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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% thrwayough 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: Hybrid Human-AI Teams
- Date: April 1, 2026
- Location: Online
- Cost: Free of charge
RADAR returns in 2026 with a focus on the evolving relationship between human expertise and artificial intelligence. As organizations continue to navigate the integration of AI into their workflows, this coming event will explore how successful teams are building collaborative frameworks where human insight and AI capabilities work in tandem.
The conference will bring together industry leaders and data professionals of all stripes to discuss real strategies. Attendees can expect insights into how forward-thinking organizations are approaching AI adoption, developing the skills needed to work alongside AI systems, and building cultures that embrace this technological shift.
Full agenda and speaker details will be announced soon.
The recordings from previous years are available in case you missed them: RADAR: AI Edition (2025), Radar Skills Edition, Radar Forward Edition, Radar: The Analytics Edition, and Radar: The AI Edition (2024).
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 is 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 is set up with several tracks to meet each attendee's individual goals and interests. These tracks cover 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 is a global event for developers, researchers, and business leaders focused on the underlying technology driving AI innovation. It focuses heavily on accelerated computing, deep learning, large language models, and - you guessed it - AI infrastructure. The conference provides deep technical sessions on NVIDIA CUDA, and also keynotes from industry giants, including NVIDIA CEO Jensen Huang. This is 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 is 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 brings together leaders at the forefront of the data analytics industry, who will explore real-world case studies to discover the business value of Data and Analytics.
The summit comes 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 is 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 features 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 is an intimate conference that fosters interaction between speakers and audience. It is 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 is dedicated to real-world data science applications and technical training. It is a great venue for people in all kinds of roles - data scientists, machine learning engineers, and analysts. The conference offers deep-dive tutorials in areas like machine learning, deep learning, MLOps, and NLP. The conference also has 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 is the result of the efforts of the Saudi government to transform the country’s business landscape by integrating cutting-edge technologies. The Summit will take a deep dive into how public and private organizations are responding to multiple drivers of AI and analytics.
In its seventh edition, the Summit will offer 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 is an annual conference that brings data, analytics and AI leaders 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 you can follow, insights from the community, and the chance to network with other data, analytics and AI leaders, this is 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 is a three-day event that focuses on topics in data governance, data literacy and leadership, privacy and ethics, applications of machine learning, and open-source data technologies.
Attendees range from every seniority level, from analysts to directors and vice presidents. Featured speakers are from strong data-focused organizations like AT&T, Wayfair, Google, and Nike.
The summit can be followed virtually for a reduced registration rate. The virtual pass includes access to the event platform where you can 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 is the leading global event for the data, analytics, and AI community focused on the Lakehouse Architecture and the Databricks Platform. It brings together data engineers, data scientists, and architects to discuss Apache Spark, Delta Lake, MLOps, and the convergence of data warehousing and data lakes. Attendees gain 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 is one of the largest independent conferences focused on enterprise AI adoption and delivering tangible business outcomes across specific industries. The summit features specialized tracks for industries like finance, healthcare, and retail. It is 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 is 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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Author
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.
