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1945975

全球自助式分析市場：預測（至 2034 年）－按分析功能、使用者技能等級、部署方式、資料來源連接方式、最終使用者和地區分類的分析市場

Self-Service Analytics Market Forecasts to 2034 - Global Analysis By Analytics Capability, User Skill Level, Deployment Mode, Data Source Connectivity, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的研究，預計到 2026 年，全球自助式分析市場規模將達到 135.4 億美元，在預測期內以 18.8% 的複合年成長率成長，到 2034 年將達到 537.5 億美元。

自助式分析是指資料分析工具和平台，它使一般使用者（包括不具備技術專長的業務使用者）無需依賴 IT 團隊或資料科學家，即可獨立存取、探索、分析和視覺化資料。借助直覺的介面、拖放功能和自動化分析能力，使用者可以自行建立報告和儀表板並提取洞察。自助式分析透過資料存取的民主化，加速決策制定，提升營運敏捷性，並在整個組織內培養資料驅動型文化。這些解決方案通常在保持使用者柔軟性的同時，透過與多個資料來源整合並應用管治，確保資料的準確性、一致性和安全性。

對數據驅動決策的需求日益成長

企業越來越依賴分析來支援策略規劃、客戶參與和營運效率。自助式工具使業務用戶無需過度依賴IT團隊即可獲取洞察。人工智慧、物聯網和雲端應用的日益普及進一步提升了對直覺易用的分析解決方案的需求。企業優先考慮能夠提供即時洞察並實現跨職能數據存取民主化的平台。因此，對數據驅動決策的需求成為市場成長的主要驅動力。

熟練分析專家短缺

實施高階分析需要資料科學、視覺化和管治的專業知識。訓練有素的人員短缺會導致計劃延期和成本增加。中小企業在招募和留住人才方面面臨嚴峻的挑戰。這種短缺也會增加關鍵實施階段管理不善的風險。因此，缺乏熟練的專業人才成為市場擴張的主要阻礙因素。

人工智慧驅動的洞察和自動化功能

智慧自動化減少了資料準備、清洗和視覺化方面的人工工作。人工智慧驅動的平台提高了分散式資料生態系統的準確性和擴充性。企業利用自動化來提高效率並加快決策速度。機器學習和自然語言處理的日益普及進一步推動了對人工智慧分析的需求。因此，人工智慧驅動的洞察力成為創新和成長的催化劑。

日益加劇的網路安全和隱私風險

複雜的網路攻擊以雲端和混合環境中的敏感企業資料為目標。資料隱私監管框架使跨區域部署變得更加複雜。資料外洩和違規會為企業帶來聲譽和經濟損失。供應商必須不斷調整其平台以降低不斷變化的風險。總體而言，網路安全和隱私挑戰仍然是持續部署的主要威脅。

新冠疫情的感染疾病：

新冠疫情加速了數位轉型，並推動了自助式分析平台的需求。遠距辦公、電子商務和線上協作產生了前所未有的數據量。企業將分析置於優先地位，以確保疫情期間業務的連續性和韌性。然而，預算限制延緩了某些產業的大規模應用。隨著企業尋求柔軟性和擴充性，基於雲端的分析方法日益受到關注。總而言之，新冠疫情既是分析方法創新的阻礙因素，也是其發展的促進者力。

在預測期內，視覺分析領域預計將佔據最大的市場佔有率。

在預測期內，視覺化分析領域預計將佔據最大的市場佔有率，這主要得益於其簡化複雜資料的能力。視覺化工具能夠為業務使用者提供直覺的儀錶板、圖表和互動式報告。企業正依靠視覺化分析來實現數據存取的普及化，並改善決策。對即時視覺化日益成長的需求正在加速其在各行業的應用。雲端平台進一步提升了視覺化分析的擴充性和可存取性。因此，可視化分析作為最大的細分市場，佔據了市場主導地位。

預計在預測期內，即時數據流部分將呈現最高的複合年成長率。

在預測期內，即時資料流細分市場預計將呈現最高的成長率，這主要得益於企業對即時洞察日益成長的需求。即時分析是金融、醫療保健和零售等關鍵業務應用的基礎。物聯網和5G的不斷擴展部署，也使得企業對流資料平台的依賴性日益增強。人工智慧驅動的系統能夠提升即時環境下的預測建模和異常檢測能力。企業正在加大對流分析的投資，以改善客戶體驗和營運效率。因此，即時數據流正在成為市場中成長最快的細分領域。

市佔率最大的地區：

在整個預測期內，北美預計將憑藉其成熟的數位生態系統和健全的監管法規結構，保持最大的市場佔有率。亞馬遜雲端服務 (AWS)、微軟 Azure、谷歌雲端和 Meta 等超大規模雲端服務供應商的存在，正推動對分析平台的集中投資。企業正優先考慮自助式分析，以滿足嚴格的合規性和性能要求。醫療保健、金融和政府部門的大力應用，進一步提振了市場需求。該地區受益於高網路普及率和廣泛的數位轉型措施。對人工智慧驅動的分析技術的投資以及與技術提供者的夥伴關係，將進一步鞏固其市場領導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於爆炸性的數位成長和不斷改進的法規結構。網路普及率的提高和行動優先經濟的興起正在推動超大規模和企業數據的擴張。中國、印度和東南亞各國政府正在大力投資數位基礎設施和合規標準。 5G和物聯網應用的快速普及增加了對分析平台的依賴。政府對數位轉型的補貼和激勵措施正在加速企業和Start-Ups採用數位化技術。新興中小企業也為日益成長的對具成本效益分析解決方案的需求做出了顯著貢獻。

免費客製化服務：

訂閱本報告的用戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他公司（最多 3 家公司）進行全面分析
    • 對主要企業進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶興趣量身定做的主要國家/地區的市場估算、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對主要企業進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 成長要素、挑戰與機遇
  • 競爭格局概述
  • 戰略考慮和建議

第2章：分析框架

  • 分析的目標和範圍
  • 相關人員分析
  • 分析的前提條件與限制
  • 分析方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 科技與創新趨勢
  • 新興市場和高成長市場
  • 監管和政策環境
  • 感染疾病的影響及恢復前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商議價能力
    • 買方的議價能力
    • 替代產品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要企業市佔率分析
  • 產品基準評效和效能比較

第5章：全球自助式分析市場：依分析功能分類

  • 資料發現與探索
  • 視覺化分析
  • 診斷分析
  • 預測分析
  • 指示性分析
  • 擴展分析
  • 其他分析功能

第6章：全球自助式分析市場：依使用者技能等級分類

  • 非技術型業務用戶
  • 電力用戶
  • 資料分析師
  • 數據科學家
  • 進階用戶
  • 其他使用者技能水平

第7章：全球自助式分析市場：依部署方式分類

  • 基於雲端的平台
  • 本地部署平台

第8章：全球自助式分析市場：以資料來源連結方式分類

  • 結構化資料來源
  • 半結構化資料來源
  • 非結構化資料來源
  • 即時數據串流
  • 第三方資料來源
  • 其他資料來源連接方式

第9章 全球自助式分析市場：依最終用戶分類

  • BFSI
  • 零售與電子商務
  • 醫學與生命科​​學
  • IT/通訊
  • 製造業
  • 政府/公共部門
  • 其他最終用戶

第10章：全球自助式分析市場：依地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 亞太其他地區
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 南美洲其他地區
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第11章 策略市場資訊

  • 產業加值網路與供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第12章 產業趨勢與策略舉措

  • 企業合併（M&A）
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第13章：公司簡介

  • Microsoft Corporation
  • IBM Corporation
  • Oracle Corporation
  • SAP SE
  • SAS Institute Inc.
  • QlikTech International AB (Qlik)
  • Tableau Software, LLC
  • TIBCO Software Inc.
  • MicroStrategy Incorporated
  • Alteryx, Inc.
  • ThoughtSpot, Inc.
  • Sisense Inc.
  • Zoho Corporation Pvt. Ltd.
  • Domo, Inc.
  • Looker Data Sciences, Inc.
Product Code: SMRC33735

According to Stratistics MRC, the Global Self-Service Analytics Market is accounted for $13.54 billion in 2026 and is expected to reach $53.75 billion by 2034 growing at a CAGR of 18.8% during the forecast period. Self-service analytics refers to data analysis tools and platforms that enable business users, including non-technical professionals, to access, explore, analyze, and visualize data independently without relying heavily on IT teams or data scientists. It empowers users to generate reports, dashboards, and insights using intuitive interfaces, drag-and-drop features, and automated analytics capabilities. By democratizing data access, self-service analytics accelerates decision-making, improves operational agility, and fosters a data-driven culture across organizations. These solutions often integrate with multiple data sources and apply governance controls to ensure data accuracy, consistency, and security while maintaining user flexibility.

Market Dynamics:

Driver:

Rising demand for data-driven decision making

Enterprises increasingly rely on analytics to support strategic planning, customer engagement, and operational efficiency. Self-service tools empower business users to access insights without heavy reliance on IT teams. Rising adoption of AI, IoT, and cloud applications amplifies the need for intuitive analytics solutions. Organizations prioritize platforms that enable real-time insights and democratize data access across departments. Consequently, demand for data-driven decision making acts as a primary driver for market growth.

Restraint:

Shortage of skilled analytical professionals

Implementing advanced analytics requires expertise in data science, visualization, and governance. Limited availability of trained personnel delays projects and raises costs. Smaller enterprises face acute challenges in attracting and retaining talent. Workforce gaps also increase risks of mismanagement during critical deployment phases. As a result, the shortage of skilled professionals acts as a key restraint on market expansion.

Opportunity:

AI-powered insights and automation features

Intelligent automation reduces manual effort in data preparation, cleansing, and visualization. AI-driven platforms enhance accuracy and scalability across distributed data ecosystems. Enterprises leverage automation to improve efficiency and accelerate decision-making. Rising adoption of machine learning and natural language processing amplifies demand for AI-enabled analytics. Therefore, AI-powered insights act as a catalyst for innovation and growth.

Threat:

Increasing cybersecurity and privacy risks

Sophisticated cyberattacks target sensitive enterprise data across cloud and hybrid environments. Regulatory frameworks governing data privacy complicate deployment across multiple regions. Enterprises face reputational and financial damage from breaches or compliance failures. Vendors must continuously adapt platforms to mitigate evolving risks. Collectively, cybersecurity and privacy challenges remain a major threat to sustained adoption.

Covid-19 Impact:

The Covid-19 pandemic accelerated digital adoption, boosting demand for self-service analytics platforms. Remote work, e-commerce, and online collaboration drove unprecedented data volumes. Enterprises prioritized analytics to ensure continuity and resilience during disruptions. However, budget constraints in certain industries delayed large-scale deployments. Cloud-based analytics gained traction as organizations sought flexibility and scalability. Overall, Covid-19 acted as both a disruptor and a catalyst for innovation in analytics practices.

The visual analytics segment is expected to be the largest during the forecast period

The visual analytics segment is expected to account for the largest market share during the forecast period due to its ability to simplify complex data. Visual tools enable intuitive dashboards, charts, and interactive reports for business users. Enterprises rely on visual analytics to democratize data access and improve decision-making. Rising demand for real-time visualization intensifies adoption across industries. Cloud-based platforms further enhance scalability and accessibility of visual analytics. Consequently, visual analytics dominates the market as the largest segment.

The real-time data streams segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the real-time data streams segment is predicted to witness the highest growth rate as enterprises prioritize instant insights. Real-time analytics supports mission-critical applications in finance, healthcare, and retail. Rising adoption of IoT and 5G intensifies reliance on streaming data platforms. AI-driven systems enhance predictive modeling and anomaly detection in real-time environments. Enterprises increasingly invest in streaming analytics to improve customer experiences and operational efficiency. Therefore, real-time data streams emerge as the fastest-growing segment in the market.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to its mature digital ecosystem and strong regulatory frameworks. The presence of hyperscale operators such as Amazon Web Services, Microsoft Azure, Google Cloud, and Meta drives concentrated investment in analytics platforms. Enterprises prioritize self-service analytics to meet stringent compliance and performance requirements. Strong adoption across healthcare, finance, and government sectors reinforces demand. The region benefits from high internet penetration and widespread digital transformation initiatives. Investments in AI-enabled analytics and partnerships with technology providers further strengthen market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR due to explosive digital growth and evolving regulatory frameworks. Rising internet penetration and mobile-first economies fuel hyperscale and enterprise data expansion. Governments in China, India, and Southeast Asia are investing heavily in digital infrastructure and compliance standards. Rapid adoption of 5G and IoT applications intensifies reliance on analytics platforms. Subsidies and incentives for digital transformation accelerate adoption across enterprises and startups. Emerging SMEs also contribute significantly to rising demand for cost-effective analytics solutions.

Key players in the market

Some of the key players in Self-Service Analytics Market include Microsoft Corporation, IBM Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., QlikTech International AB (Qlik), Tableau Software, LLC, TIBCO Software Inc., MicroStrategy Incorporated, Alteryx, Inc., ThoughtSpot, Inc., Sisense Inc., Zoho Corporation Pvt. Ltd., Domo, Inc. and Looker Data Sciences, Inc.

Key Developments:

In November 2025, Microsoft and KPMG announced an expanded global alliance to deliver industry-specific Fabric solutions, integrating KPMG's data models with Microsoft's analytics platform to accelerate AI-powered insights for enterprise clients. This strategic partnership is designed to lower the barrier to advanced analytics for business users in regulated sectors like financial services and healthcare.

In October 2024, IBM and Salesforce expanded their partnership to integrate IBM's watsonx.ai and data platform with Salesforce's Einstein 1 Platform. This collaboration aims to provide joint customers with trusted AI and self-service analytics capabilities directly within their CRM workflows.

Analytic Capabilities Covered:

  • Data Discovery & Exploration
  • Visual Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Augmented Analytics
  • Other Analytic Capabilities

User Skill Levels Covered:

  • Non-Technical Business Users
  • Power Users
  • Data Analysts
  • Data Scientists
  • Executive Users
  • Other User Skill Levels

Deployment Modes Covered:

  • Cloud-Based Platforms
  • On-Premises Platforms

Data Source Connectivities Covered:

  • Structured Data Sources
  • Semi-Structured Data Sources
  • Unstructured Data Sources
  • Real-Time Data Streams
  • Third-Party Data Sources
  • Other Data Source Connectivities

End Users Covered:

  • BFSI
  • Retail & E-Commerce
  • Healthcare & Life Sciences
  • IT & Telecom
  • Manufacturing
  • Government & Public Sector
  • Other End Users

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 3032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Self-Service Analytics Market, By Analytics Capability

  • 5.1 Data Discovery & Exploration
  • 5.2 Visual Analytics
  • 5.3 Diagnostic Analytics
  • 5.4 Predictive Analytics
  • 5.5 Prescriptive Analytics
  • 5.6 Augmented Analytics
  • 5.7 Other Analytic Capabilities

6 Global Self-Service Analytics Market, By User Skill Level 28

  • 6.1 Non-Technical Business Users
  • 6.2 Power Users
  • 6.3 Data Analysts
  • 6.4 Data Scientists
  • 6.5 Executive Users
  • 6.6 Other User Skill Levels

7 Global Self-Service Analytics Market, By Deployment Mode

  • 7.1 Cloud-Based Platforms
  • 7.2 On-Premises Platforms

8 Global Self-Service Analytics Market, By Data Source Connectivity

  • 8.1 Structured Data Sources
  • 8.2 Semi-Structured Data Sources
  • 8.3 Unstructured Data Sources
  • 8.4 Real-Time Data Streams
  • 8.5 Third-Party Data Sources
  • 8.6 Other Data Source Connectivities

9 Global Self-Service Analytics Market, By End User

  • 9.1 BFSI
  • 9.2 Retail & E-Commerce
  • 9.3 Healthcare & Life Sciences
  • 9.4 IT & Telecom
  • 9.5 Manufacturing
  • 9.6 Government & Public Sector
  • 9.7 Other End Users

10 Global Self-Service Analytics Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.10 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.10 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Microsoft Corporation
  • 13.2 IBM Corporation
  • 13.3 Oracle Corporation
  • 13.4 SAP SE
  • 13.5 SAS Institute Inc.
  • 13.6 QlikTech International AB (Qlik)
  • 13.7 Tableau Software, LLC
  • 13.8 TIBCO Software Inc.
  • 13.9 MicroStrategy Incorporated
  • 13.10 Alteryx, Inc.
  • 13.11 ThoughtSpot, Inc.
  • 13.12 Sisense Inc.
  • 13.13 Zoho Corporation Pvt. Ltd.
  • 13.14 Domo, Inc.
  • 13.15 Looker Data Sciences, Inc.

List of Tables

  • Table 1 Global Self-Service Analytics Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Self-Service Analytics Market, By Analytics Capability (2023-2034) ($MN)
  • Table 3 Global Self-Service Analytics Market, By Data Discovery & Exploration (2023-2034) ($MN)
  • Table 4 Global Self-Service Analytics Market, By Visual Analytics (2023-2034) ($MN)
  • Table 5 Global Self-Service Analytics Market, By Diagnostic Analytics (2023-2034) ($MN)
  • Table 6 Global Self-Service Analytics Market, By Predictive Analytics (2023-2034) ($MN)
  • Table 7 Global Self-Service Analytics Market, By Prescriptive Analytics (2023-2034) ($MN)
  • Table 8 Global Self-Service Analytics Market, By Augmented Analytics (2023-2034) ($MN)
  • Table 9 Global Self-Service Analytics Market, By Other Analytic Capabilities (2023-2034) ($MN)
  • Table 10 Global Self-Service Analytics Market, By User Skill Level (2023-2034) ($MN)
  • Table 11 Global Self-Service Analytics Market, By Non-Technical Business Users (2023-2034) ($MN)
  • Table 12 Global Self-Service Analytics Market, By Power Users (2023-2034) ($MN)
  • Table 13 Global Self-Service Analytics Market, By Data Analysts (2023-2034) ($MN)
  • Table 14 Global Self-Service Analytics Market, By Data Scientists (2023-2034) ($MN)
  • Table 15 Global Self-Service Analytics Market, By Executive Users (2023-2034) ($MN)
  • Table 16 Global Self-Service Analytics Market, By Other User Skill Levels (2023-2034) ($MN)
  • Table 17 Global Self-Service Analytics Market, By Deployment Mode (2023-2034) ($MN)
  • Table 18 Global Self-Service Analytics Market, By Cloud-Based Platforms (2023-2034) ($MN)
  • Table 19 Global Self-Service Analytics Market, By On-Premises Platforms (2023-2034) ($MN)
  • Table 23 Global Self-Service Analytics Market, By Data Source Connectivity (2023-2034) ($MN)
  • Table 24 Global Self-Service Analytics Market, By Structured Data Sources (2023-2034) ($MN)
  • Table 25 Global Self-Service Analytics Market, By Semi-Structured Data Sources (2023-2034) ($MN)
  • Table 26 Global Self-Service Analytics Market, By Unstructured Data Sources (2023-2034) ($MN)
  • Table 27 Global Self-Service Analytics Market, By Real-Time Data Streams (2023-2034) ($MN)
  • Table 28 Global Self-Service Analytics Market, By Third-Party Data Sources (2023-2034) ($MN)
  • Table 29 Global Self-Service Analytics Market, By Other Data Source Connectivities (2023-2034) ($MN)
  • Table 30 Global Self-Service Analytics Market, By End User (2023-2034) ($MN)
  • Table 31 Global Self-Service Analytics Market, By BFSI (2023-2034) ($MN)
  • Table 32 Global Self-Service Analytics Market, By Retail & E-Commerce (2023-2034) ($MN)
  • Table 33 Global Self-Service Analytics Market, By Healthcare & Life Sciences (2023-2034) ($MN)
  • Table 34 Global Self-Service Analytics Market, By IT & Telecom (2023-2034) ($MN)
  • Table 35 Global Self-Service Analytics Market, By Manufacturing (2023-2034) ($MN)
  • Table 36 Global Self-Service Analytics Market, By Government & Public Sector (2023-2034) ($MN)
  • Table 37 Global Self-Service Analytics Market, By Other End Users (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) are also represented in the same manner as above.