When Will AI Replace Analystes en études de marché et spécialistes du marketing ?

The impact of AI on market research analysts is phased. Early disruptions begin as early as 2026, affecting approximately 20% of entry-level positions. By mid-2028, a significant wave of automation will hit, with around 55% of traditional tasks automated. By late 2030, the landscape will be profoundly reshaped, with advanced AI capabilities extending into strategic recommendation generation.

The initial impact, starting in 2026, will primarily affect junior market research analysts and data coordinators. Automated survey platforms and AI-generated reports will handle a portion of their workload, leading to a 20% change in entry-level roles. This early phase is characterized by the automation of repetitive data gathering and initial processing.

The mass wave of transformation is expected around mid-2028. Generative AI will mature in producing strategic recommendations from raw data. Routine data collection, survey design and processing, competitive analysis reports, social media analytics, basic segmentation modeling, and dashboard creation—tasks consuming 50-70% of analysts' time—will be largely automated by platforms like Qualtrics AI and ChatGPT-powered analysis.

Junior market research analysts and data coordinators are identified as facing the initial impact, with around 20% of entry-level positions affected by automated survey platforms and AI-generated reports. Mid-level marketing specialists and consumer insights analysts will experience the mass wave of automation around 2028 as AI capabilities grow.

While specific roles are at higher risk, the executive summary does not detail roles that are safe or provide salary increase data. The focus is on the automation of existing tasks within the market research analyst profession, suggesting a need for adaptation rather than outright replacement for many.

To navigate the AI transformation, analysts must focus on upskilling and adapting to new AI-driven tools. Embrace platforms like Qualtrics AI, SurveyMonkey Genius, and ChatGPT for data analysis to enhance your capabilities. Learn to leverage AI consumer behavior platforms such as Brandwatch and Talkwalker for deeper insights.

The key to thriving lies in mastering AI-powered analytics, generative AI survey tools, and predictive consumer insights systems. Focus on tasks that require human nuance, strategic thinking, and complex interpretation, areas where AI currently complements rather than replaces human expertise. Adaptability and continuous learning are crucial.