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
RELATED SERVICE:
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
- 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
- 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?
- 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
- HERE Technologies
- Imagination Technologies
- Qualcomm Inc
- Competitive & Market Intelligence
- Executive & C-Suite
- Marketing
- Product Strategy
- Startup Leader & Founder
- Users & Implementers
Job Role
- Telco & Communications
- Hyperscalers
- Industrial & Manufacturing
- Semiconductor
- Supply Chain
- Industry & Trade Organizations
Industry
Services
Spotlights
5G, Cloud & Networks
- 5G Devices, Smartphones & Wearables
- 5G, 6G & Open RAN
- Cellular Standards & Intellectual Property Rights
- Cloud
- Enterprise Connectivity
- Space Technologies & Innovation
- Telco AI
AI & Robotics
Automotive
Bluetooth, Wi-Fi & Short Range Wireless
Cyber & Digital Security
- Citizen Digital Identity
- Digital Payment Technologies
- eSIM & SIM Solutions
- Quantum Safe Technologies
- Trusted Device Solutions