数据发现市场 - COVID-19 的增长、趋势、影响和预测 (2023-2028)

数据发现市场预计在 2022 年至 2027 年的预测期内復合年增长率为 21%。

由于企业对可视化和探索性数据分析服务的需求不断增加，预计未来数据发现市场将显着增长。 数据发现市场的主要增长动力是数据驱动决策的重要性日益增加、自助式商业智能 (BI) 工具的上升趋势以及从越来越多的结构化数据源中生成洞察力. 你可以 数据发现市场中的应用程序应用地理地图、热图和数据透视表等可视化工具，使模式发现过程更快、更直观。

主要亮点

• 按类型划分，数据发现软件细分市场有望很快在数据发现市场中脱颖而出。 Tableau、QlikView 和 Tibco Spotfire 等数据发现和可视化软件专为数据分析和麵向技术的业务使用而设计。
• 根据 Import.io Inc. 的数据，网络数据的增长速度越来越快，机器生成的数据和人工生成的数据的总体增长速度比传统业务数据快 10 倍。预计 89%的用户认为，具有如此巨大潜力的大数据将像互联网一样彻底改变业务运营。
• 电子商务运营商□□拥有多年来积累的大量客户数据，并且每天都在增加数 PB 的数据。它正在刺激该领域的增长。 根据美国商务部人口普查局的数据，预计 2021 年电子商务总销售额将比 2020 年增长 14.2%（0.9%），达到 8708 亿美元。
• 数据发现工具可帮助电信公司自主查看跨渠道的客户体验和满意度。 通过数据分析留住和获取客户已成为电信公司的主要关注领域，因为它使他们能够开展有效的营销活动和产品供应。
• 大数据技术和数据发现工具正在彻底改变通信方式。 Apache Hadoop、流分析和机器学习等工具为操作员提供了新的机会，让他们可以从以前难以处理的数据集中获得洞察力。
• 数据发现市场也将面临安全和隐私问题。 由于第三方存储的大量数据收集，基于云的解决方案可能会构成安全威胁。 不明确的投资回报率 (RoI)、复杂的工具和有限的应用程序等其他因素正在限制市场增长。

主要市场趋势

银行、金融服务和保险业占据主导地位

• 数据发现工具有助于解决银行人员数据建模能力不足等问题，并使银行人员能够解读数据以提升客户体验。 您还可以识别潜在的客户群并以极具吸引力的优惠锁定客户。 更重要的是，数据发现将使银行和金融服务提供商能够建立业务模型并通过实质性风险分析做出合理的投资决策。
• 越来越多地使用人工智能 (AI) 和机器学习 (ML) 技术将导致大量有组织和无组织的数据的存在，从而导致在预测期内敏感数据发现解决方案的使用预计将晋升。 此外，在预测期内，终端用户在数据隐私和安□□全方面的投资增加，以及不断发展的法规，如加州消费者隐私法 (CCPA) 和通用数据保护条例 (GDPR) 以保护全球敏感数据，将继续增长。预计将推动数据发现市场
• 由于来自许多交易的大量数据，银行正在努力寻找创新的业务理念和风险管理解决方案。 在一段时间内收集的每条数据都讲述了自己的故事，并指向了未来的明确目标，因此公司可以利用这些信息在市场上获得竞争优势。
• 例如，SAS 通过其产品提供经过验证的价值，帮助释放 AI 在数字化转型方面的巨大潜力。 SAS在银行业在全球拥有超过3500家金融服务客户，全球90%以上的顶级银行都在使用SAS。 SAS 银行业分析解决方案结合了预测分析和人工智能技能，有助于满足各种战略业务需求。
• 大数据分析可以增强银行和金融机构采用的风险模型的外推能力。 采用大数据分析并将其渗透到现有的银行工作流程中，是在数字千年快速发展的商业环境中生存和发展的基本要素之一。

北美主导数据发现市场

• 北美由于较早采用新技术、对基于云的解决方案进行大量投资以及拥有大量公司，预计将引领数据发现市场。 随着数据和应用程序的不断增长，对增加存储容量的需求为该地区的每个主要参与者提供了机会。
• 移动宽带的发展、云计算的发展和大数据分析正在推动对新数据基础架构和数据发现软件的需求。 服务器价格的下降也推动了北美云计算业务的采用，促进了高效和可持续数据的构建，扩大了研究涵盖的市场。
• 根据 CBRE 的一份报告，2021 年上半年美国主要数据中心市场的总库存增加了 7%，即 214.3MW。 2021年上半年在建容量超过527.6MW，同比增长42%，其中一半位于弗吉尼亚州北部。
• Facebook、Microsoft、Apple 和 Google 等跨国公司正在投资建设由可再生能源驱动的绿色数据中心。 例如，2019 年 4 月，亚马逊宣布计划在爱尔兰、瑞典和美国投资三个可再生能源项目，为所有亚马逊网络服务 (AWS) 数据中心提供 100% 的可再生能源。 所有这些因素都将推动海量数据的产生，从而推动数据发现市场的发展。

竞争格局

数据发现市场由少数大公司组成，竞争很低。 就市场份额而言，一些玩家目前占据市场主导地位。 然而，随着分析技术的进步，新的参与者正在增加他们的市场占有率，从而扩大他们在该地区的业务足迹。 此外，大数据分析技术能力的大规模扩展（由于开源工具的可用性）导致该地区的公司放弃过多的产品性能提升以赶上竞争对手，而环境可能会增加成本并侵蚀行业盈利能力。

• 2021 年 9 月 - Tableau 在加拿大开设了第一个在线区域，以满足日益增长的数据分析需求。 它是加拿大第一个 Tableau Online 区域，也是全球第六个区域。 作为蒙特利尔蓬勃发展的 IT 部门的一部分，为新老 Tableau Online 用户带来基于云的分析。
• 2021 年 9 月 - Tableau 与非营利组织 Viz for Social Good 合作，为非营利组织提供有关气候变化的免费数据可视化。 Viz for Social Good 是一个由来自世界各地的 1,000 多名志愿数据专业人士组成的社区，将帮助慈善机构分析和展示数据，并提高 COP26 世界气候大会的数据素养。 精心设计的数据可视化改变了人们感知数据的方式。

其他好处

• Excel 格式的市场预测 (ME) 表
• 三个月的分析师支持

内容

第1章介绍

• 研究假设和市场定义
• 调查范围

第2章研究方法论

第 3 章执行摘要

第4章市场动态

• 市场概览
• 市场驱动因素
  • 增加多个结构化数据源
  • 数据驱动决策的重要性与日俱增
• 市场製约因素
  • 数据安全和隐私问题
• 行业吸引力 - 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
  • 竞争公司之间的敌对关係
• 工业价值链分析
• 评估 COVID-19 对行业的影响

第 5 章市场细分

• 按组件
  • 软件
  • 服务
• 按公司规模
  • 中小企业
  • 大公司
• 按行业
  • 银行、金融服务和保险 (BFSI)
  • 通信/IT 行业
  • 零售/电子商务
  • 製造业
  • 能源和公共工程
  • 其他行业
• 区域信息
  • 北美
  • 欧洲
  • 亚太地区
  • 拉丁美洲
  • 中东和非洲

第6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7章 投资分析

第8章 市场机会与将来动向

The data discovery market is expected to register a CAGR of 21% over the forecast period, 2022-2027. The data discovery market is anticipated to grow significantly over the future, owing to the increasing demand of businesses for visualization and explorative data analysis services. The data discovery market's primary growth drivers include the growing importance of data-driven decision-making, growing trends in self-service business intelligence (BI) tools, and insight generation from a growing number of multi-structured data sources. Data discovery market applications apply visual tools comprising geographical maps, heat maps, and pivot tables to make the process of finding patterns faster and more intuitive.

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 are designed for data analysis and technically-oriented business uses.
• According to Import.io Inc., web data is projected to grow faster due to both machine-based and human-generated data experiencing an overall growth rate of 10 times faster than conventional business data. With such significant potential, 89% of users believe big data will revolutionize business operations in the same way the internet did.
• Increasing penetration of online shopping amongst customers has fueled the growth of the e-commerce sector across the world, as e-commerce players have tremendous customer data collected over the years with the constant addition of petabytes of data every day. Total e-commerce sales for 2021 were anticipated at USD 870.8 billion, up 14.2% (0.9%) from 2020, according to the US Census Bureau of the Department of Commerce.
• Data discovery tools help telecom firms to view customer experience and satisfaction autonomously across each channel. Customer retention and acquisition with data analysis are major focus areas for telecom companies, as they can develop effective marketing campaigns and product offerings.
• 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.
• Besides, the data discovery market will face challenges in security and privacy. Cloud-based solutions may pose security threats due to the extensive data collection that is stored by third-party entities. Apart from that, uncertain return on investment (RoI), complicated tools, and limited applications are other factors restraining the growth of the market.

Key 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 increased use of artificial intelligence (AI) and machine learning (ML) technology has resulted in large amounts of organized and unorganized data, which is projected to drive the usage of sensitive data discovery solutions over the projection period. Additionally, increasing end-user investment in data privacy and security and evolving regulations such as the California Consumer Privacy Act (CCPA) and the General Data Protection Regulation (GDPR) to protect sensitive data globally are expected to drive the data discovery market during the forecast period.
• With a massive volume of data gushing from many transactions, the 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.
• For instance, SAS, through its offerings, delivers proven value and can help unlock AI's vast potential for digital transformation. SAS in the banking industry has more than 3500 financial services customers worldwide; more than 90% of the top global banks use SAS. Banking analytics solutions from SAS with predictive analytics and embedded AI skills are helping meet a variety of strategic business needs.
• 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.

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 the adoption of cloud computing businesses across North America, stoking the construction of effective and sustainable data, hence boosting the market being studied.
• As per the CBRE report, the US primary data center market's total inventory across the primary market grew by 7% or 214.3 MW during H1 2021. More than 527.6 MW capacity was under construction at the midway point of 2021, 42% Y-o-Y, half of which was located in Northern Virginia.
• Multinational companies, like Facebook, Microsoft, Apple, Google, etc., are investing in green data centers to power through renewable sources. For instance, In April 2019, Amazon announced its plan to invest in three renewable energy projects in Ireland, Sweden, and United States to power all Amazon Web Services (AWS) data centers with 100% renewable energy. All these factors are fostering the production of vast volumes of data, consequently boosting the data discovery market.

Competitive Landscape

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 the 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, and the environment escalates costs and erodes industry profitability.

• September 2021 - Tableau opened its first online region in Canada to meet the growing demand for data analytics. This is Canada's first Tableau Online area and the world's sixth. It will provide cloud-based analytics to new and existing Tableau Online users as part of Montreal's flourishing IT sector.
• September 2021 - Tableau teamed up with the non-profit group Viz for Social Good to deliver free data visualizations to climate non-profits. Viz for Social Good, a community of over 1,000 data expert volunteers from around the world, will assist charities in analyzing and presenting their data, as well as improving their data literacy, in the run-up to the COP26 global climate conference. People's perceptions of data are transformed through well-designed data visualizations.

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 DYNAMICS

• 4.1 Market Overview​
• 4.2 Market Drivers
  • 4.2.1 Increasing Number of Multi-Structured Data Sources
  • 4.2.2 Growing Importance for Data-Driven Decision-Making
• 4.3 Market Restraints
  • 4.3.1 Data Security and Privacy Concerns
• 4.4 Industry Attractiveness - Porter's Five Forces Analysis
  • 4.4.1 Bargaining Power of Suppliers
  • 4.4.2 Bargaining Power of Consumers
  • 4.4.3 Threat of New Entrants
  • 4.4.4 Threat of Substitutes
  • 4.4.5 Intensity of Competitive Rivalry
• 4.5 Industry Value Chain Analysis
• 4.6 Assessment of the Impact of COVID-19 on the Industry

5 MARKET SEGMENTATION

• 5.1 By Component
  • 5.1.1 Software
  • 5.1.2 Services
• 5.2 By Enterprise Size
  • 5.2.1 Small- and Mid-Sized Enterprises
  • 5.2.2 Large Enterprises
• 5.3 By Industry Vertical
  • 5.3.1 Banking, Financial Services, and Insurance (BFSI)
  • 5.3.2 Telecommunications and IT
  • 5.3.3 Retail and E-Commerce
  • 5.3.4 Manufacturing
  • 5.3.5 Energy and Utilities
  • 5.3.6 Other Industry Verticals
• 5.4 By Geography
  • 5.4.1 North America
  • 5.4.2 Europe
  • 5.4.3 Asia Pacific
  • 5.4.4 Latin America
  • 5.4.5 Middle-East and Africa

6 COMPETITIVE LANDSCAPE

• 6.1 Company Profiles*
  • 6.1.1 Tableau Software LLC (Salesforce Company)
  • 6.1.2 Datameer Inc.
  • 6.1.3 Altair Engineering Inc.
  • 6.1.4 SAP SE
  • 6.1.5 Tibco Software Inc.
  • 6.1.6 Cloudera Inc.
  • 6.1.7 Platfora Inc.
  • 6.1.8 ClearStory Data Inc.
  • 6.1.9 Oracle Corporation
  • 6.1.10 Birst Inc.
  • 6.1.11 Qlik Technologies Inc.
  • 6.1.12 MicroStrategy Incorporated
  • 6.1.13 Panorama Software
  • 6.1.14 Alteryx Inc.
  • 6.1.15 SAS Institute Inc.

7 INVESTMENT ANALYSIS

8 MARKET OPPORTUNITIES AND FUTURE TRENDS