Asia Pacific AI in Telecommunication Market Size, Share & Industry Trends Analysis Report By Technology, By Deployment (On-premise, and Cloud), By Component (Solution, and Service), By Application, By Country and Growth Forecast, 2022 - 2028
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Market Report Description
The Asia Pacific AI in Telecommunication Market would 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.
Free Valuable Insights: The Worldwide AI in Telecommunication Market is Projected to reach USD 10 Billion by 2028, at a CAGR of 37.4%
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
Market Segments Covered in the Report:
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.
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