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For evaluators and anyone doing diligence: Robotics Platform Data Sources and Research Methodology

What Robotics Intelligence tracks, where each record comes from, and how it is scored
  • Public sources onlyPermits, filings, tender portals, patent registers, award notices
  • Provenance on every recordSource type and date stored with each one
  • Scoring inputs visibleEvery likelihood band shows the inputs that produced it
  • Continuously refreshedRecords published as verified, revised as status changes.
One Platform with all Robotics Intelligence for System Integrators, Robot Manufacturers, Component Suppliers and everyone in the Automation Ecosystem

What the Robotics Data Holds, Module by Module: Where It Comes From and How It Is Scored

Pipeline Modules

  1. Construction signals

    A construction or expansion project with owner and operator, facility, location and industry, construction stage, expected opening, robotics likelihood band and the evidence behind it.

  2. Tender notices

    A robotics procurement opportunity with the buying authority, named suppliers where disclosed, submission deadlines, source-reported values, industry, jurisdiction and evidence.

  3. Contract awards

    An awarded robotics contract with buyer, supplier, award date, value band, jurisdiction and evidence.

Reading Across the Modules

Every view reads from the same records, so a figure on the dashboard and a row in a module are the same underlying evidence.
  • Reads across every module for the chosen scope and returns counts, a market heat matrix by industry segment and region, activity over time, the most active manufacturers, risk by severity, leading countries, top applications and robot category mix. Every figure links to the records behind it.
  • Places facilities, deployments, construction signals and risk exposure geographically, filtered by status and severity.
  • A date window of seven, thirty or ninety days, full history or a custom range, combined with country, region and industry filters, applied across every module.
  • Tracked opportunities with ownership, next actions and audit history, plus watchlists, saved views, alerts and export history.
  • Reviewed analyst posts written from the same source material, covering procurement pipelines and policy risk by region.
Data and Information Modules in Robotics Intelligence

Coverage: Industries, Applications, Robot Categories and Geography

Dimension · Coverage

  • 01

    Industries

    Manufacturing and industrial, logistics and warehousing, healthcare and life sciences, defence and security, retail and e-commerce, automotive and mobility, aerospace and space, agriculture, energy and infrastructure, education and research.

  • 02

    Applications

    Material handling and internal transport, warehouse fulfilment, surgical and clinical robotics, inspection and quality, security and surveillance, defence operations, passenger and goods transport, research and testing.

  • 03

    Robot categories

    Articulated and collaborative arms, wheeled and tracked mobile robots, teleoperated manipulator systems, aerial and ground unmanned vehicles, humanoids, gantry and specialised systems.

  • 04

    Geography

    Global. North America and Asia Pacific carry the largest record volumes, followed by Europe, Latin America, and the Middle East and Africa.

  • 05

    Facility types

    Distribution and fulfilment centres, processing and production plants, assembly facilities, hospitals and clinical sites, laboratories and cleanrooms, data centres, cold storage, defence and public infrastructure, and their expansions.

Robotics Research Methodology

Our methodology combines continuous source monitoring, primary-source verification, structured entity matching and ongoing record maintenance. Public and licensed sources are screened continuously, with provenance retained for every record.

When Automation Is Actually Bought

  • How many months before a plant opens is the automation vendor selected?

    For most industrial and logistics facilities, automation is specified and bought twelve to twenty-four months before the site opens, during the second half of the construction sequence. The building layout has to be settled first, because equipment decisions depend on it, and the order has to be placed early enough for build and commissioning. That interval is why construction activity works as a demand signal, and the procurement window is the estimate the product is organised around.
  • How far in advance should a manufacturer be approached?

    Earlier than the window itself. If the specification is written twelve to twenty-four months before opening, the conversations that shape it happen before that, while the operator is still choosing an approach. Reaching a project at permit or early-construction stage means arriving while the operator is still deciding what to buy.
  • How to estimate the automation pipeline in a territory?

    The method is the same whether the territory is a state, a country or a sales region. Filter the tracked facilities to that geography, then narrow by sector, procurement window and robotics likelihood. The count that remains is the automation pipeline in that territory, and every facility behind that number is listed.

    This is the highest-value single line change on the site. It sits on the page whose only job is to survive scrutiny.

Current Record Coverage

  • Construction and expansion signals

    494
  • Tender notices

    342
  • Contract awards

    705
  • Verified deployments

    1459
  • Patent filings

    436
  • Policy and regulation records

    574
  • Workforce signals

    1144
  • Risk events

    150
  • Organizations

    5346
  • Facilities

    2892
  • Robot models

    2245
  • Integrators

    483

Last Updated: September 22, 2026

Robotics Data Sources and Methodology FAQs

  • 01

    What are the sources of information?

    Public and licensed sources: planning applications, permits, announcements, capital-expenditure disclosures, tender portals, award notices, patent registers, policy publications, job listings and market reporting, each stored with source type and date.
  • 02

    How is robotics likelihood calculated?

    From rule-based inputs: facility type, sector, stage, scale and context, visible per record. Each record shows which inputs produced its score.
  • 03

    How is the twelve to twenty-four month window derived?

    It reflects typical gaps between construction stage and automation procurement for each facility type. It has not been back-tested against a completed cohort, and the deployment links are how it will be tested as tracked sites open.
  • 04

    How often is everything refreshed?

    Continuously. Records carry update notes showing what changed.
  • 05

    How does this compare with construction-lead services?

    Broad construction-project databases cover every building type. This is narrower by design: facilities with plausible robotics use, scored for robotics demand and timing, and connected to the tenders, awards, deployments and companies around them.

See the facilities entering the window in your territory.