Smart Electric Vehicle (Smart EV) Market

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Smart Electric Vehicle (Smart EV) Market Research Report Segmented by Vehicle Type (Passenger Cars, Light Commercial Vehicles, Two-/Three-Wheelers, Buses); by Smart Features (Connected Services & Telematics, ADAS & Autonomous Driving, V2X Communication, Infotainment & Digital Cockpit); by Powertrain (Battery Electric Vehicle (BEV), Plug-in Hybrid (PHEV)); and Region Forecast (2026–2030)

Published: 2025 - Dec

Report Code: VMR-18822

Region: Global

Historic Range: 2022-2024

Forecast: 2025-2031

Format: Excel and PDF

Chapter 1. Report Scope & Methodology

Market Segmentation

1.1 Scope, Assumptions & Limitations
1.2 Research Methodology
1.3 Primary Sources
1.4 Secondary Sources

Chapter 2. Executive Summary

Market Segmentation

2.1 Market Size & Forecast – (2024 – 2030) ($M/$Bn)
2.2 Key Trends & Insights
2.2.1 Demand Side
2.2.2 Supply Side
2.3 Attractive Investment Propositions
2.4 COVID-19 Impact Analysis

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FAQ's

A Smart EV is an electric vehicle equipped with connected services (telematics), ADAS/autonomy functions, V2X communication, digital cockpit/infotainment and OTA software, enabling ongoing feature upgrades and monetised services.

In 2025, the global Smart Electric Vehicle (Smart EV) Market was valued at approximately USD 3.89 billion, reflecting the rapid convergence of electrification, connectivity, and advanced automotive software systems. The market is projected to grow at a CAGR of around 20% during 2026–2030, reaching approximately USD 9.68 billion by 2030.

ADAS & autonomy features are forecast to grow fastest in terms of per-vehicle spend and R&D investments, while connected services/telematics dominate near-term total spend due to broad deployability.

OEMs (subscriptions/OTA), Tier-1 suppliers and cloud/platform providers (data services, maps, ADAS software), and third-party mobility/insurance players (usage-based insurance, fleet telematics) will share value often through partnerships.

Regulatory scrutiny of autonomy, cybersecurity/data privacy issues, fragmented software/OS stacks, and the capital intensity of sensor/compute investments.

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