2026 Realtor Technology Time Savings: What NAR Measures
The 2026 Realtor technology report does not quantify time savings. Brokerage managers need evidence of hours saved, completed work and quality.
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Read 2026 Realtor technology spending bands, survey limits and adoption barriers to compare budgets without mistaking peer spending for a target.
The largest group in NAR’s 2026 Realtor technology spending results, 36% of respondents, reported spending $50–$250 a month. The findings, released September 22, 2026, describe respondents’ spending but establish neither an average dollar budget nor an optimal set of tools.
NAR’s June survey measured average monthly technology-tool spending over the previous 12 months for respondents’ individual real estate businesses. These are retrospective answers, not September subscription bills. The original report, page 5, publishes five categories:
| Monthly spending category | 2026 respondents |
|---|---|
| Less than $50 | 18% |
| $50–$250 | 36% |
| $251–$500 | 19% |
| More than $500 | 22% |
| Not applicable | 6% |
The first four figures also appear in NAR’s release. The published shares total 101%, consistent with rounding. Keep those percentages intact when making comparisons, and do not treat nonapplicable responses as zero-dollar spending.
The measure covers technology tools broadly, rather than software subscriptions alone. It does not itemize purchases or allocate costs between agents and brokerages. The 2026 edition also omits the separate lead-generation spending and tool-provider charts found in the 2025 report.
Those omissions limit budget comparisons. An agent’s own invoices and the cost of every tool available through the brokerage cover different expenses. Define which costs you are counting before benchmarking.
An exact mean cannot be recovered from these bands. You would need actual spending amounts, including those above the open-ended $500 threshold. Assigning midpoints to the closed bands and inventing an amount for the highest band would produce an estimate dependent on those assumptions.
Consider a hypothetical illustration: monthly expenses of $600 and $6,000 both belong in the highest category. Substituting one for the other changes a dollar average while leaving the category unchanged.
A median band can be inferred. The two lowest published shares total 54%. Excluding nonapplicable responses, the middle spending response falls within $50–$250. That is our inference from the distribution, not a median dollar amount reported by NAR. Neither $150 nor either endpoint can be presented as the typical agent’s measured budget.
For real estate technology decisions, the distinction is practical: spending above the most common band does not establish overspending, and spending below it does not establish efficiency.
NAR reports that 63% cited the learning curve and 59% cited cost as adoption challenges. These shares should not be added as mutually exclusive groups or interpreted as percentages who abandoned a purchase. Saving time and improving client experience were adoption goals for 81% and 71%, respectively. These are reported motivations and barriers, not measured hours saved or financial returns.
For a brokerage buyer, the responses suggest testing both affordability and usability. A pilot can record the subscription fee, setup work, training hours and support requests alongside whether agents complete the intended task successfully.
Define the outcome before the pilot starts. For a follow-up tool, that might be fewer overdue contacts without more corrections or complaints. A goal such as saving time becomes useful procurement evidence only when the brokerage measures what changed.
The spending charts use matching measure titles, dollar bands and a nonapplicable category. In the 2025 chart, page 7, the five shares were 15%, 34%, 20%, 24% and 8%, in the same order as the table above.
That supports a descriptive comparison: the $50–$250 share rose two percentage points, while the above-$500 share fell two points. It does not demonstrate that the same agents reduced spending or establish a statistically significant change.
Neither edition supplies the complete questionnaire or spending-item response count. Matching published labels therefore cannot verify unchanged question routing or exact denominators. Keep the nonapplicable category in both years; excluding it from only one would change the comparison.
Brokerage support requires a separate qualification. In 2025, 39% reported receiving transaction-management tools through their broker. That measured how tools were provided, not their dollar value, and is not a 2026 support estimate.
NAR’s June 2026 online survey invited 73,718 randomly selected active members and received 1,165 usable responses. The trade association reports a 1.5% response rate and approximately ±2.85 percentage points of sampling error at 95% confidence. Respondents were 62% sales agents and 12% associate brokers. See the methodology on page 15.
Random invitations do not eliminate differences between people who answer and those who do not. A low response rate alone does not prove bias, either. As AAPOR’s survey-quality guidance explains, nonresponse bias depends on those differences, while sampling error captures only one source of uncertainty.
As with other housing industry data and reports, the population matters. These member-survey findings do not establish the spending distribution for every licensed agent, a particular local market or your firm.
For brokerage operating strategy, use the bands as a prompt for an internal spending review. Record agent-paid expenses separately from brokerage-paid access, identify overlapping subscriptions, and pair costs with actual usage. Keep setup and training visible when comparing proposals.
Before the next renewal, connect each tool’s cost to a specific task and an observed result. That gives the spending decision evidence from your own business.
Written by
The Housing Current Editorial Team
Editorial Team
Reporting, analysis, and practical explainers across housing markets, mortgage finance, real estate business, investing, policy, and homebuilding.
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