# B2B data market heads toward $15 billion, but data quality gaps threaten enterprise ROI By MarketScale Newsroom · Published 2026-07-09 · Business Services on MarketScale Canonical: https://www.marketscale.com/industries/business-services/b2b-data-market-heads-toward-15-billion-but-data-quality-gaps-threaten-enterprise-roi > The B2B data market is projected to hit $15 billion by 2030, yet persistent data quality issues are undermining the returns enterprises expect. ## Key points - The B2B data market is projected to reach $15 billion by 2030. - Data quality issues are negatively impacting enterprise ROI. - Improving data quality is essential for leveraging the market’s potential. The B2B data market is on course to reach $15 billion by 2030, according to research cited by ABNewswire, a figure that reflects how deeply commercial intelligence has become embedded in enterprise sales, marketing, and operations workflows. That growth trajectory is substantial, but a parallel finding undercuts the optimism: data quality problems are widespread enough to materially limit the value organizations actually get from these purchases. ## A growing market with a persistent quality problem Demand for B2B data has grown steadily as organizations look to enrich their CRM systems, sharpen account-based marketing, and feed AI-driven prospecting tools. Vendors have responded with expanding databases of company firmographics, contact records, intent signals, and technographic profiles. Volume and coverage have improved considerably. Accuracy has not kept pace at the same rate. The quality gap matters in practical terms. A sales operations team running outbound sequences against stale contact data burns through SDR capacity on bounced emails and wrong numbers. A procurement function relying on inaccurate supplier records introduces risk into sourcing decisions. A revenue operations leader feeding a CRM enrichment tool with low-fidelity data propagates errors across downstream systems that are difficult and costly to remediate. This is not a new critique of the B2B data industry, but the scale of the projected market makes it more consequential. At $15 billion in annual spend, even a modest percentage of wasted investment due to quality failures represents hundreds of millions of dollars in unrecovered value across the enterprise buyer base. ## What drives the continued investment despite quality concerns Enterprise buyers continue purchasing B2B data at scale for several reasons. First, even imperfect data accelerates processes that would otherwise rely on manual research. Second, AI and machine learning applications require large training and enrichment sets, which drives volume purchasing even when accuracy thresholds are not fully met. Third, competitive pressure to build more sophisticated go-to-market infrastructure keeps procurement teams renewing contracts with incumbent providers. The result is a market that grows on demand signals while quality accountability lags. Vendors compete heavily on database size and feature breadth. Fewer compete aggressively on independently verified accuracy rates or publish transparent benchmarks on record freshness. ## Evaluation criteria are shifting Procurement and revenue operations leaders are beginning to push back. Contract negotiations increasingly include data quality SLAs, requiring vendors to guarantee minimum accuracy thresholds for email deliverability, phone connectivity, and firmographic correctness. Some enterprise buyers have introduced internal data audits before and after onboarding a new provider, using match rates against known-good records as the acceptance test. Freshness is emerging as a distinct evaluation axis. B2B contact data decays quickly as professionals change roles, companies restructure, and organizations merge. A database refreshed quarterly performs differently in production than one refreshed monthly or in near-real-time. Buyers are asking vendors to document update frequency and methodology, not just total record count. ## What this means for your team - Audit your current B2B data vendors against quality benchmarks before the next renewal: request documented accuracy rates, update frequency, and methodology for verifying contact and company records. - Build quality SLAs into new contracts, specifying minimum deliverability and accuracy thresholds with remediation or credit provisions if those levels are not met. - Run a pre-deployment match test against a sample of known-good internal records before onboarding any new data provider into a CRM or enrichment workflow. - As the market consolidates toward $15 billion in spend, vendor differentiation on quality will increase, so track which providers publish third-party verified benchmarks and weight that in competitive evaluations. ## Sources - [B2B Data Market on Track to Reach $15 Billion by 2030](https://www.facebook.com/ABNewswire/posts/b2b-data-market-on-track-to-reach-15-billion-by-2030-but-a-new-report-finds-the-/1473832648096290/) (ABNewswire) Tags: B2B data, data quality, enterprise data, procurement, data management, market growth, commercial intelligence, IT spending, data operations, vendor evaluation --- Source: MarketScale, https://www.marketscale.com/industries/business-services/b2b-data-market-heads-toward-15-billion-but-data-quality-gaps-threaten-enterprise-roi. 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