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Data analytics continues to be one of the fastest-growing occupations. The US Bureau of Labor Statistics estimates that the data analytics industry will grow at a rate of 36% through 2031. With that in mind, attending data analytics conferences is a great way to get up to speed with the latest trends in the industry, expand your network by meeting experts, and potentially find new job opportunities.
The goal of this article is to outline some of the most popular data analytics conferences to attend in 2026. The list includes a mix of locations and virtual availability, as well as a broad range of data analytics topics that can be relevant for data professionals of all kinds, regardless of skill level or experience. Some of these conferences focus more on hands-on workshops, while others focus more on growing scalable business solutions and strategic decisions to consider while building a data-focused organization.
1. Radar 11x
- Date: October 1, 2026
- Location: Online
- Cost: Free of charge
Everyone stops at 10. RADAR turned AI up to 11. This free virtual event was about turning weeks of work into days: which AI projects to kill, why many AI-proof skills aren't technical, and what engineering looks like once agents write your code.
The day featured eight sessions from speakers at Google, AWS, Microsoft, Cloudera, Honeywell, DataRobot, Fifth Third Bank, and more, with dedicated blocks for the Americas, Europe, and the Middle East & Africa. Sessions covered escaping AI-pilot purgatory, the new developer workflow now that agents write code, AI-proof career skills, and responsible AI governance, closing with a live founder AMA.
Missed it? Watch the Radar 11x recordings, along with earlier editions: RADAR: AI Edition (2025), Radar Skills Edition, Radar Forward Edition, Radar: The Analytics Edition, and Radar: The AI Edition (2024).
Watch the Recordings
Learn how to turn weeks of work into days.
2. Gartner Data & Analytics Summit US
- Dates: March 9-11, 2026
- Location: Orlando, FL, US
- Format: onsite and virtual
- Cost: $4,925 (early bird from $4,475)
The Gartner Data & Analytics Summit was a unique gathering for chief data analytics officers and data and analytics leaders aspiring to transform their organizations through the power of data, analytics, and AI.
The conference was set up with several tracks to meet each attendee's individual goals and interests. These tracks covered a wide range of topics, including Leadership, Data Management, Analytics, Business Strategy, Machine Learning, and Governance and Privacy.
3. NVIDIA GTC AI Conference
- Dates: March 16–19, 2026
- Location: Hybrid - San Jose McEnery Convention Center, CA, US
- Format: onsite and virtual
- Cost: TBC (Historically starts around $2,172 for conference pass)
The NVIDIA GTC AI Conference was a global event for developers, researchers, and business leaders focused on the underlying technology driving AI innovation. It focused heavily on accelerated computing, deep learning, large language models, and - you guessed it - AI infrastructure. The conference provided deep technical sessions on NVIDIA CUDA, and also keynotes from industry giants, including NVIDIA CEO Jensen Huang. This was the go-to conference for understanding the hardware and software stack required to build and scale modern AI.
4. CDAO Canada
- Dates: March 25-26, 2026
- Location: Toronto
- Format: onsite
- Cost: 499 CAD
CDAO Canada was an exceptional two-day gathering conceived to explore the latest advancements, groundbreaking insights, and transformative possibilities in the dynamic realm of data and analytics. With a unique mix of academia and industry, CDAO brought together leaders at the forefront of the data analytics industry, who explored real-world case studies to discover the business value of Data and Analytics.
The summit came with more than 30 speakers, roundtable discussions, and multiple networking possibilities, including 1:1 meetings and connection sessions.
5. Analytics and Data Summit
- Dates: April 14-16, 2026
- Location: Redwood Shores, CA
- Format: onsite
- Cost: $549 (early bird pricing at $399)
The Analytics and Data Summit 2026 was an annual event organized by the Analytics and Data Oracle User Community, a group made up of the top Oracle BI, data warehouse, advanced analytics, big data, and spatial and graph experts.
The three-day summit featured keynotes by industry experts, educational sessions by practitioners and developers, hands-on labs, and networking events. Compared to other rather big events, where networking opportunities and direct communication with top experts may be limited, the Analytics and Data Summit was an intimate conference that fostered interaction between speakers and audience. It was a great conference to build your network and make lasting connections in the industry.
6. Open Data Science Conference (ODSC) East
- Dates: April 28-30, 2026
- Location: Hynes Convention Center, Boston, MA, US
- Format: onsite and virtual
- Cost: Starting at $199 (Virtual Pass) up to $1,099 (In-Person Platinum Pass)
The Open Data Science Conference (ODSC) East was dedicated to real-world data science applications and technical training. It was a great venue for people in all kinds of roles - data scientists, machine learning engineers, and analysts. The conference offered deep-dive tutorials in areas like machine learning, deep learning, MLOps, and NLP. The conference also had a big focus on tools, algorithms, and solutions used by top organizations.
7. Middle East Enterprise AI & Analytics Summit
- Dates: April 30, 2026
- Location: Riyadh, Saudi Arabia
- Format: onsite
- Cost: Free
The Middle East Enterprise AI & Analytics Summit was the result of the efforts of the Saudi government to transform the country's business landscape by integrating cutting-edge technologies. The Summit took a deep dive into how public and private organizations are responding to multiple drivers of AI and analytics.
In its seventh edition, the Summit offered impactful keynotes, moderated live discussions on executive strategies and best practices on AI and data analytics, and many networking opportunities.
8. Gartner Data & Analytics Summit UK
- Dates: May 11-13, 2026
- Location: London, UK
- Format: onsite
- Cost:€4,425 (early bird pricing at €3,750)
The Gartner Data & Analytics Summit UK was an annual conference that brought data, analytics and AI leaders together to uncover the latest in data management, data trends, governance, data architecture, and more to deliver value for the future.
With a global team of on-site experts, various tracks to follow, insights from the community, and the chance to network with other data, analytics and AI leaders, this was one of the highlights of the year.
9. World Data Summit
- Dates: May 20-22, 2026
- Location: Corinthia St George's Bay, Malta
- Format: onsite and virtual
- Cost: €2,050.95
The World Data Summit was a three-day event that focused on topics in data governance, data literacy and leadership, privacy and ethics, applications of machine learning, and open-source data technologies.
Attendees ranged from every seniority level, from analysts to directors and vice presidents. Featured speakers were from strong data-focused organizations like AT&T, Wayfair, Google, and Nike.
The summit could be followed virtually for a reduced registration rate. The virtual pass included access to the event platform where you could watch main agenda presentations, check exhibition areas, and connect and chat with participants.
10. Databricks Data + AI Summit
- Dates: June 15-18, 2026
- Location: San Francisco, CA, US
- Format: Onsite
- Cost: TBC (Historically, early-bird passes start around $1,500)
The Databricks Data + AI Summit 2026 was the leading global event for the data, analytics, and AI community focused on the Lakehouse Architecture and the Databricks Platform. It brought together data engineers, data scientists, and architects to discuss Apache Spark, Delta Lake, MLOps, and the convergence of data warehousing and data lakes. Attendees gained practical knowledge and advanced strategies required to build and deploy high-value, AI-powered solutions at scale using the latest open-source and proprietary tools.
11. Ai4 2026
- Dates: August 4-6, 2026
- Location: The Venetian, Las Vegas, NV, US
- Format: Onsite
- Cost: Starting at $1,395 (Standard Pass)
Ai4 iwas one of the largest independent conferences focused on enterprise AI adoption and delivering tangible business outcomes across specific industries. The summit featured specialized tracks for industries like finance, healthcare, and retail. It was designed for business leaders, C-suite executives, and practitioners interested in the strategic implementation of Generative AI, machine learning, and automation to drive efficiency, revenue, and competitive advantage. The focus was on practical case studies and accelerating the time-to-value for AI initiatives.
12. Big Data Conference Europe
- Dates: November 24-27, 2026.
- Location: Hybrid - Vilnius, Lithuania, and available online.
- Format: onsite and virtual
- Cost: €550-€700
Big Data Conference Europe is a four-day event that focuses on technical discussions in the areas of Big Data and analytics, Data Science, Machine Learning, and AI. The 9th edition of the conference comprises a series of keynote sessions and hands-on workshops, aimed at bringing together developers, IT professionals, and users to share their experiences, discuss best practices, and describe use cases and business applications related to their successes. The exciting agenda includes important topics in AI, deep learning, and predictive analytics.
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I am a freelance data analyst, collaborating with companies and organisations worldwide in data science projects. I am also a data science instructor with 2+ experience. I regularly write data-science-related articles in English and Spanish, some of which have been published on established websites such as DataCamp, Towards Data Science and Analytics Vidhya As a data scientist with a background in political science and law, my goal is to work at the interplay of public policy, law and technology, leveraging the power of ideas to advance innovative solutions and narratives that can help us address urgent challenges, namely the climate crisis. I consider myself a self-taught person, a constant learner, and a firm supporter of multidisciplinary. It is never too late to learn new things.
