市场调查报告书
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1466450
资料收益市场:按组成部分、资料类型、业务功能、部署类型、组织规模、产业 - 2024-2030 年全球预测Data Monetization Market by Component (Services, Tools), Data Type (Customer Data, Financial Data, Product Data), Business Function, Deployment Type, Organization Size, Vertical - Global Forecast 2024-2030 |
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预计2023年资料收益市场规模为38.3亿美元,预计2024年将达45.8亿美元,2030年将达到135.5亿美元,复合年增长率为19.75%。
资料收益市场由个人、公司或实体组成的互连网络组成,营业单位创建、收集、共用、交易和利用资料作为有价值的资源或商品。资料量的增加和资料储存成本的降低正在促进市场的成长。对资料主导决策的日益关注以及高级分析和视觉化的快速增长也推动了资料收益市场的采用。然而,资料结构日益复杂可能限制资料收益解决方案的采用。此外,与资料收益解决方案相关的安全和隐私问题也是市场成长的一个令人担忧的因素。此外,资料收益解决方案的进步和新兴国家数位化的提高预计将为市场带来巨大的成长潜力。
主要市场统计 | |
---|---|
基准年[2023] | 38.3亿美元 |
预测年份 [2024] | 45.8亿美元 |
预测年份 [2030] | 135.5亿美元 |
复合年增长率(%) | 19.75% |
更多使用资料收益咨询服务来发展组件业务
在资料收益市场中,咨询服务主要提供专家指导、见解和解决方案,帮助企业优化资料产生、收集和使用。部署和整合服务将资料分析解决方案无缝整合到您现有的基础架构中,最终促进向资料主导的决策和业务的平稳过渡。支援和维护服务维护资料商业化战略的整体功能,确保不间断地存取正确的资料,并实现资料主导流程的最佳运行,从而提高业务效率和盈利。资料收益工具可以成为宝贵的资产,可以从原始资料中提取有形价值,并揭示影响商务策略和盈利的隐藏趋势。
资料类型利用产品资料的激增实现更好的资料收益
客户资料主要提供对现有和潜在客户的行为、偏好和属性的洞察。基于客户资料的详细分析可以推动个人化行销策略、改善客户体验并提高客户忠诚度和销售。财务资料代表公司进行的财务交易,由损益表、资产负债表、现金流量表、报税表等组成,用于评估经济趋势、检查过去的业绩并预测未来的结果。产品资料包括有关公司库存的信息,例如产品规格、价格、可用性和销售统计数据。供应商资料包括有关公司供应商及其绩效指标的资讯。对供应商资料进行有效分析和收益有助于建立更好的谈判地位,提高供应链效率并降低潜在风险。
业务职能:透过加强资料收益解决方案来改善销售和行销业务
财务部门透过分析历史财务资料并有效预测收益趋势、潜在风险和成长机会,使用资料收益进行预测预算和预测。在营运中,资料收益支援资料驱动驱动的决策和策略,以实现更好的资源分配、人才管理和成本效率。销售和行销团队正在使用资料收益来更好地定位广告、了解消费行为、预测购买模式、个人化宣传活动等。公司将供应链资料收益,以优化存量基准、资产利用率、提高路线效率、对库存不足和库存过剩情况进行预测分析,并减少不必要的支出。
部署类型:增强型云端部署模型
云端部署模型中的资料收益利用了云端资源的可扩展性、弹性和可负担性。组织可以实施计量收费模式,使他们能够根据资料收益工作来扩展储存需求。云端的采用还支援即时分析,这对于资料商业化战略非常重要。本地资料收益利用组织现有的基础架构进行资料收集、储存和分析,使您能够更好地控制资料环境。本地可让您密切管理和监控资料环境,降低资料外洩和未授权存取的风险。
组织规模:中小型企业大量采用资料收益解决方案
大型企业越来越多地转向资料收益,以扩大收益来源并释放新的商机。大型企业正在利用其资料资产为客户开发新服务或将资料出售给第三方以直接收益来创造业务成长潜力。小型企业在实施资料商业化战略方面具有更大的灵活性,因为它们的资料生态系统不那么复杂,监管障碍也比大型企业低。中小型企业通常专注于内部资料收益,以从资料中获取可操作的见解,以优化业务流程并提高效率。
按行业划分:各行业越来越多地引入资料收益解决方案
透过资料收益解决方案,金融机构正在利用客户资料来预测客户行为、改善风险管理、创造个人化银行体验并推动核保决策。零售商可以利用资料收益工具来了解消费者的行为、偏好和购买模式。能源公司可以更有效地部署资料商业化战略来管理能源生产、消耗和分配。医疗保健提供者通常使用患者资料在健康问题变得严重之前预测健康问题,并制定必要的治疗方案以改善患者的治疗结果。 IT 公司正在透过资料货币化来提供新产品、增强现有服务、个人化软体解决方案并改善客户体验。资料收益解决方案帮助媒体和娱乐公司了解受众偏好、消费模式和参与习惯。运输和物流公司可以利用资料商业化战略来改善路线规划、车辆维护、车队管理并优化物流业务。
区域洞察
在美洲地区,技术创新和主要参与者的强大影响力,特别是在美国和加拿大,已经在资料收益市场上留下了显着的足迹。强大的技术基础设施、物联网设备的普及以及巨量资料分析的不断增长趋势为美洲地区的市场成长做出了重大贡献。在欧洲地区,向工业 4.0 的转变和严格的监管环境正在对资料收益市场产生积极影响。德国、义大利和法国等国家对人工智慧和预测分析的采用率很高,增加了资料收益的商机。公共部门数位转型倡议,尤其是海湾合作委员会国家的公共部门数位转型倡议,已成为中东和北非地区资料收益的关键成长催化剂。由于印度和中国等新兴国家的快速数位转型,亚太地区成为资料收益成长最快的市场之一。除了雄心勃勃的经济成长议程外,亚太地区国家越来越关注工业4.0,高科技监管政策正在推动该地区的资料收益市场。
FPNV定位矩阵
FPNV定位矩阵对于评估资料收益市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对资料收益市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1.资料收益市场的市场规模与预测是多少?
2.在资料收益市场的预测期内,有哪些产品、细分市场、应用程式和领域需要考虑投资?
3.资料收益市场的技术趋势和法规结构是什么?
4.资料收益市场主要厂商的市场占有率是多少?
5. 进入资料收益市场的合适型态和策略手段是什么?
[183 Pages Report] The Data Monetization Market size was estimated at USD 3.83 billion in 2023 and expected to reach USD 4.58 billion in 2024, at a CAGR 19.75% to reach USD 13.55 billion by 2030.
Data monetization market comprises the interconnected network of individuals, companies, or entities that create, collect, share, trade, and utilize data as a valuable resource or commodity. The increase in data volume and lower cost of data storage are contributing to market growth. Increasing focus on data-driven decision-making and surging growth in advanced analytics & visualization are also enhancing the adoption of the data monetization market. However, increasing data structure complexity may limit the adoption of data monetization solutions. Security and privacy concerns related to data monetization solutions are also factors of concern for market growth. Moreover, the advancements in data monetization solutions and rising digitalization in emerging economies are expected to generate significant growth potential in the market.
KEY MARKET STATISTICS | |
---|---|
Base Year [2023] | USD 3.83 billion |
Estimated Year [2024] | USD 4.58 billion |
Forecast Year [2030] | USD 13.55 billion |
CAGR (%) | 19.75% |
Component: Increasing utilization of data monetization consulting services for business growth
In the data monetization market, consulting services primarily offer expert guidance, insights, and solutions that equip businesses to optimize their data generation, collection, and usage. The implementation and integration services ensure seamless assimilation of data analytics solutions into your existing infrastructure, ultimately facilitating a smooth transition to data-driven decision-making and operations. Support and maintenance services upkeep the holistic functioning of data monetization strategies, ensuring uninterrupted access to pertinent data and enabling optimized functioning of data-driven processes, thereby maximizing business efficiency and profitability. Data monetization tools serve as invaluable assets in extracting tangible value from raw, unprocessed data to unveil hidden trends that can influence business strategy and profitability.
Data Type: Surging utilization of product data for better data monetization
Customer data primarily provides insights into the behavior, preferences, and demographics of existing and potential customers. Detailed analytics based on customer data can catalyze personalized marketing strategies, enhance customer experience, and drive customer loyalty and sales. Financial data represents the monetary transactions conducted by a business, comprising income statements, balance sheets, cash flow statements, and tax returns, for evaluating economic trends, studying historical performances, and making future predictions. Product data encompasses information about a company's inventory, including product specifications, pricing, availability, and sales statistics. Supplier data incorporates information about a business's suppliers and their performance metrics. Effective analysis & monetization of supplier data help to establish better negotiating positions, improve supply chain efficiencies, and reduce potential risks.
Business Function: Enhancements in data monetization solutions for improvements sales and marketing operations
In the finance sector, data monetization is utilized towards predictive budgeting and forecasting by analyzing past financial data to predict revenue trends, potential risks, and growth opportunities effectively. Data monetization in operations helps organizations make data-driven decisions and strategies for better resource allocation, management of human resources, and cost-effectiveness. Sales and marketing teams leverage data monetization by targeting ads more effectively, understanding consumer behavior, predicting buying patterns, and personalizing campaigns. Organizations monetize supply chain data to optimize inventory levels, asset usage and enhance route efficiency to perform predictive analytics for inventory shortages and overstock scenarios, thereby reducing unnecessary expenditure.
Deployment Type: Enhancements in cloud deployment models
Data monetization in cloud deployment models capitalizes on the scalability, flexibility, and affordability of cloud resources. Organizations can institute a pay-as-you-grow model, enabling them to scale their storage requirements according to their data monetization efforts. Cloud deployment also supports real-time analytics, which is crucial in data monetization strategies. On-premises data monetization involves leveraging an organization's existing infrastructure for data collection, storage, and analysis, offering greater control over the data environment. The on-premises deployment has the ability to manage and monitor the data landscape closely, reducing the risk of data leakage and unauthorized access.
Organization Size: Significant adoption of data monetization solutions by small and medium-sized enterprises
Large enterprises are increasingly turning to data monetization to amplify their revenue streams and unlock new business opportunities. Large enterprises harness their data assets to develop new offerings for their customers and monetize their data directly by selling them to third-party entities to generate business growth potential. Small and medium-sized enterprises (SMEs) have less complex data ecosystems and fewer regulatory hurdles than large enterprises, which lends them greater agility in implementing data monetization strategies. SMEs typically focus their efforts on internal data monetization, uncovering actionable insights from their data to optimize business processes and drive efficiency.
Industry Vertical: Increasing adoption of data monetization solutions across industry verticals
Through data monetization solutions, financial institutions leverage client data to predict client behavior, improve risk management, create personalized banking experiences, and facilitate decision-making in insurance underwriting. Retail businesses can utilize data monetization tools to understand consumer behavior, preferences, and purchasing patterns. Energy companies can deploy data monetization strategies better to manage energy production, consumption, and distribution. Healthcare providers generally use patient data to anticipate health issues before they become critical and tailor indispensable treatments that result in better patient outcomes. IT companies monetize data to create new product offerings, enhance existing services, personalize software solutions, and deliver improved client experiences. Data monetization solutions help media and entertainment businesses understand audience preferences, consumption patterns, and engagement habits. Transportation and logistics companies can leverage data monetization strategies to improve route planning, vehicle maintenance, fleet management, and optimize logistics operations.
Regional Insights
In the Americas region, technological innovations and strong presence of key players particularly in the United States and Canada, has established a remarkable footprint in the data monetization market. Robust technological infrastructure, the prevalence of IoT devices, and a growing trend towards big data analytics significantly contribute to the market's growth in the Americas region. In the European region, the shift towards Industry 4.0 and the presence of a stringent regulatory landscape positively influence the data monetization market. Countries such as Germany, Italy, and France have higher adoption rates of AI and predictive analytics, augmenting the data monetization opportunities. The public sector's digital transformation initiatives, especially in the GCC countries, are serving as a significant growth catalyst for data monetization in the Middle-East and Africa region. Asia-Pacific stands as one of the fastest-growing markets for data monetization due to rapid digital transformation in emerging economies including India and China. Ambitious economic growth agendas, coupled with an increased focus on Industry 4.0 and pro-tech regulatory policies, in APAC countries are driving the region's data monetization market.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Data Monetization Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Data Monetization Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Data Monetization Market, highlighting leading vendors and their innovative profiles. These include Accenture PLC, Adstra, LLC, Cisco Systems, Inc., Dawex Systems, Domo, Inc., Emu Analytics Ltd., Infosys Limited, International Business Machines Corporation, Microsoft Corporation, Narrative I/O, Inc., NetScout Systems, Inc., Optiva, Inc., Oracle Corporation, QlikTech International AB, Reltio, Inc., Revelate Data Monetization Corp., Salesforce, Inc., SAP SE, SAS Institute Inc., Sisense Inc., Tech Mahindra, ThoughtSpot, Inc., TIBCO Software Inc., and Virtusa Corporation.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Data Monetization Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Data Monetization Market?
3. What are the technology trends and regulatory frameworks in the Data Monetization Market?
4. What is the market share of the leading vendors in the Data Monetization Market?
5. Which modes and strategic moves are suitable for entering the Data Monetization Market?