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Robot Training Market Concentration

On 9 Oct 2026, robot training listings were highly concentrated overall (HHI 4,114 across 60 employers); Egocentric & Wearable Capture was the most concentrated kind of work, led by TSMG with 76.8% of its open roles.

Data window
12 Sep 2026 to 9 Oct 2026
28 days, UTC
Computed
10 Oct 2026, 21:13 UTC
Recomputed every day
Source
The public job boards of the robot training employers and programs this site tracks, read every day.
Method
Version 1. Definitions
CC BY 4.0, how to cite
Download all figures (CSV)JSON

Key findings

  1. 1

    Across all robot training work, listings are highly concentrated (HHI 4,114 across 60 employers); TSMG holds 63.6% of open roles.

    Figure 1
  2. 2

    Egocentric & Wearable Capture is the most concentrated kind of work (HHI 6,120, TSMG with 76.8%); Robot Teleoperation the least (HHI 2,082, across 23 employers).

    Figure 1
  3. 3

    5 of 7 kinds of work with at least 10 open roles are highly concentrated by listings (HHI above 2,500).

    Figure 1
  4. 4

    TSMG lists the widest range of work: 5 of the 7 kinds of work with open roles.

    Figure 4

Figure 1

How concentrated each kind of work is

For which kinds of robot training work does one employer hold most of the openings?

Kind of workHHIReadingIts share
All robot training work
4,114
Highly concentrated63.6%
Egocentric & Wearable Capture
6,120
Highly concentrated76.8%
AV & Drone Operators
6,043
Highly concentrated77.5%
Robot Task Evaluation & QA
4,545
Highly concentrated63.6%
Data & Demonstration Collection
3,479
Highly concentrated57.1%
Robot Fleet Operations
2,913
Highly concentrated40.4%
Embodied-AI Data Annotation
2,400
Moderately concentrated40.0%
Robot Teleoperation
2,082
Moderately concentrated43.0%

Sample. 745 roles open at the end of 9 Oct 2026 on the job boards this site reads, by the employer that lists them.

HHI: the sum of every employer's squared percentage share of the open roles, 0 (many small employers) to 10,000 (one employer). Read with the US merger-guideline thresholds: under 1,500 unconcentrated, 1,500 to 2,500 moderately, above 2,500 highly concentrated.

Shares are of listings, not of people hired or money paid: an employer posting one role per city or country weighs more here than its hiring may.

Source. RobotTraining.jobs Research, Robot Training Market Concentration, live data.

CSV

Figure 2

The three largest employers in each kind of work

Who leads each kind of robot training work, and how far ahead?

Kind of workFirstSecondTop three's share
Egocentric & Wearable CaptureTSMG (76.8%)Claru (12.8%)
96.8%
Robot Task Evaluation & QAWaymo (63.6%)Waabi (18.2%)
90.9%
Robot Fleet OperationsAvride (40.4%)TSMG (33.3%)
85.9%
AV & Drone OperatorsTSMG (77.5%)Gatik (3.4%)
83.5%
Data & Demonstration CollectionTSMG (57.1%)micro1 (9.5%)
74.6%
Embodied-AI Data Annotationmicro1 (40.0%)Zipline (20.0%)
70.0%
Robot TeleoperationTSMG (43.0%)Figure AI (8.1%)
58.1%

Sample. Kinds of work with at least 10 roles open on 9 Oct 2026.

Source. RobotTraining.jobs Research, Robot Training Market Concentration, live data.

CSV

Figure 3

Is each kind of work consolidating?

Did concentration rise or fall over the window, on the same employers?

Kind of workHHI on 12 Sep 2026HHI on 9 Oct 2026Change
All robot training work0
0
0
AV & Drone OperatorsSmall sample0
0
0
Data & Demonstration CollectionSmall sample0
0
0
Egocentric & Wearable CaptureSmall sample0
0
0
Embodied-AI Data AnnotationSmall sample0
0
0
Robot Fleet OperationsSmall sample0
0
0
Robot Task Evaluation & QASmall sample0
0
0
Robot TeleoperationSmall sample0
0
0

Sample. Roles open at the start and the end of the window on the employers tracked throughout.

Employers first tracked during the window are left out of both ends, so their arrival does not read as a change in competition.

Source. RobotTraining.jobs Research, Robot Training Market Concentration, live data.

CSV

Figure 4

Specialists and generalists

Which employers spread across many kinds of work, and which specialise?

EmployerKinds of work listedShare in its main kind
TSMG
5
57.4%
Avride
4
93.0%
micro1
4
45.0%
Dyna RoboticsSmall sample
3
75.0%
Genesis AISmall sample
3
40.0%
WaabiSmall sample
3
62.5%
1X TechnologiesSmall sample
2
50.0%
Aurora Innovation
2
90.0%
Cota RoboticsSmall sample
2
50.0%
DexmateSmall sample
2
66.7%
Figure AISmall sample
2
87.5%
Nimble RoboticsSmall sample
2
66.7%
NuroSmall sample
2
83.3%
RoboForceSmall sample
2
50.0%
SaronicSmall sample
2
83.3%
Skild AISmall sample
2
75.0%
Sunday RoboticsSmall sample
2
66.7%
WaymoSmall sample
2
77.8%
WayveSmall sample
2
75.0%
ZiplineSmall sample
2
75.0%
AdexisSmall sample
1
100.0%
Agility RoboticsSmall sample
1
100.0%
Allen Control SystemsSmall sample
1
100.0%
Anduril IndustriesSmall sample
1
100.0%
AppenSmall sample
1
100.0%
Bot AutoSmall sample
1
100.0%
Claru
1
100.0%
Collaborative RoboticsSmall sample
1
100.0%
DexorySmall sample
1
100.0%
FS StudioSmall sample
1
100.0%
Gatik
1
100.0%
Generalist AISmall sample
1
100.0%
Havoc AISmall sample
1
100.0%
HumanoidSmall sample
1
100.0%
ISEESmall sample
1
100.0%
Keywords StudiosSmall sample
1
100.0%
Kodiak AISmall sample
1
100.0%
Maven RoboticsSmall sample
1
100.0%
May MobilitySmall sample
1
100.0%
Mind RoboticsSmall sample
1
100.0%
MonumentalSmall sample
1
100.0%
MotionalSmall sample
1
100.0%
NerosSmall sample
1
100.0%
PerleSmall sample
1
100.0%
Physical IntelligenceSmall sample
1
100.0%
ProntoSmall sample
1
100.0%
PykaSmall sample
1
100.0%
Reliable RoboticsSmall sample
1
100.0%
Rhoda AISmall sample
1
100.0%
SamaSmall sample
1
100.0%
SereactSmall sample
1
100.0%
Serve Robotics
1
100.0%
Shield AISmall sample
1
100.0%
SkydioSmall sample
1
100.0%
SkywaysSmall sample
1
100.0%
Stack AVSmall sample
1
100.0%
Torc RoboticsSmall sample
1
100.0%
Tutor IntelligenceSmall sample
1
100.0%
VaySmall sample
1
100.0%
WingSmall sample
1
100.0%

Sample. 745 roles open on 9 Oct 2026.

Specialisation uses the same index across an employer's own kinds of work: 10,000 means it lists one kind only.

Source. RobotTraining.jobs Research, Robot Training Market Concentration, live data.

CSV

For robotics labs, fleet operators, data vendors and researchers

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Method and definitions

The public job boards of the robot training employers and programs this site tracks, read every day. Every figure is computed by one database query over the window shown, the same query for the live report and for every edition. Each figure states its sample beneath it.

HHI
Herfindahl-Hirschman Index: the sum of every employer's squared percentage share of open roles, from near 0 (many small employers) to 10,000 (one employer). Read with the US merger-guideline thresholds: under 1,500 unconcentrated, 1,500 to 2,500 moderately concentrated, above 2,500 highly concentrated.
Share
An employer's open roles in a kind of work over all open roles in it, on the last day of the window.
Like for like
The change figure counts only employers already tracked when the window opens, so an employer's arrival in this dataset is not read as a change in competition.
Open role
A role listed by a given day and still in its employer's feed that day.
Kind of work
Each role is classified from its title and description into one of the seven kinds of robot training work this site tracks, from robot teleoperation and demonstration collection to egocentric capture, embodied-AI annotation, robot evaluation, fleet operations and AV and drone operation. Every kind links to its own page.
Coverage
The employers and programs whose public job boards RobotTraining.jobs reads in full every day. Each figure states how many were read.
Window
Live: the last 28 complete days, in UTC. Edition: one calendar month, in UTC.

What this data cannot tell you

  • Employers that recruit without a public job board are not counted, and some data-collection programs enrol people through an app rather than a job listing.
  • A listing is not a hire. Some employers keep evergreen roles open for months, and some post one listing per city or country.
  • Shares are of public listings, not of workers hired, hours worked or revenue; an employer posting one role per city weighs more here than its hiring may.

How the job feeds are read and roles are classified: site methodology. How fresh, complete and consistent the data is, checked every day: data quality and coverage.

Editions

The live report covers the last 28 complete days and changes every day. Each complete month is also published as an edition, frozen two days after the month ends, so a figure you cite from an edition never moves.

  • Live dataLast 28 complete days, recomputed daily

Cite and reuse

Free to quote, chart and republish under CC BY 4.0 with a link to this page. Live figures change daily: cite a monthly edition for numbers that will read the same later, or keep the access date.

Citation

RobotTraining.jobs (2026). Robot Training Market Concentration (live data, 12 Sep 2026 to 9 Oct 2026). https://robottraining.jobs/research/robot-training-market-concentration (accessed 10 Oct 2026)

BibTeX

@misc{robottrainingjobs_robot_training_market_concentration_live,
  author = {{RobotTraining.jobs}},
  title = {Robot Training Market Concentration (live data, 12 Sep 2026 to 9 Oct 2026)},
  year = {2026},
  howpublished = {\url{https://robottraining.jobs/research/robot-training-market-concentration}},
  note = {Accessed 10 Oct 2026},
}

Data: all figures as CSV (one line per value) or JSON. Every figure also downloads on its own. More open data: datasets and API.

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