![]() |
市場調查報告書
商品編碼
1938793
資料仲介市場 - 全球產業規模、佔有率、趨勢、機會、預測(按資料類型、定價模式、最終用戶產業、地區和競爭格局分類,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 |
||||||
全球數據仲介市場預計將從 2025 年的 2,603.9 億美元成長到 2031 年的 3,606.7 億美元,複合年成長率為 5.58%。
該行業由專門機構組成,這些機構從各種公共和私人資訊來源收集和提煉消費者及商業數據,並將其授權給第三方使用。此市場的成長主要受以下因素驅動:精準行銷需求的不斷成長、金融服務業對先進詐欺偵測和風險緩解的需求,以及身分驗證需求的日益成長。持續的企業媒體投資進一步支撐了這一上升趨勢。例如,世界廣告商聯合會 (WFA) 指出,60% 的全球主要廣告商計劃在 2024 年增加媒體預算,此舉直接推動了對精細化數據的需求,以最大限度地提高支出效率。
| 市場概覽 | |
|---|---|
| 預測期 | 2027-2031 |
| 市場規模:2025年 | 2603.9億美元 |
| 市場規模:2031年 | 3606.7億美元 |
| 複合年成長率:2026-2031年 | 5.58% |
| 成長最快的細分市場 | 非結構化數據 |
| 最大的市場 | 北美洲 |
然而,由於全球範圍內資料隱私法規的加強和監管力度的加大,市場面臨許多挑戰。諸如GDPR和各國資料保護法等嚴格法律的實施,以及第三方追蹤cookie的技術淘汰,正在顛覆傳統的資料收集管道。這種不斷變化的法規環境迫使資料仲介承擔日益成長的遵循成本,並重新思考其資料獲取策略,從而對現有業務框架的無縫擴充性構成重大障礙。
個人化行銷和定向廣告的擴張是全球數據仲介市場發展的關鍵驅動力。隨著廣告主將重心從群發通訊轉向精準定位,他們越來越依賴詳盡的第三方資料集來豐富客戶畫像。這一轉變的背後是大量資金湧入數位廣告生態系統。根據互動廣告局 (IAB) 於 2025 年 4 月發布的《網路廣告收入報告》,到 2024 年,美國網路廣告收入將達到 2,586 億美元,比上年成長 14.9%。因此,資料仲介正在擴展其身分解析和受眾細分能力,以滿足對可尋址媒體日益成長的需求。
同時,對詐欺偵測和風險管理解決方案日益成長的需求正從根本上影響著市場成長。隨著數位交易生態系統的擴展,企業面臨多重財務風險,因此需要資料聚合商提供的先進身分驗證服務。根據 LexisNexis Risk Solutions 於 2025 年發布的《詐騙真實成本研究》,北美市場的企業目前平均每因詐騙損失 1 美元,就要承擔 4.60 美元的成本,凸顯了預測性風險數據的重要性。對外部資料來源日益成長的營運依賴正在推動特定行業的擴張。例如,LiveRamp 在 2025 年 5 月報告稱,其 2025 會計年度全年營收成長 13% 至 7.46 億美元,這表明數據整合和身分連接對於推動整個產業發展至關重要。
全球嚴格的資料隱私法規和日益嚴格的監管審查是全球資料仲介市場擴張的主要障礙。這些嚴格的法律標準透過強制執行嚴格的同意通訊協定和限制高品質追蹤訊號的使用,阻礙了傳統的第三方資料聚合和授權模式。隨著GDPR等法規和各種地方法律限制消費者資訊的流通,資料仲介面臨合規資料來源日益減少的困境。這種短缺迫使企業將大量資源投入合規基礎設施而非創新,阻礙了它們有效獲取新數據資產並將其貨幣化的能力。
這種監管壓力直接阻礙了擴充性,因為它要求企業進行根本性的營運調整,而這些調整的影響遠不止財務方面。合規負擔要求企業從根本上改變資料收集和處理方式,這往往會擾亂現有的工作流程,並阻礙市場擴張。根據互動廣告局 (IAB) 預測,到 2024 年,82% 的廣告和資料決策者表示,其所在機構的組織結構和組成將直接受到隱私法規和使用者追蹤訊號減少的影響。這種結構性變化限制了產業的靈活性,並限制了資料仲介賴以維持收入成長的無縫擴充性。
生成式人工智慧在自動化資料增強方面的應用,從根本上改變了資料仲介處理和變現資訊的方式。隨著傳統追蹤訊號的減少,仲介擴大利用大規模語言模型來合成填補資料空白,並在遵守隱私法律的前提下,完善服務不足的消費者畫像。這項技術變革開闢了新的收入管道,專注於訓練高級模型所需的高品質非結構化資料輸入,從而有效地將資料仲介定位為人工智慧經濟中的關鍵基礎設施。根據亞馬遜公司於2025年2月發布的2024年度報告,AWS的營收達到1,080億美元,較去年同期成長19%。這一成長主要歸功於企業對生成式人工智慧服務的快速採用,這些服務高度依賴這些經過增強的外部資料流進行訓練和推理。
同時,從直接銷售轉向基於雲端的數據市場正在重塑行業的流通結構。仲介不再採用靜態文件交貨的方式,而是將即時資料集上架到 Snowflake 和 AWS Data Exchange 等平台上,讓客戶無需進行實體傳輸即可即時查詢資料。這種方式減少了營運摩擦,並透過促進跨組織邊界的無縫資料共用,滿足了現代企業對敏捷性的需求。根據 Snowflake 公司 2025 年 3 月發布的年度報告(10-K 表格),其 2025 年的年收入成長了 29%,達到 36 億美元。這一成長主要得益於其雲端資料平台作為企業交易和交換第三方資料資產的場所而日益普及。
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: