B2B Technology Statistics for Software Buyers
B2B technology statistics can help a buying team understand how other organizations research, evaluate, and implement software. They cannot tell that team which product will fit its own operating model. The useful distinction is between evidence about a buying process and evidence about a particular purchase.
That distinction matters when a report combines spending intentions, self-directed research, and implementation support. Those findings may come from different questions, periods, and respondent groups. They should not be turned into a single buyer journey unless the source follows the same people through those stages.
Historical surveys from G2 and TrustRadius offer practical context for software procurement. Their strongest use is to improve the questions buyers ask and the evidence they collect, while keeping the original survey dates and populations visible.
Key Statistics and Data
- Spending intentions: G2’s 2024 report found that 52% of buyers expected their software and technology spending to increase in 2025.
- Information sources: In the same report, 31% named public product review websites as the source they consulted most, up from 23% in 2023.
- Implementation support: G2 reported that 69% said service providers or implementers are a factor in their software decisions, and 38% start considering them during the research phase.
- AI search exposure: TrustRadius’s 2025 study reported that 72% of buyers encountered Google AI Overviews during research. Encountering a result does not establish reliance on it or a purchase caused by it.
Start With the Survey Method
G2’s software buyer survey covered 1,940 B2B decision-makers and was published in June 2024. Its spending question concerned expectations for 2025. A report published later should preserve that timing rather than describe the answers as current spending behavior.
The distinction between expectation and outcome is important. A buyer can expect a budget increase and later face a freeze, a delayed project, or a change in priorities. Without follow-up evidence, the survey cannot establish how much was spent or whether the expected increase occurred.
TrustRadius’s buyer trust findings came from a 2025 study with 2,058 buyers and 490 vendors. Those are separate respondent groups. Combining them into one undifferentiated buyer sample would misstate the method and could distort the interpretation of questions asked only of one group.
Diagram
Start With the Survey Method
- G2 Buyer Behavior Report
- TrustRadius buying study
| Source | Respondents | Period | Appropriate Use |
|---|---|---|---|
| G2 Buyer Behavior Report | 1,940 B2B decision-makers | Published June 2024 | Historical buyer behavior and stated 2025 spending expectations |
| TrustRadius buying study | 2,058 buyers; 490 vendors separately | 2025 study | Attributed findings for the relevant respondent group |
Before quoting a percentage, record the question, respondent population, and time reference. That simple step prevents a historical intention from becoming an invented current fact. It also helps reviewers distinguish a real disagreement between sources from a difference in what they asked.
Self-Directed Research Changes the Evidence Buyers Need
The G2 findings indicate that many respondents leaned on peer review sites rather than vendor material during research. For a buying organization, the practical implication is to make independent research systematic. A collection of bookmarked product pages is not yet an evaluation.
Start with the business problem and the conditions a solution must satisfy. Describe the workflow, the data it uses, the users who perform it, and the result that counts as successful. These requirements become the basis for checking vendor claims and planning demonstrations.
Separate capability from entitlement. A supplier may offer a feature somewhere in its portfolio without including it in the quoted tier. Similarly, a product may support an integration in principle while the required connector, access level, or implementation work falls outside the initial proposal. HubSpot Enterprise shows how seats, objects, and entitlements need to be checked against the quoted tier. A HubSpot vs Salesforce comparison shows why matching plan names do not establish matching capabilities. The same check applies when comparing the best password manager plans for a team. Leaders choosing among many projects need project portfolio management software rather than another task tool.
Broader SaaS revenue and adoption evidence can provide market context, but it does not answer these questions. A widely adopted category may still contain products with very different limits, pricing units, and administrative requirements. Popularity is not a substitute for verifying the specific configuration the organization intends to buy.
Useful B2B technology statistics should lead to a better evidence request. If buyers lean on reviews and their own research, the response is to define the evidence they need: documented entitlements, realistic workflow demonstrations, commercial assumptions, and a testable implementation plan. More research activity alone does not guarantee a better decision.
Treat AI Search as Discovery, Then Verify the Claim
The TrustRadius finding about Google AI Overviews describes exposure during research. It does not establish that buyers accepted the summaries, selected a vendor because of them, or achieved a better outcome. Those would require different questions and evidence.
For a procurement team, an AI-generated summary can help identify terminology or potential options. The consequential claims still need to be checked against the relevant primary source. Pricing belongs with the current catalog or quote. Access behavior belongs with the applicable technical documentation and a tested scenario. Contractual commitments belong in the agreement.
This is especially important when evaluating AI products themselves. Evidence about AI investment and production use operates at a different level from evidence that a particular agent can safely complete a task. Funding totals and adoption surveys do not establish runtime identity, data access, approval handling, or cost per accepted result.
Keep a short claim record during evaluation. For each important statement, note the source, scope, date or release where relevant, and the test needed to confirm it in your environment. A summary that omits a limitation should not become more authoritative merely because several comparison pages repeat it.
The goal is not to eliminate assisted research. It is to prevent the convenience of a summary from erasing the detail on which a purchase depends. The closer a claim sits to price, security, implementation, or contractual obligation, the more directly it should be verified.
Evaluate Implementation Before Selecting the Product
G2’s implementation findings suggest that external help was relevant to many respondents. A service provider being a factor in the decision does not establish that the buyer hired one, or what that help cost. Treat the finding as a prompt to plan implementation, not as a measure of partner use.
For your own purchase, decide which implementation work must be completed and who is accountable for it. Data migration, integration, identity configuration, workflow design, training, and acceptance testing can involve different owners. A vendor demonstration rarely proves that these responsibilities have been resolved. For an ERP system, that work starts with one order traced from sales to finance. The same applies to CRM software for small companies and cloud-based project management software, where seat price rarely equals total cost.
Ask a prospective implementation partner to describe deliverables in terms that can be accepted or rejected. “Configure the platform” is too broad. A more useful scope identifies the processes, data objects, integrations, environments, training, and evidence that will be delivered, together with assumptions and exclusions. Reporting purchases follow the same rule: accept business intelligence software only after it reproduces an agreed total. Marketing purchases need the same evidence; compare AI tools for marketing by approved output, not generated drafts.
The buyer also needs an internal owner. External expertise does not remove the need for decisions about data meaning, business rules, access, or operational support. If those decisions are unavailable, a technically competent implementation can still stall or produce a system the business does not use as intended.
B2B technology statistics can establish that implementation support is a common buying consideration in a survey. They cannot establish the right partner, scope, or budget for your organization. Those decisions require a statement of work connected to the actual operating model.
Use a Procurement Evidence Matrix
A compact matrix helps a cross-functional team compare proposals without reducing the decision to a long feature checklist. Each row should connect a requirement to evidence and an accountable reviewer.
| Decision Area | Evidence to Request | Acceptance Question |
|---|---|---|
| Workflow fit | Demonstration using a representative process | Can the required work be completed under realistic conditions? |
| Entitlement | Current product, tier, seat, and limit documentation | Is the quoted purchase sufficient for the proposed use? |
| Integration | Dependency map and test results | Does data move correctly, with failures visible to an owner? |
| Security and access | Role model and allowed/denied test cases | Do users and automation receive only the intended access? |
| Commercial fit | Quote, usage assumptions, renewal and exit terms | Are the compared costs based on the same scope and period? |
| Implementation | Named deliverables, owners, and acceptance tests | Is there a credible route from contract to operational use? |
For infrastructure-related purchases, include the relevant cloud deployment models rather than assuming that “cloud” describes one architecture. Public, private, community, and hybrid deployment questions differ from the service-model distinction between SaaS, PaaS, and IaaS. Confusing those axes can obscure responsibilities in a proposal. Local options such as a virtual machine for Mac need the same responsibility check.
Keep unresolved requirements visible. A blank evidence cell is a decision issue, not a reason to award a neutral score and move on. Some gaps can be accepted with an explicit condition; others should prevent approval until tested. The team should agree which requirements are decisive before comparing vendors.
Make the Commercial Comparison Operationally Realistic
A useful cost comparison includes the period in which old and new services overlap. It also includes implementation, retained products, support, and any work required to exit the current arrangement. Omitting these costs makes a replacement look simpler than the operating plan supports.
Separate quoted amounts from assumptions. A supplier’s published starting price is not the same as a negotiated proposal for your user population and usage. A projected reduction in licenses is not an achieved saving until the organization can change the commitment or renewal.
Test the proposal against a few plausible changes in demand. What happens if more users need a specialized seat? What happens if an automated workflow consumes more credits than expected? What happens if migration takes longer and the incumbent contract renews? The point is to expose the variables that matter, not to manufacture a precise forecast from uncertain inputs.
Document the decision in a form that the operational owner can use after procurement ends. Preserve the assumptions, required controls, accepted limitations, and conditions for expansion. Otherwise, the organization may buy one scope and gradually operate a different one without revisiting cost or responsibility.
Use Buyer Research to Improve the Process
The best B2B technology statistics provide context for a disciplined purchase. The surveys here show historical spending expectations, heavy use of peer review sites, implementation-partner consideration, and exposure to AI search summaries. They do not identify a universally correct buying process or product.
Use the evidence to strengthen your own process: verify important claims at the source, evaluate implementation early, and compare costs on a consistent basis. Give each unresolved requirement an owner and a next action.
A purchase is ready when the organization understands what it is buying, how it will be implemented, and what evidence will demonstrate success. A large amount of research is useful only when it produces that clarity.
A practical buying meeting should end with a decision record rather than another list of links. Name the preferred option, the evidence supporting it, the unresolved conditions, and the person responsible for each condition. If approval depends on a successful integration test or a revised quote, state that dependency explicitly. The implementation team can then see why the product was selected and what still has to be demonstrated. This also makes a later scope change easier to review because the original assumptions remain available.
Frequently Asked Questions
Do the G2 Spending Figures Describe Actual 2025 Spending?
No. They describe expectations reported in a survey published in June 2024. The 52% finding should remain labeled as an intended increase, not an achieved one. Actual spending outcomes require separate evidence collected after the relevant period.
Does AI Search Exposure Mean Buyers Trust the Answer?
No. Encountering an AI Overview is different from relying on it, accepting its claims, or making a purchase because of it. The cited finding establishes exposure among the surveyed buyers, not those additional behaviors.
Should Every Software Purchase Use an Implementation Partner?
No. The appropriate support depends on the work, internal capacity, complexity, and consequences of failure. Define the implementation tasks first, then decide which require external expertise and which the organization can own and validate internally.
What Makes Buyer Statistics Comparable?
Comparable findings need sufficiently similar populations, questions, periods, and definitions. Before combining these figures, check whether they concern buyers or vendors, intentions or outcomes, and the same stage of purchasing. If those conditions differ, present the findings separately.
Resources
G2’s 2024 Buyer Behavior Report provides the historical buyer findings, with methodology on page 39. TrustRadius’s 2025 B2B buying study provides the AI Overview finding and separate buyer/vendor sample sizes. Both primary sources are linked in the methodology section.