After my first post on humanoid robots received a lot of positive feedback, I went into more detail. I have subsequently added my favorites in each sector.

Extended analysis of the value chain including shovel manufacturers and potential hidden champions

New categorySecondary key sectors (sales, marketing, financing)

In additionTop 25 companies worldwide, as well as Top 10 Europe and Top 10 Asia

I have also added a video link for beginners. This will give you an idea of how far the development of humanoid robotics has already progressed.

https://www.stern.de/panorama/wissen/humanoider-roboter---wie-reagiert-er-auf-beleidigungen--35996156.html

Thank you for your attention and your support 🙏

🌐 1. value chain of humanoid robots (with hidden champions)

1. research & chip design

$ARM (-3,24 %) ARM (UK) - CPU-IP, energy-efficient processors

$SNPS (-3,14 %) Synopsys (US) - EDA software, chip design

$CDNS (-2,87 %) Cadence (US) - EDA & Simulation

$PTC PTC (US) - Engineering Software, CAD/PLM

$DSY (+1,32 %) Dassault Systèmes (FR) - 3D Design & Digital Twin

$SIE (-0,46 %) Siemens (DE) - Industrial Software & Lifecycle Mgmt

$ADBE (-3,55 %) Adobe (US) - Design, AR/UX

ANSYS (US) - multiphysical simulation - acquisition by Synopsis

Altair (US) - CAE, simulation, digital twin - acquisition by Siemens

$HXGBY (-0,75 %)
Hexagon (SE) - Metrology & Simulation

$AWE (+0 %) Alphawave IP Group (UK) - High-speed chip IP for AI/robotics

1.Synopsis, 2.Siemens and 3.Adobe are my top 3 in this sector

2. manufacturing technology & equipment

$ASML (+1,12 %) ASML (NL) - Lithography (EUV)

$AMAT (-0,43 %) Applied Materials (US) - Semiconductor equipment

$8035 (+3,76 %) Tokyo Electron (JP) - wafer fabrication

$KEYS (-1,08 %) Keysight Technologies (US) - Metrology

$6857 (-1,33 %) Advantest (JP) - Chip test systems

$TER (-3,3 %) Teradyne (US) - test systems + cobots

$6954 (-0,25 %) Fanuc (JP) - Industrial robots, CNC

$CAT (+0,48 %) Caterpillar (US) - autonomous machines

$KU2G KUKA (DE) - industrial robots

Comau (IT) - automation - not listed on the stock exchange

$ROK Rockwell Automation (US) - industrial automation

$JBL (-0,11 %) Jabil (US) - contract manufacturing (EMS/ODM)

$KIT (+0,23 %) Kitron (NO) - European EMS/ODM manufacturer

$AIXA (+0,68 %) Aixtron (DE) - deposition equipment for compound semiconductors

$LRCX (+1,38 %)
Lam Research (US) - Etch/deposition systems

$MKSI (-0,79 %)
MKS Instruments (US) - Plasma/vacuum technology

$ASM (-0,7 %)
ASM International (NL) - Deposition systems

1.ASML, 2.Keysight Technologies, 3.Fanuc are my top 3 in this sector

3. chip manufacturing (foundries)

$TSM (+0,23 %) TSMC (TW) - leading foundry

$005930 Samsung Electronics (KR) - foundry + memory

$GFS (-1,1 %) GlobalFoundries (US) - specialty chips

$INTC (-2,38 %)
Intel Foundry Services (US) - new western foundry player

$981
SMIC (CN) - largest Chinese foundry

$UMC
UMC (TW) - Power/RF/Embedded chips

1.TSMC, 2.Intel, 3.Samsung Electronics are my top 3 in this sector

4. computing & control unit ("brain")

$NVDA (+0,32 %) Nvidia (US) - GPUs, AI chips

$INTC (-2,38 %) Intel (US) - CPUs, FPGAs

$AMD (+1,66 %) AMD (US) - CPUs, GPUs

$MRVL (+0,92 %) Marvell (US) - network chips

$MU (+4,63 %) Micron (US) - Memory

$DELL (-0,26 %) Dell Technologies (US) - Edge & Infrastructure

Graphcore (UK) - AI chips (IPU) - not a listed company

Cerebras (US) - Wafer-scale engine - not a listed company

SiPearl (FR) - European HPC chip - not a listed company

1.Nvidia, 2.Marvell, 3.Micron are my top 3 in this sector

5. sensors ("senses")

$6758 (+0,65 %) Sony (JP) - image sensors

$6861 (-0,37 %) Keyence (JP) - Industrial sensors

$STM (-0,9 %) STMicroelectronics (FR/IT) - Sensors, MCUs

$TDY Teledyne (US) - optical/infrared sensors

$CGNX (-0,21 %) Cognex (US) - Machine Vision

$HON (-1,51 %) Honeywell (US) - sensor technology, security

ANYbotics (CH) - autonomous sensor fusion - not a listed company

$AMBA (-3,15 %) Ambarella (US) - video & computer vision SoCs for real-time image recognition

$OUST
Velodyne Lidar (US) - Lidar sensors - acquisition by Ouster

$AMS (-0,85 %)
-OSRAM (AT/DE) - optical sensors

1.Teledyne, 2.Keyence, 3.Ouster are my top 3 in this sector

6. actuators & power electronics ("muscles")

$IFX (-0,36 %) Infineon (DE) - Power Electronics

$ON (-1,18 %) onsemi (US) - Power & Sensors

$TXN (-0,87 %) Texas Instruments (US) - Mixed-Signal Chips

$ADI (-1,52 %) Analog Devices (US) - Signal Processing

$PH Parker-Hannifin (US) - Hydraulics/Pneumatics

$MP (+0 %) MP Materials (US) - Magnets

$APH (-0,32 %) Amphenol (US) - Connectors

$6481 (-0,42 %) THK (JP) - Linear guides & actuators

$6324 (-0,69 %)
Harmonic Drive (JP) - Precision gears & servo drives for robotics

$6594 (+4,01 %)
Nidec (JP) - Electric motors

$6506 (-0,87 %)
Yaskawa (JP) - Drives & Robotics

$SU (+1,17 %)
Schneider Electric (FR) - Energy & control solutions

$ZIL2 (-0,16 %)
ElringKlinger (DE) - Battery & fuel cell technology, lightweight construction

1.Parker-Hannifin, 2.MP Materials, 3.Infinion are my top 3 in this sector

7. communication & networking ("nerves")

$QCOM (+0,26 %) Qualcomm (US) - mobile communications, edge AI

$ANET (-8,99 %) Arista Networks (US) - Networks

$CSCO (-1,67 %) Cisco (US) - Networks, Security

$EQIX (-1,13 %) Equinix (US) - Data centers

NTT Docomo (JP) - 5G/6G carrier - not a listed company

$VZ Verizon (US) - Telecommunications

$SFTBY SoftBank (JP) - Carrier + Robotics

$ERIC B (-1,42 %)
Ericsson (SE) - 5G/IoT infrastructure

$NOKIA (-2,11 %)
Nokia (FI) - 5G/6G for industry

$HPE (-0,24 %)
Juniper Networks (US) - Network technology - acquisition by HP

1.Arista Networks, 2.SoftBank, 3.Cisco are my top 3 in this sector

8. energy supply

$3750 (+0,21 %) CATL (CN) - Batteries

$6752 (+0,91 %) Panasonic (JP) - Batteries

$373220 LG Energy (KR) - Batteries

$ALB (+1,02 %) Albemarle (US) - Lithium

$LYC (-0,15 %) Lynas (AU) - Rare earths

$UMICY (+1,26 %) Umicore (BE) - recycling

WiTricity (US) - inductive charging - not a listed company

$ABBN (+0,15 %) Charging (CH) - charging infrastructure

$SLDP
Solid Power (US) - Solid state batteries

Northvolt (SE) - European batteries - not a listed company

$PLUG
Plug Power (US) - fuel cells

$KULR (+1,05 %)
KULR Technology (US) - Thermal management & battery safety for mobile systems

1.Albemarle, 2.CATL, 3.Panasonic are my top 3 in this sector

9. cloud & infrastructure

$AMZN (-0,74 %) Amazon AWS (US) - Cloud, AI

$MSFT (+1,74 %) Microsoft Azure (US) - Cloud, AI

$GOOG (+0 %) Alphabet Google Cloud (US) - Cloud, ML

$VRT
Vertiv Holdings (US) - Data center infrastructure (UPS, cooling, edge)

$ORCL (-4,69 %)
Oracle Cloud (US) - ERP + Cloud

$IBM (-1,41 %)
IBM Cloud (US) - Hybrid cloud + AI

$OVH (+3,73 %)
OVHcloud (FR) - European cloud

1.Alphabet, 2.Microsoft, 3.Oracle are my top 3 in this sector

10. software & data platforms

$PLTR (+4,15 %) Palantir (US) - Data integration

$DDOG (-1,51 %) Datadog (US) - Monitoring

$SNOW (-2,18 %) Snowflake (US) - Data Cloud

$ORCL (-4,69 %) Oracle (US) - Databases, ERP

$SAP (+0,06 %) SAP (DE) - ERP systems

$SPGI S&P Global (US) - financial/market data

ROS2 Foundation - robotics middleware - not listed on the stock exchange

$NVDA (+0,32 %) NVIDIA Isaac (US) - robotics development - part of Nvidia

$INOD (+2,42 %) Innodata (US) - data annotation & AI training data

$PATH (-2,61 %)
UiPath (RO/US) - Robotic process automation

$AI (+0,5 %)
C3.ai (US) - AI platform

$ESTC (-1,86 %)
(NL/US) - Search & data analysis

1.S&P Global, 2.Palantir, 3.Datadog are my top 3 in this sector

11. end applications / robots

$ABB ABB (CH/SE) - Industrial Robots

$6954 (-0,25 %) Fanuc (JP) - Industrial robots

$TSLA (+7,29 %) Tesla Optimus (US) - humanoid robot

$9618 (-2,08 %) JD.com (CN) - logistics robot

$AAPL (+1,9 %) Apple (US) - Platform & UX

$700 (+0,52 %) Tencent (CN) - Platform & AI

$9988 (+0,34 %) Alibaba (CN) - logistics & platform

PAL Robotics (ES) - humanoid robots - not a listed company

Neura Robotics (DE) - cognitive humanoid robots - not a listed company

$TER (-3,3 %) Universal Robots (DK) - cobots - belongs to the Teradyne Corporation

Engineered Arts (UK) - humanoid robots - not a listed company

$ISRG (-2,09 %) Intuitive Surgical (US) - surgical robotics

$GMED (-1,18 %)
Globus Medical (US) - surgical robotics (ExcelsiusGPS platform)

$7012 (-2,58 %) Kawasaki Heavy Industries (JP) - industrial robots, automation

$CPNG (+0,15 %) Coupang (KR) - Logistics end user

$IRBT (-5,83 %)
iRobot (US) - consumer robotics (e.g. Roomba), non-humanoid, but navigation/sensor fusion

Boston Dynamics (US) - humanoid & mobile robots-no listed company

Hanson Robotics (HK) - humanoid robots (Sophia) - not a listed company

Agility Robotics (US) - humanoid robot "Digit" - not a listed company

1.Apple, 2.Tencent, 3.Alibaba are my top 3 in this sector

🛠 2. cross enablers (shovel manufacturers) - with hidden champions

Raw materials & battery materials

Albemarle - Lynas - Umicore

$SQM
SQM (CL) - Lithium

$ILU (+4,78 %)
Iluka Resources (AU) - Rare earths

$ARR (+1,85 %)
American Rare Earths (US/AU) - New supply chains

my number 1 in the sector is Albemarle

manufacturing technology

ASML - Applied Materials - Tokyo Electron

$LRCX (+1,38 %)
Lam Research (US) - Plasma/etching processes

$ASM (-0,7 %)
ASM International (NL) - ALD equipment

$MKSI (-0,79 %)
MKS Instruments (US) - Plasma/vacuum technology

my number 1 in the sector is ASML

Quality assurance

Keysight - Advantest - Teradyne

$EMR (-1,76 %)
National Instruments (US) - Measurement technology - from Emerson Electric adopted

$300567
ATE Test Systems (CN) - test systems

$FORM (-1,53 %)
FormFactor (US) - Wafer probing

my number 1 in the sector is Keysight

Motion & Drive

Parker-Hannifin

Festo (DE) - Pneumatics, Soft Robotics - not a listed company

Bosch Rexroth (DE) - Drives, Controls - not a listed company

$6481 (-0,42 %)
THK (JP) - Linear guides

my number 1 in the sector is Parker-Hannifin

Sensors/Imaging

$TDY Teledyne

$BSL (+2,44 %) Basler (DE) - Industrial cameras

FLIR (US) - Thermal imaging sensors - acquisition by Teledyne

ISRA Vision (DE) - Machine Vision - not a listed company

my number 1 in the sector is Teledyne

Magnets & Materials

MP Materials

$6501 (-3,32 %)
Hitachi Metals (JP) - Magnetic materials

VacuumSchmelze (DE) - Magnetic materials - not a listed company

$4063 (-1,01 %)
Shin-Etsu Chemical (JP) - Specialty materials

my number 1 in the sector is MP Materials

Chip Design & Simulation

Synopsys - Cadence - ARM

$SIE (-0,46 %)
Siemens EDA (DE/US)-Mentor Graphics-strategic business unit of Siemens AG

Imagination Tech (UK) - GPU-IP - not a listed company

$CEVA (-0,74 %)
CEVA (IL) - Signal Processor IP

my number 1 in the sector is Synopsys

Engineering & Lifecycle

PTC - Dassault - Siemens

Altair (US) - Simulation - no longer a listed company

$HXGBY (-0,75 %)
Hexagon (SE) - Metrology

$SNPS (-3,14 %)
ANSYS (US) - Simulation - takeover by Synopsys

my number 1 in the sector is Siemens

Networks & Data Centers

Arista - Cisco - Equinix

$HPE (-0,24 %)
Juniper (US) - Networks - Acquisition of HPE

$DTE (-0,15 %)
T-Systems (DE) - Industry cloud

$OVH (+3,73 %)
OVHcloud (FR) - European cloud

my number 1 in the sector is Arista

Cloud infrastructure

AWS - Azure - Google Cloud

$ORCL (-4,69 %)
Oracle Cloud (US) - ERP & databases

$IBM (-1,41 %)
IBM Cloud (US) - Hybrid Cloud

$9988 (+0,34 %)
Alibaba Cloud (CN) - Asian Cloud

$VRT
Vertiv Holdings (US) - Cloud/Infra

my number 1 in the sector is Alphabet (Google)

finance/information infra

S&P Global

$MCO
Moody's (US) - Ratings

$MSCI (-0,24 %)
MSCI (US) - Indices

$MORN
Morningstar (US) - Investment Research

my number 1 in the sector is S&P Global

Creative/Experience Infra

Adobe

$ADSK (-1,08 %)
Autodesk (US) - CAD & Design

$U
Unity (US) - 3D/AR simulation

Epic Games (US) - Unreal Engine - not a listed company

my number 1 in the sector is Adobe

Platform & Ecosystem

Apple - Tencent - Alibaba

$META (+0,41 %)
Meta (US) - AR/VR, Social Robotics

ByteDance (CN) - AI & platforms - not a listed company

$9888 (+2,67 %)
Baidu (CN) - AI & Cloud

my number 1 in the sector is Tencent

Infrastructure/Edge

Dell

$HPE (-0,24 %)
HPE (US) - Edge Computing

$SMCI
Supermicro (US) - AI servers

$6702 (-0,59 %)
Fujitsu (JP) - Edge & HPC

my number 1 in the sector is Dell

storage solutions

Micron

$000660
SK Hynix (KR) - Memory

$285A (+6,22 %)
Kioxia (JP) - NAND

$WDC
Western Digital (US) - Storage solutions

my number 1 in the sector is Micron

🏛 3. secondary key sectors with hidden champions

Financing & Capital

$GS (-0,52 %) Goldman Sachs (US) - investment bank; ECM/DCM, M&A, growth financing

$MS Morgan Stanley (US) - investment bank; tech banking, capital markets

$BLK (-1,22 %) BlackRock (US) - asset manager; capital allocation, ETFs/index funds

$9984 (+0,72 %) SoftBank Vision Fund (JP) - mega VC; growth equity in robotics/AI

Sequoia Capital (US) - venture capital; early/growth in AI/robotics - this is a classic venture capital fund

DARPA (US) - government R&D funding (robotics/defense) - independent research and development agency

EU Horizon (EU) - research funding/grants for DeepTech - Innovative Europe pillar

China State Funds (CN) - state industry/technology fund

Lux Capital (US) - VC for DeepTech - Uptake (US) - AI-based predictive maintenance

DCVC (US) - Robotics & AI focus - investing exclusively via VC fund investments

Speedinvest (AT) - EU VC for robotics - access to investment only via fund investments

my number 1 in the sector is Softbank

Maintenance & Service

$SIE (-0,46 %) Siemens (DE) - Industrial Service, Lifecycle & Retrofit

$ABBN (+0,15 %) ABB (CH/SE) - Robotics Service, Spare Parts, Field Support

$GEHC (-1,63 %) GE Healthcare (US) - Medtech service incl. robotic systems

Uptake (US) - AI-based predictive maintenance - not a listed company

Augury (US/IL) - condition monitoring, condition diagnostics - not a listed company

$KU2 KUKA Service (DE) - Robotics maintenance

$6954 (-0,25 %) Fanuc Service (JP) - global service network

Boston Dynamics AI Institute (US) - Robotics longevity - funded by Hyundai Motor Group

my number 1 in the sector is Siemens

Marketing & Advertising

$WPP (+0 %) WPP (UK) - global advertising group; branding/communications

$OMC Omnicom (US) - marketing/PR network

$PUB (+1,47 %) Publicis (FR) - communications/advertising group

$META (+0,41 %) Meta (US) - Digital Ads (Facebook/Instagram)

$GOOG (+0 %) Google Ads (US) - search & display advertising

TikTok / ByteDance (CN) - social ads & distribution - not a listed company

$AAPL (+1,9 %) Apple (US) - Branding/UX; Acceptance & Platform Marketing

$WPP (+0 %)
AKQA (UK/US) - Tech branding - Since 2012 majority owned by the WPP Groupbut continues to operate as an autonomous operating unit

R/GA (US) - Innovation marketing - not a listed company

Serviceplan (DE) - largest independent EU agency - not a listed company

my number 1 in the sector is Meta

Law, Regulation & Ethics

ISO (CH) - international standards, robotics standards

TÜV (DE) - certification & safety tests

UL (US) - safety/conformity testing

EU AI Act (EU) - legal framework for AI & robotics

UNESCO AI Ethics (UN) - global ethics guidelines

Fraunhofer IPA (DE) - Robotics safety standards

ANSI (US) - standards

IEC (CH) - Electrical engineering standards

Training & Talent

MIT (US) - Robotics/AI Research & Education

ETH Zurich (CH) - autonomous systems & robotics

Stanford (US) - AI/Robotics labs & spin-offs

Tsinghua University (CN) - Robotics/AI in Asia

CMU (US) - Robotics Institute

EPFL (CH) - Robotics research

TU Munich (DE) - humanoid robot "Roboy"

🌍 Top 25 companies for humanoid robotics

These companies are central to the development & production of humanoid robotsbecause without them, crucial parts of the chain would be missing:

Chips & computing power (brain of the robots)

$NVDA (+0,32 %) Nvidia (US) - AI GPUs & Isaac platform, foundation for robotic AI

$2330 TSMC (TW) - world's most important foundry, produces the AI chips

$ASML (+1,12 %) ASML (NL) - EUV lithography, indispensable for chip production

$005930 Samsung Electronics (KR) - memory, logic, foundry

$000660 SK Hynix (KR) - DRAM & NAND memory for AI

$MU (+4,63 %) Micron (US) - Memory solutions for AI workloads

my number 1 in the sector is ASML

Sensors & perception (senses of robots)

$SONY Sony (JP) - image sensors, market leader

$6861 (-0,37 %) Keyence (JP) - Industrial sensors & vision systems

$CGNX (-0,21 %) Cognex (US) - Machine Vision, precise image processing

my number 1 in the sector is Keyence

Actuators & motion (muscles of robots)

$IFX (-0,36 %) Infineon (DE) - power electronics, motor control

$6594 (+4,01 %) Nidec (JP) - World market leader for electric motors

$PH Parker-Hannifin (US) - hydraulics/pneumatics, motion technology

$6481 (-0,42 %) THK (JP) - Linear guides & actuators

my number 1 in the sector is Parker-Hannifin

Communication, cloud & infrastructure (nerves & data flow)

$QCOM (+0,26 %) Qualcomm (US) - Mobile & Edge Chips

$AMZN (-0,74 %) Amazon AWS (US) - Cloud & AI infrastructure

$MSFT (+1,74 %) Microsoft Azure (US) - Cloud, AI services

$CSCO (-1,67 %) Cisco (US) - Networks & Security

$VRT Vertiv Holdings (US) - Data Center Infrastructure

my number 1 in the sector is Microsoft

End Applications & Platforms (robots themselves)

$TSLA (+7,29 %) Tesla (US) - humanoid robot Optimus

$ABBN (+0,15 %) ABB (CH/SE) - Robotics & Automation

$6954 (-0,25 %) Fanuc (JP) - industrial robots & CNC systems

$7012 (-2,58 %) Kawasaki Heavy Industries (JP) - industrial robots

PAL Robotics (ES) - humanoid robots (TALOS, ARI, TIAGo) - not a listed company

Neura Robotics (DE) - cognitive humanoid robots - not a listed company

Universal Robots (DK) - cobots

my number 1 in the sector is Tesla

🇪🇺 Top 10 European key companies for humanoid robotics

$ASML (+1,12 %)
ASML (NL)

World market leader in EUV lithography - no modern chips for AI & robotics without ASML.

$IFX (-0,36 %) Infineon (DE)

Leading in power electronics & motor control - crucial for actuators of humanoid robots.

$STM (-0,9 %)
STMicroelectronics (FR/IT)

Sensors, microcontrollers & power chips - the basis for control & perception.

$SAP (+0,06 %)
SAP (DE)

ERP & data platforms, important for integrating humanoid robots into industrial processes.

$SIE (-0,46 %)
Siemens (DE)

Industrial software, automation, digital twin - key for engineering & lifecycle management.

$KU2 KUKA (EN)

Robotics pioneer, industrial robots & automation - know-how for humanoid motion mechanics.

PAL Robotics (ES) - not a listed company

Specialist for humanoid robots (TALOS, ARI, TIAGo), internationally used in research & service.

Neura Robotics (DE) - Not a listed company

Young high-tech company, develops cognitive humanoid robots with advanced AI (4NE-1).

Universal Robots (DK) - Not a listed company

Market leader for cobots - platform for safe human-robot collaboration.

Engineered Arts (UK) - not a listed company

Develops humanoid robots such as Amecaknown for realistic facial expressions & gestures - important for HRI (Human-Robot Interaction)

🌏 Top 10 Asian key companies for humanoid robotics

$2330
TSMC (Taiwan)

World's largest semiconductor foundry, produces high-end chips (e.g. Nvidia, AMD, Apple) - no AI hardware without TSMC.

$005930
Samsung Electronics (South Korea)

Foundry, memory, logic chips, image sensors - extremely broadly positioned in robotics components.

$000660
SK Hynix (KR) - Memory

$SONY
Sony (Japan)

Market leader in CMOS image sensors, essential for robotic vision & perception.

$6861 (-0,37 %)
Keyence (Japan)

Sensor technology & machine vision for industrial automation, widely used in robotics.

$6954 (-0,25 %)
Fanuc (Japan)

Industrial robots & CNC systems, one of the most important manufacturers of robotics hardware worldwide.

$6506 (-0,87 %)
Yaskawa Electric (Japan)

Drives, motion control & robot arms - relevant for humanoid motion control.

$6594 (+4,01 %)
Nidec (Japan)

World market leader for electric motors (from mini motors to high-performance drives).

$7012 (-2,58 %)
Kawasaki Heavy Industries (JP) - Industrial robots

$9618 (-2,08 %)
JD.com (China)

Driver for robotics in e-commerce & logistics, invests in humanoid robotics applications

The possibility that we are currently in an AI bubble is real. As with previous hypes, the valuation of AI companies seems to be ahead of their actual profitability. Moreover, the S&P 500 is heavily overconcentrated in a handful of large tech players that are benefiting from the AI hype. Should these fall, the entire index will be pulled down with them.

That risk is compounded by the fact that the S&P has become historically expensive, with P/E ratios well above average. The risks are clear: if promised growth fails to materialize, valuations could collapse hard. The situation is reminiscent of the dot.com bubble of the early 2000s, but with an important difference: now, a lot of credit is being borrowed to finance AI growth. That makes a blow more dangerous, because debt puts extra pressure in a downturn.

Conclusion: AI could change the world permanently, but current valuations seem fragile. A bubble need not mean AI disappears, it does mean investors should prepare for sharp corrections.

$NVDA (+0,32 %)
$MSFT (+1,74 %)
$AMZN (-0,74 %)
$GOOGL (+0,02 %)
$META (+0,41 %)
$AVGO (+0,14 %)
$TSM (+0,23 %)
$ORCL (-4,69 %)
$PLTR (+4,15 %)
$ADBE (-3,55 %)
$AMD (+1,66 %)
$AAPL (+1,9 %)
$IBM (-1,41 %)
$QCOM (+0,26 %)
$MU (+4,63 %)
$SNOW (-2,18 %)
$CRM (-1,31 %)
$MDB (-0,34 %)
$AI (+0,5 %)
$VOO (+0,04 %)

$PDD (-0,47 %)
$601318
$EH
$OKTA (-1,33 %)
$MDB (-0,34 %)
$3690 (-0,98 %)
$KSS (-4,88 %)
$ANF
$CRWD (+1,14 %)
$SNOW (-2,18 %)
$HPQ (-1,57 %)
$NTNX (-2,71 %)
$NVDA (+0,32 %)
$DHER (+0,56 %)
$LI (+0,48 %)
$DELL (-0,26 %)
$S (-0,64 %)
$IREN (+3,1 %)
$ULTA (-1,72 %)
$MRVL (+0,92 %)
$AFRM (+2,33 %)
$ADSK (-1,08 %)
$BABA (-0,3 %)

The hype is all about humanoid robots, but the constant winners are in the background.

I have divided the analysis into two perspectives. 1. the complete value chain of humanoid robots, which shows all the players from the chip to the finished robot, and 2. the blade manufacturers in the background, who always earn money as enablers, regardless of which manufacturer wins the race.

ASML, Applied Materials and Tokyo Electron dominate in manufacturing technology. Quality assurance comes from Keysight, Advantest and Teradyne. Chip design is supported by Synopsys, Cadence and ARM. Data streams are secured by Arista Networks, Cisco and Equinix. The computing basis is created in the cloud by Amazon, Microsoft and Alphabet. Albemarle, Lynas and Umicore play a central role in raw materials and battery materials. These companies monetize their customers' investment waves, have high barriers to entry, service revenues and pricing power, but remain cyclical with risks from export rules, capex cuts and currency movements.

🌐 Value chain of humanoid robots Sector overview

1. research & chip design (IP / EDA)

$ARM (-3,24 %)
ARM Holdings (ARM, UK/USA) - CPU architectures

$SNPS (-3,14 %)
Synopsys (SNPS, USA) - Chip design software

$CDNS (-2,87 %)
Cadence Design Systems (CDNS, USA) - EDA & Simulation

2. manufacturing technology & equipment

$ASML (+1,12 %)
ASML (ASML, NL) - EUV lithography, key monopoly

$AMAT (-0,43 %)
Applied Materials (AMAT, USA) - Process equipment

$8035 (+3,76 %)
Tokyo Electron (8035.T, JP) - Wafer equipment

$KEYS (-1,08 %)
Keysight Technologies (KEYS, USA) - Test & RF measurement technology

$6857 (-1,33 %)
Advantest (6857.T, JP) - Semiconductor test systems

$TER (-3,3 %)
Teradyne (TER, USA) - Test systems + robotics (Universal Robots)

3. chip production (Foundries)

$TSM (+0,23 %)
TSMC (TSM, TW) - Largest contract manufacturer

$005930
Samsung Electronics (005930.KQ, KR) - Memory + Foundry

$GFS (-1,1 %)
GlobalFoundries (GFS, USA) - Specialized production

4. computing & control unit ("brain")

$NVDA (+0,32 %)
Nvidia (NVDA, USA) - GPUs, AI accelerators

$INTC (-2,38 %)
Intel (INTC, USA) - CPUs, FPGAs

$AMD (+1,66 %)
AMD (AMD, USA) - CPUs/GPUs

$MRVL (+0,92 %)
Marvell Technology (MRVL, USA) - Network/data center chips

5. sensors ("senses")

$6758 (+0,65 %)
Sony (6758.T, JP) - CMOS image sensors

$6861 (-0,37 %)
Keyence (6861.T, JP) - Vision systems, sensors

$STM (-0,9 %)
STMicroelectronics (STM, CH/FR) - MEMS sensors

6. actuators & power electronics ("muscles")

$IFX (-0,36 %)
Infineon (IFX, DE) - Power semiconductors, SiC

$ON (-1,18 %)
N Semiconductor (ON, USA) - SiC/Power Chips

$STM (-0,9 %)
STMicroelectronics (STM, CH/FR) - Motor control & power

$TXN (-0,87 %)
Texas Instruments (TXN, USA) - Motor control, power ICs

$ADI (-1,52 %)
Analog Devices (ADI, USA) - Energy & BMS chips

7. communication & networking ("nerves")

$QCOM (+0,26 %)
Qualcomm (QCOM, USA) - 5G/SoCs

$AVGO (+0,14 %)
Broadcom (AVGO, USA) - Network & radio chips

$SWKS (+1,03 %)
Skyworks Solutions (SWKS, USA) - RF components

8. energy supply

$300750
CATL (300750.SZ, CN) - Batteries

$6752 (+0,91 %)
Panasonic (6752.T, JP) - Batteries for automotive/robotics

$373220
LG Energy Solution (373220.KQ, KR) - Batteries

9. cloud & infrastructure

$AMZN (-0,74 %)
Amazon (AMZN, USA) - AWS

$MSFT (+1,74 %)
Microsoft (MSFT, USA) - Azure

$GOOG (+0 %)
Alphabet (GOOGL, USA) - Google Cloud

$EQIX (-1,13 %)
Equinix (EQIX, USA) - Data center operator

$ANET (-8,99 %)
Arista Networks (ANET, USA) - Network infrastructure

$CSCO (-1,67 %)
Cisco Systems (CSCO, USA) - Edge & Data Center Networks

10. software & data platforms

$PLTR (+4,15 %)
Palantir (PLTR, USA) - Data integration, decision software

$DDOG (-1,51 %)
Datadog (DDOG, USA) - Cloud monitoring / observability

$SNOW (-2,18 %)
Snowflake (SNOW, USA) - Cloud-native data platform

$ORCL (-4,69 %)
Oracle (ORCL, USA) - Databases, ERP

$SAP (+0,06 %)
SAP (SAP, DE) - ERP/cloud systems

$PATH (-2,61 %)
UiPath (PATH, USA) - Automation software (RPA)

$AI (+0,5 %)
C3.ai (AI, USA) - Enterprise AI platform

11. end applications / robots

$ABB
ABB (ABB, CH) - Industrial robots

$6954 (-0,25 %)
Fanuc (6954.T, JP) - Industrial robots, CNC

$TSLA (+7,29 %)
Tesla (TSLA, USA) - Optimus" humanoid robot

$9618 (-2,08 %)
JD.com (JD, CN) - E-commerce & automated logistics

🛠️ Shovel manufacturer for humanoid robots

🔹 Hardtech (physical "shovels")

These companies provide the material basis: manufacturing machines, raw materials, semiconductor base.

Semiconductor Equipment & Manufacturing

$ASML (+1,12 %)
ASML (ASML, NL) - EUV lithography (monopoly).

$AMAT (-0,43 %)
Applied Materials (AMAT, USA) - Wafer equipment.

$8035 (+3,76 %)
Tokyo Electron (8035.T, JP) - Process equipment.

Test systems (hardware-side)

$6857 (-1,33 %)
Advantest (6857.T, JP) - Semiconductor test.

$TER (-3,3 %)
Teradyne (TER, USA) - Test systems + industrial robots.

Materials & raw materials

$ALB (+1,02 %)
Albemarle (ALB, USA) - Lithium (batteries).

$LYC (-0,15 %)
Lynas Rare Earths (LYC.AX, AUS) - Rare earths for magnets.

$UMICY (+1,26 %)
Umicore (UMI.BR, BE) - Cathode materials, recycling.

🔹 Soft/infra (digital "shovels")

These companies supply the infrastructure & toolswithout which development, training and operation would be impossible.

Design Software & IP

$SNPS (-3,14 %)
Synopsys (SNPS, USA) - EDA software.

$CDNS (-2,87 %)
Cadence Design Systems (CDNS, USA) - Chip design & simulation.

$ARM (-3,24 %)
ARM Holdings (ARM, UK/USA) - CPU architectures (license model).

Test & Measurement (software/signal level)

$KEYS (-1,08 %)
Keysight Technologies (KEYS, USA) - Electronics & RF test systems.

Network & data center backbone

$ANET (-8,99 %)
Arista Networks (ANET, USA) - High-speed networks.

$CSCO (-1,67 %)
Cisco Systems (CSCO, USA) - Data center/edge networks.

$EQIX (-1,13 %)
Equinix (EQIX, USA) - Data centers (colocation).

Cloud infrastructure

$AMZN (-0,74 %)
Amazon (AMZN, USA) - AWS (cloud, AI training).

$MSFT (+1,74 %)
Microsoft (MSFT, USA) - Azure.

$GOOG (+0 %)
Alphabet (GOOGL, USA) - Google Cloud.

Takeaway: Investing in the infrastructure stack allows you to participate in the robotics trend regardless of the subsequent product winner and reduces the individual product risk, but you have to live with cycles. In your opinion, which stage of the chain offers the best risk/return combination and fits into a disciplined portfolio?

Source: Own analysis based on publicly available company information and IR materials of the companies mentioned.

Image material: Techa Tungateja/iStockphoto

Hello community,

I would like to present my revised portfolio strategy to you today and am looking forward to your opinions and constructive feedback. I am pursuing a core-satellite approach.

The core (approx. 40%):

My foundation for long-term and stable asset accumulation. Here I rely on the MSCI World and the Nasdaq 100 in order to participate in global economic growth in a broadly diversified manner. Simple, cost-effective and proven.

The satellites (approx. 60%):

Here I pursue clear, thesis-based investments in individual stocks. These can be divided into six thematic clusters:

1. the AI infrastructure (cloud, data & security):

My biggest bet. I believe that the real winners of the AI revolution are the companies that provide the foundation.

Positions:

Cloudflare, CrowdStrike, Snowflake, Datadog.

2. the fintech revolution in emerging markets:

The disruption of traditional banking in populous and digitally savvy regions.

Positions:

MercadoLibre, Nu Holdings.

3. global champions & turnarounds:

Here I bundle global market leaders that I consider undervalued or that are on the verge of a comeback.

Positions:

Alibaba, BYD. For me, these are not speculative gambles, but counter-cyclical bets on dominance in their respective markets.

4. industrial excellence & luxury brands:

A bet on undisputed market leaders in highly profitable niches with strong moats - from armor to high-tech automation to luxury sports cars and one of the best investors of all time.

Positions: Rheinmetall, Ferrari, Berkshire Hathaway, Keyence.

5. future technologies & energy:

The thesis here is clear: more AI and more data centers require massively more energy.

Positions:

The Uranium ETF, Iris Energy, American Lithium.

6. megatrends: health & sustainability:

Investments in global market leaders that benefit from two unstoppable social developments: demographic change and the need for a circular economy.

PositionsNovo Nordisk, Tomra Systems.

My question to the Getquin community:

What is your opinion on this strategy and allocation?

#DepotCheck #PortfolioReview #Feedback #CoreSatellite #Strategy

$NET (-1,57 %)
$CRWD (+1,14 %)
$NOVO B (+0,98 %)
$1211 (-2,11 %)
$BABA (-0,3 %)
$IREN (+3,1 %)
$NLR (-0,76 %)
$ACWI
$WSML (-0,48 %)
$RACE (-0,29 %)
$BRK.B (-0,56 %)
$RHM (+0,57 %)
$6861 (-0,37 %)
$DDOG (-1,51 %)
$MELI (+0,07 %)
$SNOW (-2,18 %)
$NU (+0,83 %)
$TOM (-0,92 %)

💡 What does Snowflake do?

Snowflake offers a cloud-native platform for companies to store, analyze, share and monetize data - regardless of the cloud provider (AWS, Azure, Google Cloud).

Customers can access all data with a standardized architecture without having to manage infrastructure themselves. This makes Snowflake particularly attractive for modern, data-driven companies.

🔧 Products & platform

🔵 Snowflake Data Cloud

→ Combines Data Lake, Data Warehouse & Analytics in one scalable platform.

→ No more silos - one data foundation for all workloads.

🔵 Cortex AI (greatly expanded since 2025)

→ Agent AI for companies: Data analysis, automation & evaluation with natural language - also for non-tech users.

→ Goal: "AI at the touch of a button" for all business departments.

🔵 Snowflake Marketplace

→ Companies can trade data products or enrich their AI models with external data sets.

→ Strengthens platform logic - with network effects and monetization.

🔵 Industry solutions

→ e.g. for financial service providers, healthcare, media, retail.

→ Tailors the platform specifically to industry-specific use cases.

📊 Current key figures (as of 11.07.2025)

- Turnover (TTM): 3.63 billion dollars (+26 %)

- Customers >1 million USD turnover: 606 (+27 %)

- Net retention rate: 124 % ✅

- Gross margin: 76 %

- Rule of 40: 45.9 % ✅

- Magic number: 1.45 ✅

- Market capitalization: 72 billion $

- Share price: 190.94 $

📈 Why Snowflake is interesting

✅ Strong customer loyalty

→ NRR of 124% shows: Existing customers grow with us and actively expand their use.

✅ Scalable platform

→ Once integrated, companies are strongly committed to the data cloud.

→ High switching costs & long-term upsell possible.

AI as a catalyst

→ Cortex AI & the Data Marketplace are drivers for future growth.

→ Companies are currently looking for solutions to integrate their own data into AI workflows - Snowflake delivers exactly that.

Cloud agnostic

→ Full freedom for customers, independent of AWS, Azure or Google Cloud.

→ This reduces lock-in risks and increases market reach.

✅ Strong customer base

→ Well-known customers include Capital One, Allianz, Sony, Adobe, Warner Bros. Discovery, Kraft Heinz, Dropbox and Instacart.

→ Many of these customers use Snowflake company-wide - including for AI-driven applications.

✅ Efficient growth

→ Rule of 40 and Magic Number fulfilled - strong signal for operational quality despite net losses.

⚠️ Risks & weaknesses

- Not GAAP-profitable: Still losses despite strong cash flow.

- High valuation: P/E ~20 → ambitious in a volatile tech environment.

- Competition: e.g. from Databricks, AWS Redshift, Google BigQuery.

- Price fluctuations: Since IPO 2020 partly strong volatility - but recently stable trend again.

🧠 Conclusion

Snowflake is more than a data warehouse - it is becoming the central hub for data-driven companies with a focus on AI, analysis & monetization.

The platform approach with network & lock-in effects, paired with strong operational metrics (NRR, Rule of 40, Magic Number), makes Snowflake an exciting long-term asset in the cloud/AI sector.

#Snowflake
#SNOW
#Aktienanalyse
#TechAktien
#GrowthStock
#DataCloud
#KI
#AI
#Plattformökonomie
#CortexAI
#SaaS
#RuleOf40
#MagicNumber
#LangfristigInvestieren
#CloudComputing
#Getquin
#AktienMitZukunft

($SNOW (-2,18 %) )

On CoinGecko I see $SQD (+16,13 %) at around 0.17 US dollars and a market cap of around 121 million dollars. YCharts calls for $SNOW (-2,18 %) Snowflake at almost 74 billion dollars - a ratio of around one to six hundred. It's numbers like this that tickle the nerd in me.

Snowflake stores data for traditional enterprise customers. SQD wants to master the same discipline on-chain for more than two hundred blockchains, including real-time streams and ZK proofs. The OceanStream launch plus ex-Bridgewater head of technology Howie Altman in the cockpit shows: This is not a breezy pitch, it's already live.

Now for the retarded math that gets my pulse racing: If $SQD eventually reaches just one percent of Snowflake's valuation, we're talking $740 million. Spread over roughly 730 million tokens, that's about one dollar per SQD - six times the current price. Five percent? A good five dollars, thirty times the leverage. It's all purely theoretical, of course, but that's what makes weekends interesting.

The tailwind doesn't just come from technology. The Piëch family is stacking up tokens via Heidelberger Beteiligungsholding, which is currently renaming itself SQD.AI Strategies AG and is raising up to €50 million. Christian Angermayer's Apeiron is also involved. When such long-term investors come on board, it's rarely about quick flips.

And the macro trend? Standard Chartered sees a market of a good 30 trillion dollars for tokenized real-world assets by 2034. Someone has to lay the data pipeline in this new financial internet, and SQD wants to be that tollbooth.

Yes, risks remain: Two hundred chains won't scale on their own, regulators might get in a bad mood, and the final staking model won't arrive until the third quarter of 2025. But that's exactly why the valuation is still dwarfed.

In short: for me, SQD is a small octopus with a jet pack. If it secures even one percent of the Snowflake buffet, it will be a sporty one.

Left

https://www.coingecko.com/en/coins/sqd-2

https://ycharts.com/companies/SNOW/market_cap

https://www.investing.com/news/cryptocurrency-news/sqd-network-signals-institutional-push-with-strategic-hire-and-oceanstream-launch-4091410

https://www.coindesk.com/press-release/2025/07/02/heidelberger-beteiligungsholding-ag-begins-acquiring-sqd-tokens-and-prepares-to-rename-as-sqd-ai-strategies-ag

https://cointelegraph.com/press-releases/heidelberger-beteiligungsholding-ag-begins-acquiring-sqd-tokens-and-prepares-to-rename-as-sqd-ai-strategies-ag

https://www.ledgerinsights.com/standard-chartered-tokenization-market-to-reach-30-1-trillion-by-2034-trade-finance-will-be-significant/