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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.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...