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市场调查报告书
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1444471

资料即服务 - 市场占有率分析、产业趋势与统计、成长预测(2024 - 2029)

Data as a Service - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2024 - 2029)

出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3个工作天内

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简介目录

数据即服务市场规模预计到 2024 年为 207.4 亿美元,预计到 2029 年将达到 516 亿美元,在预测期内(2024-2029 年)CAGR为 20%。

数据即服务 - 市场

企业对透过资料使用获得竞争优势的需求迅速增长,加上管理日益复杂和异质的资料环境的挑战,为数据即服务(DaaS)创造了合适的条件。 ) 市场。

主要亮点

  • 资料即服务基于云端部署模型。它可以部署在混合云、公有云和私有云平台。由于云端运算提供的优势,其采用率正在迅速增加。此外,使用资料的应用程式数量正在增加,而以前仅限于核心业务策略。采用DaaS可以打破资料孤岛,有助于提高敏捷性,并能够轻鬆操纵资料,使其成为当前市场场景中的最佳解决方案。
  • 此外,组织越来越多地采用即时资料分析和巨量资料,从这些资料库中获得有价值的见解。大资料对企业来说变得势在必行,支援流通所需的储存量也不断增加。许多公司利用巨量资料来制定业务策略,推动市场的成长。据希捷称,全球资料生产、捕获、复製和消费预计将大幅增长。预计未来几年,到 2025 年,全球资料产生量将增加到 180 zetta位元组以上。
  • 世界各地的公司大量利用资料来提高品牌吸引力和广告影响力,特别是在零售和电信业。因此,可以观察到社群媒体相关 DaaS 提供者数量的成长。此外,跨组织进行即时分析以儘早获得见解正在推动对 DaaS 解决方案的需求。此外,由于 DaaS 解决方案可以作为统一解决方案(如 Oracle)或作为独立解决方案完全外包,而无需投资整个技术,因此它们日益成为小型公司和新兴企业的有利可图的选择。
  • 然而,对 DaaS 部署所涉及的云端平台的隐私和安全性的担忧可能会挑战市场的成长。
  • COVID-19 大流行对市场产生了积极影响。由于云端运算提供的优势,自 COVID-19 大流行以来,其采用率迅速增加。大流行也导致了数位化的兴起。 Sisense 的一项调查显示,50% 的公司比 COVID-19 大流行之前更多或更多地利用资料分析,其中包括超过 68% 的小型企业。

数据即服务 (DaaS) 市场趋势

BFSI 产业将见证高成长

  • 资产服务业正从以服务为主导的产品转向以资料和技术为主导的服务。此外,银行正在采用 DaaS 为寻求商业智慧见解的客户提供报告即服务或分析即服务。银行和金融业正面临一个关键时刻,需要充分利用透过存取、分析即时产生的资料并采取行动所创造的机会,否则就会面临市场失去竞争力的风险。
  • 然而,据观察,只有大型国家和地区银行才会优先考虑资料和分析的需求。规模较小的银行和金融机构尚未起步或看到显着的效益。此外,由于彭博终端机等产品的存在,参与金融分析或股票市场的公司预计将主要受益于数据即服务。
  • 资料即服务解决方案提供的解决方案包括简化资料输出、产生一致的资料集、识别当前趋势、减少处理资料所需的时间等等,银行和金融机构可以利用这些解决方案来统一资料集以易于理解的方式,也确保系统之间资料的兼容性。
  • 此外,银行和金融机构正在广泛实施数据即服务解决方案,使其利害关係人能够利用其资料为机构创造新的收入来源。例如,德国商业银行(Commerzbank)是一家总部位于法兰克福的全能银行,它开发了 200 多个 API,这些 API 能够实现流程转型,并透过提供近乎即时的 DaaS 为公司的合作伙伴增加价值。
  • 根据 PitchBook 的数据,去年全球金融科技公司的投资总额为 2,265 亿美元,而前一年仅为 1,277 亿美元。全球金融科技公司投资总价值的大幅成长将为市场提供广泛的利润丰厚的成长机会,从而在整个预测期内大幅推动市场成长。

北美市占率最大

  • 在数据即服务解决方案的采用方面,北美是领先的创新者和先驱者之一。该地区为市场成长提供了利润丰厚的机会,由于资料分析供应商的强大立足点,能源领域对资料分析的巨大需求。
  • 此外,主要区域公司正在广泛实施 DaaS 作为其产品。实施 DaaS 的主要原因远远超过其缺点,特别是物联网资料,它需要适应性强且可扩展的分发、处理和储存平台。因此,与储存在企业储存库或资料湖中的静态资料相比,企业公司为机器产生的物联网资料部署 DaaS 的可能性高出五倍。此外,企业资料联合允许各种规模的企业联合(即共享和货币化)其资料,这是 DaaS 的另一个重要机会,代表了市场最大的前景之一。
  • 与加拿大相比,美国在增加该地区的需求方面发挥着至关重要的作用。该国的需求增加,特别是来自 BFSI、IT 和电信以及石油和天然气领域的需求。此外,在该地区,许多国际品牌正在利用市场上各个参与者提供的资料,结合基于社群媒体的促销策略来开拓市场。
  • 例如,今年3月,专注于金融科技的创投基金First Rate Ventures投资了综合性、可自订的跨产业监理警报服务供应商RegAlytics。 RegAlytics 为一些全球最大的金融机构和交易所提供资料服务。 RegAlytics 每天提供来自 5,000 多家监管机构的连贯、可自订且经过彻底审查的监管资料。
  • 此外,今年 6 月,专注于金融科技的创投基金 First Rate Ventures 从最近推出的 2,500 万美元创投基金中投资了 OWL ESG。 OWL ESG 提供资料、指数、评估指标和其他工具,让投资者在产生影响力的同时做出明智的选择。该公司利用机器学习和自然语言处理 (NLP) 从数百万个来源收集和汇总 ESG资料。

数据即服务 (DaaS) 产业概述

由于市场上存在许多小型和大型参与者在国内和国际市场上开展业务,DaaS 市场竞争非常激烈。市场显得分散,重要参与者采取产品和服务创新策略以及併购。市场上一些主要的参与者包括 IBM 公司、甲骨文公司、SAP SE 和 Bloomberg Finance LP 等。

  • 2022年10月:供应链协作解决方案供应商Nulogy在多企业供应链业务网路平台(MESCBN)上正式推出Nulogy资料即服务(DaaS)解决方案。由于 Nulogy DaaS 服务,Nulogy 用户可以存取新的自助分析选项。客户可以建立分析功能来大规模检查复杂资料,并藉助透过 DaaS 获得的资料完全控制数据驱动决策的最终分析输出。
  • 2022年6月:阿里巴巴成立了新的资料智慧服务公司凌阳,以进一步推动这家电子商务巨头向企业市场的转型。领阳智能服务公司提供的「数据智慧即服务」将有助于企业决策和营运效率。新子公司将利用阿里巴巴在製造、行销和其他服务中使用资料智慧的专业知识。

额外的好处:

  • Excel 格式的市场估算 (ME) 表
  • 3 个月的分析师支持

目录

第 1 章:简介

  • 研究假设和市场定义
  • 研究范围

第 2 章:研究方法

第 3 章:执行摘要

第 4 章:市场洞察

  • 市场概况
  • 产业吸引力-波特五力分析
    • 供应商的议价能力
    • 消费者的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争激烈程度
  • 技术展望
  • COVID-19 对产业影响的评估

第 5 章:市场动态

  • 市场驱动因素
    • 基于数据的决策在企业中的渗透率不断提高
    • 企业转型带来即时分析需求
  • 市场限制
    • 关于隐私和安全的担忧

第 6 章:市场细分

  • 按最终用户
    • BFSI
    • 资讯科技和电信
    • 政府
    • 零售
    • 教育
    • 油和气
    • 其他最终用户
  • 按地理
    • 北美洲
    • 欧洲
    • 亚太
    • 拉丁美洲
    • 中东和非洲

第 7 章:竞争格局

  • 公司简介
    • Bloomberg Finance LP
    • Dow Jones & Company Inc.
    • Environmental Systems Research Institute
    • Equifax Inc.
    • FactSet Research Systems Inc.
    • IBM Corporation
    • Oracle Corporation
    • SAP SE
    • Thomson Reuters Corporation
    • Morningstar Inc.
    • Moody's Investors Service Inc.
    • MasterCard Advisors LLC

第 8 章:投资分析

第 9 章:市场机会与未来趋势

简介目录
Product Code: 61385

The Data as a Service Market size is estimated at USD 20.74 billion in 2024, and is expected to reach USD 51.60 billion by 2029, growing at a CAGR of 20% during the forecast period (2024-2029).

Data as a Service - Market

The rapidly increasing appetite of businesses to gain a competitive advantage over the competition from the use of data, coupled with the challenges of managing an increasingly complex and heterogeneous data landscape, has created the right conditions for the data-as-a-service (DaaS) market.

Key Highlights

  • Data as a Service is based on the cloud deployment model. It can be deployed on hybrid, public, and private cloud platforms. Owing to the benefits cloud computing offers, it is witnessing a rapid increase in its adoption. Moreover, the number of applications where data is being used is increasing, which was previously confined only to core business strategies. The adoption of DaaS can break down data silos, help in improving agility, and enable effortless manipulation of data, thus, making it the best solution in the current market scenario.
  • Also, organizations are increasingly adopting real-time data analytics and big data to gain valuable insights from these databases. Big data is becoming imperative to businesses, and the amount of storage required to support circulation is also increasing. Many companies use big data to establish their business strategies, driving the market's growth. As per Seagate, global data production, capture, copying, and consumption are all expected to rise sharply. Global data generation is anticipated to increase to more than 180 zettabytes over the following years, up until 2025.
  • Companies worldwide heavily utilize data to increase their brand appeal and advertisement reach, specifically in the retail and telecommunications industries. Therefore, growth in the number of social media-related DaaS providers can be observed. Also, real-time analytics across organizations to gain insights at the earliest is driving the demand for DaaS solutions. Also, as DaaS solutions can be outsourced entirely as a unified solution (like in Oracle) or as stand-alone ones without investing in the whole technology, they are increasingly becoming a lucrative choice for smaller companies and emerging businesses.
  • However, concerns regarding the privacy and security of cloud platforms involved in DaaS deployment can challenge the market's growth.
  • The COVID-19 pandemic has positively impacted the market. Owing to the benefits cloud computing offers, it has witnessed a rapid increase in its adoption since the COVID-19 pandemic. The pandemic also led to the rise in digitization. According to a survey from Sisense, 50% of companies are utilizing data analytics more or much more than before the COVID-19 pandemic, including over 68% of small businesses.

Data as a Service (DaaS) Market Trends

BFSI Sector to Witness High Growth

  • The asset-servicing industry is shifting from one based on service-led offerings to one based on data and technology-led services. Moreover, banks are adapting DaaS to offer reports-as-a-service or analytics-as-a-service to customers looking for business intelligence insights. The banking and financial industry is facing a critical juncture to capitalize on the opportunity created by accessing, analyzing, and acting on the data generated in real-time or risk becoming non-competitive in the market.
  • However, it has been observed that only big national and regional banks prioritize the need for data and analytics. Smaller banks and financial institutions are yet to get started or see significant benefits. Also, the presence of firms involved in financial analysis or stock markets is expected to primarily benefit from Data-as-a-Service, owing to the presence of products such as Bloomberg Terminal.
  • Data-as-a-Service solutions provide solutions such as simplification of data outputs, generating coherent datasets, identification of present trends, reducing the time taken to process data, and many more, which can be utilized by banking and finance institutions to unite datasets in an easily understandable way and also ensures compatibility of data between systems.
  • Moreover, banking and financial institutes are widely implementing Data-as-a-Service solutions to enable their stakeholders to leverage their data to create new revenue streams for the institute. For instance, Commerzbank, a major German bank operating as a universal bank headquartered in Frankfurt, has developed more than 200 APIs that enable the transformation of processes and adds value to the company's partners by offering near-real-time DaaS.
  • As per PitchBook, the total value of investments into fintech companies worldwide last year was USD 226.5 billion, whereas it was only USD 127.7 billion in the previous year. This significant rise in the total value of investments into fintech companies worldwide will offer the market a wide range of lucrative growth opportunities, driving the market's growth considerably throughout the forecasted period.

North America to Witness the Largest Market Share

  • North America is among the leading innovators and pioneers, in terms of the adoption, of Data-as-a-Service solutions. The region offers lucrative opportunities for market growth, exhibiting a massive demand for data analytics in the energy sector owing to the strong foothold of data analytics vendors.
  • Moreover, major regional firms are widely implementing DaaS as their product offerings. The prime reasons for implementing DaaS far outweigh the drawbacks, particularly regarding IoT data, which requires adaptable and scalable distribution, processing, and storage platforms. Hence, compared to static data stored in corporate repositories or data lakes, enterprise firms are five times more likely to deploy DaaS for machine-generated IoT data. In addition, enterprise data syndication, which allows businesses of all sizes to syndicate (i.e., share and monetize) their data, is another significant opportunity for DaaS, representing one of the biggest prospects for the market.
  • The United States plays a crucial role in increasing the demand from the region when compared to Canada. The country has increased demand, especially from BFSI, IT and telecommunications, and oil and gas segments. Further, in the region, a wide range of international brands are incorporating social media-based promotion strategies by using data provided by various players in the market to tap into the market.
  • For instance, in March this year, First Rate Ventures, a FinTech-focused venture capital fund, invested in RegAlytics, a comprehensive and customizable cross-sector regulatory alert service provider. RegAlytics delivers data services to some of the world's largest financial institutions and exchanges. RegAlytics provides coherent, customizable, and thoroughly vetted regulatory data from over 5,000 regulators every day.
  • Further, in June this year, First Rate Ventures, a FinTech-focused venture capital fund, invested in OWL ESG from its recently launched $25 million venture capital fund. OWL ESG provides data, indexes, evaluation metrics, and other tools that allow investors to make informed choices while making an impact. The company leverages machine learning and natural language processing (NLP) to gather and aggregate ESG data from millions of sources.

Data as a Service (DaaS) Industry Overview

The DaaS market is highly competitive owing to the presence of many small and large players in the market running their business in domestic and international markets. The market appears fragmented, with significant players adopting product and service innovation strategies and mergers and acquisitions. Some major players in the market are IBM Corporation, Oracle Corporation, SAP SE, and Bloomberg Finance LP, among others.

  • October 2022: The Nulogy Data as a Service (DaaS) Solution was officially launched by Nulogy, a provider of supply chain collaboration solutions, on the Multi-Enterprise Supply Chain Business Network Platform (MESCBN). Users of Nulogy can access new self-serve analytics options due to the Nulogy DaaS service. Clients can construct analytics capabilities to examine complex data at scale and have total control over the final analytics output for data-driven decision-making with the help of data obtained via DaaS.
  • June 2022: Alibaba set up a new data intelligence services company, Lingyang, to further the e-commerce giant's shift into the enterprise market. The "data-intelligence-as-a-service" offered by Lingyang Intelligent Service Co. will aid businesses in decision-making and operational efficiency. The new subsidiary will tap into Alibaba's expertise in using data intelligence for manufacturing, marketing, and other services.

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

TABLE OF CONTENTS

1 INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2 RESEARCH METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET INSIGHTS

  • 4.1 Market Overview
  • 4.2 Industry Attractiveness - Porter's Five Forces Analysis
    • 4.2.1 Bargaining Power of Suppliers
    • 4.2.2 Bargaining Power of Consumers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Technology Outlook
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Growing Penetration of Data-based Decisions Among Enterprises
    • 5.1.2 Transformation of Enterprises Leading to Real-time Analytics Demand
  • 5.2 Market Restraints
    • 5.2.1 Concerns Regarding Privacy and Security

6 MARKET SEGMENTATION

  • 6.1 By End User
    • 6.1.1 BFSI
    • 6.1.2 IT and Telecommunications
    • 6.1.3 Government
    • 6.1.4 Retail
    • 6.1.5 Education
    • 6.1.6 Oil and Gas
    • 6.1.7 Other End Users
  • 6.2 By Geography
    • 6.2.1 North America
    • 6.2.2 Europe
    • 6.2.3 Asia-Pacific
    • 6.2.4 Latin America
    • 6.2.5 Middle East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Bloomberg Finance LP
    • 7.1.2 Dow Jones & Company Inc.
    • 7.1.3 Environmental Systems Research Institute
    • 7.1.4 Equifax Inc.
    • 7.1.5 FactSet Research Systems Inc.
    • 7.1.6 IBM Corporation
    • 7.1.7 Oracle Corporation
    • 7.1.8 SAP SE
    • 7.1.9 Thomson Reuters Corporation
    • 7.1.10 Morningstar Inc.
    • 7.1.11 Moody's Investors Service Inc.
    • 7.1.12 MasterCard Advisors LLC

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS