Germany Big Data Analytics in Retail Market Report and Forecast 2024-2032

Germany Big Data Analytics in Retail Market Size

The Germany big data analytics in retail market is projected to grow at a CAGR of 11.2% between 2024 and 2032.

Germany Big Data Analytics in Retail Market Outlook

• According to the data from the OECD, there were about 2,20,608 business enterprises in Germany in 2021.

• In 2022, data from Destatis showed that the retail industry has a market turnover of 2 trillion with e-commerce contributing 13%.

• Big data is transforming the digital space by providing real-time insights into the market and enhancing customer experience and market strategies.

Germany Big Data Analytics in Retail Market Growth

Germany big data analytics in retail market growth is propelled forward by the utilisation of social media analytics, facilitating the advancement of a data-driven economy. Social media analytics is widely gaining popularity as they offer sentiment analysis to better understand the market, generating actual feedback on products and services offered. They also help to identify trends happening in a particular demographic, tracking content engagements and interest of users, and allowing the retail industry to focus on their target audience. With increasing demand from businesses seeking to improve efficiency, make better decisions, and optimise operations, there is rapid growth in the market across this domain.

In April 2024, Tableau expanded its partnership with the Microsoft team and Microsoft Fabric to provide key insights for business, allowing users to search, share and interact with Tableau pulse insights within teams. Tableau integrated its software with Microsoft One Lake providing users with advanced data exploration and discovery capabilities.

Merchandising and supply chain analytics focus on analysing data related to product sales, inventory management and customer behaviour for forecasting future demand and have better product placement planning. Data captured from retail POS machines, inventory management systems and customer relationship management systems provide a dataset that can be further analysed by the retail industry to generate consumer insights and have better price optimizations.

Germany Big Data Analytics in Retail Market Segmentation

Germany Big Data Analytics in Retail Market Report and Forecast 2024-2032 offers a detailed analysis of the market based on the following segments:

Market Breakup by Component

• Software

• Service

Market Breakup by Deployment Mode

• On-Premises

• Cloud

Market Breakup by Organisation Size

• Large Enterprises 

• Small and Medium Enterprises

Market Breakup by Application

• Social Media Analytics

• Merchandising and Supply Chain Analytics

• Customer Analytics

• Operational Intelligence

• Others

Market Breakup by Region

• North Rhine-Westphalia

• Bavaria

• Baden-Wurttemberg

Germany Big Data Analytics in Retail Market Share

The analytics market is segmented by application into social media analytics, merchandising and supply chain analytics, customer analytics, operational intelligence, and others. Customer analytics is that segment of analytics that focuses on analysing consumer behaviours, preferences, and their buying patterns. By leveraging data from various trusted sources, businesses can make sound decisions and offer personalised marketing services, which in turn improve overall customer experiences and boost retention rates.

Leading Companies in the Germany Big Data Analytics in Retail Market

The report provides a detailed analysis of the following key players in the market, covering their competitive landscape and the latest developments like mergers and acquisitions, investments, and capacity expansion.

• MicroStrategy Incorporated

• IBM Corp

• SAP SE

• Salesforce Inc. (Tableau)

• Teradata Corp

• Oracle Corp

• Adobe Inc

• Hitachi Ltd. (Hitachi Vantara LLC)

• QlikTech International AB

• Zoho Corp

• Others

Major players in the analytics market are increasing their investment in advanced technologies like AI, machine learning, and big data analytics to enhance their offerings and come up with new software with advanced features. Additionally, these companies started to focus on partnerships and collaborations to broaden their reach and capabilities.

Key Highlights of the Report