It is estimated that around 65 percent of all car purchases in Indonesia are made through a loan. This correlation between domestic car sales and economic growth is clearly visible in the case of Indonesia. Between the years 2007 and 2012, the Indonesian economy grew at least 6.0 percent per year, with the exception of 2009 when GDP growth was dragged down by the global financial crisis. In the same period, Indonesian car sales climbed rapidly, but also with the exception of 2009 when a steep decline in car sales occurred.
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- As such, from a macroeconomic and monetary perspective there is a good context in Indonesia, one that should encourage rising car sales in the years ahead.
- Monthly U.S. auto sales have been stuck at around 1.1 million since August 2021.
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Volkswagen Group holds a 37.73% stake in Scania (68.6% voting rights), a 53.7% stake in MAN SE (55.9% voting rights), Volkswagen is integrating Scania, MAN and its own truck division into one division. Renault and Nissan Motors have an alliance (Renault-Nissan Alliance) involving two global companies linked by cross-shareholding, with Renault holding 43.4% of Nissan shares, and Nissan holding 15% of (non-voting) Renault shares. Geely Holding Group holds an 8.3% stake and a 15.9% exercisable voting rights in Volvo.
More specifically, the existing vehicle data model and ontology built on top of it, enable exchanging valuable and useful information consistently across the industry. The mission of the Automotive and Transportation Business Group is to act as an incubator of ideas for standardization for connected vehicles. We reinvent individual business processes like R&D and manufacturing, while transforming the business as a whole. As an end-to-end transformation partner, we help clients incorporate software, data, analytics, and AI throughout the value chain. Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future. Access unmatched financial data, news and content in a highly-customised workflow experience on desktop, web and mobile.
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Transitioning automotive compute from hardware-defined to software-defined provides new services and solutions for automakers, enabling upgrades and new features to be delivered seamlessly over-the-air for a better consumer experience. The move to equip vehicles with increasingly sophisticated driver assistance systems, and eventually to make the vehicle fully autonomous, requires a combination of object detection and imaging sensors. By combining radar detectors, cameras and optical depth sensing systems such as LiDAR, a vehicle can capture a detailed, real-time view of the space around it, while building in redundancy to protect against the failure of any one sensor.
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Some estimates surpass 180,000 L of water per car manufactured, depending on whether tyre production is included. Production processes that use a significant volume of water include surface treatment, painting, coating, washing, cooling, air-conditioning and boilers, not counting component manufacturing. Paintshop operations consume especially large amounts of water, because equipment running on water-based products must also be cleaned with water. In this next iteration of Automotive, companies must get creative about how they reshape their products, structure their businesses, use technology, and reimagine the services and experiences they bring to their customers. In this environment, automotive organizations must balance the need for new investments in software, data, and cloud while facing mounting pressure to cut costs and preserve cash. They must adapt the way they serve the customer, while maintaining traditional sales and service models.
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