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Internet of Things (IOT) Leaders: Oracle

Internet of Things (IOT) Leaders: Oracle

The world is moving beyond standalone devices into a new era in which everything is connected. The Internet of Things (IoT) refers to uniquely identifiable objects (things) and their virtual representations in an Internet-like structure. Stated differently, the concept involves the notion that there are many things (assets, objects, etc.) in the world that may be addressed/labeled/cataloged for various purposes. One term used for this concept is “Object Hyperlink”, which refers to the notion of extending the Internet to objects and locations in the real world. In other words, the Internet is associated with (or mapped to) the real world by attaching object tags with URLs as meta-objects to tangible objects or locations.

In all cases, there is a need for communication, which may occur over great distances or within close proximity to the item. Examples include everything from telemetry applications such as monitoring remote electric utility infrastructure via wireless connections via machine-to-machine (M2M) connections to proximity applications such as reader-tag interactions that occur via Radio Frequency Identification (RFID) solutions involving Near Field Communications (NFC) or other methods.

Leading companies in IoT are the pioneers in establishing the vision, infrastructure, technologies, and solutions for the networks, applications, and solutions that will power the future of non-human communications.

As part of its series of reports focused on Internet of Things (IoT) Leaders, this report evaluates: Oracle

This report is a must-read for anyone interested to learn more about IoT, leading companies, technologies, and solutions.

Save time and gain valuable insights into the current status of IoT, future direction, and market opportunities.

Target Audience:

  • Semiconductor companies
  • Embedded systems companies
  • Application developers and aggregators
  • Managed service and middleware companies
  • Wireless network operators and service providers
  • Data management and predictive analysis companies
  • Sensor, presence, location, and detection solution providers
  • Internet identity management, privacy, and security companies
  • M2M, Internet of Things (IoT), and general telecommunications companies
  • Wireless infrastructure (cellular, WiMAX, WiFi, RFID/NFC, and Beacon) providers


General Methodology

Mind Commerce Publishing's research methodology encompasses input from a wide variety of sources.

We rely heavily upon our Subject Matter Experts (SME) in terms of their market knowledge, unique perspective, and vision. We utilize SME industry contacts as well as previous customers and participants in our market surveys and interactive interviews.

In addition, we rely upon our extensive internal database, which contains modeling, qualitative analysis, and quantitative data. We review secondary sources and compare to our primary sources to update previous findings (for prior version reports) and/or compile baseline information for technology and market modeling.

We share preliminary models with industry contacts (select previous clients, experts, and thought leaders) to verify the veracity of initial modeling. Prior to final report production (analysis, findings, and conclusions), we engage in an internal review with internal SMEs as well as cross-expertise, senior staff members to challenge results.

We believe that forecasts should be prepared as part of an integrated process which involves both quantitative as well as qualitative factors. We follow the following 3-step process for forecasting.

Forecasting Methodology

Step 1 - Forecasts Input: The inputs for the present and historical revenues are derived from industry players. Financial and other quantitative data for individual sub-market categories are derived from original research and tested with interviews with major industry constituents.

Step 2 - Forecasting of Future Years: Mind Commerce extends forecasts based on a variety of factors including demand drivers as well as supply side data. Key success factors and assumptions are considered.

Step 3 - Validation of Data: The final step is to validate projections, which is accomplished in consultation with both internal and external industry experts, including both topic and regional experts. Adjustments are made to the forecasts based on factors identified throughout this process.


1.0 Quick Facts
2.0 Introduction
2.1 History
2.1.1 Oracle Products And Services
2.2 Mission
2.3 Values
2.4 Key Business Groups
2.4.1 Oracle Cloud Solutions
2.4.2 Oracle Database
2.4.3 Oracle Fusion Middleware
2.4.4 Oracle Applications
2.4.5 Oracle Engineered Systems
2.4.6 Oracle Servers
2.4.7 Oracle Storage
2.4.8 Oracle Services
2.4.9 Oracle Cloud Services
2.4.10 Oracle Consulting
2.4.11 Oracle Financing
2.4.12 Oracle University
2.5 Key Competitors
3.0 Leadership
3.1 Key People
3.2 Executive Team Profile
4.0 Financials
4.1 Valuation Ratios
4.2 Profitability (%)
4.3 Capital Structure Ratios
4.4 Efficiency
4.5 Liquidity Ratios
5.0 Internet Of Things
5.1 Oracle’s Commitment To Iot
5.1.1 Machine To Machine (M2m) Communication
5.1.2 Intelligent Devices And Secure System
5.1.3 Middleware And Applications
5.1.4 Java Embedded Gateways
5.1.5 Intelligent Analytics
5.2 Key Executives & Profile
5.3 Oracle’s Vision For Internet Of Things
5.3.1 Six Cogs Of The Internet Of Things Wheels Of Oracle
5.4 Iot Applications
5.4.1 Smart City
5.4.2 Remote Monitoring Service
5.5 Iot Technology Factsheet
5.5.1 Embedded Java Technology
5.5.2 Oracle Soa Suite
5.5.3 Oracle Business Process Management Suite
5.5.4 Oracle Identity Management
5.5.5 Oracle Database Security
5.5.6 Oracle Managed Cloud Services
5.5.7 Oracle Mobile Platform
5.6 Iot Solutions
5.6.1 Cellular Machine To Machine Communication: Cinterion
5.6.2 Smart Grid: Electro
5.6.3 Machine To Machine Service: Hughes Telematics
5.7 Latest News And Happenings
Tables & Figures
Table 1: Quick Facts
Table 2: Valuation Ratios
Table 3: Profitability Ratios
Table 4: Capital Structure Ratios
Table 5: Efficiency Ratios
Table 6: Liquidity Ratios
Figure 7: Remote Monitoring Service
Figure 8: ADF mobile application for remote operations
Figure 9: M2M Solutions from Hughes Telematics

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