Technologies
IoT Platform
Companies using AWS IoT Analytics

Companies using AWS IoT Analytics

AWS IoT Analytics is a fully managed service that enables advanced analytics on IoT data at scale, offering data collection, processing, storage, and analysis capabilities with integration to AWS machine learning services and visualization tools.
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Companies using AWS IoT Analytics

Technology
is any of
AWS IoT Analytics Technology Logo/Icon
AWS IoT Analytics
company
COUNTRY
Tech confidence score
REVENUE
# Tech JOB POSTINGS
Amtex Systems Inc.
United States Country Flag Icon
United States
-
29
BRP
Canada Country Flag Icon
Canada
$5.6B
197
Capgemini Engineering
France Country Flag Icon
France
-
189
Caterpillar
United States Country Flag Icon
United States
-
4,372
FANUC America Corporation
United States Country Flag Icon
United States
-
2
Intuitive Surgical
United States Country Flag Icon
United States
$6.2B
1
Moderna
United States Country Flag Icon
United States
$21.4B
27
Motion Recruitment
United States Country Flag Icon
United States
$1.4M
4,872
Outokumpu
Finland Country Flag Icon
Finland
$9.3B
6
Samsara
United States Country Flag Icon
United States
$428.3M
1,830
Showing 10 of
245
results
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25

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Unlock the full database of
245
companies actively hiring with
AWS IoT Analytics
technology, including firmographic data,
9,149
developer profiles working on that technology, and direct contacts to engineering leaders within your target accounts.
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Developers using AWS IoT Analytics

NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Benjamin Greenberg
Senior Software Developer
United Kingdom Country Flag Icon
United Kingdom
Google Company Logo
Google
13 years
Koby K
Principal Engineer
United States Country Flag Icon
United States
Infosys Company Logo
Infosys
9 years
Ravi Varma
Azure Devops Engineer
United States Country Flag Icon
United States
EY Company Logo
EY
7 years
NAME
contact
DESIGNATION
COUNTRY
Company
Total tENURE
Ryan Malecky
Solutions Architect - AWS Clean Rooms
United States Country Flag Icon
United States
Horace Mann Company Logo
Horace Mann
12 years
Axel Böswetter
Lead Developer
Germany Country Flag Icon
Germany
Google Company Logo
Google
7 years
Nicolas B
VP Web Platforms
Germany Country Flag Icon
Germany
Twilio Company Logo
Twilio
9 years

Want access to the complete developers list?

Unlock the full contact information of
9,149
developers actively working with
AWS IoT Analytics
technology, including economic buyers data for each account, complete with verified contact information, role tenure, company context, and adoption signals.
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What would you like to do with company-level technographics data that are using AWS IoT Analytics?

Build my TAM account list or assign accounts to my sales team

Transform your desired technology user data into actionable sales territories by combining firmographic ICP criteria with real-time technology adoption signals. Traditional account assignment based solely on company size and industry leaves money on the table—successful DevTool sales teams prioritize accounts showing active technology expansion signals.

Strategic account prioritization framework

Building an effective Total Addressable Market (TAM) requires more than basic firmographic filters. Companies using your desired technology represent varying levels of buying intent depending on their implementation stage, team growth, and technology stack evolution. Learn our complete framework for building DevTool ICP account lists to establish the foundation for strategic account segmentation.

Confluent ICP scoring example illustrating core, broader, and relevant universe tiers based on Kafka adoption and data streaming scale

Standard ICP criteria—geography, industry, company size, revenue—only provide baseline qualification. High-performing sales teams layer technology hiring signals on top of firmographic data to identify accounts actively expanding their technical capabilities. Companies hiring  for your desired technology engineers or architects signal active investment in the technology stack, indicating higher purchase intent and budget availability.

In-market account identification and assignment

Priority account assignment should factor in recent technology hiring patterns as a proxy for market timing. Companies posting jobs for Redis engineers, Kubernetes specialists, or React developers demonstrate active technology expansion—making them significantly more likely to evaluate complementary tools within 90 days.

Our LinkedIn outreach playbook details the specific process for identifying and assigning these in-market accounts to sales teams. This approach increases meeting acceptance rates by 40% compared to generic outbound because prospects are already in active buying mode.

Territory assignment best practices

Tier 1 accounts: Companies using your desired technology with recent hiring activity for related roles. These accounts get immediate sales attention with personalized outreach referencing their specific technology initiatives and hiring needs.

Tier 2 accounts: Established desired technology users without recent hiring signals but strong firmographic fit. Assign these accounts for longer-term nurture campaigns and quarterly check-ins to monitor technology expansion signals.

Tier 3 accounts: Companies using your desired technology with weaker ICP fit or unclear expansion signals. Route these accounts to inside sales or marketing-qualified lead campaigns until stronger buying signals emerge.

Refresh account assignments monthly based on new hiring signals and technology adoption data. Companies can move between tiers quickly as their technology needs evolve, and sales territories should reflect these dynamic market conditions rather than static demographic assignments.

The combination of your desired technology usage data and hiring intelligence creates a predictive framework for sales success, ensuring your team focuses energy on accounts most likely to convert within the current quarter.

Learn more

Run marketing Campaigns

Leverage your desired technology user data to create targeted campaigns across three distinct audience levels: companies, developers (practitioners), and economic buyers. Each audience type requires different messaging, channels, and campaign strategies to maximize conversion rates.

Multi-level audience targeting

Companies: Target organizations using your technology of choice for account-based marketing approaches. Focus on company-level signals, firmographics, and technology stack intelligence to build high-intent prospect lists.

Developers (contacts): Reach practitioners who directly implement and use chosen technology. These technical decision-makers influence tool adoption and can become internal champions for your solution.

Economic Buyers (contacts): Target executives and budget holders at companies using your desired technology. While they may not use the technology directly, they control purchasing decisions and strategic technology investments.

Campaign strategies by audience type

ABM Google/LinkedIn Ads to your TOFU audience: Run account-based display campaigns targeting companies using containerization technologies like Docker or Kubernetes. Create awareness-stage content about DevOps optimization, infrastructure costs, or developer productivity to capture early-stage interest from decision-makers.

Invite developers to topical webinars: Host technical webinars for Redis users about database optimization, caching strategies, or microservices architecture. Developers using Redis are likely interested in performance engineering topics that showcase your platform's capabilities in a educational, non-sales context. Leading DevTools like Galileo and Camunda use this strategy effectively—see how they leverage expert-led sessions to grow their TOFU audience by educating and nurturing developer communities around emerging technologies.

LinkedIn outbound campaigns to developers or economic buyers: Execute targeted LinkedIn outreach to practitioners and buyers at companies using complementary technologies. See how Kubegrade leveraged Kubernetes user data to run successful LinkedIn and email campaigns, or follow our proven LinkedIn outreach playbook that helped Unstructured book meetings with economic buyers.

Competitor email campaigns based on competitor technology: Target companies using competing solutions like MongoDB (if you're in the database space) or Elasticsearch (for search solutions). Craft messaging around migration benefits, performance comparisons, or feature gaps that position your solution as the superior alternative.

Complimentary technology campaigns: Run campaigns to companies using GraphQL (if you provide API tools) or React (for frontend development solutions). Focus messaging on how your product enhances their existing technology investments rather than replacing them—creating additive value propositions.

Technical content nurture campaigns to developers: Send regular technical newsletters to PostgreSQL users featuring database optimization tips, query performance guides, or architectural best practices. This builds relationship equity with practitioners who influence purchasing decisions while demonstrating your platform's technical depth.

Campaign execution framework

Each campaign type works best when aligned with the prospect's technology maturity and buying stage. Companies actively expanding their technology usage often have budget allocated for complementary solutions, making them higher-intent prospects than those just beginning adoption.

Combine multiple campaign types for maximum impact: start with educational content to developers, then retarget engaged prospects with ABM campaigns to economic buyers at the same companies. This multi-touch approach increases conversion rates while building relationships across the entire buying committee.

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How to target companies using AWS IoT Analytics

How to build your target account list?

Start by building your Ideal Customer Profile (ICP) universe using technology signals as a foundation. Companies using

AWS IoT Analytics

often share similar technical maturity and infrastructure needs, making them prime candidates for developer-focused solutions. Learn our complete framework for building DevTool ICP account lists to maximize your targeting precision.

Customize this data by filtering for geography, industry, company size, revenue, technology usage, job positions and more. Our platform provides technology intelligence at both company and individual levels—categorized into developers/practitioners and economic buyers within those organizations. This dual-layer approach enables precise targeting whether you're running ABM campaigns at the account level or personalized outreach to specific contacts.

Download your refined lists in Excel or CSV format, sync directly to your CRM (HubSpot, Salesforce), or use our APIs to send data to your warehouse. For individual-level targeting, explore our

developers using
AWS IoT Analytics

database for direct practitioner and buyer intelligence.

How to get alerted when new companies adopt AWS IoT Analytics technology?

Set up automated alerts to capture companies as they adopt

AWS IoT Analytics

in real-time.

This gives your sales team first-mover advantage when prospects are actively evaluating and implementing new solutions—the optimal time for outreach.

Configure alerts based on your specific ICP criteria: get notified when companies in your target geography, industry, or size range start using your target technology. Alerts are delivered directly to your inbox with complete company and contact intelligence, enabling immediate, contextual outreach while the technology adoption signal is fresh.

How to sync this data with my CRM or sales stack?

Export technology user data seamlessly into your existing sales and marketing infrastructure. Direct CRM integrations with HubSpot and Salesforce automatically sync company and contact records with technology intelligence, enriching your existing database.

Use our API endpoints to send

AWS IoT Analytics

user data directly to your data warehouse, enabling advanced segmentation and analytics across your entire revenue stack. This approach works particularly well for companies running sophisticated ABM programs or complex lead scoring models.

The targeting strategy differs significantly between contact-level outreach and account-based campaigns. For individual targeting, focus on practitioners who directly use

AWS IoT Analytics

with personalized technical messaging. For ABM approaches, target economic buyers at companies using

AWS IoT Analytics

with broader business value propositions and multi-threading strategies.

Frequently Asked Questions (FAQ)

What is AWS IoT Analytics?

AWS IoT Analytics is a cutting-edge technology that falls under the category of IoT Data Analytics Platforms. It is a fully managed service provided by Amazon Web Services (AWS) that makes it easy to run sophisticated analytics on massive volumes of IoT data without having to worry about the cost and complexity typically required to build an IoT analytics platform. Launched in 2017 as part of AWS's expanding IoT service portfolio, it addresses the unique challenges of processing and analyzing data from connected devices, sensors, and applications.

From a technical perspective, AWS IoT Analytics works by processing messages through a series of components that form an analytics pipeline. This pipeline includes: channel (which ingests data from IoT devices via MQTT or HTTP), pipeline activities (which transform and enrich the data through filtering, processing, and enrichment), data store (which stores processed data), and analytics (which enables analysis through SQL queries or integration with machine learning tools). What makes AWS IoT Analytics unique is its purpose-built architecture for IoT workloads, handling time-series data efficiently while managing the irregularities common in IoT data streams such as out-of-order data arrival, duplicate messages, and varying message formats.

In the market, AWS IoT Analytics has gained significant adoption across industries where IoT implementations generate massive amounts of data requiring analysis. Organizations leverage it to perform predictive maintenance on industrial equipment, optimize operations in smart buildings, analyze consumer behavior through connected products, and enable data-driven decision making in logistics and supply chain. As IoT deployments continue to expand globally, AWS IoT Analytics is positioned to evolve with enhanced machine learning capabilities, edge analytics features, and deeper integration with the broader AWS ecosystem.

What is the source of this data?

We aggregate developer & company technographics intelligence from multiple proprietary and partner sources. Our platform monitors job postings across millions of companies—tracking listings on career sites, job boards, and recruitment platforms to identify technology adoption patterns and internal tool usage. This hiring signal data reveals what technologies organizations are actively investing in.

Beyond job data, Reo.Dev maintains a proprietary database of 30+ million developers and tracks activity across public GitHub repositories to capture real-time technology usage signals.

We supplement this with GDPR-compliant datasets from trusted data broker partners and visitor intelligence platforms, creating a comprehensive view of both company-level tech stacks and individual developer behaviors.

This multi-source approach ensures you're working with the most accurate, up-to-date company technographics & developer intelligence available.

How often is the data updated?

Our platform refreshes data daily, giving you access to the latest developer and technology intelligence. This continuous update cycle ensures your go-to-market teams are working with current information that reflects real-time market movements, emerging technology adoption patterns, and fresh hiring signals from across the industry.

What companies use AWS IoT Analytics?

Some of the companies that use AWS IoT Analytics include Amtex Systems Inc., BRP, Capgemini Engineering, Caterpillar, FANUC America Corporation, Intuitive Surgical, Moderna, Motion Recruitment, Outokumpu, Samsara, and many more. You can find a complete list of 245 companies that use AWS IoT Analytics on Reo.Dev.

Who uses AWS IoT Analytics? Which industries use AWS IoT Analytics?

AWS IoT Analytics is used by a diverse range of organizations across various industries, including "Manufacturing", "Healthcare", "Smart Cities", "Agriculture", "Energy Management", and "Transportation and Logistics". For a comprehensive list of all industries utilizing AWS IoT Analytics, please visit Reo.Dev.

How many customers does

AWS IoT Analytics
have?
As of now, we have data on
245
companies that use
AWS IoT Analytics
.

Where is AWS IoT Analytics adoption highest worldwide? In which countries AWS IoT Analytics is used the most?

According to usage insights, AWS IoT Analytics sees the strongest adoption across several major tech hubs. United States leads with 74 companies using it, followed by United Kingdom (21) and Germany (16).Other regions with significant AWS IoT Analytics usage include France (12), India (12), Canada (9), and Netherlands (2).Overall, AWS IoT Analytics enjoys widespread implementation globally, powering applications across diverse industries and regions.

How to find companies that use

AWS IoT Analytics
?

Visit reo.dev and use Reo.Dev's audience builder to search for companies using your desired technology—our platform analyzes job postings, GitHub repositories, and proprietary developer data to identify the  technology stack for any given organization. Book a demo with us today to get started.

How to get an updated list of companies that use

AWS IoT Analytics
?

Reo.Dev provides real-time access to companies using your desired technology of choice and thousands of other developer technologies. Our platform continuously tracks technology adoption signals from job postings, GitHub activity, and proprietary developer data to give you the most current view of which organizations are actively using the technologies in their tech stack. Simply search for your desired technology within our audience builder to generate a targeted list of companies—complete with firmographic data, hiring signals, and tech stack intelligence. Book a demo with us today to get access to the latest data.