ACM SIGKDD & Annual KDD Conference

What ACM SIGKDD & Annual KDD Conference does

ACM SIGKDD (Special Interest Group on Knowledge Discovery and Data Mining) is a non-profit professional community operating under the Association for Computing Machinery (ACM), founded in 1998. Its core function is convening and supporting the global data mining, knowledge discovery, and large-scale analytics research community through the annual KDD Conference — the field's premier interdisciplinary forum — alongside companion publications, awards, and working groups. The organization operates with a lean staff of approximately 8 people, relying on volunteer leadership from the academic and industrial research community, and is headquartered virtually in the United States.

The underlying "product" is essentially a curated academic venue and community infrastructure: the annual KDD Conference (which has run for over two decades), proceedings published via ACM's Digital Library, recognition programs (test-of-time awards, best paper awards, doctoral dissertation awards, and innovation awards), and community resources accessible through kdd.org. There is no proprietary software platform or productized technology stack — the value is institutional, reputational, and network-based rather than technological in the commercial sense.

Revenue mechanics, where applicable, flow through ACM membership dues attributable to SIGKDD members, conference registration and sponsorship fees, industry partnership contributions, and potentially publication-related revenues handled at the parent ACM level. Detailed revenue, pricing, customer, and product data were not extractable from the source, which returned only a loader/verification page; the description above is therefore reconstructed from the limited firmographic fields available and general knowledge of how ACM SIGs operate.

Name

ACM SIGKDD & Annual KDD Conference

Website

https://kdd.org

Company type

Private

Operating status

Operating

Headcount range

1–10 employees

Short description

ACM SIGKDD is the ACM Special Interest Group for Knowledge Discovery and Data Mining, operating the annual KDD Conference — the premier international forum for data mining research — serving academic researchers, industry data scientists, and graduate students globally.

Ownership category

akta.pro rank

Product category

Professional Association & Academic Conference Services

akta.pro primary industry

Virtual/Hybrid Conference Production & Platform Management (THAHACAM)

Keywords

• Data mining research
• Knowledge discovery
• Academic conference services
• Data science community
• Machine learning research

GTM type

B2B

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Marketing or Sales, Others

Core offering

ACM SIGKDD is a nonprofit Special Interest Group within the Association for Computing Machinery that organizes and operates the Annual KDD Conference — the premier interdisciplinary venue for knowledge discovery, data mining, and large-scale analytics research. It serves the global data science research community through conferences, workshops, tutorials, publications, and community programs that connect academic researchers, industry practitioners, and students.

Differentiator

Problem solved

Functional benefit

Products and services

• Annual KDD Conference The annual flagship conference for the data mining and knowledge discovery research community, featuring peer-reviewed research presentations, keynote talks, workshops, tutorials, and an industry expo. It serves academic researchers, industry practitioners, and students in data science, machine learning, and applied analytics.

Ideal customer profiles1 record

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Expansion highlights3 records

Direct peers

• WSDM (Web Search and Data Mining): ACM-sponsored conference focused on web-scale search and data mining. Closely aligned with KDD in scope and sponsorship base, and is one of the closest topical and community peers.
• NeurIPS (Neural Information Processing Systems): The flagship machine learning research conference, also organized as a nonprofit/community effort. NeurIPS is the most direct substitute for KDD on the AI/ML research calendar, competing for top-tier submissions, sponsors, and attendees.
• ICML (International Conference on Machine Learning): Premier annual machine learning conference run by the International Machine Learning Society. Overlaps heavily with KDD on data mining methodology and draws the same mix of academic and industry researchers.
• SIGIR (ACM SIGIR Conference on Research and Development in Information Retrieval): ACM Special Interest Group conference on information retrieval. Sibling ACM SIG conference with substantial overlap on retrieval, mining, and applied data science research.
• CIKM (ACM Conference on Information and Knowledge Management): ACM conference covering information retrieval, knowledge management, and data mining. Operates in the same ACM ecosystem as SIGKDD and competes for overlapping research submissions and industry sponsors.
• IEEE ICDM (International Conference on Data Mining): IEEE's flagship data mining conference, covering very similar topics to KDD (algorithms, applications, large-scale mining). Directly competes for data mining research submissions and sponsorships.

Broad incumbents

• AAAI Conference on Artificial Intelligence: Long-running, broad-scope AI conference organized by the Association for the Advancement of AI. Includes data mining tracks alongside broader AI topics, serving an overlapping community of academic and industry participants.
• ICLR (International Conference on Learning Representations): Fast-growing, highly competitive deep learning conference. While focused on representation learning rather than data mining per se, it draws from the same research and sponsor pool as KDD.

Emerging players

• Data + AI Summit (Databricks): Large commercial data and AI conference run by Databricks. Represents the commercial, industry-oriented counterpart to academic KDD, competing for industry practitioner attention and sponsorship dollars.
• The Web Conference (formerly WWW): Premier ACM/IW3C2 conference on the World Wide Web, with strong data mining and large-scale analytics components. Overlaps with KDD on web-scale data mining research.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks4 records

Key highlights4 records

Customer concentration

• LinkedInlinkedin.com/company/sigkdd

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

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M&A

Investments

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Frequently asked questions about ACM SIGKDD & Annual KDD Conference