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Zoho Corporation Marks 30 Years - Now Supports Over One Million Organizations

Zoho Corporation celebrated its 30th anniversary by unveiling two significant achievements in the company's journey. 

Zoho Corporation, consisting of Zoho (cloud business solutions), ManageEngine (IT management), Qntrl  (business process management)  and  TrainerCentral  (e-learning platform), is now a trusted technology provider to more than one million paying customers and more than 150 million users globally. In 2025, Zoho Corporation recorded a 32% year-on-year increase in customers and a 20% rise in revenue. The announcement was made on the sidelines of India AI Impact Summit 2026.

"Being bootstrapped, private, and built entirely in-house makes Zoho an outlier among competitors," said Sridhar Vembu, Co-founder and Chief Scientist, Zoho Corporation. "But vendors don't need our help, businesses do, which is why delivering customer value has, for 30 years, been Zoho Corporation's North Star. Before any innovation, strategy, or guiding principle becomes a product, pivot, or policy, it must first affirm the question, 'Will this help businesses?' We are incredibly grateful that companies around the world have responded so positively to our customer-first approach over the past three decades, and will continue to meet the evolving needs of businesses with powerful, scalable, and affordable solutions."

Founded in 2005, Zoho has been driven by a strong foundation in deep tech R&D, offering AI-powered, cloud-based solutions that adapt to the changing demands of modern businesses. 

Zoho has been steadily moving upmarket, especially in India, over the past few years. Its domain-specific app platforms layered with no-code and low-code capabilities have helped many enterprises bring down implementation time, achieving faster time to market, and realizing faster ROI. This platform strategy has enabled Zoho to attract some of India's most prominent enterprises, including Mercedes-Benz India, Force Motors, Joyalukkas, and Union Bank of India. The company also collaborates closely with industry partners like TCS, PwC, and Deloitte to deliver tailored, sector-specific solutions for large organizations.

ManageEngine stands as a pillar of the company's enterprise portfolio powering the IT operations and security infrastructure of organizations worldwide. Since its founding in 2002, ManageEngine has been instrumental in helping enterprises navigate successive waves of technological change, from on-premises infrastructure to cloud, hybrid environments and now AI-driven ecosystems. With AI becoming embedded into the very fabric of enterprise infrastructure, IT management is undergoing another pivotal shift. Through its unified platform approach, ManageEngine has been able to deliver a comprehensive, secure and AI-driven ecosystem covering networks, servers, security, service desks, Active Directory, applications, and endpoints. Organizations like Samsung Electronics, Omega Healthcare, Narayana Healthcare, GMR Waisl rely on ManageEngine to modernize operations while maintaining visibility and resilience.

At the India AI Impact Summit 2026, Sridhar Vembu outlined a strategic approach to navigating the AI wave across software and IT sectors in his keynote address. He said, "While the current phase of AI may automate certain aspects across business functions, long-term stability will depend on solving real customer problems and staying close to the customers. In moments of major technological disruption, as we saw during the dot-com era, agility and reinvention are essential to spring back. The right response is to begin with low-stakes experimentation, without prejudging outcomes, and to stay open minded enough to pivot when required. Over time these experiments will shape opinions, and some of those opinions will evolve into convictions that will in turn drive decisive business action. These convictions cannot be forced, these are formed through experience, and once formed, organizations must be prepared to act. At Zoho, our long-standing principle has been to invest deeply in R&D and to experiment continuously as a way of building the future."

"I am optimistic about India because we have a youthful, and optimistic population. We are not weighed down by excessive skepticism or cynicism, and that is a blessing because it allows us to experiment. When we look at innovations such as Unified Payments Interface (UPI), we realize that India is already ahead in many areas of digital technology. The same can happen in the field of AI. If we continue to experiment optimistically, find new pathways, share results openly and learn from one another, we can build a very bright future and position India among the global leaders in AI adoption," he added.

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Zoho Corporation Marks 30 Years - Now Supports Over One Million Organizations

Zoho Corporation celebrated its 30th anniversary by unveiling two significant achievements in the company's journey. 

Zoho Corporation, consisting of Zoho (cloud business solutions), ManageEngine (IT management), Qntrl  (business process management)  and  TrainerCentral  (e-learning platform), is now a trusted technology provider to more than one million paying customers and more than 150 million users globally. In 2025, Zoho Corporation recorded a 32% year-on-year increase in customers and a 20% rise in revenue. The announcement was made on the sidelines of India AI Impact Summit 2026.

"Being bootstrapped, private, and built entirely in-house makes Zoho an outlier among competitors," said Sridhar Vembu, Co-founder and Chief Scientist, Zoho Corporation. "But vendors don't need our help, businesses do, which is why delivering customer value has, for 30 years, been Zoho Corporation's North Star. Before any innovation, strategy, or guiding principle becomes a product, pivot, or policy, it must first affirm the question, 'Will this help businesses?' We are incredibly grateful that companies around the world have responded so positively to our customer-first approach over the past three decades, and will continue to meet the evolving needs of businesses with powerful, scalable, and affordable solutions."

Founded in 2005, Zoho has been driven by a strong foundation in deep tech R&D, offering AI-powered, cloud-based solutions that adapt to the changing demands of modern businesses. 

Zoho has been steadily moving upmarket, especially in India, over the past few years. Its domain-specific app platforms layered with no-code and low-code capabilities have helped many enterprises bring down implementation time, achieving faster time to market, and realizing faster ROI. This platform strategy has enabled Zoho to attract some of India's most prominent enterprises, including Mercedes-Benz India, Force Motors, Joyalukkas, and Union Bank of India. The company also collaborates closely with industry partners like TCS, PwC, and Deloitte to deliver tailored, sector-specific solutions for large organizations.

ManageEngine stands as a pillar of the company's enterprise portfolio powering the IT operations and security infrastructure of organizations worldwide. Since its founding in 2002, ManageEngine has been instrumental in helping enterprises navigate successive waves of technological change, from on-premises infrastructure to cloud, hybrid environments and now AI-driven ecosystems. With AI becoming embedded into the very fabric of enterprise infrastructure, IT management is undergoing another pivotal shift. Through its unified platform approach, ManageEngine has been able to deliver a comprehensive, secure and AI-driven ecosystem covering networks, servers, security, service desks, Active Directory, applications, and endpoints. Organizations like Samsung Electronics, Omega Healthcare, Narayana Healthcare, GMR Waisl rely on ManageEngine to modernize operations while maintaining visibility and resilience.

At the India AI Impact Summit 2026, Sridhar Vembu outlined a strategic approach to navigating the AI wave across software and IT sectors in his keynote address. He said, "While the current phase of AI may automate certain aspects across business functions, long-term stability will depend on solving real customer problems and staying close to the customers. In moments of major technological disruption, as we saw during the dot-com era, agility and reinvention are essential to spring back. The right response is to begin with low-stakes experimentation, without prejudging outcomes, and to stay open minded enough to pivot when required. Over time these experiments will shape opinions, and some of those opinions will evolve into convictions that will in turn drive decisive business action. These convictions cannot be forced, these are formed through experience, and once formed, organizations must be prepared to act. At Zoho, our long-standing principle has been to invest deeply in R&D and to experiment continuously as a way of building the future."

"I am optimistic about India because we have a youthful, and optimistic population. We are not weighed down by excessive skepticism or cynicism, and that is a blessing because it allows us to experiment. When we look at innovations such as Unified Payments Interface (UPI), we realize that India is already ahead in many areas of digital technology. The same can happen in the field of AI. If we continue to experiment optimistically, find new pathways, share results openly and learn from one another, we can build a very bright future and position India among the global leaders in AI adoption," he added.

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Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...