Core Insights - Real-time analytics has become a dominant technology priority in enterprise IoT deployments, with 82% of companies currently using or planning to implement real-time data processing capabilities [1][2] Group 1: Industry Trends - The research conducted by Omdia, covering ten countries and over 600 companies, indicates a growing focus on extracting immediate value from IoT data streams, prioritizing technologies that enable rapid decision-making and efficient operational responses [1] - The strong applications of 5G and edge computing are laying the foundation for real-time analytics, marking a shift from mere data collection to process automation [1] Group 2: Adoption of AI and Machine Learning - Over 75% of enterprises are integrating additional services such as artificial intelligence and machine learning to handle the vast amounts of data generated from IoT deployments, facilitating a transition from passive response to proactive prediction [1] - The deep integration of edge computing and AI is reshaping how enterprises deploy IoT, with 95% of surveyed companies expecting measurable benefits from IoT within the next two years [1] Group 3: Future Outlook - As edge computing infrastructure continues to improve and AI algorithms advance, companies will be able to unlock greater value from IoT investments through intelligent, autonomous, and real-time optimized systems [2]

Core Insights - Investors have profited billions from database software companies Snowflake and Databricks, and now venture capitalists are closely watching ClickHouse, which is seen as a potential challenger to existing giants amid rising demand for database software due to the AI boom [1][3] - ClickHouse is reportedly negotiating a funding round at a $6 billion valuation, three times its valuation from four years ago, with Khosla Ventures expected to lead the round, potentially raising hundreds of millions [1][2] Company Overview - ClickHouse's software stores and manages digital event data, which is crucial for AI developers. The software has been used by programming assistants like Poolside to process data and evaluate AI accuracy [1] - The core software of ClickHouse is open-source, but the company charges enterprises for managed cloud services based on their functional needs and resource usage. As of the end of Q1, ClickHouse's annual recurring revenue was approximately $70 million [2] Competitive Landscape - Despite revenue growth, ClickHouse's new valuation will result in a forward revenue multiple significantly higher than its competitors. The company targets large enterprises, similar to Snowflake, which generated $3.6 billion in revenue in its most recent fiscal year [3] - ClickHouse is noted for its superior real-time analytics capabilities compared to Snowflake, with some investors highlighting its speed and cost-effectiveness as advantages [3] - ClickHouse also competes with companies like Elastic and Datadog, which focus on real-time event analytics [4] Company History - ClickHouse was initially developed by Alexey Milovidov during his tenure at Yandex, with the first version released in 2012 to power Yandex Metrica. It became an open-source project in 2016 [4] - In September 2021, Yandex spun off ClickHouse into an independent company, raising $50 million in Series A funding led by Index Ventures. Later that year, it secured $250 million in Series B funding at a $2 billion valuation, led by Coatue Management and Altimeter Capital [5]