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1、Prof.Dr.Anna SchneiderHochschule Fresenius University of Applied Sciences,Cologne(Germany)Dr.Ren ArnoldHuawei,Shenzhen(China)August 2022Picture Taan Huyn from unsplashSmartwatch usersSix country market overviewChina28%smartwatch users3.9metrics tracked22.6additional connected devices used3x1.5increa

2、se in exercise1354124general andexercise tracking6general orexercise tracking6no tracking6femalemale42%58%33median ageyears477%exercise regularly5Legend:Smartwatch users represent the respondents stating to have used a smartwatch during the four weeks prior to the survey.1 Smartwatch users compared

3、non-users.2 Including respondents who track no metrics at all.3 Referring to other sports-focused connected devices selected from a list of 19 devices.4 The sample in China was representative of the online population in China,consequently a younger median age can be expected.5 Referring to at least

4、moderate exercise;definitions used in the questionnaire:mild exercise(e.g.,stretching,casual walking,fishing,golf using cart),moderate exercise(e.g.,yoga,hiking,jumping on a trampoline),strenuous exercise(e.g.,martial arts,competitive soccer,football,hockey,high impact aerobics).6 Share of responden

5、ts in percent;“no tracking”refers to respondents who do not actively track at least one metric pertaining to their physical activity or body functions monitoring.N(China total)=3,007;n(smartwatch users)=836.Icons:Danishicon,Flatart,Tom Fricker,and Supalerk Laipa from the Noun Project.France17%smartw

6、atch users2.4metrics tracked21.6additional connected devices used3x1.3increase in exercise1523216general andexercise tracking5general orexercise tracking5no tracking5femalemale53%47%47median ageyears62%exercise regularly4Legend:Smartwatch users represent the respondents stating to have used a smartw

7、atch during the four weeks prior to the survey.1 Smartwatch users compared non-users.2 Including respondents who track no metrics at all.3 Referring to other sports-focused connected devices selected from a list of 19 devices.4 Referring to at least moderate exercise;definitions used in the question

8、naire:mild exercise(e.g.,stretching,casual walking,fishing,golf using cart),moderate exercise(e.g.,yoga,hiking,jumping on a trampoline),strenuous exercise(e.g.,martial arts,competitive soccer,football,hockey,high impact aerobics).5 Share of respondents in percent;“no tracking”refers to respondents w

9、ho do not actively track at least one metric pertaining to their physical activity or body functions monitoring.N(China total)=3,078;n(smartwatch users)=530.Icons:Danishicon,Flatart,Tom Fricker,and Supalerk Laipa from the Noun Project.Germany20%smartwatch users2.92.0 x1.4increase in exercise1433720f

10、emalemale48%52%45median ageyears67%exercise regularly4metrics tracked2additional connected devices used3general andexercise tracking5general orexercise tracking5no tracking5Legend:Smartwatch users represent the respondents stating to have used a smartwatch during the four weeks prior to the survey.1

11、 Smartwatch users compared non-users.2 Including respondents who track no metrics at all.3 Referring to other sports-focused connected devices selected from a list of 19 devices.4 Referring to at least moderate exercise;definitions used in the questionnaire:mild exercise(e.g.,stretching,casual walki

12、ng,fishing,golf using cart),moderate exercise(e.g.,yoga,hiking,jumping on a trampoline),strenuous exercise(e.g.,martial arts,competitive soccer,football,hockey,high impact aerobics).5 Share of respondents in percent;“no tracking”refers to respondents who do not actively track at least one metric per

13、taining to their physical activity or body functions monitoring.N(China total)=3,073;n(smartwatch users)=602.Icons:Danishicon,Flatart,Tom Fricker,and Supalerk Laipa from the Noun Project.Italy24%smartwatch users3.41.8x1.4increase in exercise1393922femalemale44%56%45median ageyears53%exercise regular

14、ly4metrics tracked2additional connected devices used3general andexercise tracking5general orexercise tracking5no tracking5Legend:Smartwatch users represent the respondents stating to have used a smartwatch during the four weeks prior to the survey.1 Smartwatch users compared non-users.2 Including re

15、spondents who track no metrics at all.3 Referring to other sports-focused connected devices selected from a list of 19 devices.4 Referring to at least moderate exercise;definitions used in the questionnaire:mild exercise(e.g.,stretching,casual walking,fishing,golf using cart),moderate exercise(e.g.,

16、yoga,hiking,jumping on a trampoline),strenuous exercise(e.g.,martial arts,competitive soccer,football,hockey,high impact aerobics).5 Share of respondents in percent;“no tracking”refers to respondents who do not actively track at least one metric pertaining to their physical activity or body function

17、s monitoring.N(China total)=3,065;n(smartwatch users)=724.Icons:Danishicon,Flatart,Tom Fricker,and Supalerk Laipa from the Noun Project.United Kingdom19%smartwatch users2.71.5x1.4increase in exercise1433918femalemale52%48%41median ageyears56%exercise regularly4metrics tracked2additional connected de

18、vices used3general andexercise tracking5general orexercise tracking5no tracking5Legend:Smartwatch users represent the respondents stating to have used a smartwatch during the four weeks prior to the survey.1 Smartwatch users compared non-users.2 Including respondents who track no metrics at all.3 Re

19、ferring to other sports-focused connected devices selected from a list of 19 devices.4 Referring to at least moderate exercise;definitions used in the questionnaire:mild exercise(e.g.,stretching,casual walking,fishing,golf using cart),moderate exercise(e.g.,yoga,hiking,jumping on a trampoline),stren

20、uous exercise(e.g.,martial arts,competitive soccer,football,hockey,high impact aerobics).5 Share of respondents in percent;“no tracking”refers to respondents who do not actively track at least one metric pertaining to their physical activity or body functions monitoring.N(China total)=3,052;n(smartw

21、atch users)=591.Icons:Danishicon,Flatart,Tom Fricker,and Supalerk Laipa from the Noun Project.United States22%smartwatch users2.82.8x1.5increase in exercise1453817femalemale52%48%40median ageyears64%exercise regularly4metrics tracked2additional connected devices used3general andexercise tracking5gen

22、eral orexercise tracking5no tracking5Legend:Smartwatch users represent the respondents stating to have used a smartwatch during the four weeks prior to the survey.1 Smartwatch users compared non-users.2 Including respondents who track no metrics at all.3 Referring to other sports-focused connected d

23、evices selected from a list of 19 devices.4 Referring to at least moderate exercise;definitions used in the questionnaire:mild exercise(e.g.,stretching,casual walking,fishing,golf using cart),moderate exercise(e.g.,yoga,hiking,jumping on a trampoline),strenuous exercise(e.g.,martial arts,competitive

24、 soccer,football,hockey,high impact aerobics).5 Share of respondents in percent;“no tracking”refers to respondents who do not actively track at least one metric pertaining to their physical activity or body functions monitoring.N(China total)=3,083;n(smartwatch users)=686.Icons:Danishicon,Flatart,To

25、m Fricker,and Supalerk Laipa from the Noun Project.Method:CAWI:Computer Assisted Web InterviewSample size(s):n=18,358(Germany n=3,073;Italy n=3,065;France n=3,078;China n=3,007;UK n=3,052;US n=3,083)Sampling time:2022/04/26 to 2022/05/09Length of interview:The median length of interview varied betwe

26、en 21 and 24 minutes depending on the country.Sampling frame:The sample type is a non-probability sample recruited and stratified on basis of representative quota distributions(quota sample).Sampling procedure:Using YouGovs proprietary sampling technology,quotas are framed based upon the census or p

27、rofile of the required populationin the beginning.This frame is the basis on which the sampling software controls the flow of members into each survey.The sampling software randomly selects from the available panel,and allocates to surveys according to the quotas set.YouGovs sampling software includ

28、es a router.This removes the potential for self-selection on surveys,and increases the ability to deliver lower incidence samples within a short time frame.Panelists receive an invitation email containing a survey link.When they access the link the router checks against quotas on all live surveys an

29、d allocates them to a survey for which they qualify.Thus,panelists are not invited to a specific single survey,reducing the risk of early response bias,social desirability or othermotivational biases.Survey pretest:For testing functionalities,the online survey was soft launched from 2022/04/25 to 20

30、22/04/26.On the basis of the results,minor adjustments were implemented.Respondents from the soft launch were removed from the final sample.Questionnaire:Huawei in collaboration with Prof.Dr.Anna Schneider provided the master questionnaire in English.YouGov reviewed the questionnaire and translated

31、it into the local languages required for the target countries.Data preparation and analysis:The survey data was processed by YouGov and provided in a SPSS data set.Incomplete cases were removed from the data set.Cases from the pretest as well as cases with duplicate cookie ids were removed.Analyses

32、were done in R.MethodologyProf.Dr.Anna SchneiderHochschule Fresenius University of Applied SciencesSince 2017,Anna Schneider is Professor of Business Psychology.Her research interests and teaching revolve around the impact of digitalization on consumer behavior,and in particular how people communica

33、te and interact with emerging technology.Anna is a member of various research associations and sits on the scientific board of the Wissenschaftliches Institut fr Infrastrukturund Kommunikationsdienste(WIK)a renowned communications and internet policy think tank.Drawing on more than 20 years of hands

34、-on experience in market research she regularly advices public and private organizations on surveys as well as qualitative research projects.The authorsDr.Ren ArnoldHuawei Technologies Ltd.Ren Arnold is Vice President Public Affairs Strategy at Huawei Technologies.Previously,he worked at high-profil

35、e think tanks in Germany(German Economic Institute and WIK)and Brussels(Bruegel)where his research focused on digital economy,internet policy and impact assessments of regulatory frameworks.Over the past ten years,Ren has(co-)authored more than 100 conference papers,journal articles and white papers

36、.He is a frequent speaker at both academic and industry events contributing among other fora to the ITU economic and industry round table,the Digital Summit of the German government and the research committee of the Munich Circle.Copyright2018 Huawei Technologies Co.,Ltd.All Rights Reserved.The info

37、rmation in this document may contain predictive statements including,without limitation,statements regarding the future financial and operating results,future product portfolio,new technology,etc.There are a number of factors that could cause actual results and developments to differ materially from

38、 those expressed or implied in the predictive statements.Therefore,such information is provided for reference purpose only and constitutes neither an offer nor an acceptance.Huawei may change the information at any time without notice.Bring digital to every person,home and organization for a fully connected,intelligent world.Thank you.