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Market Insight- Global Storage in Big Data Market

Market Overview

Big data storage refers to a compute and storage architecture that gathers and operates vast data sets and allows real-time data analytics. Many companies employ big data analytics to collect greater intelligence from metadata. Big data storage allows the storage and sorting of big data in such a way that it can be easily used, accessed, and processed by applications and services working on big data. Moreover, big data can be flexibly scaled as required. Many end-use industries employ big data storage including BFIS, media and entertainment, IT and telecommunications, healthcare and medical, transportation, logistics, retail, etc.

The global Storage in Big Data Market was accounted for US$ 17,391.4 Mn in terms of value in 2019 and is expected to grow at CAGR of 20.4% for the period 2020-2027

Market Dynamics- Drivers

  1. Increasing adoption of software-based storage options is expected to drive growth of the global storage in big data market during the forecast period

In software-based storage solution, the storage controller software is disassociated from hardware and takes advantage of industry-standard hardware platforms, in order to deliver a complete range of storage services. This allows different solutions for data storage, data access interfaces, services, and can be delivered in various forms including on cloud. According to Intel Corporation’s study 2016, enterprises are shifting towards software-based storage as performance, capital expenses and scaling are the top three factors considered by data center managers. However, there are several approaches that can be used while deploying software-based storage such as Do-It-Yourself solutions, turnkey solutions and converged and hyper-converged solutions. Hence, these factors are expected to support growth of the global storage in the big data market in the near future.

  1. Rising digitization of records supported by governments is expected to propel the global storage in big data market growth over the forecast period

Presence of stringent laws enforced by governments of various countries has led to a massive shift of many companies towards digital maintenance of records, especially in healthcare industry. Increasing digital data volumes is leading to companies increasingly adopting various data storage options. For instance, laws such as American Recovery and Reinvestment Act and Health Information Technology for Economic and Clinical Health (HITECH) Act has been promoting adoption of digital storage of records by hospitals and clinics in the U.S. Thus, these factors are expected to boost the market growth over the forecast period.

North America region dominated the global Storage in Big Data Market in 2019, accounting for 47.4 % share in terms of value, followed by Europe, Asia Pacific, Middle East and Africa and Latin America.

Storage in Big Data  | Coherent Market Insights

Source: Coherent Market Insights

Market Dynamics- Restraints

  1. High total cost for ownership of flash storage is expected to restrain growth of the global storage in big data market during the forecast period

Flash provides substantial increase in latency and input/output performance as compared to hard disk drive.  As a result of this, popularity of systems and servers with flash storage for different range of workloads has been increasing significantly in the recent past. However, as the total cost of ownership of an SSD (solid-state drive) is relatively higher than a HHD (hard disk drive), adoption rate of flash storage in small scale enterprises continues to remain relatively low. Therefore, these factors are expected to restrict growth of the market in the near future.

  1. Reduced budget for data storage is expected to hinder the global storage in big data market growth over the forecast period

Advancements in technology have made a positive impact on economic conditions in developed as well as emerging economies. However, there are various macroeconomic factors that can adversely affect growth of the big data storage market. For instance, economic downturn can significantly impact investments on high and external storage systems. As a result of reduced storage budget, companies are seeking for most cost-efficient and effective methods to store big data. Thus, these factors are expected to hinder the global storage in big data market growth over the forecast period.

Market Opportunity

  1. Providing intelligent and dynamic big data storage platforms can present major business opportunities

Majority of organizations are focused on keeping track of all historical data, deleting duplicate entries, and gathering all data. For this purpose, scalable intelligent storage system is required to store exabytes of data, which will help in detecting duplicate entries, and enable swift retrieval of information. Thus, storage system providers should lay emphasis on improving their product offerings based on changing consumer requirements.

  1. Offering storage servers close to end users to reduce latency time can provide significant growth opportunities

Establishing storage servers within proximity of end user location can make it easier to retrieve data thereby reducing latency time. Various industries such as media and communication can gain advantages from this setting by saving content in different geographical locations based on popularity of a certain channel or program.

Storage in Big Data  | Coherent Market Insights

Source: Coherent Market Insights

Market Trends

  1. Availability of storage convergence on hybrid cloud

Hybrid cloud storage is the most realistic option available for data storage, particularly for projects that include a large number of data points. Enterprises collect data from different sources including data that is stored over the public cloud, private cloud and data centers, which is then aggregated and moved from one location to another. For instance, in September 2016, IBM Corporation launched z system storage and software and expanded open software ecosystem to accelerate hybrid cloud integration. Moreover, in August 2016, VMware, Inc. and IBM Corporation extended their partnership to enable easy hybrid cloud adoption. This has enabled over 500 of their clients to extend their existing workloads and apps to the cloud in relatively short periods of time.

  1. Growing utilization of erasure coding for big data management

Due to increasing adoption of cloud-based storage and high capacity hard disk drives, exabytes of data need to be examined and stored can be done with the help of erasure code technology. Erasure codes are widely used to protect against catastrophic failures, such as total loss of data. For instance, in February 2016, Microsoft Corporation published a whitepaper highlighting the benefits of using of new set of codes for erasure coding called Local Reconstruction Codes (LRC), which the company is implementing in Windows Azure Storage (WAS).

Segment information:

In global Storage in Big Data Market, by Segment, hardware sub-segment dominated the global market in 2019, accounting for 44.3% share in terms of value, followed by Software and Services respectively.

Storage in Big Data  | Coherent Market Insights

Source: Coherent Market Insights

Competitive Section

Key players operating in the global storage in big data market are MemSQL Inc., Google Inc., Hitachi Data Systems Corporation, Microsoft Corporation, Hewlett Packard Enterprise, Amazon Web Services, Inc., Teradata Corporation, VMware, Inc., SAP SE, IBM Corporation, Oracle Corporation, Dell EMC, and SAS Institute Inc.

Key Developments

  1. Major companies in the market are focused on business expansion, in order to gain competitive edge in the market. For instance, in September 2017, Hitachi Data Systems Corporation created an IoT focused company name Hitachi Vantara.
  2. Key players in the market are involved in product launches, in order to enhance product portfolio. For instance, in December 2019, Amazon Web Services introduced Redshift RA3 to let customers scale computer and storage separately.
Infoimg

Big data storage refers to a compute and storage architecture that gathers and operates vast data sets and allows real-time data analytics. Many companies employ big data analytics to collect greater intelligence from metadata. Big data storage allows the storage and sorting of big data in such a way that it can be easily used, accessed, and processed by applications and services working on big data. Moreover, big data can be flexibly scaled as required. Many end-use industries employ big data storage including BFIS, media and entertainment, IT and telecommunications, healthcare and medical, transportation, logistics, retail, etc.

Market Dynamics

In software-based storage solution, the storage controller software is disassociated from hardware and takes advantage of industry-standard hardware platforms, in order to deliver a complete range of storage services. This allows different solutions for data storage, data access interfaces, services, and can be delivered in various forms including on cloud. According to Intel Corporation’s study 2016, enterprises are shifting towards software-based storage as performance, capital expenses and scaling are the top three factors considered by data center managers. However, there are several approaches that can be used while deploying software-based storage such as Do-It-Yourself solutions, turnkey solutions and converged and hyper-converged solutions. Hence, these factors are expected to support growth of the global storage in the big data market in the near future. Presence of stringent laws enforced by governments of various countries has led to a massive shift of many companies towards digital maintenance of records, especially in healthcare industry. Increasing digital data volumes is leading to companies increasingly adopting various data storage options. For instance, laws such as American Recovery and Reinvestment Act and Health Information Technology for Economic and Clinical Health (HITECH) Act has been promoting adoption of digital storage of records by hospitals and clinics in the U.S. Thus, these factors are expected to boost the market growth over the forecast period.

Market Taxonomy

This report segments the Global Storage in Big Data Market on the basis of Segment, Industry, and Region. On the basis of Segment, Global Storage in Big Data Market is segmented into Hardware, software and Services. Hardware is sub divided into DAS – internal (OEM), DAS – external (OEM), DAS – other (ODM Direct), ESCON/FICON, NAS, SAN, Tape Systems and Media. On the basis of Industry, the Global Storage in Big Data Market is segmented into BFSI , IT and Telecommunications , Transportation, Logistics & Retail, Healthcare and Medical, Media and Entertainment and Others. On the basis of region, Global Storage in Big Data Market is segmented into North America, Latin America, Europe, Asia pacific, Middle East and Africa.

Key features of the study:

  • This report provides an in-depth analysis of the Global Storage in Big Data Market and provides market size (US$ Million) and compound annual growth rate (CAGR %) for the forecast period (2020-2027), considering 2019 as the base year
  • It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrix for this market
  • This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, regional outlook, and competitive strategy adopted by leading players
  • It profiles leading players in the global Storage in Big Data Market based on the following parameters – regulatory landscape, company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments and strategies, and future plans
  • Key companies covered in the Global Storage in Big Data Market includes MemSQL Inc., Google Inc., Hitachi Data Systems Corporation, Microsoft Corporation, Hewlett Packard Enterprise, Amazon Web Services, Inc., Teradata Corporation, VMware, Inc., SAP SE, IBM Corporation, Oracle Corporation, Dell EMC, and SAS Institute Inc.
  • These key market players are focusing on collaboration strategy with other market leaders to innovate and launch new products to meet the increasing needs and requirements of consumers.
  • Insights from this report would allow marketers and management authorities of companies to make informed decision regarding future product launches, technology up gradation, market expansion, and marketing tactics
  • The global Storage in Big Data market report caters to various stakeholders in this industry including investors, suppliers, distributors, new entrants, and financial analysts
  • Stakeholders would have ease in decision-making through the various strategy matrices used in analyzing the Global Storage in Big Data Market

Detailed Segmentation:

  • Global Storage in Big Data Market, By Segment:
    • Hardware
      • DAS – internal (OEM)
      • DAS – external (OEM)
      • DAS – other (ODM Direct)
      • ESCON/FICON
      • NAS
      • SAN
      • Tape Systems and Media
    • Software
    • Services
  • Global Storage in Big Data Market, By Industry:
    • BFSI
    • IT and Telecommunications
    • Transportation, Logistics & Retail
    • Healthcare and Medical
    • Media and Entertainment
    • Others
  • Global Storage in Big Data Market, By Region:
    • North America
    • Latin America
    • Europe
    • Asia Pacific
    • Middle East and Africa
  • Company Profiles
    • Amazon Web Services, Inc.
      • Company Overview
      • Product Portfolio
      • Financial Performance
      • Key Strategies
      • Recent Developments
      • Future Plans
    • Dell EMC
    • Google Inc.
    • Hewlett Packard Enterprise
    • Hitachi Data Systems Corporation
    • IBM Corporation
    • MemSQL Inc.
    • Microsoft Corporation
    • Oracle Corporations
    • SAP SE
    • SAS Institute Inc.
    • Teradata Corporation
    • VMware, Inc.

Browse all the market data tables and figures on “Global Storage in Big Data Market - Forecast to 2027”

Table of Contents

  1. Research Objectives and Assumptions
    • Research Objectives
    • Assumptions
    • Abbreviations
  2. Market Purview
    • Report Description
      • Market Definition and Scope
    • Executive Summary
      • Market Snippet, BY Segment
      • Market Snippet, By Industry
      • Market Snippet, By Region
    • Coherent Opportunity Map (COM)
  3. Market Dynamics, Regulations, and Trends Analysis
    • Market Dynamics
      • Drivers
      • Restraints
      • Market Opportunities
    • Regulatory Scenario
    • Industry Trend
    • Merger and Acquisitions
    • New system Launch/Approvals
  4. Global Storage in Big Data Market, BY Segment, 2017-2027  (US$ Million)
    • Introduction
      • Market Share Analysis, 2017 and 2027 (%)
      • Segment Trends
    • Hardware
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
        • DAS – internal (OEM)
        • DAS – external (OEM)
        • DAS – other (ODM Direct)
        • ESCON/FICON
        • NAS
        • SAN
        • Tape Systems and Media
    • Software
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • Services
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
  5. Global Storage in Big Data Market, By Industry, 2017-2027 (US$ Million)
    • Introduction
      • Market Share Analysis, 2017 and 2027 (%)
      • Segment Trends
    • BFSI
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • IT and Telecommunications
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • Transportation, Logistics & Retail
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • Healthcare and Medical
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • Media and Entertainment
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
    • Others
      • Introduction
      • Market Size and Forecast, 2020–2027, (US$ Million)
  6. Global Storage in Big Data Market, By Region, 2017-2027  (US$ Million)
    • Introduction
      • Market Share Analysis, By Region, 2017 and 2027 (%)
    • North America
      • Regional Trends
      • Market Size and Forecast, Segment, 2020–2027(US$ Million)
      • Market Size and Forecast, By Industry, 2020–2027(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2027 (%)
        • U.S.
        • Canada
    • Europe
      • Regional Trends
      • Market Size and Forecast, Segment, 2020–2027(US$ Million)
      • Market Size and Forecast, By Industry, 2020–2027(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2027 (%)
        • U.K.
        • Germany
        • Italy
        • France
        • Russia
        • Rest of Europe
    • Asia Pacific
      • Regional Trends
      • Market Size and Forecast, Segment, 2020–2027(US$ Million)
      • Market Size and Forecast, By Industry, 2020–2027(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2027 (%)
        • China
        • India
        • Japan
        • ASEAN
        • Australia
        • South Korea
        • Rest of Asia Pacific
    • Latin America
      • Regional Trends
      • Market Size and Forecast, Segment, 2020–2027(US$ Million)
      • Market Size and Forecast, By Industry, 2020–2027(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2027 (%)
        • Brazil
        • Argentina
        • Mexico
        • Rest of Latin America
    • Middle East and Africa
      • Regional Trends
      • Market Size and Forecast, Segment, 2020–2027(US$ Million)
      • Market Size and Forecast, By Industry, 2020–2027(US$ Million)
      • Market Share Analysis, By Country, 2020 and 2027 (%)
        • GCC Countries
        • South Africa
        • Rest of the Middle East and Africa
  7. Competitive Landscape
    • Company Profiles
      • Amazon Web Services, Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Dell EMC
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Google Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Hewlett Packard Enterprise
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Hitachi Data Systems Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • IBM Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • MemSQL Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Microsoft Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Oracle Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • SAP SE
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • SAS Institute Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • Teradata Corporation
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
      • VMware, Inc.
        • Company Overview
        • Product Portfolio
        • Financial Performance
        • Key Strategies
        • Recent Developments/Updates
  8. Section
    • References
    • Research Methodology
    • About us and Sales Contact

*Browse market data tables and figures on “Global Storage in Big Data Market -forecast to 2027”.

Research Methodology

Coherent Market Insights followsa comprehensive research methodology focused on providing the most precise market analysis. The company leverages a data triangulation model which helps company to gauge the market dynamics and provide accurate estimates. Key components of the research methodologies followed for all our market reports include:

  • Primary Research (Trade Surveys and Experts Interviews)
  • Desk Research
  • Proprietor Data Analytics Model

In addition to this, Coherent Market Insights has access to a wide range of the regional and global reputed paid data bases, which helps the company to figure out the regional and global market trends and dynamics. The company analyses the industry from the 360 Degree Perspective i.e. from the Supply Side and Demand Side which enables us to provide granular details of the entire ecosystem for each study. Finally, a Top-Down approach and Bottom-Up approach is followed to arrive at ultimate research findings.


Data Triangulation Methodology | Coherent Market Insights

Coherent Market Insights desk research is based on a principle set of research techniques:

  • National level desk research: It Includes research analysis of regional players, regional regulatory bodies, regional trade associations, and regional organization.
  • Multinational level desk research: The research team keeps a track of multinational players, global regulatory bodies, global trade associations, and global organization.

Coherent Market Insights has a large amount of in-house repository of industry database. This is leveraged as a burner for initiating a new research study. Key secondary sources include:

  • Governmental bodies, National and international social welfare institutions, and organizations creating economic policies among others.
  • Trade association, National and international media and trade press.
  • Company Annual reports, SEC filings, Corporate Presentations, press release, news, and specification sheet of manufacturers, system integrators, brick and mortar - distributors and retailers, and third party online commerce players.
  • Scientific journals, and other technical magazines and whitepapers.

Market Analysis | Coherent Market Insights

Preliminary Data Mining

The raw data is obtained through the secondary findings, in house repositories, and trade surveys. It is then filtered to ensure that the relevant information including industry dynamics, trends, and outlook is retained for further research process.

Data Standardization

Holistic approach is used to ensure that the granular and uncommon parameters are taken into consideration to ensure accurate results. The information from the paid databases are further combined to the raw data in order to standardize it.

Coherent Statistical model

We arrive at our final research findings through simulation models. Coherent Data Analytics Model is a statistical tool that helps company to forecast market estimates. Few of the parameters considered as a part of the statistical model include:

  • Micro-economic indicators
  • Macro-economic indicators
  • Environmental indicators
  • Socio-political indicators
  • Technology indicators

Data Processing

Once the findings are derived from the statistical model, large volume of data is process to confirm accurate research results. Data analytics and processing tools are adopted to process large chunk of collected informative data. In case, a client customizes the study during the process, the research finding till then are benchmarked, and the process for new research requirement is initiated again.

Data Validation

This is the most crucial stage of the research process. Primary Interviews are conducted to validate the data and analysis. This helps in achieving the following purposes:

  • It provides first-hand information on the market dynamics, outlook, and growth parameters.
  • Industry experts validates the estimates which helps the company to cement the on-going research study.
  • Primary research includes online surveys, face-to face interviews, and telephonic interviews.

The primary research is conducted with the ecosystem players including, but not limited to:

  • Raw Material Suppliers
  • Manufacturers
  • System Integrators
  • Distributors
  • End-users

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