數據發現市場 - COVID-19 的增長、趨勢、影響和預測 (2023-2028)

數據發現市場預計在 2022 年至 2027 年的預測期內復合年增長率為 21%。

由於企業對可視化和探索性數據分析服務的需求不斷增加，預計未來數據發現市場將顯著增長。 數據發現市場的主要增長動力是數據驅動決策的重要性日益增加、自助式商業智能 (BI) 工具的上升趨勢以及從越來越多的結構化數據源中生成洞察力. 你可以 數據發現市場中的應用程序應用地理地圖、熱圖和數據透視表等可視化工具，使模式發現過程更快、更直觀。

主要亮點

• 按類型劃分，數據發現軟件細分市場有望很快在數據發現市場中脫穎而出。 Tableau、QlikView 和 Tibco Spotfire 等數據發現和可視化軟件專為數據分析和麵向技術的業務使用而設計。
• 根據 Import.io Inc. 的數據，網絡數據的增長速度越來越快，機器生成的數據和人工生成的數據的總體增長速度比傳統業務數據快 10 倍。預計 89%的用戶認為，具有如此巨大潛力的大數據將像互聯網一樣徹底改變業務運營。
• 電子商務運營商□□擁有多年來積累的大量客戶數據，並且每天都在增加數 PB 的數據。它正在刺激該領域的增長。 根據美國商務部人口普查局的數據，預計 2021 年電子商務總銷售額將比 2020 年增長 14.2%（0.9%），達到 8708 億美元。
• 數據發現工具可幫助電信公司自主查看跨渠道的客戶體驗和滿意度。 通過數據分析留住和獲取客戶已成為電信公司的主要關注領域，因為它使他們能夠開展有效的營銷活動和產品供應。
• 大數據技術和數據發現工具正在徹底改變通信方式。 Apache Hadoop、流分析和機器學習等工具為操作員提供了新的機會，讓他們可以從以前難以處理的數據集中獲得洞察力。
• 數據發現市場也將面臨安全和隱私問題。 由於第三方存儲的大量數據收集，基於雲的解決方案可能會構成安全威脅。 不明確的投資回報率 (RoI)、複雜的工具和有限的應用程序等其他因素正在限制市場增長。

主要市場趨勢

銀行、金融服務和保險業佔據主導地位

• 數據發現工具有助於解決銀行人員數據建模能力不足等問題，並使銀行人員能夠解讀數據以提升客戶體驗。 您還可以識別潛在的客戶群並以極具吸引力的優惠鎖定客戶。 更重要的是，數據發現將使銀行和金融服務提供商能夠建立業務模型並通過實質性風險分析做出合理的投資決策。
• 越來越多地使用人工智能 (AI) 和機器學習 (ML) 技術將導致大量有組織和無組織的數據的存在，從而導致在預測期內敏感數據發現解決方案的使用預計將晉升。 此外，在預測期內，終端用戶在數據隱私和安□□全方面的投資增加，以及不斷發展的法規，如加州消費者隱私法 (CCPA) 和通用數據保護條例 (GDPR) 以保護全球敏感數據，將繼續增長。預計將推動數據發現市場
• 由於來自許多交易的大量數據，銀行正在努力尋找創新的業務理念和風險管理解決方案。 在一段時間內收集的每條數據都講述了自己的故事，並指向了未來的明確目標，因此公司可以利用這些信息在市場上獲得競爭優勢。
• 例如，SAS 通過其產品提供經過驗證的價值，幫助釋放 AI 在數字化轉型方面的巨大潛力。 SAS在銀行業在全球擁有超過3500家金融服務客戶，全球90%以上的頂級銀行都在使用SAS。 SAS 銀行業分析解決方案結合了預測分析和人工智能技能，有助於滿足各種戰略業務需求。
• 大數據分析可以增強銀行和金融機構採用的風險模型的外推能力。 採用大數據分析並將其滲透到現有的銀行工作流程中，是在數字千年快速發展的商業環境中生存和發展的基本要素之一。

北美主導數據發現市場

• 北美由於較早採用新技術、對基於雲的解決方案進行大量投資以及擁有大量公司，預計將引領數據發現市場。 隨著數據和應用程序的不斷增長，對增加存儲容量的需求為該地區的每個主要參與者提供了機會。
• 移動寬帶的發展、雲計算的發展和大數據分析正在推動對新數據基礎架構和數據發現軟件的需求。 服務器價格的下降也推動了北美雲計算業務的採用，促進了高效和可持續數據的構建，擴大了研究涵蓋的市場。
• 根據 CBRE 的一份報告，2021 年上半年美國主要數據中心市場的總庫存增加了 7%，即 214.3MW。 2021年上半年在建容量超過527.6MW，同比增長42%，其中一半位於弗吉尼亞州北部。
• Facebook、Microsoft、Apple 和 Google 等跨國公司正在投資建設由可再生能源驅動的綠色數據中心。 例如，2019 年 4 月，亞馬遜宣布計劃在愛爾蘭、瑞典和美國投資三個可再生能源項目，為所有亞馬遜網絡服務 (AWS) 數據中心提供 100% 的可再生能源。 所有這些因素都將推動海量數據的產生，從而推動數據發現市場的發展。

競爭格局

數據發現市場由少數大公司組成，競爭很低。 就市場份額而言，一些玩家目前佔據市場主導地位。 然而，隨著分析技術的進步，新的參與者正在增加他們的市場佔有率，從而擴大他們在該地區的業務足跡。 此外，大數據分析技術能力的大規模擴展（由於開源工具的可用性）導致該地區的公司放棄過多的產品性能提升以趕上競爭對手，而環境可能會增加成本並侵蝕行業盈利能力。

• 2021 年 9 月 - Tableau 在加拿大開設了第一個在線區域，以滿足日益增長的數據分析需求。 它是加拿大第一個 Tableau Online 區域，也是全球第六個區域。 作為蒙特利爾蓬勃發展的 IT 部門的一部分，為新老 Tableau Online 用戶帶來基於雲的分析。
• 2021 年 9 月 - Tableau 與非營利組織 Viz for Social Good 合作，為非營利組織提供有關氣候變化的免費數據可視化。 Viz for Social Good 是一個由來自世界各地的 1,000 多名志願數據專業人士組成的社區，將幫助慈善機構分析和展示數據，並提高 COP26 世界氣候大會的數據素養。 精心設計的數據可視化改變了人們感知數據的方式。

其他好處

• Excel 格式的市場預測 (ME) 表
• 三個月的分析師支持

內容

第1章介紹

• 研究假設和市場定義
• 調查範圍

第2章研究方法論

第 3 章執行摘要

第4章市場動態

• 市場概覽
• 市場驅動因素
  • 增加多個結構化數據源
  • 數據驅動決策的重要性與日俱增
• 市場製約因素
  • 數據安全和隱私問題
• 行業吸引力 - 波特五力分析
  • 供應商的議價能力
  • 消費者的議價能力
  • 新進入者的威脅
  • 替代品的威脅
  • 競爭公司之間的敵對關係
• 工業價值鏈分析
• 評估 COVID-19 對行業的影響

第 5 章市場細分

• 按組件
  • 軟件
  • 服務
• 按公司規模
  • 中小企業
  • 大公司
• 按行業
  • 銀行、金融服務和保險 (BFSI)
  • 通信/IT 行業
  • 零售/電子商務
  • 製造業
  • 能源和公共工程
  • 其他行業
• 區域信息
  • 北美
  • 歐洲
  • 亞太地區
  • 拉丁美洲
  • 中東和非洲

第6章競爭格局

• 公司簡介
  • 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 投資分析

第8章 市場機會與將來動向

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