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市场调查报告书
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1408440

资料转换：市场占有率分析、产业趋势与统计、2024年至2029年成长预测

Datafication - 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

资料转换市场上一年的市场规模为3,099.7亿美元，预计未来五年将达到6,300.1亿美元，复合年增长率为12.42%。

数据化-市场-IMG1

主要亮点

  • 世界各地产生的资料量持续呈指数级增长。数位科技、物联网 (IoT)、社群媒体和线上交易的普及每天都会产生大量资料。
  • 企业正在认识到资讯在做出明智决策、提高业务效率和获得竞争优势方面的重要性，从而推动资料资料的稳步扩张。随着资料来源的激增和先进分析工具的发展，各行业的公司都在利用资料获取有用的见解方面进行了大量投资。
  • 从穿戴式装置和智慧恆温器到工业感测器和自动驾驶汽车，物联网设备会定期产生资料。即时监控、主动维护、改善使用者体验都依赖这些资料。物联网资料被用来改善製造、医疗保健和智慧城市等领域的业务和服务。
  • 疫情迫使企业迅速实施远距办公、线上销售、虚拟服务。结果，公司增加了在资料分析和数位基础设施上的支出。只要公司优先考虑资料主导的决策和敏捷的业务运营，这种数位化趋势就有望持续下去。
  • 资料的最前沿是人工智慧 (Al) 和高阶分析。机器学习演算法分析大量资讯以寻找模式、预测结果和自动化决策。在金融和电子商务等领域，人工智慧驱动的洞察用于提供个人化服务、检测诈欺和简化流程。
  • 在疫情期间，世界各地的组织都认识到资料分析在决策、建立弹性和提供优质服务方面的重要性。 COVID-19 之后，资料市场正在经历强劲成长，资料主导策略正在成为各行各业的常态。这凸显了在日益以资料为中心的世界中有效资料管理和严格隐私保护的重要性。

资料转换市场的趋势

产生资料量的速度

  • Facebook、Twitter 和 Instagram 等社交网站每天都会产生数十亿条贴文、照片和影片。感测器和智慧家电等物联网 (IoT) 设备会产生连续的资料流。根据国际数据公司（IDC）的报告，未来三年，全球产生的资料量预计将超过163Zetta位元组（ZB）。
  • 每天产生的大量资料正在改变商务策略和消费者体验。公司正在利用这个资料金矿来更了解消费行为、市场趋势和业务效率。
  • Netflix 和亚马逊等公司使用客户资料来提供个人化推荐。这些资料主导的策略可以增加销售额，同时提高客户满意度。透过穿戴式医疗技术和电子健康记录(EHR) 产生大量病患资料。此资料分析可以改善患者照护并及早发现疾病。
  • 组织不仅可以了解过去的资料，还可以使用先进的分析工具和机器学习演算法来预测未来趋势。这使组织能够做出资料驱动的决策、改善客户体验并简化流程。
  • 资料分析对于金融领域管理风险、确保合规性和改善诈欺侦测至关重要。资料分析使金融机构能够管理其投资、做出资讯的贷款决策并最大化其投资组合。银行和其他金融机构使用资料分析来识别非法贸易并评估信用风险，从而节省资金并最大限度地减少财务损失。
  • 应对快速都市化的挑战需要资料驱动的城市规划和政府。透过评估交通模式、能源使用和公共服务的资料，城市可以改善基础设施、减少拥塞并提高公民的生活品质。智慧城市计画还从各种资讯来源收集资料，包括交通感测器、摄影机和气象站，以优化交通流量、能源消耗和公共服务。
数据化-市场-IMG2

北美预计将占据很大份额

  • 世界上一些最着名的技术中心都位于北美，尤其美国。像Google这样每天处理数拍位元资料以改善搜寻引擎和广告平台的公司诞生于硅谷生态系统。除了产生现金之外，资料分析的这些进步也影响着国际资料趋势。
  • 来自多个来源的广泛资料生产有助于北美在资料数位化和商业方面的主导地位。物联网正在美国汽车产业迅速获得认可，允许从行动物体收集即时资料。特斯拉等公司利用这些资讯来提高自动驾驶能力并远距离诊断。北美丰富的资料生产源保证了资料的稳定流动，这对资料市场至关重要。
  • 为了获得竞争优势，北美公司正在利用资料分析的力量。亚马逊的业界标准建议引擎使用先进的资料分析。他们研究消费者行为和过去的购买历史来提出产品推荐，从而显着提高公司收益。北美公司正在大力投资资料分析专业知识和工具，从而形成资料主导的思维方式。
  • 北美经济是多元化的，跨越多个不同的经济部门，每个部门都有不同的资料要求。这种多样性将资料市场的应用扩展到银行、医疗保健、製造和娱乐等行业。由于其广泛的行业形势，北美透过针对每个行业需求量身定制的资料分析解决方案，在全球资料市场中获得了更强大的地位。

资料产业概况

资料数位化市场是参与企业适度分散的市场环境，既有全球性的，也有区域性的参与企业。然而，各个较小的参与企业之间的整合趋势是显着的。许多市场参与企业正在透过创新策略增强竞争。该市场的主要企业包括IBM公司、SAS Institute、Workiva等。

2023 年 7 月，HCLTech 宣布了一项突破性解决方案，称为 HCLTech Advantage Analytics。这项创新旨在将AI（人工智慧）和BI（商业智慧）无缝集成，为企业提供广泛的服务。目的是增强客户体验并改善整体业务成果。 HCLTech Advantage Analytics 利用人工智慧的力量，旨在与 Snowflake 的资料云配合使用。这个技术中立的平台使 HCLTech Advantage Insights 能够与 Snowflake 的资料云无缝协作，为客户提供人工智慧驱动的见解，从而实现更快、更资讯的决策。

2023 年 7 月，KPM Analytics 发布了 KPMLink，这是一款基于云端基础应用程序，用于远端管理 SpectraStar XT 系列近红外线(NIR) 分析仪。这项创新工具使用户和管理员能够存取每台设备的全面诊断历史记录，从而深入了解健康资料。此外，关键设备健康资料透过 KPMLink 安全储存在现场和云端，确保资料完整性并使用户能够根据可信任测量资料做出决策。

其他福利

  • Excel 格式的市场预测 (ME) 表
  • 3 个月分析师支持

目录

第一章简介

  • 研究假设和市场定义
  • 调查范围

第二章调查方法

第三章执行摘要

第四章市场洞察

  • 市场概况
  • 产业吸引力－波特五力分析
    • 买方议价能力
    • 供应商的议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争公司之间的敌对关係
  • 产业价值链分析
  • COVID-19 市场影响评估

第五章市场动态

  • 市场驱动因素
    • 产生资料量的速度。
    • 对资料洞察的需求不断增长
  • 市场抑制因素
    • 缺乏熟练人才

第六章市场区隔

  • 按类型
    • 行为资料
    • 社群资料
    • 地理空间资料转换
    • 交易资料
    • 感测器资料转换
  • 按用途
    • 区块链
    • AIops
    • 认知运算
    • 边缘运算
    • 菲诺普斯
    • 其他用途
  • 按行业分类
    • BFSI
    • 医疗保健
    • 资讯科技/通讯
    • 政府/国防
    • 零售
    • 其他行业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 中美洲和南美洲
    • 中东/非洲

第七章 竞争形势

  • 公司简介
    • Workiva
    • IBM Corporation
    • Matillion
    • Search Discovery, Inc.
    • Xceptor
    • SAS Institute Inc
    • DataRobot, Inc.
    • Crosser

第八章投资分析

第九章 市场机会及未来趋势

简介目录
Product Code: 50001112
Datafication - Market - IMG1

The datafication market was valued at USD 309.97 billion in the previous year and is expected to register a CAGR of 12.42%, reaching USD 630.01 billion by the next five years.

Key Highlights

  • Owing to the fact that the amount of data generated worldwide continues to grow exponentially. The proliferation of digital technologies, the Internet of Things (IoT), social media, and online transactions all contribute to the massive daily data volume.
  • Organizations recognize the significance of data in making informed decisions, enhancing operational efficiency, and obtaining a competitive edge, fueling that datafication market's steady expansion. Companies across industries are spending extensively on using data to derive useful insights due to the proliferation of data sources and the development of advanced analytics tools.
  • IoT devices regularly generate data, from wearables and smart thermostats to industrial sensors and self-driving cars. Real-time monitoring, proactive maintenance, and improved user experiences all make use of this data. IoT data is used by sectors like manufacturing, healthcare, and smart cities to improve operations and services.
  • The pandemic compelled businesses to adopt remote work, online sales, and virtual services quickly. As a result, they upped their spending on data analytics and digital infrastructure. As long as businesses prioritize data-driven decision-making and agile business operations, this digitalization trend is anticipated to continue.
  • The forefront of datafication is artificial intelligence (Al) and advanced analytics. In order to find patterns, anticipate outcomes, and automate decision-making, machine learning algorithms analyze massive amounts of information. Sectors like finance and e-commerce use AI-powered insights to give individualized services, spot irregularities, and streamline procedures.
  • During the pandemic, the significance of data analytics in forming decisions, boosting resilience, and offering superior services was acknowledged by organizations worldwide. In the aftermath of COVID-19, the datafication market is experiencing robust growth, with data-driven strategies becoming the norm across a wide spectrum of industries. This underscores the utmost importance of effective data management and stringent privacy safeguards in an increasingly data-centric world.

Datafication Market Trends

The pace at which volume of data being generated

  • Daily, billions of posts, photographs, and videos are created on social networking sites like Facebook, Twitter, and Instagram. Data streams are continuously produced by Internet of Things (IoT) devices like sensors and smart appliances. By the next three years, the amount of data generated globally is anticipated to exceed 163 zettabytes (ZB), as per reports by the International Data Corporation (IDC).
  • Business strategy and consumer experiences are changing due to the sheer volume of data generated every day. Businesses are making use of this data gold mine to learn more about consumer behavior, market trends, and operational efficiency.
  • Personal recommendations are made using client data by businesses like Netflix and Amazon. This data-driven strategy raises sales while enhancing customer happiness. Large amounts of patient data are produced through wearable medical technology and electronic health records (EHRs). This data analysis can result in improved patient care and early disease detection.
  • Organizations can predict future trends using sophisticated analytics tools and machine learning algorithms in addition to understanding historical data. This allows organizations to make data-based decisions, improve client experiences, and streamline processes.
  • Data analytics are essential in the financial sector for managing risks, guaranteeing compliance, and improving fraud detection. It enables institutions to manage investments, make informed lending decisions, and maximize their portfolios. Banks and other financial institutions use data analytics to identify fraudulent transactions and evaluate credit risk, which saves money and minimizes financial losses.
  • Addressing the problems of rapid urbanization requires data-driven urban planning and administration. Cities can improve infrastructure, ease congestion, and improve the quality of life for citizens by evaluating data on traffic patterns, energy use, and public services. Also, to optimize traffic flow, energy consumption, and public services, smart city programs gather data from a variety of sources, including traffic sensors, cameras, and weather stations.
Datafication - Market - IMG2

North America Expected to Witness Significant Share

  • Some of the most well-known technology centers in the world are located in North America, primarily the United States. Companies like Google, which processes petabytes of data daily to improve its search engines and advertising platforms, were born in Silicon Valley's ecosystem. In addition to generating cash, these data analytics advancements also have an impact on international datafication trends.
  • The widespread production of data from many sources contributes to North America's dominance in the datafication business. The IoT is being quickly embraced by the American automotive sector, allowing for the collection of real-time data from moving objects. This information is used by businesses like Tesla to improve the capabilities of autonomous driving and conduct remote diagnostics. The plethora of data production sources in North America guarantees a steady stream of data, which is essential to the market for datafication.
  • To acquire a competitive edge, North American enterprises have embraced the power of data analytics. An industry standard, Amazon's recommendation engine uses advanced data analytics. To make product recommendations, it examines consumer behavior and past purchases, greatly boosting the company's revenue. North American Businesses are heavily invested in data analytics expertise and tools as a result of the data-driven mentality that permeates them.
  • The economy of North America is diverse, spanning several different economic sectors with various data requirements in each. Due to this diversity, the datafication market's application has expanded into industries including banking, health care, manufacturing, and entertainment. Due to its broad industrial landscape, North America has a stronger position in the global datafication market because of data analytics solutions that are specifically adapted to each sector's needs.

Datafication Industry Overview

The datafication market comprises a mix of global and regional players, resulting in a moderately fragmented market landscape. However, there is a noticeable trend towards consolidation among various smaller players. Many market participants are gaining a competitive edge through innovative strategies. Key players in this market include IBM Corporation, SAS Institute, and Workiva, among others.

In July 2023, HCLTech introduced a groundbreaking solution known as HCLTech Advantage Analytics. This innovation aims to offer businesses a wide range of services by seamlessly integrating AI (artificial intelligence) and BI (business intelligence). The objective is to enhance customer experiences and improve overall business outcomes. HCLTech Advantage Analytics harnesses the power of AI and is designed to work in conjunction with Snowflake's Data Cloud. This technology-neutral platform allows HCLTech Advantage Insights to seamlessly interact with Snowflake's Data Cloud, providing clients with AI-infused insights that empower quick and well-informed decision-making.

In July 2023, KPM Analytics unveiled KPMLink, a cloud-based application tailored for the remote management of its SpectraStar XT series Near-Infrared (NIR) analyzers. This innovative tool allows users and management to access comprehensive diagnostic histories for each instrument, ensuring robust health data insights. Furthermore, critical instrument health data is securely stored both on-site and in the cloud through KPMLink, ensuring data integrity and providing users with the confidence to base their decisions on reliable measurement data.

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 Buyers
    • 4.2.2 Bargaining Power of Suppliers
    • 4.2.3 Threat of New Entrants
    • 4.2.4 Threat of Substitutes
    • 4.2.5 Intensity of Competitive Rivalry
  • 4.3 Industry Value Chain Analysis
  • 4.4 Assessment of the Impact of COVID-19 on the Market

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 The pace at which volume of data being generated.
    • 5.1.2 The growing demand for insights from data
  • 5.2 Market Restraints
    • 5.2.1 Lack of Skilled Resources

6 MARKET SEGMENTATION

  • 6.1 By Type
    • 6.1.1 Behavioral Datafication
    • 6.1.2 Social Datafication
    • 6.1.3 Geospatial Datafication
    • 6.1.4 Transactional Datafication
    • 6.1.5 Sensor Datafication
  • 6.2 By Application
    • 6.2.1 Blockchain
    • 6.2.2 AIops
    • 6.2.3 Cognitive Computing
    • 6.2.4 Edge Computung
    • 6.2.5 FinOps
    • 6.2.6 Other Applications
  • 6.3 By End-user Vertical
    • 6.3.1 BFSI
    • 6.3.2 Healthcare
    • 6.3.3 IT &Telecom
    • 6.3.4 Government and defense
    • 6.3.5 Retail
    • 6.3.6 Other End-user Verticals
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin Amerca
    • 6.4.5 Middle East & Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Workiva
    • 7.1.2 IBM Corporation
    • 7.1.3 Matillion
    • 7.1.4 Search Discovery, Inc.
    • 7.1.5 Xceptor
    • 7.1.6 SAS Institute Inc
    • 7.1.7 DataRobot, Inc.
    • 7.1.8 Crosser

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS