Internet of Things Solutions, Business Opportunities, and IoT Forecasts 2015 - 2020
This product is a collection of several individual publications.
The Internet of Things (IoT) is poised to fundamentally transform M2M communications, global IT support systems, and business processes in virtually every industry vertical. IoT will significantly impact wireless (short range and macro networks), network signaling, authentication, and data management systems.
Embedded systems will also be at the cornerstone for IoT deployment, especially within Industrial Internet of Things (IIoT) applications. Data generated through sensors embedded in various things/objects will generate massive amounts of unstructured (big) data on real-time basis that holds the promise for intelligence and insights for dramatically improved decision processes.
Accordingly, there is an emerging significant business opportunity for Cloud Service Providers and Big Data Analytics within IoT. There is an increasingly urgent need for end-to-end security for IoT systems and services as Mind Commerce anticipates that their intrusions will become increasingly impactful leading to the potential for operational disruption, industrial espionage, damage to enterprise assets, and even potential physical harm to human beings.
This research offering is the most comprehensive available covering business drivers, technologies, leading companies and solutions, applications, services, market segments, and future outlook for IoT. Forecasts are provided for 2015 to 2020 for major IoT focus areas including:
Big Data in IoT
Security in IoT
Smart Cities and IoT
IoT and Data as a Service
IoT and Embedded Systems
IoT and the Industrial Internet
This research bundle is value-priced as the sum total of each report purchased individually would be significantly more expensive. 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.
Internet of Things companies
Wireless device manufacturers
Wearable technology suppliers
Digital signal processor providers
Telephony infrastructure providers
Computer and semiconductor companies
Embedded hardware, software and OS providers
Mobile/wireless network operators and service providers
Next generation application developers and content providers
Consumer electronics merchandisers and application 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.