Skip to main content

Why Autonomous Vehicle Adoption will Grow Slowly

By 2025, just about 15 percent of new passenger car sales worldwide will be autonomous vehicles, with either conditional or full autonomy (level 3 or level 4) capabilities, according to the latest market study by Canalys.

Canalys also estimates that only 1.3 percent of cars sold in 2016 will offer partial autonomy (level 2) and the only cars with conditional or full autonomy in 2016 are for research and development purposes or being used in small public trials.

The few cars available in 2016 with level 2 autonomy come from premium car brands, and the functionality is an optional feature. Autopilot from Tesla, Pilot Assist from Volvo, Intelligent Drive from Mercedes-Benz, and Traffic Jam Assist from Audi and BMW are the leading examples of level 2 autonomy solutions.

Autonomous Vehicle Market Development

The functionality has taken a long time to reach the market in volume, reflecting the slow pace of innovation and the high level of conservatism in the regulation-bound automotive industry. But things are changing: most automotive OEMs have announced launch plans for autonomous vehicles.

"For the first few years of autonomous driving, vehicles will have hybrid autonomy – switching between levels of autonomy depending on the driving environment, the type of road, the speed of traffic or mood of the driver," said Chris Jones, chief analyst at Canalys.

Full autonomy, which does not necessarily need the human driver, will be possible on pre-defined stretches of road, specific lanes of a freeway, zones of a city, campuses or autonomous vehicle-only car parks.

Human drivers will choose what mode to use and the journey could, but doesn't have to, involve a mix of human and machine driving. In full autonomous mode, the vehicles could simply drop off passengers at their destination and drive themselves away to less congested areas to park, or make themselves available to be hailed as a shared transport service.

How we own, use and interact with cars is already changing, according to the Canalys assessment. Fewer young people are obtaining a drivers license -- many prefer alternative forms of transportation. Therefore, Canalys believes that automobile sales will soon start to decrease in large urban markets.

New Trends will Transform Urban Areas

Meanwhile, regulators will embrace the new technology and work with automotive OEMs to help ease the transition onto major highways and urban roads. Moreover, the required autonomous vehicle technology should not dramatically affect the cost of a vehicle. Several things must occur first.

Sensors must get smaller and cheaper. The public must trust the systems and their capabilities must be well communicated. Urban planning will need rethinking to allow for an autonomous future, which would ease and ultimately eliminate congestion and increase safety on large city roads.

Popular posts from this blog

How the COVID-19 Pandemic Advanced Telehealth Adoption

The global COVID-19 pandemic has accelerated digital transformation across many industries. As an example, consider the healthcare sector. Some routine medical situations can be diagnosed and resolved online. While the trend was already in motion long before the pandemic arrived, the adoption of telehealth increased rapidly in 2020. Around the world, many governments responded to the disruption and inaccessibility of healthcare facilities by loosening previous regulations and restrictions on the practice of telemedicine apps, and teleconsultations. This decision resulted in the mass adoption of these medical services among patients and providers. According to the latest market study by Juniper Research, telemedicine will save the healthcare industry $21 billion in costs by 2025 -- that's rising from an estimated $11 billion in 2021. This increased app usage represents an anticipated growth rate of over 80 percent in the next four years. Telehealth Services Market Development The co

How Edge Computing and AI Applications Drive IoT

The global pandemic has accelerated the adoption of emerging technologies, including edge computing and TinyML. As more CIOs and CTOs seek ways to capture and process data at the edge of their enterprise IT network, the demand has fueled investment for Internet of Things (IoT) applications. According to the latest worldwide market study by ABI Research, the global edge Artificial Intelligence (AI), Software-as-a-Service (SaaS), and turnkey service market will grow at a CAGR of 46 percent between 2020 and 2025 to reach $7.2 billion. This is 25 percent of the global edge AI market, which is estimated to be $28 billion by 2025. The market is comprised of edge AI chipsets, SaaS, and turnkey services, as well as professional services. As the benefits of edge AI becomes more obvious, enterprises are searching for edge AI solutions that offer low latency and are fully secured to assist them with data-based analysis or decision-making. Edge Artificial Intelligence Market Development "The

Worldwide Semiconductor Demand will Accelerate in 2021

The technology sector is a key driver of the U.S. economy. Therefore, components like semiconductors play an important role in America's future. The 'CHIPS for America Act' is a new law that calls for incentives on domestic semiconductor manufacturing and investments in research and development. But these renewed efforts will require years of ongoing commitment. Meanwhile, despite the impact of the COVID-19 pandemic, the semiconductor market performed well in 2020. However, new demand by industry was uneven throughout last year due to global lockdowns, remote working adoption, and shifts in consumer and commercial buying behavior. Worldwide semiconductor revenue grew to $464 billion in 2020 -- that's an increase of 10.8 percent compared to 2019, according to the latest market study by International Data Corporation (IDC). Semiconductor Technology Market Development IDC now forecasts that the semiconductor market will reach $522 billion in 2021, that's a 12.5 percent