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1、THE RISE OF AI CHATBOTS FOR PROBLEM-SOLVINGHow much traction have AI chatbots gained over the last six months in the technology industry?OCTOBER 20242About SlashDataAbout Developer NationDeveloper Nation is a global developer community,committed to creating a space where all software creators can se

2、t the right foundations for their career,learn how they stack up against emerging software development trends,get tips and discover opportunities for professional growth as well as plan wisely their next moves.Our vision is to empower developers to shape the future!devnationworldSlashData is the lin

3、k between the developers and the organisations that serve them.We bring you all the data to understand who developers are,what they need and expect from your product and how you can engage with them.We reach out to developers to hear their views across 11 development areas:Web apps,Mobile apps,Deskt

4、op apps,Cloud/Backend services,AR/VR,Games,IoT,ML/AI&Data Science,Embedded software,Apps/extensions for 3rd-party platforms,DevOps and more!Understand developers.Inspire the future of technology.SlashData Ltd.Swan Buildings(1st floor)20 Swan Street Manchester,M4 5JW+44 161 240 0603www.slashdata.coSl

5、ashDataHQ3Can I share data from this report?1.License GrantThis report is licensed under the Creative Commons Attribution-NoDerivatives Licence 4.0(International).Put simply,subject to the terms and conditions of this license,you are free to:Share You can reproduce the report or incorporate parts of

6、 the report into one or more documents or publications,for commercial and non-commercial purposes.Under the following conditions:Attribution You must give appropriate credit to SlashDataTM,and indicate if changes were made.In that case,you may do so in any reasonable manner,but not in any way that s

7、uggests that SlashDataTMendorses you or your use.NoDerivatives you cannot remix or transform the content of the report.You may not distribute modified content.2.Limitation of Liability SlashDataTM,believes the statements contained in this publication to be based upon information that we consider rel

8、iable,but we do not represent that it is accurate or complete and it should not be relied upon as such.Opinions expressed are current opinions as of the date appearing in this publication only and the information,including the opinions contained herein,are subject to change without notice.Use of thi

9、s publication by any third party for whatever purpose should not and does not absolve such third party from using due diligence in verifying the publications contents.SlashDataTMdisclaims all implied warranties,including,without limitation,warranties of merchantability or fitness for a particular pu

10、rpose.SlashDataTM,its affiliates,and representatives shall have no liability for any direct,incidental,special,or consequential damages or lost profits,if any,suffered by any third party as a result of decisions made,or not made,or actions taken,or not taken,based on this publication.The analyst of

11、the developer economy|formerly known as VisionMobileSlashData Copyright 2024|Some rights reserved4Liam DoddSenior Market Research AnalystLiam is a former experimental antimatter physicist,and he obtained a PhD in Physics while working at CERN.He is interested in the changing landscape of cloud devel

12、opment,cybersecurity,and the relationship between technological developments and their impact on society.bleona.bicajslashdata.coABOUT THE AUTHORSKonstantinos KorakitisDirector of ResearchKonstantinos heads the Research Product team at SlashData and is responsible for all syndicated research product

13、s and custom research projects.With more than 10 years of experience as an engineer,consultant and manager,he oversees research planning,survey design,data analysis,insights generation and research operations.konstantinosslashdata.cobrayton.nollslashdata.coBleona BicajSenior Market Research AnalystB

14、leona Bicaj is a behavioral specialist,enthusiastic about data and behavioralscience.She holds a Masters degree from Leiden University in Economic and Consumer Psychology.She has 5 years of professional experience as an analyst in the data analysis and market research industry.Brayton NollSenior Mar

15、ket Research AnalystBrayton Noll is a behavioral scientist with a background in climate change and environmental research.He holds a PhD from TU Delft in computational social-science with his thesis focusing on human behavioral dynamics and climate adaptation.He has five years of experience working

16、with data analytics.5State of the Developer Nation Q3 2024|SlashData|Some rights reserved 5Our Developer Committee supported our efforts once more,to create the most up-to-date and detailed survey.Special thanks to our members:Akhil,Artem,Ivan,Dominic,Jorge,Christopher,Deborah,George,Grisela,Ioannis

17、,Julia,Ken,Kujtim,Lim,Lucas,Maxim,Niccol and Rajasekar for your help with reviewing survey content,translations,and suggesting prizes.Our survey was translated into nine different languages-Simplified Chinese,Traditional Chinese,Korean,French,Japanese,Portuguese,Russian,Spanish,and Vietnamese.Thanks

18、 to our linguistics partner Palex Group who supported us to create an inclusive survey.In addition,our prize payments partner,Chimoney.PARTNERSPARTNERSTHANK YOUWed like to thank everyone who helped us reach 9,000+respondents,and create this report.Our Media Partners Arc,Intel,Kodluyoruz,Microsoft,Ne

19、tdata,Zup,and so many others.6ABOUT THE REPORT SERIESSlashDatas Developer Nation survey is the leading research programme on mobile,desktop,industrial IoT,consumer electronics,embedded,third-party app ecosystems,cloud,web,game,AR/VR and machine learning developers,as well as data scientists,tracking

20、 developers experiences across platforms,technologies,programming languages,app and API categories,revenue models,segments,and regions.The 27th edition of the Developer Nation survey reached more than 9,000 respondents from 130+countries around the world.This research report delves into key develope

21、r trends for Q3 2024 and beyond.In this report,we explore the use of AI chatbots for problem-solving by professionals,hobbyists,and students involved in technology projects1.More specifically,we look at how much the adoption of AI chatbots increased between Q1 and Q3 2024 across different role types

22、,experience levels,and geographic regions.We hope you will enjoy this report and find the insights useful!If you have any questions or comments,or are looking for additional data,you can get in touch with Stathis Georgakopoulos,Product Marketing Manager for SlashData at stathisslashdata.co.You can d

23、ownload and access this report and more free resources at slashdata.co/free-resources Alex,Ali,lvaro,Anastasia-Jugersa,Ayan,Barbora,Berkol,Bleona,Brayton,David,Eleni-Christina,Evgenia,Giannis,Jed,Klaudia,Konstantinos,Lampis,Lazaros,Lefteris,Liam,Maria,Mt,Mina,Moschoula,Natasa,Nikita,Nurpari,Pearl,Ri

24、chard,Sarah,Stathis,Steve M.,Steve V.,and Vanessa at SlashData1By technology projects we mean any type of development project out of the ones we track in our Developer Nation survey,i.e.mobile,desktop,industrial IoT,consumer electronics,embedded,apps for 3rd-party platforms,cloud,web,game,AR/VR,data

25、 science,and machine learning projects7KEY INSIGHTS As of Q3 2024,45%of technology professionals,hobbyists,and students use AI chatbots for problem-solving.This is up from 40%in Q1 2024.The use of AI chatbots has increased more among non-professionals in the last six months,specifically from 39%to 4

26、4%among hobbyists and 41%to 46%among students.Among professionals,the share using AI chatbots has remained relatively stable(from 44%to 46%).People in non-technical roles are increasingly turning to AI chatbots for problem-solving,from 32%to 39%within six months.This is especially true for those in

27、the roles of product managers,marketing,and sales positions,surging from 24%to 38%.In six months,beginners in technology projects saw the highest growth in AI chatbot usage,from 35%to 42%.The use of AI chatbots has significantly increased in South America,going from 44%to 56%in six months.State of t

28、he Developer Nation Q3 2024|SlashData|Some rights reserved 8The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingIn the 27th edition of SlashDatas Developer Nation survey(Q1 2024),we analysed the use of AI chatbot answers(e.g.ChatGPT)for problem-solving among over 2,0

29、00 respondents.In this report,we draw data from SlashDatas two most recent global surveys(Q1 and Q3 2024)to explore how the adoption of AI chatbots has evolved over the past six months.AI chatbots have become increasingly important in todays digital landscape,serving as important tools for businesse

30、s and individuals alike.They provide quick customer support,streamline communication,and assist in problem-solving across various industries.Their flexibility in handling diverse queries,coupled with their scalability,makes them particularly valuable for optimising customer engagement and operationa

31、l efficiency.State of the Developer Nation Q3 2024|SlashData|Some rights reserved 9The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingWhat are AI chatbots primarily What are AI chatbots primarily used for?used for?According to SlashDatas surveys,a considerable share

32、 of those involved in technology projects have adopted AI chatbots across all major use cases.While adoption rates for learning and research remained stable in the last six months,the percentage of those using AI chatbots for problem-solving increased from 40%in Q1 2024 to 45%in Q3 2024.This could p

33、oint to the fact that as AI chatbots become increasingly sophisticated in handling complex queries and providing accurate,timely solutions,they become more attractive to professionals,hobbyists,and students working on technology projects.OF TECHNOLOGY PROFESSIONALS,HOBBYISTS,AND STUDENTS USE AI CHAT

34、BOTS FOR PROBLEM-SOLVING AS OF Q3 20244545%State of the Developer Nation Q3 2024|SlashData|Some rights reserved 10The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingThe use of AI chatbots for problem-solving particularly allows those involved in technology projects

35、to quickly access solutions to coding issues and technical challenges without extensive manual searching.Given this and the substantial increase in the use of AI chatbots for problem-solving,we will focus our further analysis on this specific use case.Use of AI chatbots by use caseQuestion wording:W

36、hat kinds of content do you prefer to consume in each of the following cases?%*of professionals,hobbyists,and students involved in technology projects by use case(n=4,755 Q1 2024|n=4,464 Q3 2024)40%34%27%45%35%29%Problem-solvingLearningResearchQ1 2024Q3 2024State of the Developer Nation Q3 2024|Slas

37、hData|Some rights reserved 11The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingHow does the use of AI chatbots differ based on professional status and role?As we saw in the previous section,the overall use of AI chatbots for problem-solving has increased in the las

38、t six months.But has this been the case for all individuals working on technology projects,or were there certain groups of people who gravitated towards AI chatbots more?Well,while similar percentages of respondents across all groups rely on AI chatbots for problem-solving,there was a notable increa

39、se among non-professionals,i.e.hobbyists and students.There was a higher increase in the use of AI chatbots among non-professionals in the last six months compared to professionalsState of the Developer Nation Q3 2024|SlashData|Some rights reserved 12The rise of AI chatbots for problemThe rise of AI

40、 chatbots for problem-solvingsolvingAmong hobbyists,the usage of AI chatbots for problem-solving increased from 39%in Q1 2024 to 44%in Q3 2023.This increase might be attributed to the accessibility and availability of AI chatbot platforms,allowing non-professionals to experiment and solve problems q

41、uickly.Similarly,usage by students increased from 41%to 46%,reflecting the growing integration of AI tools in educational settings,where chatbots are used for tutoring,research,and as supplementary resources.Use of AI chatbots for problem solving by type of involvement in technology projectsQuestion

42、 wording:What kinds of content do you prefer to consume in each of the following cases?|Problem solving%of professionals,hobbyists,and students involved in technology projects by type of involvement in technology projects(n=2,511 Q1 2024|n=2,528 Q3 2024)44%39%41%46%44%46%ProfessionalHobbyistStudentQ

43、1 2024Q3 2024State of the Developer Nation Q3 2024|SlashData|Some rights reserved 13The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingData/business analysts increased their usage from 38%in Q1 2024 to 47%in Q3 2024,likely due to the rising complexity of data analyt

44、ics tasks and the need for quicker access to insights.AI chatbots assist these analysts by automating data queries,generating reports,and offering predictive analysis,enabling them to make faster,more informed decisions.Similarly,embedded software developers/engineers saw an increase from 43%to 50%,

45、driven by the growing sophistication of embedded systems,where chatbots are used to streamline debugging processes,troubleshoot hardware-software interactions,and provide instant feedback during development.As AI chatbots continue to evolve,their adoption has become particularly prominent among thos

46、e in technical roles,who rely on them for problem-solving and workflow efficiency.Our analysis shows that this group has steadily increased its use of AI chatbots,rising from 47%in Q1 2024 to 51%in Q3 2024.This trend highlights the growing integration of AI in technical environments,where chatbots a

47、re increasingly utilised for tasks like coding assistance,debugging,and technical support,further embedding AI into everyday workflows.Do you need data for AI project beyond chatbots?Contact us.State of the Developer Nation Q3 2024|SlashData|Some rights reserved 14The rise of AI chatbots for problem

48、The rise of AI chatbots for problem-solvingsolvingIn addition,43%of respondents involved in IT operations use AI chatbots as of Q3 2024,up from 38%in Q1 2024.This suggests that chatbots are becoming valuable tools in maintaining and managing IT infrastructure,specifically in roles such as DevOps,whe

49、re automated solutions are increasingly sought after.For DevOps engineers/specialists,the usage of AI chatbots increased from 41%in Q1 2024 to 50%in Q3 2024.OF RESPONDENTS WORKING IN IT OPERATIONS USE AI CHATBOTS FOR PROBLEM-SOLVING4343%State of the Developer Nation Q3 2024|SlashData|Some rights res

50、erved 15The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingThose holding non-technical roles showed a notable increase in their usage of AI chatbots over the past six months,from 32%to 39%.This suggests that AI chatbots are becoming more intuitive and user-friendly,

51、broadening their appeal beyond purely technical circles.In particular,there was a significant increase in usage among product managers and those in marketing and sales positions,rising from 24%in Q1 2024 to 38%in Q3 2024.This growth is likely driven by the increasing use of generative AI for content

52、 creation,enabling these teams to produce marketing materials,customer communications,and sales content more efficiently.Please refer to the appendix for an overview of specific roles within each of the following categories.People in non-technical roles are increasingly turning to AI chatbots for pr

53、oblem-solving,as opposed to other rolesState of the Developer Nation Q3 2024|SlashData|Some rights reserved 16The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingQuestion wording:What kinds of content do you prefer to consume in each of the following cases?|Problem s

54、olving%of professionals,hobbyists,and students involved in technology projects by role type(n=2,511 Q1 2024|n=2,528 Q3 2024)Use of AI chatbots for problem solving by role type47%41%38%32%31%51%43%43%39%38%Technical developer rolesManagement rolesIT operations rolesNon-technical rolesOther rolesQ1 20

55、24Q3 2024State of the Developer Nation Q3 2024|SlashData|Some rights reserved 17The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingHow does the usage of AI chatbots differ based on experience in technology projects?As AI chatbots become integral to modern developmen

56、t processes,we observed a significant rise in their adoption among beginners in technology projects.As of Q3 2024,42%of those with less than three years of experience in such projects turn to AI chatbots to solve their problems,up from 35%in Q1 2024.This trend indicates that those new to the tech in

57、dustry are quickly integrating AI tools into their workflows,likely because AI chatbots provide immediate guidance and assistance,helping them troubleshoot issues and learn new concepts as they navigate early development projects.Beginners saw the highest growth in AI chatbot usage,increasing from 3

58、5%to 42%over the past six monthsState of the Developer Nation Q3 2024|SlashData|Some rights reserved 18The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingFor those with three or more years of experience,the usage of AI chatbots for problem-solving has remained relat

59、ively stable over the past six months.As of Q3 2024,usage peaks among those with over a decade of experience at 47%,similar to 45%in Q1.This steady adoption among seasoned developers suggests that they not only recognise the value AI chatbots bring to complex problem-solving but also possess the exp

60、erience to ask more precise questions,enabling them to obtain highly targeted and efficient solutions to their challenges.Use of AI chatbots for problem solving by experience in software developmentQuestion wording:What kinds of content do you prefer to consume in each of the following cases?|Proble

61、m solving%of professionals,hobbyists,and students involved in technology projects by experience level(n=2,511 Q1 2024|n=2,528 Q3 2024)35%42%45%42%45%47%3 years3-10 years11+yearsQ1 2024Q3 2024State of the Developer Nation Q3 2024|SlashData|Some rights reserved 19The rise of AI chatbots for problemThe

62、 rise of AI chatbots for problem-solvingsolvingIn Western Europe,there was a noticeable increase in adoption,growing from 47%in Q1 2024 to 53%in Q3 2024.This growth may be attributed to the regions strong focus on digital transformation initiatives and the widespread integration of AI technologies i

63、n business operations.Similarly,the Middle East saw a significant increase,from 41%to 47%,reflecting a growing embrace of AI chatbots in this region.Another notable increase is observed in North America,from 39%to 45%.How does the usage of AI chatbots differ based on geographic location?Finally,geog

64、raphical analysis reveals regional variances in AI chatbot adoption for problem-solving.South America experienced the most substantial growth,with adoption jumping from 44%to 56%,highlighting a strong upward trend.The surge could be due to increasing investment in digital transformation across the c

65、ontinent,with AI chatbots playing a crucial role in customer service and operational efficiency.In addition,half of the individuals involved in technology projects in South America have less than three years of experience in software development,and as noted earlier,they are progressively turning to

66、 AI chatbots for problem-solving.State of the Developer Nation Q3 2024|SlashData|Some rights reserved 20The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingWe also see a positive trend for East Asia,with 35%of respondents using AI for problem-solving as of Q3 2024,up

67、 from 30%in Q1 2024.In addition,Eastern Europe maintained high levels of adoption across Q1 2024(57%)and Q3 2024(56%),suggesting stable usage.This stability suggests that AI chatbots are already well-integrated into these regions tech ecosystems,with little room for rapid growth.The use of AI chatbo

68、ts for problem-solving has substantially increased in South America in the past six monthsState of the Developer Nation Q3 2024|SlashData|Some rights reserved 21The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolvingQuestion wording:What kinds of content do you prefer t

69、o consume in each of the following cases?I Problem solving%of professionals,hobbyists,and students involved in technology projects by region(n=2,511 Q1 2024|n=2,528 Q3 2024)Use of AI chatbots for problem solving by region57%44%47%41%39%40%30%30%56%56%53%47%45%41%35%26%Eastern EuropeSouth AmericaWest

70、ern EuropeMiddle East&AfricaNorth AmericaSouth AsiaEast Asia ex.Greater ChinaGreater China areaQ1 2024Q3 2024I Problem solving22APPENDIXAPPENDIXState of the Developer Nation Q3 2024|SlashData|Some rights reserved 23The rise of AI chatbots for problemThe rise of AI chatbots for problem-solvingsolving

71、Technical developer rolesNon-technical rolesManagement rolesIT operations rolesProgrammer/software developer(incl.frontend,backend,full-stack)UI designerTech/engineering team leadDatabase administratorData scientist,machine learning developer,or data engineerUX designerCIO/CTO/IT managerSystem admin

72、istratorArchitect(system/solution/software/app)Product manager/marketing/salesCEO/managementDevOps engineer/specialistEmbedded software developer/engineerArtist/creatorSite reliability engineer(SRE)Hardware engineerProduct designerNetwork security engineerData/business analystGame designerTest/QA de

73、veloper or engineerComputer or data science studentProfessor/teacher/trainerResearcherTechnical writerOther student(non-computer/data science)METHODOLOGYThe Developer Nation SurveyDeveloper Nation 27th edition reached 9,000+respondents around the world.As such,the Developer Nation series continues t

74、o be the most comprehensive independent research on mobile,desktop,Industrial IoT,consumer electronics,3rd party app ecosystems,cloud,web,game,AR/VR and machine learning developers and data scientists combined ever conducted.The report is based on the large-scale online developer survey designed,pro

75、duced and carried out by SlashDataover a period of eight weeks between June and July 2024.Respondents to the online survey came from 130+countries,including the US,China,India,Israel and the UK.The geographic reach of this survey is reflective of the global scale of the developer economy.The online

76、survey was translated into nine languages in addition to English(Simplified Chinese,Traditional Chinese,French,Spanish,Portuguese,Vietnamese,Russian,Japanese,Korean)and promoted by more than 70 leading community and media partners within the software development industry.Our respondents came from a

77、broad age spectrum,from young coders and creators who are under 18 to the seasoned ones over 55.Excluding those who would rather not answer about their age,the age profile of our respondents is shown below.Respondents were asked which types of projects they are involved in out of the 13 under study,

78、namely web apps/SaaS,mobile apps,desktop apps,backend services,augmented reality,virtual reality,games,data science,machine learning/artificial intelligence,industrial IoT,consumer electronics devices,embedded software,and apps/extensions for third-party app ecosystems.They also told us if they are

79、into their areas of involvement as professionals,hobbyists,or students-or as any combination of these-and how many years of experience they have in each.To eliminate the effect of regional sampling biases,we weighted the regional distribution across nine regions by a factor that was determined by th

80、e regional distribution and growth trends identified in our Developer Nation research.To minimise other important sampling biases across our outreach channels,we weighted the responses to derive a representative distribution for technologies used,and developer segments.Using ensemble modeling method

81、s,we derived a weighted distribution based on data from independent,representative channels,excluding the channels of our research partners to eliminate sampling bias due to respondents recruited via these channels.Each of the separate branches:Industrial IoT,consumer electronics,3rd party app ecosystems,cloud,embedded,augmented and virtual reality were weighted independently and then combined.For more information on our methodology please visit https:/www.slashdata.co/methodology.