon Communications Inc., Windstream Holdings Inc., Nokia Corporation, Amazon Web Services Inc., Tech Mahindra Limited, Huawei Technologies Canada Co. Ltd., Ericsson AB, Samsung Electronics Co. Ltd., Orange Business, Deutsche Telekom AG, Telefonaktiebolaget LM Ericsson, China Mobile Limited, China Telecom Corporation Limited, China Unicom (Hong Kong) Limited, Vodafone Group Plc, BT Group plc

North America was the largest region in the AI in telecommunication market in 2023. Asia-Pacific is expected to be the fastest-growing region in the global AI in telecommunication market report during the forecast period. The regions covered in the ai in telecommunication market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

The countries covered in the ai in telecommunication market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain

The AI in telecommunication market includes revenues earned by entities by robotics process automation (RPA), chatbots and virtual assistants, and network security. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The AI in telecommunication market consists of sales of CPU, graphics processors, and semiconductors. 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.