Digital Twins: Strategic Intelligence

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Published: June 02, 2025 Report Code: GDTMT-TR-S622-TH

Report Overview
Key Players
Table of Contents

Digital twins are digital representations of physical assets, systems, people, or processes. They help detect, prevent, predict, and optimize the physical environment using artificial intelligence (AI), analytics, visualization, and simulation tools. Conceptually, digital twins have been around for decades; a forerunner was used in NASA’s Apollo 13 mission to the moon in 1970. While far from ubiquitous today, adoption is increasing across industries; however, challenges related to security and interoperability still need to be addressed.

Scope

This report provides an overview of the digital twins theme.

It identifies the key trends impacting growth of the theme over the next 12 to 24 months, split into three categories: technology trends, macroeconomic trends, and regulatory trends.

It includes a comprehensive industry analysis, including use cases for digital twins across various industries, including manufacturing, power, oil and gas, healthcare, construction, automotive, aerospace and defense, government, and sports.

The detailed value chain comprises six layers: a physical layer, a connectivity layer, a data layer, a platform layer, a delivery layer, and a services layer.

Key Highlights

GlobalData forecasts that the global digital twins market will reach $154.3 billion by 2030, driven by advances in underlying technologies such as the Internet of Things (IoT), cloud, AI, and data analytics. The number of use cases for digital twins is increasing and includes remote asset monitoring, 3D design, and modeling the effects of drugs on human patients.

Interoperability remains a key concern for digital twins. For the widespread adoption of digital twins, it is essential to ensure they can communicate effectively with one another. This requires standardizing data formats, communication protocols, and interfaces for seamless integration across different platforms, software, and hardware. Efforts are underway to address these challenges; however, achieving full interoperability requires collaboration among industry stakeholders, technology providers, and standardization bodies.

Reasons to Buy

The list of potential use cases for digital twins is extensive. They range from design and architecture to engineering, smart cities, aerospace and defense, power, oil and gas, and, probably the most advanced, a digital twin of the human body. This report tells you everything you need to know about digital twins, including identifying the current leaders in some of the most important segments of the digital twins value chain.

AAC Technologies
Ab Initio
ABB
AccelData
Accenture
Adeptia
Adetiq
Adimec
Adobe
Advantech
Aeralis
Aerogility
AEye
AIMMS
Airbyte
Aitia
Aize
Akamai
Akselos
Alation
Alibaba
Alphabet
Alps Electric
Alteryx
Altibase
Amazon
Ambarella
AMD
AMS
Amundsen
Analog Devices
Ansys
Anthropic
Anyscale
Apache Foundation
Apexon
Apple
Applied Intuition
aPriori
Aptiv
Arctic Wind
Arm
Arup
Astronomer
Ataccama
AtkinsRéalis
Atlan
Atos
Autodesk
Avanade
Aveva
Aviatrix
AxoMem
Azvi
BAE Systems
Baidu
Basler
Bentley Systems
Bigeye
BIM6D
Black & Veatch
BMC Software
BMW
Boeing
Boomi
BP
Broadcom
Cadent Gas
Cadmatic
Canon
Capgemini
Carrier
Cato Networks
CData Software
Celestica
Celigo
Cenit
Cesium
CGI
Check Point Software
Chevron
Chicony
Cisco
ClickHouse
Cloud Software Group
Cloudera
CMCL
Codelco
Cognex
Cohesity
Colibra
Comcast
Commsignia
Competitive Power Ventures (CPV)
Computer Modelling Group (CMG)
Confluent
Continental
Cosmo Tech
CoStar Group (Matterport)
Couchbase
CropOM
CrowdStrike
CyberTwin
Cyclr
Dahua
Damco Group
Darktrace
Dask
Dassault Systèmes
Dassault Systèmes (NuoDB)
data.world
Databricks
DataCaptive
Datagram
DataHub
Dataiku
DataStax
Dbt Labs
Decimetrix
Dell Technologies
Deloitte
Delphix
Delta Lake
Denodo
Denodo Technologies
Denso
Disney
DJI
Domo
Doris Group
Dremio
dspace
Duality Robotics
Eagle.io
Eastern Jin Tech
EasyJet
EasyPower
Elementl
e-Magic
Emerson Electric
EnterpriseDB
Epic Games
Equinor
Ericsson
Esaote
Esri
Exasol
Experian
Exxon Mobil
EY
Finisar
Fivetran
Flexpoint
Flink
Forcepoint
Ford
Fortinet
Fortra
Foxconn
Fujifilm
Fujitsu
Garmin
GE Aerospace
GE Healthcare
GE Vernova
Global Laser
Goertek
GoPro
Great Expectations
Halliburton
HCLTech
Heineken
Hexagon
Hightouch
Hikvision
Hitachi
Hitachi Vantara
Hive
Holitech Technology
HollySys
Hologic
Honeywell
HPE
HTC
Huawei
Huawei (HiSilicon)
Humanising Autonomy
Hyundai
IBM
iFlytek
iGenius
Immuta
Impact Confections
Imply
Indie Semiconductors
Infineon
Informatica
Innoviz
Insource
Inspur
Intel
Intenda
InterSystems
Invista
Italferr
Iventis
JFrog
Jitterbit
John Holland
Juniper Networks
Kanematsu
KBR
Keboola
Keppel
Keyence
Knowles
Kongsberg Digital
Konica Minolta
Kraft Group
Largan Precision
Lendlease
Lenovo
LG Electronics
LG Innotek
LG Uplus
Libelium
Link Labs
Lite-On
Lockheed Martin
Lumentum
Luminar Technologies
Magna
Make
Manfevias
MariaDB
Materialize
Matillion
MediaTek
Meta
Microchip
Microsoft
Microvision
Mitsubishi Electric
MobileEye
Mobvoi
MongoDB
Monte Carlo
Mosimtec
Mott MacDonald
Murata
NavVis
NEC
NetApp
Neural concept
Nikon
Nippon Ceramic
Nokia
North Star
Northrop Grumman
NTT Data
Nutanix
Nvidia
NXP
Object Management Group (OMG)
OEM Automatic
Okta
Ola Electric
Omron
OnePlan
OpteamX
Oracle
Ordr
Orion
Outsight
Ovaledge
Oxa
Pace CCS
Palantir
Palo Alto Networks
Panasonic
Pandas
Panoply
PayPal
Percona
Petrobas
Philips
Pluto7
PostgreSQL
Precisely
Prefect
Presight AI
Principle Power
Privacera
Procter & Gamble
Profisee
Progress Software
PTC
Pulsar
Pure Storage
PyTorch
Qlik
Qorvo
Q-Tech
Qualcomm
Quanergy
Qubole
Redis Labs
Reliance Industries
Renesas
Ricoh
Robert Bosch
Rockset
Rockwell Automation
Rohm
Rolls-Royce
Salesforce
Samsung Electro-Mechanics
Samsung Electronics
SAP
SAS
Saviant Consulting
Scale AI
Scality
Schneider Electric
ScienceSoft
Securonix
Seiko Epson
Sensata
SenseTime
Shell
Shimadzu
Siemens
SiLC
Sim&Cure
SingleStore
Skoda
Skyworks
Slingshot Simulations
SnapLogici
Snowflake
Software AG
Sonos
Sony
Sophos
Sphere Energy
Starburst
Stemmer Imaging
Stibo Systems
STMicroelectronics
Stone Bond Technologies
Stratio
StreamSets
Stripe
Sunny Optical
Supermetrics
Symphony
Synopsys
Tabular
Tata Steel
TCS
TDK
TE Connectivity
Team D3
Techtree Innovation
Teledyne
Tencent
Teradata
Tesla
Tessian
Texas Instruments
Thales Group
TMC
TNA Solutions
Toshiba
Trace Neuroscience
Transwarp
Tray.io
Trellix
Trend Micro
Tsinghua Unigroup
Tung Thih
TuSimple
TWI
United Technologies
Unlearn AI
Upsolver
Valeo
Velodyne
Veoneer
Veritas
Verizon
Vertiv
Visionaize
Visteon
Vodafone
Volkswagen
Volt Active Data
Voyant Photonics
Vuzix
West Midlands Growth Company
Willow
Winniio
Winnio
Wipro
Workato
Xenonstack
Xiaomi
XMPro
Yara International
ZF
ZTE

Executive Summary

Players

Technology Briefing

Trends

Industry Analysis

Value Chain

Companies

Sector Scorecard

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