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Counterpoint's 20-fold robot DRAM forecast needs roughly ten times as many robots by 2030

Counterpoint Research projects DRAM for humanoid robots will grow about 20-fold, from 8,300 terabits this year to 172,000 terabits in 2030. Memory per robot only about doubles, so by our calculation unit volume carries the rest.

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Illustration accompanying Counterpoint's 20-fold robot DRAM forecast needs roughly ten times as many robots by 2030
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Robot numbers, not memory per robot, carry the forecast Counterpoint's 2030 forecasts for robot DRAM, plus Clarity Today's derived robot count and growth rate. The Jetson Thor memory figure is as reported.

Key figures: robot DRAM demand of 172,000 terabits in 2030, up from 8,300 terabits; DRAM per robot of 39 GB, up from 19 GB; implied robots in 2030 about 551,000; implied unit growth about 59% a year; Jetson Thor reportedly has 128 GB.

Robot numbers, not memory per robot, carry the forecast
FigureValueNoteClaim
Robot DRAM demand, 2030172,000 terabitsup from 8,300 terabits this year2
DRAM per robot, 203039 GBup from 19 GB this year1
Implied robots in 2030551,000 robotsour calculation; approximate19
Implied yearly unit growth59% a yearcompound, our calculation; approximate21
Jetson Thor memory (reported)128 GB10

What happened

  • Counterpoint said the amount of data robots must store and process on their own is rising sharply, and it attributes the growth in their memory requirements to that.
  • Samsung Electronics and SK hynix both showed next-generation low-power DRAM, including LPDDR6, at CES 2026.
  • SK hynix and Nvidia are jointly developing low-power memory for Jetson Thor, a computing platform for robots.

Why it matters

  • What it limits constraint The forecast holds only if robot units compound at about 59% a year for five years, so a slow 2026 or 2027 has to be made up in later years.
  • What doesn't add up contradiction Jetson Thor's reported 128 gigabytes is 6.7 times Counterpoint's 19-gigabyte average for this year, so either flagship platforms are a small share of units or the average assumes far smaller builds.
  • Who's exposed exposure Analysts cited by the JoongAng Daily expect robots to use low-power DRAM and NAND, not HBM, and Micron is already sampling LPDDR6, so the Korean makers meet a competitor with samples out.

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Confirmed6 publishers

Counterpoint's two published figures fix a third. At 8 bits a byte, 8,300 terabits is about 1.04 million gigabytes, and at 19 gigabytes a robot that is about 54,600 robots this year [18][2][1]. The same conversion puts 172,000 terabits at 39 gigabytes a robot at about 551,000 robots in 2030 [19]. Capacity grows 20.7-fold and memory per robot 2.05-fold, so the unit count grows about 10.1-fold [16][11][17].

The unit conversion cancels out of that ratio, so the tenfold holds as long as both Counterpoint figures cover the same robots. The absolute counts also depend on the conversion. The JoongAng Daily report does not quote a Counterpoint shipment forecast, so these counts are our estimates. Lee Su-rim, an analyst at DS Investment & Securities, framed the dependence in the same terms. "Memory demand is directly proportional to the number of robots deployed, while the amount of LPDDR installed in each robot is also steadily increasing," said Lee [8].

The count can be wrong in either direction. If the 2030 average were 128 gigabytes, the reported Jetson Thor configuration, the same 172,000 terabits would need only about 168,000 robots [10][22]. If shipments disappoint instead, content per robot would have to climb well past Counterpoint's 39 gigabytes to fill the gap [1].

Micron's chief executive put vehicles ahead of humanoids. "Autonomous vehicles are the first major deployment of physical AI, which we believe will expand over time to humanoid robots and other intelligent autonomous systems," Mehrotra said on the Sept. 30 call [4]. "With the anticipated increase in both units and memory content, physical AI can become a significant driver of memory and storage demand by the end of this decade," he said [5].

Samsung's storage target is on a five-year horizon. The company has introduced a removable automotive SSD adapted for physical AI [15], and "Our goal is for removable SSDs to become a standard solution for robotic platforms within five years," a Samsung Electronics representative said [14].

We think the forecast is a bet on robot shipments, with memory content a secondary input, and the Korean makers' upside follows those shipments from a base we estimate near 54,600 robots [18]. Counterpoint's figures are in bits. The report as quoted does not include a price or a revenue estimate, so no comparison with HBM revenue is possible yet. The thesis fails if annual robot shipments are still in the tens of thousands in 2027.

What to watch

  • Robot shipment figures for 2026 and 2027 against our estimate of about 54,600 robots this year and 59% annual growth.
  • Whether Counterpoint or the chipmakers publish a dollar estimate or a split between DRAM and NAND per robot, which would allow a comparison with HBM revenue.
  • Whether Samsung or SK hynix name robot customers for LPDDR6 beyond SK hynix's work with Nvidia on Jetson Thor.

Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.

Clarity's read

What the record supports and how the coverage leans. The claims behind it follow.

Reality

Evidence55
Adoption20
Hype gap+25
Incentives70
Confidence55
Why these scores

Claim ledger

Ranked by verification strength, evidence, and original report placement.

  1. [1]

    Counterpoint projects DRAM capacity per robot will more than double from 19 gigabytes this year to 39 gigabytes by 2030.

    Reported Supported Source: Counterpoint ResearchView cited source
  2. [2]

    Counterpoint Research projects the global market for DRAM used in humanoid robots' computing systems to grow roughly 20-fold over five years, from 8,300 terabits this year to 172,000 terabits in 2030.

    Reported Supported Source: Counterpoint Research, as reported by Korea JoongAng DailyView cited source
  3. [3]

    Counterpoint Research said the amount of data that robots must store and process independently is rising sharply, which is driving rapid growth in their memory requirements.

    Reported Supported Source: Counterpoint ResearchView cited source
  4. [4]

    "Autonomous vehicles are the first major deployment of physical AI, which we believe will expand over time to humanoid robots and other intelligent autonomous systems," Mehrotra said during the call.

    Reported Supported Source: Micron CEO Sanjay Mehrotra, Sept. 30 earnings callView cited source
  5. [5]

    "With the anticipated increase in both units and memory content, physical AI can become a significant driver of memory and storage demand by the end of this decade," Mehrotra said.

    Reported Supported Source: Micron CEO Sanjay MehrotraView cited source
  6. [6]

    SK hynix is working with Nvidia to develop low-power memory for the Jetson Thor robotics computing platform.

    Reported Supported Source: Korea JoongAng DailyView cited source
  7. [7]

    Because humanoid robots run on batteries and are highly sensitive to power consumption, analysts believe they will primarily use low-power DRAM and high-capacity NAND flash rather than the HBM used in data center servers.

    Reported Supported Source: Korea JoongAng Daily, citing unnamed analystsView cited source
  8. [8]

    "Memory demand is directly proportional to the number of robots deployed, while the amount of LPDDR installed in each robot is also steadily increasing," said Lee Su-rim, an analyst at DS Investment & Securities.

    Reported Supported Source: Lee Su-rim, analyst, DS Investment & SecuritiesView cited source
  9. [9]

    Micron CEO Sanjay Mehrotra predicted that physical AI, including humanoid robots, would become a major growth driver for the memory industry by the late 2020s, during the June-to-August earnings announcement on Sept. 30.

    Reported Supported Source: Micron CEO Sanjay MehrotraView cited source
  10. [10]

    Jetson Thor is reportedly equipped with 128GB of LPDDR5X memory.

    Reported Supported Source: Korea JoongAng Daily ("reportedly")View cited source
  11. [11]

    Memory per robot grows about 2.05-fold.

    Derived Supported
  12. [12]

    Micron has begun supplying customers with samples of LPDDR6, its next-generation low-power DRAM, to target the physical AI market.

    Reported Supported Source: Micron CEO Sanjay Mehrotra, as reported by Korea JoongAng DailyView cited source
  13. [13]

    Samsung Electronics and SK hynix both showcased next-generation low-power DRAM, including LPDDR6, at CES 2026.

    Reported Supported Source: Korea JoongAng DailyView cited source
  14. [14]

    "Our goal is for removable SSDs to become a standard solution for robotic platforms within five years," a Samsung Electronics representative said.

    Reported Supported Source: Samsung Electronics representativeView cited source
  15. [15]

    Samsung has introduced a removable automotive solid-state drive (SSD) adapted for physical AI applications.

    Reported Supported Source: Korea JoongAng DailyView cited source
  16. [16]

    Capacity growth is about 20.7-fold.

    Derived Supported
  17. [17]

    Implied robot unit growth is about 10.1-fold.

    Derived Supported
  18. [18]

    Implied robots this year: about 54,600 (8,300 terabits is 1,037,500 gigabytes).

    Derived Supported
  19. [19]

    Implied robots in 2030: about 551,000.

    Derived Supported
  20. [20]

    Jetson Thor's reported 128GB is about 6.7 times Counterpoint's 19GB per-robot average for this year.

    Derived Supported
  21. [21]

    A tenfold rise in robot units over five years is about 59% compound annual growth.

    Derived Supported
  22. [22]

    At a 2030 average of 128GB per robot, 172,000 terabits would need about 168,000 robots.

    Derived Supported

Sources

2 independent publishers whose own reporting we read for this story.

  1. en.sedaily.com

    1 article · October 10, 2026

    Robots Emerge as Next Growth Driver for Samsung, SK hynix
  2. koreajoongangdaily.com

    1 article · October 12, 2026

    Humanoid robots eyed as next driver of memory chip demand

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