Gartner
Research and advisory firm for enterprise technology and business leaders.
Available information varies by company and source.
Profile record updated:
Company facts
- Official name
- Gartner, Inc.
- Entity type
- COMPANY
- Founded
- 1979
- Headquarters
- United States
- Company size
- >5,000
- Market role
- Publisher & Media Owner
- Ticker
- IT
- Official website
- gartner.com
What Gartner does
Gartner creates value by turning proprietary analyst research, market frameworks, benchmarking and expert guidance into paid decision-support products for enterprises. Its business model is centred on recurring client relationships, where organisations subscribe to research seats and advisory access, then deepen spend through additional service lines such as conferences and consulting engagements.
Category differentiation
Gartner is a B2B research and advisory company, not a marketing software vendor or adtech platform. It is best distinguished from pure management consultancies by its subscription-led research and analyst model.
Strategic context
AI-supported assessment from the existing company research; distinguish interpretation from sourced facts.
Gartner is a US-based publicly listed research, advisory and conference company serving business and technology decision-makers. It produces subscription-based research, analyst guidance, benchmarking and consulting-style advisory services, and also generates revenue from executive conferences and events. Its customers are primarily enterprises and large organisations that buy Gartner’s insight to support IT, data, security, procurement, finance, HR and broader management decisions. The company monetises through recurring contracts for research and advisory access, supplemented by event revenue and selected consulting engagements.
Company news briefing
Briefing updated:
Gartner forecasts that 40% of enterprise applications will include AI agents by 2026, while projecting that 80% of net-new customer data platform deployments will be embedded within data platforms by 2030. Additionally, the firm notes that stagnant marketing budgets and AI-driven efficiency are pushing agency fees toward a projected all-time low of 15% of marketing budgets, alongside growing chief marketing officer accountability for retention and customer experience.
Business model & monetisation
The company primarily uses a subscription model for access to research and advisory services, complemented by service fees for consulting-style engagements and ticket or sponsorship-related revenue from conferences. Commercially, this resembles a mix of recurring information services contracts and higher-margin add-on services sold into existing enterprise accounts.
- Research subscriptions
- Recurring subscription contracts
- Advisory and consulting engagements
- Service fee / retainer
- Conferences and events
- Ticketing and related event revenue
Products & capabilities
No products with linked sources are available in this view.
Competitors & alternatives
- Mordor Intelligence
B2B market intelligence firm selling research, subscriptions and custom studies.
Side-by-side comparisons
Recent recorded signals
Dates refer to the source publication. Older entries are historical context, not evidence of a new event.
Survey Finds 72% of Tech Decision-Makers See AI Initiatives Falling Short
Artificial Intelligence · Recorded impact score: 2/5
A new survey by Collibra and The Harris Poll reveals that 72% of tech decision-makers believe AI initiatives fail due to poor data foundations. The survey, conducted among 306 US decision-makers, found that 87% burn hours re-verifying AI agent context, and 76% face roadblocks moving from pilots to production. Additionally, 51% manually review AI outputs. The report highlights the need for better data governance and runtime controls to scale AI effectively. Collibra's CEO emphasizes the 'hallucination tax' as a hidden cost of manual oversight. The findings also reference Gartner research indicating 50% of enterprise GenAI projects are abandoned after proof of concept.
- 72% of tech decision-makers say AI initiatives fail due to unaligned or poor data foundations.
- 87% of decision-makers say teams regularly re-verify that agent context is accurate.
Martech Strategy Must Shift to Operating Environment for AI
MarTech Strategy · Recorded impact score: 3/5
As AI systems begin to take on decision-making and autonomous actions, the martech landscape is shifting from a capability-centric model to an operating environment model. This article argues that the key to successful AI implementation in marketing is not merely the technology stack, but the surrounding infrastructure of rules, permissions, and accountability. It highlights a significant gap: although CMOs are allocating an average of 15.3% of marketing budgets to AI, only 30% report having mature AI readiness. The article emphasizes that for AI to work effectively, organizations must focus on machine operability, ensuring that metadata, approvals, rights, and workflow states are explicit and accessible. This shift impacts areas like CreativeOps, where AI-generated content needs robust governance. It also repositions the DAM as critical infrastructure for AI, requiring strong metadata and clear rights. The article concludes that future martech strategy should start with the desired operating capability, not the existing tech estate.
- Gartner's 2026 CMO Spend Survey found CMOs allocate an average of 15.3% of marketing budgets to AI, but only 30% report mature AI readiness capabilities.
- McKinsey found that only 21% of organizations using generative AI have fundamentally redesigned at least some workflows.
AI Agents Transform Shopping from Circulars to Automated Purchasing
AI Agents · Recorded impact score: 3/5
This article explores how AI is reshaping the shopping journey, moving beyond traditional advertising to a future where AI agents act on behalf of consumers. It highlights that 73% of parents plan to use AI in back-to-school shopping, citing a PwC study. The evolution from static ads to predictive, adaptive creative is discussed, with comments from Priti Ohri of Advertible on dynamic creative. The piece also covers conversational AI, referencing Criteo's Prompt Smart Ads, and the transition from assistance to delegation, noting that only 11% of consumers are ready for AI to make purchase decisions. Becky Gundy of CHEQ predicts agents will soon handle purchases end-to-end, emphasizing that advertisers must appeal not only to consumers but also to their AI agents.
- 73% of parents plan to use AI in back-to-school shopping (PwC study, June 2026).
- Only 11% of US consumers are ready to let AI make purchase decisions (Gartner survey).
Meta Lab Nearly Doubles Retail Store Footprint with Six New Locations
Retail Media · Recorded impact score: 2/5
Meta is expanding its Meta Lab retail store concept, nearly doubling its physical footprint from eight to fourteen locations. Six new standalone stores are planned for Houston, Atlanta, San Diego, Chicago, Scottsdale, and New York City's Moynihan Station, with Houston already open. This expansion follows Meta's broader push into smart glasses, including shop-in-shops at Best Buy. The stores aim to provide hands-on experiences for AI glasses, which have seen rapid growth but face privacy concerns. Despite privacy backlash, Meta remains committed to physical retail as a means to drive adoption and support its wearable ecosystem.
- Meta Lab will open six new standalone stores in the next several months, starting with Houston on Sept. 10.
- The expansion will nearly double Meta Lab's store footprint from eight to fourteen locations.
EU Chip Project Develops 1 Petaflop Edge Computing Alternative
Infrastructure · Recorded impact score: 3/5
Researchers at Eindhoven University of Technology, under the EU-funded Convolve project, are developing a new chip design to enable complex AI workflows directly on edge devices like laptops and smartphones, offering an alternative to large data centers. This initiative responds to growing opposition to data centers, particularly in Texas, where new facilities over 20 megawatts have been halted due to energy and environmental concerns. The team's cross-layer design approach aims to optimize efficiency, potentially reducing energy consumption and heat issues compared to traditional supercomputers. Targeting up to 1 petaflop (1 quadrillion calculations per second) performance, the chip is positioned as an affordable, environmentally friendly EU-based solution for edge computing, addressing local community burdens and data sovereignty concerns.
- TU Eindhoven researchers, under the EU-funded Convolve project, are developing a chip for edge computing to process complex AI workflows locally.
- The chip aims to achieve up to 1 petaflop (1 quadrillion operations per second) on devices like laptops or smartphones.
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Questions about Gartner
What is Gartner?
Gartner is a publicly listed B2B research, advisory and conference company that helps enterprise leaders make technology and business decisions.
Who uses Gartner?
Large enterprises, CIO organisations, technology leaders and other corporate decision-makers use Gartner’s research, analyst access and events.
How does Gartner make money?
Gartner mainly makes money from recurring research and advisory subscriptions, plus consulting-style engagements and conference revenue.
Sources & coverage
This profile uses public, official and technically observable information. Missing information does not prove that a product or relationship does not exist. The list below does not imply that every profile statement has been verified.
15 publicly documented primary sources and citations linked across the market graph.
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