The AI in telecommunication market includes various AI in telecommunication vendors, such as IBM (US), Microsoft (US), Intel (US), Google (US), AT&T (US), Cisco Systems (US), Nuance Communications (US), Sentient Technologies (US), H2O.ai (US), Infosys (India), Salesforce (US), and NVIDIA (US).
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In AI in telecommunication market, cloud deployment mode offers multiple benefits, like reduced operational & maintenance costs, fewer complexities, & more scalability. AI in telecommunication solution providers are focusing on development of robust cloud-based solutions for their clients, as many organizations have started adopting cloud-based deployment mode.
Additionally, cloud deployment mode is user-friendly and easy to access.
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The target audience of the market report is given below:
- Government agencies
- AI in telecommunication solution/service vendors
- Application developers
- System integrators
- Application end-users
Objective of AI in Telecommunication Market report is to define, describe, and forecast size of AI in telecommunication market on basis of technologies, applications, components (solutions and services), deployment modes, and regions. Report also aims at providing detailed information about the major factors influencing growth of market (drivers, restraints, opportunities, and challenges).
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North America expected to have largest market size in AI in telecommunication market during forecast period. North American region has shown increased investments in market, & several vendors have evolved to cater to rapidly growing market.
A considerable growth is expected in region during forecast period. Major initiatives taken for growth of AI in telecommunication technology have their origin in this region.
2 Top Players Operating in the AI in Telecommunication Market
3 Competitive Situation and Trends
4 New Product Launches
5 Agreements, Partnerships, and Collaborations
7 Business Expansions
The AI in telecommunication market technology segment is subsegmented into machine learning and deep learning, and Natural Language Processing (NLP). Among these, the machine learning and deep learning segment is expected to have a larger market size during the forecast period.
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The AI in telecommunication market has been segmented on the basis of technologies, applications, components (solutions and services), deployment modes, and regions. The technology segment of AI in telecommunication includes machine learning and deep learning, and NLP.
The application segment includes network optimization, network security, self-diagnostics, customer analytics, virtual assistance, and others. The other applications include contact center analytics and marketing campaign analytics.
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