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Current Size
$396.49 billion
Projected 2030
$620.33 billion
CAGR
7.7%
Market Stage
growth1–2 years: Continued global unit growth (IEA and private forecasters expected >20 million EVs in 2025/2026 range in base scenarios), but significant regional divergence. China will continue to lead volumes; Europe will remain policy-driven; North America is sensitive to U.S. federal incentives and tariff/policy shifts. Near-term revenue growth for the sector will be positive but margins under pressure due to price competition and OEM inventory/discounting.
3–5 years: EV penetration continues to rise materially as battery pack prices decline further and new models reach price parity in many segments. BEVs are likely to represent an increasing share of new-car sales globally, but absolute outcomes depend on policy environment, commodity cycles and trade frictions. Infrastructure and service businesses (charging, fleet services, battery recycling) will capture outsized growth relative to vehicle OEM profits.
Overall positive on multi-year structural growth in EV adoption (market stage: growth). Recommend selective, diversified exposure: prioritize battery-materials and cell manufacturers with scale, charging infrastructure and software/service providers, and OEMs with clear cost advantages or differentiated technology. Be cautious on direct retail/OEM equity exposure in markets with high near-term policy risk (for example, U.S. federal incentive uncertainty) and watch for OEM margin pressure and potential write-down risk (examples: recent GM/EU reporting). Use a multi-theme approach (supply chain + infrastructure + software) to mitigate single-company/policy risks.
lovelace combines deep AI research with structured data extraction, delivering validated results you can build on.
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Define any research schema, run it on any list of entities, and get clean JSON back—ready to power dashboards, reports, or any application you build.
Your schema is the contract. lovelace ensures every research result matches your exact data structure.
{ "company_name": "string", "founded": "number", "headquarters": "string", "products": ["string"], "annual_revenue": "string" }
{ "company_name": "Stripe", "founded": 2010, "headquarters": "San Francisco, CA", "products": [ "Payments", "Billing", "Atlas", "Radar" ], "annual_revenue": "$14.3B (2023)" }
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Structured JSON responses
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curl -X GET "https://api.lovelace.dev/v1/jobs/job_123/results" \
-H "Authorization: Bearer sk_live_..." \
-H "Content-Type: application/json"