Which application segment occupied the largest market share in Big Data Analytics in Retail Market?

The merchandising and supply chain analytics segment occupied largest market share in the market primarily due to use of big data analysis for numerous applications including tracking and tracing product flow in real-time, better accuracy in predicting customer buying patterns, and managing supply chain and product distribution.

Which business type segment anticipated to grow significantly during the forecast period in Big Data Analytics in Retail Market?

The small and medium enterprise segment is anticipated to grow significantly during the forecast period primarily due to the growing number of small and medium sized business organizations throughout the world, increased volume of data and customer interactions, and increasing demand for forecasting trends and making strategic decisions based on market data analysis.

Which region accounts for major share in the Big Data Analytics in Retail Market over the forecast period?

North America is expected to account for a major market share over the forecast period. This can be attributed to the presence of several prominent big data analytics vendors, including International Business Machines Corporation, SAS Institute Inc., Alteryx Inc., and MicroStrategy Incorporated among others.

What is the growth rate of Big Data Analytics in Retail Market during forecast period?

The growth rate of the market during the forecast period is 20.1%.

Big Data Analytics in Retail Market Size, Share & Growth Report 2030

Big Data Analytics in Retail Market Size, Share, Trends and Growth Report – Global Opportunities & Forecast, 2023-2030

Report Description Table Of Content Sample Request Request For Customization

1. Executive Summary
1.1. Key Market Insights

2. Introduction
2.1. Study Objectives
2.2. Market Definition
2.2.1. Market Covered
2.2.2. Regional Coverage
2.2.3. Study Years & Currency
2.3. Market Stakeholders
2.4. Key Questions this Study will Answer
2.5. GMI Research’s Approach & Methodology
2.5.1. Research Data
2.5.2. Primary Data
2.5.3. Demand Side and Supply Side Analysis
2.5.4. Market Size Estimation
2.5.5. Research Assumptions

3. Global Big Data Analytics in Retail Market- Overview
3.1. Introduction
3.2. Market Segmentation
3.3. Value Chain Analysis
3.4. Market Drivers
3.5. Market Restraints
3.6. Market Trends

4. Global Big Data Analytics in Retail Market Revenue Forecast till 2030

5. Global Big Data Analytics in Retail Market by Application Revenue Forecast till 2030
5.1. Merchandising and Supply Chain Analytics
5.2. Social Media Analytics
5.3. Customer Analytics
5.4. Operational Intelligence
5.5. Others

6. Global Big Data Analytics in Retail Market by Business Type Revenue Forecast till 2030
6.1. Small and Medium Enterprises
6.2. Large-Scale Organizations

7. Global Big Data Analytics in Retail Market by Region Forecast till 2030
7.1. North America Big Data Analytics in Retail Market Revenue Forecast till 2030
(Option 1: As a part of the free 25% customization)
7.1.1. North America Big Data Analytics in Retail Market by Application
7.1.1.1. Merchandising and Supply Chain Analytics
7.1.1.2. Social Media Analytics
7.1.1.3. Customer Analytics
7.1.1.4. Operational Intelligence
7.1.1.5. Others
7.1.2. North America Big Data Analytics in Retail Market by Business Type
7.1.2.1. Small and Medium Enterprises
7.1.2.2. Large-Scale Organizations
7.1.3. US Big Data Analytics in Retail Market All-Up
7.1.4. Canada Big Data Analytics in Retail Market All-Up
7.2. Europe Big Data Analytics in Retail Market Revenue Forecast till 2030
(Option 2: As a part of the free 25% customization)
7.2.1. Europe Big Data Analytics in Retail Market by Application
7.2.1.1. Merchandising and Supply Chain Analytics
7.2.1.2. Social Media Analytics
7.2.1.3. Customer Analytics
7.2.1.4. Operational Intelligence
7.2.1.5. Others
7.2.2. Europe Big Data Analytics in Retail Market by Business Type
7.2.2.1. Small and Medium Enterprises
7.2.2.2. Large-Scale Organizations
7.2.3. UK Big Data Analytics in Retail Market All-Up
7.2.4. Germany Big Data Analytics in Retail Market All-Up
7.2.5. France Big Data Analytics in Retail Market All-Up
7.2.6. Spain Big Data Analytics in Retail Market All-Up
7.2.7. Rest of Europe Big Data Analytics in Retail Market All-Up
7.3. Asia-Pacific Big Data Analytics in Retail Market Revenue Forecast till 2030
(Option 3: As a part of the free 25% customization)
7.3.1. Asia-Pacific Big Data Analytics in Retail Market by Application
7.3.1.1. Merchandising and Supply Chain Analytics
7.3.1.2. Social Media Analytics
7.3.1.3. Customer Analytics
7.3.1.4. Operational Intelligence
7.3.1.5. Others
7.3.2. Asia-Pacific Big Data Analytics in Retail Market by Business Type
7.3.2.1. Small and Medium Enterprises
7.3.2.2. Large-Scale Organizations
7.3.3. China Big Data Analytics in Retail Market All-Up
7.3.4. India Big Data Analytics in Retail Market All-Up
7.3.5. Japan Big Data Analytics in Retail Market All-Up
7.3.6. Rest of APAC Big Data Analytics in Retail Market All-Up
7.4. RoW Big Data Analytics in Retail Market Revenue Forecast till 2030
(Option 4: As a part of the free 25% customization)
7.4.1. RoW Big Data Analytics in Retail Market by Application
7.4.1.1. Merchandising and Supply Chain Analytics
7.4.1.2. Social Media Analytics
7.4.1.3. Customer Analytics
7.4.1.4. Operational Intelligence
7.4.1.5. Others
7.4.2. RoW Big Data Analytics in Retail Market by Business Type
7.4.2.1. Small and Medium Enterprises
7.4.2.2. Large-Scale Organizations
7.4.3. Brazil Big Data Analytics in Retail Market All-Up
7.4.4. South Africa Big Data Analytics in Retail Market All-Up
7.4.5. Saudi Arabia Big Data Analytics in Retail Market All-Up
7.4.6. UAE Big Data Analytics in Retail Market All-Up
7.4.7. Rest of world (remaining countries of the LAMEA region) Big Data Analytics in Retail Market All-Up

8. Competitive Landscape Analysis
8.1. Porter’s Five Forces Analysis
8.2. Industry – Competitive Landscape
8.3. Market Presence (Intensity Mapping)
8.4. Key Strategic Market Developments

9. Company Profiles (Option 5: Free 25% Customization - Profiles of 5 Additional Companies of your Choice)
9.1. Oracle Corporation
9.1.1. Company Overview
9.1.2. Key Executives
9.1.3. Footprint & Employee Strength
9.1.4. Product Offerings
9.1.5. Financials
9.1.6. Key Company Developments
9.2. International Business Machines Corporation
9.2.1. Company Overview
9.2.2. Key Executives
9.2.3. Footprint & Employee Strength
9.2.4. Product Offerings
9.2.5. Financials
9.2.6. Key Company Developments
9.3. Tableau Software LLC
9.3.1. Company Overview
9.3.2. Key Executives
9.3.3. Footprint & Employee Strength
9.3.4. Product Offerings
9.3.5. Financials
9.3.6. Key Company Developments
9.4. QlikTech International AB
9.4.1. Company Overview
9.4.2. Key Executives
9.4.3. Footprint & Employee Strength
9.4.4. Product Offerings
9.4.5. Financials
9.4.6. Key Company Developments
9.5. SAP SE
9.5.1. Company Overview
9.5.2. Key Executives
9.5.3. Footprint & Employee Strength
9.5.4. Product Offerings
9.5.5. Financials
9.5.6. Key Company Developments
9.6. Salesforce.com, Inc.
9.6.1. Company Overview
9.6.2. Key Executives
9.6.3. Footprint & Employee Strength
9.6.4. Product Offerings
9.6.5. Financials
9.6.6. Key Company Developments
9.7. Microsoft Corporation
9.7.1. Company Overview
9.7.2. Key Executives
9.7.3. Footprint & Employee Strength
9.7.4. Product Offerings
9.7.5. Financials
9.7.6. Key Company Developments
9.8. SAS Institute Inc.
9.8.1. Company Overview
9.8.2. Key Executives
9.8.3. Footprint & Employee Strength
9.8.4. Product Offerings
9.8.5. Financials
9.8.6. Key Company Developments
9.9. Adobe, Inc.
9.9.1. Company Overview
9.9.2. Key Executives
9.9.3. Footprint & Employee Strength
9.9.4. Product Offerings
9.9.5. Financials
9.9.6. Key Company Developments
9.10. Teradata Corporation
9.10.1. Company Overview
9.10.2. Key Executives
9.10.3. Footprint & Employee Strength
9.10.4. Product Offerings
9.10.5. Financials
9.10.6. Key Company Developments