Crystal Ball 2025: Need to streamline data management more extreme than ever
A note from Scott Achelpohl, managing editor, Smart Industry:
Welcome to the Crystal Ball Report for 2025, which will appear in this web space the rest of December and into January as a series of contributed pieces from esteemed experts in manufacturing technology.
We've invited these thought leaders to look into their "crystal balls" and tell us what's ahead (with an emphasis on data, AI, and cybersecurity). So please enjoy the series and, from all of us at SI, have a happy and safe holiday season.
What's in the Crystal Ball Report for 2025:
- Crystal Ball preview: Top cybersecurity risks in 2025 and beyond, by Carlos Buenaño, Armis
- The opportunity for AI-powered digital transformation, by Aaron Merkin, Fluke Reliability
- Cybersecurity top of mind for utilities, by Sally Jacquemin, Aspen Technology
- New year will demand streamlined data management, by Dwaine Plauche, Aspen Technology
- Workforce … industrial metaverse … reshoring … sustainability … China … all 2025 focus areas, by Ethan Karp, MAGNET
- Security in 2025 won't be just for the IT team, by Joe Anderson, TechSolve
Streamlining data management will be a key priority as AI adoption accelerates in 2025. The volume and complexity of data also is growing exponentially along with this development.
As data management becomes more daunting for industrial companies, especially as they prioritize AI applications and digital transformation initiatives, we’ll see them turn to OT data fabrics to streamline thousands of IT and OT connections and make data more accessible and actionable throughout the business.
Podcast: Which industrial technologies are really worth the investment?
OT data fabrics are capable of ingesting diverse data that connects people, machinery, plants, logistics, and IT systems across the enterprise, so data can more easily scale to unlock the potential of new business opportunities, like AI, well into the future.
Data management will become a competitive advantage in 2025
With the need for companies to be increasingly resilient and efficient amid economic uncertainties, data has emerged as a key tool to gain a competitive edge. When companies harness their data, they can find optimization opportunities they may not otherwise recognize and support a more agile and resilient organization.
Episode 2 of (R)Evolutionizing Manufacturing: Data is everything
The importance of this became clear during COVID-19 supply chain challenges, and the supply chain challenges we often still see today following extreme weather events and geopolitical and U.S. uncertainty. In 2025, companies will prioritize data management tools that mitigate data complexity and siloes, instead making it easier to extract value from their data amid a changing global economic landscape.
More of the Crystal Ball series:
- Insights on 2025 from talks with manufacturers, by Josh Cranfill, Quickbase
- AI, automation, and insider threat detection, by Chris Scheels, Gurucul
- Business leaders should look inward to identify what they can control, by Michael van Keulen, Coupa
- Cybersecurity trends that will reshape private content security, by Patrick Spencer, Kiteworks
- Configurability, modularity, and AI: The 2025 challenges, by Damantha Boteju, Henrik Hulgaard, and Daniel Joseph Barry, Configit
- The rise of resilient manufacturing, by Aron Brand, CTERA
- 2025 prediction thread, Part 1, by various authors
- 2025 prediction thread, Part 2, by various authors
- Your opinion counts: Results from SI's reader poll on 2025, by Scott Achelpohl, Smart Industry
Cybersecurity will be a top priority in data connectivity architecture
Connection points across IT and OT data are critical for industrial companies to be able to take advantage of new opportunities like AI and make data-driven decisions based on a holistic view of the business.
However, point-to-point connections, of which industrial companies typically have thousands, are often chaotic and complex, making them difficult to maintain and secure.
See also: Connected worker tech and AI are technologies that provide fast results
As the cyberthreat landscape continues to expand, data connection points are increasingly vulnerable to exploitation from bad actors.
In 2025, engaging with technology providers that prioritize secure development principles and compliance with cybersecurity standards will be a top priority for industrial companies.
By facilitating fewer connection points between IT and OT data, OT data fabrics will also be favored for their more secure and efficient industrial data management capabilities.
About the Author

Dwaine Plauche
Dwaine Plauche is senior manager of product marketing at Aspen Technology.