📈 ON Semiconductor jumped 3.9% after Q2 revenue of $1.6B and EPS of $0.74 beat estimates. Free cash flow soared 301% YoY, with AI data centers now its fastest-growing segment.
Discussão sobre ON
Postos
24ONSemi Raises Revenue Forecast for Q3
Here's the latest buzz about ON Semiconductor
$ON (+0,1%) (NASDAQ: ON) regarding today’s Q2 2026 Earnings Release (August 3, 2026, after U.S. market close):
🚀 Wall Street Benchmarks & Expectations
With the semiconductor cycle having bottomed out, Wall Street is looking ahead to the second quarter of 2026 for the power semiconductor and sensor specialist:
Revenue Forecast (Consensus): approx. $1.59 billion (+8% YoY). Management’s guidance range is $1.535 billion to $1.635 billion.
Adjusted earnings per share (Adj. EPS): Expected at $0.72 (+36% YoY compared to $0.53 in the same quarter of the previous year).
Gross margin (guidance): Targeted within a range of 38.0% to 40.0% (non-GAAP).
🔮 Automotive Bottoming Out vs. AI Data Center Boost
Automotive & SiC (silicon carbide): Inventory adjustments at automakers are winding down. Sales of SiC power solutions for electric vehicles (EVs) and advanced driver-assistance systems (ADAS) are regaining momentum.
AI data centers as a growth driver: A key catalyst is the power supply for AI servers. Management has announced that revenue in the AI data center segment is expected to double in calendar year 2026.
Portfolio streamlining (“Fab Right Strategy”): Onsemi is strategically divesting low-margin, non-core businesses (~$300 million in revenue exits for the full year), which slightly dampens total revenue but improves gross margins.
🤖 The Focus: Q3 Outlook & Synaptics Deal
New growth driver: In addition to the quarterly figures themselves, investors are looking for details on the planned acquisition of Synapticsto broaden Onsemi’s presence in the areas of Physical AI, edge computing, and sensor technology.
Q3 2026 Outlook: The market expects the recovery to continue in the third quarter, with a consensus EPS of around $0.84.
⚡ 💡 Jack’s take
Onsemi has left the cyclical trough behind and is shifting from a defensive to an offensive stance! The key lies in its dual drivers: On the one hand, the automotive sector is once again delivering stable cash flows following the inventory adjustment; on the other hand, the business with high-performance power supplies for AI servers is scaling massively. If CEO Hassane El-Khoury follows through on his Q3 outlook, the stock will remain one of the most exciting turnaround and AI-driven growth stocks in the chip industry!
Let's move on to the next round!
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Semiconductor and memory shares 1-month performance 📈
Which ones are you invested in?
+107% Intel $INTC (+3,07%)
+92% Credo Techn. $CRDO
+91% Astera Labs $ALAB (+0,79%)
+73% MediaTek $2454
+72% AMD $AMD (+1,98%)
+72% Seagate $STX (+3,53%)
+71% SanDisk $SNDK (+6,06%)
+67% KIOXIA $285A (+7,7%)
+66% ON Semiconductor $ON (+0,1%)
+61% STMicroelectronics $STM (+0,25%)
+55% Marvell $MRVL (+4,19%)
+51% NXP $NXPI (+0,74%)
+49% Siltronic $WAF (+1,57%)
+47% GLOBALFOUNDRIES $GFS (-1,37%)
+47% SK Hynix $000660
+47% Micron $MU (+3,25%)
+46% Infineon $IFX (+0,43%)
+45% Western Digital $WDC (+5,48%)
+43% Texas Instruments $TXN (+0,06%)
+42% Arm Holdings $ARM (+0,98%)
+41% QUALCOMM $QCOM (+0,68%)
+41% Monolithic Power $MPWR (+4,08%)
+40% Aixtron $AIXA (+0,25%)
+40% Microchip Techn. $MCHP (+0,54%)
+34% Broadcom $AVGO (+1,76%)
+30% Skyworks $SWKS (+0,57%)
+25% Samsung Electronics $005930
+24% Analog Devices $ADI (-0,22%)
+18% TSMC $TSM (+1,77%)
+16% Lam Research $LRCX (+3,33%)
+14% KLA $KLAC (+1,04%)
+13% NVIDIA $NVDA (+1,67%)
+10% Applied Materials $AMAT (+1,84%)
+9% ASML $ASML (+1,56%)
I have AMD. Which one do you have?
Will the sell-off continue next week?
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Semiconductor Q3’25 Earnings Highlights
🔹 Revenue: $1.55B (Est. $1.52B) 🟢; DOWN -12% YoY
🔹 Adj EPS: $0.63 (Est. $0.59) 🟢; DOWN -36% YoY
🔹 Adj Gross Margin: 38.0% (Est. 37.5%) 🟢; -750 bps YoY
🔹 Adj Operating Margin: 19.2% (Est. 18.6%) 🟢; -900 bps YoY
Segments
🔹 Analog & Mixed-Signal Rev: $583.3M (Est. $573.2M) 🟢; DOWN -11% YoY
🔹 Power Solutions Rev: $737.6M; DOWN -11% YoY
🔹 Intelligent Sensing Rev: $230.0M (Est. $226.8M) 🟢; DOWN -18% YoY
Expenses
🔹 R&D: $141.9M (Est. $141.5M) 🔴; DOWN -6% YoY
🔹 Adjusted Opex: $291.2M (Est. $287.8M) 🔴; DOWN -4.4% YoY
Guidance (Q4)
🔹 Revenue: $1.48B–$1.58B (Est. $1.53B) 🟡
🔹 Adjusted EPS: $0.57–$0.67 (Est. $0.62) 🟡
🔹 Adjusted Gross Margin: 37%–39% (Est. 37.8%) 🟡
Commentary
🔸 “Seeing continued signs of stabilization across core markets.”
Quartalszahlen 03.11.25-07.11.15
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The secret profiteer of the AI hype
Infineon $IFX (+0,43%) is the global market leader in power semiconductors, i.e. the chips that are essential for powering data factories. Business is going better than ever before - but this is probably just the beginning. "The demand for power semiconductors for AI data centers is increasing massively," Infineon top manager Richard Kuncic told Handelsblatt.
The high investments are a blessing for Infineon in two respects.
Firstly, the company is benefiting from the sheer number of new server farms. In recent weeks, OpenAI has signed contracts worth billions with Oracle, Nvidia and AMD. "There is huge demand," said founder Sam Altman last week, but "we are so constrained by computing power."
Other companies are also investing unprecedented sums in data centers. Analysts at Jefferies speak of more than 300 major projects in the United States alone. The four largest hyperscalers, i.e. providers of computing power, would spend 90 billion dollars on new facilities every quarter.
Secondly, more and more power semiconductors are required to supply computers with energy. According to Kuncic, a server cabinet today contains such chips worth between 12,000 and 14,000 euros. This covers the energy requirements of 128 graphics processors, so-called GPUs. GPUs are supplied by companies such as NVIDIA $NVDA (+1,67%) and AMD $AMD (+1,98%) They are the core of AI computers.
According to Kuncic, engineers will accommodate 576 GPUs in the next generation of server racks. This will increase the value of the power semiconductors to more than 100,000 euros.
But that's not all. Kuncic: "More and more fields of application are emerging for AI. This is also increasing the demand for power semiconductors." Until now, companies such as OpenAI have mainly used the computers to train AI models at great expense. In the future, however, AI will be used much more frequently.
Europe's largest semiconductor manufacturer promised its investors sales of AI power semiconductors of 600 million euros for the past financial year, which ended on September 30. At the beginning of August, CEO Jochen Hanebeck said that this figure is set to rise to one billion euros in the new financial year.
It is possible that the CEO will increase this forecast in mid-November when he presents the latest results and ventures an outlook for the new financial year.
Infineon supplies the entire value chain with its power semiconductors, from the producers of transformers to computer manufacturers such as $DELL (+1,05%) Dell , $DELTA (-2,07%) Delta and $HPE (+1,55%) HP, to operators such as $AMZN (+5,09%) Amazon and $GOOGL (+1,29%) Google.
Together with Nvidia, the world's most valuable corporation, the Munich-based company is developing the next generation of power supply systems for AI data centers. The company made the announcement this spring.
With a market share of just under 18 percent, Infineon is the world's top-selling supplier of power semiconductors. The number two, US competitor Onsemi $ON (+0,1%)has around nine percent. Infineon is far ahead of its competitors in terms of technology and production, according to Deutsche Bank analyst Johannes Schaller last week.
Source text (excerpt) & graphic: Handelsblatt, 15.10.25

The Humanoid 66 - The next industrial turning point
Good morning dear Getquin community 👋
Today I would like to introduce you to The Humanoid 66 and what it's all about. The market for humanoid robotics is just taking off and is facing one of the biggest upheavals since the advent of the automobile. Morgan Stanley and Goldman Sachs expect the market to be worth between 38 billion and three trillion US dollars by 2035. By 2050, over 60 million humanoid robots could be in use in the USA alone.
With The Humanoid 66, Morgan Stanley has compiled a list of 66 companies that are likely to benefit directly or indirectly from this development. These include not only the manufacturers themselves, but also suppliers and technology groups that provide the necessary infrastructure, from semiconductor and battery producers to sensor technology and software through to platform operators for artificial intelligence.
The leading players include $TSLA (+4,56%) Tesla with Optimus, Figure AI with Figure 02, Agility Robotics with Digit, Boston Dynamics with Atlas and Unitree with H1 and G1. Tesla is already planning to use more than a thousand Optimus robots in its own factories by 2024. The goal is clear: to make humanoid machines suitable for mass production at prices between 20,000 and 30,000 US dollars. Figure AI works closely with $MSFT (+1,28%) Microsoft, OpenAI and $BMW (+0,12%) BMW and was able to raise over 675 million US dollars in a financing round.
Technological progress is the key driver of this development. Multimodal generative AI enables humanoid robots to understand speech, communicate with humans and perform tasks autonomously. Advances in actuator technology, LiDAR systems, force sensors and battery technology are making the machines more efficient and more human-like. The energy density of modern lithium-ion cells is increasing by around 20 percent every two years, while the cost per kilowatt hour is expected to fall to 80 US dollars by 2030.
At the same time, wage costs for human labor are rising significantly. In the USA, they currently stand at just under 40 US dollars per hour, while in China they are around 6.50 US dollars and in India 4.45 US dollars. Studies show that automation can reduce labor costs in industrialized countries such as Germany, Japan and the USA by up to a third by 2025. Sectors such as agriculture, construction, care, logistics and manufacturing, where millions of jobs remain unfilled today, will be particularly affected.
The Humanoid 66 shows that this change goes far beyond individual companies. A new industrial ecosystem is emerging that links hardware, software, energy and data. Price reduction, scalability and integration into existing value chains will determine who will be among the winners.
Takeaway: Humanoid robotics is no longer a vision of the future, but the beginning of a structural reorganization of the global economy. Those who invest early in key areas such as AI chips, batteries, sensor technology and automation are positioning themselves in a sector that is likely to have a similarly profound impact as the invention of the car. The crucial question is just how far society is prepared to accept and integrate this new form of workforce.
For those who want to delve deeper: These are the companies featured in the Morgan Stanley report Humanoids @Tenbagger2024
@Multibagger
1. Tesla - USA - $TSLA (+4,56%)
2. Toyota - Japan - $7203 (+0,27%)
3. Xpeng - China - $XPEV (-0,54%)
4. Naver - South Korea - (not listed)
5. CATL - China - $3750 (-0,57%)
6. LG Energy Solution - South Korea - $373220 Subsidiary of LG
7. Samsung / Samsung SDI - South Korea - $SMSN (+4,7%)
8. SK Innovation - South Korea - $096770
9. HD Hyundai Infracore / Doosan (component) - South Korea - $042670
10. Hengli Hydraulic - China - $601100
11. NTN - Japan - $6472 (+2,44%)
12. NSK - Japan - $6471 (+0%)
13. Sanhua - China - $002050
14. Siemens - Germany - $SIE (-0,88%)
15. Top Group ("Topu") - China - $601689
16. Ambarella - USA - $AMBA (+2,25%)
17. Synopsys - USA - $SNPS (+1,18%)
18. NXP - Netherlands / USA - $NXPI (+0,74%)
19. Qualcomm - USA - $QCOM (+0,68%)
20. TSMC - Taiwan - $TSM (+1,77%)
21. Wolfspeed - USA - $WOLF
22. ARM - UK - $ARM (+0,98%)
23. onsemi - USA - $ON (+0,1%)
24. cadence - USA - $CDNS (+1,64%)
25. STMicroelectronics - Netherlands - $STM (+0,25%)
26. NVIDIA - USA - $NVDA (+1,67%)
27. SK hynix - South Korea - $HY9H (+4,73%)
28. sociionext - Japan - $6526 (+0%)
29. SMIC - China - $0981
30. infineon - Germany - $IFX (+0,43%)
31. Renesas - Japan - $6723 (+1,92%)
32. Dassault Systèmes - France - $DSY (+0,98%)
33. Mobileye - Israel / Intel ecosystem - $MBLY
34. Hexagon - Sweden - $HEXA B (-0,75%)
35. Knight Transportation - USA - $KNX (-1,73%)
36. DSV - Denmark - $DSV (-1,28%)
37. Werner Enterprises - USA - $WERN (-5,82%)
38. DHL Group - Germany / international - $DHL (-1,91%)
39. Kuehne + Nagel - Switzerland - $KNIN (-0,8%)
40. Obayashi - Japan - $1802 (+2,19%)
41. China State Construction Engineering Corporation (CSCEC) - China - $601668
42. RBG (presumably an Asian construction company) - (not listed)
43. Shimizu - Japan - $1803 (+2,26%)
44. Taisei - Japan - $1801 (+3,19%)
45. Baker Hughes - USA - $BKR (-0,61%)
46th SLB (Schlumberger) - USA - $SLB
47. Tenaris - Luxembourg / multinational - $TEN (-0,76%)
48. Halliburton - USA - $HAL (-2,37%)
49. amazon - USA - $AMZN (+5,09%)
50th Coupang - South Korea $CPNG (+1,18%)
51. JD.com - China - $JD (-0,52%)
52. BMW - Germany - $BMW (+0,12%)
53rd Mercedes-Benz - Germany - $MBG (-0,37%)
54th General Motors - USA - $GM (-1,78%)
55. BYD - China - $1211 (-0,04%)
56. Stellantis - NL / multinational - $STLAM (-1,49%)
57. Ford - USA - $F (-1,83%)
58. McDonald's - USA - $MCD (+0,39%)
59th Domino's - USA - $DPZ (-0,36%)
60. BGF Retail - South Korea - $282330
61. GS Retail - South Korea - $007070
62nd Lotte - South Korea - $004990
63. Yum China - China - $YUMC (-0,25%)
Source: Morgan Stanley Research Bluepaper Humanoids Investment Implications of Embodied AI and Stock3 drumbeat of Germany's humanoid robot manufacturers The Humanoid 66, 05.10.2025
"Morgan Stanley and Goldman Sachs expect the market to be worth between 38 billion and three trillion US dollars by 2035."
Wow. That's a really precise opinion. They must be some serious experts. Really now. Really. Honestly.
Megatrend robotics, freshly updated, added value guaranteed!
After my first post on humanoid robots received a lot of positive feedback, I went into more detail. I later added my favorites in each sector.
In-depth analysis of the value chain, including shovel manufacturers and potential hidden champions
New category: Secondary Key Sectors (Sales, Marketing, Financing)
Additionally: Top 25 companies worldwide, as well as the Top 10 in Europe and the Top 10 in Asia
To help newcomers get up to speed, I’ve included a video link. This will give you an idea of just how far the development of humanoid robotics has come today.
Thank you for your attention and support 🙏
🌐 1. Humanoid Robot Value Chain (with hidden champions)
1. Research & Chip Design
$ARM (+0,98%) ARM (UK) – CPU IP, energy-efficient processors
$SNPS (+1,18%) Synopsys (US) – EDA software, chip design
$CDNS (+1,64%) Cadence (US) – EDA & Simulation
$PTC PTC (US) – Engineering software, CAD/PLM
$DSY (+0,98%) Dassault Systèmes (FR) – 3D design & digital twin
$SIE (-0,88%) Siemens (DE) – Industrial software & lifecycle management
$ADBE (+0,93%) Adobe (US) – Design, AR/UX
ANSYS (US) – Multiphysics Simulation – Acquired by Synopsys
Altair (US) – CAE, Simulation, Digital Twin – Acquired by Siemens
$HXGBY (+0,27%)
Hexagon (SE) – Measurement Technology & Simulation
$AWE Alphawave IP Group (UK) – High-speed chip IP for AI/robotics
1. Synopsis, 2. Siemens, and 3. Adobe are my top three picks in this sector
2. Manufacturing Technology & Equipment
$ASML (+1,56%) ASML (NL) – Lithography (EUV)
$AMAT (+1,84%) Applied Materials (US) – Semiconductor Equipment
$8035 (+0,69%) Tokyo Electron (JP) – Wafer manufacturing
$KEYS (+2,04%) Keysight Technologies (US) – Measurement Technology
$6857 (+4,44%) Advantest (JP) – Chip Test Systems
$TER (+4,12%) Teradyne (US) – Test systems + cobots
$6954 (+0,95%) Fanuc (JP) – Industrial robots, CNC
$CAT (-0,4%) Caterpillar (US) – Autonomous Machinery
$KU2G KUKA (DE) – Industrial Robots
Comau (IT) – Automation – Not publicly traded
$ROK Rockwell Automation (US) – Industrial automation
$JBL (+2,08%) Jabil (US) – Contract Manufacturing (EMS/ODM)
$KIT (-1,92%) Kitron (NO) – European EMS/ODM manufacturer
$AIXA (+0,25%) Aixtron (DE) – Deposition systems for compound semiconductors
$LRCX (+3,33%)
Lam Research (US) – Etching/deposition systems
$MKSI (+0,85%)
MKS Instruments (US) – Plasma/vacuum technology
$ASM (+0,4%)
ASM International (NL) – Deposition systems
1. ASML, 2. Keysight Technologies, 3. Fanuc are my top 3 in this sector
3. Chip Manufacturing (Foundries)
$TSM (+1,77%) TSMC (TW) – leading foundry
$SMSN (+4,7%) Samsung Electronics (KR) – foundry + memory
$GFS (-1,37%) GlobalFoundries (US) – specialty chips
$INTC (+3,07%)
Intel Foundry Services (US) – new Western foundry player
$981
SMIC (CN) – Largest Chinese foundry
$UMC
UMC (TW) – Power, RF, and embedded chips
1. TSMC, 2. Intel, 3. Samsung Electronics are my top 3 in this sector
4. Computing & control unit (“brain”)
$NVDA (+1,67%) Nvidia (US) – GPUs, AI chips
$INTC (+3,07%) Intel (US) – CPUs, FPGAs
$AMD (+1,98%) AMD (US) – CPUs, GPUs
$MRVL (+4,19%) Marvell (US) – network chips
$MU (+3,25%) Micron (US) – Memory
$DELL (+1,05%) Dell Technologies (US) – Edge & Infrastructure
Graphcore (UK) – AI chips (IPU) – not a publicly traded company
Cerebras (US) – Wafer-Scale Engine – not a publicly traded company
SiPearl (FR) – European HPC chip – not a publicly traded company
1. Nvidia, 2. Marvell, 3. Micron are my top 3 in this sector
5. Sensors (“Senses”)
$6758 (+0,2%) Sony (JP) – Image sensors
$6861 (+0,79%) Keyence (JP) – industrial sensors
$STM (+0,25%) STMicroelectronics (FR/IT) – Sensors, MCUs
$TDY Teledyne (US) – optical/infrared sensors
$CGNX (+2,64%) Cognex (US) – Machine Vision
$HON (-0,13%) Honeywell (US) – Sensors, Security
ANYbotics (CH) – Autonomous sensor fusion – not a publicly traded company
$AMBA (+2,25%) Ambarella (US) – Video & computer vision SoCs for real-time image recognition
$OUST
Velodyne Lidar (US) – Lidar sensors – acquired by Ouster
$AMS (+7,96%)
OSRAM (AT/DE) – optical sensors
1. Teledyne, 2. Keyence, 3. Ouster are my top 3 in this sector
6. Actuators & Power Electronics (“Muscles”)
$IFX (+0,43%) Infineon (DE) – Power Electronics
$ON (+0,1%) onsemi (US) – Power & Sensors
$TXN (+0,06%) Texas Instruments (US) – mixed-signal chips
$ADI (-0,22%) Analog Devices (US) – Signal Processing
$PH Parker-Hannifin (US) – Hydraulics/Pneumatics
$MP (-1,96%) MP Materials (US) – Magnets
$APH (+0,98%) Amphenol (US) – Connectors
$6481 (-0,57%) THK (JP) – Linear guides & actuators
$6324 (+2,1%)
Harmonic Drive (JP) – Precision gearboxes & servo drives for robotics
$6594 (-1,62%)
Nidec (JP) – Electric motors
$6506 (+1,02%)
Yaskawa (JP) – Drives & Robotics
$SU (-1,65%)
Schneider Electric (FR) – Energy & Control Solutions
$ZIL2 (-2,7%)
ElringKlinger (DE) – Battery & Fuel Cell Technology, Lightweight Construction
1. Parker-Hannifin, 2. MP Materials, 3. Infineon are my top 3 in this sector
7. Communications & Networking (“Nerves”)
$QCOM (+0,68%) Qualcomm (US) – Mobile Communications, Edge AI
$ANET (+3,4%) Arista Networks (US) – Networks
$CSCO (+0,02%) Cisco (US) – Networks, Security
$EQIX (-0,47%) Equinix (US) – Data centers
NTT Docomo (JP) – 5G/6G carrier – not a publicly traded company
$VZ Verizon (US) – Telecommunications
$SFTBY SoftBank (JP) – Carrier + Robotics
$ERIC B (-1,82%)
Ericsson (SE) – 5G/IoT infrastructure
$NOKIA (+0,47%)
Nokia (FI) – 5G/6G for Industry
$HPE (+1,55%)
Juniper Networks (US) – Networking – Acquired by HP
1. Arista Networks, 2. SoftBank, 3. Cisco are my top 3 in this sector
8. Energy
$3750 (-0,57%) CATL (CN) – Batteries
$6752 (+3,09%) Panasonic (JP) – Batteries
$373220 LG Energy (KR) – Batteries
$ALB (-0,2%) Albemarle (US) – Lithium
$LYC (+3,24%) Lynas (AU) – Rare Earths
$UMICY (-4,87%) Umicore (BE) – Recycling
WiTricity (US) – Inductive charging – not a publicly traded company
$ABBN (-0,76%) Charging (CH) – Charging infrastructure
$SLDP
Solid Power (US) – Solid-state batteries
Northvolt (SE) – European batteries – not a publicly traded company
$PLUG
Plug Power (US) – Fuel cells
$KULR (+4,84%)
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 (+5,09%) Amazon AWS (US) – Cloud, AI
$MSFT (+1,28%) Microsoft Azure (US) – Cloud, AI
$GOOG (+1,16%) Alphabet Google Cloud (US) – Cloud, ML
$VRT (+0,14%)
Vertiv Holdings (US) – Data Center Infrastructure (UPS, Cooling, Edge)
$ORCL (+1,46%)
Oracle Cloud (US) – ERP + Cloud
$IBM (+2,56%)
IBM Cloud (US) – Hybrid Cloud + AI
$OVH (+0,17%)
OVHcloud (FR) – European Cloud
1. Alphabet, 2. Microsoft, 3. Oracle are my top 3 in this sector
10. Software & Data Platforms
$PLTR (+4,89%) Palantir (US) – Data Integration
$DDOG (+6,37%) Datadog (US) – Monitoring
$SNOW (+3,11%) Snowflake (US) – Data cloud
$ORCL (+1,46%) Oracle (US) – Databases, ERP
$SAP (+1,37%) SAP (Germany) – ERP systems
$SPGI (+0,49%) S&P Global (US) – Financial/Market Data
ROS2 Foundation – Robotics Middleware – Not publicly traded
$NVDA (+1,67%) NVIDIA Isaac (US) – Robotics development – part of NVIDIA
$INOD (+2,39%) Innodata (US) – Data annotation & AI training data
$PATH (+2,59%)
UiPath (RO/US) – Robotic Process Automation
$AI (+0,74%)
C3.ai (US) – AI platform
$ESTC (+4,67%)
(NL/US) – Search & Data Analytics
1. S&P Global, 2. Palantir, 3. Datadog are my top 3 in this sector
11. End-user applications / Robots
$ABBN (-0,76%) ABB (CH/SE) – Industrial robots
$6954 (+0,95%) Fanuc (JP) – Industrial Robots
$TSLA (+4,56%) Tesla Optimus (US) – humanoid robot
$9618 (-0,47%) JD.com (CN) – Logistics robots
$AAPL (+0,28%) Apple (US) – Platform & UX
$700 (-0,78%) Tencent (CN) – Platform & AI
$9988 (+0,04%) Alibaba (CN) – Logistics & Platform
PAL Robotics (ES) – humanoid robots - not a publicly traded company
Neura Robotics (DE) – cognitive humanoid robots - not a publicly traded company
$TER (+4,12%) Universal Robots (DK) – cobots - part of Teradyne Corporation
Engineered Arts (UK) – humanoid robots – not a publicly traded company
$ISRG (+1,84%) Intuitive Surgical (US) – surgical robotics
$GMED (-0,97%)
Globus Medical (US) – surgical robotics (ExcelsiusGPS platform)
$7012 (+1,62%) Kawasaki Heavy Industries (JP) – industrial robots, automation
$CPNG (+1,18%) Coupang (KR) – logistics end-users
$IRBT
iRobot (US) – consumer robotics (e.g., Roomba); not humanoid, but features navigation and sensor fusion
Boston Dynamics (US) – humanoid & mobile robots—not a publicly traded company
Hanson Robotics (HK) – humanoid robots (Sophia)—not a publicly traded company
Agility Robotics (US) – “Digit” humanoid robot—not a publicly traded company
1. Apple, 2. Tencent, 3. Alibaba are my top 3 in this sector
🛠 2. Cross-sector enablers (shovel manufacturers) – featuring hidden champions
Raw Materials & Battery Materials
Albemarle · Lynas · Umicore
$SQM
SQM (CL) – Lithium
$ILU (+0,34%)
Iluka Resources (AU) – Rare Earths
$ARR (+4,25%)
American Rare Earths (US/AU) – New supply chains
My top pick in the sector is Albemarle
Manufacturing Technology
ASML · Applied Materials · Tokyo Electron
$LRCX (+3,33%)
Lam Research (US) – Plasma/etching processes
$ASM (+0,4%)
ASM International (NL) – ALD equipment
$MKSI (+0,85%)
MKS Instruments (US) – Plasma/vacuum technology
My top pick in the sector is ASML
Quality Assurance
Keysight · Advantest · Teradyne
$EMR (+0,02%)
National Instruments (US) – Measurement technology – from Emerson Electric Acquired
$300567
ATE Test Systems (CN) – Test systems
$FORM (+6,18%)
FormFactor (US) – Wafer probing
My number one in the sector is Keysight
Motion & Drive
Parker-Hannifin
Festo (Germany) – Pneumatics, Soft Robotics - not a publicly traded company
Bosch Rexroth (DE) – Drives, Controls - not a publicly traded company
$6481 (-0,57%)
THK (JP) – Linear guides
My top choice in the sector is Parker-Hannifin
Sensors/Imaging
$TDY Teledyne
$BSL (+1,08%) Basler (DE) – Industrial cameras
FLIR (US) – Thermal imaging sensors – Acquired by Teledyne
ISRA Vision (DE) – Machine vision – not a publicly traded company
My top pick in the sector is Teledyne
Magnets & Materials
MP Materials
$6501 (+1,49%)
Hitachi Metals (JP) – Magnetic Materials
VacuumSchmelze (DE) – Magnetic materials – not a publicly traded company
$4063 (+0,26%)
Shin-Etsu Chemical (JP) – Specialty materials
My top pick in the sector is MP Materials
Chip Design & Simulation
Synopsys · Cadence · ARM
$SIE (-0,88%)
Siemens EDA (DE/US)– Mentor Graphics—a strategic business unit of Siemens AG
Imagination Tech (UK) – GPU IP – not a publicly traded company
$CEVA (+4,08%)
CEVA (IL) – Signal processor IP
My top pick in the sector is Synopsys
Engineering & Lifecycle
PTC · Dassault · Siemens
Altair (US) – Simulation – no longer a publicly traded company
$HXGBY (+0,27%)
Hexagon (SE) – Measurement Technology
$SNPS (+1,18%)
ANSYS (US) – Simulation – Acquired by Synopsys
My top pick in the sector is Siemens
Networks & Data Centers
Arista · Cisco · Equinix
$HPE (+1,55%)
Juniper (US) – Networks – Acquisition by HPE
$DTE (-1,16%)
T-Systems (DE) – Industrial Cloud
$OVH (+0,17%)
OVHcloud (FR) – European cloud
My top pick in the sector is Arista
Cloud Infrastructure
AWS · Azure · Google Cloud
$ORCL (+1,46%)
Oracle Cloud (US) – ERP & Databases
$IBM (+2,56%)
IBM Cloud (US) – Hybrid Cloud
$9988 (+0,04%)
Alibaba Cloud (CN) – Asian cloud
$VRT (+0,14%)
Vertiv Holdings (US) – Cloud/Infrastructure
My top pick in the sector is Alphabet (Google)
Financial/Information Infrastructure
S&P Global
$MCO (-0,23%)
Moody’s (US) – Ratings
$MSCI (-1,11%)
MSCI (US) – Indices
$MORN
Morningstar (US) – Investment Research
My top pick in the sector is S&P Global
Creative/Experience Infrastructure
Adobe
$ADSK (-0,19%)
Autodesk (US) – CAD & Design
$U (-0,57%)
Unity (US) – 3D/AR Simulation
Epic Games (US) – Unreal Engine – not a publicly traded company
My top pick in the sector is Adobe
Platform & Ecosystem
Apple · Tencent · Alibaba
$META (-0,84%)
Meta (US) – AR/VR, Social Robotics
ByteDance (CN) – AI & Platforms – not a publicly traded company
$9888 (-0,07%)
Baidu (CN) – AI & Cloud
My top pick in the sector is Tencent
Infrastructure/Edge
Dell
$HPE (+1,55%)
HPE (US) – Edge Computing
$SMCI (+1,99%)
Supermicro (US) – AI Servers
$6702 (-0,61%)
Fujitsu (JP) – Edge & HPC
My top pick in this sector is Dell
Storage Solutions
Micron
$HY9H (+4,73%)
SK Hynix (KR) – Memory
$285A (+7,7%)
Kioxia (JP) – NAND
$WDC (+5,48%)
Western Digital (US) – Storage solutions
My top pick in the sector is Micron
🏛 3. Secondary Key Sectors with Hidden Champions
Financing & Capital
$GS (-0,42%) Goldman Sachs (US) – Investment bank; ECM/DCM, M&A, growth financing
$MS Morgan Stanley (US) – Investment bank; tech banking, capital markets
$BLK (-0,32%) BlackRock (US) – Asset manager; capital allocation, ETFs/index funds
$9984 (+2,19%) SoftBank Vision Fund (JP) – Mega-VC; growth equity in robotics/AI
Sequoia Capital (US) – Venture capital; early-stage/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) – Government Industry/Technology Funds
Lux Capital (US) – VC for DeepTech - Uptake (US) – AI-based predictive maintenance
DCVC (US) – Focus on robotics and AI – Invests exclusively through VC fund investments
Speedinvest (AT) – EU VC for robotics – Investment is only available through fund participations
My number one in the sector is SoftBank
Maintenance & Service
$SIE (-0,88%) Siemens (DE) – Industrial Services, Lifecycle & Retrofit
$ABBN (-0,76%) ABB (CH/SE) – Robotics services, spare parts, field support
$GEHC (+0,3%) GE Healthcare (US) – Medtech services, including robotic systems
Uptake (US) – AI-based predictive maintenance – not a publicly traded company
Augury (US/IL) – Condition monitoring, condition diagnostics – not a publicly traded company
$KU2 KUKA Service (DE) – Robotics maintenance
$6954 (+0,95%) Fanuc Service (JP) – Global service network
Boston Dynamics AI Institute (US) – Robotics Longevity – funded by Hyundai Motor Group
My top pick in the sector is Siemens
Marketing & Advertising
$WPP (-1,44%) WPP (UK) – global advertising group; branding/communications
$OMC Omnicom (US) – marketing/PR network
$PUB (-0,71%) Publicis (FR) – communications/advertising group
$META (-0,84%) Meta (US) – digital ads (Facebook/Instagram)
$GOOG (+1,16%) Google Ads (US) – Search & Display Advertising
TikTok / ByteDance (CN) – Social Ads & Distribution - not a publicly traded company
$AAPL (+0,28%) Apple (US) – branding/UX; adoption & platform marketing
$WPP (-1,44%)
AKQA (UK/US) – Tech branding – Since 2012, majority-owned by the WPP Group, but continues to operate as autonomous operating unit
R/GA (US) – Innovation Marketing – not a publicly traded company
Serviceplan (DE) – Largest independent EU agency – not a publicly traded company
My number one in the sector is Meta
Law, Regulation & Ethics
ISO (CH) – international standards, robotics standards
TÜV (DE) – certification & safety testing
UL (US) – safety/conformity testing
EU AI Act (EU) – legal framework for AI & robotics
UNESCO AI Ethics (UN) – global ethical guidelines
Fraunhofer IPA (DE) – Robotics safety standards
ANSI (US) – Standards
IEC (CH) – Electrical Engineering Standards
Education & 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) – “Roboy” humanoid robot
🌍 Top 25 Companies in Humanoid Robotics
These companies are crucial to the development and production of humanoid robots, because without them, crucial parts of the chain would be missing:
Chips & computing power (the robots’ brains)
$NVDA (+1,67%) Nvidia (US) – AI GPUs & Isaac platform, the foundation for robotics AI
$2330 TSMC (TW) – the world’s leading foundry, produces AI chips
$ASML (+1,56%) ASML (NL) – EUV lithography, indispensable for chip manufacturing
$005930 Samsung Electronics (KR) – memory, logic, foundry
$HY9H (+4,73%) SK Hynix (KR) – DRAM & NAND memory for AI
$MU (+3,25%) Micron (US) – memory solutions for AI workloads
My top pick in the sector is ASML
Sensors & Perception (Robots’ Senses)
$SONY Sony (JP) – Image sensors, market leader
$6861 (+0,79%) Keyence (JP) – Industrial Sensors & Vision Systems
$CGNX (+2,64%) Cognex (US) – Machine vision, precise image processing
My top pick in this sector is Keyence
Actuators & Motion (Robot Muscles)
$IFX (+0,43%) Infineon (DE) – Power Electronics, Motor Control
$6594 (-1,62%) Nidec (JP) – Global market leader in electric motors
$PH Parker-Hannifin (US) – Hydraulics/Pneumatics, Motion Control
$6481 (-0,57%) THK (JP) – Linear guides & actuators
My top pick in this sector is Parker-Hannifin
Communications, Cloud & Infrastructure (Nerves & Data Flow)
$QCOM (+0,68%) Qualcomm (US) – Mobile & edge chips
$AMZN (+5,09%) Amazon AWS (US) – Cloud & AI infrastructure
$MSFT (+1,28%) Microsoft Azure (US) – Cloud, AI services
$CSCO (+0,02%) Cisco (US) – Networks & Security
$VRT (+0,14%) Vertiv Holdings (US) – Data Center Infrastructure
My top pick in this sector is Microsoft
End-User Applications & Platforms (Robots Themselves)
$TSLA (+4,56%) Tesla (US) – humanoid robots Optimus
$ABBN (-0,76%) ABB (CH/SE) – Robotics & Automation
$6954 (+0,95%) Fanuc (JP) – industrial robots & CNC systems
$7012 (+1,62%) Kawasaki Heavy Industries (JP) – industrial robots
PAL Robotics (ES) – humanoid robots (TALOS, ARI, TIAGo) – not a publicly traded company
Neura Robotics (DE) – cognitive humanoid robots – not a publicly traded company
Universal Robots (DK) – cobots
My top pick in the sector is Tesla
🇪🇺 Top 10 European Key Companies in Humanoid Robotics
$ASML (+1,56%)
ASML (NL)
Global market leader in EUV lithography – without ASML, there would be no modern chips for AI & robotics.
$IFX (+0,43%) Infineon (DE)
A leader in power electronics and motor control—crucial for the actuators of humanoid robots.
$STM (+0,25%)
STMicroelectronics (FR/IT)
Sensors, microcontrollers, and power chips—the foundation for control and perception.
$SAP (+1,37%)
SAP (DE)
ERP & data platforms, essential for integrating humanoid robots into industrial processes.
$SIE (-0,88%)
Siemens (DE)
Industrial software, automation, Digital Twin—key to engineering and lifecycle management.
$KU2 KUKA (DE)
Robotics pioneer, industrial robots & automation—expertise in humanoid motion mechanics.
PAL Robotics (ES) - not a publicly traded company
Specialist in humanoid robots (TALOS, ARI, TIAGo), used internationally in research and service.
Neura Robotics (DE) - not a publicly traded company
Young high-tech company developing cognitive humanoid robots with advanced AI (4NE-1).
Universal Robots (DK) - not a publicly traded company
Market leader in cobots—a platform for safe human-robot collaboration.
Engineered Arts (UK) - not a publicly traded company
Develops humanoid robots such as Ameca, known for realistic facial expressions and gestures—important for HRI (Human-Robot Interaction)
🌏 Top 10 Key Asian Companies in Humanoid Robotics
$2330
TSMC (Taiwan)
The world’s largest semiconductor foundry, producing high-end chips (e.g., Nvidia, AMD, Apple)—without TSMC, there would be no AI hardware.
$005930
Samsung Electronics (South Korea)
Foundry, memory, logic chips, image sensors—extremely broad portfolio of robotics components.
$HY9H (+4,73%)
SK Hynix (South Korea) – Memory
$SONY
Sony (Japan)
Market leader in CMOS image sensors, essential for robotic vision and perception.
$6861 (+0,79%)
Keyence (Japan)
Sensors and machine vision for industrial automation, widely used in robotics.
$6954 (+0,95%)
Fanuc (Japan)
Industrial robots and CNC systems; one of the world’s leading manufacturers of robotics hardware.
$6506 (+1,02%)
Yaskawa Electric (Japan)
Drives, motion control, and robotic arms—relevant for humanoid motion control.
$6594 (-1,62%)
Nidec (Japan)
Global market leader in electric motors (ranging from mini motors to high-performance drives).
$7012 (+1,62%)
Kawasaki Heavy Industries (JP) – Industrial robots
$9618 (-0,47%)
JD.com (China)
A driving force in robotics for e-commerce and logistics; invests in humanoid robotics applications
Build robots, earn shovels
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 (+0,98%)
ARM Holdings (ARM, UK/USA) - CPU architectures
$SNPS (+1,18%)
Synopsys (SNPS, USA) - Chip design software
$CDNS (+1,64%)
Cadence Design Systems (CDNS, USA) - EDA & Simulation
2. manufacturing technology & equipment
$ASML (+1,56%)
ASML (ASML, NL) - EUV lithography, key monopoly
$AMAT (+1,84%)
Applied Materials (AMAT, USA) - Process equipment
$8035 (+0,69%)
Tokyo Electron (8035.T, JP) - Wafer equipment
$KEYS (+2,04%)
Keysight Technologies (KEYS, USA) - Test & RF measurement technology
$6857 (+4,44%)
Advantest (6857.T, JP) - Semiconductor test systems
$TER (+4,12%)
Teradyne (TER, USA) - Test systems + robotics (Universal Robots)
3. chip production (Foundries)
$TSM (+1,77%)
TSMC (TSM, TW) - Largest contract manufacturer
$005930
Samsung Electronics (005930.KQ, KR) - Memory + Foundry
$GFS (-1,37%)
GlobalFoundries (GFS, USA) - Specialized production
4. computing & control unit ("brain")
$NVDA (+1,67%)
Nvidia (NVDA, USA) - GPUs, AI accelerators
$INTC (+3,07%)
Intel (INTC, USA) - CPUs, FPGAs
$AMD (+1,98%)
AMD (AMD, USA) - CPUs/GPUs
$MRVL (+4,19%)
Marvell Technology (MRVL, USA) - Network/data center chips
5. sensors ("senses")
$6758 (+0,2%)
Sony (6758.T, JP) - CMOS image sensors
$6861 (+0,79%)
Keyence (6861.T, JP) - Vision systems, sensors
$STM (+0,25%)
STMicroelectronics (STM, CH/FR) - MEMS sensors
6. actuators & power electronics ("muscles")
$IFX (+0,43%)
Infineon (IFX, DE) - Power semiconductors, SiC
$ON (+0,1%)
N Semiconductor (ON, USA) - SiC/Power Chips
$STM (+0,25%)
STMicroelectronics (STM, CH/FR) - Motor control & power
$TXN (+0,06%)
Texas Instruments (TXN, USA) - Motor control, power ICs
$ADI (-0,22%)
Analog Devices (ADI, USA) - Energy & BMS chips
7. communication & networking ("nerves")
$QCOM (+0,68%)
Qualcomm (QCOM, USA) - 5G/SoCs
$AVGO (+1,76%)
Broadcom (AVGO, USA) - Network & radio chips
$SWKS (+0,57%)
Skyworks Solutions (SWKS, USA) - RF components
8. energy supply
$300750
CATL (300750.SZ, CN) - Batteries
$6752 (+3,09%)
Panasonic (6752.T, JP) - Batteries for automotive/robotics
$373220
LG Energy Solution (373220.KQ, KR) - Batteries
9. cloud & infrastructure
$AMZN (+5,09%)
Amazon (AMZN, USA) - AWS
$MSFT (+1,28%)
Microsoft (MSFT, USA) - Azure
$GOOG (+1,16%)
Alphabet (GOOGL, USA) - Google Cloud
$EQIX (-0,47%)
Equinix (EQIX, USA) - Data center operator
$ANET (+3,4%)
Arista Networks (ANET, USA) - Network infrastructure
$CSCO (+0,02%)
Cisco Systems (CSCO, USA) - Edge & Data Center Networks
10. software & data platforms
$PLTR (+4,89%)
Palantir (PLTR, USA) - Data integration, decision software
$DDOG (+6,37%)
Datadog (DDOG, USA) - Cloud monitoring / observability
$SNOW (+3,11%)
Snowflake (SNOW, USA) - Cloud-native data platform
$ORCL (+1,46%)
Oracle (ORCL, USA) - Databases, ERP
$SAP (+1,37%)
SAP (SAP, DE) - ERP/cloud systems
$PATH (+2,59%)
UiPath (PATH, USA) - Automation software (RPA)
$AI (+0,74%)
C3.ai (AI, USA) - Enterprise AI platform
11. end applications / robots
$ABB
ABB (ABB, CH) - Industrial robots
$6954 (+0,95%)
Fanuc (6954.T, JP) - Industrial robots, CNC
$TSLA (+4,56%)
Tesla (TSLA, USA) - Optimus" humanoid robot
$9618 (-0,47%)
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 (+1,56%)
ASML (ASML, NL) - EUV lithography (monopoly).
$AMAT (+1,84%)
Applied Materials (AMAT, USA) - Wafer equipment.
$8035 (+0,69%)
Tokyo Electron (8035.T, JP) - Process equipment.
Test systems (hardware-side)
$6857 (+4,44%)
Advantest (6857.T, JP) - Semiconductor test.
$TER (+4,12%)
Teradyne (TER, USA) - Test systems + industrial robots.
Materials & raw materials
$ALB (-0,2%)
Albemarle (ALB, USA) - Lithium (batteries).
$LYC (+3,24%)
Lynas Rare Earths (LYC.AX, AUS) - Rare earths for magnets.
$UMICY (-4,87%)
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 (+1,18%)
Synopsys (SNPS, USA) - EDA software.
$CDNS (+1,64%)
Cadence Design Systems (CDNS, USA) - Chip design & simulation.
$ARM (+0,98%)
ARM Holdings (ARM, UK/USA) - CPU architectures (license model).
Test & Measurement (software/signal level)
$KEYS (+2,04%)
Keysight Technologies (KEYS, USA) - Electronics & RF test systems.
Network & data center backbone
$ANET (+3,4%)
Arista Networks (ANET, USA) - High-speed networks.
$CSCO (+0,02%)
Cisco Systems (CSCO, USA) - Data center/edge networks.
$EQIX (-0,47%)
Equinix (EQIX, USA) - Data centers (colocation).
Cloud infrastructure
$AMZN (+5,09%)
Amazon (AMZN, USA) - AWS (cloud, AI training).
$MSFT (+1,28%)
Microsoft (MSFT, USA) - Azure.
$GOOG (+1,16%)
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

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