Europe Retail Analytics Market By Component (Software & Services), By Deployment Mode (Cloud & On-Premise), By Organization Size (SME’s, Large Organization), By Application (Customer Management, Inventory Analysis, Yield Analysis, Order & Fulfilment Management, Merchandising Analysis, Performance Analysis, Pricing Analysis, Cluster Planning & Transportation Management, and Others), By End User (Offline, Online), By Country, Competition Forecast & Opportunities, 2020-2030F
Market Overview
Europe retail analytics market was valued at USD 1.85 Billion in 2024 and is anticipated to reach USD 5.23 Billion by 2030 at a CAGR of 18.73% during the forecast period. The European retail landscape has undergone a profound transformation in recent years, driven by a confluence of factors including shifting consumer behaviors, technological advancements, and the ever-evolving competitive landscape. Amidst this transformation, the Europe retail analytics market has emerged as a vital catalyst for retailers looking to thrive in an increasingly dynamic and data-centric environment. This market has experienced remarkable growth, marked by a surge in the adoption of analytics solutions by retailers of all sizes and segments across the continent. In today's fiercely competitive retail ecosystem, data has become the new currency. Retail analytics has risen to prominence as a potent tool for businesses to gain a competitive edge, optimize their operations, and deliver superior customer experiences.
Retailers throughout Europe are harnessing the power of advanced analytics tools to collect, analyze, and interpret copious amounts of data generated through multiple touchpoints, including in-store transactions, e-commerce platforms, mobile apps, social media interactions, and customer feedback. This data-driven approach empowers retailers to gain deep insights into consumer preferences, shopping patterns, and market trends, enabling them to make data-informed decisions on critical aspects of their business, such as product assortment, pricing strategies, and marketing campaigns. One of the most notable trends driving the Europe Retail Analytics Market is the unwavering focus on delivering personalized customer experiences. As consumers increasingly demand tailored interactions, retailers are leveraging analytics to create customized shopping journeys that cater to individual preferences and needs. By meticulously analyzing customer data, retailers can craft targeted product recommendations, deliver personalized promotions, and optimize the layout and design of their physical stores. These efforts lead to heightened customer satisfaction, increased sales, and greater customer loyalty, as shoppers feel a stronger connection to brands that understand and meet their unique needs. Furthermore, the integration of cutting-edge technologies, notably artificial intelligence (AI) and machine learning (ML), has revolutionized retail analytics across Europe.
Key Market Drivers
Digital Transformation in Retail
The Europe retail analytics market is being significantly driven by the ongoing digital transformation within the retail industry. Traditional brick-and-mortar retailers are increasingly embracing e-commerce and omnichannel strategies to meet the evolving preferences of consumers. As a result, they are collecting vast amounts of data from various online and offline channels, creating a rich source of information. Retail analytics enables these businesses to make sense of this data, extracting valuable insights that can inform their decision-making processes. The digital transformation encompasses various aspects, including the integration of digital payment solutions, the use of mobile apps for shopping, and the adoption of IoT devices for inventory tracking and supply chain optimization. Retail analytics plays a pivotal role in optimizing these digital initiatives. For example, it helps retailers understand customer behavior across online and offline touchpoints, enabling them to personalize marketing efforts, improve product recommendations, and enhance the overall customer experience. Consequently, the digital transformation in retail is propelling the adoption of retail analytics solutions across Europe as retailers seek to remain competitive in the digital era.
Data Privacy and Compliance
One of the foremost challenges facing the Europe Retail Analytics Market is the complex landscape of data privacy regulations and the need for stringent compliance. Europe has been at the forefront of data protection regulations, with the General Data Protection Regulation (GDPR) being a landmark piece of legislation. While these regulations are designed to protect consumers' personal data, they have introduced significant challenges for retailers, particularly those leveraging retail analytics. Under GDPR and other regional regulations, retailers must obtain explicit consent from customers to collect and use their personal data for analytics purposes. This requirement adds a layer of complexity to data collection efforts, as retailers must ensure that their data collection practices align with these regulations. Additionally, retailers are obliged to provide customers with transparency regarding how their data is used and allow them to exercise their rights, such as the right to access, rectify, or delete their data.
Moreover, the intricacies of data anonymization and pseudonymization pose challenges for retailers using analytics to derive insights from customer data while safeguarding privacy. Striking the right balance between data utility for analytics and data protection can be a delicate task. Retailers must invest in advanced data protection measures, including encryption, access controls, and auditing capabilities, to ensure data privacy while maintaining the integrity of their analytics initiatives. Another challenge related to data privacy is the cross-border data transfer issue. European retailers often operate in multiple countries, and transferring customer data across borders while complying with different national regulations can be complex and time-consuming. The recent ruling by the European Court of Justice invalidating the EU-US Privacy Shield framework has added uncertainty to international data transfers, further complicating the landscape for retailers.
Key Market Trends
AI-Powered Customer Insights for Hyper-Personalization
One of the prominent market trends in the Europe Retail Analytics Market is the increasing adoption of artificial intelligence (AI) and machine learning (ML) to gain deeper customer insights and drive hyper-personalization. Retailers across Europe are recognizing the potential of AI-driven analytics to understand customer behavior at a granular level. By analyzing vast datasets encompassing online and offline interactions, purchase histories, and social media engagement, retailers can develop a comprehensive understanding of individual preferences and shopping journeys. AI-powered analytics not only enable retailers to segment customers effectively but also empower them to deliver highly personalized shopping experiences. For instance, recommendation engines powered by ML algorithms can suggest products tailored to a customer's preferences and previous purchase history, increasing the likelihood of conversions and cross-selling. Chatbots and virtual assistants, driven by natural language processing (NLP), are used to provide real-time, personalized customer support, enhancing engagement and customer satisfaction.
Moreover, predictive analytics powered by AI can forecast customer behaviors and trends with remarkable accuracy. This capability allows retailers to proactively plan marketing strategies, optimize inventory management, and respond swiftly to changing consumer demands. As AI technologies continue to evolve and become more accessible, the trend of leveraging AI for hyper-personalization in retail analytics is expected to gain further momentum across Europe.
Key Market Players
In this report, the Europe Retail Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Europe Retail Analytics Market.
Available Customizations:
Europe retail analytics market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
Europe retail analytics market was valued at USD 1.85 Billion in 2024 and is anticipated to reach USD 5.23 Billion by 2030 at a CAGR of 18.73% during the forecast period. The European retail landscape has undergone a profound transformation in recent years, driven by a confluence of factors including shifting consumer behaviors, technological advancements, and the ever-evolving competitive landscape. Amidst this transformation, the Europe retail analytics market has emerged as a vital catalyst for retailers looking to thrive in an increasingly dynamic and data-centric environment. This market has experienced remarkable growth, marked by a surge in the adoption of analytics solutions by retailers of all sizes and segments across the continent. In today's fiercely competitive retail ecosystem, data has become the new currency. Retail analytics has risen to prominence as a potent tool for businesses to gain a competitive edge, optimize their operations, and deliver superior customer experiences.
Retailers throughout Europe are harnessing the power of advanced analytics tools to collect, analyze, and interpret copious amounts of data generated through multiple touchpoints, including in-store transactions, e-commerce platforms, mobile apps, social media interactions, and customer feedback. This data-driven approach empowers retailers to gain deep insights into consumer preferences, shopping patterns, and market trends, enabling them to make data-informed decisions on critical aspects of their business, such as product assortment, pricing strategies, and marketing campaigns. One of the most notable trends driving the Europe Retail Analytics Market is the unwavering focus on delivering personalized customer experiences. As consumers increasingly demand tailored interactions, retailers are leveraging analytics to create customized shopping journeys that cater to individual preferences and needs. By meticulously analyzing customer data, retailers can craft targeted product recommendations, deliver personalized promotions, and optimize the layout and design of their physical stores. These efforts lead to heightened customer satisfaction, increased sales, and greater customer loyalty, as shoppers feel a stronger connection to brands that understand and meet their unique needs. Furthermore, the integration of cutting-edge technologies, notably artificial intelligence (AI) and machine learning (ML), has revolutionized retail analytics across Europe.
Key Market Drivers
Digital Transformation in Retail
The Europe retail analytics market is being significantly driven by the ongoing digital transformation within the retail industry. Traditional brick-and-mortar retailers are increasingly embracing e-commerce and omnichannel strategies to meet the evolving preferences of consumers. As a result, they are collecting vast amounts of data from various online and offline channels, creating a rich source of information. Retail analytics enables these businesses to make sense of this data, extracting valuable insights that can inform their decision-making processes. The digital transformation encompasses various aspects, including the integration of digital payment solutions, the use of mobile apps for shopping, and the adoption of IoT devices for inventory tracking and supply chain optimization. Retail analytics plays a pivotal role in optimizing these digital initiatives. For example, it helps retailers understand customer behavior across online and offline touchpoints, enabling them to personalize marketing efforts, improve product recommendations, and enhance the overall customer experience. Consequently, the digital transformation in retail is propelling the adoption of retail analytics solutions across Europe as retailers seek to remain competitive in the digital era.
- 77% of European retailers now operate on at least one omnichannel platform, integrating online and offline data streams.
- 65% of retailers in Western Europe have adopted IoT-based inventory tracking, enhancing real-time stock visibility.
- The mobile shopping app usage rate in Europe has surged by 42% between 2020 and 2024, prompting investment in mobile analytics tools.
- Over 58% of retailers use digital payment solutions like e-wallets and contactless payments, generating transaction data for real-time analysis.
- 73% of retail executives state that data analytics significantly improved decision-making in areas such as supply chain optimization and store layout planning.
Data Privacy and Compliance
One of the foremost challenges facing the Europe Retail Analytics Market is the complex landscape of data privacy regulations and the need for stringent compliance. Europe has been at the forefront of data protection regulations, with the General Data Protection Regulation (GDPR) being a landmark piece of legislation. While these regulations are designed to protect consumers' personal data, they have introduced significant challenges for retailers, particularly those leveraging retail analytics. Under GDPR and other regional regulations, retailers must obtain explicit consent from customers to collect and use their personal data for analytics purposes. This requirement adds a layer of complexity to data collection efforts, as retailers must ensure that their data collection practices align with these regulations. Additionally, retailers are obliged to provide customers with transparency regarding how their data is used and allow them to exercise their rights, such as the right to access, rectify, or delete their data.
Moreover, the intricacies of data anonymization and pseudonymization pose challenges for retailers using analytics to derive insights from customer data while safeguarding privacy. Striking the right balance between data utility for analytics and data protection can be a delicate task. Retailers must invest in advanced data protection measures, including encryption, access controls, and auditing capabilities, to ensure data privacy while maintaining the integrity of their analytics initiatives. Another challenge related to data privacy is the cross-border data transfer issue. European retailers often operate in multiple countries, and transferring customer data across borders while complying with different national regulations can be complex and time-consuming. The recent ruling by the European Court of Justice invalidating the EU-US Privacy Shield framework has added uncertainty to international data transfers, further complicating the landscape for retailers.
Key Market Trends
AI-Powered Customer Insights for Hyper-Personalization
One of the prominent market trends in the Europe Retail Analytics Market is the increasing adoption of artificial intelligence (AI) and machine learning (ML) to gain deeper customer insights and drive hyper-personalization. Retailers across Europe are recognizing the potential of AI-driven analytics to understand customer behavior at a granular level. By analyzing vast datasets encompassing online and offline interactions, purchase histories, and social media engagement, retailers can develop a comprehensive understanding of individual preferences and shopping journeys. AI-powered analytics not only enable retailers to segment customers effectively but also empower them to deliver highly personalized shopping experiences. For instance, recommendation engines powered by ML algorithms can suggest products tailored to a customer's preferences and previous purchase history, increasing the likelihood of conversions and cross-selling. Chatbots and virtual assistants, driven by natural language processing (NLP), are used to provide real-time, personalized customer support, enhancing engagement and customer satisfaction.
Moreover, predictive analytics powered by AI can forecast customer behaviors and trends with remarkable accuracy. This capability allows retailers to proactively plan marketing strategies, optimize inventory management, and respond swiftly to changing consumer demands. As AI technologies continue to evolve and become more accessible, the trend of leveraging AI for hyper-personalization in retail analytics is expected to gain further momentum across Europe.
Key Market Players
- IBM Corporation
- SAP SE (Societas Europaea)
- Oracle Corporation
- Salesforce.com, Inc.
- Adobe Systems Software Ireland Limited
- SAS Institute Inc. (Europe)
- Tableau Software Inc. (acquired by Salesforce)
- QlikTech International AB
- Domo International Limited
- Manthan Systems Inc.
In this report, the Europe Retail Analytics Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
- Europe Retail Analytics Market, By Component:
- Software
- Services
- Europe Retail Analytics Market, By Deployment Mode:
- Cloud
- On-Premises
- Europe Retail Analytics Market, By Organization Size:
- SME’s
- Large Organization
- Europe Retail Analytics Market, By Application:
- Customer Management
- Inventory Analysis
- Yield Analysis
- Order & Fulfilment Management
- Merchandising Analysis
- Performance Analysis
- Pricing Analysis
- Cluster Planning & Transportation Management
- Others
- Europe Retail Analytics Market, By End User:
- Offline
- Online
- Europe Retail Analytics Market, By Country:
- United Kingdom
- Germany
- Spain
- France
- Italy
- Netherlands
- Sweden
- Ireland
- Switzerland
- Norway
- Rest of Europe
Company Profiles: Detailed analysis of the major companies present in the Europe Retail Analytics Market.
Available Customizations:
Europe retail analytics market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:
Company Information
- Detailed analysis and profiling of additional market players (up to five).
1. SERVICE OVERVIEW
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON EUROPE RETAIL ANALYTICS MARKET
5. VOICE OF CUSTOMER
6. EUROPE RETAIL ANALYTICS MARKET OVERVIEW
7. EUROPE RETAIL ANALYTICS MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component (Software, Service)
7.2.2. By Deployment Mode (Cloud, On-Premises)
7.2.3. By Organization Size (SME’s, Large Organization)
7.2.4. By Application (Customer Management, Inventory Analysis, Yield Analysis, Order & Fulfilment Management, Merchandising Analysis, Performance Analysis, Pricing Analysis, Cluster Planning & Transportation Management, and Others)
7.2.5. By End User (Offline, Online)
7.2.6. By Country (United Kingdom, Germany, Spain, France, Italy, Netherlands, Sweden, Ireland, Switzerland, Norway, Rest of Europe)
7.3. By Company (2024)
7.4. Market Map
8. UNITED KINGDOM RETAIL ANALYTICS MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment Mode
8.2.3. By Organization Size
8.2.4. By Application
8.2.5. By End User
9. GERMANY RETAIL ANALYTICS MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment Mode
9.2.3. By Organization Size
9.2.4. By Application
9.2.5. By End User
10. SPAIN RETAIL ANALYTICS MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment Mode
10.2.3. By Organization Size
10.2.4. By Application
10.2.5. By End User
11. FRANCE RETAIL ANALYTICS MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment Mode
11.2.3. By Organization Size
11.2.4. By Application
11.2.5. By End User
12. ITALY RETAIL ANALYTICS MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Value
12.2. Market Share & Forecast
12.2.1. By Component
12.2.2. By Deployment Mode
12.2.3. By Organization Size
12.2.4. By Application
12.2.5. By End User
13. NETHERLANDS RETAIL ANALYTICS MARKET OUTLOOK
13.1. Market Size & Forecast
13.1.1. By Value
13.2. Market Share & Forecast
13.2.1. By Component
13.2.2. By Deployment Mode
13.2.3. By Organization Size
13.2.4. By Application
13.2.5. By End User
14. SWEDEN RETAIL ANALYTICS MARKET OUTLOOK
14.1. Market Size & Forecast
14.1.1. By Value
14.2. Market Share & Forecast
14.2.1. By Component
14.2.2. By Deployment Mode
14.2.3. By Organization Size
14.2.4. By Application
14.2.5. By End User
15. IRELAND RETAIL ANALYTICS MARKET OUTLOOK
15.1. Market Size & Forecast
15.1.1. By Value
15.2. Market Share & Forecast
15.2.1. By Component
15.2.2. By Deployment Mode
15.2.3. By Organization Size
15.2.4. By Application
15.2.5. By End User
16. SWITZERLAND RETAIL ANALYTICS MARKET OUTLOOK
16.1. Market Size & Forecast
16.1.1. By Value
16.2. Market Share & Forecast
16.2.1. By Component
16.2.2. By Deployment Mode
16.2.3. By Organization Size
16.2.4. By Application
16.2.5. By End User
17. NORWAY RETAIL ANALYTICS MARKET OUTLOOK
17.1. Market Size & Forecast
17.1.1. By Value
17.2. Market Share & Forecast
17.2.1. By Component
17.2.2. By Deployment Mode
17.2.3. By Organization Size
17.2.4. By Application
17.2.5. By End User
18. MARKET DYNAMICS
18.1.Drivers
18.2.Challenges
19. MARKET TRENDS AND DEVELOPMENTS
20. COMPANY PROFILES
20.1. IBM Corporation
20.1.1. Business Overview
20.1.2. Key Revenue and Financials
20.1.3. Recent Developments
20.1.4. Key Personnel
20.1.5. Key Product/Services Offered
20.2. SAP SE (Societas Europaea)
20.2.1. Business Overview
20.2.2. Key Revenue and Financials
20.2.3. Recent Developments
20.2.4. Key Personnel
20.2.5. Key Product/Services Offered
20.3. Oracle Corporation
20.3.1. Business Overview
20.3.2. Key Revenue and Financials
20.3.3. Recent Developments
20.3.4. Key Personnel
20.3.5. Key Product/Services Offered
20.4. Salesforce.com, Inc.
20.4.1. Business Overview
20.4.2. Key Revenue and Financials
20.4.3. Recent Developments
20.4.4. Key Personnel
20.4.5. Key Product/Services Offered
20.5. Adobe Systems Software Ireland Limited
20.5.1. Business Overview
20.5.2. Key Revenue and Financials
20.5.3. Recent Developments
20.5.4. Key Personnel
20.5.5. Key Product/Services Offered
20.6. SAS Institute Inc. (Europe)
20.6.1. Business Overview
20.6.2. Key Revenue and Financials
20.6.3. Recent Developments
20.6.4. Key Personnel
20.6.5. Key Product/Services Offered
20.7. Tableau Software Inc. (acquired by Salesforce)
20.7.1. Business Overview
20.7.2. Key Revenue and Financials
20.7.3. Recent Developments
20.7.4. Key Personnel
20.7.5. Key Product/Services Offered
20.8. QlikTech International AB
20.8.1. Business Overview
20.8.2. Key Revenue and Financials
20.8.3. Recent Developments
20.8.4. Key Personnel
20.8.5. Key Product/Services Offered
20.9. Domo International Limited
20.9.1. Business Overview
20.9.2. Key Revenue and Financials
20.9.3. Recent Developments
20.9.4. Key Personnel
20.9.5. Key Product/Services Offered
20.10.Manthan Systems, Inc.
20.10.1. Business Overview
20.10.2. Key Revenue and Financials
20.10.3. Recent Developments
20.10.4. Key Personnel
20.10.5. Key Product/Services Offered
21. STRATEGIC RECOMMENDATIONS
22. ABOUT US & DISCLAIMER
1.1. Market Definition
1.2. Scope of the Market
1.2.1. Markets Covered
1.2.2. Years Considered for Study
1.2.3. Key Market Segmentations
2. RESEARCH METHODOLOGY
2.1. Objective of the Study
2.2. Baseline Methodology
2.3. Key Industry Partners
2.4. Major Association and Secondary Sources
2.5. Forecasting Methodology
2.6. Data Triangulation & Validation
2.7. Assumptions and Limitations
3. EXECUTIVE SUMMARY
4. IMPACT OF COVID-19 ON EUROPE RETAIL ANALYTICS MARKET
5. VOICE OF CUSTOMER
6. EUROPE RETAIL ANALYTICS MARKET OVERVIEW
7. EUROPE RETAIL ANALYTICS MARKET OUTLOOK
7.1. Market Size & Forecast
7.1.1. By Value
7.2. Market Share & Forecast
7.2.1. By Component (Software, Service)
7.2.2. By Deployment Mode (Cloud, On-Premises)
7.2.3. By Organization Size (SME’s, Large Organization)
7.2.4. By Application (Customer Management, Inventory Analysis, Yield Analysis, Order & Fulfilment Management, Merchandising Analysis, Performance Analysis, Pricing Analysis, Cluster Planning & Transportation Management, and Others)
7.2.5. By End User (Offline, Online)
7.2.6. By Country (United Kingdom, Germany, Spain, France, Italy, Netherlands, Sweden, Ireland, Switzerland, Norway, Rest of Europe)
7.3. By Company (2024)
7.4. Market Map
8. UNITED KINGDOM RETAIL ANALYTICS MARKET OUTLOOK
8.1. Market Size & Forecast
8.1.1. By Value
8.2. Market Share & Forecast
8.2.1. By Component
8.2.2. By Deployment Mode
8.2.3. By Organization Size
8.2.4. By Application
8.2.5. By End User
9. GERMANY RETAIL ANALYTICS MARKET OUTLOOK
9.1. Market Size & Forecast
9.1.1. By Value
9.2. Market Share & Forecast
9.2.1. By Component
9.2.2. By Deployment Mode
9.2.3. By Organization Size
9.2.4. By Application
9.2.5. By End User
10. SPAIN RETAIL ANALYTICS MARKET OUTLOOK
10.1. Market Size & Forecast
10.1.1. By Value
10.2. Market Share & Forecast
10.2.1. By Component
10.2.2. By Deployment Mode
10.2.3. By Organization Size
10.2.4. By Application
10.2.5. By End User
11. FRANCE RETAIL ANALYTICS MARKET OUTLOOK
11.1. Market Size & Forecast
11.1.1. By Value
11.2. Market Share & Forecast
11.2.1. By Component
11.2.2. By Deployment Mode
11.2.3. By Organization Size
11.2.4. By Application
11.2.5. By End User
12. ITALY RETAIL ANALYTICS MARKET OUTLOOK
12.1. Market Size & Forecast
12.1.1. By Value
12.2. Market Share & Forecast
12.2.1. By Component
12.2.2. By Deployment Mode
12.2.3. By Organization Size
12.2.4. By Application
12.2.5. By End User
13. NETHERLANDS RETAIL ANALYTICS MARKET OUTLOOK
13.1. Market Size & Forecast
13.1.1. By Value
13.2. Market Share & Forecast
13.2.1. By Component
13.2.2. By Deployment Mode
13.2.3. By Organization Size
13.2.4. By Application
13.2.5. By End User
14. SWEDEN RETAIL ANALYTICS MARKET OUTLOOK
14.1. Market Size & Forecast
14.1.1. By Value
14.2. Market Share & Forecast
14.2.1. By Component
14.2.2. By Deployment Mode
14.2.3. By Organization Size
14.2.4. By Application
14.2.5. By End User
15. IRELAND RETAIL ANALYTICS MARKET OUTLOOK
15.1. Market Size & Forecast
15.1.1. By Value
15.2. Market Share & Forecast
15.2.1. By Component
15.2.2. By Deployment Mode
15.2.3. By Organization Size
15.2.4. By Application
15.2.5. By End User
16. SWITZERLAND RETAIL ANALYTICS MARKET OUTLOOK
16.1. Market Size & Forecast
16.1.1. By Value
16.2. Market Share & Forecast
16.2.1. By Component
16.2.2. By Deployment Mode
16.2.3. By Organization Size
16.2.4. By Application
16.2.5. By End User
17. NORWAY RETAIL ANALYTICS MARKET OUTLOOK
17.1. Market Size & Forecast
17.1.1. By Value
17.2. Market Share & Forecast
17.2.1. By Component
17.2.2. By Deployment Mode
17.2.3. By Organization Size
17.2.4. By Application
17.2.5. By End User
18. MARKET DYNAMICS
18.1.Drivers
18.2.Challenges
19. MARKET TRENDS AND DEVELOPMENTS
20. COMPANY PROFILES
20.1. IBM Corporation
20.1.1. Business Overview
20.1.2. Key Revenue and Financials
20.1.3. Recent Developments
20.1.4. Key Personnel
20.1.5. Key Product/Services Offered
20.2. SAP SE (Societas Europaea)
20.2.1. Business Overview
20.2.2. Key Revenue and Financials
20.2.3. Recent Developments
20.2.4. Key Personnel
20.2.5. Key Product/Services Offered
20.3. Oracle Corporation
20.3.1. Business Overview
20.3.2. Key Revenue and Financials
20.3.3. Recent Developments
20.3.4. Key Personnel
20.3.5. Key Product/Services Offered
20.4. Salesforce.com, Inc.
20.4.1. Business Overview
20.4.2. Key Revenue and Financials
20.4.3. Recent Developments
20.4.4. Key Personnel
20.4.5. Key Product/Services Offered
20.5. Adobe Systems Software Ireland Limited
20.5.1. Business Overview
20.5.2. Key Revenue and Financials
20.5.3. Recent Developments
20.5.4. Key Personnel
20.5.5. Key Product/Services Offered
20.6. SAS Institute Inc. (Europe)
20.6.1. Business Overview
20.6.2. Key Revenue and Financials
20.6.3. Recent Developments
20.6.4. Key Personnel
20.6.5. Key Product/Services Offered
20.7. Tableau Software Inc. (acquired by Salesforce)
20.7.1. Business Overview
20.7.2. Key Revenue and Financials
20.7.3. Recent Developments
20.7.4. Key Personnel
20.7.5. Key Product/Services Offered
20.8. QlikTech International AB
20.8.1. Business Overview
20.8.2. Key Revenue and Financials
20.8.3. Recent Developments
20.8.4. Key Personnel
20.8.5. Key Product/Services Offered
20.9. Domo International Limited
20.9.1. Business Overview
20.9.2. Key Revenue and Financials
20.9.3. Recent Developments
20.9.4. Key Personnel
20.9.5. Key Product/Services Offered
20.10.Manthan Systems, Inc.
20.10.1. Business Overview
20.10.2. Key Revenue and Financials
20.10.3. Recent Developments
20.10.4. Key Personnel
20.10.5. Key Product/Services Offered
21. STRATEGIC RECOMMENDATIONS
22. ABOUT US & DISCLAIMER
