Artificial Intelligence (AI) in Telecommunication market is anticipated to grow at a CAGR of 40.6% during the forecast period (2023-2030). The market’s growth is attributed to customer support and service across the globe. Virtual assistants and chatbots powered by AI are utilized to answer common customer questions, solve problems, and offer information. Through faster response times and higher customer satisfaction, automation improves customer service and support. For instance, in September 2023, Nokia launched an ‘Enterprise Edge Charging’ software solution for driving monetization capabilities for smart cities, utilities, and railway verticals, as the business seeks to strategically increase its market dominance in the enterprise sector.
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The global artificial intelligence (AI) in telecommunication market is segmented on the component, deployment model, technology, and application. Based on the component, the market is sub-segmented into solution, and service. Based on the deployment model, the market is sub-segmented into on-premise, and cloud. Based on the technology, the market is sub-segmented into machine learning, natural language processing, data analytics, and others. Further, on the basis of application, the market is sub-segmented into customer analytics, network security, network optimization, self-diagnostics, virtual assistance, and others. The natural language processing (NLP) subcategory is expected to capture a significant portion of the market share within the component segment. This is attributed to the use of natural language processing (NLP) technology to read data stored in digital format and utilized to comprehend human speech in a variety of languages, a database for the expanding telecom sector.
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- Market Coverage
- Market number available for – 2023-2029
- Base year- 2022
- Forecast period- 2023-2029
- Segment Covered- By Source, By Product Type, By Applications
- Competitive Landscape- Archer Daniels Midland Co., Ingredion Inc., Kerry Group Plc, Cargill
- , and others
Global Artificial Intelligence (AI) in Telecommunication Market Report Segment
By Component
- Solution
- Service
By Deployment Model
- On-Premise
- Cloud
By Technology
- Machine Learning (ML)
- Natural Language Processing (NLP)
- Data Analytics
- Others (AI-Enhanced Virtual Assistants, Reinforcement Learning, and Network Function Virtualization (NFV))
By Application
- Customer Analytics
- Network Security
- Network Optimization
- Self-Diagnostics
- Virtual Assistance
- Others(Data Traffic Forecasting, and Fraud Detection)
Global Artificial Intelligence (AI) in Telecommunication Market Report Segment by Region
North America
- United States
- Canada
Europe
- UK
- Germany
- Italy
- Spain
- France
- Rest of Europe
Asia-Pacific
- China
- India
- Japan
- South Korea
- Rest of Asia-Pacific
Rest of the World
- Latin America
- Middle East & Africa
The Report Covers
- Market value data analysis of 2022 and forecast to 2030.
- Annualized market revenues ($ million) for each market segment.
- Country-wise analysis of major geographical regions.
- Key companies operating in the global artificial intelligence (AI) in telecommunication market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
- Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
- Analysis of market-entry and market expansion strategies.
- Competitive strategies by identifying ‘who-stands-where’ in the market.
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