Business Applications & End-user Computing

  • Organizations continue to face increasing complexity in endpoint management and security that is driven by the rapid expansion of remote work, rising device and OS sprawl, vulnerability management and incident response challenges, and continuing threats like ransomware. At the same time, the growing influence of AI and automation is reshaping both offensive and defensive strategies—empowering defenders with new tools while enabling bad actors to launch more sophisticated attacks. Enterprise Strategy Group recently surveyed IT and cybersecurity professionals to gain insights into these trends.

    To learn more, download the free infographic, The Growing Role of AI in Endpoint Management and Security Convergence.

  • This Complete Survey Results presentation focuses on the current trends in endpoint management and security, including the approaches taken and challenges experienced by organizations, as well as the desire to consolidate management and security technologies and processes.

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  • End Users Who Lack AI Guidance Elevate Risk

    End users across industries are inspired by and curious about the possibilities of using AI to help them do their jobs more efficiently. However, organizations find themselves at varying levels of harnessing that enthusiasm while properly accounting for AI use risks like cybersecurity and inaccurate results. Recent research by Enterprise Strategy Group investigated how end users are experiencing the rollout and support of AI initiatives at their organizations and found that many teams are leaving their businesses open to risk.

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  • Organizations continue to face increasing complexity in endpoint management and security that is driven by the rapid expansion of remote work, rising device and OS sprawl, vulnerability management and incident response challenges, and continuing threats like ransomware. At the same time, the growing influence of AI and automation is reshaping both offensive and defensive strategies—empowering defenders with new tools while enabling bad actors to launch more sophisticated attacks.

    To gain further insight into these trends, how organizations are attempting to overcome challenges, and the results of their efforts, Enterprise Strategy Group surveyed 364 IT and cybersecurity professionals in North America (U.S. and Canada) responsible for evaluating, purchasing, and managing endpoint management and/or security technologies.

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  • Organizations are constantly developing and deploying new applications in an effort to supercharge business processes, enhance employee productivity, deliver unique customer experiences, and more. As a result, many enterprises have ended up with a massive application portfolio. Recent research by Enterprise Strategy Group investigated how application volumes can affect an organization’s observability needs now and in the future.

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  • The messages from vendors in the early days of AI PCs were focused on concepts like audio and video enhancement, real-time translation, and accessibility features (e.g., sign language interpretation, gesture-based controls, etc.). As the AI PC market matures, new light is shone on the success factors that organizations need to see to increase adoption, and recent research by Enterprise Strategy Group found that those features go far beyond basic AI functionality and value.

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  • The allure of Windows PCs equipped with ARM processers has been tantalizing for many years, especially with the rise of more powerful smartphones. The desire reached a fever pitch when Apple switched to an ARM architecture for its laptops in 2020, which enabled it to boast unheard of battery life and performance numbers. Since then, Microsoft (and hardware vendors) have been looking to diversify their offerings. Recent research by Enterprise Strategy Group investigated the current interest levels in ARM-based Windows devices as well as the benefits and challenges organizations expect to experience from utilizing them.

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  • As AI adoption accelerates, organizations are evaluating how AI-driven workloads impact end-user support, digital workspaces, and endpoint strategies. At the same time, IT and security teams face growing challenges related to “shadow AI”—unsanctioned AI tools used by employees. Enterprises must weigh the urgency of AI adoption against other IT priorities, balancing the need to stay competitive with a cautious approach to emerging AI hardware investments. TechTarget’s Enterprise Strategy Group recently surveyed business professionals to gain insights into these trends.

    To learn more, download the infographic, AI at the Endpoint: The Impact of AI on End Users and Endpoint Devices.

  • Employee work flexibility, enhanced security, and other benefits are driving organizations to adopt or further deploy desktop-as-a-service (DaaS) technologies. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that the advantages of DaaS strategies must be highly valued by enterprise teams today because they appear willing to overlook some shortcomings in cost expectations to continue to use the technology.

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  • Historically, Windows has been the standard desktop environment for business devices because most organizations’ applications were Windows applications. This concept extended to desktop and application virtualization as well, and since the advent of virtual desktop infrastructure (VDI) in the late 2000s, virtual workloads tended to be more desktop-focused than application-focused. Recent research by Informa TechTarget’s Enterprise Strategy Group revealed that certain market forces are turning these trends on their head.

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  • VDI and DaaS Trends in the Hybrid Digital Workplace

    As organizations continue to evolve their digital workspace strategies, desktop and application virtualization remain mission-critical components of IT (and business) operations, enabling flexible, secure, and efficient delivery of Windows applications and desktops to end users. That said, the way these technologies are deployed is shifting DaaS adoption is increasing, as are hybrid models that spread workloads out across multiple infrastructures and locations. TechTarget’s Enterprise Strategy Group recently surveyed IT professionals to gain insights into these trends.

    To learn more about these trends, download the free infographic, VDI and DaaS Trends in the Hybrid Digital Workplace.

  • VDI and DaaS Trends in the Hybrid Digital Workplace

    As organizations continue to evolve their digital workspace strategies, desktop and application virtualization remain mission-critical components of IT and business operations. They enable flexible, secure, and efficient delivery of Windows applications and desktops to end users regardless of where they are or what device they’re using. From geographically dispersed user bases to manufacturing and healthcare settings, desktop virtualization remains an important—though often taken for granted—component of IT.

    That said, the way these technologies are deployed is shifting: DaaS adoption is increasing, as are hybrid models that spread workloads out across multiple infrastructures and locations. Despite this, traditional infrastructure investments are still increasing due largely to Windows applications and an increasingly diverse endpoint environment.

    Even with the proliferation of browser-based applications, Windows applications remain in use at a large scale. Organizations need to find a way to deliver and manage these Windows applications that accommodates the use cases, the end users, and the applications themselves while aligning these efforts with the business’s overall goals, which often include security, cost optimization, IT resource utilization, and end-user productivity.

    To gain further insights into these trends, Informa TechTarget’s Enterprise Strategy Group surveyed 377 IT professionals at midmarket and enterprise organizations in North America (US and Canada) involved with end-user computing technology and processes. These organizations were required to be current users of some form of desktop or application virtualization.

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