数据注释行业的经济影响（英）

DECEMBER2025 TABLE OF CONTENTS Executive summary...............................................................................................................................21. Introduction..........................................................................................................................................52. How data annotation helps power today’s AI systems.....................................................62.1 The role of data in AI production..............................................................................................62.2 The importance of humans in creating good quality data.............................................82.3 The data annotation industry..................................................................................................102.4 Data annotation as a pathway to AI upskilling................................................................133. The economic impact of the data annotation industry in the US...............................143.1 The economic footprint of the data annotation industry..............................................153.2 The economic impact of the data annotation industry in 2030................................174. Annotators in the AI data industry...........................................................................................18 EXECUTIVE SUMMARY Dataisacriticalfoundation of the artificial intelligence (AI) industry.High-quality datasets arefundamental to the leading AI modelsthatarereshaping economies and societies.As global demand for AIincreases, $5.7bn Total contribution toUS GDPin 2024 THE DATA ANNOTATION INDUSTRYIN THE USISA RAPIDLY $1.2bn The US market size of the data annotation is estimated to be between$2.7 billion and $5.0 billion in 2024.By2030, the market is expected to Taxcontributionatthe federal, state, Weestimate that thedataannotationindustry’s total contributionto theUS GDPwas$5.7 billionin 2024, which is comparable to establishedsectors likecomputer storage device manufacturing ($4.2 billion) and $2.1 billion was contributed through the direct channel (this includes theindustry’s operations).The remaining $3.6 billion was contributedthrough the indirect and induced channels, which consist of spending earning The data annotation industrydirectly supportedearningopportunitiesfornearly200,000 peopleandan additional9,000full-timejobs.The Looking forward,we forecast thattheindustry’stotaleconomic contributionwillmore thantripleto$19.2 billionby2030,4consistent withaverageannualgrowth of25%. UNDERSTANDING THE DATAANNOTATIONWORKFORCE Despite theAIindustry’s growing importance, relatively little is knownabout thepeople whounderpin it—the dataannotatorswho create andvalidate the data inputs that shapeAI models.Thislack of visibilitycan To address this evidence gap, we conducteda survey tounderstand theprofile, motivations, and aspirations ofdata annotatorsin the US. The dataannotationworkforce ishighlyeducated,relatively young,andoften manages •The vast majority (84%)of respondentsheldat least a bachelor’s degree,which isdoublethe share in the wider US workforce.•Of therespondents,65%wereunder the age offorty-four,which compares to57%inthegeneralUS workforce. Roles in data annotation provide flexible income opportunities that supportpersonal, •Incomewasa keymotivation forannotators—94% reported thatincome drew them tothe role.Data annotatorsusedtheir earnings to strengthen their financial position,coverthe risingcost ofliving, reach financial milestones, and pay off debt.•Flexibilitywasanequallyimportantmotivating factorfor 91% of the respondents.Respondentsvaluedthe ability to fit work around their lives, whetherthat wasto balanceprofessional and academic commitments, be more available for their families, or dedicatetime for personal enrichment. •Different groups emphasizedcertain aspects of flexibilityto a larger extent: studentsfor examplevaluedacademicandworklifebalance, femaleannotatorsandcaregivers 91% Of respondentscitedflexibilityasbeinga motivating •Manyannotatorsviewedtheirrole as a stepping-stone to future professional growth.Nearly threeinfourrespondents indicated that theyhoped to apply the skills acquired •While themost prominent aspiration amongannotatorswas to transition into AI-or tech-related roles(as reported by50% of respondents),annotatorsalsohoped to seekjobs inotherindustries(20% of respondents)andexpressed ambitions topursue entrepreneurial EMPOWERING DATAANNOTATORSAND DRIVING THE FUTURE OF AI Our surveyhighlightsthat dataannotationoffersaflexiblesource ofincome, whilealsoaccommodating the diverse professional, personalandfamily commitments,and aspirationsofannotators.In doing so, the dataannotationindustry fuelscurrentAI development,whilehelping to Understanding the needs of this workforce—particularlythe role offlexibility—isessential tosustainingthe growth of the AIeconomy,andensuringthesupply oftalent remains widely available.By recognizin