The Latin America, Middle East and Africa AI in Telecommunication Market should witness market growth of 40.2% CAGR during the forecast period (2022-2028).
Governments are speeding up the rollout of 5G because they understand how crucial it is for digitalization and demand to promote automation & artificial intelligence in the telecom business. Fifth-generation technologies in the wireless communication sector are projected to be the driving force behind the Internet of Things (IoT), which is propelled by edge computing and AI, and digital transformation. In addition, the growing consumer demand for better services and a seamless customer experience is likely driving the implementation of artificial intelligence in communications.
Developing sophisticated AI and machine learning tools by telecom service providers enables estimating network traffic for any area. The outputs of AI systems are generally accurate, and businesses use them to improve network performance. As service providers have unrestricted access to data for any purpose, which they can use to their advantage, the demand for artificial intelligence in telecommunications is expected to increase.
The UAE Council for Artificial Intelligence and Blockchain started the establishment of an AI-friendly ecosystem to encourage research in the field and partnerships between the public and commercial sectors to hasten the deployment of AI technology.
A successful IoT and 5G ecosystem are being developed in the region because the UAE intends to create a 5G and IoT open lab. The lab encourages cooperation among ecosystem participants to spur innovation and assist the local growth of the ICT industry.
Together with higher capacity, the 5G network will stimulate the creation of new use cases tailored to certain business sectors. The bulk of 5G revenues is anticipated to come from the B2B market rather than the consumer segment. The region is expected to considerably increase AI in the telecom industry due to the region's growing use of 5G, IoT, and ML, thereby supporting market growth.
The Brazil market dominated the LAMEA AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $169.1 million by 2028. The Argentina market is registering a CAGR of 41% during (2022-2028). Additionally, The UAE market would garner a CAGR of 39.8% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Data Analytics, and Others. Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Service. Based on Application, the market is segmented into Network Optimization, Virtual Assistance, Customer Analytics, Self-Diagnostics, Network Security, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
Governments are speeding up the rollout of 5G because they understand how crucial it is for digitalization and demand to promote automation & artificial intelligence in the telecom business. Fifth-generation technologies in the wireless communication sector are projected to be the driving force behind the Internet of Things (IoT), which is propelled by edge computing and AI, and digital transformation. In addition, the growing consumer demand for better services and a seamless customer experience is likely driving the implementation of artificial intelligence in communications.
Developing sophisticated AI and machine learning tools by telecom service providers enables estimating network traffic for any area. The outputs of AI systems are generally accurate, and businesses use them to improve network performance. As service providers have unrestricted access to data for any purpose, which they can use to their advantage, the demand for artificial intelligence in telecommunications is expected to increase.
The UAE Council for Artificial Intelligence and Blockchain started the establishment of an AI-friendly ecosystem to encourage research in the field and partnerships between the public and commercial sectors to hasten the deployment of AI technology.
A successful IoT and 5G ecosystem are being developed in the region because the UAE intends to create a 5G and IoT open lab. The lab encourages cooperation among ecosystem participants to spur innovation and assist the local growth of the ICT industry.
Together with higher capacity, the 5G network will stimulate the creation of new use cases tailored to certain business sectors. The bulk of 5G revenues is anticipated to come from the B2B market rather than the consumer segment. The region is expected to considerably increase AI in the telecom industry due to the region's growing use of 5G, IoT, and ML, thereby supporting market growth.
The Brazil market dominated the LAMEA AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $169.1 million by 2028. The Argentina market is registering a CAGR of 41% during (2022-2028). Additionally, The UAE market would garner a CAGR of 39.8% during (2022-2028).
Based on Technology, the market is segmented into Machine Learning, Natural Language Processing (NLP), Data Analytics, and Others. Based on Deployment, the market is segmented into On-premise, and Cloud. Based on Component, the market is segmented into Solution, and Service. Based on Application, the market is segmented into Network Optimization, Virtual Assistance, Customer Analytics, Self-Diagnostics, Network Security, and Others. Based on countries, the market is segmented into Brazil, Argentina, UAE, Saudi Arabia, South Africa, Nigeria, and Rest of LAMEA.
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.
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 Country
- 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 LAMEA AI in Telecommunication Market, by Technology
1.4.2 LAMEA AI in Telecommunication Market, by Deployment
1.4.3 LAMEA AI in Telecommunication Market, by Component
1.4.4 LAMEA AI in Telecommunication Market, by Application
1.4.5 LAMEA AI in Telecommunication Market, by Country
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. LAMEA AI in Telecommunication Market by Technology
4.1 LAMEA Machine Learning Market by Country
4.2 LAMEA Natural Language Processing (NLP) Market by Country
4.3 LAMEA Data Analytics Market by Country
4.4 LAMEA Others Market by Country
Chapter 5. LAMEA AI in Telecommunication Market by Deployment
5.1 LAMEA On-premise Market by Country
5.2 LAMEA Cloud Market by Country
Chapter 6. LAMEA AI in Telecommunication Market by Component
6.1 LAMEA Solution Market by Country
6.2 LAMEA Service Market by Country
Chapter 7. LAMEA AI in Telecommunication Market by Application
7.1 LAMEA Network Optimization Market by Country
7.2 LAMEA Virtual Assistance Market by Country
7.3 LAMEA Customer Analytics Market by Country
7.4 LAMEA Self-Diagnostics Market by Country
7.5 LAMEA Network Security Market by Country
7.6 LAMEA Others Market by Country
Chapter 8. LAMEA AI in Telecommunication Market by Country
8.1 Brazil AI in Telecommunication Market
8.1.1 Brazil AI in Telecommunication Market by Technology
8.1.2 Brazil AI in Telecommunication Market by Deployment
8.1.3 Brazil AI in Telecommunication Market by Component
8.1.4 Brazil AI in Telecommunication Market by Application
8.2 Argentina AI in Telecommunication Market
8.2.1 Argentina AI in Telecommunication Market by Technology
8.2.2 Argentina AI in Telecommunication Market by Deployment
8.2.3 Argentina AI in Telecommunication Market by Component
8.2.4 Argentina AI in Telecommunication Market by Application
8.3 UAE AI in Telecommunication Market
8.3.1 UAE AI in Telecommunication Market by Technology
8.3.2 UAE AI in Telecommunication Market by Deployment
8.3.3 UAE AI in Telecommunication Market by Component
8.3.4 UAE AI in Telecommunication Market by Application
8.4 Saudi Arabia AI in Telecommunication Market
8.4.1 Saudi Arabia AI in Telecommunication Market by Technology
8.4.2 Saudi Arabia AI in Telecommunication Market by Deployment
8.4.3 Saudi Arabia AI in Telecommunication Market by Component
8.4.4 Saudi Arabia AI in Telecommunication Market by Application
8.5 South Africa AI in Telecommunication Market
8.5.1 South Africa AI in Telecommunication Market by Technology
8.5.2 South Africa AI in Telecommunication Market by Deployment
8.5.3 South Africa AI in Telecommunication Market by Component
8.5.4 South Africa AI in Telecommunication Market by Application
8.6 Nigeria AI in Telecommunication Market
8.6.1 Nigeria AI in Telecommunication Market by Technology
8.6.2 Nigeria AI in Telecommunication Market by Deployment
8.6.3 Nigeria AI in Telecommunication Market by Component
8.6.4 Nigeria AI in Telecommunication Market by Application
8.7 Rest of LAMEA AI in Telecommunication Market
8.7.1 Rest of LAMEA AI in Telecommunication Market by Technology
8.7.2 Rest of LAMEA AI in Telecommunication Market by Deployment
8.7.3 Rest of LAMEA AI in Telecommunication Market by Component
8.7.4 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
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