The Global report on “AI in Telecommunication Market” delivering key insights and providing a competitive advantage to clients through a detailed report. The report also details the information about the global market status, growth rate, future trends, market drivers, challenges, opportunities and porter’s forces analysis with respect to these elements. An exclusive data offered in this report is collected by research and industry experts team.
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The AI in telecommunication market is projected to grow at a CAGR of 46.8% during the forecast period
MarketsandMarkets expects the global Artificial Intelligence (AI)in telecommunication market to grow from USD 365.8million in 2017 to USD 2,497.8million by 2022, at a Compound Annual Growth Rate (CAGR) of 46.8% during the forecast period. The increasing adoption of AI for various applications in the telecommunication industry and the utilization of AI-enabled smart phones are expected to be driving the growth of the AI in telecommunication market. Incompatibility concerns between the AI technology and telecommunication systems, which may generate integration complexities in AI in telecommunication solutions, are expected to act as restraints for the growth of the market.
Cloud deployment mode is expected to have a larger market share during the forecast period
In the AI in telecommunication market, the cloud deployment mode offers multiple benefits, such as reduced operational and maintenance costs, fewer complexities, and more scalability. The AI in telecommunication solution providers are focusing on the development of robust cloud-based solutions for their clients, as many organizations have started adopting the cloud-based deployment mode. Additionally, the cloud deployment mode is user-friendly and easy to access.
Machine learning and deep learning technology is expected to have a larger market size during the forecast period
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.
Machine learning and deep learning offers the most robust methodology to tap into the area of context that involves human-computer interactions, and provides close predictions based on the past data. This technology is useful in the telecommunication industry for automating telecommunication operations.
North America is expected to have the largest market size in the AI in telecommunication market during the forecast period
Among regions, North America is expected to have the largest market size in the AI in telecommunication market during the forecast period. The North American region has shown increased investments in the market, and several vendors have evolved to cater to the rapidly growing market. A considerable growth is expected in the region during the forecast period. The major initiatives taken for the growth of the AI in telecommunication technology have their origin in this region. In this region, the enterprises and governments have positively adopted the AI in telecommunication technology to improve telecommunication solutions and services for better customer experience.
In-depth interviews were conducted with Chief Executive Officers (CEOs), marketing directors, innovation and technology directors, and executives from various key organizations operating in theAI in telecommunication market.
- By Company Type: Tier I:22%, Tier II:40%, and Tier III:38%
- By Designation:C-Level:32%, Director Level:26%, and Others:42%
- By Region: North America:36%, EMEA: 32%, and APAC:32%
The report includes the study of the key players offering AI in telecommunication solutions, hardware, and services. 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), Sales force (US), and NVIDIA (US)are a few companies that have been profiled in the report. The report includes an in-depth competitive analysis of these key AI in telecommunication market players, along with their company profiles, which include business overviews, product offerings, recent developments, and market strategies.
Research Coverage
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. The component segment is subsegmented as solutions and services. The solutions segment includes software tools and platforms, while the services segment includes professional services and managed services. On the basis of deployment modes, the AI in telecommunication market has been divided into cloud and on-premises deployments. Finally, on the basis of regions, the AI in telecommunication market has been segmented into North America, Europe, Asia Pacific (APAC), Middle East and Africa (MEA), and Latin America.
The report will help the market leaders and new entrants in the AI in telecommunication market in the following ways:
- The report segments the market into various subsegments, hence it covers the market comprehensively. The report provides the closest approximations of the revenue numbers for the overall market and the subsegments. The market numbers are further split across various verticals and regions.
- The report helps in understanding the overall growth of the market. It provides information on the key market drivers, restraints, challenges, and opportunities.
- The report helps in understanding the competitors better and gaining more insights to strengthen their positions in the market. The study also presents the positioning of the key players based on their product offerings and business strategies.
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