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Robotic Haul Lorry Market forecast to reach $3.4 Billion by 2030 with a 15% CAGR.

The Business Research Company's Robotic Haul Lorry Market forecast to reach $3.4 Billion by 2030 with a 15% CAGR. LONDON, GREATER LONDON, UNITED KINGDOM, April 26, 2026 /EINPresswire.com/ -- "The robotic haul lorry market is experiencing swift expansion as industries increasingly turn to automation for improved efficiency and safety. These advanced vehicles, which operate with minimal human involvement, are revolutionizing material transport across sectors like mining, construction, and logistics. Let’s explore the market’s current size, key growth factors, regional leaders, and the trends shaping its future. Robotic Haul Lorry Market Size and Anticipated Growth The market for robotic haul lorries has seen significant growth in recent years. It is projected to increase from $1.7 billion in 2025 to $1.95 billion in 2026, reflecting a compound annual growth rate (CAGR) of 14.8%. This upward trend during the historical period has been driven by heightened demand for automation in sectors such as mining and construction, rising labor expenses coupled with operator shortages, adoption of semi-autonomous haul trucks, enhanced focus on operational safety, and expansion of heavy-duty vehicle fleets. Download a free sample of the robotic haul lorry market report: Looking ahead, the market is expected to grow rapidly, reaching $3.41 billion by 2030 with a CAGR of 15.0%. The forecasted growth is largely fueled by the increased deployment of fully autonomous robotic haul lorries, greater incorporation of AI-driven control systems, rising demand for electric and hybrid payload vehicles, expanded use of predictive maintenance and analytics tools, and broader adoption within oil, gas, and logistics industries. Key trends anticipated include the rise in hybrid-powered robotic haul lorries, deeper integration of predictive maintenance technologies, stronger emphasis on remote monitoring and diagnostics, growth in payload-specific autonomous vehicles, and wider deployment in ports and logistics operations. Understanding Robotic Haul Lorries and Their Functionality Robotic haul lorries

CiDi 2025 mining <b>truck autonomy</b> report: key integration lessons for engineers

CiDi 2025 mining truck autonomy report: key integration lessons for engineers Reviewed by Tom Sullivan First reported on International Mining – News 30 Second Briefing CiDi Inc’s 2025 full-year report shows revenue rising from RMB410 million as it scales autonomous haulage systems for mining fleets in China and overseas, competing with EACON Mining, Shanghai BOONRAY, TAGE Idriver and WAYTOUS. The company is deploying retrofit autonomy kits and full-drive‑by‑wire platforms on large rigid and wide‑body trucks, targeting multi‑truck fleets in open pits. Reported challenges include integrating mixed fleets from different OEMs, maintaining reliable GNSS and perception in deep pits, and aligning autonomy roll‑outs with existing haul road geometry and dispatch systems. Technical Brief - CiDi’s autonomy stack is being deployed on both large rigid and Chinese-style wide-body dump trucks. - Retrofit kits interface with existing hydraulic and mechanical controls rather than requiring full truck replacement. - Full drive‑by‑wire platforms are being developed in parallel for new-build autonomous‑ready haul trucks. - Software must handle heterogeneous control protocols and CAN bus architectures across multiple OEMs. - Deep-pit deployments require robust GNSS augmentation and multi-sensor fusion to mitigate satellite occlusion. - Perception systems are tuned for dust, fog and low‑visibility conditions typical of high‑production open pits. - Integration with legacy fleet management and dispatch software is a key constraint on rollout sequencing. Our Take CiDi Inc’s RMB 410 million revenue base and its recent MoA with MMD Group to integrate autonomy into the TraxIQ platform suggest it is shifting from a pure software/autonomy supplier towards embedded OEM-style roles in materials handling fleets. EACON Mining’s autonomous Komatsu HD1500 trials at Norton Gold Fields in Western Australia, covered in several related pieces, indicate that Chinese-origin autonomy vendors are now proving systems in Tier-1 jurisdictions, which will matter for how CiDi, TAGE Idriver, WAYTOUS and others frame

ChatGPT: How Reliable Is The Car Advice?

Volkswagen Saleswoman Gives Man Quote For New Car. Then He Says He Has To Ask His ChatGPT: 'I've Seen Them' 'Sign of the times.' For some industries, the artificial intelligence bubble has burst before it even had a chance to inflate. Take OpenAI’s Sora, which canceled a $1 billion deal with Disney for video creation after further investigation revealed that the resource-heavy tools outpaced any monetization from creating clips from prompts. But that doesn’t mean there still aren’t usage scenarios where AI has proven its usefulness. When it comes to quickly scanning, compiling, and synthesizing available data, it’s a powerful tool for folks who input specific prompts to answer their questions, like car buyers using it to find the best price on the car they’re shopping for. That’s what a Volkswagen sales rep and TikTok user named Sofia (@sofialikescars) said one of her clients did after test-driving a vehicle. And she didn’t know how to react. Customer Holds off on New Car Purchase to Consult with ChatGPT In a social media post uploaded on March 21, Sofia delineated her interaction with the prospective car buyer in question. She says that following the test drive, she gauged the customer’s interest in purchasing the ride. And his response left her unsure of how to react. “I had a brand new objection today that I’ve never had before, and I’m curious what your thoughts are on it," she says in the video. "So I test drove the car, went over every little thing, and then when I finally asked for their business and said, 'Anything I could do today to make you happy to put a deal together?' They said, 'Well, no, I wouldn’t be buying a car today.' And I was like, 'Oh, OK, is there any way I can help you

Alliance Logistics District brings new technology, <b>autonomous</b> semitrucks to Fort Worth, region

The Alliance Logistics District’s creation was announced in November as a partnership between Burlington Northern Santa Fe Railway, Hillwood, a real estate development company, and Fort Worth. “[This is] a first-of-its-kind district that enables advanced logistics operations, including autonomous and heavy-haul freight movement,” said Nicholas Konen, vice president of strategic development at Hillwood. The Alliance Logistics District is one of the latest developments in the master-planned community that Hillwood launched, known as AllianceTexas. It consists of three streets: Mobility Way, Distribution Drive and Intermodal Parkway. The streets are designed so that only vehicles carrying cargo can use them, with the goal of faster and more cost-effective transportation through autonomous and semiautonomous shuttles, according to a Hillwood news release. Konen said the district should reduce congestion on nearby public roadways and lower operational costs that would impact customers. AllianceTexas has had a cumulative economic impact of $142.9 billion since it opened in 1990, according to a Feb. 24 presentation given to Fort Worth officials. Local communities have invested an estimated $4.55 billion in property taxes since the opening of AllianceTexas, according to its most recent economic report. “The partnership between Hillwood and the city and all of our other public partners is stronger and more active than it’s ever been,” Hillwood President Mike Berry said. The features Konen said the logistics district provides a more predictable environment for the technology than traditional public roadways would. “This controlled setting allows for safer integration of advanced vehicle technologies while maintaining oversight and adaptability as conditions change,” he said. The vehicles used at the logistics district are designed for predictable freight movements between facilities and warehouses, Konen said. Aurora, a self-driving technology company, will start a new driverless trucking service from Fort Worth to El Paso this year, according to a company news release.

Volvo Raises Europe <b>Truck</b> Market Forecast After Orders Jump - TT

[Stay on top of transportation news: Get TTNews in your inbox.] Volvo Raises Europe Truck Market Forecast After Orders Jump OEM Expects 310,000 Units This Year, Up From 305,000 Bloomberg News Volvo AB lifted its outlook for the European truck market after orders increased, with business activity also improving in the Americas. Global order intake jumped 14% in the first quarter, the Swedish manufacturer said April 24. It now sees Europe’s heavy-duty truck market at 310,000 units this year, from 305,000 previously. Volvo also increased forecasts for India and Brazil, and cited growth in the global construction market. The company’s shares rose as much as 2.6% in Stockholm. The stock is up around 11% this year. Volvo and its peers Daimler Truck Holding AG and Traton SE are recovering from a longer period of muted demand. Volvo had already raised its outlook for Europe’s heavy-duty truck market in January after signs of stabilization emerged toward the end of last year. Still, the manufacturer reported lower net sales and operating income in the three months through March as deliveries decreased 3%. That was due to declines in South America and Asia as well as a number of production halts in North America, where it owns the Mack brand. The recent increase in orders in that region means output will be in better balance starting in May, Volvo said. The Middle East conflict has not caused any major disruptions in Volvo’s supply chain, the company said, adding that it will monitor how it may affect demand down the road.

ElectraLith: DLE through electrodialysis - Company Profile

ElectraLith: DLE through electrodialysis ElectraLith is an Australian company that has developed a method for direct lithium extraction (DLE) through electrodialysis, utilizing a bipolar membrane. ElectraLith presented on this technology at the Direct Lithium Extraction Summit UK. IDTechEx discusses this technology's potential. ElectraLith: DLE through electrodialysis

Hyundai Is Already Testing Its Next High-Performance Engine

Hyundai Is Already Testing Its Next High-Performance Engine Hyundai says the engine will have 'improved power and response characteristics.' The Breakdown: - Hyundai will publicly test its next-generation high-performance N engine during the 24 Hours of Nürburgring. - The engine has ‘improved power and response characteristics.’ - The current turbocharged 2.0-liter engine makes 276 horsepower in the Elantra N. Next month, Hyundai will begin publicly testing its next-generation high-performance N engine. The automaker is putting the motor in two Elantra N race cars that will compete in next month’s 24 Hours of Nürburgring. The automaker said it wants to validate the new powertrain’s "performance and durability in extreme conditions," but specific details remain elusive. All Hyundai will say about the next-gen engine is that it features "improved power and response characteristics... while meeting emissions regulations." A decade ago, Hyundai did this exact thing, putting a prototype engine in an i30 to compete in the 24 Hours of Nürburgring. A year later, the automaker would begin producing the turbocharged 2.0-liter four-cylinder engine. It is the engine that currently powers the Elantra N, delivering 276 horsepower and 289 pound-feet of torque. Sedans equipped with the dual-clutch automatic feature N Grin Shift, which boosts output to 286 hp for 20 seconds. Compared to other performance compacts, the Elantra N is down on power. The Civic Type R, which is also far more expensive, makes 315. The Golf GTI, which has a similar starting price to the N, makes 241 hp, while the pricier Golf R produces 328 hp. Motor1’s Take: We wouldn’t be surprised if Hyundai’s next N engine delivers around 300 hp, but we don’t expect much more than that. It sounds like this will be an evolution of the current powertrain instead of a complete redesign, so the updates could be

Russia's <b>Driverless Truck</b> Just Drove 2,800 KM Alone—No Human Inside

The global logistics landscape is undergoing an important evolution as a result of the rapid development of autonomous transportation systems and artificial intelligence. The Russian Navio unmanned mainline tractor has successfully completed a journey of nearly 2,800 kilometers without a human pilot inside the cabin, marking a significant milestone. This achievement, which was accomplished at the FSUE NAMI testing grounds, represents a substantial advancement in the direction of completely autonomous freight transportation. This is not just a controlled experiment; it is a strong indication that driverless transportation is on the brink of real-world viability. A Driverless Performance That Sets a New Record Under full AI control, the Navio autonomous tractor traveled approximately 2.8 thousand kilometers, reaching speeds of up to 83 km/h. The absence of human intervention is what differentiates this test. The vehicle was not operated by a driver, nor was a remote operator present to provide guidance. The onboard artificial intelligence system made all decisions, including navigation and acceleration. Ensuring that the system could operate consistently in a variety of visibility scenarios, the experiments were conducted in both daylight and nighttime conditions. This dual-condition testing is indispensable, as long-haul logistics operations often operate continuously, regardless of illumination or time. The system’s functionality and stability over extended operational periods are demonstrated by such endurance testing over lengthy distances. Addressing Actual Driving Obstacles The unmanned tractor executed a variety of complicated driving maneuvers that are essential for real-world deployment throughout the testing phase. These included the following: stopping at traffic signals, obstacle avoidance, and lane adjustments. The system is required to interpret the dynamic surroundings and respond in real time for each of these duties. In contrast to controlled test tracks with minimal variables, these scenarios replicate actual traffic environments in which unpredictability is the norm. The technology’s maturity is

Electric Freight Networks

Amazon Expands Zero-Emission Logistics with Einride EV Trucks Edited by Mursal Rahman — April 24, 2026 — Autos This article was written with the assistance of AI. References: cnbc & techcrunch Amazon’s expansion of electric freight within its Relay network highlights a growing shift toward fully electrified middle-mile logistics. By integrating heavy-duty electric trucks from partners like Einride, the company is reducing reliance on traditional fuel-powered fleets while improving operational efficiency. These trucks are supported by smart routing and charging software, allowing for optimized delivery schedules and reduced downtime across warehouses, ports, and distribution hubs. The use of a centralized digital platform also streamlines how drivers and loads are matched, creating a more flexible and responsive logistics system. From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Image Credit: Einride From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Image Credit: Einride Electric trucks in delivery networks Helps decide what angles to cover on electric freight (adoption timeline, what benefits matter, and which investments readers expect companies to make). 1 / 3 When did you last notice a delivery company talk about electric trucks? 2 / 3 If you ran a shipping network, how likely would you be

Electric Freight Networks

Amazon’s expansion of electric freight within its Relay network highlights a growing shift toward fully electrified middle-mile logistics. By integrating heavy-duty electric trucks from partners like Einride, the company is reducing reliance on traditional fuel-powered fleets while improving operational efficiency. These trucks are supported by smart routing and charging software, allowing for optimized delivery schedules and reduced downtime across warehouses, ports, and distribution hubs. The use of a centralized digital platform also streamlines how drivers and loads are matched, creating a more flexible and responsive logistics system. From a business standpoint, this approach can significantly lower fuel and maintenance costs while helping companies meet sustainability goals. It also strengthens supply chain resilience by reducing exposure to fuel price volatility. As large players scale electric fleets, competitors may be pushed to accelerate their own electrification strategies, invest in infrastructure, and adopt more data-driven logistics systems to remain competitive. Electric Freight Networks Amazon Expands Zero-Emission Logistics with Einride EV Trucks Trend Themes - Electrified Middle-mile Logistics — Widespread adoption of heavy-duty EV trucks in middle-mile routes creates potential for lower operating costs and material shifts in fleet ownership and maintenance models. - Smart Charging and Routing — Optimized charging schedules and AI-driven route planning open possibilities for reducing downtime and enabling trucks to act as flexible grid assets during off-peak periods. - Centralized Digital Freight Platforms — A unified digital layer for driver-load matching and fleet telemetry enables new marketplace models and dynamic capacity allocation across distributed warehouses and hubs. Industry Implications - Third-party Logistics Providers — Logistics service companies face transformation as electrified fleets and data-centric operations shift value toward software-enabled coordination and asset-light models. - Port and Terminal Operations — Port ecosystems may experience operational reconfiguration as electric vehicle charging demand and predictable EV routing alter cargo throughput patterns and

Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light <b>Truck</b>

- At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in bill-of-materials cost for its Gen-7 autonomous driving kit, along with continued operational optimization,

Tesla Faces Waymo. Musk Delivers on Promise, Tesla Cybercab Enters Mass Production

Tesla Faces Waymo. Musk Delivers on Promise, Tesla Cybercab Enters Mass Production Tesla has begun production of its Cybercab Robotaxi, a fully autonomous vehicle designed for a Vehicle-as-a-Service model. This marks a strategic shift for Tesla towards becoming an AI and mobility platform, aiming to capture ride-hailing markets. The Cybercab's mass production signals progress towards commercial execution, potentially re-evaluating Tesla's valuation to a technology platform. Challenges include regulatory hurdles for autonomous driving, ongoing FSD system verification, and increased capital expenditures impacting cash flow amidst slowing EV sales. The Cybercab launch intensifies competition, with Tesla leveraging data, integration, and cost advantages. Investors should monitor regulatory and execution risks. TradingKey - On Friday, March 24, Eastern Time, Tesla CEO Elon Musk stated in a post on X that Tesla (TSLA) has begun production of its Robotaxi model, the highly anticipated fully autonomous taxi known as "Cybercab." The Cybercab is a fully autonomous taxi with no steering wheel or pedals, positioned for commercial operation within a Robotaxi network. This model serves as a key vehicle for Tesla's transformation from an "electric vehicle manufacturer" into an "AI and mobility platform," representing a significant step in Musk's push for a "physical AI" strategy. From a business model perspective, the Cybercab does not rely on hardware sales for profitability. Instead, it accesses an autonomous driving network through a "Vehicle-as-a-Service" (VaaS) model to maximize asset utilization, with a long-term goal of capturing portions of the ride-hailing and taxi markets. For the investment market, Musk has delivered on his 2025 commitment to the Robotaxi mass production plan, signaling that Tesla is accelerating its transformation into a technology platform company. Furthermore, it marks the progression of Tesla's Robotaxi from a conceptual stage toward commercial execution. If the Cybercab achieves smooth mass production and large-scale deployment, it is expected to

Robotaxi Cost to Drop Under 230000 Yuan in 2027, Pony.ai Unveils First L4 <b>Autonomous</b> Light <b>Truck</b>

Gasgoo Munich- Pony.ai took the stage at the Auto China 2026 on April 24, where Founder and CEO James Peng announced a major cost breakthrough. The total cost of its 2027 fully unmanned Robotaxi—encompassing the vehicle, autonomous driving kit, and battery—will slide to under 230,000 yuan. That undercuts the starting price of a domestically built Tesla Model 3. This price drop unlocks economic feasibility for expansion into more Chinese cities, while a tailored overseas version will cater to local regulations and demand, paving the way for a deployment exceeding 1,000 units abroad. Image Source: Pony.ai (same below) At the Shanghai Auto Show in April 2025, Pony.ai unveiled its seventh-generation Robotaxi. Within just six months, the vehicle was operational in Beijing, Guangzhou, and Shenzhen, having already achieved positive unit economics in the Guangdong cities. To date, the company's Robotaxi fleet has surpassed 1,400 units, serving a user base that has topped 1 million—nearly triple the figure from a year ago. To accelerate the virtuous cycle of cost and scale, Pony.ai is rolling out a "dual-engine strategy." The plan centers on scaling up fleets and operational zones in Tier-1 hubs like Beijing, Shanghai, Guangzhou, and Shenzhen to replicate a proven business model. Simultaneously, the company is pushing into "New Tier-1" cities like Hangzhou and Changsha, while launching services and tests in overseas markets including Croatia and Singapore. Pony.ai expects to establish a presence in over 20 cities globally by 2026, with a total fleet exceeding 3,000 vehicles. Notably, 1,000 units of the Toyota Bozhi 4X Robotaxi are slated for deployment; fully unmanned testing has already begun, with commercial operations in Tier-1 cities imminent. Pony.ai also partnered with CATL to debut the world's first fully vehicle-grade, fully redundant L4 autonomous light truck. Sharing the same complex urban road capabilities and L4 architecture as

HPH Trust Unveils Hong Kong's First <b>Autonomous Truck</b> Fleet

(Hong Kong – 21 Apr 2026) Hutchison Port Holdings Trust (HPH Trust) today announced the launch of its inaugural Autonomous Truck (AT) fleet in Hong Kong, a zero-emission vehicle designed for efficient container transport at its terminals. This cutting-edge, AI-powered innovation marks a significant milestone in advancing the city’s smart and green port development, reinforcing Hong Kong’s position as a global maritime hub. Today’s launch ceremony was officiated by Liu Chun San, Under Secretary for Transport and Logistics, HKSAR Government and Ivor Chow, Chief Executive Officer of HPH Trust and Managing Director of Hongkong International Terminals (HIT). AT, designed without a driver’s cab, operates seamlessly alongside conventional vehicles under ‘true’ mixed traffic mode. Powered by AI-driven algorithms, binocular cameras, advanced sensors and precise positioning systems, AT delivers 24/7 all-weather performance, with built-in obstacle detection and emergency response systems. Liu Chun San, Under Secretary for Transport and Logistics, HKSAR Government, said, “The launch of autonomous trucks not only marks a key milestone for the development of Hong Kong’s container terminals, but also signifies a pivotal step in the smart transition of Hong Kong’s port industry. This innovative initiative is a proactive response to the Government’s vision for promoting green and smart shipping, setting a good example for promoting the sustainable development and technological advancement of the Hong Kong Port.” Ivor Chow, Chief Executive Officer of HPH Trust and Managing Director of HIT, said “Today, we are not just launching a fleet of trucks; we are launching a new generation of port technology. These AI-powered, 5G-connected Autonomous Trucks are designed to operate seamlessly alongside conventional vehicles, marking a significant step forward for Hong Kong as a smart, green maritime hub. This initiative advances the smart transformation of the logistics industry in line with the National 15th Five-Year Plan and aligns with the

CiDi Drives Beyond China With New British Partnership

The company will supply its autonomous mining trucks and related technology to MMD Group, as it seeks to cultivate the international market image credit: Bamboo Works Key Takeaways: - CiDi announced a new partnership to provide its autonomous mining trucks and related technology to Britain's MMD Group - The tie-up comes as CiDi tries to diversify beyond its home China market, where stiff competition is eroding its margins It made history last December when it became the first company to list among a new generation of Chinese autonomous mining truck makers. Now, CiDi Inc. (3881.HK) has scored another milestone with a deal that could take it beyond its home China market that currently accounts for nearly all of its revenue. While autonomous mining trucks are a tiny niche of the much larger autonomous driving sector, they are still quite large, worth 1.9 billion yuan ($278 million) in China alone last year and expected to reach about 40 billion yuan by 2030, according to third-party market data from CiDi's IPO prospectus last year. The global market is obviously much larger, which is what CiDi is eying with this new partnership. Autonomous technology is especially attractive to mining companies because it minimizes the potential for injuries and deaths of drivers and other workers when accidents occur at mines. That has translated to strong government support in China, which in 2024 issued a document emphasizing the importance of mining safety and necessity of speeding up development of unmanned mining trucks. CiDi's latest deal will see it supply its autonomous driving systems for use in MMD Group's mining equipment automation solutions. MMD will also sell CiDi's core autonomous mining trucks, along with dispatch systems and charging infrastructure, giving the Chinese company an important outlet to extend its global reach. "This partnership marks a milestone

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Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light <b>Truck</b> | AAP

Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light Truck - At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in

Europe <b>Autonomous Truck</b> Market to Reach USD 35.76 Billion by 2033

The Europe Autonomous Truck Market is projected to grow from USD 13.96 billion in 2025 to USD 35.76 billion by 2033, expanding at a CAGR of 12.6% during the forecast period. Growth is being driven by rising freight automation demand, persistent commercial driver shortages, advancements in AI and sensor technologies, and increasing regulatory support for autonomous mobility corridors across Europe. Autonomous trucks are reshaping Europe’s freight and logistics ecosystem by improving route efficiency, reducing operating costs, enhancing road safety, and enabling 24/7 freight movement. Adoption is accelerating across long-haul transport, mining, port logistics, and last-mile delivery applications as fleet operators pursue greater productivity and digital transformation. Quick Insights - Market Size (2025): USD 13.96 Billion - Forecast Size (2033): USD 35.76 Billion - CAGR (2026–2033): 12.6% - Largest Segment: L2 & L3 Autonomous Trucks (38.68% share) - Fastest-Growing Segment: Level 4 (L4) Autonomous Systems - Leading Region within Europe: Germany - Core Driver: Driver shortages and logistics efficiency automation - Key Players: Daimler Truck, Volvo Group, PACCAR, Scania, MAN, Waymo, Aurora - Key Opportunity: Cross-border autonomous freight corridors - Primary Challenge: Regulation harmonization and high deployment costs Revenue Breakdown & Market Segmentation | Segment Category | Key Insights | |---|---| | Base Year | 2025 – USD 13.96 Billion | | Forecast Year | 2033 – USD 35.76 Billion | | CAGR | 12.6% | | By Level of Autonomy | L1, L2 & L3, L4, L5 | | By Vehicle Type | Light Duty, Medium Duty, Heavy Duty | | By Propulsion | Diesel, Electric, Hybrid | | By Sensor Type | Radar, LiDAR, Cameras, Ultrasonic | | By Application | Freight, Mining, Construction, Last-Mile Delivery | - L2 & L3 autonomy currently dominate due to regulatory readiness and OEM integration. - Heavy-duty trucks represent the largest revenue-generating vehicle

Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light <b>Truck</b>

Pony.ai Drives Commercialization at Scale with Lower-Cost Robotaxis and New L4 Light Truck - At Auto China 2026, Pony.ai outlined new steps to advance Robotaxi commercialization through lower-cost Gen-7 vehicles and an upgraded world model to improve "Virtual Driver" training efficiency. - The total vehicle cost of Pony.ai's 2027 Robotaxi in China market, including the base vehicle and autonomous driving kit, is expected to fall below RMB 230,000. - Pony.ai also unveiled the world's first 100% automotive-grade, fully redundant L4 autonomous light-duty truck, developed with CATL for urban logistics. BEIJING, April 24, 2026 /PRNewswire/ -- Pony AI Inc. ("Pony.ai") (NASDAQ: PONY; HKEX: 2026) is advancing the commercialization of Level 4 (L4) autonomous driving through continued cost reduction, fleet expansion and broader product deployment across mobility and logistics. At Auto China 2026 in Beijing, Pony.ai highlighted progress in lowering the cost of its seventh-generation (Gen-7) Robotaxis, with total vehicle cost of its 2027 Robotaxi in China market, including both the autonomous driving kit and the base vehicle, expected to fall below RMB 230,000, lower than the current starting price of a locally produced Tesla Model 3 in China. The company also pointed to continued robotaxi fleet expansion, a broader L4 product lineup with a new autonomous light-duty truck, and PonyWorld 2.0, its upgraded proprietary world model, as key drivers of continued deployment at scale. "Over the past decade, we have remained focused on turning autonomous driving from a concept into real-world infrastructure," said Dr. James Peng, Founder and CEO of Pony.ai. "Today, the question is no longer whether Robotaxi can work. The focus is how to scale it safely, efficiently and at the right cost." After introducing its Gen-7 Robotaxi lineup last year, Pony.ai has expanded its fleet from 270 vehicles to more than 1,400. Supported by a 70% reduction in