Research

Abstract:

Most organizations will increase cybersecurity spending in 2020, driven by the desire to protect business processes and counteract dangerous threats. In fact, organizations targeted by cyber-attacks like ransomware are far more likely to increase spending than those that have not. While most are likely to invest in AI/ML-based analytics, data security, network security, and application security, CISOs will spread budget dollars around in many areas. The data indicates that many organizations are in the process of reengineering their entire cybersecurity infrastructure in an attempt to improve efficacy, streamline security operations, and support new technology-driven business processes.

Abstract:

In 2019, ESG conducted a research study to better understand enterprise storage buying drivers and challenges across both on- and off-premises cloud environments. This was a quantitative web-based survey covering 372 IT and storage professionals responsible for evaluating, purchasing, and managing data storage technology—including external disk-based storage systems—for their organization.

The objectives for this research included investigating trends in storage for both on- and off-premises environments; storage challenges for file, block, and cloud-based technologies; on-premises technologies such as flash, NVMe, NVMe-oF, and SDS; and the differences between high and low data growth organizations.

Abstract:

Fundamental changes to application architectures and the infrastructure platforms that host them is antiquating existing cybersecurity technologies and challenging traditional approaches to protecting business-critical workloads. Additionally, the continuous integration and continuous delivery (CI/CD) process of DevOps is as impactful a change to cybersecurity programs as the changes to the applications and infrastructure that these methodologies manage.

In order to get more insight into these trends, ESG surveyed 371 IT and cybersecurity professionals at organizations in North America (US and Canada) responsible for evaluating, purchasing, and managing cloud security technology products and services. These organizations are mature cloud users in terms of public cloud services and/or containers.

Abstract:

As organizations look to prioritize data-driven initiatives, the success of those initiatives will be directly tied to people, processes, and technology. While data science may seem aspirational or even foreign to some organizations, ESG research shows direct ties between organizations with a data science team and better use of data, better use of technology, and better business outcomes. For those organizations looking to drive greater business value through the use of data, a formal data science team can help.

Abstract:

The broad adoption of cloud services as a source of and repository for business-critical data is placing the onus on data owners to deliver on data protection SLAs for data and applications that are hosted in the cloud. Concurrently, on-premises backup and disaster recovery workloads are leveraging cloud destinations, resulting in hybrid data protection topologies with varying service levels, end-user tradeoffs, and opportunities. How are IT organizations utilizing cloud services as part of their data protection strategy today?

In order to get more insight into these trends, ESG surveyed 370 IT professionals at organizations in North America (US and Canada) responsible for data protection technology decisions for their organization, specifically around those data protection and production technologies that may leverage cloud services as part of the solution.

Abstract:

ESG conducted a comprehensive online survey of IT professionals at private- and public-sector organizations in North America (US and Canada) between December 9, 2019 and December 17, 2019. To qualify for this survey, respondents were required to be IT/information security professionals responsible for or familiar with their organization’s cybersecurity environment and strategy.

The data in this master survey results set covers:

• The cybersecurity technology landscape.
• Perceptions of and requirements for enterprise-class cybersecurity vendors.
• Enterprise-class cybersecurity platforms.
• Security sentiment for cloud service providers.

Abstract:

In order to assess the network security landscape over the last 12-24 months, as well as what the priorities over the next 12-24 months are expected to be, ESG surveyed 265 IT security professionals representing enterprise-class (i.e., 1,000 employees or more) organizations in North America (United States and Canada). All respondents were personally responsible for evaluating, purchasing, and managing network security technology products and services.

Survey participants represented a wide range of industries including manufacturing, financial, healthcare, and communications and media, among others.

Abstract:

This Master Survey Results presentation focuses on the current state of network security, including current strategies and challenges, and how these are guiding the current and (expected) future usage of foundational network security technologies.

Topics covered include:

• Modern network security challenges.
• The confusion around "zero trust."
• Top considerations for SDP and microsegmentation initiatives. 
• The state of the DDoS prevention market.
• Third-party deception tool adoption drivers.

Abstract:

ESG conducted a comprehensive online survey of IT and cybersecurity professionals from private- and public-sector organizations in North America (United States and Canada) between September 23, 2019 and October 2, 2019. To qualify for this survey, respondents were required to be responsible for evaluating, purchasing, and managing endpoint security technology products and services.

This Master Survey Results presentation focuses on modern endpoint security challenges, plans, and strategies to understand the drivers of endpoint security investments and how decision makers are prioritizing and timing purchase decisions.

Abstract:

With the value of data continuing to increase, organizations are constantly looking for better and faster ways to store, access, and analyze it. While many organizations have existing technologies to help stream, collect, store, and analyze both structured and unstructured data, challenges remain that are preventing wider usage of analytics within these organizations. With a goal of consolidating infrastructure and operational silos to address a constantly growing data footprint, data lakes are increasingly becoming the technology of choice.

Abstract:

Enterprise data warehouses (EDWs) have existed for about 20 years, serving as the foundation of insight-driven organizations, delivering timely analysis and reporting of structured data; handling large analytics workloads; and supporting the high levels of concurrency that organizations demand. But while EDWs have been a familiar presence in many organizations, as companies look to reduce their data center footprints, increase organizational agility, and incorporate as much data as possible into their analytics workflows, the architectural rigidity, complexity, and cost of traditional EDWs have paved the way for modern data warehouses to better respond to the dynamic needs of the business.