The development of autonomous buses and roboshuttles is likely to continue somewhat slowly due to a lack of funding and regulatory challenges. However, IDTechEx highlights the next stages of developments within their report, and with the already commercialized examples of autonomous city buses and minibusses, success in the industry is increasingly likely.

Over the past couple of years, IDTechEx has reported on the emergence of commercial robotaxi services but has always needed to caveat this with the fact that they have been heavily restricted. Well, in 2024, the shackles are coming off, and the industry is getting ready for take-off.

Friday 22 November 2024 - Mobile Robotics: Emerging applications, challenges, innovative solutions, and the latest market developments; Service Robots: Different applications experience different growth rate; Collaborative Robots: Technologies and industrial news; Sensors for Robotics: An analysis of key sensors

As we look towards 2035, the demand for sensors is expected to grow significantly across various sectors, including automotive, industrial, healthcare, consumer electronics, and environmental monitoring. This article explores the key trends and innovations in sensor technology.

Mobile robots in logistics can be seen to work throughout an entire supply chain from manufacturing processes, to reaching consumers and shops. Material handling, including material transportation and mobile picking, are some of the key jobs for mobile robots at the very beginning of the supply chain. Material transportation alone was seen to hold around 90% of market revenue share as of 2024, according to IDTechEx, signifying the large uptake and importance of mobile robots in redesigning intralogistics and transporting applications.

Thursday 7 November 2024 - Which Technology Innovations Will Be Most Disruptive in the Global Sensor Market? An overview of meta-trends shaping the sensor market landscape; A summary of major market verticals, product types and leading technologies; Coverage of near-term trends in sensor technology development, adoption and integration - including the impact of AI on edge sensing; An overview of disruptive emerging sensor technologies recently commercialized, their value proposition, advantages and market challenges. This includes printed sensors, quantum sensors, emerging image sensors, biosensors, gas sensors and nanocarbon sensors; Case studies in fast growing markets for sensors technology, both established and emerging, such as future mobility, wearables and IoT (industrial, consumer and environmental); Initial ten-year forecasting insights and sensor market outlook for the next ten years

While sensors contribute just a fraction of the annual revenue generated by major electronics companies, sensor technology nevertheless represents a multi-billion-dollar global market.

A free collection of insights from our industry experts, sharing some of the key technology innovation trends shaping the next decade.

The global commercialization of autonomous trucks in 2024 is being shaped significantly by regional regulations and government policies. To enable the growth of autonomous trucking, the U.S., Europe and China have adopted different approaches, primarily influenced by their respective regulatory environments, infrastructure development, and governmental support.

The commercialization progress of autonomous buses and roboshuttles has been slow, falling short of industry expectations. IDTechEx predicts that over the next decade, autonomous buses and roboshuttles will need to demonstrate their commercial viability to continue attracting investment and garner government backing for market development and policy endorsement.

The autonomous truck industry is experiencing a significant revival, with vehicle delivery numbers continuously breaking records. Companies across Asia, Europe, and the United States are eagerly advancing into the commercialization testing phase. Autonomous trucks are addressing critical real-world issues by reducing transportation costs and optimizing Total Cost of Ownership (TCO) through meticulous, practical calculations.

Autonomous buses represent one of the most challenging platforms in the autonomous driving industry. In recent years, commercial interest has shifted towards roboshuttles and robotaxis, partly due to the complex operational design domains (ODD) of autonomous buses.

Thursday 22 August 2024 - Navigating the Autonomous Bus Revolution: Challenges, Successes, and Future Trends. Comprehensive analysis of industry challenges and solutions; In-depth examination of market dynamics and commercialization factors; and Market outlook and future trends

Roboshuttles are small, fully electric, and operate at Level 4 autonomy, making them an ideal last-mile solution. They were once highly anticipated in the autonomous driving industry as a promising mobility solution, and at one point, over 25 companies were competing in this space. However, IDTechEx has observed a yearly decline in the number of active companies from 2020 to 2024, and the industry has not advanced to the large-scale commercial testing phases as hoped.

By 2044, it is expected that the global trucking fleet will be supported by an additional half a million L4 autonomous drivers, while the remaining drivers will either act as supervisors or work in less developed regions. The autonomous truck industry is projected to have an annual growth rate of 25.6% over the next 20 years.

Thursday 25 July 2024 - The Definite Future of Land Logistics: Autonomous Trucks Replacing Drivers. Comprehensive analysis of industry challenges and solutions; In-depth market dynamics and commercialization factors; Detailed TCO analysis and future market outlook

AI chips can empower the intelligence of robotics, with future potential for smarter and more independent cars and robots. Alongside the uses of Chat GPT and chatting with robots at home, the potential for this technology to enhance working environments and reinvent socializing is promising.

Ross and Rachel's relationship in the TV series Friends was characterized by its on-again, off-again nature, with the inevitability that they end up together in the end. Tesla started its full self-driving hardware with radar in 2016, it began the break-up with radar in 2021, and radar was removed from production entirely in 2021.

Artificial Intelligence is transforming the world as we know it; from the success of DeepMind over Go world champion Lee Sedol in 2016 to the robust predictive abilities of OpenAI's ChatGPT, the complexity of AI training algorithms is growing at a startlingly fast pace, where the amount of compute necessary to run newly-developed training algorithms appears to be doubling roughly every four months.