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2020
In-memory Analytics Market

In-Memory Analytics Market by Component (Solution and Services), Deployment Model (On-Premise and Cloud), Organization Size (Large Enterprises and Small & Medium Enterprises), Application (Fraud and Security Management, Sales and Marketing Management, Predictive Asset Maintenance, Risk and Compliance Management, Supply Chain Management and Operations and Others), and Industry Vertical (BFSI, IT & Telecom, Retail, Healthcare, Energy & Utilities, Manufacturing, Government & Defense, and Others): Global Opportunity Analysis and Industry Forecast, 2019–2026
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A03550
Pages: 242
Feb 2020 | 5785 Views
Author(s) : Pramod Borasi , Vineet Kumar
Tables: 106
Charts: 51
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In-Memory Analytics Market Size - 2026

The global in-memory analytics market garnered $1.956 billion in 2018, and is expected to reach $11.858 billion by 2026, witnessing a CAGR of 25.40% from 2019 to 2026.. In-memory analytics helps organization to improve the overall speed in the BI system and provides different business intelligences clients with quicker solutions as compared to traditional disk based BI systems, especially for queries that take a long time to process in a large database. Furthermore, rise in need for self-service business intelligence and advanced technologies are the major factors that drive the growth of the market. Numerous benefits associated with in-memory analytics include real-time insights, fast processing, and safety & security features provided to the data of the organization. 

In-Memory Analytics Market Infographics

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Key Market Drivers: 

The in-memory analytics market trends include digital transformation using real-time analytics and growing volume of data are the major factors that drive the growth of the market. In addition, rise in trends for self-service BI tools and technological advancement in computing power fuels the growth of the market. However, lack of awareness among various industry verticals is expected to impede the market growth. Furthermore, improved scalability and security with cloud-based in-memory analytics and higher adoption by small and medium enterprises (SMEs) are expected to present major opportunities for the expansion of the market in the future.

In-Memory Analytics Market
By Component

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Solution is projected as one of the most lucrative segments.

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The predictive asset management segment dominated the in-memory analytics market industry in 2018 and is projected to maintain its dominance during the forecast period, owing to increase in the adoption of predictive asset management solution for analyzing historical and real-time data from various sites for helping organizations to predict the excepted failures before it happens. Furthermore, the fraud & security management is expected to grow at a significant CAGR during the forecast period, owing to the rise in cyberattacks and data security breaches in enterprises.

In-Memory Analytics Market
By Deployment Model

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On-Premise is projected as one of the most lucrative segments.

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Report Coverage: 

The report focuses on the growth prospects, restraints, and trends of the in-memory analytics market analysis. The study provides Porter’s five forces analysis to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the in-memory analytics market.

In-Memory Analytics Market
By Organization Size

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Lage Enterprises is projected as one of the most lucrative segments.

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Market Segmentation:

The in-memory analytics market is segmented on the basis of component, deployment mode, organization size, application, industry vertical, and region. In terms of component, it is bifurcated into solution and services. In terms of deployment mode, the market is divided into on-premise and cloud. As per organization size, it is classified into large enterprises and small & medium enterprises. 

In-Memory Analytics Market
By Application

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Fraud and Secuirty Management is projected as one of the most significant segments.

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In terms of application, the market is categorized into fraud & security management, sales & marketing management, predictive asset maintenance, risk & compliance management, supply chain management & operations, and others. By industry vertical, it is divided into BFSI, IT & telecom, retail, healthcare, energy & utilities, manufacturing, government & defense, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

In-Memory Analytics Market
By Industry Vertical

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Retail & E-commerce is projected as one of the most significant segments.

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The report analyzes the profiles of key players operating in the market. These include Amazon Web Services, Inc., SAP SE, Oracle Corporation, SAS Institute Inc., International Business Corporation, Hitachi, Ltd., Software AG, MicroStrategy Incorporated, Qlik Technologies and Kognito Ltd. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.

In-Memory Analytics Market
By Region

2026
North America 
Europe
Asia-pacific
Lamea

North America is projected as one of the most lucrative segments.

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Top Impacting Factors:

Digital Transformation Using Real-Time Data Analytics

Digital transformation is playing a major role in changing the external and internal facing technology of the business. In addition, real-time data is core form of digital transformation as it plays a major role in driving innovation, business strategies, and for automating critical business process. Furthermore, companies focus on providing real-time data for increasing the performance, resiliency, and availability of data for the business process. In addition, digital transformation provides workload optimization, which helps organizations to decrease their latency and provide faster response time to their client. Furthermore, the need to visualize, store and analyze growing volume of data in real time is forcing companies to find a suitable solution, which can improve decision making capabilities of the organization. For instance, according to a survey conducted by Amazon in U.S in 2017, the use of digital transformation has increased the revenue of the company by 25% as compared to 2016. Thus, digital transformation using real-time analytics is one of the major factors that drives the growth of the in-memory analytics market.

Rise in Volume of Data

Organizations are struggling to obtain any significant insights from their growing data, owing to which the adoption of in-memory analytics has increased in different organizations. For instance, according to a survey conducted by IDC in the U.S. in 2018, data volumes in organizations are growing at a speed of 63% per month, with 12% of organizations reporting over 100% growth every month. Furthermore, organizations are now adopting various cloud-based technology and analytics for storing and reserving data. In addition, in-memory analytics helps organization to store data in any available format and provide the available information required by the organization. In addition, it provides organizations with different features to examine large amount of data to uncover the hidden patterns and to gain meaning insights from this data. This, drives the growth of the market.

Key Benefits for Stakeholders:

  • The study provides an in-depth analysis of the global in-memory analytics market along with the current & future trends to elucidate the imminent investment pockets.
  • Information about key drivers, restrains, and opportunities and their impact analysis on the market size is provided in the report.
  • Porter’s five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
  • The quantitative analysis of the global in-memory analytics market from 2019 to 2026 is provided to determine the market potential.

Key Market Segments

  • By Component
    • Solution
    • Service

  • By Deployment Mode
    • On-premise
    • Cloud-Based

  • By Organization Size
    • Large Enterprises
    • Small and medium Enterprises (SME’s)

  • By Application
    • Fraud & Security Management
    • Sales and Marketing Optimization
    • Predictive Asset Management
    • Risk & compliance management
    • Supply chain optimization
    • Other

  • By Industry Vertical
    • IT & Telecom
    • BFSI
    • Retail and E-commerce
    • Healthcare and Life Science
    • Government & Defense Sector
    • Manufacturing
    • Media and entertainment
    • Others

  • By Region
    • North America
      • U.S.
      • Canada
    • Europe
      • UK
      • Germany
      • France
      • Italy
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • Australia
      • Rest of Asia-Pacific
    • LAMEA
      • Latin America
      • Middle East
      • Africa

Key Market Players

  • Amazon Web Services, Inc.
  • Hitachi, Ltd.
  • International Business Machines Corporation
  • Kognitio Ltd.
  • MicroStrategy Incorporated
  • Oracle Corporation
  • Qlik Technologies
  • SAP SE
  • SAS Institute Inc.
  • Software AG
 

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The adoption of in-memory analytics solution has increased among the businesses to tackle the challenges associated with high competition and market disruption threats. This solution helps organizations to have a deep insight to increase the revenue of the organization and to help resolve complicated issues. In-memory analytics helps create collaborative, open, creative, and efficient business environment as compared to traditional business models. Moreover, several benefits are associated with in-memory analytics. These include higher level of customer satisfaction, high product quality, and more flexibility in project management and faster feedback, which drive the adoption of in-memory analytics solution across various industries. In addition, in-memory analytics provides faster and affordable solution for organization with real-time data that strengthens the decision-making ability of the organization.

Product launch and partnerships are the prime strategies adopted by key industry players to sustain themselves within the in-memory analytics market. Product launch helps companies to consistently offer innovative and enhanced apps to their customers. Partnerships and collaborations consolidate an organization’s position while enriching their service portfolio.

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FREQUENTLY ASKED QUESTIONS?

A. The size of In-Memory Analytics market by 2026 will be $11,858.43 million

A. The size of In-Memory Analytics market in 2018 was $1,956.45 million

A. To get more insights and Competitive landscape.

A. The CAGR of In-Memory Analytics Market by 2026 will be 25.4%

A. The revenue generated by the In-Memory Analytics market by the end of 2026 will be $11,858.43 million

A. The top ten market players are selected based on two key attributes - competitive strength and market positioning

A. Digital transformation using real-time analytics and growing volume of data are the major factors driving the growth of the market.

A. North America will provide more business opportunities during forecast period

A. Improved scalability and security with cloud-based in-memory analytics and higher adoption by SME’s are expected to present major opportunities for the expansion of the market in future

A. The report analyzes the profiles of key players operating in the market Amazon Web Services, Inc., SAP SE, Oracle Corporation, SAS Institute Inc., International Business Corporation, Hitachi, Ltd., Software AG, MicroStrategy Incorporated, Qlik Technologies and Kognito Ltd

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