Artificial Intelligence in telecom uses software & algorithms to estimate human perception in order to analyze big data such as data consumption, call record, and use of the application to improve the customer experience. Also, AI helps the telecommunication operators to detect flaws in the network, network security, network optimization & offer virtual assistance. Moreover, AI enables the telecom industry to extract insights from their vast data sets and made it easier to manage daily business and resolve issues more efficiently and also provide improved customer service and satisfaction.
The growing adoption of AI solutions in various telecom applications is driving the market growth. The rising number of AI-enabled smartphones with a number of features such as image recognition, robust security, voice recognition and many as compared to traditional phones is boosting the growth of AI in the telecommunication market. Furthermore, to cater to complex processes or telecom services, AI provides a simpler and easier interface in telecommunication. In addition, 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. Hence, AI helps the telecom industry to reduce operational costs by minimizing the human intervention needed for network configuration and maintenance. However, the major restraint of the AI in telecommunication market is the incompatibility between telecommunication systems and AI technology. Contrarily, the increasing penetration of AI-enabled smartphones in the telecommunication industry, and the advent of 5G technology in smartphones are expected to provide major growth opportunities for the growth of the market. Since, advancements such as 5G technology in mobile and the rising need to monitor content on the tale communication network to eliminate human error from telecommunication are driving the growth of the market. For an instance, the Chinese government trying to improve its network services and telecommunication services; hence China Telecom Corporation has started a new 5G base station in Lanzhou city. Therefore, these factors are expected to provide numerous opportunities for the expansion of the AI in telecommunication market during the forecast period.
The AI in telecommunication market is segmented on the basis of component, deployment model, technology, application, and region. By component, it is segmented into solution, and service. By deployment model, it is bifurcated on-premise, and cloud. By technology, the market is divided into machine learning, natural language processing (NLP), data analytics, and others. By application, it is segmented into customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others. By region, it is analyzed across North America, Europe, Asia-Pacific and LAMEA.
The report analyzes the profiles of key players operating in the AI in telecommunication market such as AT & T, Cisco Systems, Inc., Google, LLC, IBM Corporation, Infosys Limited, Intel Corporation, Microsoft, Nuance Communications, Inc, Salesforce, Inc., and ZTE Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the AI in telecommunication industry.
The growing adoption of AI solutions in various telecom applications is driving the market growth. The rising number of AI-enabled smartphones with a number of features such as image recognition, robust security, voice recognition and many as compared to traditional phones is boosting the growth of AI in the telecommunication market. Furthermore, to cater to complex processes or telecom services, AI provides a simpler and easier interface in telecommunication. In addition, 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. Hence, AI helps the telecom industry to reduce operational costs by minimizing the human intervention needed for network configuration and maintenance. However, the major restraint of the AI in telecommunication market is the incompatibility between telecommunication systems and AI technology. Contrarily, the increasing penetration of AI-enabled smartphones in the telecommunication industry, and the advent of 5G technology in smartphones are expected to provide major growth opportunities for the growth of the market. Since, advancements such as 5G technology in mobile and the rising need to monitor content on the tale communication network to eliminate human error from telecommunication are driving the growth of the market. For an instance, the Chinese government trying to improve its network services and telecommunication services; hence China Telecom Corporation has started a new 5G base station in Lanzhou city. Therefore, these factors are expected to provide numerous opportunities for the expansion of the AI in telecommunication market during the forecast period.
The AI in telecommunication market is segmented on the basis of component, deployment model, technology, application, and region. By component, it is segmented into solution, and service. By deployment model, it is bifurcated on-premise, and cloud. By technology, the market is divided into machine learning, natural language processing (NLP), data analytics, and others. By application, it is segmented into customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others. By region, it is analyzed across North America, Europe, Asia-Pacific and LAMEA.
The report analyzes the profiles of key players operating in the AI in telecommunication market such as AT & T, Cisco Systems, Inc., Google, LLC, IBM Corporation, Infosys Limited, Intel Corporation, Microsoft, Nuance Communications, Inc, Salesforce, Inc., and ZTE Corporation. These players have adopted various strategies to increase their market penetration and strengthen their position in the AI in telecommunication industry.
Key Benefits For Stakeholders
- The study provides in-depth analysis of the global AI in telecommunication market along with the current & future trends to illustrate the imminent investment pockets.
- Information about key drivers, restrains, & opportunities and their impact analysis on the global AI in telecommunication market size are provided in the report.
- Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
- The quantitative analysis of the global AI in telecommunication market from 2022 to 2031 is provided to determine the market potential.
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Key Market Segments
By Component
- Solution
- Service
By Deployment Model
- On-Premise
- Cloud
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Data Analytics
- Others
By Application
- Customer Analytics
- Network Security
- Network Optimization
- Self-Diagnostics
- Virtual Assistance
- Others
By Region
- North America
- U.S.
- Canada
- Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
- Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
- LAMEA
- Latin America
- Middle East
- Africa
- Key Market Players
- Intel Corporation
- Nuance Communications, Inc.
- AT&T
- Infosys Limited
- ZTE Corporation
- IBM Corporation
- Google LLC
- Microsoft
- Salesforce, Inc.
- Cisco Systems, Inc.
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Table of Contents
CHAPTER 1: INTRODUCTION
CHAPTER 2: EXECUTIVE SUMMARY
CHAPTER 3: MARKET OVERVIEW
CHAPTER 4: AI IN TELECOMMUNICATION MARKET, BY COMPONENT
CHAPTER 5: AI IN TELECOMMUNICATION MARKET, BY DEPLOYMENT MODEL
CHAPTER 6: AI IN TELECOMMUNICATION MARKET, BY TECHNOLOGY
CHAPTER 7: AI IN TELECOMMUNICATION MARKET, BY APPLICATION
CHAPTER 8: AI IN TELECOMMUNICATION MARKET, BY REGION
CHAPTER 9: COMPETITIVE LANDSCAPE
CHAPTER 10: COMPANY PROFILES
List of Tables
List of Figures
Executive Summary
According to the report, the ai in telecommunication market was valued at $1.2 billion in 2021, and is estimated to reach $38.8 billion by 2031, growing at a CAGR of 41.4% from 2022 to 2031.The AI in Telecommunication Market is likely to experience a significant growth rate of 41.4% from 2022-2031 owing to increasing market demand from the IT & Telecom sector and rise in connected devices.
Artificial intelligence enables a digital computer system or a computer-controlled robot to accomplish tasks that are generally associated with human beings. The term artificial intelligence is usually referred to acknowledge computer programs and algorithms that are designed to produce human-like cognitive intelligence, such as the ability to learn from prior experiences, discover meaning, generalize, or reason. AI has allowed the telecom industry to extract insights from enormous data sets, making it easier to address issues, run daily operations more efficiently, give better customer service and satisfaction, and a lot more. Telecoms can extract significant business insights from this data using AI and machine learning, allowing them to make faster and better business choices.
Telecommunications is one of the fastest-growing industries for utilization of AI in numerous parts of their business, including further developing client experience and organization unwavering quality. Telecom organizations use AI principally for client support applications. For example, the utilization of chatbots and menial helpers to address countless help demands for establishment, upkeep, and investigating. Likewise, remote helpers scale and mechanize reactions to help claims, which further develops client experience and cuts costs of doing business. For example, Vodafone Ltd. experienced around 68% improvement in client experience after presenting its chatbot, called TOBi, for dealing with client questions.
Moreover, artificial Intelligence applications in the telecommunications industry use advanced algorithms to look for patterns within the data, enabling telecom companies to both detect and predict network anomalies, which allows them to proactively fix problems before customers are negatively impacted. This is how AI is reshaping the telecom industry.
However, the major restraint of the AI in telecommunication market is the incompatibility between telecommunication systems and AI technology. Contrarily, the increasing penetration of AI-enabled smartphones in the telecommunication industry, and the advent of 5G technology in smartphones are expected to provide major growth opportunities for the growth of the market. Since advancements such as 5G technology in mobile and the rising need to monitor content on the tale communication network to eliminate human error from telecommunication are driving the growth of the market. For an instance, the Chinese government trying to improve its network services and telecommunication services; hence China Telecom Corporation has started a new 5G base station in Lanzhou city. Therefore, these factors are expected to provide numerous opportunities for the expansion of the AI in telecommunication market during the forecast period.
The AI in telecommunication market is segmented on the basis of component, deployment model, technology, application, and region. By component, it is segmented into solution, and service. By deployment model, it is bifurcated on-premise, and cloud. By technology, the market is divided into machine learning, natural language processing (NLP), data analytics, and others. By application, it is segmented into customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others. Region wise, it is analyzed across North America (the U.S., and Canada), Europe (the UK, Germany, France, Italy, Spain, and rest of Europe), Asia-Pacific (China, India, Japan, Australia, South Korea and rest of Asia-Pacific), and LAMEA (Latin America, Middle East and Africa).
The key players profiled in the study include AT&T, Cisco Systems, Inc., Google, LLC, IBM Corporation, Infosys Limited, Intel Corporation, Microsoft, Nuance Communications, Inc, Salesforce, Inc., and ZTE Corporation. The players in the market have been actively engaged in the adoption various strategies such as acquisition, product launch and partnership to remain competitive and gain advantage over the competitors in the market. For instance, in May 2021, Nokia launched AVA Telco AI as a Service, which provides cloud-based artificial intelligence solutions and allows communication service providers (CSP) to automate capacity planning, network management, and service assurance.
Key Market Insights
By component, the solution segment was the highest revenue contributor to the market, and is estimated to reach $22.64 billion by 2031, with a CAGR of 39.4%. However, the services segment is estimated to be the fastest growing segment with the CAGR of 44.9% during the forecast period.By deployment mode, the on-premise segment was the highest revenue contributor to the market, and is estimated to reach $19.48 billion by 2031, with a CAGR of 39.3%.
By technology, the machine learning segment was the highest revenue contributor to the market, and is estimated to reach $14.49 billion by 2031, with a CAGR of 38.8%.
By application, the customer analytics segment dominated the global market, and is estimated to reach $9.38 billion by 2031, with a CAGR of 38.0%. However, the self-diagnostics segment is expected to be the fastest growing segment during the AI in telecommunication market forecast.
Based on region, North America was the highest revenue contributor, accounting for $ 455.51 million in 2021, and is estimated to reach $10.66 billion by 2031, with a CAGR of 37.3%.
Companies Mentioned
- Intel Corporation
- Nuance Communications, Inc.
- AT&T
- Infosys Limited
- ZTE Corporation
- IBM Corporation
- Google LLC
- Microsoft
- Salesforce, Inc.
- Cisco Systems, Inc.
Methodology
The analyst offers exhaustive research and analysis based on a wide variety of factual inputs, which largely include interviews with industry participants, reliable statistics, and regional intelligence. The in-house industry experts play an instrumental role in designing analytic tools and models, tailored to the requirements of a particular industry segment. The primary research efforts include reaching out participants through mail, tele-conversations, referrals, professional networks, and face-to-face interactions.
They are also in professional corporate relations with various companies that allow them greater flexibility for reaching out to industry participants and commentators for interviews and discussions.
They also refer to a broad array of industry sources for their secondary research, which typically include; however, not limited to:
- Company SEC filings, annual reports, company websites, broker & financial reports, and investor presentations for competitive scenario and shape of the industry
- Scientific and technical writings for product information and related preemptions
- Regional government and statistical databases for macro analysis
- Authentic news articles and other related releases for market evaluation
- Internal and external proprietary databases, key market indicators, and relevant press releases for market estimates and forecast
Furthermore, the accuracy of the data will be analyzed and validated by conducting additional primaries with various industry experts and KOLs. They also provide robust post-sales support to clients.
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