The advent of the self-driving car promises to usher in a new era of personal mobility and forever change the way people think of the automobile. Along with data connectivity and electric vehicles, autonomous driving systems will drive unprecedented levels of semiconductor content in cars, including GPUs, FPGAs, dedicated ASICs, and power semiconductors. A complex set of technologies, both in the cloud and at the edge, are needed to make autonomous vehicles (AVs) a safe, efficient, and enjoyable mode of travel.
The convergence of the automotive and technology industries is accelerating the pace of innovation in the mobility and transportation sectors, creating opportunities for new players and emerging business models that are disrupting the established industry structure. This dynamic has given rise to four megatrends that are shaping the future of mobility and changing the competitive landscape of the automotive industry.
Electric Vehicles:
Clean energy policies are stimulating the development of alternative-fuel vehicles, signaling a long-term shift from the internal combustion engine to electric powertrains. These vehicles will utilize advanced battery management systems and specialized power semiconductor devices.
Connected Cars:
Vehicle connectivity is bringing new services and capabilities into the car and enabling cars to communicate directly with other vehicles, pedestrians, and city and highway infrastructure with vehicle-to-everything (V2X) communications through 5G and dedicated short-range communications (DSRC) technologies.
Autonomous Vehicles:
The application of artificial intelligence (AI) and machine learning (ML) technologies to driving automation is making the self-driving car a reality, evolving from advanced driver assistance systems (ADAS) to partial and full autonomous vehicles. Sensing and perception technologies, such as lidar, radar, ultrasonic, embedded vision systems, GPS receivers and inertial measurement units (IMU) are critical elements of autonomous vehicles.
Smart Mobility:
Ubiquitous connectivity and data analytics are enabling the development of technology platforms for a wide variety of last-mile transportation services, including ride-hailing, pooling, car-sharing, free-floating car-sharing, peer-to-peer (P2P) services, forming the foundation of a new smart-mobility industry.
Automotive technical intelligence and intellectual property management can help automakers and suppliers protect their market position and identify additional revenue streams through competitive benchmarking, patent licensing negotiation, and indemnification. This process assists in market entry due diligence decisions and helps companies understand the intellectual property and technology strengths of their competitors to enable differentiation, guide important technical design decisions, and guide the acquisition of patents to enable lower-risk market entry.
Latest Posts From Our Blogs

Accelerate your process with TechInsights' Logic Packaging Analytics
Are you finding the SoC and ASIC design challenging and time? It takes tremendous time and effort to build up knowledge of the industry, your competitors, your target market, and the product strategies of various SoCs. You may also need to understand critical competitive product benchmarks to achieve design efficiency and differentiation and to enhance your product's performance while optimizing for cost.
Disruptive Event - MediaTek’s Dimensity 1050 chipset AiP
Following up on MediaTek’s strong entry into the 5G mmWave market with their Dimensity 1050 chipset, TechInsights has discovered an innovative mmWave antenna array design in their MT6107O antenna-in-package (AiP) as used in the Moto Edge 2022, model XT2205-3 (Verizon edition), and not previously seen in AiP designs from Qualcomm, Murata, and Apple.
Webinar: Minimizing Battery Degradation in Smartphones
This webinar reviews the existing industry fast charging techniques used by Apple, Samsung, and Xiaomi in their recent flagship smartphones. It was observed that these smartphones benefit from adaptive charging algorithms to suppress battery degradation, which would generally result from the high applied current.
IoT Predictions for 2023
The Mobile channel at TechInsights recently published the annual IoT Predictions for 2023. TechInsights have identified 3 key technology trends and 2 key strategic trends which we expect will shape the IoT market in 2023 and beyond.
Tesla to Use 75% less SiC. Should SiC Stakeholders be Worried?
Tesla's recent announcement that they will reduce the amount of silicon carbide (SiC) in future vehicles by 75% is a significant move for the company, as SiC has been a key material in their vehicles' power electronics systems.