Global Cloud Analytics Market 2015-2019

Global Cloud Analytics Market 2015-2019

Category : ICT & Media
Published On : February  2015
Pages : 85



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About Cloud Analytics
Cloud analytics has emerged from the integration of cloud computing and data analytics solution. It also acts as a service model, where data analysis takes place and provided through public or private cloud. Cloud analytics vendors offer services under subscription based or pay-per-use model. Various cloud analytics products are hosted data warehouse, cloud-based BI solution, and SaaS-based social media analytics. Hosted data warehouse is a main data repository system from where the data are made available for analysis. Cloud business intelligence solution involves providing business analytics solutions to customers in low cost and in effective way. SaaS-based social media analytics involves remote positioning of various tools which help collect data and analyze the trend and pattern of visitors and serve customers in a better way.

TechNavio's analysts forecast the Global Cloud Analytics market to grow at a CAGR of 26.29 percent over the period 2014-2019.

Covered in this Report
This report covers the present scenario and the growth prospects of the Global Cloud Analytics market for the period 2015-2019. To calculate the market size, the report considers revenue generated from cloud analytics solutions, software, tools, applications, services, support, and maintenance.
TechNavio's report, the Global Cloud Analytics Market 2015-2019, has been prepared based on an in-depth market analysis with inputs from industry experts. The report covers the Americas, and the APAC and EMEA regions; it also covers the Global Cloud Analytics market landscape and its growth prospects in the coming years. The report includes a discussion of the key vendors operating in this market.

Key Regions
• Americas
• APAC
• EMEA

Key Vendors
• HP
• IBM
• Microsoft 
• Oracle
• SAP 

Other Prominent Vendors
 • Actuate
• Adaptive insights
• BIME
• Birst
• Cloud9 Analytics
• Exafort
• GoodData
• Google
• Host Analytics
• Indicee
• Infor
• Informatica
• Information Builders
• Jaspersoft
• Kognitio
• MicroStrategy
• Newvem
• Panorama Software
• PivotLink
• Qlik Technologies
• Rackspace hosting
• SAS Institute
• Tableau Software
• Teradata
• Tibco Software
• VMware
 
Market Driver
• Increase in Adoption of Data Analytics 
• For a full, detailed list, view our report

Market Challenge
• Data and Security Concern 
• For a full, detailed list, view our report

Market Trend
• Increased Growth and Adoption of "Big Data"
• For a full, detailed list, view our report

Key Questions Answered in this Report
• What will the market size be in 2019 and what will the growth rate be?
• What are the key market trends?
• What is driving this market?
• What are the challenges to market growth?
• Who are the key vendors in this market space?
• What are the market opportunities and threats faced by the key vendors?
• What are the strengths and weaknesses of the key vendors?
01. Executive Summary
02. List of Abbreviations
03. Scope of the Report
03.1 Market Overview
03.2 Product Offerings
04. Market Research Methodology
04.1 Market Research Process
04.2 Research Methodology
05. Introduction
06. Market Landscape
06.1 Market Overview
06.2 Cloud Analytics Market Segmentation by Solution Type
06.2.1 Analytics Solutions
06.2.2 Cloud BI Tools
06.2.3 Complex Event Processing
06.2.4 Enterprise Information Management
06.2.5 Enterprise Performance Management
06.2.6 Governance, risk and Compliance
06.2.7 Data Warehouse Solutions
06.3 Market Size and Forecast
06.4 Five Forces Analysis
07. End-users Segmentation
08. Geographical Segmentation
08.1 Global Cloud Analytics Market Segmentation by Geography 2014-2019
09. Key Leading Countries
09.1 US
09.2 Germany
09.3 Japan
10. Buying Criteria
11. Market Growth Drivers
12. Drivers and their Impact
13. Market Challenges
14. Impact of Drivers and Challenges
15. Market Trends
16. Trends and their Impact
17. Vendor Landscape
17.1 Competitive Scenario
17.2 Major Vendors
17.3 Other Prominent Vendors
18. Key Vendor Analysis
18.1 HP
18.1.1 Key Facts
18.1.2 Business Overview
18.1.3 Business Segmentation by Revenue 2013
18.1.4 Business Segmentation by Revenue 2012 and 2013
18.1.5 Geographical Segmentation by Revenue 2013
18.1.6 Business Strategy
18.1.7 Recent Developments
18.1.8 SWOT Analysis
18.2 IBM
18.2.1 Key Facts
18.2.2 Business Description
18.2.3 Business Segmentation
18.2.4 Revenue Segmentation by Business Segment
18.2.5 Revenue Segmentation by Business Operation
18.2.6 Revenue Comparison of Business Segments 2012 and 2013
18.2.7 Revenue Segmentation by Geography
18.2.8 Business Strategy
18.2.9 Key Developments
18.2.10 SWOT Analysis
18.3 Microsoft
18.3.1 Key Facts
18.3.2 Business Overview
18.3.3 Business Segmentation by Revenue 2013
18.3.4 Business Segmentation by Revenue 2012 and 2013
18.3.5 Geographical Segmentation by Revenue 2013
18.3.6 Business Strategy
18.3.7 Recent Developments
18.3.8 SWOT Analysis
18.4 Oracle
18.4.1 Key Facts
18.4.2 Business Overview
18.4.3 Business Segmentation by Revenue 2013
18.4.4 Business Segmentation by Revenue 2012 and 2013
18.4.5 Geographical Segmentation by Revenue 2013
18.4.6 Business Strategy
18.4.7 Recent Developments
18.4.8 SWOT Analysis
18.5 SAP
18.5.1 Key Facts
18.5.2 Business Overview
18.5.3 Business Segmentation
18.5.4 Business Segmentation by Revenue 2013
18.5.5 Business Segmentation by Revenue 2012 and 2013
18.5.6 Geographical Segmentation by Revenue 2013
18.5.7 Business Strategy
18.5.8 Key Developments
18.5.9 SWOT Analysis
19. Other Reports in this Series

List of Exhibits
Exhibit 1: Market Research Methodology
Exhibit 2: Categorization of Cloud Analytics Solution by Delivery Models
Exhibit 3: Cloud Analytics Market Segmentation by Solution Type
Exhibit 4: Sub-segments of Analytics Solutions
Exhibit 5: Global Cloud Analytics Market 2014-2019 (US$ billion)
Exhibit 6: Global Cloud Analytics Market by Geographical Segmentation 2014
Exhibit 7: Global Cloud Analytics market in Three Major Geographies 2014-2019
Exhibit 8: Global Cloud Analytics market Revenue by Major Geographies 2014-2019 (US$ billion)
Exhibit 9: HP: Business Segmentation by Revenue 2013
Exhibit 10: HP: Business Segmentation by Revenue 2012 and 2013 (US$ million)
Exhibit 11: HP: Geographical Segmentation by Revenue 2013
Exhibit 12: IBM: Business Segmentation
Exhibit 13: IBM: Revenue Segmentation by Business 2013
Exhibit 14: IBM: Revenue Segmentation 2013
Exhibit 15: IBM: Revenue Comparison of Business Segments 2012 and 2013 (US$ million)
Exhibit 16: IBM: Revenue Segmentation by Geography 2013
Exhibit 17: Microsoft: Business Segmentation by Revenue 2013
Exhibit 18: Microsoft: Business Segmentation by Revenue 2012 and 2013(US$ billion)
Exhibit 19: Microsoft: Geographical Segmentation by Revenue 2013
Exhibit 20: Oracle: Business Segmentation by Revenue 2013
Exhibit 21: Oracle: Business Segmentation by Revenue 2012 and 2013 (US$ billion)
Exhibit 22: Oracle: Geographical Segmentation by Revenue 2013
Exhibit 23: SAP: Business Segmentation
Exhibit 24: SAP: Business Segmentation by Revenue 2013
Exhibit 25: SAP: Business Segmentation by Revenue 2012 and 2013 (US$ million)
Exhibit 26: SAP: Geographical Segmentation by Revenue 2013



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