We have released a summary of our
detailed review of data analytics consulting M&A and investor trends for
owners of businesses across the knowledge economy.
At the core of the Fourth Industrial
Revolution is the fusion of big data, advanced analytics and new physical
technologies. The key to business success in the new digital age is no longer
being able to simply use data to measure current and past performance. It is
being able to make predictions about the future and quickly prescribe
recommended strategies that can enrich decision making.
From a delivery model perspective, there is pressure on knowledge-intensive services firms to enhance their consulting offering with new data analytics solutions. This same pressure is being felt by consulting firms’ clients, who look to their advisers for assistance in innovating and realizing competitive advantages from new data analytics tools. Across the space in 2018, we found that buyers focused on acquisition targets with proprietary platforms, leverageable IP and managed services solutions.
Welcome back to Equiteq Edge. A new year brings new opportunities for a fresh start. So, as you return to work after an indulgent festive break, we thought we’d provide a quick summary of some of the important things we’ve learnt over the course of 2016 – and that you can apply in the year ahead.
Businesses are continuing to capture and interpret customer data, and as data analysis translates into increased profits, the acquisition demand for consultancies in big data and analytics is driven higher. Consider, as an illustration of this trend, the 165% increase in big data services’ global revenue between 2012 and 2014.
Consultancies advising on big data strategies play an integral role in a corporation’s long-term adoption of specific data and analytics technology providers. Because of this, such hardware and software providers have increased their pursuit of partnerships and collaborations with professional services (PS) firms. The sector wide shortage of PS practitioners who are able to implement, interpret and leverage big data is reflected in their revenue: In 2014, PS companies represented more than 38% of big data’s global revenue – almost US$10.5bn.
There are 4 primary drivers that enable acquirers to monetize the broad market opportunity in big data and analytics:
Leverage existing services: Integration of big data and analytics capabilities into the existing advisory capabilities allows deeper, more robust insights to be drawn out. Integration also lengthens the advisory period by adding a valuable analytics advisory session at the start of a project and the potential for analytics services when nearing the project’s conclusion
Acquire talent: There is a high demand for professionals with the required analytical expertise – and it can be more efficient to acquire this expertise via an M&A strategy, rather than developing the necessary skills in-house
Fuel business development: With additional capabilities, there is the potential to increase client and market share by bringing the newer technologies through along with more traditional service offerings
Gain access to big data and analytics intellectual property (IP): Acquirers are focused on how to remain at the cutting edge of technological innovation, with top consulting firms launching standalone ‘innovation labs’ for big data and analytics. To fuel development of these labs they are adopting an aggressive acquisition strategy
M&A activity in the big data and analytics sector is healthy across the globe, with top buyers being diverse and usually international. In North and South America, Teradata (5 deals) and IBM (3 deals) have been the most active 2010-2016. EMEA has seen SAP make 6 deals and Accenture, 5. In APAC, NTT has been active with 4 deals.
The years 2010-2016 (year to date February 2016) saw a total of 639 transactions in this space with 65% of the acquired firms based in North America. Big data and analytics firms continue to be able to command premium prices; IP and stable revenue growth, coupled with high profit margins and deep sector specialism are reflected in higher multiples for these businesses. These multiples lend themselves to a strong forecast.
With 17 deals in big data and analytics since the beginning of the year already, we believe this presents exciting opportunities for both consultancy owners looking to sell their businesses, and for acquirers determined to remain at the forefront of technological development to increase their market share.
Are you a member of Equiteq Edge? It’s full of content to help consulting firm owners prepare for sale and sell their business. Register here to gain full access.