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市场调查报告书
商品编码
1938793
资料仲介市场 - 全球产业规模、份额、趋势、机会、预测(按资料类型、定价模式、最终用户产业、地区和竞争格局划分,2021-2031 年)Data Broker Market - Global Industry Size, Share, Trends, Opportunity, and Forecast, By Data Type, By Pricing Model, By End Use Sector, By Region & Competition, 2021-2031F |
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全球数据仲介市场预计将从 2025 年的 2,603.9 亿美元成长到 2031 年的 3,606.7 亿美元,复合年增长率为 5.58%。
该行业由专门机构组成,这些机构从各种公共和私人资讯来源收集和提炼消费者及商业数据,并将其授权给第三方使用。此市场的成长主要受以下因素驱动:精准行销需求的不断成长、金融服务业对先进诈欺侦测和风险缓解的需求,以及身分验证需求的日益增长。持续的企业媒体投资进一步支撑了这一上升趋势。例如,世界广告商联合会 (WFA) 指出,60% 的全球主要广告商计划在 2024 年增加媒体预算,此举直接推动了对精细化数据的需求,以最大限度地提高支出效率。
| 市场概览 | |
|---|---|
| 预测期 | 2027-2031 |
| 市场规模:2025年 | 2603.9亿美元 |
| 市场规模:2031年 | 3606.7亿美元 |
| 复合年增长率:2026-2031年 | 5.58% |
| 成长最快的细分市场 | 非结构化数据 |
| 最大的市场 | 北美洲 |
然而,由于全球范围内资料隐私法规的加强和监管力度的加大,市场面临许多挑战。诸如GDPR和各国资料保护法等严格法律的实施,以及第三方追踪cookie的技术淘汰,正在颠覆传统的资料收集管道。这种不断变化的法规环境迫使资料仲介承担日益增长的遵循成本,并重新思考其资料获取策略,从而对现有业务框架的无缝扩充性构成重大障碍。
个人化行销和定向广告的扩张是全球数据仲介市场发展的关键驱动力。随着广告主将重心从群发通讯转向精准定位,他们越来越依赖详尽的第三方资料集来丰富客户画像。这一转变的背后是大量资金涌入数位广告生态系统。根据互动广告局 (IAB) 于 2025 年 4 月发布的《网路广告收入报告》,到 2024 年,美国网路广告收入将达到 2,586 亿美元,比上年增长 14.9%。因此,资料仲介正在扩展其身分解析和受众细分能力,以满足对可寻址媒体日益增长的需求。
同时,对诈欺侦测和风险管理解决方案日益增长的需求正从根本上影响着市场成长。随着数位交易生态系统的扩展,企业面临多重财务风险,因此需要资料聚合商提供的先进身分验证服务。根据 LexisNexis Risk Solutions 于 2025 年发布的《诈骗真实成本研究》,北美市场的企业目前平均每因诈骗损失 1 美元,就要承担 4.60 美元的成本,凸显了预测性风险数据的重要性。对外部资料来源日益增长的营运依赖正在推动特定行业的扩张。例如,LiveRamp 在 2025 年 5 月报告称,其 2025 财年全年营收成长 13% 至 7.46 亿美元,这表明数据整合和身分连接对于推动整个产业发展至关重要。
全球严格的资料隐私法规和日益严格的监管审查是全球资料仲介市场扩张的主要障碍。这些严格的法律标准透过强制执行严格的同意通讯协定和限制高品质追踪讯号的使用,阻碍了传统的第三方资料聚合和授权模式。随着GDPR等法规和各种地方法律限制消费者资讯的流通,资料仲介面临合规资料来源日益减少的困境。这种短缺迫使企业将大量资源投入合规基础设施而非创新,阻碍了它们有效获取新数据资产并将其货币化的能力。
这种监管压力直接阻碍了扩充性,因为它要求企业进行根本性的营运调整,而这些调整的影响远不止财务方面。合规负担要求企业从根本上改变资料收集和处理方式,这往往会扰乱现有的工作流程,并阻碍市场扩张。根据互动广告局 (IAB) 预测,到 2024 年,82% 的广告和资料决策者表示,其所在机构的组织结构和组成将直接受到隐私法规和使用者追踪讯号减少的影响。这种结构性变化限制了产业的灵活性,并限制了资料仲介赖以维持收入成长的无缝扩充性。
生成式人工智慧在自动化资料增强方面的应用,从根本上改变了资料仲介处理和变现资讯的方式。随着传统追踪讯号的减少,仲介越来越多地利用大规模语言模型来合成填补资料空白,并在遵守隐私法律的前提下,完善服务不足的消费者画像。这项技术变革开闢了新的收入管道,专注于训练高级模型所需的高品质非结构化资料输入,从而有效地将资料仲介定位为人工智慧经济中的关键基础设施。根据亚马逊公司于2025年2月发布的2024年度报告,AWS的营收达到1,080亿美元,较去年同期成长19%。这一成长主要归功于企业对生成式人工智慧服务的快速采用,这些服务高度依赖这些经过增强的外部资料流进行训练和推理。
同时,从直接销售转向基于云端的数据市场正在重塑行业的流通结构。仲介不再采用静态文件交货的方式,而是将即时资料集上架到 Snowflake 和 AWS Data Exchange 等平台上,让客户无需进行实体传输即可即时查询资料。这种方式减少了营运摩擦,并透过促进跨组织边界的无缝资料共用,满足了现代企业对敏捷性的需求。根据 Snowflake 公司 2025 年 3 月发布的年度报告(10-K 表格),其 2025 年的年收入成长了 29%,达到 36 亿美元。这一成长主要得益于其云端资料平台作为企业交易和交换第三方资料资产的场所而日益普及。
The Global Data Broker Market is projected to expand from a valuation of USD 260.39 Billion in 2025 to USD 360.67 Billion by 2031, registering a CAGR of 5.58%. This sector comprises organizations dedicated to gathering, refining, and licensing consumer and commercial data from various public and private sources for third-party use. Growth in this market is primarily propelled by the rising need for precision marketing, the demand for sophisticated fraud detection and risk mitigation within financial services, and the increasing necessity for identity verification. This upward trajectory is further underpinned by sustained corporate media investment; for example, the World Federation of Advertisers noted in 2024 that 60 percent of major global advertisers intended to boost their media budgets, a move that directly fuels the demand for granular data to maximize the efficiency of these expenditures.
| Market Overview | |
|---|---|
| Forecast Period | 2027-2031 |
| Market Size 2025 | USD 260.39 Billion |
| Market Size 2031 | USD 360.67 Billion |
| CAGR 2026-2031 | 5.58% |
| Fastest Growing Segment | Unstructured Data |
| Largest Market | North America |
Conversely, the market encounters substantial obstacles due to tightening data privacy regulations and heightened global regulatory oversight. The enforcement of rigorous laws, such as the GDPR and local data protection statutes, alongside the technological phase-out of third-party tracking cookies, is disrupting conventional data collection channels. This evolving regulatory environment compels data brokers to absorb increased compliance expenses and overhaul their data acquisition strategies, posing a considerable barrier to the seamless scalability of their established business frameworks.
Market Driver
The escalation of personalized marketing and targeted advertising initiatives acts as a pivotal driver for the Global Data Broker Market. As advertisers shift focus from mass messaging to precise targeting, there is an intensified reliance on detailed third-party datasets to enhance proprietary customer profiles. This shift is evidenced by the significant capital entering digital advertising ecosystems; the Interactive Advertising Bureau (IAB) reported in its April 2025 'Internet Advertising Revenue Report' that internet advertising revenues in the United States hit $258.6 billion in 2024, representing a 14.9 percent year-over-year rise. Accordingly, data brokers are expanding their identity resolution and audience segmentation capacities to address this growing demand for addressable media.
Simultaneously, the growing need for fraud detection and risk management solutions is fundamentally influencing market growth. As digital transaction ecosystems widen, businesses encounter compounded financial risks that require advanced identity verification services furnished by data aggregators. According to the 'True Cost of Fraud Study' released by LexisNexis Risk Solutions in 2025, merchants in the North American market now face an average cost of $4.60 for every dollar lost to fraud, highlighting the essential nature of predictive risk data. This increased operational dependence on external data sources is driving tangible sector expansion; for instance, LiveRamp reported in May 2025 that its total revenue grew by 13 percent to $746 million for fiscal year 2025, illustrating the broader industry momentum fueled by data collaboration and identity connectivity requirements.
Market Challenge
Stringent data privacy frameworks and escalating global regulatory scrutiny represent a major hurdle to the Global Data Broker Market's expansion. These exacting legal standards disrupt the conventional model of aggregating and licensing third-party data by mandating strict consent protocols and curtailing the availability of high-quality tracking signals. As regulations such as the GDPR and various local acts limit the circulation of accessible consumer information, data brokers encounter a diminishing supply of compliant data sources. This shortage compels firms to allocate substantial resources toward compliance infrastructure instead of innovation, thereby retarding their capacity to effectively acquire and monetize new data assets.
This regulatory pressure directly hinders scalability by requiring profound operational adjustments that exceed mere financial implications. The burden of compliance necessitates a foundational transformation in how organizations gather and process data, frequently interrupting established workflows and stalling market expansion initiatives. According to the Interactive Advertising Bureau, in 2024, 82 percent of advertising and data decision-makers indicated that their organizational structure and composition had been directly affected by privacy legislation and the depletion of user-tracking signals. This structural disruption constrains the industry's agility, restricting the seamless scalability that data brokers depend on to sustain revenue growth.
Market Trends
The adoption of Generative AI for Automated Data Enrichment is radically transforming the way data brokers process and monetize information. With traditional tracking signals diminishing, brokers are increasingly utilizing large language models to synthetically bridge data gaps and enhance sparse consumer profiles while adhering to privacy laws. This technological evolution is establishing a fresh revenue channel focused on the high-quality, unstructured data inputs needed to train these sophisticated models, effectively positioning data brokers as vital infrastructure within the AI economy. According to Amazon.com, Inc.'s '2024 Annual Report' from February 2025, AWS revenue increased 19 percent year-over-year to $108 billion, a rise attributed significantly to the rapid corporate adoption of generative AI services that depend heavily on such enriched external data streams for training and inference.
Concurrently, the shift from Direct Sales to Cloud-Based Data Marketplaces is reorganizing the industry's distribution framework. Brokers are moving away from static file deliveries to list live datasets on platforms such as Snowflake and AWS Data Exchange, enabling clients to query data in real-time without the need for physical transfer. This approach lessens operational friction and meets the agility demands of modern enterprises by facilitating seamless data sharing across organizational borders. As noted in Snowflake Inc.'s 'Annual Form 10-K Report' from March 2025, the company recorded a 29 percent rise in annual revenue to $3.6 billion, fueled by the growing usage of its cloud data platform where organizations increasingly transact and exchange third-party data assets.
Report Scope
In this report, the Global Data Broker Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:
Company Profiles: Detailed analysis of the major companies present in the Global Data Broker Market.
Global Data Broker Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report: