Product Code: 319
Retail Analytics Market size is forecast to expand meteorically through 2032 driven by the thriving e-commerce industry in Latin America. Increasing penetration of smartphones and internet access, along with paradigm shift in buying habits of consumers in the region has surged the use of e-commerce. As per International Trade Administration statistics, the number of online consumers in Brazil, in 2020 alone, rose by more than 40%.
Growing awareness regarding importance of data analytics amongst retailers in the Asia Pacific economies would further propel the market prospects between 2023-2032. Hong Kong malls and retailers are using AI analytics to gain more insights about the shopping habits and preferences of customers, which would eventually help them revive sales after years of industry slump.
The global retail analytics market is projected to face challenges on grounds of dearth in technical expertise. Use of retail analytics tools and data thus derived needs skilled professionals to convert it into usable insights. A survey conducted in 2020 reported that about 35% of companies cited having difficulty in finding appropriate skillsets for data science roles. Such factors are likely to impede the market growth curve.
However, launch of new training programs constructed by public and private organizations to enhance the data analytics skills for retailers would offer lucrative growth opportunities for retail analytics market players.
The overall industry is segregated in terms of function, solution, service, enterprise size, deployment mode, crowdsourcing, and regions.
On the basis of function, the retail analytics market growth is characterized by merchandizing. In 2022, the segment captured a revenue share of more than 22.5% and is estimated to grow notably through 2032. Merchandizing analytics tools allow retail organization to enhance their merchandising strategies in tandem with effective planning, assortment, and negotiations.
With regards to service, managed services segment across retail analytics market would expand at more than 27% growth rate between 2023-2032. These services enable enterprises to leverage the benefits of easy-to-grasp dashboards and reports without the need for hefty investments in time and financial resources.
Based on the enterprise size, SMEs are projected to generate high demands for retail analytics given the rising investments of these enterprises in data analytics for managing ad campaigns, determining pricing strategies, and making data-driven business decisions. The segment is anticipated to depict over 25.5% CAGR over 2023-2032.
Regionally, the Middle East and Africa retail analytics market would expand profusely through 2032. The regional market is expected to acquire a business share of 10% by 2032 end. The growth can be credited to the increasing presence of leading retail analytics companies in the MEA economies. These enterprises are focusing on digitization with the adoption of advanced technology solutions to gain a niche in the marketplace.
Table of Contents
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 360 degree 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 SMEs
- 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