EU-Europäische MarTech Landscape 2020

The first European Martech and CRM software landscape has appeared

First European MarTech and CRM software landscape

Last month a team around Frans Riemersma completed and released the first European MarTech and CRM software landscape.

Almost 2.500 tools are depicted on it and show one thing: the market as a whole is still growing. With Scott Brinker’s collection of about 7.500 tools and the European vendors, the entire market is now well over 9.000 software products.

Nearly 2.500 vendors at a glance

All the more reason for the selection process to require professional guidance. We have been following the development for over 4 years. Therefore we have an overview of which products are suitable for which purposes. With our own special landscapes for CRM and marketing automation, we are deep into the matter and the market.

Are there differences between the USA and the EU?

What do you notice in a first analysis of the European or American landscape?

In Europe there are more providers for

  • Account Based Marketing (ABM)
  • Mobile marketing and mobile apps
  • Optimization and testing of personalization
  • Channel partners and local marketing

In Scott’s Landscape there are more providers for

  • Digital Asset Management (DAM & Marketing Resource Management (MRM)
  • eCommerce Platforms
  • SEO

Conclusion:

Whatever your software landscape looks like today and in the future, the old saying “Form Follows Function” applies. And function here also stands for processes. Customers are completely indifferent to the functional silos of companies. They require/expect a smooth customer journey or a comparable experience at every touchpoint. This does not require standard software, but processes that are customized to the customer’s needs. Therefore the tool selection is comparable to building a house, everything must fit together. We support you 100% neutrally.

Picture source: https://martechtribe.com

 

Note: This is a machine translation. It is neither 100% complete nor 100% correct. We can therefore not guarantee the result.

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