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市場調查報告書
商品編碼
1850316

資料準備：市場佔有率分析、產業趨勢、統計資料、成長預測（2025-2030 年）

Data Preparation - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2025 - 2030)
出版日期: | 出版商: Mordor Intelligence | 英文 120 Pages | 商品交期: 2-3個工作天內

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簡介目錄

預計到 2025 年，數據準備市場規模將達到 69.5 億美元，到 2030 年將達到 147.1 億美元，年複合成長率為 16.2%。

資料準備-市場-IMG1

這一成長反映了人工智慧基礎設施的快速發展，因為企業正在將生成式人工智慧融入日常工作流程。目前，71% 的企業已實施資料管治計劃，高於 2023 年的 60%，企業正在增加對系統化資料準備工具的投入。儘管到 2024 年，本地部署解決方案將佔總收入的 65.7%，但雲端採用率成長最快，複合年成長率 (CAGR) 為 17.8%。這一趨勢受到各國限制跨境資料傳輸的雲端法規的影響，例如將於 2025 年 7 月生效的越南資料法。儘管到 2024 年，大型企業將佔總收入的 68.9%，但中小企業的成長最為顯著，複合年成長率為 18.1%，這得益於低程式碼分析和按需付費模式降低了准入門檻。數據分析模組在2024年佔總收入的24.3%。然而，受歐盟企業永續性報告指令（CSR）溫室氣體報告義務的驅動，以管治為中心的解決方案成長最快，複合年成長率（CAGR）達17.3%。預計到2024年，IT和通訊將成為最大的垂直產業，佔22.8%；而隨著人工智慧（AI）應用於診斷、病患工作流程和生命科學研發領域，醫療保健和生命科學產業到2030年的複合年成長率將達到16.8%。按地區分類，北美地區在2024年以37.1%的收入佔比領先；而亞太地區則受益於資料中心容量的擴張，將以17.5%的複合年成長率超越其他地區。併購活動預示著競爭加劇：Salesforce於2025年5月同意以80億美元收購Informatica，而Alteryx於2024年3月以44億美元的價格私有化。

全球數據準備市場趨勢與洞察

轉向低程式碼/無程式碼自助式分析工具的轉變正在加速

低程式碼介面正在重新定義資料準備市場，它使業務專家能夠透過拖放式設計而不是腳本來建立資料管道。 Google雲端的 BigQuery Data Prep 就是這一趨勢的典型代表，它提供 AI 指導，透過自然語言提示來清洗、分析和轉換資料。這種方法減少了對稀缺資料工程師的依賴，縮短了開發週期，並將分析交付與領域專業知識結合。基於 GenAI 的擴充功能正在迅速普及，產業預測到 2026 年，GenAI 將被內建到幾乎所有 BI 平台中。然而，嚴格的管治對於確保用戶建立的資料流符合企業品質和安全標準至關重要。

中小企業分析團隊的雲端採用率激增

中小企業正在擴展其雲端原生管道，以縮小與大型競爭對手的能力差距，這推動了亞太地區需求的成長。該地區60%的企業計劃在2025年前部署人工智慧語言模式。雲端的彈性和按需付費模式使中小企業能夠在避免資本支出的同時，獲得先進的資料準備功能。英國的一項調查發現，目前只有不到1%的中小企業使用巨量資料分析，隨著成本和複雜性門檻的降低，企業正在取得進展。然而，技能短缺問題依然存在，託管服務提供者正在介入，幫助企業建立管道並遵守新規，尤其是在資料本地化方面。

缺乏複雜資料管治配置方面的技能

近三分之一的資訊長認為資料管理的複雜性是一項重大障礙，而管治專家的短缺正在減緩可擴展資料管道的部署。加州的氣候變遷資訊揭露規則等立法，強制要求對範圍 1-3 的排放進行自動化核算，加劇了這項挑戰。在新興市場，落後的學術計畫加劇了人才短缺，並導致企業轉向外部顧問和託管服務契約，從而推高了實施預算。

細分市場分析

預計到2024年，本地部署平台的資料準備市場規模將達到45.7億美元，佔資料準備市場佔有率的65.7%。越南的《資料法》和印度的《數位個人資料保護條例》正在強化本地部署和主權雲端模式，以確保敏感記錄保留在國家境內。雲端服務目前規模較小，但預計到2030年將成長17.8%，因為叢集數位原民企業優先考慮敏捷性。在北美，將用於處理受監管資料的本地叢集與用於處理低風險工作負載的超大規模儲存庫相結合的混合架構正逐漸成為主流。雲端供應商正在透過區域特定實例和加密金鑰控制來解決合規性問題，隨著中小城市獲得直接光纖連接，雲端服務的應用範圍正在從傳統的技術中心擴展到更廣泛的區域。

由於許可攤銷的緣故，穩定的 ETL 批次和可預測的資料增強作業仍保留在本地部署，但人工智慧推理和公民開發者沙箱的爆炸式成長將遷移到付費使用制的雲端平台。預計到 2029 年，超過一半的跨國企業將運行自主雲實例，這將催生對跨私有雲、公有雲和邊緣節點無縫執行策略的需求。供應商目前正優先考慮建構統一的控制平面，該控制平面能夠不受基礎設施的限制，傳播資料品質規則和血緣關係圖。

到2024年，大型企業將創造47.9億美元的收入，佔數據準備市場68.9%的佔有率。大型企業傾向於選擇能夠將目錄、血緣關係和可觀測性整合到現有資料架構中的平台捆綁包。相較之下，中小企業貢獻了21.6億美元的收入，其複合年成長率將達到18.1%，遠超過其他族群。預計到2030年，中小企業資料準備解決方案的市場規模將達到56億美元。按需收費和自動模式發現將降低資本門檻，使本地零售商、金融科技公司和SaaS新興企業能夠與現有企業並駕齊驅。

根據美國小型企業研究所期刊的一項調查，70%的美國小型企業認知到分析的價值，但只有少數企業擁有執行端到端流程所需的內部人才。低程式碼雲端工作平台和託管服務生態系統正在填補這一空白，而產業協會則提供模組化培訓以加速公民的採用。制定政策框架以應對新的人工智慧法案要求仍然面臨挑戰，這為專注於合規性附加服務的通路合作夥伴創造了機會。

資料準備市場報告按部署方式（本地部署和雲端部署）、公司規模（中小企業和大型企業）、解決方案類型（資料攝取、資料編目、其他）、最終用戶垂直行業（銀行、金融服務和保險、醫療保健和生命科學、其他）以及地區進行細分。

區域分析

預計北美地區在2024年將投入25.8億美元，佔數據準備市場佔有率的37.1%。加州的氣候資訊揭露法要求年收入超過10億美元的公司揭露範圍1-3的排放，這正在增強整個北美地區對管治工具的需求。總部設在美國境外但在美國開展業務的跨國公司也必須提交報告，這使其影響力擴展到了境外。加拿大正透過《消費者隱私保護法》（C-27法案）推動類似的框架，而墨西哥則提案資料本地化，並敦促為跨境加工出口供應鏈制定混合雲端藍圖。該地區的投資重點正從初始數據採集能力轉向能夠減少營運工作的先進可觀測性和自動化修復。

亞太地區是成長最快的地區，年成長率高達17.5%，公共雲端的成長速度超過其他地區。中國83%的GenAI（全民人工智慧）普及率體現在其積極的現代化建設中，而韓國和日本則正在撥出國家人工智慧專項資金，用於醫療記錄數位化和智慧工廠計畫。越南的《資料法》和印度的DPDP（資料保護與資料保護）規則正在跨國架構中建構資料駐留層，從而增加本地邊緣部署，並刺激對整合策略引擎的需求。澳洲企業正面臨新的關鍵基礎設施安全要求，需要在資料準備的上游階段進行即時異常檢測。同時，新加坡資訊通訊媒體發展局（IMDA）的津貼正在推動中小企業轉向雲端服務，增強該地區大眾市場的勢頭。

在歐洲，ESG（環境、社會和治理）指令推動了對「報告就緒」領域的管道投資，並實現了兩位數以上的穩定成長。歐盟的《企業永續性報告指令》迫使近5萬家公司使用統一的分類標準來記錄溫室氣體指標，並將資料目錄和品質工具提上了經營團隊議程。德國和法國在支出方面處於領先地位，而義大利和西班牙也在加速發展，因為復甦與韌性基金的津貼為數位轉型計劃提供了資金支持。歐盟人工智慧立法要求透明度、偏見監控和人工監督日誌，這加深了對跨邊緣節點和超大規模資料中心的安全血緣檔案的需求。東歐國家正在加強本地雲端能力，以確保公民資料留在國內，並鼓勵區域通訊業者與全球超大規模超大規模資料中心業者營運商建立夥伴關係。

其他福利：

  • Excel格式的市場預測（ME）表
  • 3個月的分析師支持

目錄

第1章 引言

  • 研究假設和市場定義
  • 調查範圍

第2章調查方法

第3章執行摘要

第4章 市場情勢

  • 市場概覽
  • 市場促進因素
    • 加快向低程式碼/無程式碼自助式分析工具的轉型
    • 中小企業分析團隊的雲端採用率激增
    • 將 GenAI Copilot 整合到您的資料準備工作流程中
    • 供應商將資料準備模組捆綁到更廣泛的資料架構套件中。
    • 領域特定「垂直人工智慧」資料準備管道的快速崛起
    • 主權雲端監管促進本地/混合模式回歸
  • 市場限制
    • 複雜資料管治配置中的技能差距
    • 多重雲端資料管道總體擁有成本不斷上升
    • 加強新興市場的數據主權懲罰
    • 碳足跡分配阻礙了運算密集型準備工作
  • 價值鏈分析
  • 技術展望
  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 新進入者的威脅
    • 替代品的威脅
    • 競爭對手之間的競爭
  • 評估宏觀經濟趨勢對市場的影響

第5章 市場規模與成長預測

  • 透過部署
    • 本地部署
    • 雲
  • 按公司規模
    • 小型企業
    • 主要企業
  • 按解決方案類型
    • 資料攝取
    • 數據目錄
    • 數據品質
    • 資料管治
    • 資料角力
    • 數據豐富
  • 最終用戶
    • BFSI
    • 醫療保健和生命科學
    • 零售與電子商務
    • 製造業和工業
    • 資訊科技和通訊
    • 政府和公共部門
    • 其他（能源、教育、媒體）
  • 按地區
    • 北美洲
      • 美國
      • 加拿大
      • 墨西哥
    • 歐洲
      • 德國
      • 英國
      • 法國
      • 義大利
      • 西班牙
      • 俄羅斯
      • 其他歐洲地區
    • 亞太地區
      • 中國
      • 日本
      • 印度
      • 韓國
      • 澳洲和紐西蘭
      • 其他亞太地區
    • 南美洲
      • 巴西
      • 阿根廷
      • 其他南美
    • 中東和非洲
      • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 土耳其
      • 其他中東地區
      • 非洲
      • 南非
      • 奈及利亞
      • 其他非洲國家

第6章 競爭情勢

  • 市場集中度
  • 策略趨勢
  • 市佔率分析
  • 公司簡介
    • Alteryx Inc.
    • Informatica LLC
    • IBM Corporation
    • Microsoft Corporation
    • Tableau Software LLC（Salesforce）
    • SAP SE
    • SAS Institute Inc.
    • QlikTech International AB
    • TIBCO Software Inc.
    • Talend SA
    • Oracle Corporation
    • Trifacta Inc.（Google）
    • Databricks Inc.
    • Snowflake Inc.
    • Dataiku SAS
    • MicroStrategy Inc.
    • RapidMiner Inc.
    • Paxata Inc.（DataRobot）
    • Unifi Software Inc.
    • Denodo Technologies Inc.

第7章 市場機會與未來展望

簡介目錄
Product Code: 62345

The data preparation market size stands at USD 6.95 billion in 2025 and is projected to reach USD 14.71 billion by 2030, expanding at a 16.2% CAGR.

Data Preparation - Market - IMG1

This expansion mirrors the surge in AI-ready infrastructure as enterprises embed generative AI into day-to-day workflows; adoption has reached 83% of organizations in China and full production roll-outs in 24% of United States companies. Proliferating data-governance programs, now present in 71% of organizations compared with 60% in 2023, reinforce spending on systematic data preparation tools. Deployment choices continue to diverge: on-premises solutions controlled 65.7% of 2024 revenue, while cloud deployments are scaling fastest at 17.8% CAGR, a pattern shaped by sovereign-cloud regulations such as Vietnam's Data Law, effective July 2025, that restrict cross-border transfers. Large enterprises held 68.9% revenue share in 2024, yet small and medium enterprises (SMEs) show the strongest momentum at 18.1% CAGR as low-code analytics and consumption-based pricing lower entry barriers. Data-ingestion modules retained the top 24.3% slice of 2024 revenue; however, governance-centric solutions are rising fastest at 17.3% CAGR, pushed by greenhouse-gas-reporting mandates emerging from the EU Corporate Sustainability Reporting Directive. IT and telecommunications contributed the largest 22.8% vertical share in 2024, while healthcare and life sciences climbed at a 16.8% CAGR through 2030 as AI enters diagnosis, patient-workflow and life-science research and development. Regionally, North America led with 37.1% revenue in 2024, yet Asia-Pacific will outpace all others at 17.5% CAGR, underpinned by expanding data-center capacity-12,206 MW active and 14,338 MW in development. Mergers and acquisitions activity signals intensifying competition: Salesforce agreed to purchase Informatica for USD 8 billion in May 2025, and Alteryx was taken private for USD 4.4 billion in March 2024.

Global Data Preparation Market Trends and Insights

Accelerated Shift to Low-/No-Code Self-Service Analytics Tools

Low-code interfaces are redefining the data preparation market by enabling business specialists to build pipelines via drag-and-drop designs rather than scripts. Google Cloud's BigQuery data preparation illustrates the trend, offering AI guidance that cleans, profiles and transforms data with natural-language prompts. The approach reduces reliance on scarce data engineers, shortens development cycles and aligns analytics delivery with domain expertise. GenAI-powered augmentation is spreading quickly; industry forecasts suggest nearly all BI platforms will embed GenAI by 2026. Adoption, however, requires diligent governance to keep proliferating citizen-built flows aligned with enterprise quality and security standards.

Surging Cloud Adoption Among SME Analytics Teams

SMEs are scaling cloud-native pipelines to close capability gaps with larger rivals, driving incremental demand across Asia-Pacific where 60% of firms plan AI language-model implementation by 2025. Cloud elasticity and consumption pricing let smaller firms avoid capital expenses while accessing advanced data-prep functions. UK research shows sub-1% of SMEs exploit big-data analytics today, underscoring runway as cost and complexity hurdles fall. Yet skills shortages persist; managed service providers are stepping in to configure pipelines and enforce compliance, particularly around emerging data-localization rules.

Skills Gap for Complex Data-Governance Configuration

Nearly one-third of CIOs cite data-management complexity as a critical obstacle, and shortages of governance specialists delay the rollout of scalable pipelines. The challenge intensifies where legislation such as California's climate-disclosure rule mandates automated capture of Scope 1-3 emissions. Emerging markets face deeper shortages as academic programs lag, pushing firms toward external consultants and managed-service contracts that inflate deployment budgets.

Other drivers and restraints analyzed in the detailed report include:

  1. Integration of GenAI Copilots Inside Data-Prep Workflows
  2. Vendor Bundling of Data-Prep Modules into Broader Data-Fabric Suites
  3. Steep Total Cost of Ownership for Multi-Cloud Data Pipelines

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

The data preparation market size for on-premises platforms totaled USD 4.57 billion in 2024, translating to 65.7% data preparation market share, a reflection of enterprise demand for direct control amid tougher localization rules. Vietnam's Data Law and India's Digital Personal Data Protection Rules reinforce on-prem and sovereign-cloud models that keep sensitive records within national borders. Cloud services, though smaller, are projected to compound at 17.8% through 2030 as SMEs and digitally native units prioritize agility. In North America, hybrid blueprints predominate, fusing local clusters for regulated data with hyperscale reservoirs for lower-risk workloads. Cloud providers respond with dedicated regional instances and encrypted-key control to offset compliance fears, widening adoption beyond traditional tech hubs as smaller cities gain direct-connect fiber.

The economic calculus hinges on workload variability: steady ETL batches and predictable enrichment jobs remain on-prem due to licensing amortization, while bursty AI inference and citizen-developer sandboxes migrate to pay-as-you-go clouds. Over half of multinationals are expected to run sovereign-cloud instances by 2029, creating demand for seamless policy enforcement across private, public and edge nodes. Vendors now emphasize unified control planes that propagate data-quality rules and lineage graphs no matter the substrate.

Large corporations generated USD 4.79 billion revenue in 2024, equal to 68.9% of the data preparation market, supported by dedicated governance teams and global footprints. Their spend skew favors platform bundles that integrate catalog, lineage and observability into existing data fabrics. Conversely, SMEs contributed USD 2.16 billion yet will outgrow other cohorts at 18.1% CAGR, lifting the data preparation market size for SME solutions to a projected USD 5.6 billion by 2030. Consumption billing and automated schema-detection reduce capital obstacles, enabling regional retailers, fintechs and SaaS start-ups to achieve parity with incumbents.

A Small Business Institute Journal survey shows 70% of U.S. SMEs acknowledge analytics value, but only a minority has in-house talent to execute end-to-end pipelines. Low-code cloud workbenches and managed-service ecosystems fill gaps, while industry associations offer modular training to accelerate citizen usage. Challenges persist in developing policy frameworks that map to emerging AI-act obligations, creating openings for channel partners specializing in compliance overlays.

The Data Preparation Market Report is Segmented by Deployment (On-Premises and Cloud), Enterprise Size (Small and Medium Enterprises (SMEs) and Large Enterprises), Solution Type (Data Ingestion, Data Cataloging, and More), End-User Vertical (BFSI, Healthcare and Life Sciences, and More), and Geography.

Geography Analysis

North America's USD 2.58 billion spend in 2024 reflected 37.1% data preparation market share, an outcome of early AI experimentation and dense vendor ecosystems. California's climate-disclosure statute compels companies above USD 1 billion revenue to publish Scope 1-3 emissions, reinforcing governance-tool demand across the continent. Multinationals headquartered elsewhere yet active in the United States must still report, extending influence beyond borders. Canada advances parallel frameworks through Bill C-27's Consumer Privacy Protection Act, while Mexico's data-localization proposals are prompting hybrid-cloud blueprints for cross-border maquiladora supply chains. The region's investment focus has pivoted from initial ingestion capabilities to advanced observability and automated remediation that reduce operational toil.

Asia-Pacific is the fastest climber, expanding 17.5% annually as public-cloud growth surpasses other regions. China's 83% GenAI adoption manifests in aggressive pipeline modernization, while South Korea and Japan allocate national AI funds to health-record digitization and smart-factory programs. Vietnam's Data Law and India's DPDP Rules trigger data-residency layers within multinational stacks, increasing on-prem edge deployments and stimulating demand for integrated policy engines. Australian enterprises face new Critical Infrastructure Security obligations that require real-time anomaly detection in upstream data-prep stages. Meanwhile, Singapore's IMDA grants push SMEs to cloud services, reinforcing the region's mass-market momentum.

Europe posts steady mid-teens growth as ESG mandates drive "report-ready" pipeline investments. The EU Corporate Sustainability Reporting Directive forces roughly 50,000 firms to log greenhouse-gas metrics using consistent taxonomies, elevating data catalog and quality tooling to the executive agenda. Germany and France lead spend, though momentum accelerates in Italy and Spain as Recovery and Resilience Facility grants underwrite digital-transition projects. The EU AI Act requires transparency, bias monitoring and human-oversight logs, deepening the need for secure lineage archives that span edge nodes and hyperscaler zones. Eastern European states ramp local-cloud capacity to keep citizen data domestic, encouraging partnerships between regional telcos and global hyperscalers.

  1. Alteryx Inc.
  2. Informatica LLC
  3. IBM Corporation
  4. Microsoft Corporation
  5. Tableau Software LLC (Salesforce)
  6. SAP SE
  7. SAS Institute Inc.
  8. QlikTech International AB
  9. TIBCO Software Inc.
  10. Talend SA
  11. Oracle Corporation
  12. Trifacta Inc. (Google)
  13. Databricks Inc.
  14. Snowflake Inc.
  15. Dataiku SAS
  16. MicroStrategy Inc.
  17. RapidMiner Inc.
  18. Paxata Inc. (DataRobot)
  19. Unifi Software Inc.
  20. Denodo Technologies Inc.

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 LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Accelerated shift to low-/no-code self-service analytics tools
    • 4.2.2 Surging cloud adoption among SME analytics teams
    • 4.2.3 Integration of GenAI copilots inside data-prep workflows
    • 4.2.4 Vendor bundling of data-prep modules into broader data-fabric suites
    • 4.2.5 Rapid rise of domain-specific 'vertical AI' data-prep pipelines
    • 4.2.6 Sovereign-cloud rules fuelling on-prem / hybrid repatriation
  • 4.3 Market Restraints
    • 4.3.1 Skills gap for complex data-governance configuration
    • 4.3.2 Steep total cost of ownership for multi-cloud data-pipelines
    • 4.3.3 Escalating data-sovereignty penalties in emerging markets
    • 4.3.4 Carbon-footprint quotas pushing back on compute-heavy prep jobs
  • 4.4 Value Chain Analysis
  • 4.5 Technological Outlook
  • 4.6 Porter's Five Forces Analysis
    • 4.6.1 Bargaining Power of Suppliers
    • 4.6.2 Bargaining Power of Buyers
    • 4.6.3 Threat of New Entrants
    • 4.6.4 Threat of Substitutes
    • 4.6.5 Intensity of Competitive Rivalry
  • 4.7 Assessment of the Impact of Macroeconomic Trends on the Market

5 MARKET SIZE AND GROWTH FORECASTS (VALUE)

  • 5.1 By Deployment
    • 5.1.1 On-premises
    • 5.1.2 Cloud
  • 5.2 By Enterprise Size
    • 5.2.1 Small and Medium Enterprises (SMEs)
    • 5.2.2 Large Enterprises
  • 5.3 By Solution Type
    • 5.3.1 Data Ingestion
    • 5.3.2 Data Cataloging
    • 5.3.3 Data Quality
    • 5.3.4 Data Governance
    • 5.3.5 Data Wrangling
    • 5.3.6 Data Enrichment
  • 5.4 By End-user Vertical
    • 5.4.1 BFSI
    • 5.4.2 Healthcare and Life Sciences
    • 5.4.3 Retail and e-Commerce
    • 5.4.4 Manufacturing and Industrial
    • 5.4.5 IT and Telecommunications
    • 5.4.6 Government and Public Sector
    • 5.4.7 Others (Energy, Education, Media)
  • 5.5 By Geography
    • 5.5.1 North America
      • 5.5.1.1 United States
      • 5.5.1.2 Canada
      • 5.5.1.3 Mexico
    • 5.5.2 Europe
      • 5.5.2.1 Germany
      • 5.5.2.2 United Kingdom
      • 5.5.2.3 France
      • 5.5.2.4 Italy
      • 5.5.2.5 Spain
      • 5.5.2.6 Russia
      • 5.5.2.7 Rest of Europe
    • 5.5.3 Asia-Pacific
      • 5.5.3.1 China
      • 5.5.3.2 Japan
      • 5.5.3.3 India
      • 5.5.3.4 South Korea
      • 5.5.3.5 Australia and New Zealand
      • 5.5.3.6 Rest of Asia-Pacific
    • 5.5.4 South America
      • 5.5.4.1 Brazil
      • 5.5.4.2 Argentina
      • 5.5.4.3 Rest of South America
    • 5.5.5 Middle East and Africa
      • 5.5.5.1 Middle East
      • 5.5.5.1.1 Saudi Arabia
      • 5.5.5.1.2 United Arab Emirates
      • 5.5.5.1.3 Turkey
      • 5.5.5.1.4 Rest of Middle East
      • 5.5.5.2 Africa
      • 5.5.5.2.1 South Africa
      • 5.5.5.2.2 Nigeria
      • 5.5.5.2.3 Rest of Africa

6 COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
    • 6.4.1 Alteryx Inc.
    • 6.4.2 Informatica LLC
    • 6.4.3 IBM Corporation
    • 6.4.4 Microsoft Corporation
    • 6.4.5 Tableau Software LLC (Salesforce)
    • 6.4.6 SAP SE
    • 6.4.7 SAS Institute Inc.
    • 6.4.8 QlikTech International AB
    • 6.4.9 TIBCO Software Inc.
    • 6.4.10 Talend SA
    • 6.4.11 Oracle Corporation
    • 6.4.12 Trifacta Inc. (Google)
    • 6.4.13 Databricks Inc.
    • 6.4.14 Snowflake Inc.
    • 6.4.15 Dataiku SAS
    • 6.4.16 MicroStrategy Inc.
    • 6.4.17 RapidMiner Inc.
    • 6.4.18 Paxata Inc. (DataRobot)
    • 6.4.19 Unifi Software Inc.
    • 6.4.20 Denodo Technologies Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-need Assessment