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Ipsos Update – April 2025
Canada, Italy, Women's Day … Ipsos Update explores the latest and research & thinking on key topics from Ipsos teams around the world.
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Ipsos Almanac 2025
Our reflections on the key events, trends and surprises of 2024 and what this means for the year to come - it's the Ipsos Almanac 2025.
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Ipsos Update – July 2023
Generative AI, equality, refugees… Ipsos Update explores the latest and greatest research & thinking on key topics from Ipsos teams around the world.
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Ipsos Update – April 2023
Sustainability, happiness, democracy… Ipsos Update explores the latest and greatest research & thinking on key topics from Ipsos teams around the world.
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Ipsos Update – January 2023
Inclusivity, climate change, broken-system sentiment… Ipsos Update explores the latest and greatest research & thinking on key topics from Ipsos around the world.
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Ipsos Update - April 2022
This month sees us reflect on the impacts of the Covid-19 pandemic two years on. Our featured global surveys cover topics including gender equality and interpersonal trust. We also look at the French election ahead of this month’s vote, alongside the latest polling on the Ukraine conflict.
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Ipsos Update - March 2022
Opinion polling, the year ahead in Brazil, gender inequality in Japan, and the future of ageing are all featured topics in this month’s round-up of research and thinking from Ipsos teams around the world.
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Ipsos Update - November 2021
Our monthly round-up of research and thinking from Ipsos around the world includes new global reports on the topics of health, trustworthiness, and infrastructure. Also discover the latest white papers on empathy, insights, and retail trends.
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顛覆你想像的保險
以保費為例，因為有了科技協助，「動態保費」的時代也跟著來臨了。未來保險商品也能個人化。目前只根據性別、年齡來計算保費高低。未來透過大數據，將改變過去使用「平均值」來計算保費的方式，而是依照個人行為所產生的風險大小計算出費率之別，讓保單設計轉變成「以人計費、一人一價」。
With help of technology, the premiums may also be priced individually. In the future, it is possible that insurance products become more tailored to meet individuals. At the moment, premiums are based on gender and age. With big data, the cost of premium can be calculated by past averages associated with personal behaviors and risks. In another word, for the same policy, each of the insured pays a different fee.