Fractal Reports 19% Revenue Growth Amid Challenges in TMT Sector, Eyes Enterprise AI Boom
Fractal bets big on enterprise AI despite TMT weakness dragging revenue growth
The Economic TimesImage: The Economic Times
Fractal, an analytics firm, reported a 19% revenue growth for the year despite a 19% decline in its technology, media, and telecom (TMT) vertical. The company is optimistic about the demand for enterprise artificial intelligence, particularly in banking and healthcare, where it has seen growth rates of 40% and 80%, respectively.
- 01Fractal's overall revenue grew by 19% year-over-year.
- 02The TMT sector faced a 19% decline due to client-specific issues.
- 03Excluding TMT, Fractal's growth was 27% for the year.
- 04Banking and financial services are growing at 40%, while healthcare and life sciences are at 80%.
- 05Fractal's net revenue retention rate is 112%, indicating strong client relationships.
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Fractal, an analytics leader, reported a 19% revenue growth for the fiscal year, despite facing challenges in its technology, media, and telecom (TMT) vertical, which saw a 19% decline. Co-founder Srikanth Velamakanni attributed this downturn to client-specific issues, including a major client's reduced engagement following a joint venture and another client's restructuring. Excluding TMT, Fractal experienced a robust 27% growth, particularly in sectors like banking and healthcare, where growth rates reached 40% and 80%, respectively. The company highlighted the increasing demand for enterprise artificial intelligence, which is expected to drive future growth, especially in industries focused on cognitive and process-intensive work. Fractal's net revenue retention rate stands at 112%, showcasing strong client loyalty and increased spending. While management did not provide specific revenue or margin guidance for FY27, they remain confident in the enterprise AI market's potential, despite acknowledging possible macroeconomic challenges ahead.
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Fractal's growth in enterprise AI could lead to job creation in sectors like banking and healthcare, as companies increasingly adopt AI solutions to improve efficiency.
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