The IIABA Market Share Reports are the canonical multi-decade time series for property/casualty insurance distribution-channel share in the United States. Since the mid-1990s, the Independent Insurance Agents & Brokers of America has worked with A.M. Best to publish annual snapshots of premium written and market share split across four distribution channels, spanning every major P&C line at both national and state levels. This Pillar indexes that corpus and translates it into the channel dynamics that matter for agency-M&A analysis.
The data answers a single load-bearing question: how is the independent-agency channel performing against captive carriers and direct-response writers across each major line, and where is share moving? The answer shapes which agency archetypes are most acquirable, which lines drive valuation premiums, and where buyer demand concentrates. The IA channel is the supply side of the agency-M&A market — so channel-share dynamics are, indirectly, M&A-supply dynamics.
§ 01 · The four-channel taxonomyThe fixed four-bucket split.
All IIABA data uses a fixed four-channel taxonomy. Understanding the buckets is the prerequisite for reading any of the data correctly.
| Channel | Definition | Examples |
|---|---|---|
| National IA | National-footprint independent agencies | Large brokers, national consolidators |
| Regional IA | Regional-footprint independent agencies | The bulk of the independent universe |
| Exclusive / Captive | Single-carrier captive agents | State Farm, Allstate, Farmers, Nationwide |
| Direct Response | Carrier-direct, no agent intermediary | GEICO, Progressive direct, USAA personal auto |
The first two channels — National IA and Regional IA — combined are "the IA channel," the supply side of the agency-M&A market. The data spans Private Passenger Auto, Homeowners, Commercial Auto, Commercial Multi-Peril, Workers' Compensation, and aggregate Personal and Commercial totals.
§ 02 · IA commercial dominanceThe 79–85% commercial pool.
The most consequential fact in the channel data for M&A purposes: the IA channel writes 79–85% of commercial-lines premium, consistently, across the entire 2009–2019 series. National and regional IAs split that share roughly 50/30 to 49/35 over time. The IA channel's commercial dominance is structural and durable — commercial lines require the advisory, risk-assessment, and relationship-management capabilities that the captive and direct-response channels do not provide at scale.
The M&A implication is direct. Commercial-heavy books are scarcer and command premium multiples because every PE-backed regional roll-up and national consolidator is fishing in the same ~84% pool. Buyer appetite concentrates on commercial-line share for institutional buyers — the commercial book is what the consolidation thesis values most. A target agency's commercial-lines concentration is therefore a valuation tailwind, and a buyer's appetite model weights commercial-line share heavily for the institutional buyer profile.
The IA channel writes 79–85% of commercial-lines premium. Commercial-heavy books are scarcer, more defensible, and command premium multiples — because every consolidator is fishing in the same pool.
§ 03 · Personal-lines erosionThe direct-response auto story.
The personal-lines picture is the inverse of commercial. IA share of personal lines has hovered in the 33–36% range across the series — meaningful but minority — and the trend has been erosion, concentrated in private-passenger auto.
| Personal-lines metric | 1995 | 2019 |
|---|---|---|
| National IA personal share | ~15% | ~9% |
| Direct response personal share | ~6% | ~20% |
| Direct response in private-passenger auto | low single digits | ~26% |
| Regional IA personal share | ~18% | ~26% |
The story the table tells: direct-response writers moved from ~6% of personal lines in 1995 to ~20% in 2019, with virtually all of the gain inside private-passenger auto (now ~26% of that single line). National IAs lost personal-lines share over the same window (~15% to ~9%). Direct response writes under 1% of commercial lines and remains modest in homeowners (~7–8%) — the erosion is an auto-specific phenomenon, not a general IA-channel collapse.
The M&A implication: personal-lines-heavy books, especially auto-concentrated ones, face structural substitution pressure from direct response. That compresses multiples for PL-focused agencies and explains why a partial-exit seller often sells the PL slice first. A buyer's appetite model leans PL-friendly only for specific buyer profiles (tuck-in growers, geographic extenders targeting captive-orphan books), not for the institutional buyer.
§ 04 · The captive declineWhere the personal-lines share went.
The captive channel is the source of most of the personal-lines share that direct response captured. Captive market share of personal lines declined from ~59% in 1995 to ~44% in 2019 — a 15-point structural erosion. Most of the lost share went to direct response, with regional IAs picking up smaller gains.
The regional-IA resilience is the under-appreciated counter-trend. Regional IAs grew personal-lines share over the 25-year window (~18% in 1995 to ~26% in 2019), often the only IA channel actually adding personal-lines share. The dynamic: as captive carriers shed personal-lines share, some flowed to direct response (the auto-heavy, price-driven segment) and some flowed to regional IAs (the advisory-driven, bundled segment). The regional IA captured the captive orphans who wanted an agent relationship rather than a direct-response transaction.
The M&A implication: captive-orphan books — personal-lines clients displaced from declining captive agencies who want an independent-agent relationship — are an acquisition opportunity for the right buyer profile (geographic extenders, tuck-in growers building personal-lines density in captive-weak geographies).
§ 05 · State-by-state concentrationChannel share by geography.
IA channel share varies dramatically by state — a fact with direct implications for geographic acquisition strategy and content surface mapping.
The IA channel is strongest in commercial in states like Michigan, West Virginia, Hawaii, Kansas, and Pennsylvania (87–90% commercial IA share) and strongest in personal in Massachusetts, Vermont, Maine, Florida, and South Dakota (47–69% personal IA share). The channel is weakest in southwestern and western states historically dominated by State Farm and Allstate — the captive strongholds.
The geographic dispersion shapes acquisition strategy. High-IA-share states are deeper pools of acquirable agencies, but also more competitive consolidation territory. Low-IA-share states (the captive strongholds) carry captive-conversion opportunity — the regional IA that builds personal-lines density by capturing captive orphans. A buyer's geographic targeting should reflect the state-level channel-share map, not treat the U.S. as a uniform market.
§ 06 · What channel mix means for valueThe valuation line-mix sensitivity.
The channel data feeds directly into agency valuation through line-mix sensitivity. The line-mix realities the IIABA data exposes are not valuation-irrelevant; they are a structural input to the multiple.
- Commercial multi-peril and workers' comp books sit in IA-dominated lines with stable pricing power — a multiplier tailwind. The consolidation thesis values them most.
- Personal-auto books face structural pricing pressure from direct response — a multiplier headwind. Substitution risk depresses the defensible multiple.
- Homeowners books are a mixed picture (~45% captive, ~47% IA, ~7% direct, with direct response showing the highest growth rate) — neither clear tailwind nor clear headwind.
- Commercial-heavy books overall command premium multiples from institutional buyers because of the scarcity-plus-defensibility combination the 79–85% commercial dominance produces.
The valuation discipline: a deterministic valuation model should not pretend channel mix is irrelevant. The line-mix composition of a book — how much sits in IA-dominated commercial lines vs. direct-response-pressured personal auto — is a structural adjustment to the base multiple, and a sophisticated valuation reflects it. The seller-side critical factors of agency value cluster operationalizes line-mix as a value driver.
§ 07 · Reading the data correctlyThe restatement caveat.
One methodological discipline governs all channel-share analysis: the data-restatement caveat. A.M. Best restates prior-year share when carriers report adjustments, so the numbers in earlier reports may not match the same data year as restated in later reports. The discipline: always cite the report year, not just the data year. "2017 share per the 2019 report" is a different (and more accurate) figure than "2017 share per the 2017 report."
The restatement caveat is the channel-share analog of the source-aware-citation discipline that governs the agency benchmarks Pillar. The pattern is the same: data-forward market analysis requires precise provenance, because the same nominal metric can carry different values depending on which vintage and which methodology produced it.
IIABA channel share is the distribution-structure Pillar of the market theme. It pairs with the agency benchmarks Pillar (the channel data complements Future One's agency-universe data) and informs the buyer-side and seller-side line-mix valuation work. It is the empirical foundation for any claim about where the independent-agency channel is winning and losing share — and therefore which agency archetypes the consolidation engine values most.