Analysis of 2024 B2B intent data benchmarks, citing adoption rates, pipeline impact, and vendor market share from sources like Forrester and DemandScience.

In 2024, B2B intent data adoption has become nearly universal, with 91% of marketers using it for account prioritization according to a 2026 DemandScience report. [2, 14, 21] However, a significant gap between adoption and impact exists, as only 24% of users report achieving exceptional ROI from their investment. [2, 6, 14, 21] The B2B buyer intent data market was valued at $4.49 billion in 2026 and is projected to grow at a CAGR of 16.62%, indicating its strategic importance despite widespread challenges in activation and measuring direct revenue impact. [2, 3, 6]

TL;DR

91% of B2B marketers now use intent data, but only 24% report exceptional ROI, according to DemandScience research. [2, 14, 21]
The B2B intent data market was valued at $4.49 billion in 2026 and is projected to reach $20.89 billion by 2035. [3, 21]
The Forrester Wave™ for B2B Intent Data Providers (Q1 2025) named Intentsify, 6sense, Bombora, Informa TechTarget, and Demandbase as Leaders. [2, 11, 14]
Third-party intent data platforms like Bombora and 6sense typically start at $25,000-$60,000 per year, while first-party tools can start under $100 per month. [5, 7, 9]
Accuracy varies by source: first-party intent is 70-90% actionable, while third-party data is estimated at 40-60% actionable. [6]

Adoption Reaches 91%, But Exceptional ROI Remains Elusive for Most

The adoption of B2B intent data has become nearly ubiquitous, with a 2026 DemandScience report revealing that 91% of B2B marketers now use it for prioritizing accounts. This near-universal adoption underscores a fundamental shift in go-to-market strategy, where teams now expect visibility into the anonymous research behaviors that precede a formal sales inquiry. Supporting this trend, a 2025 Buyer Experience Report from 6sense, which surveyed over 4,000 buyers, found that 94% of B2B buying groups have already ranked their preferred vendors before ever speaking with a sales representative. Vendors are capitalizing on this demand; for instance, Bombora's Data Co-op, a foundational source for many platforms, tracks 17 billion user interactions monthly across a network of over 5,000 B2B publishers to identify these early signals. The market's response is clear, with projections showing the B2B intent data tool sector growing from $4.49 billion in 2026 to a forecasted $20.89 billion by 2035, reflecting a compound annual growth rate of 16.6%. This widespread integration into the marketing stack signals that intent data is no longer a niche tool but a core component of modern B2B marketing infrastructure.

Despite near-universal adoption, a significant gap between data access and meaningful business impact persists, with only 24% of marketers reporting 'exceptional' return on investment from their intent data tools. This disparity highlights a critical challenge: while identifying in-market accounts has become easier, converting those signals into pipeline and revenue remains a major hurdle. Research from a joint HubSpot and Intentsify report, titled The State of Intent Data 2024, corroborates this, finding that while most users see some ROI, the exceptional results are confined to a minority. Further complicating the ROI calculation, 37% of B2B marketers admit they cannot accurately measure the financial return of their intent data investment at all, according to a 2024 study by Mixology Digital. This measurement challenge often stems from a failure to connect intent data directly to sales outcomes, leading to situations where, as one DemandScience report notes, marketing dashboards show success that fails to translate into actual revenue. The low rate of exceptional ROI suggests that the mere presence of intent data is not enough; its true value is unlocked through effective application, a stage where many organizations falter.

This chasm between high adoption and low impact is widely known as the 'activation gap': the operational challenge of converting raw intent signals into timely, relevant sales and marketing actions. The problem is not a lack of data, but the manual processes and fragmented systems that prevent its immediate use. According to the State of Intent Data 2024 report, 58% of users identified a need for better dashboards, reporting, and system integrations to make their intent solutions more functional. This points directly to a technology stack that is data-rich but action-poor. For many teams, intent data arrives as a list of surging accounts that must be manually cross-referenced in a CRM, enriched with contact information, and then uploaded into a marketing automation platform for a campaign to be built. Each manual step in this sequence introduces delays, during which the buying signal's relevance decays. As noted in a 2025 analysis by RevSure, this lag between knowing something valuable and acting on it silently drains pipeline potential as buyer urgency fades and competitors who can react faster step in.

Market to Exceed $20 Billion by 2035, Driven by ABM and AI

The global B2B buyer intent data tools market is experiencing a period of explosive growth, with a valuation of $4.49 billion in 2026 projected to reach $20.89 billion by 2035. [4] This expansion reflects a compound annual growth rate (CAGR) of 16.62%, positioning it as one of the most rapidly growing segments within the marketing technology landscape. [1, 2] The forecast, detailed in the B2B Buyer Intent Data Tools Market Size & Trends Report, 2035 by Roots Analysis, underscores a fundamental shift in B2B marketing and sales. [1, 4] Organizations are moving away from volume-based outreach and toward signal-based strategies that prioritize accounts actively researching relevant solutions. This market acceleration is not merely about adopting new software; it represents a strategic response to the increasing complexity of the B2B buying journey, where buying groups often form preferences and rank vendors long before making direct contact with sales teams. [1, 3] The robust growth projection signals strong investor confidence and widespread acknowledgment that understanding buyer intent is no longer a niche advantage but a core requirement for competitive success.

This significant market expansion is primarily fueled by two interconnected technological trends: the widespread adoption of Account-Based Marketing (ABM) strategies and the integration of Artificial Intelligence (AI) for advanced signal processing. [5] ABM, which requires precise identification and targeting of high-value accounts, relies heavily on intent data to be effective. As a reported 85% of businesses now adopt ABM practices, the demand for reliable intent signals has surged, creating a direct growth driver for the market. [8] Simultaneously, AI has become essential for making sense of the vast and often noisy data streams that indicate buyer intent. AI-powered analytics, as offered by platforms like 6sense with its RevvyAI launched in 2025, can process billions of monthly interactions to identify subtle patterns and predict which accounts are truly in-market. [9, 12] This capability moves teams beyond simple keyword-based alerts to a more sophisticated, predictive model of lead scoring and account prioritization, making the data more actionable and directly impacting pipeline generation. [9]

Geographically, North America has established itself as the dominant force in the B2B intent data market, commanding a 42.6% revenue share in 2025 with a valuation of $1.62 billion. [5] This leadership position is attributed to several factors, including the high concentration of technology and SaaS companies in the United States, a mature digital marketing ecosystem, and the early adoption of data-driven sales methodologies. [4, 5] In terms of deployment, cloud-based solutions are the overwhelming preference, accounting for over 71.5% of the total market in 2025. [5] The preference for cloud deployment, as detailed in the B2B Buyer Intent Data Tools Market Report 2026, is driven by the need for scalability, real-time data processing, and seamless API integrations with existing CRM and marketing automation platforms like Salesforce. [4, 5] The IT and Telecommunications industry stands out as the largest end-user, representing 24.61% of the market, a segment that leverages intent data to navigate intense competition and complex sales cycles. [4]

First, Second, and Third-Party Intent: A Comparative Analysis

First-party intent data, derived directly from a company’s owned digital assets, provides the most accurate and reliable signal of buyer interest. This data encompasses every interaction a prospect has with a brand's ecosystem, including website page views, content downloads, webinar attendance, and CRM history. Its primary advantage is precision; because the data is collected directly, there is minimal latency and no reliance on external modeling, which can degrade signal quality by an estimated 30-50%. [11] For instance, a prospect repeatedly visiting a specific product's pricing page is an unambiguous, high-value signal. However, the significant limitation of first-party data is its narrow scope. It can only reveal the activities of accounts already known to the company, offering no visibility into the vast portion of the market, often cited as up to 70% of the buyer journey, that occurs in the 'dark funnel' before a prospect makes direct contact. [3] This creates a strategic blind spot, as teams can only react to interest, not proactively discover it. A 2026 report from DemandScience highlights that while 91% of marketers use intent data, many struggle to translate it into revenue, a challenge exacerbated by relying on a single data source. [1]

Second-party intent data, sourced from partner websites like technology marketplaces and peer review platforms, offers a powerful view into the active evaluation stage of the buying cycle. When a buyer is comparing vendors on G2, reading reviews on TrustRadius, or researching solutions on Gartner Peer Insights, they are exhibiting high-intent behavior that signals a purchase is being seriously considered. [5] G2, which attracts over 6 million in-market buyers monthly, captures these purchase-proximate actions, such as direct competitor comparisons and pricing page views, providing signals that are more closely tied to pipeline than broader research topics. [6] A 2024 analysis by Dreamdata found that deals influenced by G2 signals were twice as valuable as those without, and that signals indicating a direct competitor comparison had 5.7 times more influence on closed deals than general category research. [9] While not as universally precise as first-party data, this source is invaluable for identifying accounts that are in the critical short-listing phase of their journey but have not yet engaged with a vendor's own website.

Third-party intent data provides the broadest market coverage by aggregating behavioral signals from a cooperative of thousands of publisher websites, offering a crucial early look into emerging account interest. Providers like Bombora, a leader identified in the Q1 2025 Forrester Wave report, analyze content consumption across this vast network to identify when a company shows a spike in research around specific topics. [1] This is often presented as a score, like Bombora's Company Surge®, which indicates an account is consuming content on a topic more intensely than its historical baseline. While this provides unparalleled scale for identifying net-new accounts in the early research phase, it comes with a trade-off in accuracy. The signals are modeled and inferred, not direct observations of engagement with a specific brand. [4, 11] Consequently, this data is best used for top-of-funnel activities, such as prioritizing accounts for targeted advertising and identifying market trends, rather than triggering immediate sales outreach without further qualification. Organizations that successfully layer third-party data with other signal types report significantly better outcomes, with some studies showing 47% higher conversion rates. [10]

The B2B market is increasingly defined by the strategic use of implicit intent, which captures the passive, behavioral breadcrumbs buyers leave across the web. Unlike explicit intent, which involves direct hand-raising actions like a demo request, implicit intent is inferred from behaviors like content consumption, search queries, and time spent on a page. [18] This data type, which forms the foundation of most third-party intent solutions, is projected to hold a dominant market share due to its sheer volume and ability to illuminate the early-stage, anonymous research that constitutes most of the buying journey. According to a 2026 market analysis by Mordor Intelligence, the software component of the intent data market, which processes these implicit signals, accounted for over 68% of revenue in 2025. [16] The strategic value lies in using these subtle cues to nurture and influence buyers before they have finalized their consideration set, a critical advantage when 94% of buying groups rank preferred vendors before their first sales contact, according to a 2025 6sense report. [1, 10]

Data Type	Primary Source	Signal Fidelity & Accuracy	Key Use Case	Example Provider / Platform
First-Party Intent	Company's own website, CRM, marketing automation platform	Very High: Direct, observed behavior with minimal latency. [11]	Lead scoring, sales prioritization for known contacts, customer retention	Salesforce (CRM), HubSpot (Marketing Hub)
Second-Party Intent	Partner websites, primarily B2B software marketplaces and review sites	High: Captures active, bottom-funnel evaluation and comparison behavior. [5, 6]	Identifying in-market accounts evaluating competitors, personalizing outreach for active buyers	G2 Buyer Intent [6]
Third-Party Intent	Data co-op of thousands of B2B publisher and media sites	Medium: Broad but inferred; shows topic interest, not direct brand engagement. [4]	Net-new account discovery, top-of-funnel advertising, market trend analysis	Bombora Company Surge® [2]
Implicit Intent	Behavioral signals (e.g., content downloads, dwell time, topic research)	Variable: High volume, lower precision; requires aggregation and modeling. [18]	Audience segmentation, programmatic advertising, nurturing early-stage interest	6sense, Demandbase
Explicit Intent	Direct user actions (e.g., 'Contact Us' forms, demo requests, trial sign-ups)	Very High: Unambiguous, user-initiated requests for contact	Immediate sales follow-up, routing high-value leads	A company's own web forms and chat bots

The 2025 Vendor Landscape: Forrester Wave Leaders and Challengers

The B2B intent data market is dominated by a group of established leaders, with The Forrester Wave™ for B2B Intent Data Providers in Q1 2025 evaluating 15 significant vendors and designating five as 'Leaders'. [2, 9] This critical analysis, which reviewed providers across 21 distinct criteria, identified Intentsify, 6sense, Bombora, Informa TechTarget, and Demandbase as the top tier of the market. [2, 9] Intentsify distinguished itself by achieving the highest score in the 'Current Offering' category, receiving the maximum possible score in 12 of the 21 evaluation criteria. [1, 5] The report underscores a market that is both consolidating and diversifying; while these five leaders set the pace, the evaluation of 15 total providers indicates a healthy, competitive landscape with various players specializing in different data types and activation models. [9, 11] For instance, providers are increasingly classified by their business model, such as traditional data providers, ABM platform providers, and campaign execution firms, each serving different go-to-market needs. [11, 27] This crowded and complex vendor space requires buyers to look beyond a 'Leader' designation and scrutinize how a provider's specific data methodology and platform capabilities align with their internal resources and strategic goals.

The five vendors named Leaders in the Q1 2025 Forrester Wave report each possess unique strengths that define their position in the market. [2, 9] Intentsify's recognition as a Leader, with the top score for its current offering, was driven by what Forrester described as standout capabilities in insight generation and persona-based analysis. [1, 4] The firm's 2024 introduction of the Intentsify Orbit identity graph was noted as one of the most significant recent innovations in the space. [1, 4] The other Leaders, including 6sense, Bombora, Informa TechTarget, and Demandbase, were all recognized for their robust and differentiated offerings. [9, 13, 37] 6sense was highlighted for its deep analytics capabilities and for its role as a centralized platform for both marketing and sales insight. [8, 37] Demandbase earned its Leader status through its highly accurate identity resolution and what Forrester called “exceptional data integration and delivery options,” which support its strategy of being a full go-to-market orchestration partner. [13] You can explore the full Forrester Wave™: B2B Intent Data Providers Q1 2025 report to understand the detailed evaluation. [4] These distinctions highlight that even within the top tier, vendor capabilities are not monolithic, with some focusing on raw data precision and others on integrated platform activation.

A foundational element of the 2025 vendor landscape is the ecosystem of data partnerships, with Bombora's co-op data serving as a critical source for many other platforms. [2, 6] Bombora, itself named a Leader in the Forrester Wave, operates a massive data cooperative by tracking content consumption across a network of over 5,000 B2B websites, giving it broad and often exclusive insights. [9, 14, 31] This foundational data is so integral to the market that several other platforms, including some evaluated in the same Forrester Wave, resell or integrate Bombora's Company Surge® data. [2, 5] For example, fellow 'Leader' Demandbase has a native integration allowing customers to sync Bombora's intent topics directly into the Demandbase One platform. [5, 12, 23] Likewise, sales intelligence platforms like Cognism and Apollo.io leverage Bombora data to power their intent offerings; Cognism embeds Company Surge® data for its Advanced and Elite package holders, and Apollo uses it to help customers find in-market accounts within its database of over 270 million contacts. [6, 25, 26, 28] This syndication model demonstrates the layered nature of the intent data market, where even top-tier competitors often build upon a shared foundation of aggregated third-party signals.

Beyond the designated 'Leaders', the Forrester Wave analysis also identified 'Strong Performers' that offer compelling and often specialized value. [2, 7] Anteriad was prominently named a 'Strong Performer' in the Q1 2025 report, a recognition it also received in the earlier Q2 2023 evaluation. [2, 10, 15] The company achieved the highest possible scores (5 out of 5) in crucial areas like future-proofing data collection, data integration and delivery, and data security and compliance. [2, 7] Forrester's analysis highlighted Anteriad's superior data sourcing, which is enhanced by its outsourced business development services that include calling capabilities in 30 languages, directly improving its ability to source and verify data. [7, 15, 18] This unique blend of data provision and marketing execution services makes Anteriad a notable option for organizations seeking a full-funnel partner. [7] The report from Anteriad notes that customers praised the company's ability to act as an extension of their in-house resources, combining privacy-compliant data with strategic support. [7, 15] This positioning illustrates a key market trend where value is increasingly found not just in the data itself, but in the services and integrations that make it actionable.

Vendor	Forrester Wave™ Category (Q1 2025)	Key Differentiator / Strength	Data Model / Type
Intentsify	Leader	Highest score in 'Current Offering'; persona-based analysis and insight generation. [1, 4, 5]	Aggregates multiple third-party sources and applies AI for 'Precision Intent'. [9]
6sense	Leader	Strong analytics, predictive AI for buying stages, and centralized platform for sales/marketing. [8, 37, 39]	Proprietary intent network plus partnerships with Bombora, G2, and others. [8, 32]
Bombora	Leader	Broadest third-party topic coverage from a data co-op of over 5,000 B2B sites. [2, 14]	Company Surge® data feed from its exclusive B2B data cooperative. [14, 16, 31]
Demandbase	Leader	Accurate identity resolution and strong data integration/delivery options for GTM orchestration. [13, 35]	Proprietary account identification combined with its own intent data co-op and Bombora integration. [5, 23, 31]
Informa TechTarget	Leader	Contact-level intent data from a large network of tech-focused publisher websites. [9]	Primarily second-party intent signals from its owned and operated media properties.
Anteriad	Strong Performer	High scores in data integration, security, and compliance; combines data with marketing execution services. [2, 7, 15]	Multi-source data verified through human-led business development and calling services. [7, 15]

The Real Cost of Intent Data: Platform Fees vs. Total Stack Investment

Enterprise-grade Account-Based Marketing (ABM) platforms represent the highest cost tier for intent data, with annual investments for solutions like 6sense and Demandbase typically ranging from $50,000 to over $150,000. [8] Buyer-reported data from 2026 confirms these figures, with the median 6sense contract landing at $62,820 per year and a typical range of $60,000 to $300,000 annually. [16, 18] Similarly, the average Demandbase contract is reported at $70,000 per year, with deployments spanning from $24,000 to over $164,000. [28] These costs are not just for the software license; they encompass a full suite of predictive analytics, account identification, and advertising orchestration. For example, the 6sense Revenue AI for Sales platform includes predictive models and AI-recommended actions, while Demandbase One offers a native advertising DSP. [14, 24] However, the total cost of ownership often exceeds the initial platform fee, as it requires additional investment in implementation, which can run from $5,000 to $50,000, and dedicated RevOps personnel to manage the complex systems effectively. [27] These platforms are designed for large organizations with significant ABM budgets and the operational maturity to leverage advanced predictive capabilities for market prioritization.

Standalone third-party intent data offers a more focused, and often more moderate, investment compared to full ABM platforms, with providers like Bombora setting the benchmark. A basic subscription to Bombora's Company Surge® product, which identifies companies researching specific topics, generally starts at $25,000 to $30,000 per year. [3, 4, 12] Most mid-market customers, however, should anticipate annual costs between $50,000 and $100,000 for more comprehensive data access, including a larger volume of topics and more frequent data refreshes. [2] This pricing model is distinct from the all-in-one platforms as it provides a signal layer that must be integrated into an existing technology stack, such as a CRM or a sales engagement tool, to be activated. [5] An alternative approach is to purchase intent data as an add-on to an existing sales intelligence subscription. For instance, adding Bombora-powered intent signals to a ZoomInfo SalesOS plan typically costs an additional $5,000 to $15,000 annually, on top of the core platform's price which can range from $14,995 to over $39,995 per year. [1, 6, 9] This bundled approach can be more cost-effective for teams already invested in the ZoomInfo ecosystem, though it may offer less granularity than a direct Bombora deployment. [2]

Accessible entry points for intent data have emerged, making it a viable tool for small and medium-sized businesses (SMBs) without requiring enterprise-level budgets. All-in-one sales platforms like Apollo.io have integrated intent signals directly into their prospecting tools at a fraction of the cost of specialized providers. The Apollo.io Professional plan, priced at $79 per user per month when billed annually, includes buying intent data alongside a massive contact database and email sequencing capabilities. [20, 22] For a single user, this amounts to an annual cost of under $1,000, a stark contrast to the five- and six-figure investments required for enterprise systems. A five-person team on this popular plan would pay approximately $4,740 per year. [20] While these bundled solutions provide a cost-effective entry, the depth of the intent data may be more limited; for example, some Apollo.io plans cap the number of intent topics a user can track. [19, 22] This pricing structure from vendors like Apollo.io demonstrates a significant market shift, democratizing access to buyer signals and allowing smaller GTM teams to prioritize outreach based on active demand without a prohibitive initial investment. [19, 20]

Closing the Activation Gap: From Raw Signals to Qualified Pipeline

Activating intent data effectively begins with accepting a fundamental market reality: only a small fraction of your total addressable market is ready to buy at any given moment. Research from Bombora, based on its analysis of billions of monthly content consumption events, quantifies this challenge, showing that only 15% of business accounts are genuinely 'in-market' for a specific solution at one time. [4] This means that a staggering 85% of accounts, even those showing some research activity, are not in an active buying cycle and are merely conducting routine business research. [4] Attempting to engage this out-of-market majority with aggressive sales outreach is inefficient, wastes significant sales and marketing resources, and risks burning out potential future customers with irrelevant messaging. [4] To solve this, platforms like Bombora's Company Surge® establish a historical baseline of content consumption for each account across a cooperative of over 5,000 B2B websites; the system then flags only those accounts exhibiting a significant spike in research intensity above their normal behavior, indicating a real shift into an active evaluation. This methodology allows revenue teams to focus their expensive resources with precision, concentrating exclusively on the minority of accounts that demonstrate a statistical departure from research noise and a clear entry into a buying journey.

High-performing go-to-market teams translate this understanding of market timing into a disciplined, two-tiered data strategy that separates market-level discovery from person-level activation. The process starts with third-party intent data, which is aggregated from across thousands of publisher websites to identify accounts demonstrating category interest before they have ever visited a vendor's owned properties. [6] This broad-net approach, using tools that track topic surges, is uniquely suited for one job: finding the small subset of accounts that are actively in-market. [6] Once these accounts are prioritized, the strategy shifts to leveraging high-fidelity, first-party data, such as an account's direct engagement with a company's own website, content downloads, or CRM history. [5] This second step validates the third-party signal and provides the specific context needed to trigger personalized outreach. For example, a third-party surge on “cloud security” identifies the target account, but a first-party signal, like a director from that account visiting the pricing page, triggers the sales sequence to that specific individual. This sequential application of third-party and first-party data ensures that sales outreach is not only aimed at the right company but is also delivered to the right people at the moment they are most receptive.

The measurable impact of a well-executed, intent-driven campaign is substantial, significantly outperforming traditional cold outreach benchmarks. A 2026 Tolly Group evaluation of an Apollo.io outbound campaign provides a clear quantitative example of this performance lift. [14] In the live, non-simulated test, a campaign was launched for a new Tolly service targeting 384 prospects across 205 companies identified using intent-based signals. [14] For the 169 contacts who completed the three-email sequence, the campaign achieved a 2.37% conversion rate from cold email to a booked meeting. [14] This result is more than double the low end of the cited industry benchmark range of 0.5% to 1.5% for similar cold outreach efforts, demonstrating a clear return on investment. The methodology combined AI-assisted company targeting with business signals to improve precision, achieving a 94.01% email deliverability rate which underscores the foundational role of data quality. By focusing outreach on accounts already signaling a need, the campaign moved beyond speculative prospecting and engaged a pre-qualified audience, leading directly to a higher rate of sales-accepted opportunities and a more efficient pipeline generation engine.

Closing the activation gap requires moving beyond account-level signals to address the growing complexity within the B2B buying committee itself. Modern purchasing decisions are no longer made by a single individual but by a distributed group of stakeholders. According to Forrester's 2024 'The State of Business Buying Report,' the average B2B buying group now involves 13 different stakeholders, with many decisions crossing multiple departments. [7] This means an intent signal from a single person at a target account is merely the opening scene, not the entire story. The buying committee for a complex solution typically includes a mix of roles, from end-users and technical evaluators to economic buyers and legal gatekeepers, each with distinct priorities and information needs. [2] Consequently, relying on a single point of contact is a critical failure point. To succeed, sales teams must pair account-level intent data with robust contact discovery tools to proactively identify and map the full decision-making unit. This allows for a multi-threaded engagement strategy where tailored messaging can be deployed to each relevant stakeholder, building the internal consensus required to navigate a complex purchase and move a deal forward.

Frequently Asked Questions

What is the difference between first-party and third-party intent data?

First-party intent data reveals what buyers do on your own digital properties, making it highly accurate for identifying accounts already aware of your brand. [4] It includes signals like website visits, content downloads, and email engagement that you collect directly. [12] In contrast, third-party intent data aggregates behavior from thousands of external publisher sites to show which companies are researching topics related to your category, providing a broader but less precise view of market interest. [15, 16] The most effective strategies combine both, using third-party data for early-stage prospecting and first-party signals for timing and qualification. [4, 11]

How much does B2B intent data cost in 2024?

The cost of B2B intent data in 2024 varies widely, from accessible entry points to significant enterprise investments. Platforms like Apollo.io offer plans with intent features for around $79 to $119 per user per month, making it a common starting point for smaller teams. [10, 33] In contrast, enterprise-grade platforms such as 6sense or Demandbase often range from $50,000 to over $150,000 annually, as they bundle intent signals with advanced analytics and activation capabilities. [14] Standalone data providers like Bombora typically start around $25,000 to $30,000 per year, with costs scaling based on the volume and specificity of the topics monitored. [17]

Which companies are the leaders in B2B intent data?

The recognized leaders in B2B intent data for 2024 include a mix of large-scale ABM platforms and specialized data providers. A Q1 2025 Forrester Wave report identified Intentsify, 6sense, Bombora, Informa TechTarget, and Demandbase as the five market Leaders. [7] Among these, Intentsify received the highest score for its current offering. [22] Bombora is often considered the industry standard for third-party data due to its extensive data co-op, and its signals are resold or integrated by many other platforms in the ecosystem. [7, 33]

What percentage of B2B companies use intent data?

In 2024, B2B intent data adoption has become widespread, with some reports indicating that 91% of marketers use it for prioritizing accounts within their ABM programs. [6, 8] This high adoption rate among active marketers contrasts with other studies suggesting only about 25% of all B2B companies have integrated these tools, pointing to a significant gap between early adopters and the broader market. [1, 3] However, the trend shows rapid growth, with a large majority of marketers planning to increase their investment in intent data. [36] This surge is driven by the need for better signal precision in account-based strategies and the expansion of the B2B dark funnel. [8]

How is the ROI of intent data measured?

The ROI of intent data is measured by tracking its direct impact on pipeline and revenue, not just top-of-funnel activity. Key metrics include improvements in opportunity conversion rates, reduced sales cycle length, and higher win rates when comparing intent-qualified accounts against a control group. [2, 27] A direct financial calculation compares the cost of the intent data tool to the additional revenue generated from deals it sourced or influenced. [23] Many teams also measure efficiency gains, such as a lower cost-per-opportunity and higher meeting-to-opportunity conversion rates, to demonstrate value. [2, 27]

Is Apollo.io a good source for intent data?

Apollo.io is considered a good entry-level source for intent data, particularly for small to mid-sized teams that need an all-in-one prospecting and engagement platform. [21, 29] Its intent signals are primarily sourced from a partnership with Bombora, providing account-level topic surges directly within its workflow. [10, 18] However, its limitations include providing only account-level signals without identifying the specific person researching, and some users report its data accuracy is lower than advertised, especially for international contacts. [18, 29] For teams requiring deeper predictive analytics or multi-source signal fusion, more advanced platforms like 6sense or Demandbase are often recommended. [10]

Last updated: August 2026

B2B Intent Data: 2024 Adoption & Impact Benchmarks