Industry expertise
AI claims are everywhere. Credible AI data is not.
CITE Research measures adoption, buyer priorities, workforce attitudes, trust, governance, cybersecurity and market readiness.
Discuss an AI Research StudyWhat CITE provides
CITE Research designs and conducts quantitative and qualitative AI research with business decision-makers, technology professionals, employees, consumers and other relevant audiences.
We define the market question, qualify the audience, develop the research instrument, manage fieldwork and quality review, analyze the findings and deliver evidence for strategy, thought leadership, communications and go-to-market decisions.
At a Glance
Audiences
CIOs, CISOs, IT buyers, AI professionals, developers, business leaders, employees and consumers
Methods
Surveys, interviews, focus groups and mixed-method research
Markets
U.S. and international studies
Timing
Approximately 3–4 weeks for focused quantitative research
Deliverables
Findings, data, reports, presentations, methodology and media-ready statistics
Measure current adoption, planned investment, maturity and use cases across industries, company sizes, departments and professional roles. Research can distinguish between experimentation, limited deployment and organization-wide implementation.
Understand how technology buyers identify, evaluate and select AI solutions. Findings can support product development, positioning, messaging, sales enablement and go-to-market strategy.
Examine how businesses and consumers think about transparency, privacy, bias, accuracy, accountability and responsible AI. Research can help determine how governance policies compare with reported practices.
Examine how professionals and organizations report AI affecting roles, workflows, productivity and workforce planning.
Explore the relationship between AI adoption and organizational security by surveying CISOs, security leaders, IT decision-makers and other qualified professionals.
Determine how buyers perceive your organization, competitors and the broader AI marketplace. Competitive research can measure awareness, consideration, credibility, differentiation, perceived strengths and purchase preference.
Compare AI adoption, regulatory readiness and attitudes across countries and regions using consistent methodology. Global programs can identify differences in adoption, trust, investment, governance and market readiness.
Transform important AI questions into original, newsworthy evidence for press releases, media outreach, flagship reports, benchmarks, executive thought leadership, LinkedIn content and conference presentations.
Explore AI Surveys for PR and Thought LeadershipAI markets move quickly, but sound research still requires clear objectives, qualified audiences, neutral questions and careful interpretation. CITE Research has conducted AI-related research since 2016, providing experience grounded in the broader evolution of AI adoption and perceptions.
Screening criteria can include job function, seniority, company size, industry, decision-making responsibility, technology usage and purchasing involvement.
CIOs and CTOs
CISOs and cybersecurity leaders
IT decision-makers
Data and analytics professionals
AI and machine-learning professionals
Software developers
Business leaders
Small and midsize business decision-makers
Marketing and communications professionals
HR and workforce leaders
Healthcare professionals
Financial-services professionals
Employees and knowledge workers
U.S. and global consumers
Product strategy and roadmaps
Market opportunity and demand assessment
Buyer-persona development
Brand and competitive positioning
Messaging and value-proposition testing
Go-to-market planning
Sales enablement
Analyst briefings
Investor communications
Earned-media campaigns
Thought-leadership reports
Industry benchmarks
Conference presentations
Customer and employee communications
CITE Research surveyed 1,000 technology-sector employees across the United States, United Kingdom, France, Germany and Italy for Dassault Systèmes. The study examined workplace AI adoption, cybersecurity skills and barriers to digital transformation.
Research strategy
Audience and sample recommendations
Questionnaire or discussion-guide development
Respondent recruitment
Fieldwork management
Data-quality controls
Methodology documentation
Topline findings and cross-tabulations
Strategic analysis and executive summaries
Raw data, charts and visualizations
Media-ready statistics and story recommendations
Clients own their data and can use the findings across communications, marketing, sales and strategic initiatives.
Align on the question, audience and intended use.
Develop the methodology, qualification criteria and research instrument.
Manage recruitment, fieldwork and quality review.
Provide findings, implications, methodology and agreed supporting materials.
AI market research examines how businesses, professionals or consumers adopt, evaluate and experience artificial intelligence. It can measure adoption, buying priorities, use cases, trust, governance, security concerns and market opportunities.
An AI adoption survey measures how organizations or individuals currently use AI, where they plan to invest and what prevents broader implementation. Strong adoption research distinguishes between experimentation, limited use and operational deployment.
The audience depends on the question. A study may require CIOs, CISOs, IT decision-makers, developers, business executives, employees, customers or consumers. CITE defines qualification criteria before recruitment begins.
Consumer studies commonly include 1,000 or more respondents. Specialized B2B AI studies may include approximately 200–500 qualified professionals. The appropriate sample depends on the audience, markets and subgroup comparisons required.
Yes. CITE conducts multinational research and can compare AI adoption, trust, governance, investment and buyer attitudes across countries and regions.
Yes. CITE can design AI surveys that produce credible findings for reports, press releases, media outreach, executive content, webinars and conference presentations.
AI can assist with questionnaire development, data processing and early-stage analysis. It does not replace professional decisions about research design, audience quality, neutral questioning, statistical interpretation and the context behind the results.
Explore related expertise
CITE Research can design a custom study around your market, audience and business objectives—from adoption and buyer research to thought leadership and competitive positioning.