Top Internet of Things (IoT) Trends in 2017
出 版 商：Strategy Analytics
出版日期：2017/01/31
頁 數：26頁
文件格式：Word
價 格：
USD 3,000 (Single-User License)
Report Summary:
Every year, Strategy Analytics puts together list of likely predictions that will shape the year ahead in the Internet of Things (IoT). This report provides Strategy Analytics’ top IoT predictions for 2017. It is designed to provide decision makers with an understanding of external drivers which will change and influence the IoT environment over the next 12 months and beyond.
The predictions in this report focus on a number of topics ranging from security, telecommunications choices, AR and VR, through to analytics, artificial intelligence and machine learning.
Table of Contents
Contents
1. Executive Summary 3
2. Security 4
3. Network Connectivity Choices will Remain Confused, 5G Still a Long Way Off for IoT 7
4. Analytics, Artificial Intelligence and Machine Learning 10
5. Privacy Rears its Ugly Head in IoT in 2017 13
6. Fog/Edge Computing will Gain Greater Prominence in 2017 15
7. AR/VR Not Hitting Top Gear in IoT in 2017 17
8. IoT Experience and Skills Shortages 20
9. Assessments of the IoT Blockchain will Grow, Based on Security Fears in 2017 22
10. Conclusions and Recommendations 25
Exhibits
Figure 1: 2016 IoT Deployment and Usage Trends Survey - Challenges 5
Figure 2: NB-IoT Module 7
Figure 3: A Bewildering Array of network choices for Customers Deploying IoT Solutions 8
Figure 4: Comparison of 3GPP Licensed Spectrum Narrowband Cellular IoT Solutions 9
Figure 5: Usage-based Predictive Maintenance Model 10
Figure 6: 2016 IoT Deployment and Usage Trends Survey – Data Collection and Analysis Challenges 11
Figure 7: The Quest for Privacy in the IoT (A Suggested Framework by IEEE) 13
Figure 8: IoT Computing Model incorporating Fog Computing 15
Figure 9: BMW Design Process with Virtual Reality 17
Figure 10: Epson Moverio BT-300 Smart Glasses 18
Figure 11: A Smart Blockchain for the IoT 23
Contents
1. Executive Summary 3
2. Security 4
3. Network Connectivity Choices will Remain Confused, 5G Still a Long Way Off for IoT 7
4. Analytics, Artificial Intelligence and Machine Learning 10
5. Privacy Rears its Ugly Head in IoT in 2017 13
6. Fog/Edge Computing will Gain Greater Prominence in 2017 15
7. AR/VR Not Hitting Top Gear in IoT in 2017 17
8. IoT Experience and Skills Shortages 20
9. Assessments of the IoT Blockchain will Grow, Based on Security Fears in 2017 22
10. Conclusions and Recommendations 25
Exhibits
Figure 1: 2016 IoT Deployment and Usage Trends Survey - Challenges 5
Figure 2: NB-IoT Module 7
Figure 3: A Bewildering Array of network choices for Customers Deploying IoT Solutions 8
Figure 4: Comparison of 3GPP Licensed Spectrum Narrowband Cellular IoT Solutions 9
Figure 5: Usage-based Predictive Maintenance Model 10
Figure 6: 2016 IoT Deployment and Usage Trends Survey – Data Collection and Analysis Challenges 11
Figure 7: The Quest for Privacy in the IoT (A Suggested Framework by IEEE) 13
Figure 8: IoT Computing Model incorporating Fog Computing 15
Figure 9: BMW Design Process with Virtual Reality 17
Figure 10: Epson Moverio BT-300 Smart Glasses 18
Figure 11: A Smart Blockchain for the IoT 23
