通信向けAIの世界市場 - 2022年までの予測：ネットワーク最適化、ネットワークセキュリティ、自己診断、顧客アナリティクス、仮想アシスタント
AI in Telecommunication Market by Technology, Application (Network Optimization, Network Security, Self-diagnostics, Customer Analytics, and Virtual Assistance), Component (Solutions and Services), Deployment Mode, and Region - Global Forecast to 2022
|通信向けAIの世界市場 - 2022年までの予測：ネットワーク最適化、ネットワークセキュリティ、自己診断、顧客アナリティクス、仮想アシスタント|
ページ情報: 英文 136 Pages
世界の通信向けAI市場は、2017年の3億6580万米ドルから、2022年までに24億9780万米ドルまで拡大すると見られています。市場は、2017年～2022年のCAGR (複合年間成長率) で、46.8％の成長が予測されています。
"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 365.8 million in 2017 to USD 2,497.8 million 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 smartphones 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.
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.
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.
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 the AI in telecommunication market.
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), Salesforce (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.
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:
*Details on Business Overview, Services Offered, Recent Developments, SWOT Analysis, and MNM View might not be captured in case of unlisted companies.