Edge AI means that the AI algorithm is processed locally on the hardware device. The algorithm is using data (sensor data or signals) generated by the device. Devices that use Edge AI do not need to be connected to function properly, they can process data and make independent decisions without a connection.

Edge AI supports real-time operations, including data generation, decision and action, where milliseconds are important. Real-time driving is important for autonomous vehicles, robots, and many other fields. For wearable devices, it is very important to reduce power consumption and improve battery life. Edge AI reduces the cost of data communication because less data is transmitted. By processing data locally, you can stream and store a lot of data in the cloud to avoid vulnerabilities in terms of privacy.

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Key market players
Major competitors identified in this market include IBM, Microsoft, Intel, Google, TIBCO, Cloudera, Nutanix, Foghorn Systems, SWIM.AI, Anagog, Tact.ai, Bragi, XNOR.AI, Octonion, Veea Inc, Imagimob, etc.
Based on the Type:

• Hardware
• Software

Based on the Application:

• Automotive
• Consumer and Enterprise Robotics
• Drones
• Head-Mounted Displays
• Smart Speakers
• Mobile Phones
• PCs/Tablets
• Security Cameras

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Scope of the Report

The research study analyses the global Edge AI industry from 360-degree analysis of the market thoroughly delivering insights into the market for better business decisions, considering multiple aspects some of which are listed below as:

Recent Developments

o Market Overview and growth analysis
o Import and Export Overview
o Volume Analysis
o Current Market Trends and Future Outlook
o Market Opportunistic and Attractive Investment Segment

Geographic Coverage

o North America Market Size and/or Volume
o Latin America Market Size and/or Volume
o Europe Market Size and/or Volume
o Asia-Pacific Market Size and/or Volume
o Rest of the world Market Size and/or Volume

Key Questions Answered by Edge AI Market Report

1. What was the Edge AI Market size in 2018 and 2019; what are the estimated growth trends and market forecast (2019-2025).
2. What will be the CAGR of Edge AI Market during the forecast period (2019-2025)?
3. Which segments (product type/applications/end-user) were most attractive for investments in 2018? How these segments are expected to grow during the forecast period (2019-2025).
4. Which manufacturer/vendor/players in the Edge AI Market was the market leader in 2018?
5. Overview on the existing product portfolio, products in the pipeline, and strategic initiatives taken by key vendors in the market.

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