Insight

  • 2023 Technology Spending Intentions Survey

    Research Objectives

    Based on a survey of 742 senior IT decision makers at midmarket and enterprise organizations, the 2023 Technology Spending Intentions Survey analyzes private and public sector technology spending expectations, the business and technology priorities driving those plans, and year-over-year trends in technology adoption and customer preferences. This year’s study from TechTarget’s Enterprise Strategy Group finds that enterprise technology spending will generally slow due to global macroeconomic conditions and the threat of a worldwide recession, but aggressive investments are expected to continue among more digitally transformed organizations.

    For more information on this research, please visit www.esg-global.com/2023-technology-spending.

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  • The Modern Data Platform Drives Data-centric Organizations

    GettyImages-1367337633IT leads the modern data platform, functioning as the conduit, efficiently delivering the correct data to the right users, to empower data-driven decision-making in organizations. Over the last decade, IT vendors have been trying to develop and offer solutions to address the flood of data that companies manage. A modern data platform tries to solve this problem. It’s a combination of interoperable, scalable and modular technologies, working together to deliver an enterprise’s overall data needs.

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  • 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.

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  • GettyImages-1362980481At Big Data London, data quality and intelligence took center stage as companies strive for fast and efficient delivery of quality information — and the vendors to make it happen. Big Data London is the U.K.’s leading data and analytics event, with more than 150 vendors, 300 expert speakers, and an estimated 10,000 attendees coming together to discuss data-driven strategies. During the event, I interviewed seven vendors to get their perspectives and insights on where the market was going, the challenges they saw, and more.

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  • Unlock Data Clean Rooms by Solving the People Problem

    dataops_skill_gap-fData clean rooms are moving into the mainstream as privacy concerns complicate measuring ad ROI, but the “people problem” poses challenges to data operation success. Data clean rooms are becoming the preeminent tool for brands to better understand the place of digital marketing within the broader marketing ecosystem. In fact, data clean rooms are key for measuring advertising effectiveness, especially as advertisers are relying on cookies less, due to privacy regulations and big tech changes.

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  • The Advancing Role of Data-centric Developers

    GettyImages-1350230166More than ever, increases in data-centric developer reliance, data sources, and users push developers to understand IT purchasing to provide more value to data. The days of creating data-generating systems for a single operational or analytics application are over. Because of this, developers must become more data-centric to increase business agility and empower data consumers — including internal teams, partners, and customers. Data-centric developers are expanding their sphere of influence on IT purchasing decisions and maximizing the value of data.

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  • Walking the Line: GitOps and Shift Left Security

    Research Objectives

    As organizations adopt modern software development processes, developers are empowered to quickly develop and release their applications by deploying them to the cloud. Security teams are challenged keeping up with the growth and speed of continuous integration/continuous deployment (CI/CD) cycles and their dynamic components.

    While the industry has been talking about shifting security left to help security scale with rapid development, organizations have faced challenges putting that into practice. Most cloud-native security incidents are caused by misconfigurations, putting pressure on security teams to find ways to incorporate security into development so coding issues are caught and fixed before deployment. Organizations also need to focus on better ways to work with developers for rapid remediation of any detected security issues.

    In order to gain insights into these trends, ESG surveyed 350 IT (30%) and cybersecurity (40%) decision makers, as well as application developers (30%), responsible for evaluating, purchasing, and utilizing developer-focused security products at midmarket (100 to 999 employees) and enterprise (1,000 or more employees) organizations in North America (US and Canada).


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  • SaaS Data Protection: A Work in Progress

    Research Objectives

    Determine key challenges organizations face deploying and leveraging data protection mechanisms for their SaaS environments. Understand the education and best practices gaps that exist in protecting SaaS environments, with specific focus on key capabilities and data protection SLAs. Gain insights into key trends and requirements for successful high availability and data protection strategies for SaaS environments. Gauge end-users’ data protection knowledge and challenges for specific SaaS environments.

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  • The State of Open Source in Cloud Analytics

    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.

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  • 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?

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  • Walking the Line: GitOps and Shift Left Security

    Research Objectives

    Determine the extent to which organizations incorporate security into developer workflows. Understand the challenges organizations face with faster cloud-native development lifecycles. Gain insights into what types of solutions are most effective at securing software without slowing development processes. Gauge buyer preferences for vendor solutions, how solutions are deployed, and how to reduce work across teams.

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  • SOC Modernization and the Role of XDR

    Explore new research into how security operations centers are coping with the massive scale needed to meet modern demands with this infographic, SOC Modernization and the Role of XDR.