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Browse our extensive library of research reports, research-based content, and blogs for actionable data and expert analysis of the latest B2B technology trends, market dynamics, and business opportunities.

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Data Management, Analytics & AI

  • Q2 2024 Activity Trends: What’s Driving Growth Across the TechTarget & BrightTALK Network

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    Corey DeFreese

    Discover what’s trending on our network to engage IT buyers in market now and improve marketing and sales effectiveness. This report covers trending areas of interest across 240+ IT markets over the last 6 months (January 2024 – June 2024) in five (5) regions across the TechTarget & BrightTALK network: WW, NA, EMEA, APAC, LATAM. In this report you will find:

    ·The top 20 broad technology markets driving the most activity in the past 6 months. Activity data can help show where audience research is growing or declining and therefore help reinforce which markets are on the rise or declining.

    ·The top 25 granular topics growing the most across the TechTarget and BrightTALK network in the last 6 months. This gives insight into the content areas that are on the rise right now to leverage in your conversations.

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  • Evaluating the Pillars of Responsible AI

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    Mike Leone

    Amid the breakneck pace of AI integration into nearly every facet of today’s businesses, organizations increasingly face the difficult challenge of ensuring responsible AI use across their entire ecosystems. Effective policies and strategies ultimately comprise a host of crucial considerations with data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and others. TechTarget’s Enterprise Strategy Group recently surveyed professionals involved in the strategy, decision-making, selection, deployment, and management of AI initiatives and projects to gain insights into these trends.

    To learn more about these trends, download the free infographic, Evaluating the Pillars of Responsible AI.

    Download Now

  • Evaluating the Pillars of Responsible AI

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    Mike Leone

    Amid the breakneck pace of AI integration into nearly every facet of today’s businesses, organizations increasingly face the difficult challenge of ensuring responsible AI use across their entire ecosystems. Creating robust, comprehensive policies that ensure AI technologies are developed and used ethically and responsibly is now a top priority, even for organizations still in the early stages of AI deployments. Effective policies and strategies ultimately comprise a host of crucial considerations with data used in AI models and technologies, including accountability, transparency, accuracy, security, reliability, explainability, bias, fairness, privacy, and others.

    Without effective responsible AI strategies, organizations risk numerous impacts to their businesses and processes, ranging from reputational damage and legal consequences to increased costs and slower time to market. While the need for responsible AI is clear, execution is a challenging endeavor for most organizations as they work to keep pace with a fast-moving market, as well as stay ahead of evolving regulations that increasingly define the overall use of AI. To gain further insight into these trends and challenges, TechTarget’s Enterprise Strategy Group surveyed 374 professionals at organizations in North America (US and Canada) involved in the strategy, decision-making, selection, deployment, and management of artificial intelligence initiatives and projects.

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  • Data Resilience Emerges: The Collision of Data Discovery, Protection, Security, and Governance

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    Jon Brown

    This Complete Survey Results presentation focuses on the volume and distribution of sensitive data, the most important data to protect, the automation of sensitive data discovery, data classification strategies, data-resilience perceptions and strategies, data security posture management strategies, data-resilience stakeholders, and spending plans.

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  • AI Use Cases Blossom Across Industries

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    Mike Leone

    Across all major industries, leadership teams are chartering their departments with pursuing AI to improve key business processes. Recent research by TechTarget’s Enterprise Strategy Group revealed that different industries are looking to AI to address diverse use cases depending on the dynamics of their business operations, core trade considerations, commerce styles, and other factors.

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  • Business Intelligence Set to Rise With Stakeholder Enablement

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    Mike Leone

    Across the highly competitive markets of the modern day, businesses look to technology to augment their teams with any edge or advantage available. Recent research by TechTarget’s Enterprise Strategy Group revealed that although business intelligence (BI) tools hold immense potential to supercharge operations and decision-making, employee usage of these technologies has been slow to date.

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  • Generative AI Becomes an Analytics and Business Intelligence Game Changer

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    Mike Leone

    Generative AI (GenAI) use is on the strategic charter of business lines across organizations and industries. Recent research by TechTarget’s Enterprise Strategy Group found that the space of business intelligence (BI) is no different, with decision-makers planning for robust GenAI usage that promises to boost engagement in analytics tools that supply crucial business insights.

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  • Emily Marsh

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    Christian Perry

  • Christian Perry

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    Christian Perry

  • Mark Beccue

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    Dave McGuire

    About

    Principal Analyst Mark Beccue is one of a handful of pioneering analysts who began to focus on AI market research in 2015 and is considered one of the top advisers and thought leaders in AI and generative AI market research.

    His expertise in AI use cases, applications/software and services, natural language AI and broader trends surrounding AI market adoption have made him a well-known adviser and sought after speaker, panel moderator, conference chair and media resource who can develop and communicate AI market analysis designed for business audiences.

    Mark has deep experience in the technology business. Before becoming a tech market research analyst in 2008,  Mark worked for 10 years for a global telecom software company in product management, greenhouse innovation and marketing roles. He earned a Bachelor of Science degree in Journalism from the University of Florida. 

    Areas of Expertise

    • AI Development Platforms & Tools
    • AI Lifecycle Management
    • AI Risk Management
    • Foundation Models/LLMs
    • Legacy and Generative AI
    • Natural Language AI
    • On-device AI
    • Operationalizing AI in the Enterprise
    • Responsible AI/AI Governance

    Connect with Mark Beccue

    Request Briefing

    Quoation Mark

    Generative AI holds great promise, but we have barely scratched the surface of how to harness it. Savvy businesses will be patient, pragmatic, and responsible in their approach.”

    Mark Beccue
    Principal Analyst, Artificial Intelligence

    Mark Has Appeared In

    Latest Insights from Mark

    Research Brief | September 9, 2025

    Transaction-heavy Industries Flock to AI Agents for Optimization

    Mark Beccue
    Emily Marsh
    Christian Perry

    Data Analytics & Artificial Intelligence

    Research Brief | September 9, 2025

    Organizations Increasingly Commit to AI Agents, Despite Early Challenges

    Mark Beccue
    Emily Marsh
    Christian Perry

    Data Analytics & Artificial Intelligence

    Infographic | August 22, 2025

    AI Agents: The Game-changing Generative AI Use Case

    Mark Beccue

    Data Analytics & Artificial Intelligence

    Research Report | August 22, 2025

    AI Agents: The Game-changing Generative AI Use Case

    Mark Beccue
    Emily Marsh

    Data Analytics & Artificial Intelligence

  • Reinventing Backup and Recovery With AI and ML

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    Jon Brown

    Artificial intelligence and machine learning (ML) are topics frequently discussed in various contexts today, primarily regarding their impact on society and application in specific scenarios. When it comes to backup and recovery, two questions are significant: How much AI-generated data needs protection? How will backup and recovery processes adapt to take advantage of these rapidly evolving technologies? TechTarget’s Enterprise Strategy Group recently surveyed IT and data professionals familiar with and/or responsible for data protection and data science for their organization to gain insights into these trends.

    To learn more about these trends, download the free infographic, Reinventing Backup and Recovery With AI and ML.

    Download Now

  • Reinventing Backup and Recovery With AI and ML

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    Jon Brown

    Artificial intelligence (AI) is transforming the world of backup and recovery, bringing new opportunities and challenges for organizations that want to protect and leverage their data assets for business value. AI can help automate backup and recovery processes, improve data security and resilience, enable data reuse and insights, and optimize costs and performance. However, AI also poses new risks and concerns, including data privacy and compliance, data management and integration, ransomware attacks, and staff skill gaps.

    To understand how organizations are adopting AI and machine learning in their backup and recovery strategies, TechTarget’s Enterprise Strategy Group surveyed 375 IT and data professionals familiar with and/or responsible for data protection and data science decisions for their organization.

    Already an Enterprise Strategy Group client? Log in to read the full report.
    If you are not yet a Subscription Client but would like to learn more about accessing this report, please contact us.