Starbucks Also Adopted 'DataSpace'... Achieves Annual Recurring Revenue of 1 Billion Dollars

Data Platform Operator 'Open Survey'
Surpasses 1 Billion KRW ARR in 10 Months
Supporting Corporate Decision-Making through Data Collection and More

Open Survey announced on the 7th that its subscription-based research software 'DataSpace' achieved an annual recurring revenue (ARR) of 1 billion KRW within 10 months of its launch.

DataSpace, a B2B SaaS (Business-to-Business Software as a Service) launched by Open Survey, which operates a consumer data platform, reached an ARR of 1 billion KRW in December last year. This is a significant milestone in the subscription service industry, approaching the 'ARR 1 million USD (approximately 1.38 billion KRW) achievement.'

Typically, reaching an ARR of 1 million USD is considered a validation of customer acquisition strategies and readiness for full-scale growth.

DataSpace is a research and experience analysis platform that helps companies improve their products, services, and business based on their customers' or users' experiences. It offers survey editing, data collection, real-time analysis, and visualization features to support corporate decision-making. Its clients include Starbucks, SK Magic, and Yuhan-Kimberly.

A company representative stated, "The core factor behind the rapid success was focusing on product development tailored to corporate needs, based on over 10 years of accumulated expertise and industry know-how."

Open Survey has set a goal to achieve an ARR of 10 billion KRW by 2026. Based on product advancement, it is preparing aggressive sales strategy planning and expansion into overseas markets. To this end, it will focus on strengthening AI-based data analysis capabilities and expanding multilingual support.

Hwang Heeyoung, CEO of Open Survey, said, "Achieving an ARR of 1 billion KRW within 10 months of launch confirms the market potential of DataSpace," adding, "We will continuously enhance the product to become the data infrastructure for companies aiming to internalize research and data analysis capabilities."