Big Data and Analytics in IoT and M2M

2Q 2016 | Technology Analysis Report | AN-2255 | 23 pages | 6 tables | 5 charts | PDF

Download

Table of Contents

  • 1. FROM INSIGHT TO ACTION: THE BIG DATA ANALYTICS VALUE CHAIN AND RECENT TRENDS
    • 1.1. The Analytics Value Chain
    • 1.2. The Three Phases of Data Analytics
    • 1.3. Key Trends and Observations from 2015
  • 2. UPDATED MARKET FORECASTS
    • 2.1. Revenue by Application
    • 2.2. Revenue by Region
    • 2.3. Revenue by Value Chain Component
    • 2.4. Revenue by Analytic Phase
    • 2.5. Overall Analytics Revenue by Data Type
  • 3. VENDOR LANDSCAPE
    • 3.1. Data Integration
      • 3.1.1. Informatica
      • 3.1.2. Peaxy
      • 3.1.3. Primary Data
      • 3.1.4. Splunk
      • 3.1.5. Talend
    • 3.2. Data Storage
      • 3.2.1. Infobright
      • 3.2.2. MongoDB
      • 3.2.3. ParStream
      • 3.2.4. TempoIQ
    • 3.3. Core Analytics
      • 3.3.1. Blue Yonder
      • 3.3.2. Falkonry
      • 3.3.3. mnubo
      • 3.3.4. Mtell
      • 3.3.5. Predikto
      • 3.3.6. Predixion Software
      • 3.3.7. RapidMiner
      • 3.3.8. Sensewaves
    • 3.4. Data Presentation
      • 3.4.1. CyberLightning
      • 3.4.2. Datawatch
      • 3.4.3. N3N
      • 3.4.4. OnYourMap
      • 3.4.5. Qlik
      • 3.4.6. Space-Time Insight
    • 3.5. Full-stack Software Vendors
      • 3.5.1. IBM
      • 3.5.2. Microsoft
      • 3.5.3. Oracle
      • 3.5.4. SAP
      • 3.5.5. Software AG
      • 3.5.6. Cisco


To continue reading:

Log In or Subscribe