Skip to content
MarketScale
‹ Back to IndustriesSoftware & Technology

Progress Software acquires Domo's AI and data platform for $400 million

Progress Software has acquired Domo's AI and data platform for $400 million. The acquisition will add over 2,400 enterprise customers and enhance Progress Software's AI capabilities with a new analytics layer.

This story was produced through MarketScale. See how Software & Technology teams put it to work with Executive Thought Leadership.

By MarketScale Newsroom · Progress SoftwareDomoAi InfrastructureData Platform
Share
Learn this in 60 seconds

Key facts, context, and what it means, in one minute.

:60
0:001:00
Progress Software acquires Domo's AI and data platform for $400 million

Key takeaways

01

Progress Software acquired Domo's platform for $400 million.

02

The acquisition adds more than 2,400 enterprise customers to Progress Software.

03

Progress Software enhances its AI infrastructure with an agentic analytics layer.

Get featured

Want to get featured in MarketScale Software & Technology?

Create a free MarketScale workspace and get your company's expertise featured across our Software & Technology coverage. No credit card, no demo required.

Request an invite

Progress Software agreed on July 22, 2026 to purchase substantially all assets of Domo, the cloud-native AI and analytics company, for $400 million in cash. The deal, structured as an asset purchase, brings Domo's agentic platform into Progress' growing AI infrastructure stack and is expected to close before Progress' fiscal year ends November 30, 2026, according to the company's announcement via GlobeNewswire.

What Progress is actually buying

The transaction is not simply a customer grab. Progress is acquiring Domo's full product platform, including its agentic AI capabilities, data integration layer, and analytics stack built around governed, cloud-native architectures. Along with the technology, Progress picks up a customer base of more than 2,400 businesses and a network of strategic cloud data warehouse partnerships, according to the company announcement.

That partner ecosystem matters for enterprise operators already running workloads across platforms like Snowflake, Databricks, or BigQuery. Domo's existing connectors and certified integrations pass to Progress, reducing the integration lift for IT teams that want to extend AI readiness across existing data infrastructure rather than rip and replace it.

Progress CEO Yogesh Gupta framed the strategic rationale around data trust, telling investors that effective AI starts with accurate, trusted data and that Domo's expertise in cloud architectures and analytics is highly complementary to Progress' expanding data platform, per the GlobeNewswire release. The emphasis on governance, security, and cost reduction signals that Progress is positioning the combined offering directly at enterprise buyers trying to operationalize AI without creating new compliance exposure.

A $400 million bet on governed AI data is a direct signal to enterprise buyers: the platform consolidation race is no longer about dashboards, it is about which vendor controls the trusted data layer your agents run on.

Domo's agentic platform and what it changes for operators

Domo describes its product as an agentic platform for the intelligent enterprise. In practical terms, that means the platform is designed to allow AI agents to query, act on, and report from live business data without manual intervention. For operations and IT leaders evaluating agentic AI deployments, that capability closes a critical gap: most enterprise AI projects stall not on model quality but on data access, lineage, and governance controls.

Domo founder and CEO Josh James stated that the company has always been built around the principle that trusted data should help people make better decisions. Moving into the Progress portfolio, he indicated customers will gain a stronger foundation for building AI that works from governed data and can be trusted to support meaningful business decisions, according to the GlobeNewswire announcement.

For procurement and IT operations teams, the practical upshot is a combined stack that handles data ingestion, governance, and AI-ready preparation under one vendor agreement. That consolidation reduces the number of vendor contracts to manage and, Progress argues, lowers the total cost of AI infrastructure.

Deal structure and financial context

The $400 million consideration will be funded through a combination of Progress' cash on hand and draws on its existing revolving credit facility, per the company's disclosure. Progress chose an asset purchase structure rather than a full corporate acquisition, meaning it is taking Domo's products, customer contracts, and technology while assuming only certain specified liabilities. That structure offers buyers more control over what obligations they absorb and is common when a technology company's core value is concentrated in its IP and customer base.

Progress also used the announcement to reiterate its fiscal Q3 guidance, noting that revenue and non-GAAP earnings per share are expected to come in at or above the high end of targets issued June 30, 2026. Full Q3 results are scheduled for September 30, 2026. That guidance reiteration alongside a $400 million deal is a deliberate signal to the market that Progress considers the acquisition accretive to its financial position, not a strain on it.

Progress describes the Domo acquisition as a continuation of its Total Growth Strategy, an acquisition-led model that targets businesses with strong customer retention, recurring revenue, and cultural alignment. Previous deals under the same strategy have included infrastructure software companies in adjacent data and application development segments, building a portfolio designed to serve enterprise buyers throughout the AI adoption lifecycle.

What this means for your team

  • If you are a current Domo customer, begin mapping your existing integrations and contract terms. Asset purchases can reset support SLAs and renewal structures; confirm in writing how Progress will honor current agreements before the close date.
  • If you are evaluating AI data infrastructure, add the combined Progress-Domo platform to your short list alongside incumbent options. The agentic layer and cloud data warehouse integrations are now inside a larger, better-capitalized vendor with a stated focus on governance and cost.
  • For IT and procurement teams running multi-vendor data stacks, assess whether Domo's connector ecosystem overlaps with your current architecture. The partner network transferring to Progress could reduce integration costs or surface redundancies worth eliminating.
  • Watch the September 30, 2026 earnings call. Progress will give its first detailed financial picture of the combined business alongside Q3 results, which is the earliest opportunity to evaluate integration progress and any product roadmap changes.

Featured companies

Your experts belong here

Every story in MarketScale Software & Technology starts with a company putting its solutions engineers, product teams, and customer engineers on the record. Buyers are already reading this topic. The only question is whose experts they find.

Buyers ask AI engines who to consider, and published expert answers are what those engines cite.

Get your team featuredSee how it works15 minutes, straight to a calendar.

About the author

MarketScale Newsroom
MarketScale NewsroomEditorial Team, MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

Follow Software & Technology Insights

Get new expert content in your inbox.

Software & Technology: are you visible to AI?

Before they reach out, Software & Technology buyers ask AI engines which vendors to trust. See how AI describes your company today, and where competitors show up instead.

Free workspace

You just read one Software & Technology expert. Your company is full of them.

This article was produced through MarketScale. The same platform turns your solutions engineers, product teams, and customer engineers into the articles, video, and social content Software & Technology buyers are searching for. Create a free workspace and see it with your own people. No credit card, no demo required.

NPS +73 · 1,000+ creators · 38+ countries

What you get, free

Your own MarketScale Studio workspace
One video edit a month, on us
AI writing, editing, and publishing tools
In-platform coaching to learn the system

More Software & Technology Insights

AI is now a DAM governance requirement, not a demo feature

CMSWire’s 2026 DAM coverage shows AI fit and governance now drive enterprise DAM selection. Gartner’s DAM reviews point to cross-functional adoption and third-party access needs. Plan for metadata strategy, rights workflows, and integration requirements during refreshes happening now.

  • 01If the DAM roadmap does not spell out how governance, metadata, and rights management will support AI-driven use cases, teams can get stuck in approval and control issues instead of moving forward with storage and delivery.
  • 02Bynder shows up as a “Customer Favorite” in Forrester’s Q1 2026 DAM Wave cited by CMSWire and also appears repeatedly in Gartner peer-rating views, a rare cross-benchmark signal procurement teams can use.
  • 03For organizations with legacy archives, CMSWire’s 20%+ 1990s hard-drive failure-rate reference reframes digitization as a time-bound risk, not a “nice-to-have” project.

Sep 5, 2026

OpenAI's GPT-6 Astra pitch is to skip integrations and run the software UI itself

OpenAI's GPT-6 Astra pitch is to skip integrations and run the software UI itself

OpenAI shipped GPT-6 Astra on Sept. 3 with a "computer use" capability that lets the model operate existing software UIs directly instead of requiring custom API integrations. The staged rollout through Daybreak, ChatGPT tiers, and AWS shifts the automation bottleneck from building connectors to governing UI-driven sessions, with speed measured in minutes per task as the cost input.

  • 01Astra operates software via pixels, keyboard, and mouse interactions to bypass API integration work on the long tail of internal tools without clean API access
  • 02OpenAI reported Astra at 40 minutes per task (47% faster than GPT-5.6 Sol at 75 minutes), making task time the practical proxy for compute cost modeling and throughput evaluation
  • 03Enterprises must define governance before broad rollout: eligible workflows for UI automation, audit logging systems, identity and secrets handling, and fallback procedures when UIs change or sessions break

Sep 3, 2026

Cloud is set to take 26% of IT budgets, and hiring is shifting toward platforms

Cloud is set to take 26% of IT budgets, and hiring is shifting toward platforms

Foundry’s 2026 Cloud Computing Study, cited by CIO, reports IT leaders expect 26% of IT budgets to go to cloud computing in the next year and that 74% accelerated cloud migrations in the last 12 months. At the same time, CIO’s coverage of Robert Half Technology’s 2026 IT salary report shows AI/ML engineers at a $170,750 median salary and a striking capability gap, with only 7% of leaders saying they have the capabilities to complete prioritized projects and 65% expecting to upskill existing staff. Separate reporting from Nextgov on senior appointments in the Pentagon CIO office, and Government Technology’s account of Illinois’ multi-agency data-sharing MOU, indicate large organizations are staffing for organizational change, governance, and cross-domain data sharing, not just for lift-and-shift migrations. For enterprise operators, the signal is that cloud programs increasingly depend on internal platform engineering, adoption enablement, and finance-aligned governance, because those functions connect migration speed to day-two operations and business results.

  • 01A useful benchmark for 2026 planning: Foundry’s survey puts cloud at 26% of IT budget next year, so showback/FinOps and workload-level chargeback governance can’t stay a side project (per CIO citing Foundry).
  • 02Talent pricing has become an input to architecture decisions. A CIO, citing Robert Half, compared the median pay for AI/ML engineers ($170,750) with systems administrators ($98,000), arguing that platform standardization and self-service guardrails are as much about labor strategy as technology.
  • 03If 65% of leaders expect to upskill to close gaps, the differentiator becomes your internal adoption system, in-app guidance, runbooks, and training telemetry, not the third new tool in the stack (per CIO citing Robert Half; illustrated by Ferring’s Whatfix rollout reported by BankInfoSecurity).

Sep 2, 2026

Explore More Software & Technology Insights

Read more expert perspectives from across Software & Technology.

Browse Software & Technology Hub

About the Expert

MarketScale Newsroom
MarketScale Newsroom

Editorial Team

MarketScale

The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

For B2B teams

Your experts could be publishing here

Stories like this one run on content MarketScale captures from real practitioners. See how your team's expertise becomes coverage in Software & Technology and beyond.

Book a 15-minute demo

Or call us. No forms required. We pick up. 214-945-2512