Data Storage Management intelligence

Find companies using Data Storage Management technologies

Explore 104 Data Storage Management products used by 358,361 tracked companies, identify relevant accounts, and connect with decision-makers. Technology counts are approximate estimates. Product install bases may overlap and should not be summed as unique companies.

10Listed technologies
GlobalTarget account coverage
CustomFirmographic filters
B2BDecision-maker targeting
TECHNOLOGY USER INTELLIGENCE

Know who uses Data Storage Management technologies

Build targeted prospect lists around the technologies relevant to your sales strategy.

Technology install base

Identify accounts using products and services in this category.

Company intelligence

Segment accounts by industry, geography, employee size, and other available firmographics.

Decision-maker contacts

Reach relevant IT, operations, and business stakeholders with available professional contact data.

TECHNOLOGY LANDSCAPE

Data Storage Management technologies

Explore technology names in this category. Company-usage figures are shown where available.

#1

Azure Blob Storage

229,197tracked companies66% market share
#2

Azure Data Factory

38,228tracked companies10% market share
#3

Peak 10

17,838tracked companies<5% market share
#4

WinSCP

9,761tracked companies<5% market share
#5

Pure Storage

7,278tracked companies<5% market share
#6

IBM Tivoli Storage Manager

6,867tracked companies<5% market share
#7

Azure Stack

6,018tracked companies<5% market share
#8

IBM Spectrum Scale

2,947tracked companies<5% market share
#9

Vast Data

2,659tracked companies<5% market share
#10

VMware vSAN

2,310tracked companies<5% market share

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Technology counts, where displayed, are source-linked estimates. Product install bases may overlap and should not be summed as unique companies.
BUYER INTELLIGENCE

Find accounts researching Data Storage Management solutions

Combine technology usage with relevant buying signals to prioritize your target accounts. Signal availability varies by dataset.

Research activity

Relevant technology topics and account-level research.

Buying-stage context

Prioritize accounts using available evaluation indicators.

Data Storage ManagementTechnology migrationTechnology evaluation

Account

Identify companies

Topic

Understand interest

Stage

Prioritize research

Contact

Find buying roles

SAMPLE OUTPUT

From technology users to target accounts

Combine technology and firmographic data to build a qualified prospect list. The example below is illustrative, not actual customer data.

AccountTechnologyResearch topicTarget roles
Example Company AAzure Blob StorageTechnology evaluationIT leadership
Example Company BAzure Data FactoryPlatform migrationTechnical decision-makers
Illustrative records only; no live intent or account claims are made.

Buyer intelligence fields you can request

Account & firmographics

Company, website, industry, location, employee and revenue ranges.

Technology environment

Products and services identified within the technology stack.

Research signals

Relevant topics and available activity indicators.

Buying committee

Relevant stakeholders and decision-making roles.

Contact data

Available business contact details for outreach.

Sales prioritization

Custom filters to focus on best-fit accounts.

Turn technology signals into a target account list

1

Select technologies

2

Choose intent topics

3

Apply ICP filters

4

Activate outreach

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Frequently asked questions

What is Data Storage Management?

Systems for storing, protecting, moving and managing data across on-premises and cloud storage.

Which products are most widely used?

Azure Blob Storage, Azure Data Factory and Peak 10 lead this category.

Can I get companies using just one specific product?

Yes, request a custom filtered list for that single product.

Can I filter by location, company size, industry, or buyer role?

Yes, by those firmographics and relevant IT roles.

Do these company counts add up to unique companies?

No, install bases may overlap and should not be summed.