With the autonomous vehicle industry racing from zero to warp speed, every aspect of the driving world is set for innovation and transformation. Automakers face the inevitable shift from today's brand loyalty into more functional and lifestyle models tomorrow, where consumers employ automobiles-as-a-service, thus, giving rise to alternative business opportunities within the automotive industry. Moreover, a competitive value and differentiation will evolve from driver-centric features and existing cabin designs to new and innovative spatial considerations and user experiences. Growing consumer preference for convenient technologies is likely to result in doubling the take rate of level 2 automated driving enabled vehicles in 2016. In 2017 significant investments are likely by Original Equipment Manufacturers (OEMs) in areas of artificial intelligence and cognitive cloud computing solutions that can enable them achieve level 4/5 autonomous driving in the next 5 years. Retrofitted automated driving solutions and AD deployment in shared mobility (taxi) platforms are expected to grow phenomenally. Perception improvement sensors such as mechanical LiDARs are expected to penetrate at a strong pace into autonomous test programs in 2017 as the progress of solid-state LiDAR diminishes.
A few key questions this study intends to answer are as below:
1. What are the top trends that will drive the automated driving market in 2017? What impact will these trends have on the market?
2. What are the key developments in the automated driving market to watch out for in 2017? What are the companies to watch in 2017?
3. What was the size of the total automated driving market in 2016; how is it expected to grow in 2017 and by 2025?
4. What is the impact of regulatory and macroeconomic trends on market growth?
5. What are the opportunities available for automated driving vendors (OEMs, disruptors, suppliers, and startups) in 2017?
The ‘perfect’ sensor suite for highly automated driving, requirement of accurate high definition mapping of the globe, hostile legislation in most parts of the world for AD, and inadequate infrastructure growth are some of the important areas that need to be addressed for a smooth transition toward full autonomy in the global automotive industry. The journey from merely human-operated cars to completely autonomous ones is not a sudden leap, but is a gradual progression. Pioneering semi-automated vehicles is an important milestone toward achieving level 5 automated vehicles. Start-ups and technology leaders are driving fast-tracked innovation in automated vehicle technologies, thereby forcing OEMs, technology providers, and disruptors to partner, acquire, or upgrade Research and Development (R&D) to contend.
- 2016 Key Highlights
- Potentially Disruptive Business Models Cited by Global Survey of CEOs
- 2016–2017 Senior Management Top-of-Mind Issues
- Autonomous Driving Market—Major OEM Outlook: Global
- Noteworthy Start-ups in the Automated Vehicle Ecosystem
- Introduction of Level 3 Automated Vehicles
- Fastest Growing Vision Technologies Enabling Automated Driving
- Sensor Fusion—Critical Step Toward Higher Levels of Automation
- Retrofitted AD Solutions
- Future Scenarios for Autonomous Driving Deployment
- 2017 Top 5 Predictions
- Research Scope
- Vehicle Segmentation
- Society of Automotive Engineers (SAE) Definitions and OEM Positioning
- Key Questions This Study Will Answer
- Top 8 Transformational Shifts Shaping the Future of Autonomous Driving
- Shift 1—Rise of Virtual Assistance
- Shift 1—Rise of Virtual Assistance (continued)
- Shift 2—Multi-modal Mobility
- Shift 3—Connected Living
- Shift 4—New Electric Architectures
- Shift 5—Open Source OS
- Top Trends Driving the Autonomous Driving Market—2017
- Emergence of Automated Driving Connected Taxis
- Automated Taxis—Major Market Disruptors
- Major Technology Partnerships, Investments and Acquisitions
- Case Study—Ford Motor Co.
- Rise of Cognitive Mobility
- Case Study—Self Driving Olli Enabled by IBM Watson IoT
- Key Technology Trends
- Artificial Intelligence—Self-learning in Cars
- Case Study—Deep Neural Network: Intellectual Property (DNN-IP)
- High Definition Mapping for Automated Cars
- Case Study—HERE’s HD Live Map (HERE WeGo)
- Other Emerging Participants in Mapping
- Super Computers—GPU-based Deep Learning
- Case Study—NVIDIA Drive PX2: World’s First Supercomputer for AD
- Autonomous Vehicle—Timeline and Major OEM Activities
- Major OEM Strategy for Stepwise Introduction of Autonomous Driving
- Positioning of Select OEMs Within Automated Driving
- Region-wise Adoption of Autonomous Driving Technologies Till 2025
- Global Level Adoption of Semi and Highly Automated Vehicles
- Region-wise Year on Year Progression of Automated Driving
- Case Study—nuTonomy
- Case Study—Oxbotica
- Case Study—Oryx Vision
- PolySync Technologies
- 2017 Start-ups Disrupting the Autonomous Driving Market
- European Autonomous Driving Market—Overview
- North American Autonomous Driving Market—Overview
- Japanese Autonomous Driving Market—Overview
- Transformation in Autonomous Driving Ecosystem—2017
- Growth Opportunity—Investments and Partnerships from OEMs/TSPs
- Strategic Imperatives for Success and Growth
- The Last Word—Three Big Predictions
- Legal Disclaimer
- Abbreviations and Acronyms Used
- Deep Neural Network
- Ford Motor Co.
- HERE WeGo
- NVIDIA Drive PX2
- Oryx Vision
- PolySync Technologies
- Super Computers