\r\n Only the countries have more 100 energy start-ups in the database are\r\n shown in this data browser. Data for all countries is available in the\r\n full database, which you can download at the top of this page. (All\r\n countries are included in the world totals.)\r\n
\r\n\r\n Note that Crunchbase is not an exhaustive database, some start-ups may\r\n be missing or not included. 2022 data is provisional.\r\n
\r\n \r\n\r\n Crunchbase data on funding received in USD has been deflated using the\r\n Bureau of Labor Statistics' Consumer Price Index, with a base year of\r\n 2022 (Source: “Inflation Calculator.” U.S. Official Inflation Data,\r\n Alioth Finance, 29 Aug. 2022,\r\n https://www.officialdata.org/).\r\n
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\r\n \r\n\r\n For this analysis, start-ups were grouped in three overlapping\r\n categories:\r\n
\r\n\r\n IEA's analysis is based on data from\r\n Crunchbase, which\r\n references about 1.3 million start-ups worldwide, including 46,000\r\n energy-related start-ups – around 3.5% of the total. This data\r\n browser provides indicators to analyse how energy-related start-ups\r\n are performing compared to other start-ups, and to help understand\r\n how energy start-ups are becoming greener and more digital.\r\n
\r\n\r\n Start-ups are often only captured by databases several years after\r\n their creation. In the graph below, the dotted line represents the\r\n number of start-ups included in the database and the solid line\r\n represents the \"nowcasted\" number of start-ups. Nowcasting is the\r\n prediction of the present and the very recent past using a machine\r\n learning model. The bars show early-stage funding, which start-ups\r\n generally receive less than 3 years after their\r\n creation. \r\n Start-up creations are hard to identify in a timely manner.\r\n Because they are too small to be captured in many traditional\r\n data sources and often fall through the cracks of data\r\n identification, they are often included in databases with a time\r\n lag of several years.\r\n \r\n Therefore, from 2016, the number of start-ups is significantly\r\n lower because of such missing data. We thus created a nowcasting\r\n model. For more information, please read the report\r\n Generating timely energy market and behavioural data with\r\n innovative methods.\r\n
\r\n Energy-related start-up activity is categorised in 12 energy\r\n technologies, with the charts below showing how many start-ups were\r\n created in each field. Some start-ups may be categorised under\r\n multiple technologies. \r\n In these charts, start-ups are counted using fractional counts.\r\n We used the ventilation method to generate fractional counts of\r\n the energy technology fields within each company. This consists\r\n of separating each company into as many pieces as their number\r\n of energy sectors. All pieces are allocated a weight\r\n corresponding to the number of occurrences of the given sector.\r\n The weights are then normalised so that the sum of the weights\r\n is equal to 1. Those weights are called \"fractional counts\".\r\n Note that a different fractional count methodology is used for\r\n patent data.\r\n
\r\n Securing funding is crucial for the success of start-ups. There are\r\n numerous sources of funding, which can be divided into three main\r\n stages: early stage, expansion stage, and bridge stage.\r\n
\r\n\r\n As start-ups mature, the proportion of expansion and bridge stage\r\n funding becomes larger. The proportion of funding by stage gives an\r\n indication of the maturity of start-ups in each country. The average\r\n time to get the first funding in each stage provides an indication\r\n about how fast the start-up eco-system is growing.\r\n
\r\n\r\n This dataset splits the energy world into 12 technology fields.\r\n Funding is displayed below by proportion and amount.\r\n
\r\n\r\n The amount of time it takes for start-ups to reach different funding\r\n stages is an additional indicator to compare countries'\r\n start-up ecosystems.\r\n
\r\n\r\n The chart below compares countries in different regions by how long\r\n it takes the average start-up to reach each funding stage.\r\n
\r\n\r\n The ultimate goal of most start-ups is to exit the start-up phase\r\n either by conducting an initial public offering (IPO) and becoming a\r\n publicly-traded company, or by being acquired by a more established\r\n firm. The chart below shows the share of start-ups that managed to\r\n exit within different time periods since their creation.\r\n
\r\n\r\n This dataset splits the energy sector into 12 technology fields, and\r\n each one can have different investment life-cycles. The graph shows\r\n how many start-ups succeeded to exit for each energy technology and\r\n within what timeframe.\r\n
\r\n\r\n The chart below shows how long it takes to begin an IPO or be\r\n acquired. The colour of the line shows which of the two sectors\r\n takes the longest time to exit.\r\n
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