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U.S. In-Memory Computing Market

  • Report Code: IN 1005
  • Publish Date: Upcoming
  
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U.S. In-Memory Computing (IMC) market is expected to grow from $672.2 million in 2013 to $2,749.3 million in 2018 at a CAGR of 32.5% during the period 2013-2018. The market is primarily driven by the adoption of innovative technologies.

In-Memory Computing (IMC) allows the whole database to remains in the main memory of the system, and hence reduces several complexities such as physical space requirements and latency during analysis of those bulk data. With the help of IMC, databases are compressed by data compression algorithms and back-up is maintained with the help of different algorithms such as replication algorithms. The advent of multi-core processors and rising need for predictive analysis has increased the demand for faster technologies, which can analyze data on a real-time basis. Parallel computing is another factor which is highly in demand in the market, thereby triggering the need   for IMC furthermore.

U.S. has a developed economy and is adopting and implementing innovative technologies such as In-memory computing. The In-memory computing enables the efficient storage and analysis of data. The major concern is the high cost of implementation, which act as a barrier for small size enterprises to adopt In-memory computing.

The U.S. In-Memory Computing (IMC) market report provides a competitive benchmarking of leading players in this market such as SAP, Oracle and others in terms of their product offerings, key strategies and operational parameters. The U.S. In-Memory Computing (IMC) market report further provides market trend, overall adoption scenario, competitive landscape and key drivers, restraints, and opportunities. The U.S. In-Memory Computing (IMC) market report aims in estimating the current market size and the future growth potential of different U.S. In-Memory Computing (IMC) market offerings across different solutions, deployment models, and end-users.

U.S. In-Memory Computing (IMC) Market Report Options:

  • Market segmentation covered in this report are:
    • By In-Memory Data Management (IMDM): In-Memory Databases (IMDB), and In-Memory Datagrid (IMDG)
    • In-Memory Application Platforms: In-Memory Analytics and In-Memory Application Servers

U.S. In-memory Computing (IMC) Market Customization Options:

With MMM assessment, we will best meet your company’s specific customization needs. Following customization options provide comprehensive industry standard and deep dive analysis:

 

  • U.S. In-Memory Computing (IMC) market Solutions Watch
    • Comprehensive analysis and benchmarking of different solutions in U.S. Coverage includes Tier-1 and Tier 2/3 firms.
    • Evaluation parameters: Technology, Service offerings, Pricing, and others

 

  • U.S. In-Memory Computing (IMC) Service Adoption and Application
  • Detailed analysis of adoption of In-memory computing in different industries such as Banking and Financial services, Retail, Telecommunication, Government, and other.

 

  • U.S. In-Memory Computing (IMC) Market Tracker
  • Country specific In-memory computing  market forecast and analysis
  • Identification of key end-user segments with respect to the countries in U.S..

 

  • U.S. In-Memory Computing (IMC) Client Tracker
  • Listing and analysis of deals and projects, case studies, promotions, R&D investments, events, discussion forums, alliances and partners of Tier-1 and Tier-2/3 vendors operating in U.S. for the last 3 years

 

  • U.S. In-Memory Computing (IMC) Emerging Vendor Landscape
    • Evaluate Tier-2/3 vendors’ market offerings using a 2X2 framework (realizing Leaders, Challengers, Followers, Nichers).

 

  • U.S. In-Memory Computing (IMC) Technology Watch
    • Update on the current technology trends across different industry verticals in U.S. In-Memory Computing (IMC) market.


1 Introduction
1.1 Objective of the study
1.2 Market Definitions
1.3 Market Segmentation & Aspects Covered
1.4 Research Methodology
1.4.1 Assumptions (Market Size, Forecast, etc)
2 Executive Summary
3 Market Overview
4 In-Memory Computing-U.S., By Segments
4.1 In-Memory Data Management-U.S.
4.1.1 In-Memory Data Management-U.S., By Industries
4.1.1.1 In-Memory Data Management-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S.
4.1.1.2 In-Memory Data Management-Retail and Wholesale Distribution (ICT)-U.S.
4.1.1.3 In-Memory Data Management-Telecommunication (ICT)-U.S.
4.1.1.4 In-Memory Data Management-Government (ICT)-U.S.
4.1.1.5 In-Memory Data Management-Transportation and Logistics (ICT)-U.S.
4.1.1.6 In-Memory Data Management-U.S.-Others (ICT)
4.1.2 In-Memory Data Management-U.S., By Components
4.1.2.1 In-Memory Data Management-In-Memory Database-U.S.
4.1.2.2 In-Memory Data Management-In-Memory Datagrid-U.S.
4.2 In-Memory Application Platforms-U.S.
4.2.1 In-Memory Application Platforms-U.S., By Industries
4.2.1.1 In-Memory Application Platforms-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S.
4.2.1.2 In-Memory Application Platforms-Retail and Wholesale Distribution (ICT)-U.S.
4.2.1.3 In-Memory Application Platforms-Telecommunication (ICT)-U.S.
4.2.1.4 In-Memory Application Platforms-Government (ICT)-U.S.
4.2.1.5 In-Memory Application Platforms-Transportation and Logistics (ICT)-U.S.
4.2.1.6 In-Memory Application Platforms-Others-U.S.
5 In-Memory Computing-U.S., By Industries
5.1 In-Memory Computing-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S.
5.1.1 In-Memory Computing-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S., By Segments
5.1.1.1 In-Memory Data Management-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S.
5.1.1.2 In-Memory Application Platforms-Banking,Financial Services and Insurance (BFSI) (ICT)-U.S.
5.2 In-Memory Computing-Retail and Wholesale Distribution (ICT)-U.S.
5.2.1 In-Memory Computing-Retail and Wholesale Distribution (ICT)-U.S., By Segments
5.2.1.1 In-Memory Data Management-Retail and Wholesale Distribution (ICT)-U.S.
5.2.1.2 In-Memory Application Platforms-Retail and Wholesale Distribution (ICT)-U.S.
5.3 In-Memory Computing-Telecommunication (ICT)-U.S.
5.3.1 In-Memory Computing-Telecommunication (ICT)-U.S., By Segments
5.3.1.1 In-Memory Data Management-Telecommunication (ICT)-U.S.
5.3.1.2 In-Memory Application Platforms-Telecommunication (ICT)-U.S.
5.4 In-Memory Computing-Government (ICT)-U.S.
5.4.1 In-Memory Computing-Government (ICT)-U.S., By Segments
5.4.1.1 In-Memory Data Management-Government (ICT)-U.S.
5.4.1.2 In-Memory Application Platforms-Government (ICT)-U.S.
5.5 In-Memory Computing-Transportation and Logistics (ICT)-U.S.
5.5.1 In-Memory Computing-Transportation and Logistics (ICT)-U.S., By Segments
5.5.1.1 In-Memory Data Management-Transportation and Logistics (ICT)-U.S.
5.5.1.2 In-Memory Application Platforms-Transportation and Logistics (ICT)-U.S.
5.6 In-Memory Computing-U.S.-Others (ICT)
5.6.1 In-Memory Computing-U.S.-Others (ICT), By Segments
5.6.1.1 In-Memory Data Management-U.S.-Others (ICT)
5.6.1.2 In-Memory Application Platforms-U.S.-Others (ICT)
6 In-Memory Computing-U.S., By Companies
6.1 Competitive landscape
6.2 In-Memory Computing-U.S.-Oracle Corporation
6.3 In-Memory Computing-U.S.-TIBCO SOFTWARE INC.
6.4 In-Memory Computing-U.S.-SAP
6.5 In-Memory Computing-U.S.-Qliktech International
6.6 In-Memory Computing-U.S.-Software AG

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