Industrial Internet of Things (IIoT): Key Trends, Opportunities and Market Forecasts 2015 - 2020
The Internet of Things (IoT) will overtake human communications rapidly as there are vastly more objects in the world than humans, they can communicate much faster, much more frequently, and for many more reasons than humans. Industrial IoT (IIoT) represents a very important segment, which includes manufacturing, automation, and virtually any process or operation that does not directly involve direct consumer interaction.
Initially focusing on improving existing processes and augmented current infrastructure, IIoT will evolve to encompass next generation methods and procedures such as “teleoperation” (operation of a machine at a distance), tele-robotics, and other areas that rely upon interface and control of real objects by virtual objects. Mind Commerce sees IIoT as one of the leading areas for overall IoT adoption due to many factors including the incidence of many high value use case scenarios, which is an issue for many consumer oriented applications and services.
IoT will not be only facilitate connections between the physical to Internet but will involve various other components such as software platforms, software applications, sensors, actuators, routers, cloud services, Big Data, Cloud analytics, etc. The cumulative market for IIoT will rapidly grow in an exponential manner with the addition of various synergistic technologies, services and products.
This research evaluates the technologies, companies, solutions, and market outlook for IIoT. The report evaluates key trends, analyzes market drivers, and provides forecasting for IIoT for the 2015 – 2020 period. 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.
Industrial IIoT forecasts to 2020
Identify growth factors for IIoT market
Identify leading applications and services
Understand market challenges and opportunities
Identify leading companies involved in IIoT realization
Understand the differences between IIoT and consumer IoT
Telecom service providers
Embedded systems companies
Systems integration companies
Wireless device manufacturers
Systems integration companies
Sensors and actuators suppliers
Telecom and IT infrastructure suppliers
IoT and connected industrial service providers
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.
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.
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