2025年塑造市场研究行业的五大趋势研究报告

Picture this:It’s 2025. But AI isn’t the onlymover and shaker for2025, as synthetic data,ethnography, and social You’re logging on foryour insight managerjob. Your AI assistant isgiving you a briefingon your schedule forthe day, the results of This futuristic vision ofwork is now a reality, andas we head into anotheryear defined by rapidly Ready to step into 2025? Let’sdive into the 5 trends that areshaping tomorrow’s insights. AI Meetyour newteammate In a world where marketsturn on a dime andconsumer sentimentswings back and forthwith little warning, it’s ourjob to shorten the interval project launches, cost andtime-efficient research, andinsight at your fingertipsin minutes. By harnessingOpenAI tech and apartnership with Microsoft,Bulbshare has created afast track to insight. Rather BulbshareAI is opening thedoors to a future of rapid 1. KEEPING IT BRIEF In 2025, AI isn’t the intern anymore -it’s your right-hand assistant. Havingpassed its probation in 2024, it’s nowa fully fledged research assistant, anextension of your team. In fact, over ¾ of In the early days of market research, there waslittle data. It was gathered through surveys andquestionnaires then manually entered into aspreadsheet. In the information age, data started In recent years, we’ve seen clients wrestle withseveral fundamental problems to do with theinformation they own. Firstly, data in multinationalcompanies is often stored on servers in separate BulbshareAIoffers a solution to all these fumbles with one convenient datawarehouse equipped with a natural language,conversational interface which is easy to use. Userscan type any burning question they have then be of insight teams believeAI will make them more If pictures speak a thousandwords, then video speaks amillion. In a world dizzy withsocial media, where consumersare more comfortable oncamera than ever, and wherevideo dominates the web, time on a wide range of researchand analysis tasks.[Insight Platforms] of business stakeholderspredict that AI willincrease demand forresearch and insights believe AI will take overdata analysis within thenext ten years. But as insights take on a newform, researchers are metwith the challenges of siftingthrough hours of video content, 3. RICH MEDIA DESERVES RICH INSIGHT of marketeers said AI isnot being used in theirdepartment. of researchers fear fortheir job safety in thewake of AI. Now, with BulbshareAI, you cangroup and analyse consumervideos for insights in no time.Whether it’s for transcription,translation, or sentimentanalysis, Bulbshare’s video When comparing data analytics skills,63% said AI performs better, 22% saidmarketers perform better, and 15%said about the same. Discover BulbshareAI via this quick Synthetic Digitaltwinsfor nicheaudiences #1 Mitigatingprivacy and Data has become theworld’s most valuablecurrency. Brands aremore information-hungry Ever tried torecruit skydivinggrandmothers fora focus group?No? Well, if youdid, synthetic data But a solution isemerging. Gartnersuggests that 70% of dataused to train models will By simulating behaviorsand preferences throughAI personas and digitaltwins, synthetic data By creating anonymized,AI-generated datasets,brands can traintheir models without Speedand agility#3 Recruitingniche#2 Synthetic data operateson warp speed. Forgetwaiting weeks forparticipant recruitment When traditionalrecruitment fails - say,for a study on veganCEOs in their 70s -synthetic data steps up.By modeling behaviorsand profiles that arechallenging to recruit in This makes synthetic dataa game-changer in today’sfast-paced markets,where timelines are tight, Beatingparticipant#4 Yawn! Is that 20 questionsdown, and another 15to go? Humans aren’tmachines. They get bored.They lie. They leave typos. Instead of overburdeningyour target demographic,you can simulatetheir behaviors and But remember, synthetic data is here toenhance, not replace, real-world insights.Think of it as your research sidekick—greatat expanding your reach, but still needing In fact, it facessome drawbacks… See how synthetic responsescompare to organic responses when Risk ofoverreliance#2 Depth and#1 “If M&S own label sushi came and was a realperson, what type of person would they be?“People who look for healthy options but don’twant to compromise on taste. They enjoy an While synthetic data canmodel behaviors withastonishing accuracy,it often lacks the depthand emotional contextthat real-world insightsprovide. AI-generatedpersonas might replicate Relying too heavilyon synthetic datacould lead to researchmyopia. Without the “M&S Own Label Sushi, huh? Interesting. I’d say it’dbe a person who’s meticulous and detail-oriented.They’d have a minimalist style, sleek and modern.They’d value tradition but also embrace innovation.They’d be a bit reserved, but once you get to knowthem, there’s a depth of character and complexity. Watch oursynthetic datawebinar with Greencorehereto discover what The data Fr