AI Powered Storage

AI Powered Storage Market Outlook

The global AI Powered Storage Market is projected to reach a valuation of approximately USD 25 billion by 2035, exhibiting a robust compound annual growth rate (CAGR) of around 15% during the forecast period from 2025 to 2035. This growth is largely fueled by the increasing volumes of data generated across various sectors as businesses continue to pursue digital transformation strategies. Moreover, the rise of artificial intelligence (AI) and machine learning technologies is enabling organizations to optimize their storage solutions, enhance data management capabilities, and improve operational efficiencies. As a result, AI-powered storage solutions are becoming increasingly essential to address the challenges associated with traditional data storage infrastructures. The demand is further accelerated by the need for scalable, flexible, and cost-effective storage solutions that can handle large datasets generated by emerging technologies such as IoT and big data analytics.

Growth Factor of the Market

The AI Powered Storage Market is witnessing significant growth driven by several factors. The surging amount of unstructured data generated from various sources necessitates advanced storage solutions that can efficiently manage and analyze this data, leading to an increased adoption of AI technologies. Furthermore, the growing reliance on cloud computing and the migration of businesses towards digital platforms have amplified the need for intelligent storage systems that provide seamless, scalable, and secure data management capabilities. Additionally, technological advancements, including the integration of AI with traditional storage systems, allow organizations to derive actionable insights from their data, enhancing decision-making processes and operational efficiency. Moreover, the focus on enhancing data security and regulatory compliance in industries such as finance, healthcare, and government is prompting organizations to invest in AI-powered storage solutions to safeguard sensitive information. The increasing awareness and need for data-driven strategies by enterprises globally are further propelling the growth of the AI Powered Storage Market.

Key Highlights of the Market

• The AI Powered Storage Market is expected to reach USD 25 billion by 2035, growing at a CAGR of around 15%.
• Cloud-based storage solutions are anticipated to dominate the product type segment, reflecting the trend towards remote data management.
• The enterprise storage application segment is projected to capture the largest share as organizations seek efficient data management solutions.
• North America is expected to lead the market, driven by advanced technological adoption and a large number of cloud service providers.
• Increasing investments in AI and machine learning technologies are facilitating growth in various sectors, including retail and telecommunications.

By Product Type

Cloud-based Storage:

Cloud-based storage is rapidly emerging as the preferred solution in the AI Powered Storage Market, driven by its scalability and flexibility. Organizations are increasingly adopting cloud storage to accommodate their growing data needs without the constraints associated with on-premises solutions. The ability to access data from anywhere and facilitate real-time collaboration is a significant advantage, particularly in an era where remote work is prevalent. Moreover, cloud service providers are incorporating AI technologies to enhance storage efficiency, data organization, and retrieval processes, making cloud-based storage a vital component of modern data management strategies.

On-premises Storage:

On-premises storage remains a critical segment in the AI Powered Storage Market, particularly for enterprises that prioritize data sovereignty and security. Businesses in sectors such as finance and healthcare often prefer on-premises solutions to maintain control over sensitive data and adhere to regulatory requirements. By integrating AI capabilities, on-premises storage solutions can optimize data management workflows, enhance security measures, and provide predictive analytics for better resource allocation. As organizations strive to find the right balance between security and accessibility, on-premises storage continues to play an essential role in their overall storage strategy.

Hybrid Storage:

Hybrid storage solutions are gaining traction in the AI Powered Storage Market due to their ability to combine the benefits of both cloud-based and on-premises storage. By leveraging hybrid models, organizations can optimize their storage costs while ensuring data security and compliance. The integration of AI enables seamless data movement between local and cloud environments, allowing businesses to make informed decisions regarding data placement. Moreover, hybrid solutions provide greater flexibility to manage unpredictable data workloads, making them particularly appealing for companies aiming to enhance their data management capabilities without sacrificing control.

Edge Storage:

Edge storage is becoming increasingly relevant with the rise of IoT devices and the need for real-time data processing. In the AI Powered Storage Market, edge storage solutions enable data to be processed closer to its source, reducing latency and bandwidth costs associated with transferring data to centralized storage systems. AI technologies play a crucial role in managing edge storage, facilitating intelligent data processing and analytics at the network's edge. This capability is particularly beneficial for industries such as manufacturing and smart cities, where timely decision-making is critical for operational efficiency and safety.

Object Storage:

Object storage is emerging as a significant player in the AI Powered Storage Market, particularly for organizations dealing with vast amounts of unstructured data. Unlike traditional file systems, object storage offers a more scalable and flexible approach to data management, allowing businesses to efficiently store, retrieve, and manage large datasets. The integration of AI technologies enhances object storage capabilities by automating data organization and retrieval processes, facilitating quicker access to critical information. As enterprises increasingly rely on data for decision-making, object storage is becoming an essential component of their data management strategies.

By Application

Enterprise Storage:

The enterprise storage application segment is one of the largest in the AI Powered Storage Market, as organizations seek advanced solutions to manage their ever-expanding data requirements. With the rise of big data and analytics, businesses are turning to AI-powered enterprise storage solutions to enable efficient data processing and storage management. These solutions provide enhanced security, compliance, and accessibility, all of which are critical for enterprises operating in competitive environments. As organizations continue to focus on digital transformation and data-driven strategies, the demand for enterprise storage solutions that integrate AI capabilities is expected to grow significantly.

Personal Storage:

Personal storage applications are also witnessing growth in the AI Powered Storage Market, driven by the increased use of personal devices and the proliferation of digital content. Consumers are seeking solutions that offer seamless data backup, sharing, and accessibility across devices. Advanced AI algorithms are being integrated into personal storage solutions to enhance user experience by providing intelligent content organization and automated backups. Furthermore, with the rise of social media and content creation, the demand for personal storage solutions that can efficiently manage large volumes of data is expected to rise, thereby driving growth in this segment.

Cloud Storage:

Cloud storage applications are rapidly growing in the AI Powered Storage Market, as businesses increasingly migrate their data to the cloud to leverage its scalability and accessibility. The rise of cloud computing has revolutionized traditional storage solutions, enabling organizations to store vast amounts of data without the constraints of physical infrastructure. AI technologies are enhancing cloud storage solutions by providing advanced data management features, such as automated tiering, intelligent data placement, and predictive analytics for better resource allocation. As more organizations recognize the benefits of cloud storage, its adoption is expected to continue to rise in the coming years.

Big Data Storage:

With the explosion of data generated from various sources, big data storage applications are becoming increasingly vital in the AI Powered Storage Market. Organizations require efficient and scalable storage solutions to manage and analyze large volumes of data generated by IoT devices, social media, and other sources. AI technologies are playing a crucial role in optimizing big data storage solutions, enhancing data organization, retrieval processes, and analytical capabilities. As businesses continue to leverage big data for insights and strategic decision-making, the demand for advanced storage solutions in this segment is expected to grow significantly.

IoT Storage:

The IoT storage application segment is gaining momentum in the AI Powered Storage Market due to the exponential growth of connected devices and the massive amounts of data they generate. Organizations are increasingly adopting AI-powered storage solutions to efficiently manage and analyze the data produced by IoT devices. The integration of AI enables real-time data processing and analytics, facilitating timely decision-making and operational efficiency. As the IoT ecosystem continues to expand, the need for scalable and intelligent storage solutions will become paramount, further driving the growth of the IoT storage segment.

By Distribution Channel

Online Stores:

Online stores are becoming the dominant distribution channel in the AI Powered Storage Market, fueled by the growing trend of e-commerce and the increasing reliance on digital platforms for purchasing decisions. Customers appreciate the convenience and accessibility of online shopping, making it easier for businesses to reach a wider audience. The integration of AI technologies into online retail platforms enhances the customer experience by providing personalized product recommendations and efficient data analysis. As more consumers turn to online stores for their storage solution needs, the demand in this distribution channel is expected to grow considerably.

Direct Sales:

Direct sales remain an important distribution channel in the AI Powered Storage Market, particularly for enterprise-level solutions. Through direct sales, vendors can engage with clients on a personalized level, allowing for tailored storage solutions that meet specific business needs. This channel is particularly effective for complex storage systems that require consultation and customization. Furthermore, direct sales enable vendors to build strong relationships with clients, fostering loyalty and repeat business. As organizations seek more hands-on approaches to their storage solutions, the demand for direct sales channels is anticipated to thrive.

Indirect Sales:

Indirect sales channels, including partnerships with resellers and distributors, play a vital role in the AI Powered Storage Market by expanding the reach of storage solutions to various customer segments. These channels enable vendors to tap into existing networks and customer bases, increasing their market penetration without significant capital investment. Indirect sales are particularly beneficial for vendors that specialize in niche storage solutions, as they can leverage the expertise of resellers to target specific markets effectively. As the demand for AI-powered storage solutions grows, indirect sales channels are likely to become increasingly significant.

Value-added Resellers:

Value-added resellers (VARs) contribute significantly to the AI Powered Storage Market by providing additional services alongside storage solutions, such as installation, customization, and ongoing support. VARs can tailor storage solutions to meet the specific needs of their clients, ensuring a higher level of customer satisfaction and performance. The expertise of VARs in integrating AI technologies with storage solutions enhances the overall value proposition, making them an important distribution channel for vendors. As businesses seek comprehensive solutions that address their unique storage challenges, the role of VARs in the market is expected to grow.

System Integrators:

System integrators are essential players in the AI Powered Storage Market, as they help organizations seamlessly integrate storage solutions into their existing IT infrastructure. By offering expertise in both storage technologies and AI applications, system integrators can provide solutions that optimize data management and enhance operational efficiency. The ability to deliver customized and scalable storage solutions tailored to specific business needs makes system integrators a crucial distribution channel. As the complexity of data management increases, the demand for system integrators in the AI Powered Storage Market is expected to rise significantly.

By Ingredient Type

Machine Learning:

Machine learning is a fundamental ingredient in the AI Powered Storage Market, enabling intelligent data management and analysis capabilities. By leveraging machine learning algorithms, storage solutions can optimize data organization, automate routine tasks, and enhance retrieval processes. This technology allows organizations to derive actionable insights from their data, improving operational efficiency and decision-making. As machine learning continues to evolve, its integration into storage solutions will further enhance their capabilities and performance, driving growth in this ingredient segment.

Natural Language Processing:

Natural language processing (NLP) is emerging as a key ingredient in the AI Powered Storage Market, significantly enhancing user interaction with storage solutions. By utilizing NLP, storage systems can interpret and process user queries in natural language, facilitating easier data retrieval and management. This capability is particularly valuable for organizations dealing with large volumes of unstructured data, as it enables users to search for information effortlessly. As businesses continue to prioritize user-friendly interfaces and efficient data access, the integration of NLP into storage solutions is expected to gain traction.

Predictive Analytics:

Predictive analytics is playing a crucial role in the AI Powered Storage Market by enabling organizations to anticipate data trends and make informed decisions regarding data management. By utilizing predictive analytics, storage solutions can analyze past data patterns and forecast future data requirements, optimizing resource allocation and enhancing storage efficiency. This ingredient helps businesses mitigate risks associated with data management and ensures that they are well-equipped to handle future data challenges. As organizations increasingly rely on data-driven decision-making, the demand for predictive analytics in storage solutions is expected to grow.

Image Recognition:

Image recognition technology is becoming increasingly relevant in the AI Powered Storage Market, particularly for organizations that deal with visual data. By incorporating image recognition capabilities, storage solutions can automate the categorization and retrieval of visual content, streamlining workflows and enhancing operational efficiency. This technology is especially valuable in industries such as media, healthcare, and retail, where visual data plays a critical role in decision-making. As the demand for efficient management of visual data increases, the integration of image recognition into storage solutions is expected to gain momentum.

Speech Recognition:

Speech recognition technology is an emerging ingredient in the AI Powered Storage Market, offering an innovative approach to data management and retrieval. By enabling users to interact with storage systems using voice commands, speech recognition enhances user experience and accessibility. This technology is particularly beneficial for organizations looking to improve productivity by allowing employees to access and manage data hands-free. As businesses continue to embrace advanced technologies to streamline operations, the adoption of speech recognition in storage solutions is expected to rise significantly.

By Region

The regional analysis of the AI Powered Storage Market reveals distinct growth patterns across various areas, with North America anticipated to lead the market due to its advanced technological infrastructure and a large number of cloud service providers. The region is projected to account for approximately 40% of the global market share by 2035, benefiting from significant investments in AI and machine learning technologies. As enterprises in North America continue to prioritize digital transformation, the demand for AI-powered storage solutions is expected to rise significantly, with a CAGR of around 16% during the forecast period.

Europe is another prominent region in the AI Powered Storage Market, accounting for approximately 25% of the market share by 2035. The European market is experiencing growth driven by the increasing adoption of cloud solutions and the rising need for advanced data management capabilities across industries. As organizations focus on compliance with data protection regulations such as GDPR, the demand for AI-powered storage solutions that offer enhanced security and efficient data management will continue to grow. Meanwhile, the Asia Pacific region is also witnessing rapid growth in the AI Powered Storage Market, largely fueled by the growing digital economy and increasing investments in technology infrastructure.

Opportunities

The AI Powered Storage Market is ripe with opportunities driven by the increasing volume of data generated globally and the continuous evolution of technology. Businesses are increasingly recognizing the need for powerful data management solutions that integrate AI capabilities to facilitate data analysis and enhance operational efficiency. The growing trend of digital transformation across various sectors presents a significant opportunity for vendors to provide innovative storage solutions that cater to the specific needs of organizations. Furthermore, as companies continue to invest in AI and machine learning technologies, there is an increasing demand for storage solutions that can effectively handle and process large volumes of data. This creates an ideal environment for the development and deployment of AI-powered storage solutions that can drive business intelligence and improve overall performance.

Moreover, the expansion of emerging technologies such as IoT and big data analytics is opening up new avenues for growth in the AI Powered Storage Market. As the number of connected devices continues to rise, organizations will require storage solutions capable of managing the vast amounts of data generated by these devices. The integration of AI technologies into storage systems can enable real-time data processing and analysis, enhancing decision-making processes and operational efficiency. Additionally, the increasing awareness of the importance of data security and compliance is driving demand for intelligent storage solutions that can provide enhanced security features. By capitalizing on these opportunities, vendors can position themselves as leaders in the evolving AI Powered Storage Market.

Threats

While the AI Powered Storage Market presents numerous opportunities, it is not without its share of threats that could impact growth. One of the primary concerns is the increasing competition among vendors, which may lead to price wars and reduced profit margins. As more players enter the market, companies must continuously innovate and enhance their offerings to maintain a competitive edge. Additionally, the rapid technological advancements in AI and storage solutions may create challenges for businesses trying to keep pace with the latest developments. Organizations that fail to adopt new technologies may find themselves at a disadvantage, potentially undermining their operational efficiency and market presence.

Another significant threat to the AI Powered Storage Market is the growing concern surrounding data privacy and security. As organizations increasingly rely on AI-powered solutions for data management, they must also contend with the risks associated with cyberattacks and data breaches. Ensuring the security of sensitive information while maintaining compliance with data protection regulations is paramount for businesses. Failure to address these concerns could result in reputational damage, legal penalties, and loss of customer trust, ultimately hindering market growth. As such, it is essential for vendors to prioritize the development of robust security measures within their storage solutions to mitigate these risks.

Competitor Outlook

• IBM Corporation
• Dell Technologies Inc.
• NetApp Inc.
• Hewlett Packard Enterprise
• Microsoft Corporation
• Amazon Web Services
• Google Cloud Platform
• Oracle Corporation
• Hitachi Vantara
• Pure Storage
• Seagate Technology Holdings PLC
• Western Digital Corporation
• Cloudian Inc.
• Veeam Software
• Commvault Systems Inc.

The competitive landscape of the AI Powered Storage Market is characterized by a diverse array of players ranging from established technology giants to innovative startups. These companies are actively investing in research and development to enhance their product offerings and maintain a competitive edge. The integration of advanced technologies such as AI and machine learning into storage solutions is a key focus area, as businesses seek to leverage these capabilities for improved data management and operational efficiency. Additionally, strategic partnerships and collaborations among vendors are becoming increasingly common, enabling companies to expand their market reach and enhance their service offerings.

Among the major players in the AI Powered Storage Market, IBM Corporation stands out with its comprehensive suite of AI-driven storage solutions tailored to meet the needs of enterprises. IBM's Watson AI platform enables organizations to efficiently manage and analyze their data, providing actionable insights and enhancing decision-making capabilities. Dell Technologies Inc. is another significant player, offering a range of storage solutions that incorporate AI and machine learning technologies, helping businesses optimize their data management processes. The company’s focus on hybrid cloud architecture has positioned it well to cater to the increasing demand for flexible storage solutions.

Another major player, Microsoft Corporation, is leveraging its Azure cloud platform to provide AI-powered storage solutions that enhance data accessibility and management. The combination of Azure's scalability and Microsoft’s AI capabilities allows organizations to effectively handle vast amounts of data while ensuring security and compliance. Similarly, Amazon Web Services (AWS) continues to dominate the cloud storage market, offering a variety of AI-enhanced storage solutions that cater to diverse customer needs. AWS's extensive range of services enables businesses to optimize their data management strategies and drive innovation across various sectors.

• 1 Appendix

  • 1.1 List of Tables
  • 1.2 List of Figures

• 2 Introduction

  • 2.1 Market Definition
  • 2.2 Scope of the Report
  • 2.3 Study Assumptions
  • 2.4 Base Currency & Forecast Periods

• 3 Market Dynamics

  • 3.1 Market Growth Factors
  • 3.2 Economic & Global Events
  • 3.3 Innovation Trends
  • 3.4 Supply Chain Analysis

• 4 Consumer Behavior

  • 4.1 Market Trends
  • 4.2 Pricing Analysis
  • 4.3 Buyer Insights

• 5 Key Player Profiles

  • 5.1 NetApp Inc.
    • 5.1.1 Business Overview
    • 5.1.2 Products & Services
    • 5.1.3 Financials
    • 5.1.4 Recent Developments
    • 5.1.5 SWOT Analysis
  • 5.2 Pure Storage
    • 5.2.1 Business Overview
    • 5.2.2 Products & Services
    • 5.2.3 Financials
    • 5.2.4 Recent Developments
    • 5.2.5 SWOT Analysis
  • 5.3 Cloudian Inc.
    • 5.3.1 Business Overview
    • 5.3.2 Products & Services
    • 5.3.3 Financials
    • 5.3.4 Recent Developments
    • 5.3.5 SWOT Analysis
  • 5.4 Veeam Software
    • 5.4.1 Business Overview
    • 5.4.2 Products & Services
    • 5.4.3 Financials
    • 5.4.4 Recent Developments
    • 5.4.5 SWOT Analysis
  • 5.5 Hitachi Vantara
    • 5.5.1 Business Overview
    • 5.5.2 Products & Services
    • 5.5.3 Financials
    • 5.5.4 Recent Developments
    • 5.5.5 SWOT Analysis
  • 5.6 IBM Corporation
    • 5.6.1 Business Overview
    • 5.6.2 Products & Services
    • 5.6.3 Financials
    • 5.6.4 Recent Developments
    • 5.6.5 SWOT Analysis
  • 5.7 Oracle Corporation
    • 5.7.1 Business Overview
    • 5.7.2 Products & Services
    • 5.7.3 Financials
    • 5.7.4 Recent Developments
    • 5.7.5 SWOT Analysis
  • 5.8 Amazon Web Services
    • 5.8.1 Business Overview
    • 5.8.2 Products & Services
    • 5.8.3 Financials
    • 5.8.4 Recent Developments
    • 5.8.5 SWOT Analysis
  • 5.9 Google Cloud Platform
    • 5.9.1 Business Overview
    • 5.9.2 Products & Services
    • 5.9.3 Financials
    • 5.9.4 Recent Developments
    • 5.9.5 SWOT Analysis
  • 5.10 Microsoft Corporation
    • 5.10.1 Business Overview
    • 5.10.2 Products & Services
    • 5.10.3 Financials
    • 5.10.4 Recent Developments
    • 5.10.5 SWOT Analysis
  • 5.11 Commvault Systems Inc.
    • 5.11.1 Business Overview
    • 5.11.2 Products & Services
    • 5.11.3 Financials
    • 5.11.4 Recent Developments
    • 5.11.5 SWOT Analysis
  • 5.12 Dell Technologies Inc.
    • 5.12.1 Business Overview
    • 5.12.2 Products & Services
    • 5.12.3 Financials
    • 5.12.4 Recent Developments
    • 5.12.5 SWOT Analysis
  • 5.13 Hewlett Packard Enterprise
    • 5.13.1 Business Overview
    • 5.13.2 Products & Services
    • 5.13.3 Financials
    • 5.13.4 Recent Developments
    • 5.13.5 SWOT Analysis
  • 5.14 Western Digital Corporation
    • 5.14.1 Business Overview
    • 5.14.2 Products & Services
    • 5.14.3 Financials
    • 5.14.4 Recent Developments
    • 5.14.5 SWOT Analysis
  • 5.15 Seagate Technology Holdings PLC
    • 5.15.1 Business Overview
    • 5.15.2 Products & Services
    • 5.15.3 Financials
    • 5.15.4 Recent Developments
    • 5.15.5 SWOT Analysis

• 6 Market Segmentation

  • 6.1 AI Powered Storage Market, By Application
    • 6.1.1 Enterprise Storage
    • 6.1.2 Personal Storage
    • 6.1.3 Cloud Storage
    • 6.1.4 Big Data Storage
    • 6.1.5 IoT Storage
  • 6.2 AI Powered Storage Market, By Product Type
    • 6.2.1 Cloud-based Storage
    • 6.2.2 On-premises Storage
    • 6.2.3 Hybrid Storage
    • 6.2.4 Edge Storage
    • 6.2.5 Object Storage
  • 6.3 AI Powered Storage Market, By Ingredient Type
    • 6.3.1 Machine Learning
    • 6.3.2 Natural Language Processing
    • 6.3.3 Predictive Analytics
    • 6.3.4 Image Recognition
    • 6.3.5 Speech Recognition
  • 6.4 AI Powered Storage Market, By Distribution Channel
    • 6.4.1 Online Stores
    • 6.4.2 Direct Sales
    • 6.4.3 Indirect Sales
    • 6.4.4 Value-added Resellers
    • 6.4.5 System Integrators

• 7 Competitive Analysis

  • 7.1 Key Player Comparison
  • 7.2 Market Share Analysis
  • 7.3 Investment Trends
  • 7.4 SWOT Analysis

• 8 Research Methodology

  • 8.1 Analysis Design
  • 8.2 Research Phases
  • 8.3 Study Timeline

• 9 Future Market Outlook

  • 9.1 Growth Forecast
  • 9.2 Market Evolution

• 10 Geographical Overview

  • 10.1 Europe - Market Analysis
    • 10.1.1 By Country
      • 10.1.1.1 UK
      • 10.1.1.2 France
      • 10.1.1.3 Germany
      • 10.1.1.4 Spain
      • 10.1.1.5 Italy
  • 10.2 Asia Pacific - Market Analysis
    • 10.2.1 By Country
      • 10.2.1.1 India
      • 10.2.1.2 China
      • 10.2.1.3 Japan
      • 10.2.1.4 South Korea
  • 10.3 Latin America - Market Analysis
    • 10.3.1 By Country
      • 10.3.1.1 Brazil
      • 10.3.1.2 Argentina
      • 10.3.1.3 Mexico
  • 10.4 North America - Market Analysis
    • 10.4.1 By Country
      • 10.4.1.1 USA
      • 10.4.1.2 Canada
  • 10.5 AI Powered Storage Market by Region
  • 10.6 Middle East & Africa - Market Analysis
    • 10.6.1 By Country
      • 10.6.1.1 Middle East
      • 10.6.1.2 Africa

• 11 Global Economic Factors

  • 11.1 Inflation Impact
  • 11.2 Trade Policies

• 12 Technology & Innovation

  • 12.1 Emerging Technologies
  • 12.2 AI & Digital Trends
  • 12.3 Patent Research

• 13 Investment & Market Growth

  • 13.1 Funding Trends
  • 13.2 Future Market Projections

• 14 Market Overview & Key Insights

  • 14.1 Executive Summary
  • 14.2 Key Trends
  • 14.3 Market Challenges
  • 14.4 Regulatory Landscape

Segments Analyzed in the Report

The global AI Powered Storage market is categorized based on

By Product Type

• Cloud-based Storage
• On-premises Storage
• Hybrid Storage
• Edge Storage
• Object Storage

By Application

• Enterprise Storage
• Personal Storage
• Cloud Storage
• Big Data Storage
• IoT Storage

By Distribution Channel

• Online Stores
• Direct Sales
• Indirect Sales
• Value-added Resellers
• System Integrators

By Ingredient Type

• Machine Learning
• Natural Language Processing
• Predictive Analytics
• Image Recognition
• Speech Recognition

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa

Key Players

• IBM Corporation
• Dell Technologies Inc.
• NetApp Inc.
• Hewlett Packard Enterprise
• Microsoft Corporation
• Amazon Web Services
• Google Cloud Platform
• Oracle Corporation
• Hitachi Vantara
• Pure Storage
• Seagate Technology Holdings PLC
• Western Digital Corporation
• Cloudian Inc.
• Veeam Software
• Commvault Systems Inc.