CData Software Ranks Among America's Fastest-Growing Companies on Inc. 5000 List

CData Software Ranks on the Inc. 5000 List

CData Software has made a significant mark by securing the impressive rank of No. 2,565 on the 2026 Inc. 5000 list, a prestigious recognition of America's fastest-growing private companies. This annual list celebrates the most successful independent businesses, highlighting the importance of innovation, job creation, and economic impact driven by entrepreneurial spirits.

Founded to enhance data accessibility, CData serves as a critical layer for artificial intelligence, enabling businesses to manage how AI interacts with their data. Following three consecutive years on the Inc. 5000 list, the company's CEO, Amit Sharma, underscores a notable evolution in enterprise requirements. "Enterprises are now focusing on governing every interaction between AI and their data, ensuring all interactions are correct and traceable," he explained. This shift has been transformative for CData, guiding them to refine their offerings, particularly through their managed Model Context Protocol (MCP) platform—CData Connect AI.

The 2026 Inc. 5000 list not only confirms CData's robust growth trajectory but also mirrors broader industry changes. The current business environment is witnessing a surge of companies that are challenging traditional growth metrics; these companies are involved in various sectors, including advanced manufacturing, healthcare, AI, and consumer products. Across the 5,000 companies included in this prestigious ranking, the median revenue growth rate over three years was an astonishing 130%, reflecting the collective addition of over 627,000 jobs to the U.S. economy in just the past three years.

CData’s achievement signifies a clear alignment with its commitment to adapt and respond effectively to market demands, especially within the AI domain. Notably, many AI projects fail to advance past the production stage, often due to a lack of governance and clarity around data access. CData addresses this critical bottleneck, providing enterprises with the controls they need to maximize their AI initiatives successfully.

Beyond heavy enterprise focus, CData's continued success is reflected in recognition from third parties, such as its appearance in the 2025 Gartner Magic Quadrant for Data Integration and Forbes' 2026 list of America's Best Startup Employers. This consistent acknowledgment reaffirms CData's position as a leader at the intersection of data management and AI integration.

As reflected in the words of Mike Hofman, the editor-in-chief of Inc., each company featured on the Inc. 5000 list showcases resilience, creativity, and a customer-first mindset which contribute to an enduring economic impact. These businesses push the frontiers of innovation while nurturing significant growth that positions them as integral parts of the nation’s economy.

To qualify for the Inc. 5000 list, companies must meet specific criteria, including being a U.S.-based, privately held, for-profit entity generating revenue by March 31, 2022, with a minimum revenue requirement that tracks upward as the years progress. This rigorous selection process underscores the significance of CData's ranking as a testament to its business acumen and operational effectiveness.

Looking ahead, CData Software remains dedicated to empowering AI workloads through connectivity and control across diverse enterprise systems, proving itself a stalwart in the data layer landscape. The company is positioned to play a crucial role in the ongoing evolution of enterprise AI, striving toward innovations that promise improved accuracy and actionable insights. To learn more about CData's offerings and explore their impact on the AI landscape, visit www.cdata.com.

For those interested in the full Inc. 5000 list and company profiles, you can visit the official Inc. website at www.inc.com/inc5000. Through moments like these, CData not only etches its name in industry leadership but significantly contributes to redrawing pathways for future innovation in data management and AI.