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Live2026-09-28 00:20 UTC+1 todayUpdated

AI adoption across the automotive value chain to jump from 47% to 72% by 2030, PwC says

PwC's first Global Automotive Outlook projects the share of automotive companies using AI and other advanced technologies will climb from 47% today to 72% by 2030.

Automotive companies using AI and advanced techn
47% today to 72% in 2030
Global AI infrastructure investment projected th
US$31.6 trillion
Global BEV share of production
18% today to 30% within five years
Global ICE share of production
60% today to 41% within five years

What Happened

PwC's inaugural Global Automotive Outlook, launched on 24 September 2026 in London, projects that the share of automotive companies using AI and other advanced technologies will rise from 47% today to 72% in 2030. The findings cover manufacturing, R&D, supply chains, sales and corporate functions. The research is based on a survey of 720 automotive executives across 33 countries and territories, conducted in Spring 2026, with detailed analysis on China, Germany, India, Japan and the United States. It identifies three archetypes shaping the sector: inward-looking industrialists, growth-orientated diversifiers and product-focused digitisers. PwC says the growing technology focus comes as rising competition, new customer bases and electrification re-shape consumer expectations and digital-first, software-enabled vehicles become core to the mobility experience.

Technologies executives rate most important for strategic goals
AI
51%
Battery and electric powertrains
41%
In-vehicle software connectivity
39%
“The vehicle is no longer defined by the steel that leaves the factory - it is increasingly being defined by software, digital services and data analytics. As the sector faces increased competition and technology re-shapes the mobility experience, automotive makers must be putting their digital strategies front-and-centre if they are to unlock growth.”
— PwC, Global Automotive Outlook 2026
'Future-fit' companies versus the rest
  • Strategic risk-taking: 80% of future-fit companies report a high tolerance, versus 49% of other companies
  • Highly developed software engineering and AI capabilities: 71% versus 45%
  • Expanding into new customer segments: 86% versus 71%
  • Expanding into offerings beyond automotive: 72% versus 45%
  • Pursuing ecosystem participation: 80% of future-fit companies, versus 64% of all respondents
Projected powertrain mix within five years
Global BEV share of production
18% today to 30%
Global ICE share of production
60% today to 41%
China BEV and ICE share
BEV 29% to 40%; ICE 43% to 29%

Investment remains tilted toward efficiency today: 76% of companies say they allocate capital to their highest-return initiatives, 73% say their manufacturing and operations investments are primarily aimed at productivity and efficiency, and just 12% say those investments primarily target growth and increasing market share. Capability gaps add to the challenge, with half (51%) citing talent shortages and 45% citing current workforce skills among the biggest barriers, while AI and software engineering are named as the most critical capabilities. Automotive companies also expect technology companies to displace industrial manufacturers as their most important collaborators over the next five years, and the share of OEMs rating autonomous driving and advanced driver assistance systems as a top-three revenue source rises from 9% today to 24% in 2030.

Geographies of growth are shifting: only 26% of respondents cite Western Europe as a top-three growth market over the next five years, down from 44% today, while South Asia is projected to see the greatest growth, rising from 24% to 45%, and Southeast Asia from 31% to 44%. The customer base is changing too - respondents expect 33% of revenue to come from new customers within five years, such as commercial fleet operators, mobility service providers and governments, up from 21% today. Almost half (46%) view entrants from adjacent industries, especially technology and energy, as a key source of competition over the next five years.

Why this matters

The survey of 720 automotive executives shows AI ranking above batteries and software connectivity as the technology companies consider most important to their strategic goals. It also shows who is positioned to respond: 'future-fit' firms report far higher risk tolerance and AI and software capability than their peers, while half cite talent shortages as a barrier and tech and energy entrants are seen as key competitors.

Terms in This Story

future-fit
PwC's label for the top 20% of automotive companies identified in its research, based on their capabilities and strategies.
ADAS
Advanced driver assistance systems: electronic features that help a driver with tasks such as staying in lane or braking.
BEV
Battery electric vehicle: a vehicle powered entirely by a battery and electric motor.
OEM
Original equipment manufacturer: a company that builds vehicles and sells them under its own brand.
Read Original: PwC Strategy&

Summarised from the linked release; details can be imperfect — always verify against the original source.

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