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M2M/ IoT, Cloud, Big Data and

Analytics: Market Dynamics

and Opportunities

Category : Computing & Electronics

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Introduction to Report

Launch Date: June 18, 2014

Number of Pages: 74

Geography Coverage: Global

Available Format: PDF

Price For Single User License: USD 1,995

Price For Site User License: USD 2,995

Price For Global User License: USD 4,995

Delivery Time: Within 24 Hours (During Working Days)

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About the Report

Technology and market advances in four separate, yet related, areas are poised to cause disintermediation as well as many market opportunities for companies across a broad spectrum within telecom and digital technologies.

Machine-to-Machine (M2M) has already made a big impact on wireless communications as network operators seek to leverage revenue opportunities beyond human interaction reliant services.

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Research Findings

The evolution of automated processes due to the Internet of Things (IoT) will accelerate this impact. The Cloud supports storage of huge amount of data gathered by M2M applications and also ensures real-time availability of data for further processing and analysis.

Without the processing power and number crunching ability of Big Data and Analytics, the full potential of M2M and IoT would never be realized.

These four factors working in alignment will enable new business opportunities and provide additional benefits to enterprise, which in turn will be passed on to end-consumers.

This research evaluates each of these individually as well as in conjunction with each. This report uniquely focuses on the mutual and conjoint benefits of M2M, Cloud, Big Data and Analytics.

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Target Audience:

Network operators

M2M / IoT platform providers

M2M infrastructure providers

M2M / IoT application developers

Cloud and telecom security companies

Analytics and Data reporting companies

Telecommunications infrastructure providers

M2M equipment and service providers of all types

Cloud infrastructure and support service providers

Data aggregators, storage and management providers

Big Data solution (Infrastructure, Software, Service) vendors

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Report Benefits:

Case Studies

CXO positions on Big Data

Big Data Security and Privacy

Challenges of M2M and Big Data

Applications of M2M and Big Data

Factors Driving M2M Analytics Opportunity

Barriers and Challenges to Cloud Adoption

Businesses Impact of Big Data and Analytics

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Report Coverage

1. Executive Summary2. Introduction3. Aspects Of M2m Application4. Big Data5. Using Data As A Powerful Tool6. Businesses Impact Of Big Data And Analytics7. M2m And Big Data Applications8. Challenges Of M2m And Big Data9. Big Data Strategies10. Big Data Security And Privacy11. Cloud12. Cloud Computing Model13. Barriers And Challenges To Cloud Adoption14. Data Analytics15. Advanced Analytics Tools16. Advanced Analytics Case Studies17. Appendix

For more details regarding Report coverage see the last slide

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