Edge AI software enables aggregation, processing, computation, and analysis of data present near or on the edge devices by leveraging AI and IoT technologies. The software helps to process data on edge nodes even in remote and decentralized networks, without cloud connectivity.
Integrating AI with IoT in edge devices helps enterprises to minimize latency, reduce bandwidth, lessen threats, avoid duplication, improve reliability, and maintain compliance. Moreover, edge AI software solutions enable an organization to utilize the computing resources in an optimal manner, minimize the bandwidth required to execute the solution, and lower the latency in particular response time.
The amount of IoT devices deployed worldwide is exploding across all industries and cloud computing is overwhelmed with challenges that prevent IoT from scaling. For this reason, the center of data production and computing is transitioning from the cloud to the edge creating the need of IoT devices with a small but power efficient footprint.
The potential of AI at the edge is vast. A report from Tractica estimates that AI edge device shipments will increase from 161.4 million units in 2018 to 2.6 billion units worldwide annually by 2025. The top AI-enabled edge devices, in terms of unit volumes, will include mobile phones, smart speakers, PCs/tablets, head-mounted displays, automotive sensors, drones, consumer and enterprise robots, and security cameras. There will also be more AI incorporated into wearable health sensors, building or facility sensors, and networks of sensors planted around facilities or entire cities. Artificial intelligence (AI),a rapidly emerging force, is taking computing at the edge to a whole new level, in which insights and analysis are provided on the spot, in real-time. With the IoT now front and center of business and technology strategies, the ability to analyze data streaming through edge computing devices and systems means a significant improvement in visibility and awareness of events across a network.
In 2018, the global Edge AI Software market size was 354.2 million US$ and it is expected to reach 1668.4 million US$ by the end of 2025, with a CAGR of 24.8% during 2019-2025.
This report focuses on the global Edge AI Software status, future forecast, growth opportunity, key market and key players. The study objectives are to present the Edge AI Software development in United States, Europe and China.
The key players covered in this study
IBM
Microsoft
Intel
Google
TIBCO
Cloudera
Nutanix
Foghorn Systems
SWIM.AI
Anagog
Tact.ai
Bragi
XNOR.AI
Octonion
Veea Inc
Imagimob
Market segment by Type, the product can be split into
Software Tools
Platforms
Market segment by Application, split into
Autonomous Vehicles
Access Management
Video Surveillance
Remote Monitoring & Predictive Maintenance
Telemetry
Others
Market segment by Regions/Countries, this report covers
United States
Europe
China
Japan
Southeast Asia
India
Central & South America
The study objectives of this report are:
To analyze global Edge AI Software status, future forecast, growth opportunity, key market and key players.
To present the Edge AI Software development in United States, Europe and China.
To strategically profile the key players and comprehensively analyze their development plan and strategies.
To define, describe and forecast the market by product type, market and key regions.
In this study, the years considered to estimate the market size of Edge AI Software are as follows:
History Year: 2014-2018
Base Year: 2018
Estimated Year: 2019
Forecast Year 2019 to 2025
For the data information by region, company, type and application, 2018 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered.
Summary:
Get latest Market Research Reports on Edge AI Software . Industry analysis & Market Report on Edge AI Software is a syndicated market report, published as Global Edge AI Software Market Size, Status and Forecast 2019-2025. It is complete Research Study and Industry Analysis of Edge AI Software market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.