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A signal-driven view of AWS’s addressable market

We synthesized your ICP, mapped the addressable market, and scored every account against AWS’s buying signals. See below for a snapshot of your in-market accounts and top contacts.

Step 01 · Understanding ICP

We analysed how AWS goes to market

Firmographics
  • 2,000–50,000 FTE, $400M–$150B revenue
  • Enterprises still carrying mainframe, COBOL or on-premises estates that block AI and real-time decisioning
  • US national + Canada
Verticals
  • Financial Services & Insurance
  • Healthcare & Life Sciences
  • Telecom, Media & Technology
  • Manufacturing & Logistics
Buyer Personas
  • CIO
  • CTO
  • Chief Architect (economic)
  • Head of Application Modernization, Head of Data, CISO
Step 02 · Scoring & prioritising

Every account scored against AWS’s buying signals

Gilead Sciences Biotechnology Research · 14,810 employees · California
87Fit
  • Signal stack 31 / 34
  • Firmographic fit 19 / 22
  • Complexity & footprint 18 / 20
  • Technographic 9 / 14
  • Strategic geo & PE 10 / 10
What fired
  • 29 locations to standardise a platform across
  • 316 open requisitions live on the careers site
  • 5.8% technical staff against 14,810 employees, a clear capacity gap
  • CEO 10 months in seat, inside the re-evaluation window
  • Databricks, Oracle in the stack

Anatomy of a score

  • Signal stack: open requisitions, share of headcount that is technical, CEO time in seat, recent capital or M&A events.
  • Firmographic fit: employees and revenue against the ICP band.
  • Complexity and footprint: site count and headcount.
  • Technographic: AWS, Azure, Google Cloud, VMware in the stack, plus legacy markers like Mainframe, Z/Os, COBOL, Cics.
  • Strategic geo and PE: Washington / major US enterprise hubs HQ, private equity or M&A ownership.
The secret sauce

Six signals a generic data tool cannot assemble

Landbase-native signalWhy it cannot be replicatedWhat the rep leads with
Job postings and IT-capacity gapLive reqs naming AWS, Azure, Google Cloud, VMware or cloud platforms, measured against technical headcount. Shows who is mid-programme and short-staffed.Managed cloud operationsData-centre exit and landing zone
Rival ERP and legacy stackA rival or ageing estate marks a displacement or upgrade window rather than a cold start.AWS Transform
Existing AWS footprintMainframe, Z/Os, COBOL, Cics identify expansion accounts where the relationship already exists.Data-centre exit and landing zoneBedrock and AgentCore on modernized data
Leadership tenure, CIO or CFOA new CIO or CFO inside 18 months is the single most reliable window for a platform decision.New CIO or Chief Architect
Multi-site and multi-entity complexityLocation count and entity spread predict consolidation pain.Multi-region and edge deployment
Capital events and M&AFunding, acquisitions and carve-outs force system consolidation on a deadline.AWS TransformData-centre exit and landing zone
Step 03 · Building TAM

A slice of your addressable market

2,704
In-band accounts scored
2,000–50,000 employees, 4 industry suites, deduplicated on the company graph
910
Qualified market
Fit score 60 or above: the accounts worth working across the next several quarters
82
Tier-1 priority targets
Fit score 75 or above, from which the 100 named in this brief are drawn

What is actually true about those 100 accounts

Hiring surge97
Thin IT85
PE / M&A signal85
Install base81
New CEO45
Legacy / EOL tech42
Priority hub HQ40
Multi-site35
Recent CEO19

Each bar is how many of the 100 are firing that trigger today. Tier-1 accounts stack two or more inside a 90-day window, which is what separates them from a company that merely looks like a fit.

Step 04 · Mapping buyers to accounts

A snapshot of your accounts and buyers

25 of 100
#CompanyVerticalEmployeesRevenueSitesFit
1Gilead SciencesHealth & Life Sci14,810$29.4B2987
2TopgolfTelecom & Media12,439$4.6B584
3LocktonFinancial Svcs15,145$1.3B10383
4Brown & BrownFinancial Svcs13,590$5.9B10183
5BrookdaleHealth & Life Sci20,828$3.2B383
6Total Quality LogisticsMfg & Logistics17,652$6.9B6483
7SchneiderMfg & Logistics11,676$5.7B583
8VontierMfg & Logistics6,205$3.1B7583
9IFFMfg & Logistics15,243$10.9B10283
10Americold LogisticsMfg & Logistics8,413$2.6B583
11R1 RCMHealth & Life Sci23,031$2.3B1182
12Northern TrustFinancial Svcs31,125$8.1B1481
13Corebridge FinancialFinancial Svcs5,354$18.5B481
14Franklin TempletonFinancial Svcs11,357$8.8B5381
15Dave & Buster'sTelecom & Media13,318$2.1B10381
16Brink’sMfg & Logistics10,588$5.3B5681
17Voya FinancialFinancial Svcs9,665$8.2B1180
18KemperFinancial Svcs7,013$4.8B580
19JefferiesFinancial Svcs8,486$10.8B2980
20UT Southwestern Medical CenterHealth & Life Sci19,443$3.1B2380
21OSF HealthCareHealth & Life Sci12,515$4.6B2180
22Texas Children's HospitalHealth & Life Sci13,237$2.6B780
23BeOne MedicinesHealth & Life Sci3,598$5.3B3780
24KindredHealth & Life Sci13,523$7.2B380
25GartnerTelecom & Media22,082$6.5B2880

See your full AWS TAM,
scored and SDR-ready.

A 30-minute working session covering your Tier-1 accounts, the signals behind each score, and territory-ready exports for your SDRs.

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