Retail Customer Analytics: Technologies, Markets, and Revenues

This report focuses on in-store retail analytics technologies, applications, and revenues. Traditionally this market has focused on footfall/people counting and queue management, largely based on thermal imaging and camera analytics technologies. However, the arrival of online retail coupled with an economic recession in many major retail regions has forced brick and mortar stores to look at ways to maximize the revenue opportunity in-store. The arrival of smartphones also represents a new paradigm, not only enabling real-time analytics throughout the store, but also the ability to pull in even richer, anonymous information about shoppers, as well as placing both a communication and advertising medium in their hands, fundamentally changing the way they shop. As result, a range of indoor location and smartphone-based analytics tools have emerged in the last 2 years, enabling retailers to develop omni-channel marketing techniques. 

This report aims to identify the impact of these new high accuracy analytics technologies and determine if they are complimentary or competitive with existing technologies. The report considers a range of technologies (thermal imaging, 2D camera, 3D camera, Bluetooth, Wi-Fi, cellular/small cell), outlining major analytics capabilities and limitations and long-term evolution paths. Each technology is forecast across 10 retail sectors, outlining total installations and resulting analytics revenue. The report also looks at the emerging companies and technologies that will represent future technology evolutions in this space.

  • 1. INTRODUCTION
    • 1.1. Analysis Scope and Introduction
    • 1.2. Next-generation Analytics Services
    • 1.3. Worldwide Forecasts
  • 2. IN-STORE ANALYTICS TECHNOLOGIES
    • 2.1. Infrared Thermal Imaging
      • 2.1.1. Long-term Evolution Path
    • 2.2. 2D Camera Analytics
      • 2.2.1. The Emergence of SaaS and On-the-edge Technology
      • 2.2.2. Surveillance Is Still Important
      • 2.2.3. Facial Recognition Is Still in Its Infancy
      • 2.2.4. Don't Underestimate Wi-Fi for Hybridization
      • 2.2.5. Long-term Evolution
    • 2.3. 3D Camera Analytics
      • 2.3.1. Current Market
      • 2.3.2. Smartphone Structured Light and 3D SLAM
      • 2.3.3. 3D as an Indoor Location Technology
      • 2.3.4. Microsoft Bringing Kinect to Retail: Potential Game Changer
      • 2.3.5. Key Benefits of 3D for Analytics
  • 3. SMARTPHONE-BASED RETAIL ANALYTICS TECHNOLOGIES
    • 3.1. Bluetooth Indoor Location and Analytics
      • 3.1.1. BLE-beacon Vendors Evolving
      • 3.1.2. The Shift to Hybridized Analytics
      • 3.1.3. BLE Integrated into Other Retail Technology
      • 3.1.4. BLE Networks for SMEs
      • 3.1.5. BLE Beacon Meshing Is Coming
      • 3.1.6. Bluetooth 4.2 Privacy
      • 3.1.7. Samsung Placedge
      • 3.1.8. Long-term Evolution
    • 3.2. Wi-Fi Indoor Location and Analytics
      • 3.2.1. MAC Address Randomization
      • 3.2.2. Wi-Fi Big in 2015 / 2016?
      • 3.2.3. Long-term Evolution
    • 3.3. Cellular / Small Cell Indoor Location and Analytics
      • 3.3.1. The Impact of E911
      • 3.3.2. Carrier Wi-Fi
      • 3.3.3. Carriers Are Also Supporting Dedicated Location Technology
      • 3.3.4. Long-term Evolution
    • 3.4. Emerging Smartphone Technologies
      • 3.4.1. Audio
      • 3.4.2. LED / VLC
      • 3.4.3. Magnetic-field Technology
      • 3.4.4. RFID, Inventory Analytics, and Dynamic Pricing
      • 3.4.5. LTE-Direct

Charts

  1. Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2018
  2. Retail Analytics Revenue, Split by Vertical Market, World Market, Forecast: 2013 to 2018
  3. IR Thermal Retail Imaging Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
  4. 2D Camera Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
  5. 3D Camera Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
  6. Bluetooth Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
  7. Wi-Fi Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
  8. Cellular / Small Cell Retail Analytics Technology Installations, Split by Vertical Market, World Market, Forecast: 2013 to 2019
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Research Information

Price
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Publish Date
1Q 2015
Code
AN-1333
Research Type
Business Models Analysis Report
Pages
21