The global AI in telecommunication market size was valued at USD 1.45 billion in 2022 and is anticipated to grow at a compound annual growth rate (CAGR) of 28.2% from 2023 to 2030. Telecommunications is one of the fastest-growing industries that use artificial intelligence (AI) in many aspects of their business, including improving customer experience and network reliability. Telecom companies use AI primarily for customer service applications. For instance, chatbots and virtual assistants address many installation, maintenance, and troubleshooting support requests. Also, virtual assistants scale and automate responses to support claims, improving customer experience and reducing business expenses. For instance, Vodafone Ltd. experienced about 68% improvement in customer experience after introducing its TOBi chatbot for handling customer queries.
By implementing AI and automation, telecom companies can reduce operational costs while improving the customer experience. Artificial intelligence has already helped the core of the telecommunication business, with machines doing human tasks, such as deciding the route traffic by reading network content. It also helps in building the self-optimizing network, which can structure the system based on existing conditions per the limits set by the respective designer. It supports network operations to detect issues, such as Service-Level Agreement (SLA) breaches, and diagnose the root causes.
Furthermore, growing Over-The-Top (OTT) services, such as video streaming, have transformed the dissemination and consumption of audio and video content. With more consumers turning to OTT services, consumer demand for bandwidth has grown considerably. Carrying such ever-growing traffic from OTT services leads to high operational Expenditure (OpEx) for the telecommunication industry. AI helps the telecom industry to reduce operational costs by minimizing the human intervention needed for network configuration and maintenance. Also, automation enables telecom companies to onboard customers faster while introducing new services in a shorter time.
The telecom industry is transitioning from the fourth generation (4G) to the fifth generation (5G) of mobile communications. 5G technology is expected to provide higher data transmission rates with ultra-low latency rates. Telecom companies are working to build an infrastructure supporting every vertical controlled by the Internet of Things (IoT). For instance, in March 2020, Google collaborated with AT&T Intellectual Property to help enterprises leverage Google Cloud’s technologies using the 5G network connectivity. Both companies are developing 5G solutions by combining the 5G network capabilities of AT&T Intellectual Property and Google Cloud’s capabilities in analytics, AI/machine learning, and networking.
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Application Insights
Based on application, the market has been segmented into network security, network optimization, customer analytics, virtual assistance, self-diagnostics, and others. The customer analytics segment held the largest revenue share of 28.2% in 2022. The market growth of this segment is attributed to the growing need for real-time behavioral insights. Artificial intelligence enables operators to collect and analyze the customer's data from a subscriber's intelligencer perspective. This information can be further utilized in several scenarios, such as advertisements and personalized offers for the subscriber. Also, operators can use this information to achieve network optimization with better utilization of network resources.
Regional Insights
North America dominated the market and accounted for the largest revenue share of 34.8% in 2022. Moreover, a growing number of telecom companies using automation and AI for customer service and network optimization purposes are expected to support the region’s growth. One of the significant drivers of growth in the North American segment is the presence of advanced telecommunications infrastructure. The region has robust network connectivity, including high-speed internet and widespread coverage, which creates a favorable environment for implementing AI solutions.
Post-COVID-19 pandemic, European telecom operators are observed to be prioritizing investments in AI to make more data-informed decisions. According to a report published by European Telecommunications Network Operators’ Association (ETNO) in February 2022, Europe recorded its highest investment in 5G and Fiber to the home (FTTH) network generating a capital expenditure (Capex) of approximately 72.21 billion in 2020. Significant investments will likely boost artificial intelligence (AI) adoption across the European telecom industry. On the contrary, the European telecom industry is highly regulated, likely leading to steady market growth across the region.
Key AI In Telecommunication Companies:
- IBM Corporation
- Microsoft
- Intel Corporation
- Google LLC
- AT&T Intellectual Property
- Cisco Systems, Inc.
- Nuance Communications, Inc.
- Evolv Technologies Holdings Inc.
- ai.
- Infosys Limited
- Salesforce, Inc.
- NVIDIA Corporation
Gather more insights about the market drivers, restrains and growth of the AI In Telecommunication Market
According to a new market research report "AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, and Region - Global Forecast to 2022", published by MarketsandMarkets™, the Artificial Intelligence in telecommunication market to grow from $365.8 Million in 2017 to $2,497.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 46.8% during the forecast period.Increasing adoption of AI for various applications in the telecommunication industry and utilization of AI-enabled smartphones are expected to be driving the growth of the AI in telecommunication market.Browse in-depth TOC on "AI in Telecommunication Market"77- Tables 54- Figures134- PagesDownload PDF Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=130504876NLP technology is expected to grow at the highest CAGR during the forecast periodIn the AI in telecommunication market, the Natural Language Processing (NLP) technology is used to collect, analyze, and visualize customer-related data, such as responses to particular product and service.
NLP is used to understand the human language via virtual chat bots.
The use of the NLP technology in the telecommunication system has increased, which helps in offering 24/7 services to customers.Cloud deployment mode is expected to have the largest market size during the forecast periodOn the basis of deployment modes, the AI in telecommunication market is segmented into cloud and on-premises.
The adoption of the cloud deployment mode is growing rapidly, as organizations are focusing on planning cost-effective services, such as training programs.APAC is expected to grow at the highest CAGR during the forecast periodIn the Asia Pacific (APAC) region, global as well as domestic enterprises are investing in the AI in telecommunication technology.
Moreover, the government is also investing in the AI in telecommunication technology for offering better telecommunication services to citizens.Speak to Research Expert @ https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=130504876The AI in telecommunication market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies.
The major AI in telecommunication vendors include IBM (US), Microsoft (US), Intel (US), Google (US), AT (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.
AI in Telecommunication Market report by MarketsandMarkets™ provides well-organized statistical overview on the basis of trends, market share, applications, growth factors & forecastAccording to a new market research report "AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, and Region - Global Forecast to 2022" published by MarketsandMarkets™, the AI in Telecommunication Market to grow from USD 365.8 Million in 2017 to USD 2,497.8 Million by 2022, at a Compound Annual Growth Rate (CAGR) of 46.8% during the forecast period.
Increasing adoption of AI for various applications in the telecommunication industry and utilization of AI-enabled smartphones are expected to be driving the growth of the AI in Telecommunication Market.Browse in-depth TOC on "AI in Telecommunication Market”77- Tables 54- Figures134- PagesNLP technology is expected to grow at the highest CAGR during the forecast periodIn the AI in telecommunication industry, the Natural Language Processing (NLP) technology is used to collect, analyze, and visualize customer-related data, such as responses to particular product and service.
The use of the NLP technology in the telecommunication system has increased, which helps in offering 24/7 services to customers.Request Report Brochure @ https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=130504876Cloud deployment mode is expected to have the largest market size during the forecast periodOn the basis of deployment modes, the AI in Telecommunication Market is segmented into cloud and on-premises.
The adoption of the cloud deployment mode is growing rapidly, as organizations are focusing on planning cost-effective services, such as training programs.APAC is expected to grow at the highest CAGR during the forecast periodIn the Asia Pacific (APAC) region, global as well as domestic enterprises are investing in the AI in telecommunication technology.
Moreover, the government is also investing in the AI in telecommunication technology for offering better telecommunication services to citizens.The AI in Telecommunication Market report encompasses the competitive landscape and company profiles of the key vendors based on their product offerings and business strategies.
The major AI in telecommunication vendors include IBM (US), Microsoft (US), Intel (US), Google (US), AT (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).About MarketsandMarkets™MarketsandMarkets™ provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies’ revenues.
The global AI in telecommunication is growing continually.
AI in telecommunication enables intelligent decision making to manage dynamic network traffic & resources and brings automation in the industry, allowing reduced operational cost and increased efficiency.
Additionally, the rising need for strategy and tools to collect and analyze a large amount of data among telecom service providers to provide attractive services and improve customer retention creates substantial market demand.
This data helps to get insights into network performance, helping to reduce customer churn and increase profitability.Furthermore, other data sources, such as user call reports and network data, increase the global AI in telecommunication market size.
Get a Free Sample @ https://www.marketresearchfuture.com/sample_request/6803AI in Telecommunication Market - SegmentsThe report is segmented into five dynamics;By Component : Solutions (network optimization, network security, SDN (software-defined network) & NFV (network function virtualization), others) and Services (professional and managed services).By Deployment : On-Premise and On-Cloud.By Technology : Machine Learning (ML), Deep Learning (DL), and Natural Language Processing (NLP), and others.By Application : Traffic Classification, Resource Utilization & Network Optimization, Anomaly Detection, Predictive Maintenance, Network Orchestration, and others.By Regions : Americas, Europe, Asia Pacific, and the Rest-of-the-World.
AI in Telecommunication Market - Regional AnalysisNorth America dominates the global AI in telecommunication market.
The latest trending report Global AI In Telecommunication Market 2020 by Manufacturers, Regions, Type and Application, Forecast to 2025 offered by DecisionDatabases.com is an informative study covering the market with detailed analysis.
The report will assist reader with better understanding and decision making.The AI In Telecommunication market report provides a detailed analysis of global market size, regional and country-level market size, segmentation market growth, market share, competitive Landscape, sales analysis, impact of domestic and global market players, value chain optimization, trade regulations, recent developments, opportunities analysis, strategic market growth analysis, product launches, area marketplace expanding, and technological innovations.The global AI In Telecommunication market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 47.7%% in the forecast period of 2020 to 2025 and will expected to reach USD 3784.1 million by 2025, from USD 795.4 million in 2019.Final Report will cover the impact of COVID-19 on this industry.Browse the complete report and table of contents @ https://www.decisiondatabases.com/ip/25827-ai-in-telecommunication-market-analysis-reportThe major players covered in AI In Telecommunication are:IBMSentient TechnologiesGoogleMicrosoftNuance CommunicationsIntelInfosysCisco SystemsATH2O.aiSalesforceNvidiaBy Type, AI In Telecommunication market has been segmented into:Machine Learning and Deep LearningNatural Language ProcessingBy Application, AI In Telecommunication has been segmented into:Customer AnalyticsNetwork SecurityNetwork OptimizationSelf-DiagnosticsVirtual AssistanceOthersThe report offers in-depth assessment of the growth and other aspects of the AI In Telecommunication market in important countries (regions), including:North America (United States, Canada and Mexico)Europe (Germany, France, UK, Russia and Italy)Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia)South America (Brazil, Argentina, Colombia)Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria and South Africa)Download Free Sample Report of Global AI In Telecommunication Market @ https://www.decisiondatabases.com/contact/download-sample-25827There are 14 Chapters to deeply display the Global AI In Telecommunication market.1 AI In Telecommunication Market Overview2 Company Profiles3 Market Competition by Players4 Market Size by Regions5 North America AI In Telecommunication Revenue by Countries6 Europe AI In Telecommunication Revenue by Countries7 Asia-Pacific AI In Telecommunication Revenue by Countries8 South America AI In Telecommunication Revenue by Countries9 Middle East & Africa Revenue AI In Telecommunication by Countries10 Market Size Segment by Type11 Global AI In Telecommunication Market Segment by Application12 Global AI In Telecommunication Market Size Forecast (2021-2025)13 Research Findings and Conclusion14 AppendixPurchase the complete Global AI In Telecommunication Market Research Report @ https://www.decisiondatabases.com/contact/buy-now-25827Other Reports by DecisionDatabases.com @Global B2B Telecommunication Market 2020 by Company, Regions, Type and Application, Forecast to 2025Global Rich Communication Services Market 2020 by Company, Regions, Type and Application, Forecast to 2025Global Military Communications Market 2020 by Company, Regions, Type and Application, Forecast to 2025Global Automotive V2X Communication Market 2020 by Company, Regions, Type and Application, Forecast to 2025About-Us:DecisionDatabases.com is a global business research report provider, enriching decision makers and strategists with qualitative statistics.
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