Now, for the chart. The user wants a segment-stacked chart with real market segments. Possible segments could be Type (e.g., 64-slice, 128-slice, 256-slice), Application (e.g., oncology, cardiology, trauma), or End-User (hospitals, clinics). Let's go with Type as the segment. The periods should be from 2020 to 2033, but the study period is 2021-2033, base year 2025. Wait, the example data in the JSON has periods up to 2025 but the study period is up to 2033. The user's base year is 2025, and the forecast is from 2026-2033. So the periods in the chart should cover the study period. But the example in the JSON includes 2020-2033. Maybe the user wants the historical period up to 2025 and forecast up to 2033. Let me structure the periods as 2021 to 2033. But the example given in the user's JSON has periods up to 2025. Hmm. Wait, the study period is 2021-2033. The base year is 2025, so historical data is 2021-2025, and forecast 2026-2033. The chart's periods should include both historical and forecast, so 2021 to 2033. The segments could be the different CT types. Let's assume three types: 64-slice, 128-slice, and 256-slice. The values for each year would be in billions. For example, in 2021, 64-slice might be $0.4B, growing each year. 128-slice could start at $0.5B and grow to $1.2B by 2033. 256-slice might be $0.3B in 2021, increasing to $1.0B by 2033. The total market size in 2021 would be around $1.2B, growing to $2.1B in 2033. I need to create the data points for each segment across the years.