Artificial Intelligence In Telecommunication Market Size, Share, Growth Analysis, By Application(Network Security, Network Optimization, Customer Analytics, Virtual Assistance), By Region - Industry Forecast 2024-2031


Report ID: SQSG45H2012 | Region: Global | Published Date: February, 2024
Pages: 165 |Tables: 39 |Figures: 74

Artificial Intelligence In Telecommunication Market Insights

Global Artificial Intelligence In Telecommunication Market size was valued at USD 0.59 billion in 2019 and is poised to grow from USD 0.85 billion in 2023 to USD 10.4 billion by 2031, growing at a CAGR of 43.1% in the forecast period (2024-2031).

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.

US Artificial Intelligence In Telecommunication Market is poised to grow at a sustainable CAGR for the next forecast year.

Market Snapshot - 2024-2031

Global Market Size

USD 0.59 billion

Largest Segment

Virtual Assistance

Fastest Growth

Virtual Assistance

Growth Rate

43.1% CAGR

Global Artificial Intelligence in Telecommunication Market 2022-2028 ($ Bn)
Country Share for North America Region- 2021 (%)

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Artificial Intelligence In Telecommunication Market Segmental Analysis

The global Artificial Intelligence in Telecommunication market is segmented on the basis of application and region. On the basis of application, the Artificial Intelligence in Telecommunication 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.

Artificial Intelligence in Telecommunication Market 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.

Global Artificial Intelligence in Telecommunication Market By Application, 2021 (%)

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Artificial Intelligence In Telecommunication Market Regional Insights

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).

Global Artificial Intelligence in Telecommunication Market By Geography, 2022-2028
  • Largest
  • Fastest

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Artificial Intelligence In Telecommunication Market Dynamics

Artificial Intelligence in Telecommunication Market Driver

  • Some of the important areas that service providers want to concentrate on while using artificial intelligence and preparing their networks for the move to 5G technology are lowering operating costs and increasing returns on network investments. The growth of artificial intelligence in the telecommunications market will accelerate during the projection period due to its widespread usage for better network performance management.
  • The demand for widespread AI adoption is increasing quickly due to the growth of OTT platforms and the changing nature of audio and video content. The need for greater bandwidth increases as more customers switch to OTT platforms, driving up operational expenses for telecommunications firms. By reducing the need for human intervention in network configuration and maintenance, AI can assist in lowering these operational expenses. Automation can also help businesses reach out to more clients more quickly and offer new services more quickly. As a result, during the projection period, there will be an increase in demand for AI in the telecom industry.

Artificial Intelligence in Telecommunication Market Restraint 

  • Artificial intelligence can support rapid and effective fraud detection. As a result, AI is increasingly being used for fraud analytics across numerous industries, including telecom. If AI notices any suspicious activity, it has the ability to completely block that person or service, preventing the action from developing into a fraud. During the projected period, increasing cyberattacks on enterprises and the growing demand for self-optimizing networks will further boost the expansion of artificial intelligence in the telecommunications market.

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Artificial Intelligence In Telecommunication Market Competitive Landscape

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:

Artificial Intelligence in Telecommunication Market Top Players Company Profiles

  • IBM Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Google Inc.
  • Huawei Technologies Co. Ltd.
  • Infosys Limited
  • Cisco Systems Inc.
  • Nokia Corporation
  • Salesforce.com Inc.
  • Amazon Web Services Inc.
  • AT&T Inc.
  • H2O.ai
  • NVIDIA Corporation
  • Wipro Limited
  • Ericsson AB
  • Baidu Inc.
  • Orange Business Services
  • NEC Corporation
  • Verizon Communications Inc.
  • Ciena Corporation

Artificial Intelligence in Telecommunication Market Recent Developments

  • In May 2021, the cloud-based artificial intelligence solutions offered by Nokia's AVA Telco AI as a Service enable communication service providers (CSP) to automate capacity planning, network management, and service assurance.

Artificial Intelligence In Telecommunication Key Market Trends

  • Governments all over the world are accelerating the rollout of 5G because they recognise how important it is for the digital transformation and want to drive automation and AI in the telecom sector. The Internet of Things (IoT), which is powered by edge computing and AI, and digital transformation are likely to be fueled by fifth-generation technologies across the wireless communication industry. The adoption of AI in the telecom business is probably driven by rising consumer demand for better services and a smooth customer experience.

Artificial Intelligence In Telecommunication Market SkyQuest Analysis

SkyQuest’s ABIRAW (Advanced Business Intelligence, Research & Analysis Wing) is our Business Information Services team that Collects, Collates, Co-relates and Analyses the Data collected by means of Primary Exploratory Research backed by the robust Secondary Desk research.

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.

Report Metric Details
Market size value in 2019 USD 0.59 billion
Market size value in 2031 USD 10.4 billion
Growth Rate 43.1%
Base year 2023
Forecast period 2024-2031
Forecast Unit (Value) USD Billion
Segments covered
  • Application
    • Network Security, Network Optimization, Customer Analytics, Virtual Assistance, Self-Diagnostics, Others
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)
Companies covered
  • IBM Corporation
  • Microsoft Corporation
  • Intel Corporation
  • Google Inc.
  • Huawei Technologies Co. Ltd.
  • Infosys Limited
  • Cisco Systems Inc.
  • Nokia Corporation
  • Salesforce.com Inc.
  • Amazon Web Services Inc.
  • AT&T Inc.
  • H2O.ai
  • NVIDIA Corporation
  • Wipro Limited
  • Ericsson AB
  • Baidu Inc.
  • Orange Business Services
  • NEC Corporation
  • Verizon Communications Inc.
  • Ciena Corporation
Customization scope

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  • Segments by type, application, etc
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Table Of Content

Executive Summary

Market overview

  • Exhibit: Executive Summary – Chart on Market Overview
  • Exhibit: Executive Summary – Data Table on Market Overview
  • Exhibit: Executive Summary – Chart on Artificial Intelligence In Telecommunication Market Characteristics
  • Exhibit: Executive Summary – Chart on Market by Geography
  • Exhibit: Executive Summary – Chart on Market Segmentation
  • Exhibit: Executive Summary – Chart on Incremental Growth
  • Exhibit: Executive Summary – Data Table on Incremental Growth
  • Exhibit: Executive Summary – Chart on Vendor Market Positioning

Parent Market Analysis

Market overview

Market size

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • SWOT Analysis

KEY MARKET INSIGHTS

  • Technology Analysis
    • (Exhibit: Data Table: Name of technology and details)
  • Pricing Analysis
    • (Exhibit: Data Table: Name of technology and pricing details)
  • Supply Chain Analysis
    • (Exhibit: Detailed Supply Chain Presentation)
  • Value Chain Analysis
    • (Exhibit: Detailed Value Chain Presentation)
  • Ecosystem Of the Market
    • Exhibit: Parent Market Ecosystem Market Analysis
    • Exhibit: Market Characteristics of Parent Market
  • IP Analysis
    • (Exhibit: Data Table: Name of product/technology, patents filed, inventor/company name, acquiring firm)
  • Trade Analysis
    • (Exhibit: Data Table: Import and Export data details)
  • Startup Analysis
    • (Exhibit: Data Table: Emerging startups details)
  • Raw Material Analysis
    • (Exhibit: Data Table: Mapping of key raw materials)
  • Innovation Matrix
    • (Exhibit: Positioning Matrix: Mapping of new and existing technologies)
  • Pipeline product Analysis
    • (Exhibit: Data Table: Name of companies and pipeline products, regional mapping)
  • Macroeconomic Indicators

COVID IMPACT

  • Introduction
  • Impact On Economy—scenario Assessment
    • Exhibit: Data on GDP - Year-over-year growth 2016-2022 (%)
  • Revised Market Size
    • Exhibit: Data Table on Artificial Intelligence In Telecommunication Market size and forecast 2021-2027 ($ million)
  • Impact Of COVID On Key Segments
    • Exhibit: Data Table on Segment Market size and forecast 2021-2027 ($ million)
  • COVID Strategies By Company
    • Exhibit: Analysis on key strategies adopted by companies

MARKET DYNAMICS & OUTLOOK

  • Market Dynamics
    • Exhibit: Impact analysis of DROC, 2021
      • Drivers
      • Opportunities
      • Restraints
      • Challenges
  • Regulatory Landscape
    • Exhibit: Data Table on regulation from different region
  • SWOT Analysis
  • Porters Analysis
    • Competitive rivalry
      • Exhibit: Competitive rivalry Impact of key factors, 2021
    • Threat of substitute products
      • Exhibit: Threat of Substitute Products Impact of key factors, 2021
    • Bargaining power of buyers
      • Exhibit: buyers bargaining power Impact of key factors, 2021
    • Threat of new entrants
      • Exhibit: Threat of new entrants Impact of key factors, 2021
    • Bargaining power of suppliers
      • Exhibit: Threat of suppliers bargaining power Impact of key factors, 2021
  • Skyquest special insights on future disruptions
    • Political Impact
    • Economic impact
    • Social Impact
    • Technical Impact
    • Environmental Impact
    • Legal Impact

Market Size by Region

  • Chart on Market share by geography 2021-2027 (%)
  • Data Table on Market share by geography 2021-2027(%)
  • North America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • USA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Canada
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Europe
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Germany
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Spain
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • France
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • UK
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Europe
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Asia Pacific
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • China
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • India
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Japan
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Korea
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of Asia Pacific
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Latin America
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • Brazil
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of South America
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
  • Middle East & Africa (MEA)
    • Chart on Market share by country 2021-2027 (%)
    • Data Table on Market share by country 2021-2027(%)
    • GCC Countries
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • South Africa
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)
    • Rest of MEA
      • Exhibit: Chart on Market share 2021-2027 (%)
      • Exhibit: Market size and forecast 2021-2027 ($ million)

KEY COMPANY PROFILES

  • Competitive Landscape
    • Total number of companies covered
      • Exhibit: companies covered in the report, 2021
    • Top companies market positioning
      • Exhibit: company positioning matrix, 2021
    • Top companies market Share
      • Exhibit: Pie chart analysis on company market share, 2021(%)

Methodology

For the 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 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.

Analyst Support

Customization Options

With the given market data, our dedicated team of analysts can offer you the following customization options are available for the Artificial Intelligence In Telecommunication Market:

Product Analysis: Product matrix, which offers a detailed comparison of the product portfolio of companies.

Regional Analysis: Further analysis of the Artificial Intelligence In Telecommunication Market for additional countries.

Competitive Analysis: Detailed analysis and profiling of additional Market players & comparative analysis of competitive products.

Go to Market Strategy: Find the high-growth channels to invest your marketing efforts and increase your customer base.

Innovation Mapping: Identify racial solutions and innovation, connected to deep ecosystems of innovators, start-ups, academics, and strategic partners.

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FAQs

Artificial Intelligence In Telecommunication Market size was valued at USD 0.59 billion in 2019 and is poised to grow from USD 0.85 billion in 2023 to USD 10.4 billion by 2031, growing at a CAGR of 43.1% in the forecast period (2024-2031).

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: 'IBM Corporation', 'Microsoft Corporation', 'Intel Corporation', 'Google Inc.', 'Huawei Technologies Co. Ltd.', 'Infosys Limited', 'Cisco Systems Inc.', 'Nokia Corporation', 'Salesforce.com Inc.', 'Amazon Web Services Inc.', 'AT&T Inc.', 'H2O.ai', 'NVIDIA Corporation', 'Wipro Limited', 'Ericsson AB', 'Baidu Inc.', 'Orange Business Services', 'NEC Corporation', 'Verizon Communications Inc.', 'Ciena Corporation'

Some of the important areas that service providers want to concentrate on while using artificial intelligence and preparing their networks for the move to 5G technology are lowering operating costs and increasing returns on network investments. The growth of artificial intelligence in the telecommunications market will accelerate during the projection period due to its widespread usage for better network performance management.

Governments all over the world are accelerating the rollout of 5G because they recognise how important it is for the digital transformation and want to drive automation and AI in the telecom sector. The Internet of Things (IoT), which is powered by edge computing and AI, and digital transformation are likely to be fueled by fifth-generation technologies across the wireless communication industry. The adoption of AI in the telecom business is probably driven by rising consumer demand for better services and a smooth customer experience.

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.

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