Edge Analytics Market

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Question ^*

What are the biggest challenges you face in implementing data analytics closer to the data source?

1. A. Limited Compute Resources at the Edge

2. B. Network Connectivity Issues

3. C. Data Security & Privacy Concerns

4. D. Lack of Skilled Personnel/Expertise

5. E. Integration with Existing Systems

6. F. High Implementation Costs

7. G. Other (Please Specify)

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Question ^*

Which edge analytics capabilities are most critical for your organization?

1. A. Real-time Anomaly Detection

2. B. Predictive Modeling & Forecasting

3. C. Data Aggregation & Pre-processing

4. D. Automated Alerting & Notifications

5. E. Machine Learning Model Deployment

6. F. Other (Please Specify)

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Question ^*

What types of edge devices generate the data you need to analyze?

1. A. Industrial Sensors (e.g., temperature, pressure)

2. B. Cameras/Video Feeds

3. C. Mobile Devices

4. D. IoT Gateways

5. E. PLCs/Controllers

6. F. Other (Please Specify)

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Question ^*

What data latency requirements do you have for your edge analytics applications?

1. A. Less than 10 milliseconds (Real-time control)

2. B. Between 10-100 milliseconds (Near Real-time)

3. C. Between 100 milliseconds - 1 second

4. D. 1 second or more (Batch processing is acceptable)

5. E. Not applicable/Unsure

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Question ^*

What are your primary business goals for leveraging data insights at the edge?

1. A. Improved Operational Efficiency

2. B. Enhanced Real-time Decision Making

3. C. Reduced Latency & Bandwidth Costs

4. D. Enhanced Security & Privacy

5. E. Predictive Maintenance & Asset Optimization

6. F. Other (Please Specify)

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