Global Customer Journey Analytics Market Size, Share & Growth by 2031

Research Methodology – Customer Journey Analytics 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 Customer Journey Analytics Market comprises the following key stages:

Market Indicator & Macro-Factor Analysis

Our baseline thesis for the Customer Journey Analytics Market is developed by integrating key market indicators and macroeconomic variables. These include:

Factors considered while calculating market size and share:

Number of direct competitors and their market share.
The number of potential customers that are currently being served in the market.
Changes in customer behavior and preferences.
Effect of global and regional economic phenomena on the market.
Technological advancements and innovation in the industry.
New regulations or legal limitations that could affect the market.
The potential size of the untapped market.

Key Market Indicators:

Growth rate of the industry.
Changes in the demographics and psychographics of the target consumers.
Changes in sales and revenue patterns.
Performance of competitors in terms of market share, sales, and brand recognition.
Changes in marketing and promotional activities.
Trends and patterns in customer feedback and complaints.
Rate of customer churn and retention.

Growth Trends:

Increase in the usage of big data and analytics in understanding customer behavior.
Growth in the adoption of artificial intelligence (AI) and machine learning (ML) to predict and track customer journey.
Increase in demand for personalized and targeted customer experiences.
Growth in the usage of mobile devices and applications for online shopping and other transactions.
Increasing preference of customers for omnichannel experiences.
Emerging trends in microsegmentation and cohort analysis to understand customer behavior.

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 Customer Journey Analytics 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 Customer Journey Analytics 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: