Analyst(s): Keith Kirkpatrick
Publication Date: September 11, 2026
Qualtrics previewed XM Data & AI on September 9, 2026, a platform built on what the company calls the world’s largest AI dataset for human experiential context, with general availability targeted for 2027. The platform targets the widening Experience Gap through three capabilities: Simulation, Prediction, and Trusted Outcomes.
Qualtrics operates in the Experience Management sub-market of the broader Enterprise Applications market, which Futurum projects will grow from $7.8B in 2025 to $14.3B by 2031 at a 10.5% CAGR[2]. The parent Enterprise Applications market itself reached $592.4B in 2025 and is on a base-case path to $1.1 trillion by 2031[2].
What Is Covered in This Article:
- The Experience Gap: how AI raises expectations faster than organizations can respond
- XM market growth within the broader Enterprise Applications expansion
- Qualtrics’ differentiated position on trusted outcomes and AI-driven experience intelligence
The News: Qualtrics previewed XM Data & AI on September 9, 2026, positioning it as a platform built on the world’s largest AI dataset for human experiential context, with general availability planned for 2027. The platform introduces three core capabilities: Simulation (test before you commit), Prediction (know before they act), and Trusted Outcomes (act in the moments that matter).
Qualtrics frames the Experience Gap as the most expensive problem most organizations have never calculated, and identifies AI as the primary driver widening it. Customers now benchmark companies against the best experience they have had from any provider in any sector, not just direct competitors. The platform is designed to grow Customer Lifetime Value at scale through what Qualtrics calls Experience Loops.
Can Qualtrics Close the AI-Widened Experience Gap?
Analyst Take: Qualtrics is targeting a real structural problem. The Experience Management sub-market sits at $7.8B in 2025, and Futurum projects it will reach $14.3B by 2031, growing at a 10.5% CAGR[2]. That growth rate sits below the Enterprise Applications market average of 10.9%[2], which means XM vendors need to demonstrate outsized value to capture incremental budget. XM Data & AI is built to make that case by shifting experience management from a measurement discipline to a predictive and simulation-driven one.
The Experience Gap Is a Quantifiable Business Problem
Qualtrics frames the Experience Gap not as a customer-satisfaction metric but as a calculable cost. AI has reset the baseline for what customers consider acceptable. People no longer grade companies against direct competitors; they grade against the best experience they have had from anyone, in any sector. That cross-industry benchmarking dynamic makes the gap structurally harder to close without a purpose-built intelligence layer.
XM Data & AI’s Simulation capability addresses this by letting organizations test experience scenarios before committing resources. The Prediction capability extends that logic forward, enabling organizations to anticipate behavior rather than react to it. Together, these functions reposition experience management from a retrospective discipline to a forward-looking one.
A Growing XM Market Inside a Trillion-Dollar Enterprise Apps Expansion
The Enterprise Applications market provides the commercial context. Futurum data shows the total market grew from $468.3B in 2023 to $592.4B in 2025[2], and the base-case projection reaches $1.1 trillion by 2031 at a 10.9% CAGR[2].
Within that market, Experience Management is the smallest of ten tracked sub-markets at $7.8B in 2025, but its 10.5% CAGR through 2031 signals steady expansion[2]. The faster-growing segments, CRM at 13.0% CAGR and Analytics & BI at 12.2%[2], are adjacent to XM and increasingly overlap with it as AI-driven experience intelligence blurs the boundaries between customer analytics, CRM automation, and experience measurement. That adjacency is both an opportunity and a competitive risk for Qualtrics.
Futurum’s decision-maker data show consolidation routing AI spend to incumbents: 57.4% of enterprises are actively consolidating their application stacks or evaluating consolidation, and 47.3% of consolidators are replacing point tools with suites rather than new point solutions[2]. For Qualtrics, this means XM Data & AI needs to either integrate tightly with the major suites or demonstrate enough standalone value to justify a separate budget line.
Trusted Outcomes as a Differentiator in an AI-Skeptical Enterprise Market
Qualtrics’ strongest positioning rests on its dataset and its governance posture. The world’s largest AI dataset for human experiential context gives XM Data & AI a training foundation that general-purpose AI platforms cannot easily replicate.
Enterprise buyers remain skeptical of AI outputs. Futurum’s AI Platforms decision-maker data show security and data privacy are the top concerns for agentic AI at every deployment stage, cited by 21% to 28% of organizations depending on maturity level[3]. Qualtrics’ Trusted Outcomes architecture is designed to deliver verified, actionable intelligence rather than raw generative output, directly addressing the objection that is slowing enterprise AI adoption.
The broader GenAI maturity picture reinforces the timing. Futurum’s 1H 2026 AI Platforms survey describes an enterprise AI landscape increasingly characterized by structured, production-grade deployment rather than experimentation, with organizations evaluated on governance, measurement discipline, and agentic maturity rather than model choice alone[3]. XM Data & AI enters at a point where the buyer’s question has shifted from whether to adopt AI to which platforms produce outcomes worth trusting.
What to Watch:
- Enterprise adoption rate: which customer segments deploy XM Data & AI’s Simulation and Prediction capabilities first when the platform reaches general availability in 2027
- Suite integration dynamics: whether Qualtrics secures deep integration with the major enterprise application suites or competes for a standalone budget in a market where consolidation favors incumbents[2]
- Governance alignment: whether XM Data & AI’s Trusted Outcomes architecture earns formal certification or audit-log integration with enterprise compliance frameworks
- Competitive response: how CRM and analytics vendors with adjacent XM capabilities reposition offerings in Q4 2026 and Q1 2027
- Experience Loop adoption: whether Customer Lifetime Value gains from Experience Loops become measurable and referenceable within the first two quarters post-launch
You can read the full press release at Qualtrics’ website.
Sources
- Qualtrics Unveils XM Data & AI, Expanding Experience Management to Simulate, Predict and Deliver Trusted Outcomes (Qualtrics, September 9, 2026)
- 2H 2026 Enterprise Application Market Sizing & Five-Year Forecast (Futurum Research, Keith Kirkpatrick, August 2026)
- 1H 2026 AI Platforms Decision Maker Survey Report (Futurum Research, Nick Patience, March 2026)
Disclosure: Futurum is a research and advisory firm that engages or has engaged in research, analysis, and advisory services with many technology companies, including those mentioned in this article. The author does not hold any equity positions with any company mentioned in this article.
Analysis and opinions expressed herein are specific to the analyst individually and data and other information that might have been provided for validation, not those of Futurum as a whole.
Author Information
Keith Kirkpatrick is VP & Research Director, Enterprise Software & Digital Workflows for The Futurum Group. Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
