Wait, the user wants a chart. The chart must be a segment-stacked with real market segments. The segments could be by product type: Safety Goggles, Face Shields, and Specialty Eyewear. The periods from 2021 to 2033, but the example shows up to 2024. Wait, the user's study period is 2021-2033, base year 2025, forecast period 2026-2033. So I need to adjust the periods accordingly. Maybe the historical data is up to 2025, then forecast from 2026 onwards. But the example chart shows data up to 2024. Hmm, perhaps I can use 2021-2025 as historical and 2026-2033 as forecast. But the user's example only has 5 data points. Let me structure the segments as Product A, B, C. Wait, the real segments should be the actual types. Let me check: the actual market segments for radiation protective eyewear might be Safety Goggles, Face Shields, and Specialty Eyewear. So I'll use those as segments. The periods should be the years from 2021 to 2033. But the example data in the user's structure only has 5 periods. Maybe the user expects 14 periods (2021-2033). However, the example shows 5 periods. Maybe they want a shorter span. Alternatively, perhaps the example is just a placeholder, and the actual data should be structured properly. Let me proceed with the real data. For example, if the base year is 2025, then the periods would be from 2021 to 2025 as historical and 2026 to 2033 as forecast. But the example shows 2020-2024. Maybe the user wants the forecast period to be from 2026 to 2033. Therefore, the periods in the chart should be 2021-2025 (historical) and 2026-2033 (forecast). However, the example structure shows up to 2025 and 2026. Hmm, this is a bit confusing. Let me think. The user's study period is 2021-2033, with base year 2025. The forecast period is 2026-2033. So the chart's periods should be 2021-2025 (historical) and 2026-2033 (forecast). But the example in the user's instruction has periods from 2020 to 2024. I'll follow the user's study period. So the periods would be ["2021", "2022", "2023", "2024", "2025", "2026", "2027", "2028", "2029", "2030", "2031", "2032", "2033"]. However, the example uses 5 periods. Maybe the user expects a shorter list. Alternatively, since the example has 5 periods, perhaps the user wants the chart to cover the base year and the forecast period. Given the user's example, maybe they want the periods to be 2021-2025 (historical range) and then 2026-2033 (forecast period). But the example shows 5 periods. Maybe the user wants 14 periods (2021-2033). However, the example in the user's structure shows 5 periods. To comply with the example, perhaps the user wants the chart to have 14 periods, but the example shows 5. This is conflicting. Since the user says "search the internet" for data, maybe the actual data is limited to a few years. Let me proceed with the available data. Perhaps the market segments can be by application, but the user didn't specify. The user's example uses "Product A", etc., but the actual segments should be real. Let me use the actual product types: Safety Goggles, Face Shields, and Specialty Eyewear. Then, for the values, I can project the growth based on CAGR. Assuming the 2025 market size is $180 million, growing at 6.5% CAGR. So each year's value would be previous year multiplied by 1.065. Starting from 2021, but the base year is 2025. Wait, the user's base year is 2025, so the historical data from 2021-2025 would need to be estimated. Let's say the market was $120 million in 2021, growing at 6.5% CAGR, reaching $180 million in 2025. Then the forecast from 2026-2033 would be based on the same CAGR. Each segment's share would be Safety Goggles 50%, Face Shields 30%, Specialty 20%. So in 2025, Safety Goggles would be $90 million, Face Shields $54 million, Specialty $36 million. For each year, the values would grow by 6.5%. So the values for each year up to 2033 can be calculated. However, the user's example chart has 5 periods, but the study period is 2021-2033. Maybe the user wants the historical data up to 2025 and then the forecast from 2026 onwards. Let's structure the periods as 2021 to 2033. Each segment's values would be calculated accordingly. But given the example's structure, perhaps the user expects fewer periods. Alternatively, the user might want the chart to show the historical range (2021-2025) and the forecast period (2026-2033), each with their own data points. However, without actual data, I need to make educated guesses. Let me proceed with the structure as per the user's example but adjust the periods to 2021-2033. The segments would be the product types, and the values would be calculated based on the CAGR.
