Hybrid Conferencee

International Conference on Market Forecasting through Data Analytics (ICMFDA - 26)

30th - 31st December 2026 | Geneva, Switzerland

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Geneva conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Geneva, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Geneva."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Predictive Modeling Techniques in Market Forecasting

This track focuses on advanced predictive modeling techniques utilized in market forecasting. Participants will explore various statistical and machine learning methods that enhance the accuracy of market predictions.

Track 02

Consumer Behavior Analysis through Data Analytics

This session examines the role of data analytics in understanding consumer behavior and trends. Researchers will present findings on how data-driven insights can inform marketing strategies and improve customer engagement.

Track 03

E-commerce Trends and Market Dynamics

This track delves into the evolving landscape of e-commerce and its impact on market dynamics. Discussions will center on data analytics applications that help businesses adapt to changing consumer preferences in the digital marketplace.

Track 04

Time Series Analysis for Demand Forecasting

This session highlights the importance of time series analysis in accurately forecasting demand across various sectors. Experts will share methodologies and case studies demonstrating effective time series techniques.

Track 05

Econometric Models in Business Forecasting

This track focuses on the application of econometric models in business forecasting. Participants will explore how these models can be leveraged to analyze economic indicators and predict market movements.

Track 06

Market Simulation and Predictive Tools

This session investigates the use of market simulation and predictive tools in strategic decision-making. Researchers will discuss innovative approaches to simulate market conditions and evaluate potential outcomes.

Track 07

AI and Machine Learning in Market Prediction

This track explores the integration of artificial intelligence and machine learning in market prediction. Presentations will cover cutting-edge algorithms and their applications in enhancing forecasting accuracy.

Track 08

Retail Forecasting: Strategies and Insights

This session focuses on retail forecasting strategies that leverage data analytics for improved inventory management and sales predictions. Experts will share insights on aligning forecasting practices with consumer demand.

Track 09

Future Market Trends: An Analytical Approach

This track aims to identify and analyze future market trends using data analytics. Participants will discuss methodologies for anticipating shifts in consumer behavior and market conditions.

Track 10

Statistical Modeling for Market Analysis

This session emphasizes the role of statistical modeling in market analysis and forecasting. Researchers will present various statistical techniques that provide valuable insights into market trends.

Track 11

Integrating Data Analytics in Marketing Strategies

This track examines how businesses can integrate data analytics into their marketing strategies for enhanced effectiveness. Discussions will focus on the impact of data-driven decisions on marketing outcomes.