エッジAIソフトウェアの世界市場 - 競合、予測、機会
Global Edge AI Software Market, By Component (Solutions & Services), Data Source (Video & Image Recognition, Speech Recognition, Biometric Data, Mobile Data & Sensor Data), Application, End User, Region, Competition, Forecast & Opportunities, 2024
|出版日||ページ情報||英文 118 Pages
|エッジAIソフトウェアの世界市場 - 競合、予測、機会 Global Edge AI Software Market, By Component (Solutions & Services), Data Source (Video & Image Recognition, Speech Recognition, Biometric Data, Mobile Data & Sensor Data), Application, End User, Region, Competition, Forecast & Opportunities, 2024|
|出版日: 2019年12月01日||ページ情報: 英文 118 Pages||
世界のエッジAIソフトウェア市場は、インテリジェントアプリケーションの数が大幅に増加したため、2019年～2024年のCAGR (複合年間成長率) で25％以上の成長が予測されています。エッジAIソフトウェアは、IoTおよびAI技術を活用することにより、エッジデバイスに存在するデータの処理・集約・計算・解析を可能にします。エッジデバイスへのAIの統合は、遅延を最小限に抑え、脅威を減らし、市場の成長を促進する信頼性を向上させるのに役立ちます。
Figure 15. Global Edge AI Software Market Map, By Component, By Value, 2019E-2024F
Figure 16. Global Edge AI Software Market Map, By Data Source, By Value, 2019E-2024F
Figure 17. Global Edge AI Software Market Map, By Application, By Value, 2019E-2024F
Figure 18. Global Edge AI Software Market Map, By End User, By Value, 2019E-2024F
Figure 19. Global Edge AI Software Market Map, By Region, By Value, 2019E-2024F
Global Edge Artificial Intelligence (AI) Software market is expected to grow at a CAGR of over 25% during 2019 - 2024 on account of significant increase in the number of intelligent applications. Edge artificial intelligence software allows processing, aggregation, computation and analysis of data present in the edge devices by leveraging IoT and artificial intelligence technologies. Integration of artificial intelligence in edge devices helps to minimize latency, lessen threats and improve reliability which is promoting the growth of the market. Moreover, increasing workload of enterprises on cloud is further likely to elevate demand for global edge AI software market through 2024.
Global edge AI software market can be segmented based on the component, data source, application, end user and region. Based on component, the market can be bifurcated into solutions and services. Edge AI software solutions integrate machine learning and edge computing technology so as to derive crucial insights without costly analysis, thereby boosting the growth of solutions segment through 2024. On the basis of data source, global edge AI software market can be segmented into video & image recognition, speech recognition, biometric data, mobile data and sensor data. Video & image recognition led the market in 2018 and the trend is expected to continue during forecast period as edge AI software is used to analyze images and videos, locally on the devices. Edge artificial intelligence software caters to various end user segments such as government, manufacturing, IT & telecom, automotive, energy & utilities and others. Manufacturing and Energy & Utilities verticals acquired the largest shares in 2018 as the vertical includes technology driven operations, which depend on real-time insights.
Regionally, global edge AI software is gaining traction and expanding to various regions across the globe. North America is leading global edge AI software market and is likely to maintain its position during forecast period as well on account of high investments by public and private sectors in artificial intelligence and machine learning technologies in the economies of the region.
Major players operating in global edge AI software market include Google LLC, Amazon Web Services Inc., Microsoft Corp., Nutanix Inc., TIBCO Software Inc., IBM Corporation, Octonion SA, Anagog, Veea, among others. Major companies are developing advanced technologies and launching new products in order to stay competitive in the market. Other competitive strategies include mergers & acquisitions and new product developments.
Years considered for this report:
Historical Years: 2014-2017
Base Year: 2018
Estimated Year: 2019
Forecast Period: 2020-2024
Objective of the Study:
TechSci Research performed both primary as well as exhaustive secondary research for this study. Initially, TechSci Research sourced a list of service providers across the globe. Subsequently, TechSci Research conducted primary research surveys with the identified companies. While interviewing, the respondents were also enquired about their competitors. Through this technique, TechSci Research could include the service providers which could not be identified due to the limitations of secondary research. TechSci Research analyzed the service offerings and presence of all major service providers across the globe.
TechSci Research calculated the market size of global Edge AI Software market using a bottom-up approach and top-down approach, wherein data for various end-user segments was recorded and forecast for the future years. TechSci Research sourced these values from the industry experts and company representatives and externally validated through analyzing historical data of these product types and applications for getting an appropriate, overall market size. Various secondary sources such as company websites, news articles, press releases, company annual reports, investor presentations and financial reports were also studied by TechSci Research.
Key Target Audience:
The study is useful in providing answers to several critical questions that are important for the industry stakeholders such as service providers and partners, end users, etc., besides allowing them in strategizing investments and capitalizing on market opportunities.
In this report, global Edge AI Software market has been segmented into following categories, in addition to the industry trends which have also been detailed below:
Video & Image Recognition
Mobile data & Sensor data
Remote Monitoring & Predictive Maintenance
Energy & Utilities
IT & Telecom
Middle East & Africa
Company Profiles: Detailed analysis of the major companies present in global Edge AI Software market.
With the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
(Note: The companies list can be customized based on the client requirements.)