Internal data includes corporate sales data, market share data, customer feedback, etc., which can be obtained through corporate internal systems and research methods.

External data includes industry reports, market research data, economic indicators, etc., which can be obtained by subscribing to commercial databases, cooperating with research institutions, etc.

Clean, denoise and filter the collected data to ensure the accuracy and reliability of the data.

Organize and classify the cleaned data to make it easy for analysis and modeling.

Statistical analysis methods: Use statistical methods to analyze data, including descriptive statistics, correlation analysis, regression analysis, etc.

Machine learning methods: Use machine learning algorithms to perform pattern recognition and prediction on data, including decision trees, neural networks, support vector machines, etc.

Time series analysis method: analyze and predict time series data, including trend analysis, seasonal analysis, cycle analysis, etc.

Use historical data for trend analysis to identify long-term trends and cyclical changes in the market.

Make predictions based on historical trends and infer the direction and speed of future market development.

Conduct market research to understand the needs, behaviors and attitudes of market participants, and grasp market dynamics and trends.

Based on market research results, predict possible changes and development trends of the market under different scenarios.

Ask experts in relevant fields to make predictions and make judgments based on their knowledge and experience.

Through expert opinions and views, various factors are comprehensively considered to predict the future direction of the market.

Market size refers to quantitative indicators such as total sales and total output of the market within a certain period of time.

Market size reflects the overall size and potential of the market and has an important impact on corporate strategies and decisions.

Top-down approach: Calculate market size through indicators such as macroeconomic data and market share.

Bottom-up method: by estimating the demand of market segments, and then summarizing the market sizes of each segment to obtain the overall market size.

Macroeconomic factors: such as gross domestic product, population growth rate, etc.

Industry development trends: such as technological innovation, industrial policy, etc.

Market competition status: such as market share, product substitutability, etc.

Market demand refers to consumer demand and demand trends for a certain product or service.

Market demand is an important basis for enterprises to formulate product positioning and develop market strategies.

Historical data method: By analyzing historical sales data, we can predict the trend and scale of future market demand.

Panel survey method: Obtain feedback and opinions on product needs through surveys of specific groups of respondents.

Market diffusion model method: predict future market demand by analyzing indicators such as market penetration rate and product substitution rate.

Consumer behavior and attitudes: such as consumption habits, purchasing power, etc.

Market competition conditions: such as product differentiation, price competition, etc.

Socioeconomic environment: such as population structure, income distribution, etc.

Market trend analysis is the process of analyzing and predicting long-term trends and cyclical changes in market operations.

Market trend analysis can help companies understand the development direction and changing trends of the market and provide a reference for decision-making.

Trend chart analysis: By drawing trend charts, observe the changing trends and cyclical fluctuations of market indicators.

Indicator analysis method: Use statistical methods to calculate the growth rate, correlation coefficient, etc. of market indicators to reveal the characteristics of the trend.

Multiple Regression Analysis: Perform regression analysis using multiple variables to explore the driving factors associated with market trends.

Market risk assessment is the assessment and prediction of market uncertainties and risks, helping companies identify potential risks and countermeasures.

Market risk assessment can improve an enterprise's risk management capabilities, reduce operating risks, and protect corporate interests.

Historical data method: Identify the probability of occurrence and degree of impact of market risks by analyzing historical market data.

Scenario analysis method: Evaluate the possibility and consequences of risks based on different market scenarios and assumptions.

Expert judgment method: Ask relevant experts to evaluate market risks and make predictions based on their knowledge and experience.

External environmental risks: such as policy changes, economic cycles, etc.

Competition risks: such as competition for market share, threats from new entrants, etc.

Product risks: such as product quality problems, technological changes, etc.

Risk Aversion