Latest news with #Driver
Time of India
14 hours ago
- Sport
- Time of India
'Emotions run high': Red Bull's Max Verstappen admits his move that invited a penalty at Spanish Grand Prix was not right
Max Verstappen could have very much been on the podium at the Spanish Grand Prix, at least in the third spot, had he not received a 10-second penalty for touching George Russell's Mercedes amid his eagerness to reach the finish line. Tired of too many ads? go ad free now The Red Bull driver has now shared a note on Instagram, acknowledging the mistake that he says 'shouldn't have happened.' His fans, however, have shown him full support and want him to move ahead. Max Verstappen's costly mistake at Spanish Grand Prix Moments before the finish line, Max Verstappen's Red Bull was seen raging ahead for the podium finish, but in the tussle to move ahead of the rest, he was seen intentionally touching George Russell's Mercedes in Lap 64. As a result, Verstappen was handed a 10-second time penalty, which pushed him to the 10th position. Verstappen's Instagram post comes as his license received an additional three penalty points, which brings him in close vicinity of a one-race ban if he commits just one more mistake on the track. Max Verstappen pens note to address collision with George Russell's Mercedes Sharing a picture of him in a helmet, Verstappen wrote, 'We had an exciting strategy and good race in Barcelona, till the safety car came out. Our tyre choice to the end and some moves after the safety car restart fuelled my frustration, leading to a move that was not right and shouldn't have happened. I always give everything out there for the team and emotions can run high. You win some together, you lose some together. See you in Montreal. ' Verstappen's fans came out in full support in the comments section. Commenting on the post, a fan wrote, 'We understand the frustrations and we support you.' Another said, 'Just stay strong Max, very understandable why you got mad and I can't blame you. Now get back out there and do what you do best.' Tired of too many ads? go ad free now One more wrote, 'Topsport comes with emotions sometimes. Things can happen, on to the next race, you're the best of the best, no doubt on that on to the next race. ' A comment also read: 'We love you, Max! You're simply lovely even when being angry!' A fan also said, 'We understand and support you! You're incredibly talented and the best driver in the world! Keep pushing.' Also Read: Verstappen is currently in third position in the 2025 Formula 1 Driver Standings with 137 points. He has won two races so far, including the Japanese Grand Prix and the Emilia Romagna Grand Prix. The next race is the Canadian Grand Prix in Montreal from June 13–15.
Yahoo
6 days ago
- Automotive
- Yahoo
Automotive Artificial Intelligence (AI) Hardware Market to Reach USD 40 Billion by 2034, Growing at a CAGR of 10.5%
Automotive Artificial Intelligence (AI) Hardware Market Outlook 2025-2034 Luton, Bedfordshire, United Kingdom, May 28, 2025 (GLOBE NEWSWIRE) -- Industry Overview As of 2024, the automotive AI hardware market is valued at approximately USD 15 billion and is projected to surge to USD 40 billion by 2034, growing at a compound annual growth rate (CAGR) of 10.5%. This growth is driven by the expanding adoption of advanced driver-assistance systems (ADAS) and autonomous driving technologies, along with the rising integration of AI-enhanced software and hardware into modern vehicles. Get a Sample PDF Brochure: AI technologies are becoming a cornerstone of automotive innovation, especially with the ongoing shift toward electric vehicles (EVs), predictive maintenance, real-time navigation, and seamless user interfaces. However, challenges remain—including stringent regulatory standards and integration complexities—underscoring the need for advanced R&D and robust collaboration between OEMs and tech innovators. Market Segmentation By Product Type In-Vehicle AI Chips Sensor Hardware (LiDAR, Radar, Cameras) Control Units (ECUs) By Application Autonomous Driving Systems Advanced Driver Assistance Systems (ADAS) Traffic Management Solutions By End User Original Equipment Manufacturers (OEMs) Tier 1 Suppliers Aftermarket By Technology Machine Learning Natural Language Processing (NLP) Computer Vision By Vehicle Type Passenger Cars Commercial Vehicles Electric Vehicles (EVs) By Region North America Latin America Europe Asia-Pacific Middle East and Africa Segment Insights Product Type Analysis Sensor Hardware leads with 40% market share, vital for enabling autonomous functions. In-Vehicle AI Chips represent 30% share, driven by increasing demand for intelligent safety systems. Control Units (ECUs) account for 25%, reflecting the integration of AI for vehicular connectivity and automation. Application Analysis ADAS dominates with 50% market share, fueled by global safety regulations and consumer demand. Autonomous Driving Systems hold 35%, with continued investments aimed at full autonomy. Traffic Management Solutions, at 15%, benefit from smart city initiatives. End User Analysis OEMs dominate with 60% share, leading AI hardware integration in new models. Tier 1 Suppliers hold 30%, playing a key role in delivering advanced components. Aftermarket claims 10%, gaining momentum with retrofit and upgrade solutions. Technology Analysis Machine Learning holds the largest share at 45%, enabling features like predictive analytics. Computer Vision follows with 35%, essential for safety and autonomous functions. NLP, with 10%, enhances human-vehicle interaction via voice command features. Browse full Report - Regional Insights The global automotive AI hardware market demonstrates diverse regional dynamics, with varying levels of maturity, innovation, and growth potential across different geographies. These regional trends are influenced by technological adoption rates, regulatory frameworks, investment levels, and consumer behavior. North America North America currently dominates the global automotive AI hardware market, accounting for approximately 45% of total market revenue. This leadership position is largely attributed to the presence of a robust innovation ecosystem comprising world-leading technology companies, automotive OEMs, and AI hardware developers. The region, particularly the United States, is home to pioneers in autonomous driving, including companies such as Tesla, Waymo, and NVIDIA, which are continuously advancing AI capabilities in vehicles. Government and private-sector R&D investments in artificial intelligence, machine learning, and automotive electronics are significantly driving innovation. In addition, consumer readiness to adopt new automotive technologies and the widespread deployment of connected vehicle infrastructure further strengthen North America's position in this market. Asia-Pacific The Asia-Pacific (APAC) region is emerging as the fastest-growing market, projected to expand at a compound annual growth rate (CAGR) of 12% over the forecast period. This growth is primarily fueled by rapid adoption of electric vehicles (EVs), rising disposable income among middle-class consumers, and strong governmental support in the form of incentives, subsidies, and infrastructure development. Countries such as China, Japan, and South Korea are leading the charge in AI integration for smart mobility, with China being a global powerhouse in both EV production and AI research. Automakers in the region are heavily investing in AI-enabled features such as driver monitoring systems, predictive maintenance, and autonomous navigation to enhance vehicle intelligence and safety. Furthermore, local governments are promoting smart city initiatives and autonomous public transport solutions, creating a favorable environment for AI hardware deployment in the automotive sector. Europe Europe remains a key region in the global automotive AI hardware landscape, distinguished by its commitment to innovation, sustainability, and regulatory compliance. European countries, including Germany, France, and the Netherlands, are at the forefront of integrating AI in automotive applications, especially in the context of reducing carbon emissions and advancing mobility solutions. The region has a well-established automotive industry with prominent OEMs such as BMW, Volkswagen, and Daimler, who are actively incorporating AI for enhanced vehicle automation and safety. Additionally, the European Union's stringent environmental regulations and emphasis on green transportation have led to increased R&D investments in AI-based solutions for EVs and hybrid vehicles. Europe's focus on ethical AI usage, data privacy, and cybersecurity standards also sets a benchmark for global automotive technology development. Market Dynamics The global automotive AI hardware market is undergoing rapid transformation as technological innovation, evolving consumer preferences, and supportive regulations converge to shape its future. This dynamic environment presents both growth opportunities and challenges that stakeholders must navigate strategically. Growth Drivers One of the most significant drivers of the market is the increasing adoption of Advanced Driver Assistance Systems (ADAS) and autonomous vehicle technologies. These systems are no longer optional add-ons but are becoming standard features in modern vehicles due to their potential to enhance road safety and overall driving experiences. Automakers are actively integrating AI-powered sensors and processors to enable functions such as lane keeping, automatic braking, and adaptive cruise control, laying the foundation for fully autonomous vehicles. In parallel, rapid technological advancements in AI chips, sensor hardware, and high-performance computing units have enabled the real-time processing and decision-making capabilities necessary for intelligent vehicle operations. These innovations reduce latency and improve the accuracy of AI models, thus making AI-driven automotive applications more reliable and scalable. Moreover, regulatory support for electric and low-emission vehicles is further propelling the integration of AI technologies. As governments implement stricter emission norms and offer incentives for electric vehicles (EVs), automakers are incorporating AI to optimize battery management, enhance driving efficiency, and comply with environmental standards. Consumer expectations are also evolving. There is a rising demand for intelligent and connected vehicles that offer personalized in-car experiences, real-time traffic updates, and proactive maintenance alerts. This shift in consumer behavior is pushing automotive manufacturers to invest heavily in AI hardware to stay competitive and meet market expectations. Challenges Despite its promising outlook, the automotive AI hardware market faces several critical challenges. Regulatory hurdles and stringent safety compliance standards often delay the deployment of autonomous systems. Achieving regulatory approval for AI-driven functionalities, especially those involved in critical driving decisions, remains a significant bottleneck, particularly in regions with conservative safety frameworks. Another major concern is the disruption of global supply chains, particularly in the availability of semiconductors and other key electronic components. These supply constraints can halt production, delay vehicle rollouts, and increase costs for manufacturers. Ensuring a stable and diversified supply chain has become essential for companies operating in this space. Furthermore, the high cost of AI hardware integration and the technical complexities of retrofitting or replacing legacy systems in existing vehicle architectures present additional barriers. Many traditional manufacturers struggle with adapting their production processes to accommodate sophisticated AI modules, which can lead to increased development timelines and operational expenses. The price-sensitive nature of the automotive industry, particularly in emerging markets, can limit the adoption of AI hardware. Consumers in cost-conscious regions may prioritize affordability over advanced features, which forces manufacturers to strike a delicate balance between innovation and profitability. Emerging Trends & Opportunities Amid these challenges, several emerging trends and opportunities are creating new pathways for growth. One such trend is the increased integration of AI in electric vehicles. AI is being used to enhance battery diagnostics, optimize energy consumption, and predict maintenance needs, all of which are crucial for improving the efficiency and lifespan of EVs. This convergence of AI and EV technology is expected to be a key growth area over the next decade. Another promising development is the emergence of subscription-based AI features and over-the-air (OTA) updates. These innovations allow automakers to monetize software features post-sale and continuously improve vehicle performance and user experience without the need for physical upgrades. Consumers benefit from regularly updated systems that adapt to their preferences, while manufacturers create new revenue streams. The market is also seeing an upsurge in strategic partnerships between traditional automakers and tech firms. These collaborations combine automotive engineering expertise with cutting-edge AI development, accelerating the rollout of autonomous and semi-autonomous features. Notable partnerships are driving innovation in sensor fusion, data analytics, and vehicle-to-everything (V2X) communication. Finally, there is a growing emphasis on enhancing user experience through AI-driven voice and facial recognition systems. These features not only improve convenience and personalization but also contribute to driver safety by minimizing distractions and enabling intuitive interactions between the driver and vehicle. Buy Now : Key Players NVIDIA Corporation Intel Corporation Qualcomm Technologies Tesla Inc. Advanced Micro Devices (AMD) Waymo LLC Mobileye (Intel subsidiary) Bosch GmbH Baidu Inc. Continental AG ZF Friedrichshafen AG Aptiv PLC Veoneer Inc. Morpheus AI Recent Developments : 1. Tesla: Advancing Autonomous Mobility with Robotaxi Launch and Dojo Supercomputer Tesla is poised to launch its highly anticipated robotaxi service in Austin, Texas, starting June 2025. The initial phase will feature approximately 10 autonomous Model Y vehicles, with plans to scale up to 1,000 robotaxis within a few months. This service will operate through a Tesla app and will be invite-only initially, monitored by remote teleoperators to ensure safety. Tesla's approach relies solely on cameras and AI, foregoing expensive sensor stacks used by competitors. Complementing this initiative is Tesla's Dojo supercomputer, designed to process vast amounts of video data captured from its fleet to enhance Full Self-Driving (FSD) capabilities. Dojo's unique architecture allows for efficient training of machine learning models, aiming to accelerate the development of autonomous driving technologies. 2. Intel: Expanding Automotive AI with New SoCs and Strategic Partnerships At Auto Shanghai 2025, Intel unveiled its second-generation AI-enhanced software-defined vehicle (SDV) system-on-chip (SoC), featuring the automotive industry's first chiplet architecture. This innovation aims to provide scalable performance and advanced AI capabilities for intelligent, connected vehicles. Intel also announced strategic collaborations with companies like ModelBest and Black Sesame Technologies to accelerate innovation in AI-powered cockpits and advanced driver-assistance systems (ADAS). Additionally, Intel formed a partnership with Mentech to develop an edge-native intelligent cockpit system, marking the industry's first purely edge-based GUI AI assistant for vehicles. This system enables offline voice command recognition, contextual memory, and personalized service recommendations, enhancing in-car user experiences. 3. NVIDIA: Collaborating with Automakers and Introducing New AI Hardware NVIDIA has extended its collaboration with General Motors (GM) to develop next-generation vehicles, factories, and robots using AI, simulation, and accelerated computing. GM will utilize NVIDIA's accelerated compute platforms, including NVIDIA Omniverse and NVIDIA DRIVE AGX, to optimize factory planning and robotics, as well as to enhance in-vehicle experiences with advanced driver-assistance systems. In response to U.S. export restrictions, NVIDIA is preparing to launch the RTX Pro 6000D (B40) Blackwell GPUs, designed to comply with export regulations while maintaining high performance. These server-class GPUs utilize GDDR7 memory and are expected to be available by Q3 or Q4 2025, ensuring NVIDIA's continued presence in China's AI market. 4. Qualcomm: Driving AI Innovations Across Automotive Sectors At CES 2025, Qualcomm showcased its expanded automotive collaborations, highlighting its Snapdragon Digital Chassis's role in powering AI-driven in-cabin and ADAS features. Partnerships with companies like Alps Alpine, Amazon, Leapmotor, Mahindra, Hyundai Mobis, and Royal Enfield demonstrate Qualcomm's commitment to enhancing driver comfort, safety, and multimodal contextual awareness. Notably, Qualcomm and Mahindra & Mahindra have collaborated to launch Mahindra's first electric SUVs, the BE 6 and XUV 9e, powered by Snapdragon Digital Chassis solutions. These vehicles offer AI-driven, digital-first in-car experiences tailored for Indian consumers, including multi-screen infotainment, immersive multimedia, and AI-powered personalization. 5. Bosch: Advancing Automotive AI Hardware and Collaborations Bosch continues to play a pivotal role in the automotive AI hardware market, focusing on developing critical components and integrating technologies. As a Tier 1 supplier, Bosch is instrumental in providing advanced sensor hardware, including LiDAR, radar, and cameras, essential for enabling autonomous functionality in vehicles. The company's emphasis on safety regulations and autonomous driving applications positions it for robust growth in the sector. Bosch's collaborations with various automakers and tech companies aim to enhance vehicle safety and efficiency through AI-powered solutions. By investing in research and development, Bosch seeks to improve the cost-efficiency and capability of sensors, thus capturing greater market share in the automotive AI hardware industry. This report is also available in the following languages : Japanese (自動車向け人工知能ハードウェア市場), Korean (자동차 인공지능 하드웨어 시장), Chinese (汽车人工智能硬件市场), French (Marché du matériel d'intelligence artificielle pour l'automobile), German (Markt für Hardware für künstliche Intelligenz im Automobilbereich), and Italian (Mercato dell'hardware per l'intelligenza artificiale nel settore automobilistico), etc. Get a Sample PDF Brochure: More Research Finding – Automotive Artificial Intelligence AI MarketThe global automotive AI market is valued at approximately $22 billion, driven by the increasing integration of AI technologies in vehicle systems, such as autonomous driving and enhanced user experiences. By 2034, the market is projected to reach around $128 billion, reflecting robust growth amid rising demand for intelligent automotive Artificial Intelligence Eye Screening System MarketThe global artificial intelligence (AI) eye screening system market is valued at approximately $1.3 billion in 2024. With advancing technology and increasing prevalence of eye-related conditions, the market is projected to reach around $4.5 billion by 2034. This indicates a robust Compound Annual Growth Rate (CAGR) of about 13.2% during the forecast period from 2025 to UML Diagram Tool MarketThe global Unified Modeling Language (UML) diagram tool market is valued at approximately $500 million. By 2034, this market is projected to reach around $1.2 billion, indicating significant growth driven by the increasing adoption of software development methodologies and digital transformation across industries. The Compound Annual Growth Rate (CAGR) for the forecast period from 2025 to 2034 is estimated at 8.5%. Artificial Intelligence AI Interactive Electronic Whiteboards Future TrendsThe global market for Artificial Intelligence (AI) Interactive Electronic Whiteboards is estimated to reach approximately $2.3 billion in 2024, driven by increasing demand for interactive learning environments and enhanced collaborative tools in educational and corporate settings. This market is projected to expand at a Compound Annual Growth Rate (CAGR) of 12.5% from 2025 to 2034, potentially reaching around $7 billion by Healthcare Artificial Intelligence Future Trends and ImpactThe global healthcare artificial intelligence (AI) market is valued at approximately $12 billion, reflecting significant advancements in technology integration across healthcare settings. The projected market value for 2034 is expected to reach around $48 billion, demonstrating robust growth driven by the increasing adoption of AI solutions in diagnostics, treatment planning, and patient Artificial Intelligence In Bioinformatics Future TrendsThe artificial intelligence (AI) in bioinformatics market is poised for significant expansion, with an estimated market value of approximately $5.1 billion in 2024. Projections indicate that this market could reach around $12.3 billion by 2034, growing at a robust Compound Annual Growth Rate (CAGR) of 9.1% over the period from 2025 to Artificial Intelligence In Pathology Future Trends and InsightsThe global market for artificial intelligence (AI) in pathology is valued at approximately $1.2 billion. The market is projected to grow significantly, reaching an estimated value of $4.5 billion by 2034, fueled by advancements in technology and increasing adoption of AI solutions in healthcare settings. The Compound Annual Growth Rate (CAGR) for the forecast period from 2025 to 2034 is anticipated to be around 15.1%. Artificial Intelligence In Omics Studies MarketThe artificial intelligence (AI) market in omics studies is projected to reach approximately $1.8 billion in 2024, driven by advances in genomics, proteomics, and metabolomics. Forecasts indicate a robust growth trajectory, with the market anticipated to expand to about $4.6 billion by 2034, reflecting a Compound Annual Growth Rate (CAGR) of 9.5% during the 2025–2034 Artificial Intelligence Ai In Medical Imaging MarketThe global market for Artificial Intelligence (AI) in medical imaging is valued at approximately $3.5 billion in 2024, with projections indicating a robust growth trajectory reaching around $11.5 billion by 2034. This represents a Compound Annual Growth Rate (CAGR) of 12.5% during the forecast period from 2025 to United States Cognitive Assessment MarketThe United States cognitive assessment market is valued at approximately $3.6 billion in 2024, driven by increasing demand for early diagnosis of cognitive disorders and advancements in assessment technologies. The market is projected to grow at a CAGR of 8.5%, reaching an estimated $6.5 billion by Health Insurance MarketThe global health insurance market is valued at approximately $2.5 trillion in 2024, driven by rising healthcare costs, increased life expectancy, and a growing focus on preventive care. The projected market value for 2034 is expected to reach around $4 trillion, reflecting a robust expansion fueled by a shift towards digital health solutions and personalized insurance Autonomous Trains MarketThe global autonomous trains market is valued at approximately $5.2 billion, driven by advancements in technology and increasing demand for public transportation safety and efficiency. The market is projected to reach around $10.1 billion by 2034, reflecting a compound annual growth rate (CAGR) of approximately 6.8% during the forecast period (2025–2034). Automotive Artificial Intelligence MarketThe Automotive Artificial Intelligence (AI) market is poised for significant growth, with a current valuation estimated at $17 billion in 2024. This market is projected to reach approximately $45 billion by 2034, reflecting substantial advancements in technology and increasing consumer demand for smart automotive features. The Compound Annual Growth Rate (CAGR) during the forecast period from 2025 to 2034 is anticipated to be around 10%, driven by developments in autonomous driving, enhanced safety systems, and in-car virtual Real-Time Apron Management MarketThe real-time apron management market is valued at approximately $1.2 billion in 2024, driven by increased demand for operational efficiency and safety in airport ground handling. With the rising volume of air traffic and the need for enhanced turnaround times, the market is expected to grow, reaching an estimated $2.8 billion by 2034. This represents a compound annual growth rate (CAGR) of around 9% from 2025 to Armored Unmanned Underwater Vehicle MarketThe global market for Armored Unmanned Underwater Vehicles (AUVs) is valued at approximately $3.2 billion in 2024, with expectations to reach around $6.5 billion by 2034. This projection reflects a robust Compound Annual Growth Rate (CAGR) of approximately 7.4% during the forecast period from 2025 to Fifth-party 5PL Logistics MarketThe global fifth-party (5PL) logistics market is valued at approximately $63 billion, driven by increasing demand for integrated supply chain solutions and digital logistics. As organizations seek to enhance efficiency and reduce costs, 5PL providers are emerging as critical players by offering comprehensive management of logistics networks. The market is projected to reach about $102 billion by 2034, reflecting significant growth amidst evolving consumer expectations and technological Healthcare in Metaverse MarketThe global metaverse in healthcare market is experiencing rapid growth, driven by advancements in technologies such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI). In 2024, the market was valued at approximately USD 11.75 billion. Projections indicate that by 2034, the market will reach around USD 125.64 billion, reflecting a compound annual growth rate (CAGR) of approximately 26.74% over the forecast Wireless Charging Chip MarketThe global wireless charging chip market is valued at approximately $5.6 billion in 2024, with projections suggesting significant growth, reaching around $12.1 billion by 2034. This indicates a robust Compound Annual Growth Rate (CAGR) of approximately 8.2% during the forecast period from 2025 to Integrated Charging Control Unit ICCU MarketThe global Integrated Charging Control Unit (ICCU) market is projected to reach a value of approximately $3.5 billion in 2024, driven by increasing demand for electric vehicles (EVs) and energy-efficient charging solutions. The market is expected to witness robust growth, with an estimated value of $7.4 billion by 2034, reflecting a Compound Annual Growth Rate (CAGR) of 7.8% between 2025 and Sterile Isolator MarketThe global sterile isolator market is valued at approximately $2.3 billion in 2024 and is projected to reach around $4.5 billion by 2034, reflecting a robust Compound Annual Growth Rate (CAGR) of approximately 7.1%. This growth is driven by increasing demand from the pharmaceutical and biotechnology sectors for contamination-free environments, notably in drug manufacturing and research CONTACT: Contact Data Irfan Tamboli (Head of Sales) Phone: + 1704 266 3234 Email: sales@ in to access your portfolio
Yahoo
22-05-2025
- Yahoo
Homeowner accused of shooting mother bear in north GA mountains
A homeowner faces charges in the shooting and killing of a mother bear in the north Georgia mountains. The Bent Tree Public Safety and Management said the homeowner has been charged by a Georgia Department of Natural Resources game warden. Bent Tree has also cited him for violating its rules and regulations. [DOWNLOAD: Free WSB-TV News app for alerts as news breaks] Someone spotted the mother bear's body on Oglethorpe Mountain Road on Friday and said there were two cubs near her. The cubs have been spotted since then, but not since Monday afternoon. Bent Tree officials said a man who lives near the spot admitted that he shot the bear Thursday night. The man said that the bear came to his house three times that night, hitting the glass on his door and aggravating his dogs. The first time, he said he yelled and banged on the glass to scare the bear away. The second time, he turned his car alarm on. During the bear's third visit around 10 p.m., the man said he 'felt like he could not go to sleep safely' and fired his gun from the side window of his house to scare the bear away. The man said the bear had been in his driveway near the porch and ran off. TRENDING STORIES: Lake Lanier closures: Number of parks closing will be scaled back, US Rep. says Driver pleads guilty to hitting, killing 8-year-old at school bus stop Metro hospital prompting people to open medical credit card to pay for surgeries, patient says The Bent Tree Public Safety Department said an employee received a text from the man asking if he could shoot the bear. The employee responded to not shoot it and to instead call public safety to scare the bear away. The text messages were sent 45 minutes before the man said he shot the bear. The public safety department said it never got a call from him. The homeowner has not been identified. Channel 2 Action News has reached out to the Georgia DNR to confirm the exact charges. A spokesman said the report will be available by the end of the week. As for the cubs, Bent Tree officials have asked for neighbors to not search for them, but report any activity to them by calling 770-893-2628. 'If you can get a video or picture from your vehicle or home without scaring them, please do so. We are focused on reports of one or two cubs. Our team continues to report information to the DNR and coordinate with them for the best resolution for the cubs. We will provide updates with any changes or new information,' they said. [SIGN UP: WSB-TV Daily Headlines Newsletter]
IOL News
22-05-2025
- Automotive
- IOL News
Max Verstappen shines amid Red Bull turmoil and Christian Horner's uncertain future
Max Verstappen Red Bull Racing's Max Verstappen celebrates after securing pole position during the qualifying session for the Miami Grand Prix. Photo: AFP Image: AFP The age old adage that 'where there's smoke, there's fire' comes to mind when rumours of Christian Horner's exit from Red Bull came to light. It could just be that an opposition team started a rumour to throw them off their game this season or that Red Bull's management in Austria are actually considering replacing the Englishman. If you had to plot Red Bull's performance since the last season, it would look like a downward trend with spikes of individual brilliance from Horner's golden boy Max Verstappen. But overall, the team has lost that edge it had in the 2022 and 2023 season, during which they dominated the sport. Not without reason, an integral part of Red Bull's outfit was stripped away when car designer Adrian Newey left them for Aston Martin. Newey's influence in Red Bull's dominant years could not be seen on the track as Verstappen was the one behind the wheel, but without him, the team have struggled since the start of the 2025 season. Signs of relief emerged at the Emilia Romagna Grand Prix, however, when Verstappen single handedly took apart the 'untouchable' McLarens with yet another bold overtake at Turn 1. It was a narrow track though, with few opportunities to overtake other than Turn 1, even if you're as gutsy as Oscar Piastri. Excuses aside, Verstappen's drive at Imola silenced any critics that they were unable to compete with McLaren this season. That is for the Driver championship at least, as they stand little to no chance for the Constructors title this year. Despite the win at Imola, reports from the F1 world indicate that Horner may lose the support of the Thai contingent within Red Bull if the upgrades they made at Imola do not prove successful for the remainder of the season. To say that Horner is under an immense deal of pressure to deliver right now, would be an understatement. What makes it worse is that Red Bull unfortunately have two drivers who have delivered points this year, and their from two separate teams. Isack Hadjar of the Racing Bulls has been the only other reliable driver this year, with Yuki Tsunoda and Liam Lawson having a difficult season so far. Verstappen's class, skill and determination has given the Milton Keynes outfit some much needed breathing room with his wins at Imola and Suzuka. He's also shunned any rumours that Horner's head is on the chopping block. "Of course, I think naturally, as a team, we are not entirely happy with how we are performing, but we're also working on trying to be more competitive. "But if you ask everyone this question, I think no one is happy or satisfied with their performance, you always want to be better, you want to perform more. That's what we're trying to do. So, for me, these rumours don't mean anything,' Verstappen said. Pressure to deliver a fast car After the first quarter of the season, it was evident that McLaren were leaps and bounds of everyone else in the paddock - leaving Horner with little time to act decisively and make adjustments to the RB21. They started with small changes underneath the car, then adjusted the front and rear suspension in Miami. They've also redesigned the floor of the RB21 with more weight, which could improve the overall balance. Red Bull Chief Engineer Paul Monaghan said the changes will be incremental, but conceded that trying to come up with a cure for the RB21 may never fully rid it of the problems. 'It's going to be incremental improvements on the car. We understand what's happened, but actually affecting a cure is not that straightforward. It may never disappear from the car. 'Can we reduce the magnitude, and improve the lap time? Yes, there are a lot of clever people in Milton Keynes at work or are working hard to improve, and it will come,' Monaghan told an Italian F1 publication. Verstappen has managed to secure pole positions this season and with the Monaco Grand Prix up next, the importance of pole position could not be overstated. Both McLaren drivers, thankfully for Verstappen, don't have any real history of success there as yet, but Ferrari drivers Lewis Hamilton and Charles Leclerc do. And with the Prancing Horse making some headway during the Imola race, a fight for pole with Ferrari may be on the cards for Verstappen. We can only wait and see what Oscar Piastri or Lando Norris has to offer.
Scottish Sun
16-05-2025
- Entertainment
- Scottish Sun
Formula E star Dan Ticktum says Red Bull have not had a better junior driver since he was dropped by Christian Horner
Ticktum, 25, has earned a reputation as the bad boy of motor sport over the years. Tick-ed off Formula E star Dan Ticktum says Red Bull have not had a better junior driver since he was dropped by Christian Horner Click to share on X/Twitter (Opens in new window) Click to share on Facebook (Opens in new window) DAN TICKTUM says Red Bull have not had a better junior driver since he was dropped by the team in 2019. The British racing driver now races for Idris Elba's backed Formula E team Kiro Racing Co and stars in the sport's new fly-on-the-wall series - Driver. Sign up for Scottish Sun newsletter Sign up 3 Dan Ticktum has found his home in Formula E after earning a bad boy reputation in motorsport Credit: Getty 3 Ticktum and English actor Idris Elba who has backed Formula E team Kiro Racing Co. Credit: Getty 3 Ticktum spent two-years at Red Bull's academy Credit: Getty Ticktum, 25, has earned a reputation as the bad boy of motor sport over the years. He was banned for a year from ignoring a safety car to purposefully crash into a karting rival. He was later signed by both Red Bull and Williams' F1 driver academies and was axed by both. Ticktum has got a smile back on his face in Formula E though and has recalled his time in Red Bull's academy ahead of this weekend's double header in Tokyo. He said: "Red Bull has got their reputation for being quite ruthless. I understand how it operates and I quite like it. 'I don't necessarily agree with all the decisions. It's very black and white and if the results aren't on paper that's it really. 'Marko knows how to spot a good driver, he does get knocked for some of his harsher decisions. 'I had the year of F3 which was a very successful year. I was double world champion that year, some pretty political stuff went on there, I won't go into too much detail. BEST ONLINE CASINOS - TOP SITES IN THE UK 'I didn't have enough super licence points because the new super license came out, I had 38 not 40 points so the FIA wouldn't allow me in F1. 'Red Bull were keen to have me at Torro Rosso at the time in 2019 so I had to do some Super Formula stuff in 2019. Man City legend Sergio Aguero's new career as a racing driver for Porsche 'Some more political stuff went on which I can't talk about, it was a bit unfair but that's life, that's racing, it happens. 'I didn't quite get to F1 with them, I would have fit in well and to be brutally honest I would have been better than pretty much any junior they've had since me.' Max Verstappen's teammate at Red Bull has been a hot-topic over the past few years with a series of brutal hiring and firings. Christian Horner's ruthless axing of Liam Lawson for Yuki Tsunoda after just two races this season showed he is still taking no prisoners. Ticktum felt the wrath of Horner and Helmut Marko when he was axed from the programme when he was driving for their junior team in Super Formula six-years ago. It was speculated that Ticktum would replace Brendon Hartley at Toro Rosso for the 2019 F1 season, but it was given to Daniil Kvyat. His Red Bull exit came shortly after stalling his car and spinning on a curb at Autopolis in qualifying before finishing the race in 15th. Wild rumours swirled that physically assaulted his engineer - which have since been put to bed by him. Ticktum has a glittering trophy cabinet and rubbed shoulders with Lando Norris in his karting days. His accolades include winning the Macau Grand Prix in 2017 and 2018, becoming the youngest winner at the event, and a McLaren Autosport BRDC Award winner in 2017. He has several F2 victories to his name including a win at Silverstone in his rookie season and he finished fourth in the FIA F2 standings in 2021, with three victories. When asked about his battles with Norris during his karting days, he said: 'I remember having a rivalry with him in 2013 because we were both at Ricky Flynn. 'He was obviously an exceptional driver, he was particularly exceptional in karting that time because other people had started to grow. 'He was very, very light and you had to put lead on the car and you could bolt it to the bottom of the seat. 'He had a much lower centre of gravity than anyone plus he was very good, so he was very successful in karting. 'We were tit for tat for a little bit in that season and yeah I think it was pretty clear that me and him were the most talented people doing it at that time.' Ticktum is one of the stars of Formula E's new docu-series called Driver which is available to watch on Amazon. Ticktum was the culprit of a swear-laden rant in last season's race in Jeddah, screaming 'f***ing hell guys' at his team. When asked about the FIA's strict current rules on swearing, he said: 'If I give any answer I will end up with a £30,000 fine so no comment.' On the series, he added: 'The series is really cool. It's great to have more behind the scenes stuff. "I guess I've been edited to fit the mould of being villain, but people think I come across genuinely and tell truth which is what I am. "Hopefully if there is season two then if they follow this year again then there will be more episodes. "It's great for the championship. The deal is incredible with Amazon." Watch Dan Ticktum in Formula E: Driver on Amazon Prime Video now and at Formula E's Tokyo E-Prix on 17th and 18th May
