Internet of Things (IoT) and Wireless Networks: Technologies, Business Drivers, and Market Outlook
The world is moving beyond standalone devices into a new era where 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. The Internet is associated with and mapped to the real world by attaching object tags with URLs as meta-objects to tangible objects or locations.
In addition to the wireless technologies that make connecting different things possible, there are wide number of technologies that gain benefit from the IoT or support it. Since the technology of IoT will have an unlimited number of devices there will many of technologies evolved whether to deploy, manage or even identify things.
This research addresses the business drivers, technologies and future outlook for the Internet of Things (IoT) with an emphasis on business opportunities, industry sectors, and leading applications. The report includes analysis of leading sectors to adopt IoT: Connected Homes, Connected Vehicles, and Industrial Internet. The report also includes analysis of key issues and success factors for the long-term success of IoT.
- Identify business drivers for IoT
- Identify leading IoT applications
- Understand IoT supporting technologies
- Identify key issues for the long term success of IoT
- Understand the dynamics of IoT in leading industry verticals
- Obtain reports on IoT leaders: Intel, Oracle, Cisco, and Qualcomm
- 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
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.