Business Economy


Celonis places India alongside North America in global growth strategy

Bengaluru, May 18 (UNI ) In a significant endorsement of India's growing dominance in the global artificial intelligence economy, global process intelligence giant Celonis has elevated India to a standalone strategic market on par with North America, Europe and Asia-Pacific, describing the country as the emerging "global powerhouse" for Enterprise AI.
The Germany- and US-headquartered company said India now occupies a central position in its global growth strategy as multinational corporations increasingly drive AI-led enterprise transformation from their Indian operations, GCCs and technology ecosystems.
"India is a very unique market. In fact, we have elevated it to a market position similar to North America, EMEA, APAC and India," Celonis Chief Growth Officer Malhar Kamdar told UNI in an interaction here.
Calling India "the epicentre of process intelligence", Kamdar said the country's unique convergence of over 2,000 Global Capability Centres (GCCs), a massive technology workforce, leading IT services firms and rapidly expanding AI adoption made it unlike any other market globally.
"Many global enterprise AI transformations are now being powered from India either with GCCs, with partners, or a combination of both," he said.
The remarks come amid intensifying global competition among technology companies to capture the rapidly expanding Enterprise AI market, with India increasingly emerging as both a talent hub and a strategic execution centre for global AI deployments.
Celonis, valued at nearly USD 13 billion, recently unveiled its next-generation "Celonis Context Model" platform, which the company says addresses one of the biggest weaknesses in enterprise AI systems — the absence of operational business context.
"AI is missing something. It has blind spots because it doesn't understand how the business really works," Kamdar said.
He said enterprises worldwide were investing billions into AI but struggling to generate meaningful returns because AI systems lacked visibility into real-world business operations, workflows and decision-making structures.
The new platform aims to provide AI agents with operational intelligence by integrating process data, business rules and decision intelligence into a unified architecture capable of supporting enterprise-scale AI deployment.
The company also acknowledged growing concerns over AI hallucinations, unreliable outputs and accountability risks in enterprise deployments.
"We've all seen the hallucinations," Kamdar said, adding that AI systems often fail because they operate without complete business context or access to full enterprise data.
However, he maintained that companies deploying AI systems would ultimately remain responsible for operational decisions generated using such technologies.
"Ultimately the company is responsible for deploying technology," he said, while stressing that advanced AI systems would continue to require human supervision.
On fears that AI and automation could lead to large-scale job losses, Kamdar argued that technology historically transformed skill requirements rather than eliminating human roles entirely.
"AI is a force multiplier for humans," he said, adding that enterprises were increasingly using AI to clear long-pending operational inefficiencies and improve productivity.
Celonis entered India in 2021 and currently employs over 300 professionals in the country, with headcount doubling over the past year. Kamdar said the company would continue investing in talent, infrastructure and technology capabilities in India, though he declined to disclose investment figures.
The executive also underlined the strategic role being played by India-based consulting firms, service providers and technology partners in the company's global growth model.
Asked about profitability and a potential IPO, Kamdar declined to reveal financial details but described the company as "financially strong" and focused on accelerating growth and innovation.
Celonis has recently announced the acquisition of Ikigai Labs to strengthen its predictive AI and decision intelligence capabilities as part of its broader enterprise AI push.
Despite growing speculation over a future public listing, Kamdar said the company had not fixed any IPO timeline and remained focused on expanding its leadership position in the rapidly evolving Enterprise AI sector.
Industry observers say the company's decision to place India alongside its biggest global strategic regions reflects the country's rapidly expanding importance in the global AI economy, particularly in GCC-led enterprise transformation, AI services and digital operations management.
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