Facebook Pixel {العنوان: سلسلة} | {اسم المغناطيس: سلسلة} - {الفئة: سلسلة} - اقرأ هذه القصة على Magzter.com

يحاول ذهب - حر

Next Leap in Enterprise Cloud: Micro-Vertical SaaS

August 2025

|

DataQuest

As enterprise SaaS evolves beyond the one-size-fits-all applications, a new model is beginning to take shape — a model whereby cloud applications are tailored not only to industries, but to deep sub-sectors of those industries. In this interview, Phil Lewis, SVP at Infor, discusses how Infor has a vision for its industry-complete platforms, the continuing evolution of embedded GenAI, and the concept of software being invisible, yet required.

- Aanchal Ghatak

Next Leap in Enterprise Cloud: Micro-Vertical SaaS

Vertical SaaS is in a new chapter. With industry-centered software already accounting for more than 30% of the enterprise cloud market and growing more than double that of horizontal platforms, the next wave - “Vertical SaaS 2.0” - is now centered on micro-verticalisation, AI-native architecture, and real-time. At the leading edge of this transition is Infor, which is building cloud applications not just for industries such as manufacturing or healthcare, but for sub-sectors like dairy producers or specialty chemical plants.

“We are moving now into the realm of the micro-vertical,” says Phil Lewis, SVP at Infor, “where systems are built with a purpose to serve the unique intricacies that sit within the sectors themselves.” Excerpts:

How do you see the enterprise SaaS landscape evolving in the next 3-5 years? Are we moving into a “Vertical SaaS 2.0” era?

Over the next few years, SaaS will revolutionise organisations. Solutions will become even more tailored and cloud applications will be purpose built for very specific business needs.

But these tailored applications will extend far beyond what we consider 'traditional' verticalisation. We are moving into the realms of the micro-vertical—where systems are purpose built to compliment the unique intricacies that sit within the sectors themselves.

Take Food and Beverage for example. Traditional SaaS solutions may serve the wider industry, but there are hundreds if not thousands of micro-verticals within this sector, like bakeries, poultry or dairy producers. With the proliferation and deployment of new technologies such as AI and automation, purpose-built applications for each of these micro-sectors are now a reality. And at Infor that is exactly what we are focusing on—leading the way when it comes to deploying these systems.

What's driving the demand for industry-specific solutions vs traditional horizontal SaaS platforms?

المزيد من القصص من DataQuest

DataQuest

DataQuest

Engineering India's Al-First Data Centres at Hyperscale

Rohan Sheth explains how AI and HPC are reshaping India's data centres, from density and cooling to power economics, sustainability, and hyperscale decision criteria.

time to read

4 mins

February 2026

DataQuest

DataQuest

From copilots to colleagues: Why agentic AI is forcing enterprises to rethink control, trust, and culture

As AI agents shift from assisting to acting, enterprises must redesign governance, data controls, and security guardrails so autonomy stays auditable, reversible, and trusted.

time to read

2 mins

February 2026

DataQuest

DataQuest

Reclaiming Control in the AI Era: A Conversation with Kalyan Kumar, CPO, HCLSoftware

Enterprises are reassessing cloud-first strategies as AI becomes core to operations. HCLSoftware's Kalyan Kumar explains why sovereignty, choice and control now shape decisions.

time to read

5 mins

February 2026

DataQuest

DataQuest

When infrastructure learns: The rise of the Al-native core

AI-native infrastructure is moving from concept to operational reality, reshaping how organisations build, govern, and scale intelligence across their digital core.

time to read

6 mins

February 2026

DataQuest

DataQuest

Bridging the gap between connectivity and compute at scale

As AI scales in India, data centres are evolving into high-density, low-latency platforms that unify connectivity, compute, and sustainability at national scale.

time to read

4 mins

February 2026

DataQuest

DataQuest

PUE is not a grapefruit metric, anymore

So what are the new high-hanging fruits for data centre strategists today? And are players going after them?

time to read

4 mins

February 2026

DataQuest

DataQuest

Even if Al demand fades, India need not worry - about data centres

For every megawatt (MW) of installed colocation capacity, users here generate approximately 13.2 PB of data monthly- compared to 0.3 PB for Australia and just 0.01 PB for Singapore. India's data centre growth is not dependent on one tech lever. Plus, it is phased and modular and not kneejerk. Manoj Paul explains these contours in detail.

time to read

7 mins

February 2026

DataQuest

DataQuest

AI infrastructure and systemic risk

What has been the biggest change in data centre industry-specially after AI workloads? Is Al-bubble a big risk for data centre infra- how much will it affect data centres if something cracks?

time to read

1 min

February 2026

DataQuest

DataQuest

Inside the Shift to High-Density, Al-Ready Data Centres

CtrlS' Vipin Jain discusses what it truly takes to build AI-ready data centres in India, balancing high density, liquid-ready cooling, resilience, and ESG accountability.

time to read

4 mins

February 2026

DataQuest

DataQuest

Sustainability is now the headline, not a footnote

Sanjay Agrawal, Head Presales and CTO at Hitachi Vantara India and SAARC opines that the conversation is moving beyond headline metrics like PUE toward a broader view of how data lifecycle management and infrastructure efficiency reduce the overall environmental footprint. Let's see why and how- while also touching upon adjacent (or not-so-adjacent) factors like redundancies, availability and AI-readiness

time to read

3 mins

February 2026

Listen

Translate

Share

-
+

Change font size