USD 1.2 billion
Report ID: SQSG45H2012 | Region: Global | Published Date: October, 2022 | Pages: 165
Global Artificial Intelligence in Telecommunication Market was valued at USD 1.2 billion in 2021, and it is expected to attain a value of USD 11.67 billion by 2028 with a CAGR of 38.4% over the forecast period (2022-2028).
By utilizing AI and automation, telecom businesses may save operational costs while enhancing the customer experience. The heart of the telecommunications industry has already benefited from artificial intelligence, Additionally, it aids in the development of the self-optimizing network, which can build the system depending on current conditions while adhering to the parameters established by the specific designer. It helps network operations identify the underlying causes of problems and detect problems like Service-Level Agreement (SLA) breaches.
The transition from fourth generation (4G) to fifth generation (5G) mobile communications is now taking place in the telecom sector. With extremely low latency rates, 5G technology is predicted to offer faster data transmission speeds. The Internet of Things (IoT)-controlled verticals are supported by infrastructure that telecom firms are creating (IoT). For instance, Google and AT&T Intellectual Property worked together to assist businesses use Google Cloud technologies with 5G network access. By merging the analytics, AI/machine learning, and networking capabilities of Google Cloud with the 5G network capabilities of AT&T Intellectual Property, both firms are building 5G products.
Global Market Size
USD 1.2 billion
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The global Artificial Intelligence in Telecommunication market is segmented on the basis of application and region. On the basis of application, the market is segregated into Network Security, Network Optimization, Customer Analytics, Virtual Assistance, self-diagnostics and other segments. Based on region, the global Artificial Intelligence in Telecommunication market is segmented into North America, Europe, Asia-Pacific, South America, and MEA.
Analysis by application
Due to the enormous savings that customer service automation provides telecom firms, the Virtual Assistance segment is anticipated to experience the largest market share throughout the projected period. In the communication sector, customer care chatbots can also be properly educated because machine learning algorithms can automate queries and direct consumers to the best representative.
Due to the increasing need for real-time behavioral insights, the customer analytics market sector is anticipated to hold the largest share of the overall market. Operators can gather and examine customer data from the viewpoint of a subscriber thanks to artificial intelligence. Additionally, this data may be used in a variety of contexts, such as targeted advertising and subscriber-specific offers. Additionally, by making greater use of network resources, operators can optimize their networks by using this information.
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North America accounted for the largest market share and is predicted to maintain its leadership throughout the forecast years. Due to its dominance for being among the first to adopt cutting-edge technology. The expansion of the region will also be aided by the increasing number of telecom businesses that use automation and AI for network optimization and customer care. For instance, AT&T Intellectual Property introduced edge AI computing-powered mobile 5G in the United States. The AI network security solutions from CUJO LLC are being used by telecom service providers in the US to secure their networks.
Asia Pacific, on the other hand, is anticipated to have the fastest CAGR during the projection period. The quickening pace of technical development in developing nations like China and India is blamed for this expansion. For instance, China Telecom Corporation Ltd., a provider of internet access and mobile telecommunications services, collaborates with Huawei Technologies Co., Ltd., a global provider of telecoms equipment and consumer electronics. This partnership is projected to investigate wireless network cell anomaly detection based on the Network AI Engine and radio cell capacity prediction (NAIE).
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Through a variety of tactical approaches, including partnerships, M&A, and collaborations, market vendors are concentrating on growing their clientele. For instance, IBM Corp. and Vodafone Ltd. inked an outsourcing agreement. It is envisaged that this relationship will give the previous business access to a hybrid cloud-based digital platform that will facilitate better customer engagement and increase operational effectiveness. In the telecommunications industry, some of the major artificial intelligence players are:
Top Players Company Profiles
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According to our analysis, the global Artificial Intelligence in Telecommunication market is segmented based on applications and regions. Growing 5G rollouts are probably going to open up significant economic opportunities for telecom operators to provide corporations process automation services powered by edge computing and AI as well as outsourced IT services. It is anticipated that a large number of well-known telecom service providers, such as Charter Communications, AT &T, and Verizon, will spend heavily in AI.
|Market size value in Telecommunication||USD 1.2 billion|
|Market size value in 2028||USD 11.67 billion|
|Forecast Unit (Value)||USD Billion|
|Regions covered||North America (US, Canada), Europe (Germany, France, United Kingdom, Italy, Spain, Rest of Europe), Asia Pacific (China, India, Japan, Rest of Asia-Pacific), Latin America (Brazil, Rest of Latin America), Middle East & Africa (South Africa, GCC Countries, Rest of MEA)|
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Parent Market Analysis
KEY MARKET INSIGHTS
MARKET DYNAMICS & OUTLOOK
Market Size by Region
KEY COMPANY PROFILES
For the Global Artificial Intelligence In Telecommunication Market, our research methodology involved a mixture of primary and secondary data sources. Key steps involved in the research process are listed below:
1. Information Procurement: This stage involved the procurement of Market data or related information via primary and secondary sources. The various secondary sources used included various company websites, annual reports, trade databases, and paid databases such as Hoover's, Bloomberg Business, Factiva, and Avention. Our team did 45 primary interactions Globally which included several stakeholders such as manufacturers, customers, key opinion leaders, etc. Overall, information procurement was one of the most extensive stages in our research process.
2. Information Analysis: This step involved triangulation of data through bottom-up and top-down approaches to estimate and validate the total size and future estimate of the Global Artificial Intelligence In Telecommunication Market.
3. Report Formulation: The final step entailed the placement of data points in appropriate Market spaces in an attempt to deduce viable conclusions.
4. Validation & Publishing: Validation is the most important step in the process. Validation & re-validation via an intricately designed process helped us finalize data points to be used for final calculations. The final Market estimates and forecasts were then aligned and sent to our panel of industry experts for validation of data. Once the validation was done the report was sent to our Quality Assurance team to ensure adherence to style guides, consistency & design.
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