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SpaceKnow uses satellite (SAR) data to capture activity in electric vehicles and automotive factories.

Data is updated daily, has an average lag of 4-6 days, and history back to 2017.

The insights provide you with level and change data that monitors the area which is covered with assembled light vehicles in square meters.

We offer 3 delivery options: CSV, API, and Insights Dashboard

Available companies Rivian (NASDAQ: RIVN) for employee parking, logistics, logistic centers, product distribution & product in the US. (See use-case write up on page 4) TESLA (NASDAQ: TSLA) indices for product, logistics & employee parking for Fremont, Nevada, Shanghai, Texas, Berlin, and Global level Lucid Motors (NASDAQ: LCID) for employee parking, logistics & product in US

Why get SpaceKnow's EV datasets?

Monitor the company’s business activity: Near-real-time insights into the business activities of Rivian allow users to better understand and anticipate the company’s performance.

Assess Risk: Use satellite activity data to assess the risks associated with investing in the company.

Types of Indices Available Continuous Feed Index (CFI) is a daily aggregation of the area of metallic objects in square meters. There are two types of CFI indices. The first one is CFI-R which gives you level data, so it shows how many square meters are covered by metallic objects (for example assembled cars). The second one is CFI-S which gives you change data, so it shows you how many square meters have changed within the locations between two consecutive satellite images.

How to interpret the data SpaceKnow indices can be compared with the related economic indicators or KPIs. If the economic indicator is in monthly terms, perform a 30-day rolling sum and pick the last day of the month to compare with the economic indicator. Each data point will reflect approximately the sum of the month. If the economic indicator is in quarterly terms, perform a 90-day rolling sum and pick the last day of the 90-day to compare with the economic indicator. Each data point will reflect approximately the sum of the quarter.

Product index This index monitors the area covered by manufactured cars. The larger the area covered by the assembled cars, the larger and faster the production of a particular facility. The index rises as production increases.

Product distribution index This index monitors the area covered by assembled cars that are ready for distribution. The index covers locations in the Rivian factory. The distribution is done via trucks and trains.

Employee parking index Like the previous index, this one indicates the area covered by cars, but those that belong to factory employees. This index is a good indicator of factory construction, closures, and capacity utilization. The index rises as more employees work in the factory.

Logistics index The index monitors the movement of materials supply trucks in particular car factories.

Logistics Centers index The index monitors the movement of supply trucks in warehouses.

Where the data comes from: SpaceKnow brings you information advantages by applying machine learning and AI algorithms to synthetic aperture radar and optical satellite imagery. The company’s infrastructure searches and downloads new imagery every day, and the computations of the data take place within less than 24 hours.

In contrast to traditional economic data, which are released in monthly and quarterly terms, SpaceKnow data is high-frequency and available daily. It is possible to observe the latest movements in the EV industry with just a 4-6 day lag, on average.

The EV data help you to estimate the performance of the EV sector and the business activity of the selected companies.

The backbone of SpaceKnow’s high-quality data is the locations from which data is extracted. All locations are thoroughly researched and validated by an in-house team of annotators and data analysts.

Each individual location is precisely defined so that the resulting data does not contain noise such as surrounding traffic or changing vegetation with the season.

We use radar imagery and our own algorithms, so the final indices are not devalued by weather conditions such as rain or heavy clouds.

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Use Case - Rivian:

SpaceKnow uses the quarterly production and delivery data of Rivian as a benchmark. Rivian targeted to produce 25,000 cars in 2022. To achieve this target, the company had to increase production by 45% by producing 10,683 cars in Q4. However the production was 10,020 and the target was slightly missed by reaching total production of 24,337 cars for FY22.

SpaceKnow indices help us to observe the company’s operations, and we are able to monitor if the company is set to meet its forecasts or not. We deliver five different indices for Rivian, and these indices observe logistic centers, employee parking lot, logistics, product, and prod...

Tesla’s revenue grew to nearly **** billion U.S. dollars in the 2024 fiscal year, a *** percent increase from the previous year. The United States is Tesla's largest sales market. The fiscal year end of the company is December 31st. Revenue rises on model additions Nearly **** billion U.S. dollars of the company's revenue is generated from Tesla's automotive segment, which includes the design, manufacturing, and sales of vehicles. As of the first quarter of 2025, the electric vehicle (EV) maker has a model range that includes the Tesla Model S, Tesla Model X, Tesla Model 3, Tesla Model Y, and the tesla Cybertruck. Model 3 legacy The Model Y has emerged as Tesla's best-selling vehicle, leading the ranking in worldwide plug-in vehicle sales in 2024. In June 2021, the Model 3 became the first electric car to pass *********** global sales.Much of Tesla’s spending has specifically been on production of its Model 3 and Model Y, a strongly popular vehicles with high demand. One response to this surge in popularity for the Model 3 was Tesla’s 2018 purchase of land for the construction of a Gigafactory in Shanghai, China. A factory within China provides Tesla steady access to the Chinese electric vehicle market, a consistency welcomed in the midst of tensions between the U.S. and China over trade policies.

Net income attributable to Tesla’s common stockholders was nearly **** billion U.S. dollars, while net income related to noncontrolling interests amounted to ** million U.S. dollars in 2024. This was the fourth year the company turned a full-year profit, after reaching that goal in 2020. The fiscal year end of the company is December, 31st. Focus on innovation drives costs 2020 was the first time that Tesla turned a full-year profit. Previously, net losses had begun to accelerate in 2014, and so did research and development (R&D) expenses. Between 2014 and 2024, Tesla’s research and development expenses increased more than nine-fold from about *** million to over *** billion U.S. dollars. The company's R&D intensity peaked at ** percent in 2017, a striking value compared to GM's **** percent. Tesla's high R&D spending was largely due to the focus on innovative technologies, including electric vehicle batteries and charging infrastructure. In addition to these costs, the company also had to invest significantly more capital than expected towards ramping up production of its Model 3 and Model Y. As a result of increasing demand for Model 3 batteries, Tesla has also begun pouring money into Gigafactory plants in Shanghai, Texas, and Berlin-Brandenburg. Tesla's earnings topped estimates in 2023 with net income reaching nearly ** billion U.S. dollars for the first time. Cost trend   Tesla's selling, general, and administrative (SG&A) expenses jumped from *** billion U.S. dollars in 2016 to more than *** billion U.S. dollars in the following year. SG&A expenses increased moderately to reach around **** billion U.S. dollars the most recent fiscal year.