NEW YORK, Nov. 11, 2015 /PRNewswire/ --
Billions of devices generate data associated with various enterprise and consumer lifestyle events such as shopping activity, utility usage and other smart grid data, advertisement response, status of goods in transport, weather forecasts, traffic conditions, vehicle maintenance, public transport, downloads and usage of applications, and much more.
Big Data and Analytics software and applications will play a crucial role in making IoT a success. The 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. However, Big Data in IoT is different than conventional IoT and thus will require more robust, agile and scalable platforms, analytics tools, and data storage systems than conventional Big Data infrastructure.
This research provides in depth qualitative analysis as well as forecasts through 2020. The report evaluates key business trends in Big Data deployments relative to IoT and assesses what companies doing in this area to generate a strong market share. 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.
Telecom network operators
Embedded systems companies
Telecom infrastructure suppliers
Big Data and analytics companies
Data as a Service (DaaS) companies
Application developers and aggregators
Cloud-based service providers of all types
Managed service and middleware companies
Data processing and management companies
Application Programmer Interface (API) companies
Identity management, privacy, and security companies
Public investment organizations including investment banks
Sensor, presence, location, and detection solution providers
Private investment including hedge funds and private equity
Forecasts (global, regional, and by industry) to 2020
Understand the role and importance of Big Data in IoT
Identify the early beneficiaries and longer-term winners
Identify key market issues and drivers for Big Data in IoT
Identify leading companies for Big Data and Analytics in IoT
Identify emerging trends and implications for Big Data in IoT
Understand the emerging vendor ecosystem for Big Data in IoT
Understand the impact on infrastructure, products, and services
Learn about the differences between Big Data with and without IoT
Identify areas for infrastructure, platform, and software investment
Read the full report: http://www.reportlinker.com/p02869636-summary/view-report.html
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