7.4.4 Data Mining
7.4.5 Predictive Analytics
7.4.6 Natural Language Processing
7.4.7 Text Analytics
7.4.8 Visual Analytics
7.4.9 Association Rule Learning
7.4.10Classification Tree Analysis
7.4.11Machine Learning
7.4.12Neural Networks
7.4.13Multilayer Perceptron (MLP)
7.4.14Radial Basis Functions
7.4.15Geospatial Predictive Modelling
7.4.16Regression Analysis
7.4.17Social Network Analysis

8 Standardization and Regulatory Initiatives
8.1 Cloud Standards Customer Council
8.2 National Institute of Standards and Technology
8.3 OASIS
8.4 Open Data Foundation
8.5 Open Data Center Alliance
8.6 Cloud Security Alliance
8.7 International Telecommunications Union
8.8 International Organization for Standardization

9 Global Markets and Forecasts for Big Data
9.1 Global Big Data Markets 2018 - 2023
9.2 Regional Markets for Big Data 2018 - 2023
9.3 Leading Countries in Big Data
9.3.1 United States
9.3.2 China
9.4 Big Data Revenue by Product Segment 2018 - 2023
9.4.1 Database Management Systems
9.4.2 Big Data Integration Tools
9.4.3 Application Infrastructure and Middleware
9.4.4 Business Intelligence Tools and Analytics Platforms
9.4.5 Big Data in Professional Services

10 Key Big Data Players
10.1 Vendor Assessment Matrix
10.2 1010Data (Advance Communication Corp.)
10.3 Accenture
10.4 Actian Corporation
10.5 Alteryx
10.6 Amazon
10.7 Anova Data
10.8 Apache Software Foundation
10.9 APTEAN (Formerly CDC Software)
10.10 Booz Allen Hamilton
10.11 Bosch Software Innovations: Bosch IoT Suite
10.12 Capgemini
10.13 Cisco Systems
10.14 Cloudera
10.15 CRAY Inc.
10.16 Computer Science Corporation (CSC)
10.17 DataDirect Network
10.18 Dell EMC
10.19 Deloitte
10.20 Facebook
10.21 Fujitsu
10.22 General Electric (GE)
10.23 GoodData Corporation
10.24 Google
10.25 Guavus
10.26 HP Enterprise
10.27 Hitachi Data Systems
10.28 Hortonworks
10.29 IBM
10.30 Informatica
10.31 Intel
10.32 Jasper (Cisco Jasper)
10.33 Juniper Networks
10.34 Longview
10.35 Marklogic
10.36 Microsoft
10.37 Microstrategy
10.38 MongoDB (Formerly 10Gen)
10.39 MU Sigma
10.40 Netapp
10.41 NTT Data
10.42 Open Text (Actuate Corporation)
10.43 Opera Solutions
10.44 Oracle
10.45 Pentaho (Hitachi)
10.46 Qlik Tech
10.47 Quantum
10.48 Rackspace
10.49 Revolution Analytics
10.50 Salesforce
10.51 SAP
10.52 SAS Institute
10.53 Sisense
10.54 Software AG/Terracotta
10.55 Splunk
10.56 Sqrrl
10.57 Supermicro
10.58 Tableau Software
10.59 Tata Consultancy Services
10.60 Teradata
10.61 Think Big Analytics
10.62 TIBCO
10.63 Verint Systems
10.64 VMware (Part of EMC)
10.65 Wipro
10.66 Workday (Platfora)

11 Appendix: Big Data Support of Streaming IoT Data
11.1 Big Data Technology Market Outlook for Streaming IoT Data
11.1.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
11.1.2 IoT Data becomes a Big Data Revenue Opportunity
11.1.3 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity
11.2 Global Streaming IoT Data Analytics Revenue
11.2.1 Overall Streaming Data Analytics Revenue for IoT
11.2.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
11.2.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
11.3 Regional Streaming IoT Data Analytics Revenue
11.3.1 Revenue in Region
11.3.2 APAC Market Revenue
11.3.3 Europe Market Revenue
11.3.4 North America Market Revenue
11.3.5 Latin America Market Revenue
11.3.6 ME&A Market Revenue
11.4 Streaming IoT Data Analytics Revenue by Country
11.4.1 Revenue by APAC Countries
11.4.2 Revenue by Europe Countries
11.4.3 Revenue by North America Countries
11.4.4 Revenue by Latin America Countries
11.4.5 Revenue by ME&A Countries

Streaming IoT Data Market Outlook and Forecasts 2018 - 2023

1 Introduction
1.1 Research Background
1.2 Research Scope
1.3 Target Audience
1.4 Companies Covered

2 Executive Summary

3 Overview
3.1 Understanding IoT Data
3.1.1 IoT Data vs. other Unstructured Data
3.1.2 Key IoT Data Characteristics
3.1.2.1 IoT Data is Real Time
3.1.2.2 Massive Volumes of IoT Data
3.1.2.3 IoT Data Generates Useful Insights
3.2 IoT Data Management Operations
3.2.1 Basic Data Implementation and Operational Challenges
3.2.1.1 IoT Data Scalability
3.2.1.2 IoT Data Integration
3.2.2 Data Management and Processing Raw Data
3.2.3 Centralized Storage and Decentralized Processing
3.2.4 Accessing and Exchanging IoT Data via APIs
3.2.5 Data Security and Personal Information Privacy
3.4 Market Outlook for IoT Data Analytics
3.4.1 IoT Data Management is a Ubiquitous Opportunity across Enterprise
3.4.2 IoT Data becomes a Big Revenue Opportunity
3.4.3 Organizations increasing Adopt Predictive Analytics with IoT Data
3.5 Real-time Streaming IoT Data Analytics becoming a Substantial Business Opportunity

4 Vendor Analysis
4.1 Accenture
4.2 AGT International
4.3 Bosch Software Innovations
4.4 Capgemini
4.5 Cisco Systems, Inc.
4.6 GE Digital
4.7 Google
4.8 Intel Corporation
4.9 Lynx Software Technologies, Inc.
4.10 Maana, Inc.
4.11 Microsoft Corporation
4.12 MongoDB Inc.
4.13 ParStream (Cisco)
4.14 PTC
4.15 RIOT
4.16 SAP SE
4.17 SQLstream, Inc.
4.18 Tellient
4.19 Teradata Corporation
4.20 Wind River

5 Streaming IoT Data Analytics Revenue 2018 - 2023
5.1 Global Streaming Data Analytics Revenue for IoT
5.2 Global Streaming IoT Data Analytics Revenue by App, Software, and Services
5.3 Global Streaming IoT Data Analytics Revenue in Industry Verticals
5.3.1 Streaming IoT Data Analytics Revenue in Retail
5.3.1.1 Streaming IoT Data Analytics Revenue by Retail Segment
5.3.1.2 Streaming IoT Data Analytics Retail Revenue by App, Software, and Service
5.3.2 Streaming IoT Data Analytics Revenue in Telecom and IT
5.3.2.1 Streaming IoT Data Analytics Revenue by Telecom and IT Segment
5.3.2.2 Streaming IoT Data Analytics Revenue by Telecom & IT App, Software, and Service
5.3.3 Streaming IoT Data Analytics Revenue in Energy and Utility
5.3.3.1 Streaming IoT Data Analytics Revenue by Energy and Utility Segment
5.3.3.2 Streaming IoT Data Analytics Energy and Utilities Revenue by App, Software, and Service
5.3.4 Streaming IoT Data Analytics Revenue in Government
5.3.4.1 Streaming IoT Data Analytics Revenue by Government Segment
5.3.4.2 Streaming IoT Data Analytics Government Revenue by App, Software, and Service
5.3.5 Streaming IoT Data Analytics Revenue in Healthcare and Life Science
5.3.5.1 Streaming IoT Data Analytics Revenue by Healthcare Segment
5.3.6 Streaming IoT Data Analytics Revenue in Manufacturing
5.3.6.1 Streaming IoT Data Analytics Revenue by Manufacturing Segment
5.3.6.2 Streaming IoT Data Analytics Manufacturing Revenue by App, Software, and Service
5.3.7 Streaming IoT Data Analytics Revenue in Transportation & Logistics
5.3.7.1 Streaming IoT Data Analytics Revenue by Transportation & Logistics Segment
5.3.7.2 Streaming IoT Data Analytics Transportation & Logistics Revenue by App, Software, and Service
5.3.8 Streaming IoT Data Analytics Revenue in Banking and Finance
5.3.8.1 Streaming IoT Data Analytics Revenue by Banking and Finance Segment
5.3.8.2 Streaming IoT Data Analytics Revenue by Banking & Finance App, Software, and Service
5.3.9 Streaming IoT Data Analytics Revenue in Smart Cities
5.3.9.1 Streaming IoT Data Analytics Revenue by Smart City Segment
5.3.9.2 Streaming IoT Data Analytics Revenue by Smart City App, Software, and Service
5.3.10 Streaming IoT Data Analytics Revenue in Automotive
5.3.10.1 Streaming IoT Data Analytics Revenue by Automobile Industry Segment
5.3.10.2 Streaming IoT Data Analytics Revenue by Automotive Industry App, Software, and Service
5.3.11 Streaming IoT Data Analytics Revenue in Education
5.3.11.1 Streaming IoT Data Analytics Revenue by Education Industry Segment
5.3.11.2 Streaming IoT Data Analytics Revenue by Education Industry App, Software, and Service
5.3.12 Streaming IoT Data Analytics Revenue in Outsourcing Services
5.3.12.1 Streaming IoT Data Analytics Revenue by Outsourcing Segment
5.3.12.2 Streaming IoT Data Analytics Revenue by Outsourcing Industry App, Software, and Service
5.4 Streaming IoT Data Analytics Revenue by Leading Vendor Platform
5.4.1 Global Investment in IoT Data by Industry Sector 2018 - 2023