Predictive Analytics in Retail Market

Global Predictive Analytics in Retail Market Size, Trends & Analysis - Forecasts to 2027 By Component (Services, Software/Hardware), By Technology (Data Mining, Predictive Modeling, Machine Learning), By Application (Behavior Analytics, Customized Recommendation, Spatial Analytics, Pricing & Inventory Analytics, Customer Engagement, Foot Traffic Analysis, and Others), By Region (North America, Asia Pacific, Central & South America, Europe, and the Middle East & Africa), End-User Landscape Analysis, Company Market Share Analysis, and Competitor Analysis

Category Trending Technology

Format

This report was recently updated on April 18 2024 with the latest and most recent market numbers

Global Predictive Analytics in Retail Market Size

The Global Predictive Analytics in Retail Market is projected to grow at a CAGR value of 23.5% from 2022 to 2027.

The adoption of advanced analytics and Big Data analysis in the retail industry is causing a dramatic revolution for consumers and manufacturers/suppliers. With the rise of e-commerce and online shopping and increased competition for client loyalty, merchants are turning to Big Data analytics to remain ahead of the competition. Predictive analytics uses statistical modeling, historical data, machine learning and data mining techniques, and gives results related to forecast of pricing, product sales and revenue estimation, consumer behavior analysis and end-user gap analysis. This technique is used by retailers and manufacturers to uncover trends in data and find possible opportunities to grow.

Using predictive retail analytics, retailers and merchants can use historical data to develop futuristic insights. They can foresee trends, know industry activity, predict client behavior, and much more for the coming year, quarter, or even the following day.

Hence, the market for predictive analytics in the retail industry is expected to rise rapidly owing to the increasing adoption of AI and ML for product launch strategies, increasing awareness of the cost benefits of using cloud-based predictive tools, and growing demand for real-time analytical methods to track and monitor consumer behavior and consumer purchase history, especially on the online platforms.

Furthermore, the rising need for data-driven adaptive supply chain management, increasing demand for data on online and in-store consumer experience, and flourishing retail industry in growing or developing countries are some of the other key drivers of the market.

global predictive analytics in retail market

COVID-19 Impact on Global Predictive Analytics in Retail Market

COVID-19 has had a detrimental influence on retail business (especially offline), and has already had a significant impact on how people live and work during the worldwide lockdown. However, the post pandemic scenario seems to have be a different situation for the retail-tech industry. To monetize retailers existing product line and accelerate revenue streams, retailers have started adopting and using predictive analytical tools to gather in-depth understanding about consumer psychology and purchasing behaviours.

Retailers have been adopting predictive analytics software and have successfully used troves of data for sound decision-making strategies. The high demand for predictive analytics in the retail industry will support the market's growth during the forecast period of 2022-2027.

Ukraine-Russia War Impact on Retail Industry

The conflict between Russia and Ukraine will significantly impact the demand for the predictive analytics market for the retail industry. The impact of the war will also be predicted on the entire European region's retail industry, considering the larger share of Russia's retail revenue than other countries.

Retailers in Ukraine will be impacted by supply and operational expenses and the overall impact on demand on the supply side. Although big multinational retailers retain only a 6-7% market share in Russia and Ukraine, some are significant participants, such as Auchan and Inditex. While Ukraine is a minor market for both, Russia is one of their most important, so that trading disruptions can have a substantial impact. The impact on the retail industry will be on similar grounds for the predictive analytics software domain too.

Global Predictive Analytics in Retail Market: By Component

The software/hardware segment will bag the largest share in the market. The rising demand for analyzing consumer behavior, increasing need for real-time data management for product commercialization, and rising awareness regarding advantages of predictive analysis such as shopper-level analytics, transaction-level analytics, on-shelf analytics, location analytics, and multichannel analytics are some of the key factors driving the growth of the software/hardware segment in the market.

The services segment is expected to grow at a faster rate as compared to the latter one. Services are an essential part of installing a predictive analytics solution, and a surge in personalized consumer needs is predicted to increase the demand for professional services. Customers/users request customizations to exist predictive analytics solutions to improve overall performance. Thus these factors are the prime reason for the segment's growth in the market.

Global Predictive Analytics in Retail Market: By Technology

Machine learning is expected to have the largest share in the market during the forecast period of 2022-2027. With the rising adoption of ML in the retail industry, supply chains have been streamlined, various digital products and services have been launched, and the whole consumer experience has been revolutionized. Various retail-tech organizations are investing in ML to develop AI platforms. AI techniques such as machine learning are gaining substantial momentum in the retail market due to rapid progress and awareness.

The predictive Modeling segment is expected to grow faster than other technologies in the market. Some of the primary factors driving the segment's growth are an increase in the implementation of predictive modeling tools, a spike in government spending for Big Data supporting projects, and an increase in the deployment of Big Data technology.

Global Predictive Analytics in Retail Market: By Application

Behavior Analytics is expected to have the largest share in the market during the forecast period of 2022-2027. Behavior analytics provides insight into people's behaviors, most commonly involving online retail purchases. The use of cloud-based behavior analytics solutions and improved security measures in behavior analytics are the primary factors driving the segment's growth. Furthermore, the demand for threat prevention technologies and real-time analytics is another driving factor for the segment's growth.

The pricing & inventory analytics segment is expected to grow the fastest during 2022-2027. Price analysis is a real-time assessment of pricing/ average selling price for specific items and services in a particular retail space. This type of research is frequently done as part of a more extensive business analysis and is used to examine whether or not a company's pricing strategy is viable. The rising need for product expansion, increasing consumer demand for low-cost retail purchases at both national and international levels, and increasing cross-border marketing and acquisition of goods and services are some of the drivers of the segment.

asia pacific predictive analytics in retail market

Global Predictive Analytics in Retail Market: By Region

North America (the United States, Canada, and Mexico) will dominate the Predictive Analytics in the Retail market from 2022 to 2027. Because of the existence of significant competitors, the market in North America is expected to dominate. Furthermore, the country's strong internet penetration rate and many mobile phone and application users are expected to contribute significantly to the region's market share.

The United States is expected to have the lion's share in the North American Predictive Analytics in the Retail market. Compared to other countries, the U.S. is predicted to have the highest adoption of predictive analytics solutions. This is mainly due to several top retail companies/firms in the U.S. prioritizing R&D and diverse technology concentration.

Moreover, the Asia-Pacific region is expected to be the fastest-growing Predictive Analytics in the Retail market segment during the forecast period. Rapidly increasing population, increasing penetration of technology in the retail industry for consumer behavior analysis, and increasing need for pricing modulation are some of the factors leading to the segment's growth.

China is expected to hold the largest share in the Asia Pacific Predictive Analytics, the Retail market. China is one of the top countries contributing to the Asian retail industry and ought to be one of the largest markets for predictive analytics technology to penetrate.

Global Predictive Analytics in Retail Market Share and Competitor Analysis

Dor, True Fit, Orbit Insight, Cuebiq, Rubikloud, Radius Network, Wasteless, Mappedin, Exchange Solutions, Sensing Feeling, Sightcorp, Blesh, Edited, Vend, Datapine, Carto, RetailNext, eSite Analytics, Buxton, Sensormatic IQ, SiteZeus, Tango Analytics, Reonomy among others, are some of the critical players in the predictive analytics in the retail market.

Please note: This is not an exhaustive list of companies profiled in the report.

The global predictive analytics in the retail market has observed several strategic alliances between key players to launch new products with added functionalities and maintain revenue share & profitability. Organic and inorganic growth strategies adopted by small players have been the highlight of this market.

Chapter 1 Research Methodology

1.1 Research Assumptions

1.2 Research Methodology

1.2.1 Estimates and Forecast Timeline

1.3 Information Procurement

1.3.1 Purchased Database

1.3.2 GME’s Internal Database

1.3.3 Primary Research

1.3.4 Secondary Sources & Third-Party Perspectives

1.3.4.1 Company Information Sources

1.3.4.2 Secondary Data Sources

1.4 Information or Data Analysis

1.4.1 Data Analysis Models

1.5 Market Formulation & Data Visualization

1.6 Data Validation & Publishing

1.7 Market Model

1.7.1 Model Details

1.7.1.1 Top-Down Approach

1.7.1.2 Bottom-Up Approach

1.8 Market Segmentation & Scope

1.9 Market Definition

Chapter 2 Executive Summary

2.1. Global Market Outlook

2.2 Component Outlook

2.3 Technology Outlook

2.4 Application Outlook

2.5 Regional Outlook

Chapter 3 Global Predictive Analytics in Retail Market Trend Analysis

3.1. Market Introduction

3.2 Penetration & Growth Prospect Mapping

3.3 Impact of COVID-19 on the Predictive Analytics in Retail Market

3.4 Metric Data on Retail-Tech Industry

3.5 Market Dynamic Analysis

3.5.1 Market Driver Analysis

3.5.2 Market Restraint Analysis

3.5.3 Industry Challenges

3.5.4 Industry Opportunities

3.6 Porter’s Five Analysis

3.6.1 Supplier Power

3.6.2 Buyer Power

3.6.3 Substitution Threat

3.6.4 Threat from New Entrant

3.7 Market Entry Strategies

Chapter 4 Predictive Analytics in Retail Market: Component Trend Analysis

4.1 Component: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

4.2 Software/Hardware

4.2.1 Market Estimates & Forecast Analysis of Software/Hardware Segment, By Region, 2019-2027 (USD Billion)

4.3 Services

4.3.1 Market Estimates & Forecast Analysis of Services Segment, By Region, 2019-2027 (USD Billion)

Chapter 5 Predictive Analytics in Retail Market: Technology Trend Analysis

5.1 Technology: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

5.2 Data Mining

5.2.1 Market Estimates & Forecast Analysis of Data Mining Segment, By Region, 2019-2027 (USD Billion)

5.3 Predictive Modeling

5.3.1 Market Estimates & Forecast Analysis of Predictive Modeling Segment, By Region, 2019-2027 (USD Billion)

5.4 Machine Learning

5.4.1 Market Estimates & Forecast Analysis of Machine Learning Segment, By Region, 2019-2027 (USD Billion)

Chapter 6 Predictive Analytics in Retail Market: Application Trend Analysis

6.1 Application: Historic Data vs. Forecast Data Analysis, 2021 vs. 2027

6.2 Behavior Analytics

6.2.1 Market Estimates & Forecast Analysis of Behavior Analytics Application Segment, By Region, 2019-2027 (USD Billion)

6.3 Customized Recommendation

6.3.1 Market Estimates & Forecast Analysis of Customized Recommendation Application Segment, By Region, 2019-2027 (USD Billion)

6.4 Spatial Analytics

6.4.1 Market Estimates & Forecast Analysis of Spatial Analytics Application Segment, By Region, 2019-2027 (USD Billion)

6.5 Pricing & Inventory Analytics

6.5.1 Market Estimates & Forecast Analysis of Pricing & Inventory Analytics Application Segment, By Region, 2019-2027 (USD Billion)

6.6 Customer Engagement

6.6.1 Market Estimates & Forecast Analysis of Customer Engagement Application Segment, By Region, 2019-2027 (USD Billion)

6.7 Foot Traffic Analysis

6.7.1 Market Estimates & Forecast Analysis of Foot Traffic Analysis Application Segment, By Region, 2019-2027 (USD Billion)

6.8 Others

6.8.1 Market Estimates & Forecast Analysis of Other Application Segment, By Region, 2019-2027 (USD Billion)

Chapter 7 Predictive Analytics in Retail Market, By Region

7.1 Regional Outlook

7.2 North America

7.2.1 Market Estimates & Forecast Analysis, By Country 2019-2027 (USD Billion)

7.2.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.2.3 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.4 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.5 U.S.

7.2.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.2.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.2.6 Canada

7.2.6.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.2.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.2.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.7 Mexico

7.5.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3 Europe

7.3.1 Market Estimates & Forecast Analysis, By Country 2019-2027 (USD Billion)

7.3.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.3 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.4 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.5 Germany

7.3.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.6 UK

7.3.6.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.7 France

7.3.7.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.7.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.7.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.8 Russia

7.3.8.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.8.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.8.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.9 Italy

7.3.9.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.9.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.9.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.10 Spain

7.3.10.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.10.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.10.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.11 Rest of Europe

7.3.11.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.11.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.11.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4 Asia Pacific

7.4.1 Market Estimates & Forecast Analysis, By Country 2019-2027 (USD Billion)

7.4.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.3 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.4 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.5 China

7.4.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.6 India

7.4.6.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.7 Japan

7.4.7.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.7.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.7.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.8 Australia

7.4.8.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.8.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.8.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.4.9 South Korea

7.4.9.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.4.9.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.4.9.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.3.10 Rest of Asia Pacific

7.3.10.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.3.10.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.3.10.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5 Central & South America

7.5.1 Market Estimates & Forecast Analysis, By Country 2019-2027 (USD Billion)

7.5.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.3 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.4 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.5 Brazil

7.5.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.6 Rest of Central & South America

7.5.6.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6 Middle East & Africa

7.6.1 Market Estimates & Forecast Analysis, By Country 2019-2027 (USD Billion)

7.6.2 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.3 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.4 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.5 Saudi Arabia

7.6.5.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.5.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.5.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.6 United Arab Emirates

7.6.6.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.6.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.6.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.6.7 South Africa

7.6.7.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.6.7.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.6.7.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

7.5.8 Rest of Middle East & Africa

7.5.8.1 Market Estimates & Forecast Analysis, By Component, 2019-2027 (USD Billion)

7.5.8.2 Market Estimates & Forecast Analysis, By Technology, 2019-2027 (USD Billion)

7.5.8.3 Market Estimates & Forecast Analysis, By Application, 2019-2027 (USD Billion)

Chapter 8 Competitive Analysis

8.1 Key Global Players, Recent Developments & their Impact on the Industry

8.2 Four Quadrant Competitor Positioning Matrix

8.2.1 Key Innovators

8.2.2 Market Leaders

8.2.3 Emerging Players

8.2.4 Market Challengers

8.3 Vendor Landscape Analysis

8.4 End-User Landscape Analysis

8.5 Company Market Share Analysis, 2021

Chapter 9 Company Profile Analysis

9.1 Dor

9.1.1 Company Overview

9.1.2 Financial Analysis

9.1.3 Strategic Initiatives

9.1.4 Product Benchmarking

9.2 True Fit

9.2.1 Company Overview

9.2.2 Financial Analysis

9.2.3 Strategic Initiatives

9.2.4 Product Benchmarking

9.3 Orbit Insight

9.3.1 Company Overview

9.3.2 Financial Analysis

9.3.3 Strategic Initiatives

9.3.4 Product Benchmarking

9.4 Cuebiq

9.4.1 Company Overview

9.4.2 Financial Analysis

9.4.3 Strategic Initiatives

9.4.4 Product Benchmarking

9.5 Rubikloud

9.5.1 Company Overview

9.5.2 Financial Analysis

9.5.3 Strategic Initiatives

9.5.4 Product Benchmarking

9.6 Radius Network

9.6.1 Company Overview

9.6.2 Financial Analysis

9.6.3 Strategic Initiatives

9.6.4 Product Benchmarking

9.7 Wasteless

9.7.1 Company Overview

9.7.2 Financial Analysis

9.7.3 Strategic Initiatives

9.7.4 Product Benchmarking

9.8 Mappedin

9.8.1 Company Overview

9.8.2 Financial Analysis

9.8.3 Strategic Initiatives

9.8.4 Product Benchmarking

9.9 Exchange Solutions

9.9.1 Company Overview

9.9.2 Financial Analysis

9.9.3 Strategic Initiatives

9.9.4 Product Benchmarking

9.10 Other Companies

9.10.1 Company Overview

9.10.2 Financial Analysis

9.10.3 Strategic Initiatives

9.10.4 Product Benchmarking

List of Tables

1 Technological Advancements In Predictive Analytics in Retail Market

2 Global Predictive Analytics in Retail Market: Key Market Drivers

3 Global Predictive Analytics in Retail Market: Key Market Challenges

4 Global Predictive Analytics in Retail Market: Key Market Opportunities

5 Global Predictive Analytics in Retail Market: Key Market Restraints

6 Global Predictive Analytics in Retail Market Estimates & Forecast Analysis, 2019-2027 (USD Billion)

7 Global Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

8 Software/Hardware: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

9 Services: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

10 Global Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

11 Data Mining: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

12 Predictive Modeling: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

13 Machine Learning: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

14 Global Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

15 Customized Recommendation: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

16 Behavior Analytics: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

17 Spatial Analytics: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

18 Pricing & Inventory Analytics: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

19 Customer Engagement: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

20 Foot Traffic Analysis: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

21 Others: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

22 Regional Analysis: Global Predictive Analytics in Retail Market, By Region, 2019-2027 (USD Billion)

23 North America: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

24 North America: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

25 North America: Predictive Analytics in Retail Market, By Application , 2019-2027 (USD Billion)

26 North America: Predictive Analytics in Retail Market, By Country, 2019-2027 (USD Billion)

27 U.S: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

28 U.S: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

29 U.S: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

30 Canada: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

31 Canada: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

32 Canada: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

33 Mexico: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

34 Mexico: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

35 Mexico: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

36 Europe: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

37 Europe: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

38 Europe: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

39 Europe: Predictive Analytics in Retail Market, By Country, 2019-2027 (USD Billion)

40 Germany: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

41 Germany: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

42 Germany: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

43 UK: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

44 UK: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

45 UK: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

46 France: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

47 France: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

48 France: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

49 Italy: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

50 Italy: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

51 Italy: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

52 Spain: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

53 Spain: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

54 Spain: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

55 Rest Of Europe: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

56 Rest Of Europe: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

57 Rest Of Europe: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

58 Asia Pacific: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

59 Asia Pacific: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

60 Asia Pacific: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

61 Asia Pacific: Predictive Analytics in Retail Market, By Country, 2019-2027 (USD Billion)

62 China: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

63 China: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

64 China: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

65 India: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

66 India: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

67 India: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

68 Japan: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

69 Japan: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

70 Japan: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

71 South Korea: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

72 South Korea: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

73 South Korea: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

74 Middle East & Africa: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

75 Middle East & Africa: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

76 Middle East & Africa: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

77 Middle East & Africa: Predictive Analytics in Retail Market, By Country, 2019-2027 (USD Billion)

78 Saudi Arabia: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

79 Saudi Arabia: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

80 Saudi Arabia: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

81 UAE: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

82 UAE: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

83 UAE: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

84 Central & South America: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

85 Central & South America: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

86 Central & South America: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

87 Central & South America: Predictive Analytics in Retail Market, By Country, 2019-2027 (USD Billion)

88 Brazil: Predictive Analytics in Retail Market, By Component, 2019-2027 (USD Billion)

89 Brazil: Predictive Analytics in Retail Market, By Technology, 2019-2027 (USD Billion)

90 Brazil: Predictive Analytics in Retail Market, By Application, 2019-2027 (USD Billion)

91 Dor: Products Offered

92 True Fit: Products Offered

93 Orbit Insight: Products Offered

94 Cuebiq: Products Offered

95 Radius Network: Products Offered

96 Wasteless: Products Offered

97 Mappedin: Products Offered

98 Exchange Solutions: Products Offered

99 Sensing Feeling: Products Offered

100 Other Companies: Products Offered

List of Figures

1. Global Predictive Analytics in Retail Market Segmentation & Research Scope

2. Primary Research Partners and Local Informers

3. Primary Research Process

4. Primary Research Approaches

5. Primary Research Responses

6. Global Predictive Analytics in Retail Market: Penetration & Growth Prospect Mapping

7. Global Predictive Analytics in Retail Market: Value Chain Analysis

8. Global Predictive Analytics in Retail Market Drivers

9. Global Predictive Analytics in Retail Market Restraints

10. Global Predictive Analytics in Retail Market Opportunities

11. Global Predictive Analytics in Retail Market Challenges

12. Key Predictive Analytics in Retail Market Manufacturer Analysis

13. Global Predictive Analytics in Retail Market: Porter’s Five Forces Analysis

14. PESTLE Analysis & Impact Analysis

15. Dor: Company Snapshot

16. Dor: SWOT Analysis

17. True Fit: Company Snapshot

18. True Fit: SWOT Analysis

19. Orbit Insight: Company Snapshot

20. Orbit Insight: SWOT Analysis

21. Cuebiq: Company Snapshot

22. Cuebiq: SWOT Analysis

23. Radius Network: Company Snapshot

24. Radius Network: SWOT Analysis

25. Wasteless: Company Snapshot

26. Wasteless: SWOT Analysis

27. Mappedin: Company Snapshot

28. Mappedin: SWOT Analysis

29. Exchange Solutions: Company Snapshot

30. Exchange Solutions: SWOT Analysis

31. Rubikloud: Company Snapshot

32. Rubikloud: SWOT Analysis

33. Other Companies: Company Snapshot

34. Other Companies: SWOT Analysis

The Global Predictive Analytics in Retail Market has been studied from the year 2019 till 2027. However, the CAGR provided in the report is from the year 2022 to 2027. The research methodology involved three stages: Desk research, Primary research, and Analysis & Output from the entire research process.

The desk research involved a robust background study which meant referring to paid and unpaid databases to understand the market dynamics; mapping contracts from press releases; identifying the key players in the market, studying their product portfolio, competition level, annual reports/SEC filings & investor presentations; and learning the demand and supply-side analysis for the Predictive Analytics in Retail Market.

The primary research activity included telephonic conversations with more than 50 tier 1 industry consultants, distributors, and end-use product manufacturers.

Finally, based on the above thorough research process, an in-depth analysis was carried out considering the following aspects: market attractiveness, current & future market trends, market share analysis, SWOT analysis of the company and customer analytics.

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Frequently Asked Questions

What is the projected market size of the global predictive analytics in the retail market?

The global predictive analytics in the retail market is projected to grow at a CAGR of 23.5% from 2022 to 2027.

Who are the major vendors in the predictive analytics in the retail market?

Dor, True Fit, Orbit Insight, Cuebiq, Rubikloud, Radius Network, Wasteless, Mappedin, Exchange Solutions, Sensing Feeling, Sightcorp, Blesh, Edited, Vend, Datapine, Carto, RetailNext, eSite Analytics, Buxton, Sensormatic IQ, SiteZeus, Tango Analytics, Reonomy among others, are the some of the critical players in the predictive analytics in the retail market.

What is the Covid-19 impact on future predictive analytics in the retail providers?

What are the major drivers in the predictive analytics in the retail market?

The major drivers of the predictive analytics in the retail market include the growing demand for data-driven adaptive supply chain management, increased demand for data on online and in-store consumer experience, and a thriving retail business in emerging or developing countries.

What is the impact of the Ukraine-Russia war on the retail sector?

The conflict between Russia and Ukraine will significantly impact the demand for the predictive analytics market for the retail industry. The impact of the war will also be predicted on the entire European regions retail industry, considering the larger share of Russias retail revenue than other countries.