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市场调查报告书
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1644291

资料发现：市场占有率分析、产业趋势、成长预测（2025-2030 年）

Data Discovery - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 126 Pages | 商品交期: 2-3个工作天内

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简介目录

预测期内，资料发现市场预计将以 21% 的复合年增长率成长。

数据发现-市场-IMG1

主要亮点

  • 根据类型，资料搜寻软体部分预计很快就会在资料发现市场中出现。 Tableau、QlikView 和 Tibco Spotfire 等资料发现和视觉化软体专为资料分析和技术驱动的业务用例而设计。
  • 网路购物在消费者中的日益普及刺激了全球电子商务产业的扩张。多年来，电子商务企业累积了大量的客户资料，每天都会增加Petabyte的资料。根据美国人口普查局的数据，零售电商销售额占总销售额的比例将从 2022 年第一季的 14.3% 增加到 2022 年第三季的 14.8%。
  • 此外，随着物联网设备和资料分析在许多行业中的应用越来越广泛，该行业可能会产生更多的资料。根据飞利浦的一项调查，2022 年 2 月在新加坡接受调查的医疗保健领导者中，92% 表示他们的公司之前已经实施了预测分析。因此，资料收益解决方案的范围预计将扩大。
  • 巨量资料技术和资料发现工具正在彻底改变通讯。 Apache Hadoop、流分析和机器学习等工具为 CSP 开闢了新的机会，使其能够从以前难以处理的资料集中获取洞察力。
  • 提供资料发现服务和解决方案的公司在 COVID-19 疫情高峰期间收益略有下降。然而，疫苗资料、在家工作以及对电子健康的重视导致非结构化和结构化资料的激增，需要识别并有效管理这些资料才能获得洞察力。市场目前正在成长，并且很可能在预测期内继续成长。

资料发现市场趋势

银行、金融服务和保险占据市场主导地位

  • 资料发现工具可以帮助解决银行员工资料建模能力不足等问题，使他们能够解读资料以增强客户体验。它有助于识别潜在的客户群并为他们提供有吸引力的优惠。更重要的是，资料发现将使银行和金融服务提供者能够建立商业模型，并透过实质的风险分析做出适当的投资决策。
  • 机器学习 (ML) 和人工智慧 (AI) 技术的日益使用正在产生大量资料化和非结构化资料，预计这将在整个预测期内推动敏感资料发现解决方案的采用。此外，随着企业转向基于云端基础的解决方案，资料量预计也会成长。例如，根据泰雷兹《2022年资料威胁报告》，全球公司储存在云端的公司资料比例将从2015年的30%增加到2022年的60%。
  • 大量交易产生的资料迫使银行寻找创新的商业理念和风险管理解决方案。一段时间内收集的每组资料都讲述了一个独特的故事，并指向未来某个明确时期的目标，使企业能够利用这些资讯在市场上获得竞争优势。
  • 巨量资料分析可以提高银行和金融机构所采用的风险模型的评估能力。采用巨量资料分析并将其融入现有的银行工作流程是数位千禧年快速发展的商业环境中生存和发展的必要条件之一。
  • 此外，人工智慧技术必须能够有效地处理资料，具有足够的处理能力，并且灵活、适应性强、扩充性，以适应不同数量的资料。因此，小型金融科技公司可能更难以取得实施人工智慧所需的软体和硬体。

北美主导资料发现市场

  • 由于早期采用新技术、对云端基础的解决方案进行大量投资以及该地区众多公司的存在，北美有望引领资料发现市场。随着资料和相应应用的不断增加，增加储存容量的需求为该地区所有主要企业创造了机会。
  • 行动宽频的发展、云端处理和巨量资料分析的成长正在推动对新资料基础设施和资料发现软体的需求。此外，伺服器价格的下降推动了北美各地企业采用云端处理，有助于建立高效、永续的资料中心，从而推动所研究市场的发展。
  • 该地区的几家公司正在研究产品和解决方案的技术进步，这可能会增加产生的资料量，从而刺激资料发现的需求。例如，Cisco于 2022 年 8 月与微软在快速资料分析方面展开合作，协助客户透过分析和基本客群管理来提高销售效率并建立新的收入来源。
  • 此外，2022 年 9 月，SAS 宣布其 Viya 分析工具现已在 Microsoft Azure 市场上架。 SAS Viya 在 Microsoft Azure 上的全部功能为全球客户提供资讯发现、模型部署分析和机器学习的存取权。此工具支援多种语言，并设有应用程式内指导中心，方便快速上手。 Microsoft Azure 上的 SAS Viya 还提供对整个 Viya 套件的访问，包括 SAS Visual Statistics、SAS Visual Analytics、Machine Learning、SAS Visual Data Mining 和 SAS Model Manager。
  • 微软、Facebook、谷歌和苹果等跨国公司正在开发使用可再生能源的绿色资料中心。例如，2022年7月，布里斯班被选为新投资25亿美元的「超级节点」资料储存设施的所在地。这个「南半球最大的资料中心计划」将由 800MW 的电池和再生能源储存提供动力。专业投资经理 Quinbrook Infrastructure Partners 已在 Brendale 获得 30 公顷的土地，并获得了外国投资审查委员会和摩顿湾地区议会的规划批准，可将该场地用作最多四个超大规模资料中心的多租户场地。

资料发现行业概览

资料发现市场竞争激烈，主要参与者只有少数几家。就市场占有率而言，目前少数几家公司占据主导地位。然而，随着分析技术的进步，新的参与者正在进入市场。新参与者正在增加其在市场上的份额，从而扩大其在全部区域的业务范围。此外，巨量资料分析技术能力的巨大扩展（由于开放原始码工具的可用性）可能导致该地区的公司过度提供改进的产品功能以跟上竞争对手的步伐。这种环境将会推高成本并侵蚀产业盈利。

2022 年 11 月，帮助企业了解企业资料并解决安全、隐私、管治和合规问题的全球领先平台 BigID 宣布与领先的技术安全平台 Wiz 扩大合作伙伴关係，Wiz 可协助客户快速识别和消除关键的云端风险。 Wiz 和 BigID 结合了资料安全态势管理 (DSPM) 和云端原生应用程式保护 (CNAPP)，有助于降低云端风险并加速您的云端安全工作。

2022 年 3 月，与律师事务所和企业法律部门合作的电子资料展示服务的专业提供者 HaystackID 宣布了用于发现资料的发现管理框架 HaystackID Core。 HaystackID Core 是一个强大的平台、软体和基础设施服务组合，它将 HaystackID 发现智慧与最新技术、隐私平台、安全性、流程和通讯协定相结合。 HaystackID Core 提供企业、律师事务所和顾问公司采用新电子取证方法所需的实力和准确性，无需前期投资或硬体或软体的额外支出。

其他福利：

  • Excel 格式的市场预测 (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
    • 供应商的议价能力
    • 消费者议价能力
    • 新进入者的威胁
    • 替代品的威胁
    • 竞争对手之间的竞争
  • 产业价值链分析
  • COVID-19 产业影响评估

第五章 市场动态

  • 市场驱动因素
    • 多种结构化资料来源的兴起
    • 资料驱动决策的重要性日益增加
  • 市场限制
    • 资料安全和隐私问题

第六章 市场细分

  • 按组件
    • 软体
    • 服务
  • 按公司规模
    • 中小型企业
    • 大型企业
  • 按行业
    • 银行、金融服务和保险（BFSI）
    • 通讯和 IT
    • 零售与电子商务
    • 製造业
    • 能源与公共产业
    • 其他行业
  • 按地区
    • 北美洲
    • 欧洲
    • 亚太地区
    • 拉丁美洲
    • 中东和非洲

第七章 竞争格局

  • 公司简介
    • Tableau Software LLC（Salesforce Company）
    • Datameer Inc.
    • Altair Engineering Inc.
    • SAP SE
    • Tibco Software Inc.
    • Cloudera Inc.
    • Platfora Inc.
    • ClearStory Data Inc.
    • Oracle Corporation
    • Birst Inc.
    • Qlik Technologies Inc.
    • MicroStrategy Incorporated
    • Panorama Software
    • Alteryx Inc.
    • SAS Institute Inc.

第八章投资分析

第九章 市场机会与未来趋势

简介目录
Product Code: 70623

The Data Discovery Market is expected to register a CAGR of 21% during the forecast period.

Data Discovery - Market - IMG1

Key Highlights

  • Based on types, the data discovery software segment is anticipated to gain prominence in the data discovery market soon. Data discovery and visualization Software like Tableau, QlikView, and Tibco Spotfire is designed for data analysis and technically-oriented business uses.
  • The growing popularity of online shopping among buyers has spurred the global expansion of the e-commerce industry, as e-commerce businesses have amassed massive amounts of client data over the years, with petabytes of data being added every day. As per the United States Census Bureau, e-commerce sales of retail as a percentage of total sales grew from 14.3% in the first quarter of 2022 to 14.8% in the third quarter of 2022.
  • Furthermore, the increased usage of IoT devices and data analytics in numerous industries is likely to generate even more data in the industry. According to a Philips study, 92% of healthcare leaders polled in Singapore in February 2022 stated that their firms had previously adopted predictive analytics. As a result, the scope of the data monetization solution is expected to expand.
  • Big data technologies and data discovery tools are revolutionizing telecommunications. Tools like Apache Hadoop, streaming analytics, and machine learning are opening new opportunities for CSPs to gain insights from data sets that were previously unwieldy.
  • Businesses that provide data discovery services and solutions had a small decline in revenue at the peak of the COVID-19 pandemic. However, the emphasis on vaccine research, work-from-home activities, and eHealth resulted in an explosion of unstructured and structured data that needs to be identified and managed effectively in order to gain insights. The market is currently growing and is likely to continue growing over the forecast period.

Data Discovery Market Trends

The Banking, Financial Services, and Insurance Sector Holds a Dominant Position

  • Data discovery tools help to take issues such as inadequate data modeling abilities of bank employees and enable bank personnel to interpret the data to magnify the customer experience. It helps to recognize potential customer segments and trap them with compelling offers. More significantly, data discovery allows banks and financial service providers to build business models and make proper investment decisions with substantial risk analysis.
  • The rising use of machine learning (ML) and artificial intelligence (AI) technologies has resulted in massive volumes of structured and unstructured data, which is expected to boost the adoption of sensitive data discovery solutions throughout the forecast period. Furthermore, enterprises are migrating to cloud-based solutions, which is likely to increase data volume. According to the Thales Data Threat Report 2022, for example, the percentage of corporate data housed in the cloud in enterprises globally climbed from 30% in 2015 to 60% in 2022.
  • With a massive volume of data gushing from many transactions, banks are trying to find innovative business ideas and risk management solutions. Each set of data gathered over a period tells a unique story and shows the goalpost for a definite future period so that a business firm can capitalize on this information to attain a competitive edge in the market.
  • Big data analytics can enhance the extrapolative power of risk models employed by banks and financial institutions. Adopting big data analytics and instilling it into the existing banking sector workflows is one of the essential elements of surviving and prevailing in the rapidly evolving business environment of the digital millennium.
  • Furthermore, AI-ready technology is capable of effective data handling, has sufficient processing power, is nimble, adaptable, and scalable, and is able to accept varying data quantities. As a result, assembling the necessary software and hardware parts to enable AI would be more difficult for small fintech firms.

North America to Dominate the Data Discovery Market

  • North America is expected to lead the data discovery market owing to the early adoption of new and emerging technologies, significant investments in cloud-based solutions, and the presence of a high number of businesses in this region. The need to increase storage capacity has become an opportunity for every major enterprise in the area, as there is a continuous rise in data and respective applications.
  • The development of mobile broadband, growth in cloud computing, and big data analytics are propelling the demand for new data infrastructures and data discovery software. Moreover, the declining prices of servers have enhanced cloud computing adoption by businesses across North America, stoking the construction of effective and sustainable data, hence boosting the market being studied.
  • Several firms in the region are interested in the technical advancement of their goods and solutions, which is likely to increase the quantity of data generated, fueling the demand for data discovery. For example, Cisco Systems Inc. teamed with Microsoft in August 2022 for Big and Fast Data Analytics, enabling its clients to increase operating effectiveness and establish new income streams in analytics and customer base administration.
  • Furthermore, SAS announced in September 2022 that its Viya analytics tool was made accessible on the Microsoft Azure Marketplace. All SAS Viya functionalities on Microsoft Azure would provide clients worldwide with access to information exploration, model deployment analytics, and machine learning. The tool is accessible in a variety of languages and features an in-app instructional centre to facilitate quick onboarding. Users can also access to the whole Viya suite, including SAS Visual Statistics, SAS Visual Analytics, Machine Learning, SAS Visual Data Mining, and SAS Model Manager, with SAS Viya on Microsoft Azure.
  • Multinational corporations such as Microsoft, Facebook, Google, and Apple are developing in green data centers that use renewable energy. For example, in July 2022, Brisbane was chosen as the location for a new USD 2.5 billion 'Supernode' data storage facility. The "biggest in the Southern Hemisphere" data center project will be fuelled by battery and renewables storage with a capacity of 800 megawatts. Quinbrook Infrastructure Partners, a specialized investment manager, managed to secure a 30 hectare site at Brendale and has previously acquired both Foreign Investment Review Board and local planning authorizations from Moreton Bay Regional Council for a multi-tenant premises of up to four hyperscale datacenters.

Data Discovery Industry Overview

The data discovery market is moderately competitive and consists of a few major players. In terms of market share, some of the players currently dominate the market. However, with the advancement in analytics. New players are increasing their market presence, thereby expanding their business footprint across the region. The vast expansion of capabilities in big data analytics technology (owing to the availability of open-source tools) may also push the companies in the area to keep up with rivals and give away too much of the improved product performance. The environment escalates costs and erodes industry profitability.

In November 2022, BigID, the world's leading platform that allows companies to comprehend their enterprise information and take action for security, privacy, governance, and compliance, announced an expanded partnership with Wiz, the leading technology security platform that allows customers to quickly identify and eliminate critical cloud risks. Data Security Posture Management (DSPM) and Cloud-Native Application Protection (CNAPP) are combined by Wiz and BigID to decrease cloud risk and speed up cloud security initiatives.

In March 2022, HaystackID, a specialist eDiscovery services provider which works with law firms and company law departments, launched HaystackID Core, a discovery management framework for discovery data. HaystackID Core is a strong portfolio of platform, software, and infrastructure services that integrates HaystackID Discovery Intelligence with the latest technology, privacy platforms, security, processes, and protocols. HaystackID Core gives enterprises, law firms, and consultancies the strength and accuracy they need to adopt a new approach to eDiscovery without making any upfront or extra expenditures in hardware or software.

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 Industry Value Chain Analysis
  • 4.4 Assessment of the Impact of COVID-19 on the Industry

5 MARKET DYNAMICS

  • 5.1 Market Drivers
    • 5.1.1 Increasing Number of Multi-Structured Data Sources
    • 5.1.2 Growing Importance for Data-Driven Decision-Making
  • 5.2 Market Restraints
    • 5.2.1 Data Security and Privacy Concerns

6 MARKET SEGMENTATION

  • 6.1 By Component
    • 6.1.1 Software
    • 6.1.2 Services
  • 6.2 By Enterprise Size
    • 6.2.1 Small- and Mid-Sized Enterprises
    • 6.2.2 Large Enterprises
  • 6.3 By Industry Vertical
    • 6.3.1 Banking, Financial Services, and Insurance (BFSI)
    • 6.3.2 Telecommunications and IT
    • 6.3.3 Retail and E-Commerce
    • 6.3.4 Manufacturing
    • 6.3.5 Energy and Utilities
    • 6.3.6 Other Industry Verticals
  • 6.4 By Geography
    • 6.4.1 North America
    • 6.4.2 Europe
    • 6.4.3 Asia-Pacific
    • 6.4.4 Latin America
    • 6.4.5 Middle-East and Africa

7 COMPETITIVE LANDSCAPE

  • 7.1 Company Profiles
    • 7.1.1 Tableau Software LLC (Salesforce Company)
    • 7.1.2 Datameer Inc.
    • 7.1.3 Altair Engineering Inc.
    • 7.1.4 SAP SE
    • 7.1.5 Tibco Software Inc.
    • 7.1.6 Cloudera Inc.
    • 7.1.7 Platfora Inc.
    • 7.1.8 ClearStory Data Inc.
    • 7.1.9 Oracle Corporation
    • 7.1.10 Birst Inc.
    • 7.1.11 Qlik Technologies Inc.
    • 7.1.12 MicroStrategy Incorporated
    • 7.1.13 Panorama Software
    • 7.1.14 Alteryx Inc.
    • 7.1.15 SAS Institute Inc.

8 INVESTMENT ANALYSIS

9 MARKET OPPORTUNITIES AND FUTURE TRENDS