The Asia Pacific AI in Telecommunication Market should witness market growth of 38.4% CAGR during the forecast period (2022-2028).
As telecom businesses can quickly identify AI issues, demand for AI in the telecommunications industry is increasing. Most of the time spent on network maintenance is spent locating the initial area that needs repair. With the advent of AI, it has become easy. Artificial intelligence in telecommunication is also fueled by the use of IoT by telecom businesses.
Creating context-aware AI systems, which are sophisticated and can quickly determine their status, is one of the most recent advances in the telecommunications industry. The observe-orient-decide-act model is used by these systems to make decisions. As a result, during the forecast period, the need for artificial intelligence in telecommunications is expected to increase.
AI can reduce downtime, which is another element boosting the growth of the AI in telecommunication market. Also, using context-aware technology and IoT processes allows for quickly completing maintenance tasks.
Large, complicated datasets, exponentially powerful computers, and other technological advancements have allowed for the development of AI. AI has the potential to be both useful and profitable in applications like machine learning, where the system finds patterns in huge datasets. The nation makes considerable investments in developing cutting-edge technologies like AI and ML. The market's expansion is aided by investments received from a variety of nationwide operating organizations from various sources.
The number of local over-the-top video platforms that have shut down in recent years has been small. However, consumers in Asia-Pacific still have many streaming options due to the arrival of new providers in the region. As a result, the APAC area is predicted to see an increase in the use of AI in telecommunications.
The China market dominated the Asia Pacific AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $840.6 million by 2028. The Japan market is experiencing a CAGR of 37.5% during (2022-2028). Additionally, The India market would exhibit a CAGR of 39.3% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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.
As telecom businesses can quickly identify AI issues, demand for AI in the telecommunications industry is increasing. Most of the time spent on network maintenance is spent locating the initial area that needs repair. With the advent of AI, it has become easy. Artificial intelligence in telecommunication is also fueled by the use of IoT by telecom businesses.
Creating context-aware AI systems, which are sophisticated and can quickly determine their status, is one of the most recent advances in the telecommunications industry. The observe-orient-decide-act model is used by these systems to make decisions. As a result, during the forecast period, the need for artificial intelligence in telecommunications is expected to increase.
AI can reduce downtime, which is another element boosting the growth of the AI in telecommunication market. Also, using context-aware technology and IoT processes allows for quickly completing maintenance tasks.
Large, complicated datasets, exponentially powerful computers, and other technological advancements have allowed for the development of AI. AI has the potential to be both useful and profitable in applications like machine learning, where the system finds patterns in huge datasets. The nation makes considerable investments in developing cutting-edge technologies like AI and ML. The market's expansion is aided by investments received from a variety of nationwide operating organizations from various sources.
The number of local over-the-top video platforms that have shut down in recent years has been small. However, consumers in Asia-Pacific still have many streaming options due to the arrival of new providers in the region. As a result, the APAC area is predicted to see an increase in the use of AI in telecommunications.
The China market dominated the Asia Pacific AI in Telecommunication Market by Country in 2021, and would continue to be a dominant market till 2028; thereby, achieving a market value of $840.6 million by 2028. The Japan market is experiencing a CAGR of 37.5% during (2022-2028). Additionally, The India market would exhibit a CAGR of 39.3% 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 China, Japan, India, South Korea, Singapore, Malaysia, and Rest of Asia Pacific.
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
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
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 Asia Pacific AI in Telecommunication Market, by Technology
1.4.2 Asia Pacific AI in Telecommunication Market, by Deployment
1.4.3 Asia Pacific AI in Telecommunication Market, by Component
1.4.4 Asia Pacific AI in Telecommunication Market, by Application
1.4.5 Asia Pacific 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. Asia Pacific AI in Telecommunication Market by Technology
4.1 Asia Pacific Machine Learning Market by Country
4.2 Asia Pacific Natural Language Processing (NLP) Market by Country
4.3 Asia Pacific Data Analytics Market by Country
4.4 Asia Pacific Others Market by Country
Chapter 5. Asia Pacific AI in Telecommunication Market by Deployment
5.1 Asia Pacific On-premise Market by Country
5.2 Asia Pacific Cloud Market by Country
Chapter 6. Asia Pacific AI in Telecommunication Market by Component
6.1 Asia Pacific Solution Market by Country
6.2 Asia Pacific Service Market by Country
Chapter 7. Asia Pacific AI in Telecommunication Market by Application
7.1 Asia Pacific Network Optimization Market by Country
7.2 Asia Pacific Virtual Assistance Market by Country
7.3 Asia Pacific Customer Analytics Market by Country
7.4 Asia Pacific Self-Diagnostics Market by Country
7.5 Asia Pacific Network Security Market by Country
7.6 Asia Pacific Others Market by Country
Chapter 8. Asia Pacific AI in Telecommunication Market by Country
8.1 China AI in Telecommunication Market
8.1.1 China AI in Telecommunication Market by Technology
8.1.2 China AI in Telecommunication Market by Deployment
8.1.3 China AI in Telecommunication Market by Component
8.1.4 China AI in Telecommunication Market by Application
8.2 Japan AI in Telecommunication Market
8.2.1 Japan AI in Telecommunication Market by Technology
8.2.2 Japan AI in Telecommunication Market by Deployment
8.2.3 Japan AI in Telecommunication Market by Component
8.2.4 Japan AI in Telecommunication Market by Application
8.3 India AI in Telecommunication Market
8.3.1 India AI in Telecommunication Market by Technology
8.3.2 India AI in Telecommunication Market by Deployment
8.3.3 India AI in Telecommunication Market by Component
8.3.4 India AI in Telecommunication Market by Application
8.4 South Korea AI in Telecommunication Market
8.4.1 South Korea AI in Telecommunication Market by Technology
8.4.2 South Korea AI in Telecommunication Market by Deployment
8.4.3 South Korea AI in Telecommunication Market by Component
8.4.4 South Korea AI in Telecommunication Market by Application
8.5 Singapore AI in Telecommunication Market
8.5.1 Singapore AI in Telecommunication Market by Technology
8.5.2 Singapore AI in Telecommunication Market by Deployment
8.5.3 Singapore AI in Telecommunication Market by Component
8.5.4 Singapore AI in Telecommunication Market by Application
8.6 Malaysia AI in Telecommunication Market
8.6.1 Malaysia AI in Telecommunication Market by Technology
8.6.2 Malaysia AI in Telecommunication Market by Deployment
8.6.3 Malaysia AI in Telecommunication Market by Component
8.6.4 Malaysia AI in Telecommunication Market by Application
8.7 Rest of Asia Pacific AI in Telecommunication Market
8.7.1 Rest of Asia Pacific AI in Telecommunication Market by Technology
8.7.2 Rest of Asia Pacific AI in Telecommunication Market by Deployment
8.7.3 Rest of Asia Pacific AI in Telecommunication Market by Component
8.7.4 Rest of Asia Pacific 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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