The Global AI in Telecommunication Market size is expected to reach $10 billion by 2028, rising at a market growth of 37.4% CAGR during the forecast period.
One of the sectors with the greatest growth rate is telecommunications, which uses AI to enhance customer satisfaction and network stability, among other areas of its operations. AI is predominantly used by telecom corporations for customer service-related applications. For instance, chatbots and virtual assistants are used to handle a sizable volume of installation, maintenance, and troubleshooting support queries. Virtual assistants also scale or automate responses to back up claims, enhancing customer satisfaction and lowering costs for the company.
To evaluate massive data, such as data consumption, call records, and application usage, to improve the customer experience, artificial intelligence in telecom uses software & algorithms to predict human perception. Moreover, AI assists telecommunications companies with network security, network optimization, and virtual assistance. Also, AI has made it simpler for the telecom sector to manage everyday operations, address problems more effectively, and increase customer happiness. This allows them to draw insights from their enormous data sets.
The telecom sector can now more easily manage everyday operations, address problems more quickly, and increase customer happiness and service by using artificial intelligence to pull insights from their massive data sets. Artificial intelligence is a cutting-edge technology that can make decisions like human intellect. This technology aims to develop an intelligent machine with features including visual recognition,speech recognition,picture identification, and language translation that are responsible for driving market expansion. Moreover, technology can alter how certain industrial sectors, particularly telecommunications, function and operate. As a result, it offers a wide range of potential applications in telecommunications, including customer service and network performance.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI in Telecommunication Market. Companies such as Cisco Systems, Inc., Intel Corporation and NVIDIA Corporation are some of the key innovators in AI in Telecommunication Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, AT&T, Inc., IBM Corporation, Infosys Limited, Intel Corporation, Microsoft Corporation, Salesforce.com, Inc., ZTE Corporation, Google LLC (Alphabet, Inc.), and Cisco Systems, Inc.
One of the sectors with the greatest growth rate is telecommunications, which uses AI to enhance customer satisfaction and network stability, among other areas of its operations. AI is predominantly used by telecom corporations for customer service-related applications. For instance, chatbots and virtual assistants are used to handle a sizable volume of installation, maintenance, and troubleshooting support queries. Virtual assistants also scale or automate responses to back up claims, enhancing customer satisfaction and lowering costs for the company.
To evaluate massive data, such as data consumption, call records, and application usage, to improve the customer experience, artificial intelligence in telecom uses software & algorithms to predict human perception. Moreover, AI assists telecommunications companies with network security, network optimization, and virtual assistance. Also, AI has made it simpler for the telecom sector to manage everyday operations, address problems more effectively, and increase customer happiness. This allows them to draw insights from their enormous data sets.
The telecom sector can now more easily manage everyday operations, address problems more quickly, and increase customer happiness and service by using artificial intelligence to pull insights from their massive data sets. Artificial intelligence is a cutting-edge technology that can make decisions like human intellect. This technology aims to develop an intelligent machine with features including visual recognition,speech recognition,picture identification, and language translation that are responsible for driving market expansion. Moreover, technology can alter how certain industrial sectors, particularly telecommunications, function and operate. As a result, it offers a wide range of potential applications in telecommunications, including customer service and network performance.
COVID-19 Impact Analysis
During the COVID-19 outbreak, the demand for remote operating tools, including artificial intelligence tools, grew steadily due to substantially increasing digital penetration andinduced lockdowns and strict social distancing policies. In addition, the COVID-19 pandemic has underlined the importance of telecommunications infrastructure in maintaining businesses, governments, and communities connected and operational. It also helped create fixed-line and mobile network packages integrating VPN, teleconferencing, and productivity tools. As a result of the fact that commercial clients' use of telecommunication services has changed from offices to residences and from field demand to fixed-line demand, these bundles would be particularly appealing to them. Hence, these factors contributed to the expansion of artificial intelligence in telecommunication market over the pandemic period.Market Growth Factors
Increased acceptance of AI solutions in several telecom applications
The need for artificial intelligence in the telecommunication marketis growing as a result of the fact that AI enables telecommunication businesses to identify problems quickly. The majority of effort spent maintaining a network is spent trying to identify the location of the first spot that will require maintenance. Because AI is now readily available, it has become much less difficult. In addition, the Internet of Things (IoT) is being utilized by telecommunications businesses, which is accelerating the incorporation of AI into this industry. As a result, the expansion of the use of AI-based solutions across a wide variety of telecom applications is driving the expansion of the market for AI in telecommunication.Grown penetration of 5G technology in smartphones
The market is expanding as a result of innovations such as mobile 5G technology and the growing requirement to monitor material on the public communication network to eradicate human error from telecommunication. For instance, China Telecom Company has built a new 5G base station in Lanzhou city as part of the Chinese government's efforts to improve its network and telecommunication services. Thus, over the projection period, the introduction of 5G technology is anticipated to present a wide range of prospects for expanding AI in the telecommunications market.
Market Restraining Factors
Lack of Resources
The absence of tools for AI applications in the telecom industry is one of the major problems. It's true that the need for new tools is driven by applications with high demands. It makes sense that one would need to upgrade existing tools to acquire new skills and overcome unimaginable problems. With the industry's substantial advancements in understanding the principles of AI applications, these new tools can be created. However, the adoption of AI in telecommunicationsmay be constrained by this lack of resources.Component Outlook
Based on component, the AI in telecommunication market is segmented into solution and service. The service segment covered a considerable revenue share in the AI in the telecommunication market in 2021. The segment's growth can be attributed to the increased awareness of the benefits and capabilities of AI technology in the telecommunications industry among telecom companies. In addition, the increasing use of AI in various applications within the telecommunications industry is fueling the expansion of the service segment.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
Deployment Model Outlook
On the basis of deployment model, the AI in telecommunication market is divided into on-premise, and cloud. In 2021, the on-premise segment witnessed the largest revenue share in the AI in telecommunication market. Many global telecom businesses are developing AI algorithms and leveraging their capabilities. For telecommunications businesses, expanding the business while simultaneously ensuring data security is a formidable challenge. Deployment of AI is thus becoming necessary in the sector, thereby supporting the segment's growth.Technology Outlook
By technology, the AI in telecommunication market is classified into machine learning, natural language processing (NLP), data analytics, and others. The natural language processing (NLP) segment recorded a remarkable revenue share in the AI in the telecommunication market in 2021. The segment’s expansion is attributable to the utilization of NLP technology to interpret the information stored in digital format and to comprehend human languages from numerous data sets in the telecommunications industry.Application Outlook
Based on application, the AI in telecommunication market is categorized into customer analytics, network security, network optimization, self-diagnostics, virtual assistance and others. In 2021, the customer analytics segment garnered a significant revenue share in the AI in the telecommunication market. This is because the need for real-time behavioral insights is increasing. Artificial intelligence allows operators to collect and evaluate client data from the perspective of subscriber intelligence. This information can be used in a variety of scenarios, including advertising and personalized offers for the subscriber. In addition, operators can utilize this data to optimize their networks and make better use of their resources.Regional Outlook
Region wise, the AI in telecommunication market is analyzed across North America, Europe, Asia Pacific and LAMEA. In 2021, the North America region led AI in the telecommunication market by generating maximum revenue share. This is due to the region's rapidly evolving technology and communications industry, which is anticipated to boost the market for artificial intelligence in telecommunications throughout the forecast period. The AI in the telecommunications market in Asia-Pacific is estimated to grow significantly over the forecast period due to the region's expanding digital capabilities and highly competitive market landscape.The Cardinal Matrix - AI in Telecommunication Market Competition Analysis
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the AI in Telecommunication Market. Companies such as Cisco Systems, Inc., Intel Corporation and NVIDIA Corporation are some of the key innovators in AI in Telecommunication Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include NVIDIA Corporation, AT&T, Inc., IBM Corporation, Infosys Limited, Intel Corporation, Microsoft Corporation, Salesforce.com, Inc., ZTE Corporation, Google LLC (Alphabet, Inc.), and Cisco Systems, Inc.
Strategies Deployed in AI in Telecommunication Market
Partnerships, Collaborations and Agreements:
- Feb-2023: Google entered into a partnership with Anthropic, an AI-based startup to develop reliable and Credible AI systems. This partnership would enable Google to utilize Anthropic capabilities in providing cloud-driven solutions and integrate with Google's expertise in the training and deployment of AI systems, to build AI-enabled systems.
- Jan-2023: Microsoft formed a partnership with Tech Mahindra, a digital transformation, consulting, and business re-engineering services provider, to allow cloud-powered 5G core network modernization for telecom operators. The 5G core network transformation would support telecom operators in building 5G core use cases and fulfilling their customers' rising Augmented Reality (AR), Virtual Reality (VR), IoT (Internet of Things), and edge computing demands. With this partnership, Tech Mahindra's capabilities in providing its all-inclusive solutions, managed services, and expertise would be integrated with Microsoft Azure, enabling telecom operators to cut cost, and utilize AI to automate operations.
- Jan-2023: Microsoft expanded its partnership with OpenAI, an artificial intelligence company, for making the advancement in AI. With this expansion, Microsoft's expertise in providing AI-driven solutions and OpenAI's research on AI Alignment would be combined to build an advanced framework for the secure deployment of Microsoft's AI technologies.
- Oct-2022: Google came into partnership with Accenture, an IT company, for the production of new solutions utilizing data and AI, and for providing aid to clients in creating a strong digital core and driving the use of the cloud. With this partnership, Google's capabilities in offering ML and AI-based solutions would be integrated with Accenture's expertise in offering technological solutions, to develop new solutions that would provide aid to clients in creating a strong digital core and drive the power of the cloud.
- Jul-2022: Google entered into a partnership with Deutsche Telekom, a German telecommunications company, to empower telecommunication companies in integrating mobile and connected devices with the cloud. Through this partnership, Deutsche Telekom's capabilities in Network Infrastructure would be utilized to work in the domains namely Core Network Services, Network Analytics, and Customer Experience Analytics, enabling Google to offer cloud-native solutions that would accelerate the deployment of network functions and automation.
- May-2021: Google came into partnership with Anthropic, an AI-based startup to develop Google-released Vertex AI, a machine learning (ML) platform, enabling enterprises to advance the deployment and management of AI models. Vertex AI needs fewer lines of code, as compared to competitive platforms, required for the training of models. With Vertex AI, data scientists, and ML engineers would be able to apply Machine Learning Operations (MLOps) to efficiently develop and operate ML projects all over the entire development lifecycle.
Product Launches and Product Expansions:
- May-2022: Intel announced revealed a chip Gaudi2, a second-generation processor developed for artificial intelligence computing. Gaudi2 produced is based on Taiwan Semiconductor Manufacturing Co's 7-nanometer transistor technology from 16-nanometers and would work with double the speed in comparison with Habana's previous AI chip.
- Apr-2021: Intel unveiled a data center platform focused on AI, namely, the third Gen Intel Xeon Scalable processors, in India. Intel Xeon Scalable processor platform would elevate the performance level in comparison with the prior generation processor. Moreover, the processor would add improved platform capabilities consisting of Intel SGX for built-in security, Intel Crypto Acceleration, and Intel DL Boost for AI advancement.
- May-2020: IBM unveiled new services and solutions including IBM Edge Application Manager, and IBM Telco Network Cloud Manager, to facilitate telecommunications enterprises in shifting their businesses towards edge computing.
Acquisitions and Mergers:
- Sep-2020: Cisco completed the acquisition of BabbleLabs, Inc., a communication software developer. With this acquisition, BabbleLabs would provide processing noise removal solutions facilitating Cisco to deliver enhanced audio experiences by providing customers the power to eliminate undesirable human speech.
- Dec-2019: Intel completed the acquisition of Habana Labs, an AI Chipmaker. Through this acquisition, Habana's expertise in developing AI processor chips would empower the advancement of Intel's AI offerings for the data center.
Grographical Expansions:
- Nov-2022: Infosys expanded its geographical footprint by opening a Center of AI and Automation that would digitally transform businesses worldwide through hybrid cloud advancement.
Scope of the Study
By Technology
- Machine Learning
- Natural Language Processing (NLP)
- Data Analytics
- Others
By Deployment
- On-premise
- Cloud
By Component
- Solution
- Service
By Application
- Network Optimization
- Virtual Assistance
- Customer Analytics
- Self-Diagnostics
- Network Security
- Others
By Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
Key Market Players
List of Companies Profiled in the Report:
- NVIDIA Corporation
- AT&T, Inc.
- IBM Corporation
- Infosys Limited
- Intel Corporation
- Microsoft Corporation
- Salesforce.com, Inc.
- ZTE Corporation
- Google LLC (Alphabet, Inc.)
- Cisco Systems, Inc.
Unique Offerings
- Exhaustive coverage
- The highest number of Market tables and figures
- Subscription-based model available
- Guaranteed best price
- Assured post sales research support with 10% customization free
Table of Contents
Chapter 1. Market Scope & Methodology1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 Global AI in Telecommunication Market, by Technology
1.4.2 Global AI in Telecommunication Market, by Deployment
1.4.3 Global AI in Telecommunication Market, by Component
1.4.4 Global AI in Telecommunication Market, by Application
1.4.5 Global AI in Telecommunication Market, by Geography
1.5 Methodology for the research
Chapter 2. Market Overview
2.1 Introduction
2.1.1 Overview
2.1.1.1 Market Composition & Scenario
2.2 Key Factors Impacting the Market
2.2.1 Market Drivers
2.2.2 Market Restraints
Chapter 3. Competition Analysis - Global
3.1 Analyst's Cardinal Matrix
3.2 Recent Industry Wide Strategic Developments
3.2.1 Partnerships, Collaborations and Agreements
3.2.2 Product Launches and Product Expansions
3.2.3 Acquisition and Mergers
3.3 Market Share Analysis, 2021
3.4 Top Winning Strategies
3.4.1 Key Leading Strategies: Percentage Distribution (2018-2022)
Chapter 4. Global AI in Telecommunication Market by Technology
4.1 Global Machine Learning Market by Region
4.2 Global Natural Language Processing (NLP) Market by Region
4.3 Global Data Analytics Market by Region
4.4 Global Others Market by Region
Chapter 5. Global AI in Telecommunication Market by Deployment
5.1 Global On-premise Market by Region
5.2 Global Cloud Market by Region
Chapter 6. Global AI in Telecommunication Market by Component
6.1 Global Solution Market by Region
6.2 Global Service Market by Region
Chapter 7. Global AI in Telecommunication Market by Application
7.1 Global Network Optimization Market by Region
7.2 Global Virtual Assistance Market by Region
7.3 Global Customer Analytics Market by Region
7.4 Global Self-Diagnostics Market by Region
7.5 Global Network Security Market by Region
7.6 Global Others Market by Region
Chapter 8. Global AI in Telecommunication Market by Region
8.1 North America AI in Telecommunication Market
8.1.1 North America AI in Telecommunication Market by Technology
8.1.1.1 North America Machine Learning Market by Country
8.1.1.2 North America Natural Language Processing (NLP) Market by Country
8.1.1.3 North America Data Analytics Market by Country
8.1.1.4 North America Others Market by Country
8.1.2 North America AI in Telecommunication Market by Deployment
8.1.2.1 North America On-premise Market by Country
8.1.2.2 North America Cloud Market by Country
8.1.3 North America AI in Telecommunication Market by Component
8.1.3.1 North America Solution Market by Country
8.1.3.2 North America Service Market by Country
8.1.4 North America AI in Telecommunication Market by Application
8.1.4.1 North America Network Optimization Market by Country
8.1.4.2 North America Virtual Assistance Market by Country
8.1.4.3 North America Customer Analytics Market by Country
8.1.4.4 North America Self-Diagnostics Market by Country
8.1.4.5 North America Network Security Market by Country
8.1.4.6 North America Others Market by Country
8.1.5 North America AI in Telecommunication Market by Country
8.1.5.1 US AI in Telecommunication Market
8.1.5.1.1 US AI in Telecommunication Market by Technology
8.1.5.1.2 US AI in Telecommunication Market by Deployment
8.1.5.1.3 US AI in Telecommunication Market by Component
8.1.5.1.4 US AI in Telecommunication Market by Application
8.1.5.2 Canada AI in Telecommunication Market
8.1.5.2.1 Canada AI in Telecommunication Market by Technology
8.1.5.2.2 Canada AI in Telecommunication Market by Deployment
8.1.5.2.3 Canada AI in Telecommunication Market by Component
8.1.5.2.4 Canada AI in Telecommunication Market by Application
8.1.5.3 Mexico AI in Telecommunication Market
8.1.5.3.1 Mexico AI in Telecommunication Market by Technology
8.1.5.3.2 Mexico AI in Telecommunication Market by Deployment
8.1.5.3.3 Mexico AI in Telecommunication Market by Component
8.1.5.3.4 Mexico AI in Telecommunication Market by Application
8.1.5.4 Rest of North America AI in Telecommunication Market
8.1.5.4.1 Rest of North America AI in Telecommunication Market by Technology
8.1.5.4.2 Rest of North America AI in Telecommunication Market by Deployment
8.1.5.4.3 Rest of North America AI in Telecommunication Market by Component
8.1.5.4.4 Rest of North America AI in Telecommunication Market by Application
8.2 Europe AI in Telecommunication Market
8.2.1 Europe AI in Telecommunication Market by Technology
8.2.1.1 Europe Machine Learning Market by Country
8.2.1.2 Europe Natural Language Processing (NLP) Market by Country
8.2.1.3 Europe Data Analytics Market by Country
8.2.1.4 Europe Others Market by Country
8.2.2 Europe AI in Telecommunication Market by Deployment
8.2.2.1 Europe On-premise Market by Country
8.2.2.2 Europe Cloud Market by Country
8.2.3 Europe AI in Telecommunication Market by Component
8.2.3.1 Europe Solution Market by Country
8.2.3.2 Europe Service Market by Country
8.2.4 Europe AI in Telecommunication Market by Application
8.2.4.1 Europe Network Optimization Market by Country
8.2.4.2 Europe Virtual Assistance Market by Country
8.2.4.3 Europe Customer Analytics Market by Country
8.2.4.4 Europe Self-Diagnostics Market by Country
8.2.4.5 Europe Network Security Market by Country
8.2.4.6 Europe Others Market by Country
8.2.5 Europe AI in Telecommunication Market by Country
8.2.5.1 Germany AI in Telecommunication Market
8.2.5.1.1 Germany AI in Telecommunication Market by Technology
8.2.5.1.2 Germany AI in Telecommunication Market by Deployment
8.2.5.1.3 Germany AI in Telecommunication Market by Component
8.2.5.1.4 Germany AI in Telecommunication Market by Application
8.2.5.2 UK AI in Telecommunication Market
8.2.5.2.1 UK AI in Telecommunication Market by Technology
8.2.5.2.2 UK AI in Telecommunication Market by Deployment
8.2.5.2.3 UK AI in Telecommunication Market by Component
8.2.5.2.4 UK AI in Telecommunication Market by Application
8.2.5.3 France AI in Telecommunication Market
8.2.5.3.1 France AI in Telecommunication Market by Technology
8.2.5.3.2 France AI in Telecommunication Market by Deployment
8.2.5.3.3 France AI in Telecommunication Market by Component
8.2.5.3.4 France AI in Telecommunication Market by Application
8.2.5.4 Russia AI in Telecommunication Market
8.2.5.4.1 Russia AI in Telecommunication Market by Technology
8.2.5.4.2 Russia AI in Telecommunication Market by Deployment
8.2.5.4.3 Russia AI in Telecommunication Market by Component
8.2.5.4.4 Russia AI in Telecommunication Market by Application
8.2.5.5 Spain AI in Telecommunication Market
8.2.5.5.1 Spain AI in Telecommunication Market by Technology
8.2.5.5.2 Spain AI in Telecommunication Market by Deployment
8.2.5.5.3 Spain AI in Telecommunication Market by Component
8.2.5.5.4 Spain AI in Telecommunication Market by Application
8.2.5.6 Italy AI in Telecommunication Market
8.2.5.6.1 Italy AI in Telecommunication Market by Technology
8.2.5.6.2 Italy AI in Telecommunication Market by Deployment
8.2.5.6.3 Italy AI in Telecommunication Market by Component
8.2.5.6.4 Italy AI in Telecommunication Market by Application
8.2.5.7 Rest of Europe AI in Telecommunication Market
8.2.5.7.1 Rest of Europe AI in Telecommunication Market by Technology
8.2.5.7.2 Rest of Europe AI in Telecommunication Market by Deployment
8.2.5.7.3 Rest of Europe AI in Telecommunication Market by Component
8.2.5.7.4 Rest of Europe AI in Telecommunication Market by Application
8.3 Asia Pacific AI in Telecommunication Market
8.3.1 Asia Pacific AI in Telecommunication Market by Technology
8.3.1.1 Asia Pacific Machine Learning Market by Country
8.3.1.2 Asia Pacific Natural Language Processing (NLP) Market by Country
8.3.1.3 Asia Pacific Data Analytics Market by Country
8.3.1.4 Asia Pacific Others Market by Country
8.3.2 Asia Pacific AI in Telecommunication Market by Deployment
8.3.2.1 Asia Pacific On-premise Market by Country
8.3.2.2 Asia Pacific Cloud Market by Country
8.3.3 Asia Pacific AI in Telecommunication Market by Component
8.3.3.1 Asia Pacific Solution Market by Country
8.3.3.2 Asia Pacific Service Market by Country
8.3.4 Asia Pacific AI in Telecommunication Market by Application
8.3.4.1 Asia Pacific Network Optimization Market by Country
8.3.4.2 Asia Pacific Virtual Assistance Market by Country
8.3.4.3 Asia Pacific Customer Analytics Market by Country
8.3.4.4 Asia Pacific Self-Diagnostics Market by Country
8.3.4.5 Asia Pacific Network Security Market by Country
8.3.4.6 Asia Pacific Others Market by Country
8.3.5 Asia Pacific AI in Telecommunication Market by Country
8.3.5.1 China AI in Telecommunication Market
8.3.5.1.1 China AI in Telecommunication Market by Technology
8.3.5.1.2 China AI in Telecommunication Market by Deployment
8.3.5.1.3 China AI in Telecommunication Market by Component
8.3.5.1.4 China AI in Telecommunication Market by Application
8.3.5.2 Japan AI in Telecommunication Market
8.3.5.2.1 Japan AI in Telecommunication Market by Technology
8.3.5.2.2 Japan AI in Telecommunication Market by Deployment
8.3.5.2.3 Japan AI in Telecommunication Market by Component
8.3.5.2.4 Japan AI in Telecommunication Market by Application
8.3.5.3 India AI in Telecommunication Market
8.3.5.3.1 India AI in Telecommunication Market by Technology
8.3.5.3.2 India AI in Telecommunication Market by Deployment
8.3.5.3.3 India AI in Telecommunication Market by Component
8.3.5.3.4 India AI in Telecommunication Market by Application
8.3.5.4 South Korea AI in Telecommunication Market
8.3.5.4.1 South Korea AI in Telecommunication Market by Technology
8.3.5.4.2 South Korea AI in Telecommunication Market by Deployment
8.3.5.4.3 South Korea AI in Telecommunication Market by Component
8.3.5.4.4 South Korea AI in Telecommunication Market by Application
8.3.5.5 Singapore AI in Telecommunication Market
8.3.5.5.1 Singapore AI in Telecommunication Market by Technology
8.3.5.5.2 Singapore AI in Telecommunication Market by Deployment
8.3.5.5.3 Singapore AI in Telecommunication Market by Component
8.3.5.5.4 Singapore AI in Telecommunication Market by Application
8.3.5.6 Malaysia AI in Telecommunication Market
8.3.5.6.1 Malaysia AI in Telecommunication Market by Technology
8.3.5.6.2 Malaysia AI in Telecommunication Market by Deployment
8.3.5.6.3 Malaysia AI in Telecommunication Market by Component
8.3.5.6.4 Malaysia AI in Telecommunication Market by Application
8.3.5.7 Rest of Asia Pacific AI in Telecommunication Market
8.3.5.7.1 Rest of Asia Pacific AI in Telecommunication Market by Technology
8.3.5.7.2 Rest of Asia Pacific AI in Telecommunication Market by Deployment
8.3.5.7.3 Rest of Asia Pacific AI in Telecommunication Market by Component
8.3.5.7.4 Rest of Asia Pacific AI in Telecommunication Market by Application
8.4 LAMEA AI in Telecommunication Market
8.4.1 LAMEA AI in Telecommunication Market by Technology
8.4.1.1 LAMEA Machine Learning Market by Country
8.4.1.2 LAMEA Natural Language Processing (NLP) Market by Country
8.4.1.3 LAMEA Data Analytics Market by Country
8.4.1.4 LAMEA Others Market by Country
8.4.2 LAMEA AI in Telecommunication Market by Deployment
8.4.2.1 LAMEA On-premise Market by Country
8.4.2.2 LAMEA Cloud Market by Country
8.4.3 LAMEA AI in Telecommunication Market by Component
8.4.3.1 LAMEA Solution Market by Country
8.4.3.2 LAMEA Service Market by Country
8.4.4 LAMEA AI in Telecommunication Market by Application
8.4.4.1 LAMEA Network Optimization Market by Country
8.4.4.2 LAMEA Virtual Assistance Market by Country
8.4.4.3 LAMEA Customer Analytics Market by Country
8.4.4.4 LAMEA Self-Diagnostics Market by Country
8.4.4.5 LAMEA Network Security Market by Country
8.4.4.6 LAMEA Others Market by Country
8.4.5 LAMEA AI in Telecommunication Market by Country
8.4.5.1 Brazil AI in Telecommunication Market
8.4.5.1.1 Brazil AI in Telecommunication Market by Technology
8.4.5.1.2 Brazil AI in Telecommunication Market by Deployment
8.4.5.1.3 Brazil AI in Telecommunication Market by Component
8.4.5.1.4 Brazil AI in Telecommunication Market by Application
8.4.5.2 Argentina AI in Telecommunication Market
8.4.5.2.1 Argentina AI in Telecommunication Market by Technology
8.4.5.2.2 Argentina AI in Telecommunication Market by Deployment
8.4.5.2.3 Argentina AI in Telecommunication Market by Component
8.4.5.2.4 Argentina AI in Telecommunication Market by Application
8.4.5.3 UAE AI in Telecommunication Market
8.4.5.3.1 UAE AI in Telecommunication Market by Technology
8.4.5.3.2 UAE AI in Telecommunication Market by Deployment
8.4.5.3.3 UAE AI in Telecommunication Market by Component
8.4.5.3.4 UAE AI in Telecommunication Market by Application
8.4.5.4 Saudi Arabia AI in Telecommunication Market
8.4.5.4.1 Saudi Arabia AI in Telecommunication Market by Technology
8.4.5.4.2 Saudi Arabia AI in Telecommunication Market by Deployment
8.4.5.4.3 Saudi Arabia AI in Telecommunication Market by Component
8.4.5.4.4 Saudi Arabia AI in Telecommunication Market by Application
8.4.5.5 South Africa AI in Telecommunication Market
8.4.5.5.1 South Africa AI in Telecommunication Market by Technology
8.4.5.5.2 South Africa AI in Telecommunication Market by Deployment
8.4.5.5.3 South Africa AI in Telecommunication Market by Component
8.4.5.5.4 South Africa AI in Telecommunication Market by Application
8.4.5.6 Nigeria AI in Telecommunication Market
8.4.5.6.1 Nigeria AI in Telecommunication Market by Technology
8.4.5.6.2 Nigeria AI in Telecommunication Market by Deployment
8.4.5.6.3 Nigeria AI in Telecommunication Market by Component
8.4.5.6.4 Nigeria AI in Telecommunication Market by Application
8.4.5.7 Rest of LAMEA AI in Telecommunication Market
8.4.5.7.1 Rest of LAMEA AI in Telecommunication Market by Technology
8.4.5.7.2 Rest of LAMEA AI in Telecommunication Market by Deployment
8.4.5.7.3 Rest of LAMEA AI in Telecommunication Market by Component
8.4.5.7.4 Rest of LAMEA AI in Telecommunication Market by Application
Chapter 9. Company Profiles
9.1 NVIDIA Corporation
9.1.1 Company Overview
9.1.2 Financial Analysis
9.1.3 Segmental and Regional Analysis
9.1.4 Research & Development Expense
9.1.5 SWOT Analysis
9.2 IBM Corporation
9.2.1 Company Overview
9.2.2 Financial Analysis
9.2.3 Regional & Segmental Analysis
9.2.4 Research & Development Expenses
9.2.5 Recent strategies and developments:
9.2.5.1 Product Launches and Product Expansions:
9.2.6 SWOT Analysis
9.3 Infosys Limited
9.3.1 Company Overview
9.3.2 Financial Analysis
9.3.3 Segmental and Regional Analysis
9.3.4 Research & Development Expense
9.3.5 Recent strategies and developments:
9.3.5.1 Geographical Expansions:
9.3.6 SWOT Analysis
9.4 Intel Corporation
9.4.1 Company Overview
9.4.2 Financial Analysis
9.4.3 Segmental and Regional Analysis
9.4.4 Research & Development Expenses
9.4.5 Recent strategies and developments:
9.4.5.1 Product Launches and Product Expansions:
9.4.5.2 Acquisition and Mergers:
9.4.6 SWOT Analysis
9.5 Microsoft Corporation
9.5.1 Company Overview
9.5.2 Financial Analysis
9.5.3 Segmental and Regional Analysis
9.5.4 Research & Development Expenses
9.5.5 Recent strategies and developments:
9.5.5.1 Partnerships, Collaborations, and Agreements:
9.5.6 SWOT Analysis
9.6 Salesforce.com, Inc.
9.6.1 Company Overview
9.6.2 Financial Analysis
9.6.3 Regional Analysis
9.6.4 Research & Development Expense
9.6.5 SWOT Analysis
9.7 Google LLC (Alphabet, Inc.)
9.7.1 Company Overview
9.7.2 Financial Analysis
9.7.3 Segmental and Regional Analysis
9.7.4 Research & Development Expense
9.7.5 Recent strategies and developments:
9.7.5.1 Partnerships, Collaborations, and Agreements:
9.7.6 SWOT Analysis
9.8 Cisco Systems, Inc.
9.8.1 Company Overview
9.8.2 Financial Analysis
9.8.3 Regional Analysis
9.8.4 Research & Development Expense
9.8.5 Recent strategies and developments:
9.8.5.1 Acquisition and Mergers:
9.8.6 SWOT Analysis
9.9 ZTE Corporation
9.9.1 Company Overview
9.9.2 Financial Analysis
9.9.3 Segmental and Regional Analysis
9.9.4 Research & Development Expenses
9.10. AT&T, Inc.
9.10.1 Company Overview
9.10.2 Financial Analysis
9.10.3 Segmental and Regional Analysis
9.10.4 Research & Development Expense
Companies Mentioned
- NVIDIA Corporation
- AT&T, Inc.
- IBM Corporation
- Infosys Limited
- Intel Corporation
- Microsoft Corporation
- Salesforce.com, Inc.
- ZTE Corporation
- Google LLC (Alphabet, Inc.)
- Cisco Systems, Inc.
Methodology
LOADING...
