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The IoT Software Market and OEM Ecosystem: Opportunities, Challenges, and Forecast 2015 - 2020

The IoT Software Market and OEM Ecosystem: Opportunities, Challenges, and Forecast 2015 - 2020

The Internet of Things (IoT) will be a driver of substantial software development in infrastructure, platforms, devices, security, applications and services. Original Equipment Manufacturer (OEM) represents an important go-to-market aspect of IoT for early distribution and as a value-add to IoT product capabilities and/or service offerings. IoT also raises Importance of Value-added Resellers (VAR), Systems Integrators (SI), and Independent Software Vendors (ISV).

Most of the products for both hardware and software in IoT will be OEM, meaning that it is developed or built to integrate/embed into infrastructure, device, product and/or service or to extend an IoT enabled product/service portfolio. In 2015, software developers for IoT will have generated revenue of roughly $197 billion through platforms, APIs, applications, controlling systems, security solutions, management and operations. Substantial growth is anticipated through the year 2020.

This research identifies opportunities for software in IoT including Other Equipment Manufacturers (OEM) providers. Mind Commerce also evaluates the market opportunities and outlook for OEM channels and quantifies the markets and business for IoT software. The report includes detailed forecasts for 2015 to 2020. All purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Target Audience:

OEM software developers
IoT service and app developers
Network operators and other CSPs
Big Data and data management companies
IoT software, platform, and infrastructure providers
ISV, SI, and VAR channels for software implementation

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 Introduction
1.1.1 Scope of Study
1.1.2 Intended Audience
1.1.3 Companies Mentioned in the Report
2 Executive Summary
3 Overview
3.1 Consumer IoT Connected Home Entertainment Devices Connected Home Security and Monitoring Devices Connected Home Energy Conservation Devices Connected Home Utility Monitoring Devices Connected Car Wearables
3.2 Industrial IoT (IIoT) Smart Manufacturing Smart Utility Smart Tracking Smart Instrumentation in Oil and Gas Industry Smart Healthcare
3.3 Overall Market for IoT 2015 - 2020
4 IoT Ecosystem
4.1 Global Forecast for IoT Ecosystem by Segment
4.2 Regional Markets for IoT Ecosystem: 2015 – 2020
5 IoT Software
5.1 Defining IoT Software
5.2 Core Use of Software in IoT
5.2.1 Connecting Zigbee OASIS MQTT (Message Queuing Telemetry Transport) XMPP (Extensible Messaging and Presence Protocol) AMQP (Advanced Message Queuing Protocol) Data Distribution Service (DDS)
5.2.2 Thread
5.2.3 Collecting
5.2.4 Analyzing and Delivering
5.3 Supporting Software in IoT
5.3.1 Software Platforms Cloud Platforms Fog Computing and Cloud Platforms
5.3.2 Security Solutions for IoT
5.3.3 IoT Applications
6 IoT and OEM Systems
6.1.1 Key Job Function of Implementation Partners
6.1.2 IoT Raises Importance of VARs, SIs, and ISVs
6.2 Demand for Industry Vertical Specialists Implementation Partners will Increase
7 Global IoT Software and OEM System Market 2015 – 2020
7.1 Global IoT Software Market 2015 - 2020
7.2 Regional Markets for IoT Software 2015 – 2020
7.3 Markets for IoT Software by Sales Channel 2015 – 2020
7.4 Markets for OEM Software by Channel Partners
8 Key Players in IoT Ecosystem
8.1 Software Developers
8.1.1 AGT International
8.1.2 Amdocs
8.1.3 Bayshore Networks
8.1.4 Bosch Software innovations: Bosch IoT Suite
8.1.5 Contiki
8.1.6 GE Software
8.1.7 Lynx Software Technologies, Inc.
8.1.8 MongoDB Inc.
8.1.9 Netgem
8.1.10 Oregan Networks Ltd.
8.1.11 Parstream
8.1.12 RIOT
8.1.13 SmartThings
8.1.14 Symantec
8.1.15 Wind River
8.2 IoT Services
8.2.1 Aeris Communications
8.2.2 Ayla Networks
8.2.3 Jasper
8.2.4 MachineShop Inc.
8.2.5 NEC Corporation
8.2.6 Unisys Corporation
Figure 1: Global IoT Markets 2015 - 2020
Figure 2: IoT Vendor Ecosystem
Figure 3: IoT Markets by Segment of Ecosystem 2015 - 2020
Figure 4: IoT Ecosystem: Market by Region 2015 – 2020
Figure 5: Core Use of Software in IoT
Figure 6: Framework for Big Data in IoT
Figure 7: Fog Computing and IoT
Figure 8: IoT Software Distribution Channels
Figure 9: IoT Software Global Market 2015 - 2020
Figure 10: Regional Markets for IoT Software 2015 - 2020
Figure 11: IoT Software Markets by Sales Channel 2015 - 2020
Figure 12: IoT Software Markets by Device Manufacturers 2015 - 2020
Figure 13: IoT Software Markets by CSPs and ISPs 2015 - 2020
Figure 14: IoT Software Markets by ISV, VAR, and SI Companies 2015 - 2020
Figure 15: IoT Software Markets by Data and Analytics Providers 2015 - 2020
Figure 16: IoT Software Markets by OEM Sales Channel 2015 - 2020
Table 1: Global IoT Markets 2015 - 2020
Table 2: IoT Markets by Segment (H/W, S/W, Services, Devices) 2015 - 2020
Table 3: IoT Ecosystem: Market by Region 2015 – 2020
Table 4: Global IoT Software Market 2015 - 2020
Table 5: Regional Markets for IoT Software 2015 - 2020
Table 6: IoT Software Markets by Sales Channel 2015 - 2020
Table 7: IoT Software Markets by OEM Sales Channel 2015 - 2020

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