Artificial Intelligence in Retail Market Size, Share & Growth Report by 2033

Research Methodology – Artificial Intelligence in Retail Market

At Straits Research, we adopt a rigorous 360° research approach that integrates both primary and secondary research methodologies. This ensures accuracy, reliability, and actionable insights for stakeholders. Our methodology for the Artificial Intelligence in Retail Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Artificial Intelligence in Retail Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share

Adoption rate of AI technology in retail businesses.
Annual spending on AI by retail companies.
Number of retail businesses integrating AI technology.
Changes in market value over the years.
Geographical spread of AI in retail market.
Future growth prospects and potential market expansion.
Growth rate of AI in retail market compared to other sectors.

Key Market Indicators

Value of AI in retail market.
Growth rate of AI in retail.
Market share by region.
Market share by specific application of AI in retail (such as customer service, inventory management, etc).
Market share by company.
Market trends and consumer behavior in regard to AI in retail.
Competitive landscape and key players in the market.

Growth Trends

Increase in the number of retail businesses adopting AI technology.
Rising investment in AI technology by retail companies.
Increasing application of AI in various aspects of retail, such as customer service, logistics, and stock control.
Emergence of AI-powered retail platforms and solutions.
Increasing consumer preference for AI-enabled retail services.
Technological advancements in AI and machine learning technology in retail.

Secondary Research

Our secondary research forms the foundation of market understanding and scope definition. We collect and analyze information from multiple reliable sources to map the overall ecosystem of the Artificial Intelligence in Retail Market. Key inputs include:

Company-Level Information

Annual reports, investor presentations, SEC filings
Company press releases and product launch announcements
Public executive interviews and earnings calls
Strategy briefings and M&A updates

Industry and Government Sources

Country-level industry associations and trade bodies
Government dossiers, policy frameworks, and official releases
Whitepapers, working papers, and public R&D initiatives
Relevant Associations for the Artificial Intelligence in Retail Market

Market Intelligence Sources

Broker reports and financial analyst coverage
Paid databases (Hoovers, Factiva, Refinitiv, Reuters, Statista, etc.)
Import/export trade data and tariff databases
Sector-specific journals, magazines, and news portals

Macro & Consumer Insights

Global macroeconomic indicators and their cascading effect on the industry
Demand–supply outlook and value chain analysis
Consumer behaviour, adoption rates, and commercialization trends

Primary Research

To validate and enrich our secondary findings, we conduct extensive primary research with industry stakeholders across the value chain. This ensures we capture both qualitative insights and quantitative validation. Our primary research includes:

Expert Insights & KOL Engagements

Key Opinion Leader (KOL) Engagements
Structured interviews with executives, product managers, and domain experts
Paid and barter-based interviews across manufacturers, distributors, and end-users

Focused Discussions & Panels

Discussions with stakeholders to validate demand-supply gaps
Group discussions on emerging technologies, regulatory shifts, and adoption barriers

Data Validation & Business POV

Cross-verification of market sizing and forecasts with industry insiders
Capturing business perspectives on growth opportunities and restraints

Data Triangulation & Forecasting

The final step of our research involves data triangulation ensuring accuracy through cross-verification of:

Demand-side analysis (consumption patterns, adoption trends, customer spending)
Supply-side analysis (production, capacity, distribution, and market availability)
Macroeconomic & microeconomic impact factors

Forecasting is carried out using proprietary models that combine: