Core Insights - Databricks has completed over $7 billion in investment, including approximately $5 billion in equity financing at a valuation of $134 billion and around $2 billion in additional debt capacity [1] - The company reported a revenue run-rate exceeding $5.4 billion in its fourth quarter, reflecting over 65% growth year-over-year [1] Investment Allocation - The newly acquired capital will be directed towards initiatives such as Lakebase, a serverless Postgres service for AI workloads, and Genie, a conversational assistant for querying company data [2] - Funds will also support AI research, strategic acquisitions, and provide liquidity for employees [2] Investor Participation - The financing round included participation from both new and existing investors, with notable involvement from JPMorgan Chase, which expanded its role through its Strategic Investment Group [2][3] - Other participants included Glade Brook Capital, Goldman Sachs Alternatives, Morgan Stanley, Microsoft, and various financial institutions [3] Financial Performance - Databricks achieved positive free cash flow over the past year, with its AI product line reaching a revenue run-rate of $1.4 billion and a net retention rate exceeding 140% [4] - The company has over 800 customers generating more than $1 million annually, with over 70 customers generating upwards of $10 million annually [4] Future Developments - The company plans to further develop Lakebase as a serverless Postgres database to assist clients in building data and AI applications [4] - Investment in Genie aims to enhance its natural-language capabilities for better data and AI access across businesses [5]

By Jaspreet Singh, Pritam Biswas and Krystal Hu Feb 9 (Reuters) - Databricks said on Monday it has completed a fundraising of about $5 billion at a $134 billion valuation, as the data analytics software company ​bolsters its balance sheet to invest in artificial intelligence products focusing on enterprise customers. One of ‌the most valuable privately held companies, Databricks also announced about $2 billion in new debt capacity, as its annualized revenue run-rate rose 65% to $5.4 ‌billion in the fou ...

Strategy - Public funds increased allocation to optical communication (+2.1 pct), semiconductor equipment (+0.3 pct), and packaging/testing, while reducing allocation to chip design (-1.3 pct), gaming (-0.8 pct), and advertising (-0.3 pct) in Q4 2025[13] - The market saw a slight decrease in the TMT sector's share of active equity funds from 39.8% in Q3 2025 to 38.0% in Q4 2025[13] Electronics - The PCB industry is expected to maintain high growth due to its heavy asset nature, with capacity release and product structure optimization driving non-linear performance improvements[33] - Data center construction is recovering, significantly increasing storage requirements for AI servers, leading to an optimistic outlook for storage prices in 2026[34] Computing - The emergence of end-side agents and data infrastructure is driving AI technology towards system-level collaboration and deeper industry integration[35] Media - The competition for AI traffic entry is intensifying, with major companies accelerating monetization in advertising and e-commerce, particularly during the Spring Festival[36] - OpenAI is preparing for an IPO in Q4 2026, with a projected valuation between $750 billion and $830 billion after the latest funding round[36] Robotics - The humanoid robot industry is transitioning from concept validation to commercialization, with companies showing growth potential in key components and solutions[37] - Investment opportunities are emerging in incremental component markets, driven by the evolving aesthetic preferences of the robotics market[37] Automotive - Zeekr 9X received an L3 testing license, while Tesla has begun operating a driverless Robotaxi service in Austin[38] - Geely and Jianghuai Automotive are recommended for their low valuation and strong order performance, with Geely's expected PE ratio over 6 times indicating potential for rebound[38]

策略研究 证 券 研 究 报 告 【华创证券人工智能研究中心】 公募增配光通信、半导体设备、封测，减配芯片设 计、游戏、广告——多行业联合人工智能 2 月报 策略月报 2026 年 02 月 04 日 华创证券研究所 证券分析师：姚佩 邮箱：yaopei@hcyjs.com 执业编号：S0360522120004 证券分析师：耿琛 邮箱：gengchen@hcyjs.com 执业编号：S0360517100004 证券分析师：岳阳 电话：021-20572543 邮箱：zhangchenghang@hcyjs.com 执业编号：S0360519070003 邮箱：yueyang@hcyjs.com 执业编号：S0360521120002 证券分析师：吴鸣远 邮箱：wumingyuan@hcyjs.com 执业编号：S0360523040001 证券分析师：张程航 2026-01-26 《【华创策略】再通胀主线：五朵金花——策略周 聚焦》 2026-01-25 证监会审核华创证券投资咨询业务资格批文号：证监许可（2009）1210 号 证券分析师：范益民 电话：021-20572562 邮箱：fanyimin@ ...

Core Insights - Databricks plans to raise over $4 billion in a Series L funding round, valuing the company at $134 billion [1] - The company achieved a revenue run-rate exceeding $4.8 billion in Q3, with a year-on-year growth of over 55% [1] - Databricks has generated positive free cash flow over the past 12 months since December 2024 [1] Funding Details - The Series L investment is led by Insight Partners, Fidelity Management & Research Company, and JP Morgan Asset Management, with additional investors including Andreessen Horowitz and BlackRock [2] - The funding will support product development in three strategic areas: Lakebase, Databricks Apps, and Agent Bricks [2] Product Development Focus - The funding aims to assist customers in developing AI applications and agent-based tools using proprietary data, positioning Lakebase as the system of record [3] - Databricks Apps allows organizations to quickly and securely build and deploy data and AI applications, while Agent Bricks simplifies the creation and scaling of high-quality agents [4] - Lakebase is a serverless PostgreSQL database designed to support AI-era workloads [4] Market Position and Growth - Databricks co-founder and CEO Ali Ghodsi emphasized the rapid transformation in how enterprises build intelligent applications, driven by generative AI and new coding paradigms [5] - Lakebase has attracted thousands of customers in its first six months, generating revenue growth at double the pace of the data warehousing product [5] - The Data Warehousing product reached a revenue run-rate of over $1 billion in less than four years, while AI products also achieved a revenue run-rate of over $1 billion [6] - Databricks maintains a net retention rate above 140%, with over 700 customers generating an annual revenue run-rate exceeding $1 million [6]

Core Insights - Databricks has successfully raised over $4 billion in a Series L funding round, achieving a valuation of $134 billion, which is a 34% increase from its previous valuation of $100 billion just three months ago [1] - The company is focusing on developing products that cater to the AI revolution, including a database for AI agents, an AI agent platform, and applications for building and deploying data and AI solutions [2] Funding and Valuation - This funding round marks Databricks' third major venture fundraising effort within a year, reflecting strong investor confidence in the company's ability to leverage data for AI applications [4] - The company was valued at $60 billion around the same time last year, indicating significant growth in investor belief regarding its potential [4] Revenue Growth - Databricks reported a run-rate revenue exceeding $4.8 billion, which represents a 55% increase from the previous year, with over $1 billion of that revenue coming from AI products [4] Product Development - The company is heavily investing in its AI agent database, Lakebase, which is based on the open-source Postgres database, and aims to support corporate developers in their projects [3] - Databricks' AI agent platform, Agent Bricks, is designed to assist businesses in building and deploying AI agents that utilize their data [3] Strategic Partnerships - Databricks has secured significant deals worth hundreds of millions with AI labs such as Anthropic and OpenAI to integrate their models into its enterprise products [3] Job Creation and Expansion - The new funding will be utilized to create thousands of new jobs across Asia, Europe, and Latin America, as well as to recruit more AI researchers [6] Investor Participation - The funding round was led by notable firms including Insight Partners, Fidelity, and J.P. Morgan Asset Management, with participation from several other prominent investors [7]

Core Insights - Databricks has achieved a valuation exceeding $100 billion, joining the ranks of elite private companies like SpaceX and OpenAI, driven by its position at the intersection of data and AI trends [2][3] - The company serves over 20,000 organizations, including more than 60% of the Fortune 500, indicating strong demand for its Data Intelligence Platform [3] Company Overview - Founded in 2013, Databricks has transitioned from a startup to a significant player in the tech industry, focusing on AI-powered applications that enhance operational efficiency and revenue generation [3] - Its unified Data Intelligence Platform integrates with existing cloud storage, utilizing a "lakehouse" architecture to streamline data, analytics, and AI workloads [3] Business Momentum - Databricks reported a revenue run-rate of $4 billion in Q2, reflecting over 50% year-over-year growth [6] - The company’s AI products have surpassed a $1 billion revenue run-rate, and it has achieved positive free cash flow over the past 12 months [6] - The Net Retention Rate (NRR) is above 140%, indicating that existing customers are significantly increasing their spending [6] Valuation Insights - With a $4 billion annual run-rate and a $100 billion valuation, Databricks is trading at approximately 25 times forward revenue [7] - If Databricks continues to grow revenues at a conservative 40% next year, a 25x multiple could imply a potential market cap of $140 billion [7] Competitive Landscape - Databricks is positioned favorably against competitors like Snowflake, which is growing at a slower rate of 27% [15] - The company has launched or expanded partnerships with major players like Microsoft and Google Cloud, enhancing its relevance in the AI and cloud ecosystem [4] Future Prospects - The anticipated IPO of Databricks is expected to be one of the most-watched tech listings, with strong growth and a large addressable market working in its favor [18] - However, the company faces challenges in sustaining investor confidence at its current valuation and executing across new verticals [18]

Core Insights - Databricks has achieved a valuation of $100 billion, making it the fourth-largest AI unicorn globally, following OpenAI, ByteDance, and xAI [1] - The company has an annual revenue of $3.7 billion and serves over 15,000 customers, with 60% of Fortune 500 companies utilizing its products [1][12] - The company's growth is attributed to its innovative "lakehouse" architecture, which integrates data lakes and data warehouses, enhancing data management for AI applications [4][6] Company Background - Databricks was founded by a team of PhD graduates from the University of California, Berkeley, including co-founder Reynold Xin [2][3] - The company initially struggled with monetization, leading to the appointment of Ali Ghodsi as CEO, who transformed the company's management approach [3][11] Business Strategy - Databricks is heavily investing in AI, planning to spend $1.5 billion from 2022 to 2025 to enhance its AI capabilities [10] - The company has made significant acquisitions, including spending $1.3 billion on MosaicML and $1 billion on Neon, to bolster its AI development services [11][12] - Databricks has introduced new services like Agent Bricks and Lakebase, aimed at simplifying AI model creation and enhancing database performance [12] Financial Performance - The company's revenue from generative AI products has increased by 300% year-over-year as of November 2024 [12] - Databricks expects its annual revenue to reach $3.7 billion by July 2024, reflecting a 50% year-over-year growth [12] Market Position and Competition - Databricks is facing intense competition from data giants like Snowflake and Oracle, as well as cloud service providers such as Microsoft, Google, and AWS [13][15] - Despite its strong revenue growth, Databricks' market position is still slightly behind Google and Snowflake in terms of scale [15] - The company is under pressure to demonstrate the value of its new Agent services to investors, as these offerings are still in early development stages [15]

Core Viewpoint - Databricks is raising $1 billion in a new funding round at a valuation of $100 billion, focusing on advancing its AI Agent database and platform [2][3]. Funding and Financials - The recent funding round is led by Thrive and Insight Partners, with Databricks having raised approximately $20 billion since its inception in 2013 [2]. - The company completed a record $10 billion financing in January at a valuation of $62 billion, which was later surpassed by OpenAI's $40 billion financing in March [2]. Product Development - Databricks plans to invest heavily in its AI Agent database, named Lakebase, which was launched in June and is based on the open-source Postgres database [4]. - The total addressable market (TAM) for the database market is estimated at $105 billion, with a significant portion of databases now being created by AI agents, increasing from 30% to 80% in one year [4][5]. Competitive Advantage - The differentiation of Lakebase from competitors like Supabase lies in its "separation of compute and storage" architecture, allowing for cost-effective database creation [6]. - The second focus of investment is the AI Agent platform, Agent Bricks, which aims to provide reliable solutions for everyday business tasks rather than pursuing superintelligent AI [6][7]. Talent Acquisition - Databricks is also raising additional funds to compete for AI talent, acknowledging the high costs associated with hiring in this field [8].

Investment Interest & Opportunities - The company received significant investor outreach following the Figma IPO, indicating strong external interest [1] - The company identifies Agent Bricks (for aentic AI) and Lakebase (for building AI databases) as two major investment opportunities requiring substantial funding [1][3] Investor Concerns & Focus - Investors' primary concern revolves around the viability and effectiveness of aentic AI in automating corporate tasks [2] - Investors are keen to see a return on investment (ROI) from AI initiatives, reflecting the substantial capital allocation towards AI [3] Current Status & Outlook - The company acknowledges that the widespread deployment of AI agents for task automation is still in its early stages [4] - The company emphasizes that it's "early innings" regarding the pervasive adoption and impact of these AI agents across companies [4] Funding & Financial Aspects - Private equity and venture capital firms have expressed interest in investing significant capital, such as $300 million, into the company [2]