Edge Computing in Automotive Market

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Question ^*

What is your BIGGEST challenge in implementing advanced automotive features?

1. Latency & Bandwidth Limitations

2. Data Security & Privacy Concerns

3. High Computational Costs

4. Lack of Standardized Platforms

5. Integration Complexity

6. Other (Please Specify)

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Question ^*

What level of real-time data processing is CRITICAL for your automotive solutions?

1. Milliseconds

2. Sub-Seconds

3. Seconds

4. Minutes

5. Hours

6. Not Critical

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Question ^*

How important is OFFLINE functionality (i.e., continued operation without cloud connectivity) for your key automotive applications?

1. Extremely Important (Essential for Safety/Operation)

2. Very Important (Significant Performance Impact Without)

3. Moderately Important (Some Performance Degradation)

4. Not Important (Reliance on Cloud is Acceptable)

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Question ^*

Which Edge Computing capabilities are MOST valuable for your automotive use cases?

1. Low Latency Data Processing

2. Enhanced Data Security/Privacy

3. Reduced Bandwidth Consumption

4. Offline Data Processing Capabilities

5. Improved Scalability

6. Other (Please Specify)

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Question ^*

Which automotive applications would benefit MOST from Edge Computing?

1. Autonomous Driving/ADAS

2. Predictive Maintenance

3. In-Cabin Experience (Infotainment, Personalization)

4. Over-the-Air (OTA) Updates

5. Vehicle-to-Everything (V2X) Communication

6. Other (Please Specify)

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