In-Memory Analytics Tools Market Value Share, Analysis and Segments 2015-2025 by Future Market Insights

Global In-Memory
Analytics Tools
Market
Share, Global Trends,
Analysis, Research, Report,
Opportunities,
Segmentation and Forecast,
2015 – 2025
Future Market Insights
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Report
Description
Report Description
Global In-Memory Analytics Tools Market: Overview
In recent past, analytics and reporting has changed dramatically. In the mid-to-late 70s,
information was used to abstract from mainframe systems and transferred to spreadsheets for
analysis. As technologies have matured, the advent of service-based architecture has become
noticeable and emerged as what is now known as business intelligence (BI). But the advent of inmemory analytics has increased the expectation of organizations from BI solutions. In-memory
analysis delivers rapid access to interactive dashboards that user can build and modify easily as
it query data in random access memory.
Global In-Memory Analytics Tools Market: Segmentation
Global in-memory analytics tools market is classified into service, vertical and regions. On the
basis of service the market can be segmented into consulting, implementation service and
integration service. The global in-memory analytics tools market can be segmented into vertical
such as manufacturing sector, public sector, BFSI, media and entertainment sector, IT & Telecom
sector, retail sector and energy and utility sector. Region wise, global in-memory analytics tools
market is segmented into North America, Latin America, Western Europe, Eastern Europe, Japan,
Asia-Pacific excluding Japan (APEJ), and Middle East and Africa (MEA). At present, North America
is dominating the market in terms of revenue contribution share followed by Western Europe.
Report
Description
Report Description
Among all the regions, APEJ is expected to create huge market opportunity for major players
operating in the in-memory analytics tools market during the forecast period.
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Global In-Memory Analytics Tools Market: Drivers
Availability of number of cost effective analytics solutions is encouraging more number of end
user to invest into in-memory analytics tools for improving business operations. The in-memory
analytic tools provide supportive coordination between the queried data and the primary
memory, and shorten the query response time and allow analytics applications and business
intelligence to support faster business decisions. Aforementioned are some of the factors that
are increasing the adoption of in-memory tools across vertical, hence fueling the growth of the
market.
Global In-Memory Analytics Tools Market: Restraints
Lack of awareness across industries especially in emerging markets such as India, China, Brazil
and Argentina, regarding the benefits of in-memory data analytics tools for enhancing business
operations and
Report
Description
Report Description
high initial cost associated with the implementation of in-memory data analytic tools are
expected to hinder the growth of this market to some extent.
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Global In-Memory Analytics Tools Market: Competitive Landscape
Key players in the global in-memory analytics tools market focus on introduction of advanced
solutions and services in order to improve their product offerings and strengthen position in the
market. For example in 2014, Microsoft extended the features of SQL server and introduced an
advanced version namely SQL server 2014. This new version of SQL server enables user to
accelerate transactional application by up to 30 times, and transact and analyze the data at realtime.
Global In-Memory Analytics Tools Market: Key players
Some of the major players identified in the global in-memory analytics tools markets are
Microsoft Corp., IBM Corp., Oracle Corp., Aerospike Inc., Altibase Inc., Couchbase Inc., DataStax,
Inc., EXASOL AG, Quartet Resources Ltd., Redis Labs Inc. and others.
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In recent past, analytics and reporting has changed dramatically. In the mid-to-late 70s, information was used to abstract from mainframe systems and transferred to spreadsheets for analysis. As technologies have matured, the advent of service-based architecture has become noticeable and emerged as what is now known as business intelligence (BI). But the advent of in-memory analytics has increased the expectation of organizations from BI solutions. In-memory analysis delivers rapid access to interactive dashboards that user can build and modify easily as it query data in random access memory.