Streaming Analytics Market By Type 2021 | IndustryARC
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Streaming Analytics Market
Streaming Analytics Market: By Type (Software & Services), By Deployment Model (On-Premises, & On-Demand), By Applications, By End-User, & By Region- Forecast (2016-2021)
Report Code : ITR 0056
Updated Date: 06 January, 2016   20% discount on this report
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Streaming analytics is a fully managed, affordable processing engine that can process real time events effectively. The engine aids in unlocking deep insights conveniently from an information. Besides setting up analytic computations (real -time) on streaming from sites, applications and more. Streaming analytics is efficient enough of managing high events. Ease of use, low cost, quick recovery, reference data and connectivity are some of the key benefits of the streaming analytics.

The increasing demand for instant action on business events dynamic in nature has led to the rapid growth of the market. Moreover, it has influenced large enterprises and small and medium business enterprises to embrace streaming analytics. Conversely, due to lack of awareness about streaming analytics the growth of the market will be hampered in near future. On the other hand, the growing need to deal with huge volume of incoming data is expected to create greater prospects for streaming analytics.

This report identifies the global streaming analytics market size in for the year 2014-2016, and forecast of the same for year 2021. It also highlights the potential growth opportunities in the coming years, while also reviewing the market drivers, restraints, growth indicators, challenges, market dynamics, competitive landscape, and other key aspects with respect to streaming analytics market.

Streaming Analytics Market

Geographically, North America dominated the global streaming analytics market, followed by Europe because of higher focus on innovations obtained from research and development and technology. Asia Pacific is projected to have the fastest growth, due growing awareness about real-time analytics solutions in the region.

This report segments global streaming analytics market on the basis of type, deployment type, application, end-user, and regional market as follows:
  • Streaming Analytics Market, By Type: Software, and Services
  • Streaming Analytics Market, By Deployment Type: On-Premises, and On-Demand
  • Streaming Analytics Market, By Applications: Fraud Detection, Sales and Marketing Management, Predictive Asset Maintenance, Risk Management, Network Management and Optimization, Location Intelligence, Operations Management, and Others
  • The report has also focused on end-user industry in which streaming analytics is used: Banking, Financial Services and Insurance (BFSI), Telecommunications & IT, Retail & Ecommerce, Healthcare & Life Sciences, Manufacturing, Government & Defence, Energy & Utilities, Transportation & Logistics, Media & Entertainment, and Others
  • This report has been further segmented into major regions, which includes detailed analysis of each region such as: North America, Europe, Asia-Pacific (APAC), and Rest of the World (RoW) covering all the major country level markets in each of the region

Sample Companies Profiled in this Report are:
  • International Business Machine Corporation
  • SAP SE
  • Microsoft Corporation
  • Oracle
  • SAS Institute
  • 10+.
1. Streaming Analytics – Market Overview
2. Executive Summary
3. 
Streaming Analytics Market Landscape
   3.1. Market Share Analysis
   3.2. Comparative Analysis
   3.3. Product Benchmarking
   3.4. End User Profiling
   3.5. Top 5 Financials Analysis
4. Streaming Analytics – Market Forces
   4.1. Drivers
      4.1.1. Upcoming technologies like IoT-Enabled
      4.1.2. Increased business agility and scalability
      4.1.3. Increase in need for accurate forecast
      4.1.4. Increase in demand for instant action on business events dynamic
   4.2. Restraints
      4.2.1. Difficult Analytical Workflow
      4.2.2. Deficiency in integration with legacy architecture
   4.3. Opportunities
      4.3.1. Increase in cloud adoption trends
   4.4. Challenges
   4.5. Porter’s Five Forces Analysis
      4.5.1. Bargaining Power of Suppliers
      4.5.2. Bargaining Power of Buyers
      4.5.3. Threat of New Entrants
      4.5.4. Threat of Substitutes
      4.5.5. Degree of Competition
5. Streaming Analytics Market – Strategic Analysis
   5.1. Value Chain Analysis
   5.2. Pricing Analysis 
   5.3. Opportunities Analysis
   5.4. Product/Market Life Cycle Analysis
   5.5. Suppliers and Distributors
6. Streaming Analytics Market, By Type
   6.1. Software
   6.2. Services
7. Streaming Analytics Market, By Deployment Model
   7.1. On-Premises
   7.2. On-Demand
8. Streaming Analytics Market, By Application
   8.1. Fraud Detection
   8.2. Sales and Marketing Management
   8.3. Predictive Asset Maintenance
   8.4. Risk Management
   8.5. Network Management and Optimization
   8.6. Location Intelligence
   8.7. Operations Management
   8.8. Others
9.  Streaming Analytics Market, By End-User
   9.1. Banking, Financial Services and Insurance
   9.2. Telecommunications and IT
   9.3. Retail and Ecommerce
   9.4. Healthcare and Life Sciences
   9.5. Manufacturing
   9.6. Government and defence
   9.7. Energy and Utilities
   9.8. Transportation and Logistics
   9.9. Media and Entertainment
   9.10. Others
10. Global Streaming Analytics Market, By Geography
   10.1. Europe
      10.1.1. Germany
      10.1.2. France
      10.1.3. Italy
      10.1.4. Spain
      10.1.5. Russia
      10.1.6. U.K.
      10.1.7. Rest of Europe
   10.2. Asia Pacific
      10.2.1. China
      10.2.2. India
      10.2.3. Japan
      10.2.4. South Korea
      10.2.5. Rest of Asia-Pacific
   10.3. North America 
      10.3.1. U.S.
      10.3.2. Canada
      10.3.3. Mexico
   10.4. Rest of the World (RoW)
      10.4.1. Brazil
      10.4.2. Rest of RoW
11. Streaming Analytics – Market Entropy
   11.1. Expansion
   11.2. Technological Developments
   11.3. Merger & Acquisitions, and Joint Ventures
   11.4. Supply- Contract
12. Company Profiles (Top 10 Companies)
   12.1. International Business Machine Corporation.
      12.1.1. Introduction
      12.1.2. Financials
      12.1.3. Key Insights
      12.1.4. Key Strategy
      12.1.5. Product Portfolio
      12.1.6. SWOT Analysis
   12.2. Oracle Corporation
      12.2.1. Introduction
      12.2.2. Financials
      12.2.3. Key Insights
      12.2.4. Key Strategy
      12.2.5. Product Portfolio
      12.2.6. SWOT Analysis
   12.3. Microsoft Corporation
      12.3.1. Introduction
      12.3.2. Financials
      12.3.3. Key Insights
      12.3.4. Key Strategy
      12.3.5. Product Portfolio
      12.3.6. SWOT Analysis
   12.4. SAP SE 
      12.4.1. Introduction
      12.4.2. Financials
      12.4.3. Key Insights
      12.4.4. Key Strategy
      12.4.5. Product Portfolio
      12.4.6. SWOT Analysis
   12.5. SAS Institute
      12.5.1. Introduction
      12.5.2. Financials
      12.5.3. Key Insights
      12.5.4. Key Strategy
      12.5.5. Product Portfolio
      12.5.6. SWOT Analysis
   12.6. Software AG
      12.6.1. Introduction
      12.6.2. Financials
      12.6.3. Key Insights
      12.6.4. Key Strategy
      12.6.5. Product Portfolio
      12.6.6. SWOT Analysis
   12.7. Informatica Corporation
      12.7.1. Introduction
      12.7.2. Financials
      12.7.3. Key Insights
      12.7.4. Key Strategy
      12.7.5. Product Portfolio
      12.7.6. SWOT Analysis
   12.8. Tibco Software
      12.8.1. Introduction
      12.8.2. Financials
      12.8.3. Key Insights
      12.8.4. Key Strategy
      12.8.5. Product Portfolio
      12.8.6. SWOT Analysis
   12.9. Impetus Technologies
      12.9.1. Introduction
      12.9.2. Financials
      12.9.3. Key Insights
      12.9.4. Key Strategy
      12.9.5. Product Portfolio
      12.9.6. SWOT Analysis
   12.10. Sqlstream
      12.10.1. Introduction
      12.10.2. Financials
      12.10.3. Key Insights
      12.10.4. Key Strategy
      12.10.5. Product Portfolio
      12.10.6. SWOT Analysis
*More than 10 Companies are profiled in this Research Report*
"*Financials would be provided on a best efforts basis for private companies"
13. Appendix

   13.1. Abbreviations
   13.2. Sources
   13.3. Research Methodology
   13.4. Expert Insights
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