(MENAFN- GlobeNewsWire - Nasdaq) The Digital Twins in Automotive Market presents key opportunities in regulatory compliance, particularly with UN regulations R155/R156 driving SDV transformations, requiring high-fidelity twins for OTA updates and cybersecurity. Integration challenges and US trade tariffs could impact adoption, influencing growth especially in compliance-driven regions.

Dublin, Oct. 16, 2025 (GLOBE NEWSWIRE) -- The "Digital Twins in Automotive Market Report 2025-2035" report has been added to ResearchAndMarkets's offering.
World revenue for the Digital Twins in Automotive Market is set to surpass US$5.56 billion in 2025, with strong revenue growth through to 2035.
The transition to software-defined vehicles (SDVs) is forcing automakers to industrialise over-the-air (OTA) updates and cybersecurity at type-approval grade, and that makes high-fidelity digital twins non-negotiable. UN Regulation R156 requires manufacturers to demonstrate processes ensuring OTA 'will not impact safety' and that update procedures are documented and auditable; these demands elevate virtual validation twins from nice-to-have to compliance tooling. In parallel, R155 obliges a Cybersecurity Management System across the vehicle lifecycle, pushing OEMs to model software, dependencies and attack surfaces in synchronised cyber twins that continuously test patches before rollout. Regulators and testing houses describe R155/R156 as the first binding, internationally harmonised norms for connected vehicles-codifying the need for repeatable, evidence-rich virtual verification.
Vendors and security consortia echo the shift. The FIDO Alliance's 2025 paper frames R155/R156 alongside ISO/SAE 21434 as the backbone of SDV cyber assurance, while industry explainers note that type approval in many regions now hinges on provable, well-governed software update workflows-precisely the terrain where digital twins de-risk OTA during driving and after service actions. In short, regulation is pulling digital twin adoption forward: compliance deliverables (traceable test evidence, reproducible scenarios, tamper-evident pipelines) align perfectly with model-based engineering and twin-driven release gates.
Integration Debt, Skills Gaps and the Macro Cycle
Digital twins cut across PLM, MES, ALM, CAE, IIoT and data platforms; stitching these stacks is hard, especially in brownfield plants with aging OPC/PLC and bespoke MES. The integration debt shows up in timelines and cash: when auto demand softens, CFOs scrutinise multi-year platform programs. Reuters chronicled Dassault Systemes trimming its 2024 growth outlook on auto slowdown before rebounding in 2025 guidance-reminding us that even category leaders feel cyclical headwinds that can delay or down-scope twin initiatives. Meanwhile, AP reported Bosch job cuts in ADAS/centralised software groups in late 2024, underscoring how software talent realignment can ripple through programs dependent on scarce modellers, data engineers and simulation experts.
These realities translate into uneven adoption, with lighthouse plants racing ahead while others lag. Enterprises with fragmented master data or siloed governance struggle to maintain a single source of truth across product, process and operations twins; the result is model drift and credibility gaps. Without sustained investment in data architecture, change management and workforce up-skilling, digital twins risk becoming isolated proofs of concept rather than enterprise operating systems.

Forecasts to 2035 and other analyses reveal commercial prospects

• In addition to revenue forecasting to 2035, the new study provides you with recent results, growth rates, and market shares.
• You will find original analyses, with business outlooks and developments.
• Discover qualitative analyses (including market dynamics, drivers, opportunities, restraints and challenges), cost structure, impact of rising Digital Twins in Automotive prices and recent developments.

Segments Covered in the Report

By Vehicle Type

• Passenger Vehicles
• Commercial Vehicles

By End-User

• OEM
• Tier 1 suppliers
• Smart Manufacturing Companies

By Application

• Design & Prototyping
• Predictive Maintenance & Diagnostics
• Predictive Maintenance & Diagnostics
• Other Applications

By Type

• Product Digital Twin
• Process Digital Twin
• System Digital Twin
• Vehicle-as-a-Service Digital Twin
• Hybrid Digital Twin

By Technology

• IoT-enabled Digital Twins
• AI-driven Digital Twins
• AR/VR-supported Digital Twins
• Cloud-based Twins
• Blockchain-enabled Twins
• Other Technologies

In addition to the revenue predictions for the overall world market and segments, you will also find revenue forecasts for five regional and 25 leading national markets.

The report also includes profiles for some of the leading companies in the Digital Twins in Automotive Market, with a focus on this segment of these companies' operations.
Leading companies profiled in the report

• ABB Ltd.
• Altair Engineering Inc.
• Autodesk, Inc.
• AVEVA
• Cisco Systems, Inc
• Dassault Systemes (DS)
• General Electric Vernova Company
• Honeywell International Inc.
• International Business Machines Corp.
• Microsoft Corporation
• Mitsubishi Electric Iconics Digital Solutions, Inc. (MEIDS)
• Rockwell Automation, Inc.
• SAP SE
• Schneider Electric SE
• Siemens AG

In summary, the report provides you with the following knowledge:

• Revenue forecasts to 2035 for Digital Twins in Automotive Market, with forecasts for vehicle type, end-user, application, type, and technology, each forecast at a global and regional level - discover the industry's prospects, finding the most lucrative places for investments and revenues.
• Revenue forecasts to 2035 for five regional and 25 key national markets.
• Prospects for established firms and those seeking to enter the market - including company profiles for 15 of the major companies involved in the Digital Twins in Automotive Market.

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