Report Content
Chapter 1 Methodology & Scope
1.1 Scope & definitions
1.2 Methodology and forecast parameters
1.3 COVID-19 impact
1.3.1 North America
1.3.2 Europe
1.3.3 Asia Pacific
1.3.4 Latin America
1.3.5 Middle East & Africa
1.4 Data Sources
1.4.1 Secondary
1.4.2 Primary
1.5 Glossary
Chapter 2 Executive Summary
2.1 Retail analytics industry 360º synopsis, 2018 – 2032
2.2 Business trends
2.2.1 Total addressable market (TAM) trends, 2023 - 2032
2.3 Regional trends
2.4 Function trends
2.5 Solution trends
2.6 Enterprise Size trends
2.7 Deployment Mode trends
2.8 Crowdsourcing trends
Chapter 3 Retail Analytics Industry Insights
3.1 Introduction
3.2 Impact of COVID-19 outbreak
3.2.1 By region
3.2.1.1 North America
3.2.1.2 Europe
3.2.1.3 Asia Pacific
3.2.1.4 Latin America
3.2.1.5 Middle East & Africa
3.2.2 Strategies by major players to regain pre-COVID level growth
3.3 Impact analysis of Russia-Ukraine war
3.4 Retail analytics industry ecosystem analysis
3.4.1 Technology and Platform Providers
3.4.2 Retail IoT Component Suppliers
3.4.3 Marketing & Distribution
3.4.4 Third Party Service Providers
3.4.5 End-users
3.4.6 Profit margin analysis
3.4.7 Vendor matrix
3.5 Technology & innovation landscape
3.5.1 Advanced Analytics
3.5.2 Transactional
3.5.3 Collaborative
3.5.4 Trade Promotion Optimization (TPO)
3.5.5 Optimization & collaboration
3.5.6 Single photon technology
3.6 Patent analysis
3.7 Investment portfolio
3.8 Industry news
3.8.1 North America
3.8.2 Europe
3.8.3 Asia Pacific
3.8.4 Latin America
3.8.5 Middle East & Africa
3.9 Regulatory landscape
3.9.1 International Standards
3.9.2 North America
3.9.3 Europe
3.9.4 Asia Pacific
3.9.5 Latin America
3.9.6 MEA
3.10 Industry impact forces
3.10.1 Growth drivers
3.10.1.1 Growing e-commerce industry in China and India
3.10.1.2 Increasing penetration of big data in the retail industry in the U.S.
3.10.1.3 Growing proliferation of smartphones in Asia Pacific
3.10.1.4 Increasing competition among retailers and increasing need for differentiation in North America
3.10.1.5 New generation of highly informed and demanding customers in Europe
3.10.1.6 Growing need for analytics maturity in Asia Pacific
3.10.1.7 Growing adoption of e-commerce in Latin America
3.10.1.8 Expanding retail sector in Middle East & Africa
3.10.2 Industry pitfalls & challenges
3.10.2.1 Lack of technical expertise
3.10.2.2 Data privacy concerns
3.11 Growth potential analysis
3.12 Porter’s analysis
3.12.1 Bargaining power of suppliers
3.12.2 Bargaining power of buyers
3.12.3 The threat of new entrants
3.12.4 The threat of substitute
3.12.5 Competitive rivalry
3.13 PESTEL analysis
3.13.1 Political
3.13.2 Economic
3.13.3 Social
3.13.4 Technological
3.13.5 Legal
3.13.6 Environmental
Chapter 4 Competitive Landscape, 2022
4.1 Introduction
4.2 Company market share, by revenue, 2022
4.2.1 Competitive analysis of major players, 2022
4.2.1.1 IBM Corporation
4.2.1.2 Microsoft Corporation
4.2.1.3 Salesforce
4.2.1.4 SAP SE
4.2.1.5 SAS Institute
4.2.2 Competitive analysis of market innovators, 2022
4.2.2.1 Google Inc.
4.2.2.2 MicroStrategy Inc.
4.2.2.3 Oracle Corporation
4.2.2.4 QlikTech International AB
4.2.2.5 Teradata Corporation
4.2.3 Vendor adoption matrix
4.2.4 Strategic outlook matrix
Chapter 5 Retail Analytics Market, By Function
5.1 Key trends, by function
5.2 Customer Management
5.2.1 Market estimates and forecast, 2018 – 2032
5.3 Merchandising
5.3.1 Market estimates and forecast, 2018 – 2032
5.4 Store Operations
5.4.1 Market estimates and forecast, 2018 – 2032
5.5 Supply Chain Management
5.5.1 Market estimates and forecast, 2018 – 2032
5.6 Strategy & Planning
5.6.1 Market estimates and forecast, 2018 – 2032
Chapter 6 Retail Analytics Market, By Solution
6.1 Key trends, by solution
6.2 Software
6.2.1 Market estimates and forecast, 2018 – 2032
6.3 Service
6.3.1 Market estimates and forecast, 2018 – 2032
6.3.2 Training & consulting
6.3.2.1 Market estimates and forecast, 2018 – 2032
6.3.3 Integration & deployment
6.3.3.1 Market estimates and forecast, 2018 – 2032
6.3.4 Managed service
6.3.4.1 Market estimates and forecast, 2018 – 2032
Chapter 7 Retail Analytics Market, By Enterprise Size
7.1 Key trends, by enterprise size
7.2 Large enterprises
7.2.1 Market estimates and forecast, 2018 – 2032
7.3 SME
7.3.1 Market estimates and forecast, 2018 – 2032
Chapter 8 Retail Analytics Market, By Deployment Model
8.1 Key trends, by deployment mode
8.2 On-premise
8.2.1 Market estimates and forecast, 2018 – 2032
8.3 Cloud
8.3.1 Market estimates and forecast, 2018 – 2032
Chapter 9 Retail Analytics Market, By Crowdsourcing
9.1 Key trends, by deployment mode
9.2 On-shelf availability
9.2.1 Market estimates and forecast, 2018 – 2032
9.3 Documentation & Reporting
9.3.1 Market estimates and forecast, 2018 – 2032
9.4 Promotion Campaign Management
9.4.1 Market estimates and forecast, 2018 – 2032
9.5 Customer Insights
9.5.1 Market estimates and forecast, 2018 – 2032
Chapter 10 Retail Analytics Market, By Region
10.1 Key trends, by region
10.2 North America
10.2.1 Market estimates and forecast, 2018 – 2032
10.2.2 Market estimates and forecast, by function, 2018 – 2032
10.2.3 Market estimates and forecast, by solution, 2018 – 2032
10.2.3.1 Market estimates and forecast, by service, 2018 – 2032
10.2.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.2.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.2.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.2.7 U.S.
10.2.7.1 Market estimates and forecast, 2018 – 2032
10.2.7.2 Market estimates and forecast, by function, 2018 – 2032
10.2.7.3 Market estimates and forecast, by solution, 2018 – 2032
10.2.7.3.1 Market estimates and forecast, by service, 2018 – 2032
10.2.7.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.2.7.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.2.7.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.2.8 Canada
10.2.8.1 Market estimates and forecast, 2018 – 2032
10.2.8.2 Market estimates and forecast, by function, 2018 – 2032
10.2.8.3 Market estimates and forecast, by solution, 2018 – 2032
10.2.8.3.1 Market estimates and forecast, by service, 2018 – 2032
10.2.8.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.2.8.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.2.8.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3 Europe
10.3.1 Market estimates and forecast, 2018 – 2032
10.3.2 Market estimates and forecast, by function, 2018 – 2032
10.3.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3.7 Germany
10.3.7.1 Market estimates and forecast, 2018 – 2032
10.3.7.2 Market estimates and forecast, by function, 2018 – 2032
10.3.7.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.7.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.7.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.7.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.7.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3.8 UK
10.3.8.1 Market estimates and forecast, 2018 – 2032
10.3.8.2 Market estimates and forecast, by function, 2018 – 2032
10.3.8.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.8.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.8.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.8.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.8.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3.9 France
10.3.9.1 Market estimates and forecast, 2018 – 2032
10.3.9.2 Market estimates and forecast, by function, 2018 – 2032
10.3.9.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.9.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.9.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.9.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.9.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3.10 Italy
10.3.10.1 Market estimates and forecast, 2018 – 2032
10.3.10.2 Market estimates and forecast, by function, 2018 – 2032
10.3.10.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.10.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.10.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.10.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.10.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.3.11 Russia
10.3.11.1 Market estimates and forecast, 2018 – 2032
10.3.11.2 Market estimates and forecast, by function, 2018 – 2032
10.3.11.3 Market estimates and forecast, by solution, 2018 – 2032
10.3.11.3.1 Market estimates and forecast, by service, 2018 – 2032
10.3.11.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.3.11.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.3.11.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4 Asia Pacific
10.4.1 Market estimates and forecast, 2018 – 2032
10.4.2 Market estimates and forecast, by function, 2018 – 2032
10.4.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4.7 China
10.4.7.1 Market estimates and forecast, 2018 – 2032
10.4.7.2 Market estimates and forecast, by function, 2018 – 2032
10.4.7.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.7.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.7.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.7.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.7.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4.8 India
10.4.8.1 Market estimates and forecast, 2018 – 2032
10.4.8.2 Market estimates and forecast, by function, 2018 – 2032
10.4.8.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.8.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.8.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.8.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.8.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4.9 Japan
10.4.9.1 Market estimates and forecast, 2018 – 2032
10.4.9.2 Market estimates and forecast, by function, 2018 – 2032
10.4.9.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.9.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.9.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.9.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.9.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4.10 Australia
10.4.10.1 Market estimates and forecast, 2018 – 2032
10.4.10.2 Market estimates and forecast, by function, 2018 – 2032
10.4.10.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.10.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.10.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.10.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.10.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.4.11 Southeast Asia
10.4.11.1 Market estimates and forecast, 2018 – 2032
10.4.11.2 Market estimates and forecast, by function, 2018 – 2032
10.4.11.3 Market estimates and forecast, by solution, 2018 – 2032
10.4.11.3.1 Market estimates and forecast, by service, 2018 – 2032
10.4.11.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.4.11.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.4.11.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.5 Latin America
10.5.1 Market estimates and forecast, 2018 – 2032
10.5.2 Market estimates and forecast, by function, 2018 – 2032
10.5.3 Market estimates and forecast, by solution, 2018 – 2032
10.5.3.1 Market estimates and forecast, by service, 2018 – 2032
10.5.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.5.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.5.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.5.7 Brazil
10.5.7.1 Market estimates and forecast, 2018 – 2032
10.5.7.2 Market estimates and forecast, by function, 2018 – 2032
10.5.7.3 Market estimates and forecast, by solution, 2018 – 2032
10.5.7.3.1 Market estimates and forecast, by service, 2018 – 2032
10.5.7.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.5.7.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.5.7.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.5.8 Mexico
10.5.8.1 Market estimates and forecast, 2018 – 2032
10.5.8.2 Market estimates and forecast, by function, 2018 – 2032
10.5.8.3 Market estimates and forecast, by solution, 2018 – 2032
10.5.8.3.1 Market estimates and forecast, by service, 2018 – 2032
10.5.8.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.5.8.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.5.8.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.5.9 Argentina
10.5.9.1 Market estimates and forecast, 2018 – 2032
10.5.9.2 Market estimates and forecast, by function, 2018 – 2032
10.5.9.3 Market estimates and forecast, by solution, 2018 – 2032
10.5.9.3.1 Market estimates and forecast, by service, 2018 – 2032
10.5.9.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.5.9.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.5.9.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.6 MEA
10.6.1 Market estimates and forecast, 2018 – 2032
10.6.2 Market estimates and forecast, by function, 2018 – 2032
10.6.3 Market estimates and forecast, by solution, 2018 – 2032
10.6.3.1 Market estimates and forecast, by service, 2018 – 2032
10.6.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.6.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.6.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.6.7 Saudi Arabia
10.6.7.1 Market estimates and forecast, 2018 – 2032
10.6.7.2 Market estimates and forecast, by function, 2018 – 2032
10.6.7.3 Market estimates and forecast, by solution, 2018 – 2032
10.6.7.3.1 Market estimates and forecast, by service, 2018 – 2032
10.6.7.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.6.7.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.6.7.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.6.8 UAE
10.6.8.1 Market estimates and forecast, 2018 – 2032
10.6.8.2 Market estimates and forecast, by function, 2018 – 2032
10.6.8.3 Market estimates and forecast, by solution, 2018 – 2032
10.6.8.3.1 Market estimates and forecast, by service, 2018 – 2032
10.6.8.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.6.8.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.6.8.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
10.6.8.7
10.6.9 South Africa
10.6.9.1 Market estimates and forecast, 2018 – 2032
10.6.9.2 Market estimates and forecast, by function, 2018 – 2032
10.6.9.3 Market estimates and forecast, by solution, 2018 – 2032
10.6.9.3.1 Market estimates and forecast, by service, 2018 – 2032
10.6.9.4 Market estimates and forecast, by enterprise size, 2018 – 2032
10.6.9.5 Market estimates and forecast, by deployment mode, 2018 – 2032
10.6.9.6 Market estimates and forecast, by crowdsourcing, 2018 – 2032
Chapter 11 Company Profiles
11.1 1010data, Inc.
11.1.1 Business Overview
11.1.2 Financial Data
11.1.3 Product Landscape
11.1.4 Strategic Outlook
11.1.5 SWOT Analysis
11.2 Adobe, Inc.
11.2.1 Business Overview
11.2.2 Financial Data
11.2.3 Product Landscape
11.2.4 Strategic Outlook
11.2.5 SWOT Analysis
11.3 Altair Engineering, Inc.
11.3.1 Business Overview
11.3.2 Financial Data
11.3.3 Product Landscape
11.3.4 Strategic Outlook
11.3.5 SWOT Analysis
11.4 Bedrock Analytics Corporation
11.4.1 Business Overview
11.4.2 Financial Data
11.4.3 Product Landscape
11.4.4 Strategic Outlook
11.4.5 SWOT Analysis
11.5 BeMyEye Holdings Ltd.
11.5.1 Business Overview
11.5.2 Financial Data
11.5.3 Product Landscape
11.5.4 Strategic Outlook
11.5.5 SWOT Analysis
11.6 Clickworker GmbH
11.6.1 Business Overview
11.6.2 Financial Data
11.6.3 Product Landscape
11.6.4 Strategic Outlook
11.6.5 SWOT Analysis
11.7 Field Agent Inc.
11.7.1 Business Overview
11.7.2 Financial Data
11.7.3 Product Landscape
11.7.4 Strategic Outlook
11.7.5 SWOT Analysis
11.8 FLIR Systems, Inc. (Teledyne FLIR LLC)
11.8.1 Business Overview
11.8.2 Financial Data
11.8.3 Product Landscape
11.8.4 Strategic Outlook
11.8.5 SWOT Analysis
11.9 HCL Technologies Limited
11.9.1 Business Overview
11.9.2 Financial Data
11.9.3 Product Landscape
11.9.4 Strategic Outlook
11.9.5 SWOT Analysis
11.10 IBM Corporation
11.10.1 Business Overview
11.10.2 Financial Data
11.10.3 Product Landscape
11.10.4 Strategic Outlook
11.10.5 SWOT Analysis
11.11 Information Builders, Inc.
11.11.1 Business Overview
11.11.2 Financial Data
11.11.3 Product Landscape
11.11.4 Strategic Outlook
11.11.5 SWOT Analysis
11.12 Microsoft Corporation
11.12.1 Business Overview
11.12.2 Financial Data
11.12.3 Product Landscape
11.12.4 Strategic Outlook
11.12.5 SWOT Analysis
11.13 MicroStrategy Incorporated
11.13.1 Business Overview
11.13.2 Financial Data
11.13.3 Product Landscape
11.13.4 Strategic Outlook
11.13.5 SWOT Analysis
11.14 Oracle Corporation
11.14.1 Business Overview
11.14.2 Financial Data
11.14.3 Product Landscape
11.14.4 Strategic Outlook
11.14.5 SWOT Analysis
11.15 QlikTech International AB
11.15.1 Business Overview
11.15.2 Financial Data
11.15.3 Product Landscape
11.15.4 Strategic Outlook
11.15.5 SWOT Analysis
11.15.6 SWOT Analysis
11.16 Roamler B.V.
11.16.1 Business Overview
11.16.2 Financial Data
11.16.3 Product Landscape
11.16.4 Strategic Outlook
11.16.5 SWOT Analysis
11.16.6 SWOT Analysis
11.17 Salesforce.com, Inc.
11.17.1 Business Overview
11.17.2 Financial Data
11.17.3 Product Landscape
11.17.4 Strategic Outlook
11.17.5 SWOT Analysis
11.17.6 SWOT Analysis
11.18 SAP SE
11.18.1 Business Overview
11.18.2 Financial Data
11.18.3 Product Landscape
11.18.4 Strategic Outlook
11.18.5 SWOT Analysis
11.19 SAS Institute, Inc.
11.19.1 Business Overview
11.19.2 Financial Data
11.19.3 Product Landscape
11.19.4 Strategic Outlook
11.19.5 SWOT Analysis
11.20 Teradata Corporation
11.20.1 Business Overview
11.20.2 Financial Data
11.20.3 Product Landscape
11.20.4 Strategic Outlook
11.20.5 SWOT Analysis
11.21 TIBCO Software, Inc.
11.21.1 Business Overview
11.21.2 Financial Data
11.21.3 Product Landscape
11.21.4 Strategic Outlook
11.21.5 SWOT Analysis
11.22 TopMission (Hereby CrowdSystems Holding, LTD.)
11.22.1 Business Overview
11.22.2 Financial Data
11.22.3 Product Landscape
11.22.4 Strategic Outlook
11.22.5 SWOT Analysis
