Research Report: 2023 Technology Spending Intentions Survey

Research Objectives

In order to assess technology spending priorities over the next 12-18 months, ESG recently surveyed 742 senior IT decision makers representing midmarket (100 to 999 employees) and enterprise-class (1,000 employees or more) organizations in North America and Western Europe. All respondents were personally responsible for or familiar with their organization’s 2022 IT spending, as well as their 2023 IT budget and spending plans at either an entire organization level or a business unit/division/branch level.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure data management Application & Infrastructure Modernization End User Computing

Complete Survey Results: 2023 Technology Spending Intentions Survey

Research Objectives

Ascertain IT budget outlook for 2023 overall and for specific technologies. Determine key business and technology priorities driving 2023 spending plans. Establish a profile of digitally mature companies in terms of the technologies and processes underlying their IT strategies. Monitor YoY trends with respect to technology adoption and changing customer preferences.



Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure data management Application & Infrastructure Modernization End User Computing

ESG Brief: The State of Open Source in Cloud Analytics

Abstract:

Many organizations use open source analytics and data management technology, which often serves as a foundation of their data-centric technology ecosystems. But deploying and managing open source tools and solutions are a challenge in many cases—a situation that calls for managed services to help ease the challenges and pave the way for increased open source adoption, especially in distributed cloud environments.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Argument for a Single Public Cloud Vendor to Support All Analytics Initiatives

Abstract:

Many decision makers are interested in standardizing their analytics initiatives on a single cloud provider’s infrastructure and services. A large majority think their organization would be open to considering such a move. This research highlights what they’d be looking for by doing so—easier management, simplified support, and more. But it also points to a fundamental question: Can one vendor meet all of an organization’s data needs?

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration

ESG Brief: Data Integration in a Multi-cloud World

Abstract:

Data integration is proving to be more complex in the cloud for a majority of organizations, especially ones that use public cloud services in multi-cloud environments as part of their analytics initiatives. Many are turning to new tools and managed services to help them cope with integration challenges. In a lot of cases, though, they're also moving to decrease the number of vendors they currently use.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Operational Management Conundrum of Data and Analytics in the Cloud

Abstract:

Most organizations use technologies from a variety of public cloud and third-party software providers to support their data management and analytics strategy. That complicates ongoing operational management of cloud analytics environments, and multi-cloud deployments exacerbate the challenges—and the headaches they cause. This research highlights what organizations are doing to try to ease the pain without disrupting critical data workflows.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Brief: The Continued Opportunity to Improve Time to Value in Data and Analytics Initiatives

Abstract:

While most IT decision makers believe their organization is doing a good job of acting on data insights, it often takes weeks or months to generate and then act on those insights. There's an opportunity to do better by deploying new technologies and making the data lifecycle more efficient—and organizations that don't address the time-to-value gap may find themselves lagging behind faster and more agile rivals.

Topics: Data Platforms, Analytics, & AI Cloud Services & Orchestration Systems Management

ESG Infographic: The Role of ESG Programs in IT Decision Making

Abstract:

IT suppliers' environmental, social, and governance (ESG) program status is a new and important evaluation factor for buyers.

See data behind this emerging trend with this free ESG Infographic, The Role of ESG Programs in IT Decision Making.

Topics: Cybersecurity Data Protection Data Platforms, Analytics, & AI Converged Infrastructure Infrastructure, Cloud and DevOps

ESG Complete Survey Results: The Role of ESG Programs in IT Decision Making

Research Objectives

Measure the impact of environmental, social, and governance (ESG) initiatives on the IT evaluation and purchase process. Identify the groups within organizations most responsible for adhering to ESG requirements as part of IT purchases. Highlight the costs and benefits that organizations have experienced as a result of complying with ESG initiatives. Determine which vendors/brands are perceived as strong in terms of ESG and which are viewed as laggards.

Topics: Storage Cybersecurity Data Protection Networking Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration Systems Management End User Computing

ESG Brief: Movement Across the Distributed Cloud Is a Regular Occurrence

Abstract:

As enterprises digitally transform and IT environments become more dispersed across multiple public clouds and on-premises data centers, the process of moving data, applications, and workloads to and from various locations quickly becomes regular practice. Moving just one application to and from a location can be difficult, time-consuming, and expensive, in most cases requiring a week or more. For large environments, the costs can be significant. As a result, organizations must take a more deliberative, evaluative approach to moving data and applications when migrating to the cloud and across clouds.

Topics: Data Platforms, Analytics, & AI Converged Infrastructure Cloud Services & Orchestration