Use case type

Growth analytics

AI and analytics used to measure performance, identify trends, and surface opportunities for expansion. It helps organizations understand what drives growth and where to focus efforts.

Use cases

4

Examples

4

Industries

3

Timeline

2 mo

Data updated 1 day ago

Adoption over time

Documented cases per month

By case publish month · completed months only

3 cases documented across 37 months (Jul 23 – Jul 26), peaking at 3 in May 2026.

1 earlier case before Jul 23 not shown

Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.

Company examples

Use cases of this type

4 shown from 4 use cases

May 27, 2026

Trellix: Using Amazon OpenSearch Service to improve security analytics ingestion and enable genAI

Trellix migrated its self-managed Elasticsearch workloads on Amazon EC2 to Amazon OpenSearch Service to reduce operational cost and improve the reliability and scalability of its security analytics platform.The company ingests and stores billions of daily customer logs and makes them searchable through a web interface for auditing, filtering, malware detection, and other security uses.Trellix collaborated with AWS and used OpenSearch Ingestion pipelines, Amazon S3, Amazon SNS, Amazon SQS, Amazon CloudWatch, and Amazon Managed Grafana to support varied data types, monitoring, and visualization.The migration completed with no downtime and minimal customer impact, and Trellix also positioned the platform to support generative AI use cases such as Trellix Wise using Amazon Bedrock and Amazon Nova Foundation Models.

TrellixTech & Comms
May 27, 2026

World Surf League: Generative AI analytics for real-time surfing insights

World Surf League (WSL) built a first-of-its-kind data platform with AWS and generative AI to deliver near-real-time analytics for surfing competitions.The platform combines real-time wearable telemetry from Apple Watches with wave data, weather conditions, judging data, and historical records so commentators can ask natural-language questions and get grounded answers within seconds.

World Surf LeagueOther
GCPMay 13, 2026

City of Chattanooga builds AI-powered smart city capabilities with Vertex AI, BigQuery, and AI agents

The City of Chattanooga is using Google Cloud to modernize internal productivity and build smart city capabilities across public safety, city operations, and resident engagement.The city centralized data in BigQuery, trained a Vertex AI model on municipal code, and began rolling out Google Workspace with Gemini and NotebookLM to employees.

City of ChattanoogaPublic Sector
Aug 8, 2022

Forwood Safety extends workplace risk & compliance analytics using Amazon QuickSight Q

Forwood Safety provides fatality prevention solutions to organizations across the globe and wanted interactive, dynamic data visualization tools so end users could access safety data in the field regardless of analytics experience.The company extended its existing Amazon QuickSight-powered CRM and FAST analytics with Amazon QuickSight Q natural-language querying for mobile, point-of-use access to risk and compliance insights.

Forwood SafetyOther

Common questions

Growth analytics at a glance

How many growth analytics use cases are documented?
The AI Use Case Hub documents 4 real growth analytics deployments across 3 industries, with 4 detailed company examples you can browse.
Which industries adopt growth analytics the most?
Growth analytics is most common in Other (50%), Public Sector (25%) and Tech & Comms (25%).
Which countries lead in growth analytics?
United States leads documented growth analytics deployments, followed by Australia.
What technologies are used for growth analytics?
Teams most often build growth analytics with Amazon S3, Amazon Bedrock and BigQuery.
What AI capabilities power growth analytics?
Across the documented deployments, the most common capability patterns are Agent (25%).
What results do companies report from growth analytics?
Across the 4 deployments reporting outcomes, companies most often cite new product / capability (100%), speed & agility (75%) and scale & capacity (75%). Where impact is quantified, the strongest evidence is in productivity & throughput: a median +65% across 1 reported metric.