市場調查報告書
商品編碼
1562461
資料貨幣化市場規模、佔有率、成長分析、按組件、按資料類型、按業務功能、按部署類型、按組織規模、按行業、按地區 - 行業預測,2024-2031 年Data Monetization Market Size, Share, Growth Analysis, By Component, By Data Type, By Business Function, By Deployment Type, By Organization Size, By Industry Vertical, By Region - Industry Forecast 2024-2031 |
2022年全球資料貨幣化市場規模為68億美元,從2023年的75.3億美元成長到2031年的169.8億美元,在預測期間(2024-2031年)預計複合年成長率為10.70%。
資料貨幣化涉及將大量未使用或非結構化的企業資料轉換為可操作的見解,並利用它們來獲得經濟利益或服務交換。此流程可利用分析平台將非結構化資料轉換為適合公司需求的有價值訊息,從而幫助公司降低營運成本並增加收益。從根本上說,它是為了釋放組織資料資產中嵌入的真正財務價值。隨著組織意識到數據貨幣化策略的潛在好處,資料貨幣化策略的採用正在增加。隨著人們對資料所提供的策略價值的認知不斷增強,企業越來越注重利用資料創造新的成長和商機。這種向資料主導決策的轉變凸顯了分析的重要性,它將原始資料轉化為重大的財務和營運效益。
Global Data Monetization Market size was valued at USD 6.8 billion in 2022 and is poised to grow from USD 7.53 billion in 2023 to USD 16.98 billion by 2031, growing at a CAGR of 10.70% during the forecast period (2024-2031).
Data monetization involves transforming vast amounts of unused or unstructured enterprise data into actionable insights and leveraging it for financial gain or service exchange. This process helps businesses lower operational costs and boost revenue by utilizing analytics platforms that convert unstructured data into valuable information tailored to their needs. Essentially, it is about unlocking the substantial financial value embedded in an organization's data assets. The adoption of data monetization strategies has increased as organizations become more aware of their potential benefits. Businesses are increasingly focusing on harnessing data to create new growth and revenue opportunities, driven by a growing recognition of the strategic value that data can offer. This shift towards data-driven decision-making highlights the importance of analytics in transforming raw data into significant financial and operational advantages.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Data Monetization market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data.
Global Data Monetization Market Segmental Analysis
Global Data Monetization Market is segmented by component, Data Type, Business Function, Deployment Type, Organization Size, Industry Vertical, and region. Based on component, the market is segmented into Tools, and Services. Based on Data Type, the market is segmented into Customer Data, Product Data, Financial Data, Supplier Data. Based on Business Function, the market is segmented into Sales and Marketing, Supply Chain Management, Operations, Finance, and Others. Based on Deployment Type, the market is segmented into Cloud, and On-premises. Based on Organization Size, the market is segmented into Large Enterprises, and Small and Medium-sized Enterprises. Based on Industry Vertical, the market is segmented into Banking, Financial Services, and Insurance, Telecommunication, Consumer Goods and Retail, Information Technology, Healthcare, Manufacturing, Media and Entertainment, Transportation and Logistics, Energy and Utilities, and Others. Based on region, the market is segmented into North America, Europe, Asia Pacific, Latin America and Middle East & and Africa.
Drivers of the Global Data Monetization Market
Data plays a crucial role in enhancing sales and marketing performance by leveraging historical sales reports to apply predictive business intelligence. This approach provides access to valuable customer data, boosting operational efficiency and strengthening customer relationships. With the rise of digital technologies, vast amounts of data, including consumer demographics, product preferences, and sales metrics, are being collected. Looking ahead, the widespread adoption of 5G technology is expected to significantly impact data utilization. 5G offers greater computing power and generates substantial amounts of data, which can be harnessed to derive valuable insights. This technological advancement will further refine how businesses analyze and utilize data to drive strategic decisions and optimize performance.
Restraints in the Global Data Monetization Market
Companies are increasingly acknowledging the value of their data, leading to a growing trend of data monetization across various industries. This shift is expected to open up new revenue streams and create additional business opportunities. One crucial aspect of effective data monetization is ensuring high data quality. Reliable and accurate data enables organizations to make informed and strategic decisions. However, data sharing between industries and integrating data products with existing systems can sometimes compromise data quality. Maintaining the integrity of data throughout these processes is essential to ensuring that the insights generated are both accurate and actionable. As companies explore data monetization, they must prioritize data quality to fully realize the potential benefits.
Market Trends of the Global Data Monetization Market
Businesses are poised to unlock significant value from the large volumes of unstructured data they generate. By leveraging data monetization, companies can convert raw or aggregated data from various sources into actionable insights, which enhances their decision-making processes. The surge in data quantity, diversity, and velocity has accelerated the adoption of data monetization strategies, as organizations recognize the potential for turning this data into profitable opportunities.