High-profile security breaches, combined with the increased hacking risks of that come with smart devices, raise consumer concerns about the privacy and security of their personal information. However, big data and analytics are key tools for success with connected home products and systems. This report evaluates consumer concerns and preferences, assesses the security and privacy issues in the current market, and looks at best practices for companies to store and use consumer data while providing consumers with the necessary levels of privacy and security.
Table of Contents
1.0 Report Summary
- 1.1 Purpose of Report
- 1.2 Scope of Report
- 1.3 Research Approach/Sources
2.0 Privacy Concerns and Big Data Opportunities Emerge from IoT Expansion
- 2.1 Growth in Connected Home Products and Services
- 2.1.1 Smartphone Forecast (2014-2019)
- 2.1.2 Smart TV Forecast (2012-2019)
- 2.1.3 Forecast for Smart Home Controllers (2013-2019)
- 2.1.4 Networked Medical Devices Forecast (2014-2019)
- 2.1.5 Connected Fitness Devices Forecast (2014-2019)
- 2.2 Growth in Connectivity
3.0 The Data Privacy and Security Ecosystem
- 3.1 Top Ten Threats
- 3.2 Device Vulnerabilities
4.0 The Risks of Data Retention and Costs of Data Breaches
- 4.1 Business Operations Risks
- 4.2 Costs for Companies
5.0 Sources and Value of Big Data
- 5.1 Consumer Profile Data
- 5.2 Personally Identifiable Information (PII)
- 5.3 Media Interaction Data
- 5.4 Quality of Performance Data
- 5.5 Payment Card Industry (PCI) Data
- 5.6 Public Data
- 5.7 Data Moves the Levers: Creating Value from Big Data
- 5.7.1 General Business Value Levers
- 5.7.2 Specific Big Data Levers for the Smart Home Sector
6.0 Consumer Perspectives on Privacy and Big Data
- 6.1 The Risk and Rewards of Big Data for Consumers
- 6.1.1 The Risks
- 6.1.2 The Rewards
- 6.2 Consumer Privacy and Security Concerns for Connected Devices
7.0 Finding the Sweet Spot
- 7.1 Privacy as Incidental to the Product versus Essential Feature
- 7.2 Security as Ancillary versus Core Business Function
- 7.3 Security as Risk Management versus Business Agility
- 7.4 Consumer Education versus Consumer Security-Informed UI
- 7.5 Low Bar versus Best Practices
- 7.6 Proprietary Concern versus Shared Solutions
- 7.7 Big Data versus Smart Data
- 8.1 Glossary
- 8.2 Index of Companies
- Timeline of Device Adoption
- Forecast: Smartphone Unit Sales in U.S.
- Forecast: Smartphone Penetration in U.S.
- Forecast: Unit Sales of Smart TVs in U.S.
- Forecast: Penetration of Smart TVs in U.S. Broadband Households
- Forecast: Smart Home Controller Unit Sales in U.S.
- Forecast: Smart Home Controller Penetration in U.S.
- Forecast: Networked Medical Device Unit Sales in U.S.
- Forecast: Connected Fitness Tracker Unit Sales in U.S.
- Forecast: Connected Fitness Tracker Penetration in U.S.
- Forecast: Global Fixed-Line Broadband Homes
- Forecast: Global Mobile Broadband - 4G/LTE Subscribers
- Data Privacy and Security Ecosystem
- Device Vulnerabilities and Remedies
- Building Security in Maturity Model
- The New Technology Stack
- Smart Home Big Data Levers, Concerns, and Cloud Services
- Level of Privacy & Security Concern by Device Category
- Privacy or Security Concerns for Smart Home Device Owners versus Non-owners
- Leading Privacy and Security Concerns by Device Category
- Effectiveness of Privacy Rights to Relieve Concerns
- Incremental Impact of Privacy Rights on Concerns
- Willingness to Share Data by Owners of Connected CE Devices
- Willingness to Share Data by Owners of Fitness Health Devices
- Willingness to Share Data by Owners of Smart Entry Devices
- Willingness to Share Data for Benefits by Specified Age Groups