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Free Research

Agentic AI Technologies in the Digital Cockpit

Price: Starting at USD 1,950
Publish Date: 24 Nov 2025
Code: AN-6513
Research Type: Report
Pages: 13
Actionable Benefits

Actionable Benefits

  • Give strategy and product teams a clear view of how edge-first and hybrid compute architectures will reshape cockpit intelligence, enabling more responsive, privacy-preserving in-vehicle experiences.
  • Support Original Equipment Manufacturer (OEM) and supplier decision-making by clarifying where localized compute versus cloud-coordinated intelligence delivers the strongest benefits across regions and vehicle segments.
  • Inform partnerships, investments, and platform roadmaps by outlining the roles of Tier Ones, Artificial Intelligence (AI) providers, hyperscalers, and semiconductor suppliers in the emerging cockpit intelligence stack.
Research Highlights

Research Highlights

  • Forecast of global shipments of new vehicles with Agentic AI from 2025 to 2035, segmented by compute architecture.
  • Analysis of hybrid compute strategies, including edge-first execution for safety-critical reasoning and cloud-supported coordination for updates, analytics, and fleet learning.
  • Examination of emerging technology pillars (specialized silicon, orchestration frameworks, and safety standards) that define next-generation cockpit intelligence.
Critical Questions Answered

Critical Questions Answered

  • How will regional policies, compute availability, and network conditions shape whether automakers prioritize edge-first or hybrid execution in the cockpit?
  • Which technologies and architectures will enable the most valuable cockpit experiences across navigation, maintenance, assistance, and productivity?
  • How should OEMs balance compute cost, hardware readiness, safety governance, and cloud coordination as cockpit intelligence becomes more autonomous and multi-modal?
Who Should Read This?

Who Should Read This?

  • Strategy, product, and innovation leaders at automakers, Tier One suppliers, hyperscalers, and AI technology partners.
  • Semiconductor, software, and cloud providers shaping automotive compute roadmaps and cockpit intelligence platforms.
  • Investors, business development teams, and ecosystem partners evaluating opportunities in in-vehicle AI, compute architectures, and digital cockpit evolution.

Companies Mentioned

Table of Contents

1. KEY FINDINGS

2. KEY FORECASTS

3. KEY COMPANIES AND ECOSYSTEMS

3.1. TIER ONE: APTIV
3.2. AI PROVIDER: CERENCE
3.3. HYPERSCALER: AMAZON WEB SERVICES (AWS)
3.4. HYPERSCALER: GOOGLE
3.5. LOCATION INTELLIGENCE: HERE TECHNOLOGIES
3.6. SEMICONDUCTOR: QUALCOMM
3.7. SEMICONDUCTOR INTELLECTUAL PROPERTY (IP): IMAGINATION TECHNOLOGIES

4. KEY TECHNOLOGY AREAS

4.1. HYBRID COMPUTE ARCHITECTURES: BALANCING CLOUD SCALE WITH EDGE RESPONSIVENESS
4.2. SPECIALIZED PROCESSING FOR MULTI-MODAL WORKLOADS
4.3. MODEL OPTIMIZATION
4.4. AGENTIC ORCHESTRATION FRAMEWORKS
4.5. FUNCTIONAL SAFETY AND GOVERNANCE FRAMEWORKS
4.6. STANDARDIZATION AND HARDWARE READINESS

5. EDGE-FIRST VERSUS CLOUD-FIRST DECISION CRITERIA

5.1. SEGMENT-BASED DESIGNS
5.2. CONNECTIVITY AND INFRASTRUCTURE
5.3. ARCHITECTURAL SCALABILITY
5.4. MARKET OUTLOOK

6. CONCLUSIONS

Companies Mentioned

  • Aptiv
  • AWS
  • Cerence
  • Google
  • HERE Technologies
  • Imagination Technologies
  • Qualcomm Inc