Will AI replace market research analyst jobs?

Market research analysts face a 64/100 AI disruption score—high but not existential. AI will automate routine data processing and survey tabulation, but strategic interpretation, consumer psychology understanding, and business decision-making remain distinctly human domains. The role is transforming, not disappearing: analysts who leverage AI as a tool will thrive.

How will AI change the market research analyst role?

The 64/100 disruption score reflects a paradox: while AI excels at low-skill tasks (tabulating survey results, processing digital data, ensuring data quality), it struggles with high-value work. Vulnerable skills like routine data tabulation and follow-the-news monitoring are being automated. However, resilient core competencies—demography expertise, strategic business decision-making, psychology, and predictive modeling—remain resistant to automation. AI complements this role highly (73.91/100), meaning analytics work intensifies rather than shrinks. Near-term (2-3 years): routine analysts face pressure; AI tools handle data cleaning and basic aggregation. Long-term: the analyst role bifurcates—junior positions consolidate toward analytics platforms, while senior strategists become more valuable because AI amplifies their ability to process larger datasets and run scenario models faster. The sweet spot: analysts who build predictive models and translate psychological insights into strategy will command premium value.

High Risk

market research analyst

Q: What skills does a market research analyst need to stay relevant with AI?

Key skills for market research analyst in the AI era include: LINQ, follow the news, quantitative analysis, perform data analysis, apply statistical analysis techniques. These are areas where AI augments human capabilities rather than replacing them.

Market research analysts collect the information gathered in the market research and study it to draw conclusions. They define the potential customers of a product, the target group and the way they can be reached. Market research analysts analyse the position of products in the market from different perspectives such as features, prices and competitors. They analyse cross selling and interdependencies between different products and their placement. Market research analysts prepare information helpful for the development of marketing strategies.

ISCO 2431Explore this role

60

Skill Vulnerability

Impact: Now

66

Task Automation

Impact: 1–3 years

74

AI Enhancement

Impact: 5+ years

How AI Will Change This Role

Expected Impact Timeline

Near-term (1-3 years)

AI tools already augmenting 30-50% of routine tasks. Early adopters gaining productivity edge.

Mid-term (3-7 years)

Significant task automation expected. Role will evolve — fewer positions, higher skill requirements.

Long-term (7-15 years)

Role substantially transformed. Remaining positions require AI management skills + deep domain expertise.

Expected Salary Impact

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Downward salary pressure expected as AI automates key tasks

Job Demand Outlook

↘

Fewer openings expected as AI handles core tasks

Tasks Most Likely to Be Automated

⚠tabulate survey results
⚠follow the news
⚠LDAP
⚠data quality assessment

Tasks That Will Remain Human

✔demography
✔make strategic business decisions
✔psychology
✔consumer goods industry

Skills to Develop for AI Resilience

LINQfollow the newsquantitative analysisperform data analysisapply statistical analysis techniques

⚠ Most Vulnerable Skills

tabulate survey results88%

tabulate survey resultsCollate and organise the answers gathered in interviews or polls in order to be analysed and draw conclusions from them.

follow the news88%

follow the newsFollow current events in politics, economics, social communities, cultural sectors, internationally, and in sports.

LDAP85%

LDAPThe computer language LDAP is a query language for retrieval of information from a database and of documents containing the needed information.

data quality assessment85%

data quality assessmentThe process of revealing data issues using quality indicators, measures and metrics in order to plan data cleansing and data enrichment strategies according to data quality criteria.

digital data processing82%

digital data processingIdentify, locate, retrieve, store, organise and analyse digital information, judging its relevance and purpose.

Exposure

✔ Most Resilient Skills

demography32%

demographyThe scientific field of study that deals with studying the size, structure, and distribution of the human population, and its geographical and temporal changes.

make strategic business decisions32%

make strategic business decisionsAnalyse business information and consult directors for decision making purposes in a varied array of aspects affecting the prospect, productivity and sustainable operation of a company. Consider the o...

psychology34%

psychologyThe human behaviour and performance with individual differences in ability, personality, interests, learning, and motivation.

consumer goods industry35%

consumer goods industryThe consumer goods industry refers to a concrete economic sector that produce and sell goods to consumers for they direct consumption, enjoyment or use. Industry that covers a wide range of activities...

build predictive models35%

build predictive modelsCreate models to predict the probability of an outcome.

Exposure

✨ AI-Enhanced Skills

LINQ85%

LINQThe computer language LINQ is a query language for retrieval of information from a database and of documents containing the needed information. It is developed by the software company Microsoft.

follow the news85%

follow the newsFollow current events in politics, economics, social communities, cultural sectors, internationally, and in sports.

quantitative analysis82%

quantitative analysisThe technique of employing statistical and mathematical modelling and measurement to represent a specific reality through numbers.

perform data analysis82%

perform data analysisCollect data and statistics to test and evaluate in order to generate assertions and pattern predictions, with the aim of discovering useful information in a decision-making process.

apply statistical analysis techniques82%

apply statistical analysis techniquesUse models (descriptive or inferential statistics) and techniques (data mining or machine learning) for statistical analysis and ICT tools to analyse data, uncover correlations and forecast trends.

AI Boost