HEAVY.AI (formerly OmniSci) Named Top-Tier Software Vendor by APPS RUN THE WORLD in the APPS and CLOUD TOP 500 Market Report

1414 HEAVY.AI (formerly OmniSci)

HEAVY.AI (formerly OmniSci) Strengths, Domain Expertise, and Key Differentiators

HEAVY.AI stands out for its GPU-accelerated analytics platform, enabling unparalleled data insights. Its forte lies in harnessing the immense parallel computing power of GPUs and CPUs, facilitating organizations to fully exploit their data potential. The platform's availability across cloud and on-premise environments provides users with unparalleled flexibility.

HEAVY.AI (formerly OmniSci) Recent Developments

HEAVY.AI has broadened its collaboration with NVIDIA, welcoming Bain & Company and Maxar to enhance tools for communication service providers (CSPs).

This extended partnership aims to streamline antenna placements, optimize signal coverage, and improve network deployment efficiency. Additionally, the release of version HEAVY 7.0, introduces cutting-edge machine learning capabilities empowering telecommunication and utility sectors. This latest release enables in-database predictive modeling and diverse scenario simulations for valuable insights.

HEAVY.AI (formerly OmniSci) Mergers and Acquisitions (M&A) Activities

HEAVY.AI has attracted substantial funding from prominent venture capital firms and strategic investors, contributing significantly to its growth trajectory. Notable investors like Google Ventures, In-Q-Tel, NEA, NVIDIA, Tiger Global Management, Vanedge Capital, and Verizon Ventures have actively supported the company. These investments have facilitated innovation drives, the expansion of the product portfolio, and accelerated overall growth for HEAVY.AI.

HEAVY.AI (formerly OmniSci) Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying HEAVY.AI (formerly OmniSci) applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of HEAVY.AI (formerly OmniSci) and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified HEAVY.AI platform customers.

HEAVY.AI (formerly OmniSci) Key Enterprise and Cloud Applications

HEAVY.AI platform

HEAVY.AI (formerly OmniSci) Revenues, $M:

Type/Year20222023YoY Growth, %
Total Revenues, $M Subscribe Subscribe Subscribe
Enterprise Applications Revenues, $M Subscribe Subscribe Subscribe
Cloud Applications Revenues, $M Subscribe Subscribe Subscribe

* Enterprise Applications Revenues = License + Support & Maintenance + SaaS
** All revenue figures are estimates based on public records, Cloud and Non-Cloud business models in Apps Run The World's vendor database, and annual survey results including vendor feedback.

HEAVY.AI (formerly OmniSci) Revenue Breakdown By Type, $M:

TypeLicenseServicesHardwareS&MSaaSPaaSIaaSOtherTotal
% of Total Revenues Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe 100%
Revenues, $M Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe Subscribe

HEAVY.AI (formerly OmniSci) Revenues By Region, $M

Region% of Total Revenues2023 Total Revenues, $M2023 Enterprise Applications Revenues, $M2023 Cloud Applications Revenues, $M
Americas Subscribe Subscribe Subscribe Subscribe
EMEA Subscribe Subscribe Subscribe Subscribe
APAC Subscribe Subscribe Subscribe Subscribe
Total Subscribe Subscribe Subscribe Subscribe

HEAVY.AI (formerly OmniSci) Direct vs Indirect sales

RegionDirect SalesIndirect SalesTotal
Type % Subscribe Subscribe Subscribe
Revenues, $M Subscribe Subscribe Subscribe

HEAVY.AI (formerly OmniSci) Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified HEAVY.AI (formerly OmniSci) Customers


No. of HEAVY.AI (formerly OmniSci) Customers: x

No. of HEAVY.AI (formerly OmniSci) Enterprise Applications Customers: x

No. of HEAVY.AI (formerly OmniSci) Cloud Customers: x

No. of HEAVY.AI (formerly OmniSci) Cloud Subscribers: x


With nearly 4,000 users spanning corporate, academic, governmental, and scientific domains globally, HEAVY.AI has gained substantial traction across industries such as oil & gas, automotive, retail, utilities, and governments worldwide. Notable customers include Global Telco, Tutela, Skyhook, Charter, Pfizer, and Pactriglo, showcasing its broad industry applicability.

HEAVY.AI (formerly OmniSci) Market Opportunities, M&A and Geo Expansions

The expansion of HEAVY.AI's offerings through the introduction of HEAVY.AI Free, a no-cost version of its analytics platform, represents a strategic move to broaden accessibility.

HEAVY.AI (formerly OmniSci) Risks and Challenges

The recent leadership transition with new appointments in CEO and CTO roles presents an opportunity for market strategy revamp but also poses alignment challenges. Ensuring alignment between leadership goals and company objectives might be a key challenge in the immediate future.

HEAVY.AI (formerly OmniSci) Ecosystem, Partners, Resellers and SI

HEAVY.AI actively engages in technology integrations and ecosystem partnerships to optimize platform performance. Collaborations with tech like Google Cloud, NVIDIA, AWS, IBM, and Microsoft, along with alliances with system integrators and value-added resellers, enable wider outreach and deliver the GPU-accelerated analytics platform to a more extensive customer base. These partnerships ensure continued innovation and extended market reach for HEAVY.AI.

HEAVY.AI (formerly OmniSci) Cloud Infrastructure Insights

Subscribe to read more about:

  • HEAVY.AI (formerly OmniSci) Public Cloud and Infrastructure (IaaS)
  • HEAVY.AI (formerly OmniSci) Platform (PaaS)
  • HEAVY.AI (formerly OmniSci) Application Delivery
  • HEAVY.AI (formerly OmniSci) Private Cloud and Data Centers

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.


Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).


For additional information on our methodologies, here's the link:

https://www.appsruntheworld.com/About Us
https://www.appsruntheworld.com/taxonomy
https://www.appsruntheworld.com/FAQ



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