Intent Data Statistics By Providers And Strategy (2026)

Introduction

Intent Data Statistics: Intent data has played a vital role in modern-day B2B prospecting, as buyers are performing extensive research about solutions before they let a vendor know about themselves. The best strategy in 2026 combines various important tools like first-party engagement signals with third-party account research signals, along with buying-group intelligence, combined with proper human validation.

The intent data statistics below will include the market trends, strategies, buyer intent, and ROi in 2026.

Top Featured

1. 67% of B2B buyers are in favor of a rep-free buying experience, indicating the urgent need for an efficient self-service research journey.
2. Around two-thirds of B2B companies are using both first-party and third-party intent data to understand the activity that buyers are performing.
3. Half of the leaders stated that intent data enhances sales and marketing synergy due to having a common perspective on buyer activities.
4. 56% of B2B respondents said that data quality is the biggest challenge while applying intent signals.
5. More than 70 % of B2B firms give preference to third-party intent data while searching for potential clients.
6. Expectedly, the intent data software market is expected to rise from $4.75 billion in 2026 to $10.31 billion by 2031, which gives a 16.84% CAGR.
7. In digital advertising targeting, 67% of the teams utilize intent data. 
8. Market intelligence follows closely at 62%, while lead generation is employed by 57% of teams.
9. According to research conducted by 6sense in 2025, in 95% of cases, the vendor selected as a winner was previously included by a buyer in the Day One shortlist.
10. LLMs are used by 89% of B2B customers during research, indicating a widening gap in traditional intent-data visibility.
11. DemandScience states that 70% of B2B respondents indicated that signal quality was the greatest challenge related to intent data.

What Is Buyer Intent Data?

• In terms of analysis, buyer intent data refers to a combination of signals indicating that a person, organization, or buying group is looking into a particular difficulty, category, product, or solution.
• Signals of this kind can be given by visitor traffic to a specific website, usage of certain content, communication on review sites and events, checking price lists, usage of products, filling in forms, making transactions, or engaging in other activities outside the company.
• When assessing the activity of an account in a certain category, a company can participate in vendor comparisons, prepare some activities in advance, gather knowledge for colleagues, assess existing solutions, or even do research on the urgency of a problem.
• The bottom line is that businesses should not be concerned only with the question of whether the account has the intention of buying. 
• Instead, the source, strength, time of the signal, and context have to be determined because buyers are capable of performing the majority of research themselves, thus indicating the necessity of knowing when and how to approach the account.

Buyer Intent Providers

Buyer Intent Data Statistics Shaping B2B Strategy

(Source: only-b2b.com)

• The data relating to buyer intent is emerging as a meaningful link among buyer behavior, content, sales, and marketing decisions. 
• Two-thirds of B2B firms are utilizing both third-party and first-party data sources. 
• While first-party signals help reveal what prospects are doing on owned media, third-party data enables capturing events that took place before prospects even came to the company website. 
• Half of the leaders surveyed believe that intent data enhances the alignment between sales and marketing departments. 
• Indeed, a common understanding of the prospects’ activities may help both teams create shared ground for campaigning, prioritizing their efforts, and reaching out to customers.
• 56% of B2B respondents think the biggest challenge lies in the quality of data used.
• A lot of data does not mean making better decisions; the information should have a high degree of accuracy and relevance, and enable achieving tangible sales results.
• Over 70% of B2B firms think third-party intent data is better than their own methods while targeting buyers. 
• The statistics show how businesses value insights about their targets before official interaction with their content.
• Good intent strategies mostly depend not on collecting signals but on optimal use of the gathered information.

Intent Data Software Statistics

• From the perspective of an analyst, intent data software is no longer a narrow marketing tool; it is widely used in the revenue technology stack. 
• According to Mordor Intelligence, the world intent data software market will increase from $4.75 billion in 2026 to 10.31 billion by 2031.
• Teams are now expecting intent platforms to sync up with marketing automation tools, ABM tools, and CRMs and trigger tasks, alerts, or changes in audiences without too much manual interference.
• According to a 2026 industry review, 67% of companies rely on this data for online advertising targeting, followed by 62% of companies using it for market and competitive intelligence, and 57% of organizations that apply this data for lead generation.
• The results indicate that the intent data usage has gone beyond outbound prospecting. Now it is also being applied to advertising, creating intelligence, and building a pipeline. 
• For revenue teams, once again, the value of this data comes from the ability to link these signals to the workflows and make buyer activity drive actions through the funnel.

The Dark Funnel: Why Buyer Intent Data Is Important

(Source: omnibound.ai)

• The term ‘dark funnel’ refers to the phase of the B2B buying journey that occurs before the sellers are able to monitor the activities of the buyer. 
• According to the 2025 Buyer Experience Report by 6sense, which followed approximately 4000 buyers for three years, 95% of buyers have chosen their vendors by Day One, and 94% of buyers conduct their research before contacting a vendor. 
• Additionally, pre-contact preferred vendors have a success rate of 77% in terms of pure sales.
• According to 6sense, 60% of the buyer’s journey is now made up of independent research instead of the previous 70%. 
• The average length of the buying process has reduced from 11.3 months to 10.1 months in 2025, and buyers are contacting vendors earlier than before.
• According to 6sense, 89% of B2B buyers use LLMs to conduct their research, primarily to synthesize reviews and analyze information. 
• Forrester research conducted in 2025 found that in 92% of cases, B2B purchases were initiated with a vendor in mind, while in 41% of cases, buyers had already chosen their preferred vendor even before they started the formal evaluation phase. 
• Essentially, the combination of the findings shows that the intent strategy must go beyond simple leads and website behaviour by understanding previous research habits and account signals.
• AI-based means of lead scoring will allow revenue departments to have access to the information on how users make their decisions after the sellers have initiated contact with them.

Pipeline and ROI Impact of Intent Data

• The strongest benefits of intent data can be derived from tracking strong buyer signals and linking them to CRM systems, scoring models, and activation workflows. 
• According to the estimates, the impact of the implementation of intent data is not limited to getting more leads, as it also has the potential to improve the quality of opportunities.
• According to data from 6sense’s platform for 2024, companies pursuing 6sense Qualified Accounts (6QAs) experienced 99% larger deal sizes than opportunities sourced from non-6QAs and produced three times more leads per company. 
• The biggest economic advantage might emerge farther down the funnel, with the behavioral ICP scoring proving to be connected to 39%-40% MQL-to-SQL conversions, which is substantially higher than an average 13% conversion rate in the same industry.
• The above statistics show that intent provides value in terms of sophistication of qualification and quality of opportunities and activation rather than lead volume.

Data Privacy and Compliance in Intent Data

• Nowadays, data privacy has become an important requirement of procuring intent-data program products. 
• According to the GDPR, there should be an account of several points that an organization should fulfil – legitimate basis for data processing, transparency of the information, minimal amount of processed data, and others. 
• The European Data Protection Board points out that legitimate interest should be justified by three factors. 
• While direct marketing has the right to introduce practices under GDPR Recital 47, it does not mean that one can track user activities without any legal basis. 
• In California, CCPA/CPRA establishes rights, which include the ability to opt out of the sale or the sharing of personal data. 
• The California Opt Me Out Act introduces another requirement: all browser providers must begin to offer an opt-out preference signal by January 1, 2027.
• 6sense claims to comply with both CCPA/CPRA and GDPR, while ZoomInfo also claims to have received validations by TRUSTe for CCPA and GDPR and obtained ISO 27001 and 27701 certifications.
• All in all, it is useful for organizations using privacy-ready intent programs to focus on the usage of first-party data that is collected based on a consent mechanism, signals obtained at the account level, provenance of data, and clarity in the retention of data.

Barriers and the AI Intent Data Gap

• The use of intent data is encountering two principal obstacles with the increasing digitization and AI advancement of the B2B research sphere. 
• According to  6sense research 2025, 89% of B2B purchasers have employed any AI tool(s) or service(s) in their research efforts, especially for synthesizing vendors’ messages or reading reviews.
• Classic intent tools usually cannot record the processes of AI influence on gaining information, thus creating a gap between the point of interest where potential buyers are and where the intent data comes from.
• According to the findings released by DemandScience for 2026, 70% of B2B interviewees state that they face difficulties due to the quality of signals received from the vendors. 
• While the importance of intent data in the market has grown, the real-life application of it has not brought a solution to organizational complexity issues. 
• 45% of respondents have difficulties with integrating the tools, and about 60% have trouble choosing the vendor.
• Intent data must develop in a manner that extends it beyond merely having the ability to monitor website activities. 
• As artificial intelligence becomes more prominent in regard to potential buyers who are in the early stages of research, businesses will be driven towards a more comprehensive understanding of the process through which buyers identify and assess vendors.
• Futuristic intent intelligence will involve the combination of established signals of web activity with AI visibility, improved data governance, and enhanced integration of systems. This may provide a wider understanding of demand by revenue departments even before buyers reach traditional sales channels.

Conclusion

Insightful information concerning buyers is becoming an important component with regard to B2B revenue intelligence, but its effectiveness greatly depends on the quality of signals, the context of the situation, and the timing of data implementation. According to research results, modern buyers tend to conduct independent vendor evaluations, with 89% of them using LLMs during the research process, and 95% of winning vendors being present in the Day 1 shortlist.

A great number of respondents (56%) acknowledge the significance of data quality as a major problem within the industry, while other barriers are related to integration and supplier selection matters. Thus, the development of Buyer Intent Intelligence requires an improvement in signals, better data governance, more efficient AI-powered searches, and improved integration with CRM systems. What analysts need to concentrate on is actionable signals rather than signal quantity only.

FAQ