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 (-0,47 %) ARM (UK) - CPU-IP, energy-efficient processors

$SNPS (-0,82 %) Synopsys (US) - EDA software, chip design

$CDNS (-1,14 %) Cadence (US) - EDA & Simulation

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

$DSY (-0,68 %) Dassault Systèmes (FR) - 3D Design & Digital Twin

$SIE (-0,18 %) Siemens (DE) - Industrial Software & Lifecycle Mgmt

$ADBE (-0,29 %) Adobe (US) - Design, AR/UX

ANSYS (US) - multiphysical simulation - acquisition by Synopsis

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

$HXGBY (-0,76 %)
Hexagon (SE) - Metrology & Simulation

$AWE (+2,89 %) 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 (-0,91 %) ASML (NL) - Lithography (EUV)

$AMAT (-0,99 %) Applied Materials (US) - Semiconductor equipment

$8035 (+0,31 %) Tokyo Electron (JP) - wafer fabrication

$KEYS (-0,3 %) Keysight Technologies (US) - Metrology

$6857 (-0,6 %) Advantest (JP) - Chip test systems

$TER (-1,42 %) Teradyne (US) - test systems + cobots

$6954 (-5,74 %) Fanuc (JP) - Industrial robots, CNC

$CAT (-0,1 %) 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 (-0,24 %) Jabil (US) - contract manufacturing (EMS/ODM)

$KIT (-1,98 %) Kitron (NO) - European EMS/ODM manufacturer

$AIXA (-0,03 %) Aixtron (DE) - deposition equipment for compound semiconductors

$LRCX (-0,64 %)
Lam Research (US) - Etch/deposition systems

$MKSI (-0,28 %)
MKS Instruments (US) - Plasma/vacuum technology

$ASM (-0,89 %)
ASM International (NL) - Deposition systems

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

3. chip manufacturing (foundries)

$TSM (-0,2 %) TSMC (TW) - leading foundry

$SMSN Samsung Electronics (KR) - foundry + memory

$GFS (-0,47 %) GlobalFoundries (US) - specialty chips

$INTC (-0,71 %)
Intel Foundry Services (US) - new western foundry player

$981
SMIC (CN) - largest Chinese foundry

$UMC (+0,75 %)
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 (-0,61 %) Nvidia (US) - GPUs, AI chips

$INTC (-0,71 %) Intel (US) - CPUs, FPGAs

$AMD (-1,67 %) AMD (US) - CPUs, GPUs

$MRVL (-1,49 %) Marvell (US) - Network Chips

$MU (-1,77 %) Micron (US) - Memory

$DELL (-1 %) 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 (-1,3 %) Sony (JP) - image sensors

$6861 (-0,89 %) Keyence (JP) - Industrial sensors

$STM (-1,78 %) STMicroelectronics (FR/IT) - Sensors, MCUs

$TDY Teledyne (US) - optical/infrared sensors

$CGNX (+2,78 %) Cognex (US) - Machine Vision

$HON (+0,02 %) Honeywell (US) - sensor technology, security

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

$AMBA (-0,14 %) Ambarella (US) - video & computer vision SoCs for real-time image recognition

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

$AMS (-0,99 %)
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 (-0,32 %) onsemi (US) - Power & Sensors

$TXN (-1,01 %) Texas Instruments (US) - Mixed-Signal Chips

$ADI (-0,86 %) Analog Devices (US) - Signal Processing

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

$MP (-1,88 %) MP Materials (US) - Magnets

$APH (-0,93 %) Amphenol (US) - Connectors

$6481 (-1,3 %) THK (JP) - Linear guides & actuators

$6324 (-5,81 %)
Harmonic Drive (JP) - Precision gears & servo drives for robotics

$6594 (-2,14 %)
Nidec (JP) - Electric motors

$6506 (-5,71 %)
Yaskawa (JP) - Drives & Robotics

$SU (-0,22 %)
Schneider Electric (FR) - Energy & control solutions

$ZIL2 (+0,42 %)
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 (-1,04 %) Qualcomm (US) - mobile communications, edge AI

$ANET (-1,55 %) Arista Networks (US) - Networks

$CSCO (-0,49 %) Cisco (US) - Networks, Security

$EQIX (+0,28 %) 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 (+1,21 %)
Ericsson (SE) - 5G/IoT infrastructure

$NOKIA (+0,15 %)
Nokia (FI) - 5G/6G for industry

$HPE (-1,33 %)
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 (-2,81 %) CATL (CN) - Batteries

$6752 (-4,06 %) Panasonic (JP) - Batteries

$373220 LG Energy (KR) - Batteries

$ALB (-1,01 %) Albemarle (US) - Lithium

$LYC (+0,4 %) Lynas (AU) - Rare earths

$UMICY (+3,18 %) Umicore (BE) - recycling

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

$ABBN (-0,46 %) 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 (-0,35 %)
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 (-0,24 %) Amazon AWS (US) - Cloud, AI

$MSFT (-0,34 %) Microsoft Azure (US) - Cloud, AI

$GOOG (-0,45 %) Alphabet Google Cloud (US) - Cloud, ML

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

$ORCL (-1,08 %)
Oracle Cloud (US) - ERP + Cloud

$IBM (-0,5 %)
IBM Cloud (US) - Hybrid cloud + AI

$OVH (-2,47 %)
OVHcloud (FR) - European cloud

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

10. software & data platforms

$PLTR (-2,45 %) Palantir (US) - Data integration

$DDOG (-1,06 %) Datadog (US) - Monitoring

$SNOW (-0,86 %) Snowflake (US) - Data Cloud

$ORCL (-1,08 %) Oracle (US) - Databases, ERP

$SAP (-0,1 %) SAP (DE) - ERP systems

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

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

$NVDA (-0,61 %) NVIDIA Isaac (US) - robotics development - part of Nvidia

$INOD (-1,12 %) Innodata (US) - data annotation & AI training data

$PATH (-0,23 %)
UiPath (RO/US) - Robotic process automation

$AI (-0,56 %)
C3.ai (US) - AI platform

$ESTC (-0,18 %)
(NL/US) - Search & data analysis

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

11. end applications / robots

$ABBN (-0,46 %) ABB (CH/SE) - Industrial Robots

$6954 (-5,74 %) Fanuc (JP) - Industrial robots

$TSLA (-0,61 %) Tesla Optimus (US) - humanoid robot

$9618 (-0,88 %) JD.com (CN) - logistics robot

$AAPL (-0,46 %) Apple (US) - Platform & UX

$700 (-0,81 %) Tencent (CN) - Platform & AI

$9988 (-1,58 %) Alibaba (CN) - logistics & platform

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

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

$TER (-1,42 %) Universal Robots (DK) - cobots - belongs to the Teradyne Corporation

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

$ISRG (-0,37 %) Intuitive Surgical (US) - surgical robotics

$GMED (-0,34 %)
Globus Medical (US) - surgical robotics (ExcelsiusGPS platform)

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

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

$IRBT (-16,04 %)
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 (-3,34 %)
Iluka Resources (AU) - Rare earths

$ARR (-5,63 %)
American Rare Earths (US/AU) - New supply chains

my number 1 in the sector is Albemarle

manufacturing technology

ASML - Applied Materials - Tokyo Electron

$LRCX (-0,64 %)
Lam Research (US) - Plasma/etching processes

$ASM (-0,89 %)
ASM International (NL) - ALD equipment

$MKSI (-0,28 %)
MKS Instruments (US) - Plasma/vacuum technology

my number 1 in the sector is ASML

Quality assurance

Keysight - Advantest - Teradyne

$EMR (+0,38 %)
National Instruments (US) - Measurement technology - from Emerson Electric adopted

$300567
ATE Test Systems (CN) - test systems

$FORM (+0 %)
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 (-1,3 %)
THK (JP) - Linear guides

my number 1 in the sector is Parker-Hannifin

Sensors/Imaging

$TDY Teledyne

$BSL (-1,15 %) 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 (-1,53 %)
Hitachi Metals (JP) - Magnetic materials

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

$4063 (-3,3 %)
Shin-Etsu Chemical (JP) - Specialty materials

my number 1 in the sector is MP Materials

Chip Design & Simulation

Synopsys - Cadence - ARM

$SIE (-0,18 %)
Siemens EDA (DE/US)-Mentor Graphics-strategic business unit of Siemens AG

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

$CEVA (-0,27 %)
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 (-0,76 %)
Hexagon (SE) - Metrology

$SNPS (-0,82 %)
ANSYS (US) - Simulation - takeover by Synopsys

my number 1 in the sector is Siemens

Networks & Data Centers

Arista - Cisco - Equinix

$HPE (-1,33 %)
Juniper (US) - Networks - Acquisition of HPE

$DTE (+0,49 %)
T-Systems (DE) - Industry cloud

$OVH (-2,47 %)
OVHcloud (FR) - European cloud

my number 1 in the sector is Arista

Cloud infrastructure

AWS - Azure - Google Cloud

$ORCL (-1,08 %)
Oracle Cloud (US) - ERP & databases

$IBM (-0,5 %)
IBM Cloud (US) - Hybrid Cloud

$9988 (-1,58 %)
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 (+1,12 %)
Moody's (US) - Ratings

$MSCI (-0,07 %)
MSCI (US) - Indices

$MORN
Morningstar (US) - Investment Research

my number 1 in the sector is S&P Global

Creative/Experience Infra

Adobe

$ADSK (-0,23 %)
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 (-1,32 %)
Meta (US) - AR/VR, Social Robotics

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

$9888 (+1,08 %)
Baidu (CN) - AI & Cloud

my number 1 in the sector is Tencent

Infrastructure/Edge

Dell

$HPE (-1,33 %)
HPE (US) - Edge Computing

$SMCI (-1,03 %)
Supermicro (US) - AI servers

$6702 (-0,82 %)
Fujitsu (JP) - Edge & HPC

my number 1 in the sector is Dell

storage solutions

Micron

$HY9H
SK Hynix (KR) - Memory

$285A (-5,69 %)
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 (-0,53 %) Goldman Sachs (US) - investment bank; ECM/DCM, M&A, growth financing

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

$BLK (-0,21 %) BlackRock (US) - asset manager; capital allocation, ETFs/index funds

$9984 (+1,66 %) 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 (-0,18 %) Siemens (DE) - Industrial Service, Lifecycle & Retrofit

$ABBN (-0,46 %) ABB (CH/SE) - Robotics Service, Spare Parts, Field Support

$GEHC (-1,02 %) 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 (-5,74 %) 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 (+0,26 %) WPP (UK) - global advertising group; branding/communications

$OMC Omnicom (US) - marketing/PR network

$PUB (-0,34 %) Publicis (FR) - communications/advertising group

$META (-1,32 %) Meta (US) - Digital Ads (Facebook/Instagram)

$GOOG (-0,45 %) Google Ads (US) - search & display advertising

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

$AAPL (-0,46 %) Apple (US) - Branding/UX; Acceptance & Platform Marketing

$WPP (+0,26 %)
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 (-0,61 %) Nvidia (US) - AI GPUs & Isaac platform, foundation for robotic AI

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

$ASML (-0,91 %) ASML (NL) - EUV lithography, indispensable for chip production

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

$HY9H SK Hynix (KR) - DRAM & NAND memory for AI

$MU (-1,77 %) 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 (-0,89 %) Keyence (JP) - Industrial sensors & vision systems

$CGNX (+2,78 %) 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 (-2,14 %) Nidec (JP) - World market leader for electric motors

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

$6481 (-1,3 %) THK (JP) - Linear guides & actuators

my number 1 in the sector is Parker-Hannifin

Communication, cloud & infrastructure (nerves & data flow)

$QCOM (-1,04 %) Qualcomm (US) - Mobile & Edge Chips

$AMZN (-0,24 %) Amazon AWS (US) - Cloud & AI infrastructure

$MSFT (-0,34 %) Microsoft Azure (US) - Cloud, AI services

$CSCO (-0,49 %) 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 (-0,61 %) Tesla (US) - humanoid robot Optimus

$ABBN (-0,46 %) ABB (CH/SE) - Robotics & Automation

$6954 (-5,74 %) Fanuc (JP) - industrial robots & CNC systems

$7012 (-2 %) 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 (-0,91 %)
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 (-1,78 %)
STMicroelectronics (FR/IT)

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

$SAP (-0,1 %)
SAP (DE)

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

$SIE (-0,18 %)
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.

$HY9H
SK Hynix (KR) - Memory

$SONY
Sony (Japan)

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

$6861 (-0,89 %)
Keyence (Japan)

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

$6954 (-5,74 %)
Fanuc (Japan)

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

$6506 (-5,71 %)
Yaskawa Electric (Japan)

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

$6594 (-2,14 %)
Nidec (Japan)

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

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

$9618 (-0,88 %)
JD.com (China)

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

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 (-0,47 %)
ARM Holdings (ARM, UK/USA) - CPU architectures

$SNPS (-0,82 %)
Synopsys (SNPS, USA) - Chip design software

$CDNS (-1,14 %)
Cadence Design Systems (CDNS, USA) - EDA & Simulation

2. manufacturing technology & equipment

$ASML (-0,91 %)
ASML (ASML, NL) - EUV lithography, key monopoly

$AMAT (-0,99 %)
Applied Materials (AMAT, USA) - Process equipment

$8035 (+0,31 %)
Tokyo Electron (8035.T, JP) - Wafer equipment

$KEYS (-0,3 %)
Keysight Technologies (KEYS, USA) - Test & RF measurement technology

$6857 (-0,6 %)
Advantest (6857.T, JP) - Semiconductor test systems

$TER (-1,42 %)
Teradyne (TER, USA) - Test systems + robotics (Universal Robots)

3. chip production (Foundries)

$TSM (-0,2 %)
TSMC (TSM, TW) - Largest contract manufacturer

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

$GFS (-0,47 %)
GlobalFoundries (GFS, USA) - Specialized production

4. computing & control unit ("brain")

$NVDA (-0,61 %)
Nvidia (NVDA, USA) - GPUs, AI accelerators

$INTC (-0,71 %)
Intel (INTC, USA) - CPUs, FPGAs

$AMD (-1,67 %)
AMD (AMD, USA) - CPUs/GPUs

$MRVL (-1,49 %)
Marvell Technology (MRVL, USA) - Network/data center chips

5. sensors ("senses")

$6758 (-1,3 %)
Sony (6758.T, JP) - CMOS image sensors

$6861 (-0,89 %)
Keyence (6861.T, JP) - Vision systems, sensors

$STM (-1,78 %)
STMicroelectronics (STM, CH/FR) - MEMS sensors

6. actuators & power electronics ("muscles")

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

$ON (-0,32 %)
N Semiconductor (ON, USA) - SiC/Power Chips

$STM (-1,78 %)
STMicroelectronics (STM, CH/FR) - Motor control & power

$TXN (-1,01 %)
Texas Instruments (TXN, USA) - Motor control, power ICs

$ADI (-0,86 %)
Analog Devices (ADI, USA) - Energy & BMS chips

7. communication & networking ("nerves")

$QCOM (-1,04 %)
Qualcomm (QCOM, USA) - 5G/SoCs

$AVGO (-1,04 %)
Broadcom (AVGO, USA) - Network & radio chips

$SWKS (-0,46 %)
Skyworks Solutions (SWKS, USA) - RF components

8. energy supply

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

$6752 (-4,06 %)
Panasonic (6752.T, JP) - Batteries for automotive/robotics

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

9. cloud & infrastructure

$AMZN (-0,24 %)
Amazon (AMZN, USA) - AWS

$MSFT (-0,34 %)
Microsoft (MSFT, USA) - Azure

$GOOG (-0,45 %)
Alphabet (GOOGL, USA) - Google Cloud

$EQIX (+0,28 %)
Equinix (EQIX, USA) - Data center operator

$ANET (-1,55 %)
Arista Networks (ANET, USA) - Network infrastructure

$CSCO (-0,49 %)
Cisco Systems (CSCO, USA) - Edge & Data Center Networks

10. software & data platforms

$PLTR (-2,45 %)
Palantir (PLTR, USA) - Data integration, decision software

$DDOG (-1,06 %)
Datadog (DDOG, USA) - Cloud monitoring / observability

$SNOW (-0,86 %)
Snowflake (SNOW, USA) - Cloud-native data platform

$ORCL (-1,08 %)
Oracle (ORCL, USA) - Databases, ERP

$SAP (-0,1 %)
SAP (SAP, DE) - ERP/cloud systems

$PATH (-0,23 %)
UiPath (PATH, USA) - Automation software (RPA)

$AI (-0,56 %)
C3.ai (AI, USA) - Enterprise AI platform

11. end applications / robots

$ABB
ABB (ABB, CH) - Industrial robots

$6954 (-5,74 %)
Fanuc (6954.T, JP) - Industrial robots, CNC

$TSLA (-0,61 %)
Tesla (TSLA, USA) - Optimus" humanoid robot

$9618 (-0,88 %)
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 (-0,91 %)
ASML (ASML, NL) - EUV lithography (monopoly).

$AMAT (-0,99 %)
Applied Materials (AMAT, USA) - Wafer equipment.

$8035 (+0,31 %)
Tokyo Electron (8035.T, JP) - Process equipment.

Test systems (hardware-side)

$6857 (-0,6 %)
Advantest (6857.T, JP) - Semiconductor test.

$TER (-1,42 %)
Teradyne (TER, USA) - Test systems + industrial robots.

Materials & raw materials

$ALB (-1,01 %)
Albemarle (ALB, USA) - Lithium (batteries).

$LYC (+0,4 %)
Lynas Rare Earths (LYC.AX, AUS) - Rare earths for magnets.

$UMICY (+3,18 %)
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 (-0,82 %)
Synopsys (SNPS, USA) - EDA software.

$CDNS (-1,14 %)
Cadence Design Systems (CDNS, USA) - Chip design & simulation.

$ARM (-0,47 %)
ARM Holdings (ARM, UK/USA) - CPU architectures (license model).

Test & Measurement (software/signal level)

$KEYS (-0,3 %)
Keysight Technologies (KEYS, USA) - Electronics & RF test systems.

Network & data center backbone

$ANET (-1,55 %)
Arista Networks (ANET, USA) - High-speed networks.

$CSCO (-0,49 %)
Cisco Systems (CSCO, USA) - Data center/edge networks.

$EQIX (+0,28 %)
Equinix (EQIX, USA) - Data centers (colocation).

Cloud infrastructure

$AMZN (-0,24 %)
Amazon (AMZN, USA) - AWS (cloud, AI training).

$MSFT (-0,34 %)
Microsoft (MSFT, USA) - Azure.

$GOOG (-0,45 %)
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

From sand to chip: how is a modern semiconductor made?

Reading time: approx. 10min

1) INTRODUCTION

Since 2023 at the latest and the rapid rise of Nvidia $NVDA (-0,61 %) semiconductors and "AI chips" in particular have been the talk of the town. Since then, investors have been chasing after almost every company that has something to do with the manufacture of chips, driving share prices to unimagined heights. However, hardly any investors really know how complex the value chain is within the production of modern chips.

In this article, I will give you an overview of the entire manufacturing process and the companies involved. Even if many of you have a vague idea that the production of modern chips is complex, you will certainly be surprised by how complex it really is in reality.

2) BASIC

The starting point for every chip are so-called wafers [1] - i.e. thin wafers, which usually consist of so-called high-purity monocrystalline silicon. In the field of power semiconductors, which primarily comprises chips for applications with higher currents and voltages, silicon carbide (SiC) or galium nitride (GaN) has recently also been used as the base material for the wafers.

In the so-called front end the actual core components of the chips - the so-called dies - are created and applied to the wafers. The dies are rectangular structures that contain the actual functionality of the later chip. The finished dies are then tested for their functionality and electrical properties. Each die that is found to be good is then integrated into the so-called backend where the individual dies are separated on the wafer. This is followed by the so-called packaging. The individual dies from the front end are then electrically contacted and integrated into a protective housing. In the end, this housing with the contacted die is what is usually called a chip chip.

Now that we have a rough overview of the overall process, let's take a closer look at the individual processes involved in producing the dies on the wafer. This is the area in which most highly complex machines are used and which is usually the most sensitive.

3) FROM SAND TO WAFER

Before wafers made of high-purity silicon can even be produced and the actual process for manufacturing dies can begin, the actual wafer must first be manufactured in almost perfect quality. To do this, quartz sand, which consists largely of silicon dioxide, is reduced with carbon at high temperatures. This produces so-called raw siliconwhich, with a purity of around 96%, is not yet anywhere near the quality required for the production of wafers.

In several chemical processes, which are carried out by Wacker Chemie
$WCH (+2,39 %) or Siltronic
$WAF (-0,48 %) are used to turn the "impure" silicon into so-called polycrystalline silicon with a purity of 99.9999999%. For every billion silicon atoms, there is then only one foreign atom in the silicon. However, this pure polycrystalline silicon is still not suitable for the production of wafers, as the crystal structure in the silicon is not uniform enough. In order to create the right crystal structure, the polycrystalline silicon is then melted again and a so-called ingotwhich is made from monocrystalline silicon is produced. A comparison between raw silicon and the ingot can be found in the following image [3]:

This ingot is then sawn into thin slices, which are then the final wafers for semiconductor production. The best-known wafer producers are Shin Etsu
$4063, (-3,3 %)
Siltronic or GlobalWafers
$6488.

4) FROM THE WAFER TO THE DIE

The wafers described in the previous section can now be used to produce dies. The overall process for producing dies basically consists of applying a large number of layers using various chemical, mechanical and physical processes. The overall process (depending on the product) takes approx. 80 different layers on the wafer, requiring almost 1000 different process steps and 3 months
non-stop production are required [4].

A macroscopic analogy is useful here, which I have also taken from [4]. You can compare the overall process for producing dies with baking a large multi-layer cake. This cake has 80 layers and the recipe for baking consists of 1000 steps. It takes 3 months to make the cake and if even one layer of the cake deviates from the recipe by more than 1%, the whole cake collapses and has to be thrown away.

In the first process steps, the wafer is covered with billions tiny little transistors are created on the wafer, which are then all individually electrically contacted in the following steps. The final steps consist of electrically connecting the transistors to each other, resulting in a complete electrical circuit [4]:

Each individual layer of the approximately 80 layers in the die requires highly specialized processes, which can be roughly summarized as:

• Applying masks: Photolithography, photoresist coating (applying photoresist)
• Apply material: Chemical Vapor Deposition (CVD), Physical Vapor Deposition (PVD), Atomic Layer Deposition
• Remove material: Plasma annealing, Wet annealing, Chemical Mechanical Planarization (CMP)
• Modify material: Ion Implanting, Annealing
• Material cleaning
• Inspecting the layers: Optical, Microscopical, Focused Ion Beam, Defect Inspection

Apply masks

Ultimately, a mask can be thought of as an enlarged copy of the structure of a special layer in the die. These so-called photomasks are then scanned using so-called scanners or steppers "copied" in reduced size onto the wafer. The best-known manufacturer of such lithography systems is ASML
$ASML (-0,91 %). It is currently the only producer of lithography systems that make it possible to produce structures smaller than 10 nanometers on the wafer. In today's powerful and modern chips, such as those found in smartphones, AI chips and processors, the smallest structures are around 3 nanometers in size. Other manufacturers of lithography systems for larger structures (10nm and larger) are Canon Electronics
$7739 or Nikon $7731 (-2,04 %) .

The photomasks - i.e. the enlarged "copies" of the structures - are produced by companies such as Toppan $7911 (-2,23 %) , Dai Nippon Printing
$7912 (+0,67 %) or Hoya $7741 (+0,15 %) manufactured. Systems for cleaning the photomasks or for applying the photoresist are produced, for example, by Suss Microtec
$SMHN (-0,11 %) for example.

Apply/remove/modify/clean material

As can be seen in the overview above, there are a variety of methods and processes for modifying the material of a particular layer. As a result, there is a lot of different equipment that can handle a process very well with incredible specialization. The best-known and most successful equipment manufacturers include Applied Materials $AMAT (-0,99 %), LAM Research
$LRCX (-0,64 %), Tokyo Electron (TEL)
$8035, (+0,31 %)
Suss Mictrotec, Entegris
$ENTG (-0,5 %) and Axcelis $ACLS (-1,55 %).

The material - for example, highly specialized chemicals - is of course also required for production. Companies such as Linde
$LIN (-0,17 %), Air Liquide
$AI (-0,09 %), Air Products
$APD (-0,34 %) and Nippon Sanso
$4091 (-0,65 %) are major manufacturers of process gases such as nitrogen, hydrogen and argon.

Inspect

As mentioned, every single layer in the manufacturing process of a die must be perfect in order to obtain a functional die at the end. Any small deviation or foreign particles can impair the functionality of the die. As the function of the die can only be checked precisely on the finished die, it is advantageous to inspect the individual layers for defects and deviations during production. Special machines are required for this, which must be able to do different things depending on the layer. Manufacturers of such machines include KLA
$KLAC (-1,4 %) or Onto Innovation
$ONTO (-0,38 %).

The following applies to almost all of the companies mentioned in this section: the companies are highly specialized and have quasi-monopolies on the machines for certain process steps. quasi-monopolies. Suitable equipment therefore usually costs several million dollars. In addition, some of the systems are so complex that they can only be serviced by the manufacturer's own service staff, which results in recurring service revenues for every machine sold. As a rule, each machine requires several highly specialized engineers to ensure long-term stable operation.

5) FROM THE DIE TO THE FINISHED CHIP

Once the wafer has been processed, the dies on the wafer are checked for functionality. There is highly specialized equipment for this, so-called probers. These probers test each individual chip several times, if necessary, to check the functionality implemented in the design. Manufacturers of such probers include Teradyne $TER (-1,42 %), Keysight Technologies
$KEYS (-0,3 %), Onto Innovation or Tokyo Electron. These probers have to control each individual die, some of which are only a few square millimetres in size, and contact the corresponding much smaller test structures with tiny needles. The testing process is sometimes outsourced to entire companies that offer die testing as a complete package. One example of such providers is Amkor Technology
$AMKR (-1,17 %).

The processed and tested wafer is now sawn to obtain individual dies. The dies that are found to be good are then integrated into a protective housing in the backend. The dies that have not passed the functionality test are either sorted out or (depending on the error pattern) processed as a variant with reduced functionality similar to those with full functionality. After a final functional test in the package, the chip is ready for use.

6) FOUNDRIES, FABLESS & SOFTWARE

Now that we have an overview of the complex process of manufacturing a chip, let's zoom out a little further to understand which companies perform which tasks in the semiconductor industry.

It's funny that not once in the manufacturing process has the name Nvidia $NVDA (-0,61 %) or Apple $AAPL (-0,46 %) has been mentioned? Yet they have the most advanced chips, don't they?

The pure production of the chips is done by other companies - so-called foundries. Companies like Nvidia and even AMD $AMD (-1,67 %) are in fact fablessThis means that they do not have their own production facilities but only supply the chip design and let the foundries manufacture the actual chip according to their design.

The design of a chip is like the blueprint for production - the foundries then take over the recipe creation and the actual production. There is special software for designing chips. Companies known for this software include Cadance Design
$CDNS (-1,14 %) and Synopsys $SNPS (-0,82 %). But also the industrial giant Siemens
$SIE (-0,18 %) now also supplies software for designing integrated circuits. Synopsys also offers other software for data analysis within foundry production.

Speaking of foundries; the best known foundry is probably TSMC
$TSM, (-0,2 %) which is the global market leader in foundries. TSMC designs itself no chips itself and specializes exclusively in the production of the most advanced generations of chips. Another major player that also masters the most advanced structure sizes is Samsung $005930. In contrast to TSMC manufactures Samsung also produces its own designs. Other large foundries are Global Foundries
$GFS, (-0,47 %) which was originally a spin-off from AMD and the Taiwanese company United Micro Electronics
$UMC. (+0,75 %)

The best-known fabless companies - i.e. companies without their own chip production - are Nvidia, Apple, AMD, ARM Holdings
$ARM, (-0,47 %)
Broadcom $AVGO (-1,04 %), MediaTek $2454 and Qualcomm $QCOM. (-1,04 %) In the meantime Alphabet $GOOGL, (-0,45 %)
Microsoft $MSFT, (-0,34 %)
Amazon $AMZN (-0,24 %) and Meta $META (-1,32 %) have designed their own chips for certain functionalities and then have them manufactured in foundries.

In addition to foundries and fabless companies, there are of course also hybrid models, i.e. companies that take on both production and design. The best-known examples of this are, of course, companies such as Intel
$INTC (-0,71 %) and Samsung. There is also a whole range of so-called Integrated Device Manufacturer (IDM)which for the most part only manufacture their own designed chips and do not accept customer orders for production. Well-known companies such as Texas Instruments
$TXN, (-1,01 %)
SK Hynix
$000660,
STMicroelectronics
$STMPA, (-1,94 %)
NXP Semiconductors
$NXPI, (-0,51 %)
Infineon $IFX (-0,36 %) and Renesas $6723 (-4,19 %) are among the IDMs.

FINAL WORD

The aim of this article was to provide an overview of the complexity of the semiconductor industry. I do not, of course no claim to be complete, as there are of course many other companies that are part of this value chain. As Getquin thrives on active exchange, I'll give you some food for thought to discuss in the comments below the article:

• feel free to link any other companies in the comments if you think I've forgotten any relevant ones
• what was the most surprising new information for you from the article?
• which companies from the article have you never heard of?
• before reading the article, did you know approximately how a modern chip is produced and what steps are necessary for this?

In general, I can recommend the 20-minute YouTube video at [4] to any interested reader. It provides an excellent animated overview of the manufacturing process of modern chips.

Stay tuned,

Yours Nico Uhlig (aka RealMichaelScott)

SOURCES:

[1] Wikipedia: https://de.wikipedia.org/wiki/Wafer

[2] https://www.halbleiter.org/waferherstellung/einkristall/

[3] https://solarmuseum.org/wp-content/uploads/2019/05/solarmuseum_org-07917.jpg

[4] Branch Education on YouTube: "How are Microchips Made?" https://youtu.be/dX9CGRZwD-w?si=xeV0TYgJ2iwNOKyO

Semiconductor shares since their 52-week highs

-61% Intel $INTC (-0,71 %)

-54% Aixtron $AIXA (-0,03 %)

-45% STMicroelectronics $STMPA (-1,94 %)

-44% Micron Technology $MU (-1,77 %)

-37% Globalfoundries $GFS (-0,47 %)

-36% BE Semiconductor $OXVE

-33% Lam Research $LRCX

-29% AMD $AMD (-1,67 %)

-29% Qualcomm $QCOM (-1,04 %)

-28% ON Semiconductor $ON (-0,32 %)

-27% ASML $ASML (-0,91 %)

-26% Applied Materials $AMAT (-0,99 %)

-26% Elmos Semiconductor $ELG (+0,11 %)

-24% Microchip Techn. $MCHP (-1,55 %)

-23% ARM $ARM (-0,47 %)

-23% Synopsys $SNPS (-0,82 %)

-23% Infineon $IFX (-0,36 %)

-22% NXP Semiconductors $NXPI (-0,51 %)

-20% Cadence Design $CDNS (-1,14 %)

-17% Nvidia $NVDA (-0,61 %)

-17% VanEck Semicon. ETF $IE00BMC38736 (-0,62 %)

-17% Nordic Semi $NRS

-17% KLA Corporation $KLAC (-1,4 %)

-13% Marvell Technology $MRVL (-1,49 %)

-12% TSMC $2330

-11% Broadcom $AVGO (-1,04 %)

-7% Texas Instruments $TXN (-1,01 %)

-6% Monolithic Power Syst. $MPWR (-0,48 %)

>> Which stocks are you invested in and how are they performing? Which of these stocks do you have on your watchlist? #semiconductor
#halbleiter

📣 All these stocks hit new 52 WEEK LOWS at some point today

📣 All these stocks hit new 52 WEEK LOWS at some point today

Boeing $BA (-0,25 %)

Chevron $CVX (-0,1 %)

Occidental $OXY (-0,63 %)

$ETSY (-1,29 %)

Mobileye $MBLY

$APA (-1,17 %)

Bath & Body Works $BBWI (-0,24 %)

Franklin Resources $BEN (-0,62 %)

Cleveland Cliffs $CLF (-0,52 %)

Conoco $COP (-0,21 %)

Coterra $CTRA (-0,82 %)

Devon Energy $DVN (-0,64 %)

Estee Lauder $EL (+0,7 %)

Equinor $EQNR (-1,19 %)

GlobalFoundries $GFS (-0,47 %)

Halliburton $HAL (-0,82 %)

Hess $HES

Nucor $NUE (-0,05 %)

Mosaic $MOS

Schlumberger $SLB (-0,38 %)

Stellantis $STLAM (+1,38 %)

Top Golf $MODG (-0,19 %)

Dave & Bysters $PLAY

The rise of $NVDA (-0,61 %) and other tech stocks, more and more investors have been drawn into the semiconductor industry in recent months and years. However, due to the enormous size and complexity of the industry, it is not easy to keep track of who is contributing to the global market now and how, and which stocks could outperform the market in the future.

1) What is the semiconductor industry doing?

The semiconductor industry basically manufactures microchips as an end product, which consist of millions and millions of tiny switches. These products have become an integral part of our lives and can be found everywhere. Examples include the data centers of $GOOGL (-0,45 %) smartphones from $AAPL (-0,46 %) , drives and inverters from $TSLA (-0,61 %) or $SIE (-0,18 %) or in the systems of $UKW (+0,44 %) . But also toothbrushes, ATM cards, passports, watches, lamps, and and and...

2) But the best microchips are made by $NVDA (-0,61 %) ?

Yes, in the area of graphics processors... If you look at the Semicondutor Top100, many well-known names appear: $AVGO (-1,04 %) and $QCOM (-1,04 %) for communication, $AMD (-1,67 %) and $INTC (-0,71 %) for processors for PCs, $TXN (-1,01 %) and $STM for discrete components, $IFX (-0,36 %) and $NXPI (-0,51 %) systems for the automotive industry and security solutions and many more...

3) Aren't the manufacturers taking market share away from each other?

No, because each company specializes in its own field and is the world market leader in one area. You can think of it like the automobile industry: Lamborghini makes sports cars, Landrover makes jeeps... Could Landrover make sports cars? Sure. Would they be good? If enough money and time is invested, certainly. Would that make sense? Probably less. And that is precisely where the value of semiconductor manufacturers lies. As the products themselves are highly complex, the know-how has to be built up over decades. The development is associated with extremely high costs and project durations from idea to mass production are rarely less than 3-4 years. That is why it would not make sense for e.g. $NVDA (-0,61 %) would not make sense to enter the power sector, as established players with a head start of many years have already established themselves there.

4) How are microchips built now?

Many steps are required to manufacture microchips. The engineers at the semiconductor manufacturers develop the circuits for the final products. As the structure sizes are in the nano-meter range, they have to rely on simulation environments such as $CDNS (-1,14 %) or $SNPS (-0,82 %) simulation environments. Once the engineers have developed and checked everything (a non-existent first-time-right costs many millions!), the data is sent to the fabs. Depending on the manufacturer, the in-house ($005930 , $STM , $IFX (-0,36 %) ) or, as in the case of e.g. $NVDA (-0,61 %) external. In other words, Nvidia itself only develops the "schematics" for projects, the final product comes, for example, from $TSM (-0,2 %) or $GFS (-0,47 %) . These fabs take orders from many different manufacturers and produce the products in close coordination with the manufacturers millions and billions of times...

5) How do the fabs produce the microchips?

As complex as the microchips are, the production itself is just as complex. In order to be able to create structures of just a few nanometers, clean rooms are required that are many times cleaner than operating theatres. These cleanrooms are now home to machines from $ASML (-0,91 %) , $AMAT (-0,99 %) or $7751 (-0,23 %) . These machines now manufacture 24h on the basis of various semiconductor materials such as from $ATS (-1,24 %) or $WOLF the finished products. These are sent back to the manufacturers, checked (in a first phase manually by the engineers with products from e.g: $KEYS (-0,3 %) , later fully automatically with e.g. $TEK ) and then sold. Here again there are intermediaries such as $SMCI,
$SIE (-0,18 %) or $AAPL (-0,46 %) who buy finished microchips and process them for larger products. Interesting here: Apple, for example, develops many things itself, but buys know-how and products from other companies because the entire development would be far too complex. In other words, semiconductors from many different manufacturers can be found in Apple products or other products - so there is also a great deal of interdependence, depending on the core competence.

6) What will be NVIDIA's No. 1 pursuer?

Hard to say. As described, the entire semiconductor industry is very closely linked. Different companies will benefit from the global trends. Be it the companies in the first row (manufacturers) as well as those in the second and third (fabs, suppliers, software, end customers,...) The interdependence results in enormous opportunities for many companies but also many risks - for example, if Taiwan is attacked $NVDA (-0,61 %) with production of $TSM (-0,2 %) (not just Nvidia but virtually the entire industry) and the market shifts completely.

Addons:

• No guarantee of completeness or correctness, the entire industry is very extensive.
• If you are interested in this sector: A very good explanation of the entire process can be found at https://www.youtube.com/watch?v=_Kj58yQ67KI . Here it also becomes clear once again how large the sales figures (and thus also the risks of the companies) must be for the R&D and production costs to pay off. Remember the project durations here - who knows what will be important in 5 years?

𝗠𝗮𝗿𝗸𝗲𝘁 𝗡𝗲𝘄𝘀 🗞️

𝗚𝗲𝘁𝗾𝘂𝗶𝗻 𝟮.𝟬 𝗶𝘀 𝗼𝘂𝘁 / 𝗗𝗮𝘅 𝗶𝗺 𝗢𝗺𝗶𝗸𝗿𝗼𝗻-𝗦𝗼𝗴 / 𝗕𝗶𝗼𝗡𝗧𝗲𝗰𝗵 𝗹𝗶𝗲𝗳𝗲𝗿𝘁

𝗘𝘅-𝗗𝗮𝘁𝗲𝘀 📅

As of today, among others, The Coca-Cola Company ($KO (+0,19 %)), Ball Corporation ($BLL (-0,27 %)), eBay ($EBAY (-0,67 %)), Lockheed Martin ($LMT (-1,06 %)), Manulife Financial ($MFC (-0,16 %)), McDonald's ($MCD (-0,11 %)), McKesson ($MCK (-0,06 %)), Old Dominion Freight Line ($ODFL (-0,06 %)), Realty Income Corporation ($O (-0,04 %)), Schlumberger ($SLB (-0,38 %)) and Stanley Black & Decker ($SWK (-0,19 %)) traded ex-dividend.

𝗤𝘂𝗮𝗿𝘁𝗮𝗹𝘀𝘇𝗮𝗵𝗹𝗲𝗻 📈

Today, among others, Scotiabank ($BNS (-0,19 %)), Globalfoundries ($GFS (-0,47 %)), Salesforce.com ($CRM (-0,29 %)) and Zscaler ($ZS (-1,09 %)) presented their figures.

𝗠𝗮𝗿𝗸𝗲𝘁𝘀 🏛️

Dax ($GDAXI) - The Dax is again in the wake of Omikron and the 15,000 mark is in sight. There is no recovery in sight for the German stock market as the Omikron mutation continues to unsettle investors. Asian markets had already reacted to the warning from Moderna ($MRNA (-1,2 %)) chief, Stephane Bancel, and drove the stock markets into the red. According to Bancel, current vaccines are less effective against the new COVID-19 mutation.

BioNTech ($BNTX (-0,37 %)) - Mainz-based vaccine manufacturer BioNTech is bringing forward a shipment of 2.9 million vaccine doses to Germany in response to strong demand for vaccines. This means that a total of 5.8 million vaccine doses will be delivered to the federal government. With this delivery, BioNTech is responding to the skyrocketing demand for booster vaccines. In Germany, more than 20 million booster vaccinations are targeted by the end of the year. The share price of the pharmaceutical company rose in the meantime to 323.95 euros.

𝗚𝗲𝘁𝗾𝘂𝗶𝗻 𝟮.𝟬 🚀

Today at 1pm, our new version of the getquin 2.0 app was released.

Due to a completely new native programming, the app now runs faster and smoother. This leads to a lightning fast and error free usage. Also, the long-awaited darkmode is now available, making it much more pleasant to use at night.

Take off your sunglasses and dive into the wonderful world of getquin 2.0.

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