通信産業向け人工知能 (AI) の世界市場の将来予測
Global Artificial Intelligence (AI) in Telecommunication Market Forecast 2019-2027
|出版日||ページ情報||英文 162 Pages
|通信産業向け人工知能 (AI) の世界市場の将来予測 Global Artificial Intelligence (AI) in Telecommunication Market Forecast 2019-2027|
|出版日: 2019年02月11日||ページ情報: 英文 162 Pages||
当レポートでは、世界の通信産業向け人工知能 (AI) 市場の将来展望について分析し、技術の概要や市場の構造、主な市場促進・抑制要因、全体的な市場規模の動向見通し (今後9年間分)、展開方式別・技術別・コンポーネント別・用途別および地域別の詳細動向、市場競争環境、主要企業のプロファイルなどを調査しております。
The automated chatbots, personalized offers, and efficiently streamlined customer service processes can be managed to provide enhanced customer service by the telecommunication services if the Artificial Intelligence gets integrated with the former. By assimilating advanced technologies like Artificial Intelligence, machine learning, etc. and 5G system, the telecommunication operators, can enhance and implement realization of high levels of self-organization, intelligent management and fault-free networks that are much more reliable as compared to the earlier networks. Advantages like detection of flaws in the network, network security, network optimization & offer virtual assistance are influencing the global market for Artificial Intelligence in telecommunication to propel vigorously at a CAGR of 42.16% from 2019-2027, as estimated by Inkwood Research. Furthermore, the incorporation of artificial intelligence technologies with upcoming wireless networks is appraised to increase the demand & adoption of such artificial intelligence tools & services in the telecommunication sector.
The upsurge in mobile data traffic & smartphone users across the world and the integration of AI with newer wireless networks will necessarily drive the global AI in the telecom market. Concerns related to incompatibility, the unreliability of artificial intelligence algorithms, lack of skilled personnel & difficulties in the protection of confidential & private data are the primary challenges faced by the market players. With the proliferation of the microcomputer, advanced microprocessor and improved network connection in the 1990s and 2000s, researchers have designed new AI systems for telecom industry that helped in increasing the operational efficiency with the expertise of telecom operators.
Geographically, global AI in telecommunication market has been segmented into North America, Europe, Asia Pacific and Rest of World (ROW). North America leads global AI in telecommunication market by capturing the largest market share in terms of revenue of around XX% and revenue of approximately $xx million in 2018. The fueling of market growth in North America can be reasoned to the relevant R&D in autonomous vehicles, healthcare, cybersecurity, and security and access control technologies. Additionally, the use of AI technology at home and in classrooms is expected to expand with the efficient integration of face-to-face learning significantly, and various new startups have been investing in the adoption of AI technologies, which is expected to provide lucrative growth opportunities for AI in North America.
Majority of the companies look for strategies like mergers & acquisitions, partnerships, contracts, agreements & new product launches to their respective growth. Some of these established companies operating in the global market are Infosys Limited, Baidu Inc., Sentient Technologies LLC, Microsoft Corporation, Cisco Systems, Inc., Vodafone Group PLC, Hewlett Packard Enterprise (HPE), AT&T Inc., H2o.ai, Nuance Communication Inc., Salesforce.Com, Inc., International Business Machines Corporation, NVIDIA, Google, Inc. and Intel Corporation.