Brochure
More information from http://www.researchandmarkets.com/reports/2888831/
M2M/IoT, Cloud, Big Data and Analytics: Market Dynamics and Opportunities
Description: 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. 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.
All purchases of this report 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.
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 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
3.1 CXOs' take on Big Data
4.0 USING DATA AS A POWERFUL TOOL 4.1 Social Sensor Cloud (SSC)
4.2 Virtual Sensors
5.0 BUSINESSES IMPACT OF BIG DATA AND ANALYTICS 5.1 Big Data: The Road to Decision-making not the Destination 5.2 Correlation of Data from Different Sources
5.3 Big Data Myth-busters for Management 6.0 M2M AND BIG DATA APPLICATIONS 6.1 Wireless Carriers 6.2 Smart Cars 6.3 Auto Insurance 6.4 Insurance 6.5 Smart Homes 6.6 Healthcare 6.7 Utility 6.8 Energy Management 6.9 Robotics 6.10 Logistics 6.11 Asset Tracking 6.12 Manufacturing
6.13 Supply Chain for Auto Manufacturers 6.14 Security and Surveillance
6.15 Enterprise in any Sector
7.0 CHALLENGES OF M2M AND BIG DATA 7.1 Privacy and Data Ownership
7.2 Authenticity and Security 7.3 Specialized Skill-set Required 7.4 Change in approach
8.0 BIG DATA STRATEGIES 8.1 Do-it-Yourself (DIY) Model 8.2 Database as a service (DBaaS) 8.3 Managed Service Providers (MSP) 8.4 One-button-Deploy Technology 9.0 BIG DATA SECURITY AND PRIVACY 9.1 Security Updates
9.2 Data Encryption
9.3 Choosing the Right Encryption Solution 9.4 Big Data to Detect Malicious Behavior 10.0 CLOUD
11.3.1 Private Cloud 11.3.2 Public Cloud 11.3.3 Community Cloud 11.3.4 Hybrid Cloud
11.4 Benefits of Cloud Computing 11.5 Strategic fit for Cloud Adoption 11.6 M2M and Cloud Integration 11.7 Analysis
12.0 BARRIERS AND CHALLENGES TO CLOUD ADOPTION 12.1 Reluctance to Change
12.2 Outsourcing Data Security 12.2.1 Loss of Control
12.3 Security Concerns 12.4 Cyber Attacks
12.4.1 Severe Budget Restrictions of SMEs 12.4.2 Prolific use of Internet
12.5 Unclear SLAs
12.5.1 Unclear SLA Terms for Downtime 12.5.2 Secondary CSPs
12.5.3 Entitlement to Credit for Downtime 12.5.4 Calculating Up-time
12.5.5 Different Cloud Services have Different SLAs 12.6 Complexity restricts Adoption
12.6.1 Inherent Complexity in the Cloud Computing Environment 12.6.2 Integration of Processes is a Complex Task
12.6.3 Integration Problems with SAAS Deployment 12.6.4 API Management
12.6.5 Determine the Best way to Integrate Data 12.7 Cloud Interoperability
12.7.1 Option of cloud interoperability 12.7.2 Moving Applications between Clouds 12.8 Audit of Service Provider
12.8.1 Industry Best Practices are still Developing 12.8.2 Resistance to Audit Signals Caution 12.8.3 Resistance of CSPs to allow Elaborate Tests 12.8.4 Audits build Confidence among Reluctant SMEs 12.9 Viability of Third-party Providers
12.10 Acceptance Issues 12.11 Cost Considerations
12.12 Lack of Integration Features in the Public Cloud 13.0 DATA ANALYTICS
13.1 Factors Driving M2M Analytics Opportunity 13.1.1 M2M Data Growth
13.1.2 New Analytical Technologies
13.1.3 Enhanced Business Models through Data Analysis 13.2 Important Factors for success in M2M Analytics Market 13.3 Competitive Vendor Analysis
13.3.1 Device Manufacturers 13.3.2 SI and Professional Services 13.3.3 Management Platform Providers 13.3.4 Software and Application Developers 13.3.5 Communication Service Providers 14.0 ADVANCED ANALYTICS TOOLS 15.0 ADVANCED ANALYTICS CASE STUDIES
15.1 Case One: Using analytics to Identify Interdependencies among different Process Parameters 15.1.1 The Challenge
15.1.2 The Solution 15.1.3 The Result
15.2.1 The Challenge 15.2.2 The Solution 15.2.3 The Result
15.3 Case Three: Use Production Data to identify Gaps 15.3.1 The Challenge 15.3.2 The Solution 15.3.3 The Result 16.0 CONCLUSIONS 17.0 APPENDIX LIST OF FIGURES
Figure 1: Aspects of M2M Application Figure 2: Five Factors of Big Data
Figure 3: New Interest over Time: Big Data vs. Cloud Computing Figure 4: Adoption Index
Figure 5: Risk of Forest Fires Figure 6: Google's Self-driving Car
Figure 7: Snapshot device by Progressive Insurance Figure 8: Model of Smart City Sangdo
Figure 9: Data Reliability/Security Diminishing over Time Figure 10: The M2M Cloud
Figure 11: IaaS Figure 12: PaaS Figure 13: SaaS
Figure 14: Cloud Computing Service by Deployment Mode Figure 15: Cloud Application and Services Priorities Figure 16: Barriers and Challenges to Cloud Adoption Figure 17: Factors Driving M2M Analytics Opportunity
Figure 18: Value Creation Mechanisms through M2M Analytics Figure 19: Competitive Vendor Analysis
Figure 20: Example of Histogram
Figure 21: Examples of Correlation Analysis Figure 22: Examples of Significance Testing Figure 23: Example of Artificial Neural Network
Ordering: Order Online - http://www.researchandmarkets.com/reports/2888831/
Order by Fax - using the form below
Order by Post - print the order form below and send to Research and Markets,
Page 1 of 2
Fax Order Form
To place an order via fax simply print this form, fill in the information below and fax the completed form to 646-607-1907 (from USA) or +353-1-481-1716 (from Rest of World). If you have any questions please visit
http://www.researchandmarkets.com/contact/
Order Information
Please verify that the product information is correct and select the format(s) you require.
Product Formats
Please select the product formats and quantity you require:
Contact Information
Please enter all the information below in BLOCK CAPITALS
Product Name: M2M/IoT, Cloud, Big Data and Analytics: Market Dynamics and Opportunities Web Address: http://www.researchandmarkets.com/reports/2888831/
Office Code: SC
Quantity
Electronic (PDF)
-Single User: USD 1995 Electronic (PDF)
-Enterprisewide: USD 4995 Electronic (PDF)
-1 - 5 Users: USD 2995
Title: Mr Mrs Dr Miss Ms Prof
First Name: Last Name:
Email Address: * Job Title: Organisation: Address: City:
Postal / Zip Code: Country:
Phone Number: Fax Number:
Page 2 of 2
Payment Information
Please indicate the payment method you would like to use by selecting the appropriate box.
Please fax this form to:
(646) 607-1907 or (646) 964-6609 - From USA
+353-1-481-1716 or +353-1-653-1571 - From Rest of World
Pay by credit card: You will receive an email with a link to a secure webpage to enter yourcredit card details.
Pay by check: Please post the check, accompanied by this form, to: Research and Markets,
Guinness Center, Taylors Lane, Dublin 8, Ireland.
Pay by wire transfer: Please transfer funds to:
Account number 833 130 83
Sort code 98-53-30
Swift code ULSBIE2D
IBAN number IE78ULSB98533083313083 Bank Address Ulster Bank,
27-35 Main Street, Blackrock, Co. Dublin, Ireland. If you have a Marketing Code please enter it below:
Marketing Code:
