Gartner measured the analytics platforms software market at $41.92 billion in 2024, yet the fastest growth didn't come from dashboards; it came from data science and AI platforms, which rose 38.6% to $11.71 billion (Gartner, 2025). That single split explains the 2026 market intelligence fight: budgets are moving from static reports toward systems that can read filings, earnings calls, web traffic, retail panels, survey data, analyst notes, and internal documents in one workflow. The old buyer asked for market research. The new buyer asks whether a platform can warn the CFO that demand is moving, tell the product chief which rival changed pricing, and show the sales leader which accounts are reacting before revenue misses.
This isn't a tidy software category. It sits across market intelligence, competitive intelligence, market research, B2B analytics, business intelligence platforms, consumer insights, and competitive analysis tools. That fragmentation is exactly why 2026 matters. ESOMAR placed the global insights industry at roughly $153 billion in 2024, including $56.1 billion of core market research and $62.2 billion of research software (ESOMAR Global Market Research 2025, cited in Ipsos filings, FY2025). Gartner separately put data and analytics software at $175 billion in 2024 after 13.9% growth (Gartner, 2025). The overlap is messy, but the direction is clear: intelligence spend is being pulled into AI enabled platforms that promise faster decisions, auditable sources, and lower analyst labor per answer.
For executives using MarketIntel style briefs, the key issue isn't whether market intelligence will grow. It's who captures the budget: advisory incumbents with trusted content, data owners with proprietary panels, software platforms with workflow lock in, or AI search vendors that collapse research cycles from days to minutes.
$175 Billion Gets Repriced
Gartner sized the broader data and analytics software market at $175 billion in 2024, up 13.9%, which gives the upper boundary for the software side of this market (Gartner, 2025). Inside that, analytic platforms reached $41.92 billion in 2024, with data science and AI platforms at $11.71 billion after 38.6% growth (Gartner, 2025). IDC's business intelligence and analytics software forecast for 2024 to 2028 separates the market by deployment type and geography and points to AI, embedded analytics, and cloud migration as the main drivers (IDC, 2024). ESOMAR, looking from the research buyer side rather than the software buyer side, put the insights industry at roughly $153 billion in 2024 and the traditional market research sector at $56.1 billion (ESOMAR Global Market Research 2025, company filings, FY2025).
The practical TAM, total addressable market, therefore clusters between $150 billion and $175 billion when research, data, analytics software, and reporting are counted together (ESOMAR, 2025; Gartner, 2025). The SAM, serviceable available market for AI native market intelligence platforms, is smaller. Similarweb estimates its own opportunity at about $55 billion across B2B, B2C, investor, and embedded external data customers (Similarweb filings, FY2025). AlphaSense sits in a narrower paid knowledge worker market, but its $500 million ARR milestone in October 2025 shows that premium AI research workflows can already support enterprise scale pricing (AlphaSense company release, 2025).
Segmentation matters because growth rates differ sharply. Core market research grew from $53.8 billion in 2023 to $56.1 billion in 2024, a mid single digit increase (ESOMAR Global Market Research 2025, cited in Ipsos filings). Research software reached $62.2 billion in 2024, up from $56.0 billion in 2023, which makes software the faster growing part of insights spending (ESOMAR Global Market Research 2025, company filings). Gartner's analytic platforms market grew 17.3% in 2024, while the data science and AI platform slice grew more than twice as fast (Gartner, 2025).
Regionally, North America remains the profit pool because enterprise software budgets, investor research budgets, and consumer data spending are deepest there (ESOMAR, 2024; company filings). Europe is more regulated but not weak: Ipsos generated 49% of 2025 revenue in EMEA, while Gartner's EMEA revenue rose 12% in 2025 (Ipsos key figures, FY2025; Gartner filings, FY2025). Asia Pacific is mixed. Digital behavior data is growing, but currency pressure, lower software price points, and local data rules make direct translation of U.S. pricing difficult.
The Firms Setting The Pace
Gartner is still the benchmark for executive trust, with 2025 revenue of $6.50 billion and $5.07 billion from its Insights segment (Gartner filings, FY2025). Its position is strongest where boards and CIOs need defensible vendor selection, not just raw data. In late 2025 and 2026, Gartner's edge was less a single product launch than the expansion of AI framed advisory around data, analytics, and software buying, backed by paid research access and conferences that generated $644.7 million in 2025 revenue (Gartner filings, FY2025).
Forrester is smaller but strategically sharper in customer experience, technology strategy, and market and competitive intelligence. The company reported $396.9 million of 2025 revenue and about 1,400 employees (Forrester fact sheet, 2026). Its October 2025 report on market, competitive, and customer intelligence tied the function directly to product marketing, portfolio strategy, and growth planning, which shows Forrester defending advisory value as AI search tools attack basic research retrieval (Forrester, 2025).
AlphaSense is the fastest moving private challenger in enterprise market intelligence. It surpassed $500 million in ARR in October 2025 and reported more than 6,500 customers, including 90% of the S&P 100 (AlphaSense company release, 2025). Its 2025 launches, including Generative Search, Generative Grid, Deep Research, AI Agent Interviewer, Financial Data, and the Carousel acquisition for spreadsheet generation, point to a clear strategy: make external and internal intelligence usable inside analyst workflows rather than as another content library.
Similarweb owns a different control point: observed digital behavior. The company reported $282.6 million of 2025 revenue, up 13%, and disclosed a roughly $55 billion TAM for its digital data offerings (Similarweb filings, FY2025). Its GenAI intelligence product, launched in Q3 2025, approached 200 customers and about $3 million in ARR by year end, while AI related data and solutions reached 11% of Q4 2025 revenue (Similarweb shareholder letter, 2026).
NIQ, the former NielsenIQ business, is the consumer intelligence scale player for retailers and packaged goods companies. It reported 2025 revenue of $4.20 billion, 5.7% organic constant currency growth, and $2.88 billion of annualized Intelligence Subscription revenue (NIQ results, FY2025). Its 2026 strategy is built around the Full View platform, with AI powered consumer measurement across online and offline channels, a valuable position as brands fight for visibility across retail media, marketplaces, quick commerce, and physical stores.
Ipsos remains the human research counterweight to software automation. It reported 2025 revenue of €2.52 billion, with 49% from consumers and 49% from EMEA (Ipsos key figures, FY2025). Its acquisitions of The BVA Family and infas added scope in 2025, giving Ipsos more scale in public opinion, behavioral research, and social research while the company pushes its Horizons strategic plan (Ipsos results, 2026).
Qualtrics is the most important experience management platform in the buyer mix. In October 2025, it said more than one third of customers had upgraded to AI capabilities and that monthly active use of Qualtrics AI features had more than tripled over the prior year (Qualtrics release, 2025). Its $6.75 billion investment to acquire Press Ganey Forsta expands its position in healthcare, employee, customer, and survey driven insights, which makes it a direct rival for enterprise research budgets even though it's private and no longer reports standalone public revenue.
The share gainers are the firms that own scarce data, trusted content, or the workflow where decisions are made. AlphaSense gains by shortening analyst labor. Similarweb gains by turning digital exhaust into competitive signals. NIQ gains where consumer companies need audited omnichannel data. Gartner and Forrester retain power where executives need accountability, not just an answer box.
Regulation Forces Better Evidence
The EU AI Act's 2 August 2026 enforcement milestone is the structural trigger for market intelligence in 2026. From that date, enforcement starts for applicable rules covering prohibited AI practices, transparency requirements for certain AI systems, and general purpose AI model rules (European Commission AI Act Service Desk, 2026). For market intelligence platforms, the issue isn't only whether they use AI. It's whether their outputs can be traced, explained, and governed when executives use them in pricing, hiring, sales targeting, credit, investment, or consumer segmentation decisions.
This changes buying criteria. A procurement team in 2024 could buy a competitive intelligence tool for speed and coverage. In 2026, the same team needs source lineage, permissioned data, model governance, and audit trails because an AI generated market brief may influence a pricing action, a product withdrawal, or a due diligence memo. The California Privacy Protection Agency's finalized 2025 rules add pressure in the U.S.; risk assessment compliance begins January 1, 2026, and automated decisionmaking requirements begin January 1, 2027 for covered uses (CPPA, 2025).
The cost threshold is reputational as much as legal. If an AI market intelligence platform summarizes copyrighted analyst research without rights, mislabels synthetic survey output as real respondent data, or blends internal customer data into a vendor model without contractual permission, the enterprise buyer owns part of the failure. That benefits vendors with licensed content, clean data contracts, and enterprise grade controls. It hurts tools that grew by scraping web data, reselling lightly governed contact data, or presenting model confidence without source evidence.
Three Risks Few Price Correctly
The first risk is source contamination, with a 45% probability of causing at least one major enterprise vendor dispute within 12 months. The mechanism is simple: AI assistants summarize data from multiple sources, but the user can't always see whether the answer came from a licensed research note, a public filing, a marketing page, or stale web content. Advisory firms, AI search vendors, and enterprise buyers are most exposed. The timeline is near term because EU AI Act enforcement powers and customer audits are both moving from policy documents into procurement checklists during 2026.
The second risk is budget compression, with a 35% probability of slowing seat expansion by 2027. CFOs are funding AI pilots, data platforms, and research subscriptions from overlapping budgets. Gartner's $175 billion data and analytics software market and ESOMAR's $153 billion insights industry are not additive pools; they compete inside the same planning cycles (Gartner, 2025; ESOMAR, 2025). Vendors selling generic dashboards or undifferentiated survey panels are most exposed because buyers can substitute cheaper AI workflows or consolidate suppliers.
The third risk is synthetic insight overuse, with a 30% probability of damaging at least one high profile consumer launch by late 2027. Synthetic respondents, AI coded open ends, and simulated buyer panels can reduce cost, but they can also flatten minority preferences, miss channel specific behavior, or reinforce old category assumptions. Ipsos, NIQ, Qualtrics, and specialist panel providers are affected because they must defend the value of verified human data while adopting automation themselves.
The tail risk most analysts are underweighting is a data provenance shock. If a regulator, court, or major customer forces disclosure that a widely used intelligence product trained on restricted research, brokered consumer data, or improperly permissioned internal documents, procurement teams will freeze comparable tools for a quarter or two. That wouldn't kill the category. It would move budget toward vendors that can prove rights, retention rules, and source trails at the document level.
Enterprise Buyers
Enterprise buyers should split intelligence spending into three layers: trusted source access, proprietary internal knowledge, and decision workflow. Gartner, Forrester, AlphaSense, Similarweb, NIQ, Ipsos, and Qualtrics don't solve the same problem, so bundling them into one renewal discussion creates false savings. A CFO should ask which platform feeds actual decisions: board memos, pricing councils, product roadmaps, sales plays, and acquisition screens.
Buyers should require source level traceability for every AI generated recommendation. That means each chart, claim, or summary links back to a filing, survey, panel, transcript, or licensed report. They should also cap duplicate spend by naming one system of record for each signal type: NIQ for measured consumer sales, Similarweb for digital demand, AlphaSense for document search, Qualtrics for experience feedback, and advisory firms for executive interpretation.
Investors
Investors should underwrite data ownership before software growth. Similarweb's $55 billion TAM claim is credible only if its digital data stays differentiated and legally usable (Similarweb filings, FY2025). AlphaSense's ARR growth is powerful because its content library, Tegus integration, expert calls, and financial data deepen switching costs. Private equity buyers should apply a discount to firms whose AI features are mostly wrappers over public web search.
Investors should also watch gross retention, not only AI attach rates. NIQ's 105% Intelligence Subscription Net Dollar Retention in 2025 and Similarweb's concentration of ARR in $100,000 plus customers are better quality signals than product announcements (NIQ results, FY2025; Similarweb shareholder letter, 2026). Durable market intelligence companies don't just answer questions. They become embedded in recurring planning cycles.
Vendors
Vendors should stop selling AI as a feature and sell verified time saved per decision. AlphaSense's 2025 product moves are aimed at spreadsheet, expert interview, and financial data workflows, which is the right direction. Similarweb's GenAI intelligence suite matters because search visibility inside AI answer engines is becoming a budget line for marketers and strategists.
Vendors should price by workflow importance, not seat count alone. A tool that informs M&A screening, category entry, pricing strategy, or key account defense can command premium pricing if it proves source quality and decision impact. They should also publish data lineage documentation before customers demand it, because by 2027, procurement teams will treat opaque AI output as a vendor risk.
The Next Two Years
The base case is a 60% probability that AI enabled market intelligence grows faster than the broader insights market through 2028. The reason is budget migration. ESOMAR's core market research market was $56.1 billion in 2024, while research software was $62.2 billion and growing faster (ESOMAR Global Market Research 2025, company filings). Gartner's analytic platforms market grew 17.3% in 2024, and the AI platform segment grew 38.6% (Gartner, 2025). That points to continued movement from project research toward subscription platforms.
The contrarian view, with a 25% probability, is that advisory incumbents regain pricing power because AI output floods executives with shallow summaries. If CFOs and CEOs conclude that AI tools produce too many plausible but weak answers, Gartner, Forrester, Ipsos, and specialist strategy research providers can sell judgment, accountability, and board ready synthesis at premium rates. This doesn't reverse software growth, but it caps pure self service adoption in regulated and high stakes categories.
The downside scenario, with a 15% probability, is a procurement freeze triggered by data rights litigation, privacy enforcement, or a major hallucination linked to an investment or product decision. In that case, growth doesn't disappear; it shifts to vendors with licensed content, documented data rights, and clear audit trails. The leading indicators to watch are AI attach rates in enterprise renewals, net dollar retention at data owners such as NIQ and Similarweb, and the number of procurement questionnaires that require model documentation and source lineage.
Seven Takeaways That Matter
- Gartner's $41.92 billion analytic platforms figure for 2024 understates the broader opportunity because market research and consumer intelligence budgets are moving into the same workflows (Gartner, 2025).
- ESOMAR's roughly $153 billion 2024 insights industry figure shows that research software has already become as large as traditional market research (ESOMAR, 2025).
- AlphaSense's $500 million ARR milestone in 2025 proves that AI native market intelligence can command enterprise pricing when it owns trusted content and workflow depth.
- Similarweb's 11% Q4 2025 revenue contribution from AI data and solutions shows that competitive analysis tools are being pulled into AI search visibility and model data markets.
- NIQ's $2.88 billion annualized Intelligence Subscription revenue gives it a strong base in consumer insights because retailers and brands still need verified transaction data.
- The EU AI Act and California privacy rules make source traceability a buying requirement, not a legal footnote, for AI enabled intelligence platforms.
- Vendors without proprietary data, licensed content, or a recurring decision workflow will face consolidation pressure as buyers cut overlapping subscriptions.
Should a CFO consolidate market research and BI budgets in 2026?
A CFO should consolidate governance, not blindly consolidate vendors. Gartner measured data and analytics software at $175 billion in 2024, while ESOMAR measured the insights industry at roughly $153 billion in 2024, which means the two budget pools are overlapping inside finance, strategy, marketing, and product teams (Gartner, 2025; ESOMAR, 2025). The better move is to map each vendor to a decision. NIQ may justify spend for price and category decisions; Similarweb may justify spend for digital share and search demand; AlphaSense may justify spend for investor research and M&A screening. Cutting all three because they sound similar can remove distinct signals. The CFO's test should be renewal tied to decision frequency, source quality, and measurable reduction in analyst labor.
Which vendors are safest for regulated enterprises?
The safest vendors are those with documented data rights, enterprise controls, and source trails. Gartner and Forrester have an advantage in advisory governance because their content is licensed and their business model depends on trust. AlphaSense is strong where it can show source level links across filings, earnings calls, expert transcripts, and licensed content. NIQ is strong in consumer goods because its recurring intelligence revenue is tied to measured shopping data and long term contracts. Similarweb is valuable for digital signals, but buyers should review data methodology, permitted use, and AI training terms. The EU AI Act's 2 August 2026 enforcement milestone makes this diligence practical rather than theoretical (European Commission AI Act Service Desk, 2026).
Is synthetic research ready to replace survey panels?
Synthetic research is ready for early hypothesis testing, message variation, and low risk scenario planning, but it isn't ready to replace verified survey panels in major pricing, product, or brand decisions. Ipsos generated €2.52 billion of revenue in 2025 because clients still pay for structured human research, not just fast approximations (Ipsos key figures, FY2025). Qualtrics' AI adoption shows that automation is entering experience management, yet its $6.75 billion Press Ganey Forsta deal also signals the value of real feedback networks in healthcare, employee, and customer settings (Qualtrics release, 2025). The practical guide is simple: use synthetic tools to narrow options, then use human data to validate decisions with financial or reputational risk.
What should a CTO demand from AI market intelligence tools?
A CTO should demand source lineage, access controls, model documentation, retention policies, and exportable audit logs. Those requirements sound administrative, but they decide whether the tool can be used for board material, regulated decisions, and internal knowledge search. The EU AI Act requires transparency for certain AI systems from 2 August 2026, while California's privacy rules bring risk assessment requirements from January 1, 2026 and automated decisionmaking requirements from January 1, 2027 for covered uses (European Commission, 2026; CPPA, 2025). A CTO should also test whether vendor AI answers degrade when internal documents conflict with public data. If the platform can't explain why it chose one source over another, it shouldn't be used for high stakes decisions.
Where should PE investors look for acquisition targets?
Private equity investors should look below the obvious AI search layer and target firms with proprietary datasets, vertical workflows, and recurring renewal behavior. NIQ's 105% Intelligence Subscription Net Dollar Retention in 2025 shows why data assets with renewal discipline are valuable (NIQ results, FY2025). Similarweb's $282.6 million 2025 revenue and $55 billion TAM claim show the appeal of external digital data, but also the need to test defensibility (Similarweb filings, FY2025). Smaller targets in healthcare, industrial channels, supply chain intelligence, and B2B buyer intent can be attractive if their data can't be scraped and their customers use the product weekly. Generic dashboard companies should be valued lower unless they own a mission critical workflow.
The Winners Will Prove Trust
The 2026 market intelligence market is being rebuilt around evidence, not content volume. Buyers don't need more dashboards, alerts, and AI summaries. They need systems that tell them what changed, why it matters, where the claim came from, and what decision should follow. That favors companies with proprietary data, licensed research, internal knowledge connectors, and audit ready AI controls.
The split between winners and laggards will be visible in renewals. Gartner and Forrester will defend budgets where executive judgment is still scarce. AlphaSense will keep taking analyst workflow share if its AI tools cut research time without weakening source confidence. Similarweb will gain where digital behavior becomes a board level competitive signal. NIQ and Ipsos will stay relevant because real consumer behavior and verified respondents still matter when a company is setting price, entering a category, or defending share.
The strategic message for 2026 is direct: don't buy market intelligence as a library. Buy it as a decision system with named data rights, source trails, and measurable use inside recurring planning cycles. By December 2027, at least one AI native market intelligence vendor will exceed $1 billion in ARR while two midsized competitive intelligence platforms will be acquired primarily for their proprietary data assets.