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市場調查報告書
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1725176

2032 年分析即服務市場預測：按資料類型、服務類型、技術、應用、最終用戶和地區進行的全球分析

Analytics as a Service Market Forecasts to 2032 - Global Analysis By Data Type (Structured Data, Unstructured Data and Semi-Structured Data), Service Type, Technology, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，全球分析即服務市場預計在 2025 年達到 143 億美元，到 2032 年將達到 745 億美元，預測期內的複合年成長率為 26.6%。

AaaS（分析即服務）是一種雲端基礎的解決方案，可透過網際網路提供資料分析工具和功能。它使企業無需投資昂貴的硬體、軟體或專業人員即可分析大量數據。 AaaS 提供資料探勘、預測分析和資料視覺化等服務，幫助企業了解趨勢、做出明智的決策並最佳化績效。它具有擴充性、靈活性和成本效益，使各種規模的企業都可以進行高級分析。

根據 Sprout Social Index 的數據，71% 的消費者在 Facebook 上花費大量時間。透過 Facebook Analytics 數據，品牌可以追蹤消費者旅程並找到更有效接觸受眾的方法。

雲端運算的採用率不斷提高

雲端運算的日益普及極大地推動了市場的成長。企業正在利用雲端平台，因為它們具有可擴展性、成本效益，並且無需大量基礎設施投資即可提供即時洞察。雲端基礎的分析解決方案為企業提供按需存取進階工具和資料處理功能，以推動更好的決策。這種轉變對中小型企業尤其有吸引力，它們受益於雲端基礎的AaaS 解決方案提供的靈活性和降低的營運複雜性。

對資料處理和合規性的懷疑

對於資料處理和合規性的懷疑對市場成長構成了重大挑戰。對資料隱私、安全漏洞和法規遵循的擔憂，尤其是 GDPR 和 CCPA 等嚴格法律的擔憂，使得企業不願意完全採用雲端基礎的分析解決方案。對失去對敏感資料的控制的擔憂以及對潛在法律後果的擔憂阻礙了技術的採用，尤其是在受到嚴格監管的行業中。缺乏信任可能會減緩市場擴張並阻礙 AaaS 優勢的實現。

物聯網設備的普及與數位轉型

物聯網設備的普及和數位轉型的推動正在刺激市場擴張。物聯網會產生大量即時數據，需要進階分析才能得出可行的見解。 AaaS 平台提供可擴展的雲端基礎的解決方案，可以有效地處理這些資料湧入。隨著企業進行數位轉型，他們更加依賴 AaaS 來提高業務效率、客戶體驗和策略決策，使分析成為其數位生態系統的重要組成部分。

對基礎設施的控制有限

對基礎設施的控制有限是造成市場負面影響的一個主要問題。 AaaS 解決方案通常託管在第三方雲端平台上，這意味著公司通常無法直接控制底層硬體和軟體環境。這可能會導致客製化、效能最佳化和與現有系統整合的問題。這些限制可能會對具有複雜 IT 需求和嚴格合規性要求的企業造成拖累，最終阻礙他們將關鍵分析業務完全轉移到 AaaS 解決方案。

COVID-19的影響

COVID-19 疫情對市場產生了多種影響。一方面，隨著企業尋求敏捷、數據驅動的解決方案以適應快速變化的條件，數位轉型加速。即時分析的需求激增，推動了醫療保健、零售和物流等領域採用 AaaS。同時，一些公司由於預算限制和經濟不確定性而推遲了分析投資。儘管最初遭遇挫折，但長期影響是積極的，AaaS 在疫情後的復甦策略中發揮關鍵作用。

資料管理服務部門預計將成為預測期內最大的部門

預計預測期內資料管理服務部門將佔據最大的市場佔有率。這些服務包括資料整合、管治、品質保證和分析，全部透過雲端基礎的模型提供。透過將不同的資料來源整合到一個集中式平台上，企業可以確保即時存取、增強資料安全性並保持符合監管標準。這種方法不僅降低了營運成本，而且還加速了數據主導的決策，使其成為任何現代分析策略的基石。

預計客戶分析部門在預測期內將實現最高複合年成長率

雲端基礎的工具使企業能夠獲得即時洞察，有助於個人化行銷策略、提高客戶維繫並增強決策能力。 AaaS 平台簡化了複雜的分析，使各種規模的企業都可以使用。這種數據主導的方法使公司能夠根據特定客戶的需求量身定做產品、服務和通訊，從而推動成長和競爭優勢。

佔比最大的地區：

在預測期內，亞太地區預計將佔據最大的市場佔有率，這得益於零售、醫療保健和金融等行業對數據主導洞察的需求不斷成長。該地區不斷擴大的數位轉型計劃，加上雲端運算技術的不斷普及，正在推動這一成長。企業正在將 AaaS 作為一種可擴展、經濟高效的解決方案來分析大量數據、增強決策能力並提高業務效率，使其成為該地區商業創新和競爭力的關鍵推動因素。

複合年成長率最高的地區：

預計北美地區在預測期內將呈現最高的複合年成長率。雲端基礎的解決方案、進階分析和機器學習功能使企業能夠在降低營運成本的同時獲得有價值的見解。該市場受益於高技術採用率、主要企業的存在和良好的商業環境。隨著企業繼續優先考慮數據分析，北美 AaaS 市場將在未來幾年大幅擴張。

提供免費客製化：

訂閱此報告的客戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他市場公司（最多 3 家公司）進行全面分析
    • 主要企業的SWOT分析（最多3家公司）
  • 地理細分
    • 根據客戶興趣對主要國家市場進行估計、預測和複合年成長率（註：基於可行性檢查）
  • 競爭基準化分析
    • 根據產品系列、地理分佈和策略聯盟對主要企業基準化分析

目錄

第1章執行摘要

第2章 前言

  • 概述
  • 相關利益者
  • 研究範圍
  • 調查方法
    • 資料探勘
    • 數據分析
    • 數據檢驗
    • 研究途徑
  • 研究材料
    • 主要研究資料
    • 次級研究資訊來源
    • 先決條件

第3章市場走勢分析

  • 驅動程式
  • 限制因素
  • 機會
  • 威脅
  • 技術分析
  • 應用分析
  • 最終用戶分析
  • 新興市場
  • COVID-19的影響

第4章 波特五力分析

  • 供應商的議價能力
  • 買家的議價能力
  • 替代品的威脅
  • 新進入者的威脅
  • 競爭對手之間的競爭

5. 全球分析即服務市場（依資料類型）

  • 結構化資料
  • 非結構化數據
  • 半結構化數據

6. 全球分析即服務市場（依服務類型）

  • 資料管理服務
  • 數據整合服務
  • 諮詢服務
  • 支援和維護服務

7. 全球分析即服務市場（按技術）

  • 人工智慧和機器學習
  • 巨量資料分析
  • 預測分析
  • 指示性分析
  • 說明分析

8. 全球分析即服務市場（按應用）

  • 客戶分析
  • 營運分析
  • 行銷分析
  • 風險與合規性分析
  • 財務分析
  • 其他應用

9. 全球分析即服務市場（以最終用戶分類）

  • 衛生保健
  • 零售
  • 製造業
  • 通訊
  • 能源和公共產業
  • 銀行、金融服務和保險（BFSI）
  • 其他最終用戶

第10章 全球分析即服務市場（按地區）

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 德國
    • 英國
    • 義大利
    • 法國
    • 西班牙
    • 其他歐洲國家
  • 亞太地區
    • 日本
    • 中國
    • 印度
    • 澳洲
    • 紐西蘭
    • 韓國
    • 其他亞太地區
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地區
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 卡達
    • 南非
    • 其他中東和非洲地區

第11章 重大進展

  • 協議、夥伴關係、合作和合資企業
  • 收購與合併
  • 新產品發布
  • 業務擴展
  • 其他關鍵策略

第12章 公司概況

  • IBM
  • Cloudera
  • Microsoft
  • Salesforce
  • Oracle
  • TIBCO Software
  • SAP
  • ScienceSoft
  • Hewlett-Packard Enterprise
  • MicroStrategy
  • SAS Institute
  • Altair
  • Accenture
  • Qlik
  • Google Cloud
  • Teradata
  • Amazon Web Services（AWS）
Product Code: SMRC29322

According to Stratistics MRC, the Global Analytics as a Service Market is accounted for $14.3 billion in 2025 and is expected to reach $74.5 billion by 2032 growing at a CAGR of 26.6% during the forecast period. Analytics as a Service (AaaS) is a cloud-based solution that delivers data analytics tools and capabilities via the internet. It enables organizations to analyze large volumes of data without investing in expensive hardware, software, or specialized personnel. AaaS provides services like data mining, predictive analytics, and data visualization, helping businesses uncover trends, make informed decisions, and optimize performance. It offers scalability, flexibility, and cost-efficiency, making advanced analytics accessible to companies of all sizes.

According to the Sprout Social Index, 71% of consumers spend more time on Facebook. With Facebook analytics data, brands can track the consumer journey and find ways to reach their viewers more efficiently.

Market Dynamics:

Driver:

Increasing adoption of cloud computing

The increasing adoption of cloud computing is significantly driving growth in the market. Organizations are leveraging cloud platforms for their scalability, cost-efficiency, and ability to deliver real-time insights without heavy infrastructure investments. Cloud-based analytics solutions enable businesses to access advanced tools and data processing capabilities on demand, fostering better decision-making. This shift is particularly appealing to small and medium enterprises, which benefit from the flexibility and reduced operational complexity that cloud-based AaaS solutions offer.

Restraint:

Skepticism regarding data handling and compliance

Skepticism regarding data handling and compliance poses a significant challenge to the growth of the market. Concerns over data privacy, security breaches, and regulatory compliance-especially with stringent laws like GDPR and CCPA-make organizations hesitant to fully embrace cloud-based analytics solutions. Fear of losing control over sensitive data and potential legal repercussions can deter adoption, particularly in highly regulated industries. This lack of trust can slow market expansion and hinder the realization of AaaS benefits.

Opportunity:

Proliferation of IoT devices and digital transformation

The proliferation of IoT devices and the push for digital transformation are fueling the expansion of the market. IoT generates massive volumes of real-time data, which requires advanced analytics to extract actionable insights. AaaS platforms offer scalable, cloud-based solutions that can handle this data influx efficiently. As businesses undergo digital transformation, they increasingly rely on AaaS to enhance operational efficiency, customer experiences, and strategic decision-making, making analytics an integral part of their digital ecosystems.

Threat:

Limited control over infrastructure

Limited control over infrastructure is a key concern negatively impacting the market. Since AaaS solutions are typically hosted on third-party cloud platforms, organizations often lack direct control over the underlying hardware and software environments. This can lead to issues with customization, performance optimization, and integration with existing systems. Such limitations may deter enterprises with complex IT needs or strict compliance requirements, ultimately reducing their confidence in fully transitioning to AaaS solutions for critical analytics tasks.

Covid-19 Impact

The COVID-19 pandemic had a mixed impact on the market. On one hand, it accelerated digital transformation as businesses sought agile, data-driven solutions to adapt to rapidly changing conditions. Demand for real-time analytics surged, driving AaaS adoption across sectors like healthcare, retail, and logistics. On the other hand, budget constraints and economic uncertainty led some organizations to delay analytics investments. Despite initial setbacks, the long-term effect has been positive, with AaaS playing a crucial role in post-pandemic recovery strategies.

The data management services segment is expected to be the largest during the forecast period

The data management services segment is expected to account for the largest market share during the forecast period. These services encompass data integration, governance, quality assurance, and analytics, all delivered through a cloud-based model. By consolidating disparate data sources into a centralized platform, businesses can ensure real-time access, enhance data security, and maintain compliance with regulatory standards. This approach not only reduces operational costs but also accelerates data-driven decision-making, making it a cornerstone for modern analytics strategies.

The customer analytics segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the customer analytics segment is predicted to witness the highest growth rate, By using cloud-based tools, businesses can access real-time insights to personalize marketing strategies, improve customer retention, and enhance decision-making. AaaS platforms simplify complex analytics, making it accessible to companies of all sizes. This data-driven approach enables companies to tailor products, services, and communications to meet specific customer needs, driving growth and competitive advantage.

Region with largest share:

During the forecast period, the Asia Pacific region is expected to hold the largest market share due to increasing demand for data-driven insights across industries such as retail, healthcare, and finance. The region's expanding digital transformation initiatives, coupled with a rise in cloud adoption, are driving this growth. Businesses are leveraging AaaS for scalable, cost-effective solutions to analyze vast amounts of data, enhance decision-making, and improve operational efficiency, making it a key enabler of business innovation and competitiveness in the region.

Region with highest CAGR:

Over the forecast period, the North America region is anticipated to exhibit the highest CAGR. Cloud-based solutions, advanced analytics, and machine learning capabilities are enabling businesses to derive valuable insights while reducing operational costs. The market benefits from high technological adoption, a strong presence of key players, and a favorable business environment. As organizations continue to prioritize data analytics, the AaaS market in North America is poised for significant expansion in the coming years.

Key players in the market

Some of the key players profiled in the Analytics as a Service Market include IBM, Cloudera, Microsoft, Salesforce, Oracle, TIBCO Software, SAP, ScienceSoft, Hewlett-Packard Enterprise, MicroStrategy, SAS Institute, Altair, Accenture, Qlik, Google Cloud, Teradata and Amazon Web Services (AWS).

Key Developments:

In September 2024, SAS Institute announced a two-year partnership with Duke Health that would allow the latter to leverage AI, machine learning, and operational analytics capabilities of SAS to advance patient care and healthcare operations.

In August 2024, Palantir Technologies Inc. and Microsoft Corporation announced a significant advancement in their partnership to bring some of the most sophisticated and secure cloud, AI and analytics capabilities to the U.S. Defense and Intelligence Community. This is a first-of-its-kind, integrated suite of technology that will allow critical national security missions to operationalize Microsoft's best-in-class large language models (LLMs) via Azure OpenAI Service within Palantir's AI Platforms (AIP) in Microsoft's government and classified cloud environments.

Data Types Covered:

  • Structured Data
  • Unstructured Data
  • Semi-Structured Data

Service Types Covered:

  • Data Management Services
  • Data Integration Services
  • Consulting Services
  • Support and Maintenance Services

Technologies Covered:

  • Artificial Intelligence and Machine Learning
  • Big Data Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Descriptive Analytics

Applications Covered:

  • Customer Analytics
  • Operational Analytics
  • Marketing Analytics
  • Risk and Compliance Analytics
  • Financial Analytics
  • Other Applications

End Users Covered:

  • Healthcare
  • Retail
  • Manufacturing
  • Telecommunications
  • Energy and Utilities
  • Banking, Financial Services, and Insurance (BFSI)
  • Other End Users

Regions Covered:

  • North America
    • US
    • Canada
    • Mexico
  • Europe
    • Germany
    • UK
    • Italy
    • France
    • Spain
    • Rest of Europe
  • Asia Pacific
    • Japan
    • China
    • India
    • Australia
    • New Zealand
    • South Korea
    • Rest of Asia Pacific
  • South America
    • Argentina
    • Brazil
    • Chile
    • Rest of South America
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Qatar
    • South Africa
    • Rest of Middle East & 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 2024, 2025, 2026, 2028, and 2032
  • 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

2 Preface

  • 2.1 Abstract
  • 2.2 Stake Holders
  • 2.3 Research Scope
  • 2.4 Research Methodology
    • 2.4.1 Data Mining
    • 2.4.2 Data Analysis
    • 2.4.3 Data Validation
    • 2.4.4 Research Approach
  • 2.5 Research Sources
    • 2.5.1 Primary Research Sources
    • 2.5.2 Secondary Research Sources
    • 2.5.3 Assumptions

3 Market Trend Analysis

  • 3.1 Introduction
  • 3.2 Drivers
  • 3.3 Restraints
  • 3.4 Opportunities
  • 3.5 Threats
  • 3.6 Technology Analysis
  • 3.7 Application Analysis
  • 3.8 End User Analysis
  • 3.9 Emerging Markets
  • 3.10 Impact of Covid-19

4 Porters Five Force Analysis

  • 4.1 Bargaining power of suppliers
  • 4.2 Bargaining power of buyers
  • 4.3 Threat of substitutes
  • 4.4 Threat of new entrants
  • 4.5 Competitive rivalry

5 Global Analytics as a Service Market, By Data Type

  • 5.1 Introduction
  • 5.2 Structured Data
  • 5.3 Unstructured Data
  • 5.4 Semi-Structured Data

6 Global Analytics as a Service Market, By Service Type

  • 6.1 Introduction
  • 6.2 Data Management Services
  • 6.3 Data Integration Services
  • 6.4 Consulting Services
  • 6.5 Support and Maintenance Services

7 Global Analytics as a Service Market, By Technology

  • 7.1 Introduction
  • 7.2 Artificial Intelligence and Machine Learning
  • 7.3 Big Data Analytics
  • 7.4 Predictive Analytics
  • 7.5 Prescriptive Analytics
  • 7.6 Descriptive Analytics

8 Global Analytics as a Service Market, By Application

  • 8.1 Introduction
  • 8.2 Customer Analytics
  • 8.3 Operational Analytics
  • 8.4 Marketing Analytics
  • 8.5 Risk and Compliance Analytics
  • 8.6 Financial Analytics
  • 8.7 Other Applications

9 Global Analytics as a Service Market, By End User

  • 9.1 Introduction
  • 9.2 Healthcare
  • 9.3 Retail
  • 9.4 Manufacturing
  • 9.5 Telecommunications
  • 9.6 Energy and Utilities
  • 9.7 Banking, Financial Services, and Insurance (BFSI)
  • 9.8 Other End Users

10 Global Analytics as a Service Market, By Geography

  • 10.1 Introduction
  • 10.2 North America
    • 10.2.1 US
    • 10.2.2 Canada
    • 10.2.3 Mexico
  • 10.3 Europe
    • 10.3.1 Germany
    • 10.3.2 UK
    • 10.3.3 Italy
    • 10.3.4 France
    • 10.3.5 Spain
    • 10.3.6 Rest of Europe
  • 10.4 Asia Pacific
    • 10.4.1 Japan
    • 10.4.2 China
    • 10.4.3 India
    • 10.4.4 Australia
    • 10.4.5 New Zealand
    • 10.4.6 South Korea
    • 10.4.7 Rest of Asia Pacific
  • 10.5 South America
    • 10.5.1 Argentina
    • 10.5.2 Brazil
    • 10.5.3 Chile
    • 10.5.4 Rest of South America
  • 10.6 Middle East & Africa
    • 10.6.1 Saudi Arabia
    • 10.6.2 UAE
    • 10.6.3 Qatar
    • 10.6.4 South Africa
    • 10.6.5 Rest of Middle East & Africa

11 Key Developments

  • 11.1 Agreements, Partnerships, Collaborations and Joint Ventures
  • 11.2 Acquisitions & Mergers
  • 11.3 New Product Launch
  • 11.4 Expansions
  • 11.5 Other Key Strategies

12 Company Profiling

  • 12.1 IBM
  • 12.2 Cloudera
  • 12.3 Microsoft
  • 12.4 Salesforce
  • 12.5 Oracle
  • 12.6 TIBCO Software
  • 12.7 SAP
  • 12.8 ScienceSoft
  • 12.9 Hewlett-Packard Enterprise
  • 12.10 MicroStrategy
  • 12.11 SAS Institute
  • 12.12 Altair
  • 12.13 Accenture
  • 12.14 Qlik
  • 12.15 Google Cloud
  • 12.16 Teradata
  • 12.17 Amazon Web Services (AWS)

List of Tables

  • Table 1 Global Analytics as a Service Market Outlook, By Region (2024-2032) ($MN)
  • Table 2 Global Analytics as a Service Market Outlook, By Data Type (2024-2032) ($MN)
  • Table 3 Global Analytics as a Service Market Outlook, By Structured Data (2024-2032) ($MN)
  • Table 4 Global Analytics as a Service Market Outlook, By Unstructured Data (2024-2032) ($MN)
  • Table 5 Global Analytics as a Service Market Outlook, By Semi-Structured Data (2024-2032) ($MN)
  • Table 6 Global Analytics as a Service Market Outlook, By Service Type (2024-2032) ($MN)
  • Table 7 Global Analytics as a Service Market Outlook, By Data Management Services (2024-2032) ($MN)
  • Table 8 Global Analytics as a Service Market Outlook, By Data Integration Services (2024-2032) ($MN)
  • Table 9 Global Analytics as a Service Market Outlook, By Consulting Services (2024-2032) ($MN)
  • Table 10 Global Analytics as a Service Market Outlook, By Support and Maintenance Services (2024-2032) ($MN)
  • Table 11 Global Analytics as a Service Market Outlook, By Technology (2024-2032) ($MN)
  • Table 12 Global Analytics as a Service Market Outlook, By Artificial Intelligence and Machine Learning (2024-2032) ($MN)
  • Table 13 Global Analytics as a Service Market Outlook, By Big Data Analytics (2024-2032) ($MN)
  • Table 14 Global Analytics as a Service Market Outlook, By Predictive Analytics (2024-2032) ($MN)
  • Table 15 Global Analytics as a Service Market Outlook, By Prescriptive Analytics (2024-2032) ($MN)
  • Table 16 Global Analytics as a Service Market Outlook, By Descriptive Analytics (2024-2032) ($MN)
  • Table 17 Global Analytics as a Service Market Outlook, By Application (2024-2032) ($MN)
  • Table 18 Global Analytics as a Service Market Outlook, By Customer Analytics (2024-2032) ($MN)
  • Table 19 Global Analytics as a Service Market Outlook, By Operational Analytics (2024-2032) ($MN)
  • Table 20 Global Analytics as a Service Market Outlook, By Marketing Analytics (2024-2032) ($MN)
  • Table 21 Global Analytics as a Service Market Outlook, By Risk and Compliance Analytics (2024-2032) ($MN)
  • Table 22 Global Analytics as a Service Market Outlook, By Financial Analytics (2024-2032) ($MN)
  • Table 23 Global Analytics as a Service Market Outlook, By Other Applications (2024-2032) ($MN)
  • Table 24 Global Analytics as a Service Market Outlook, By End User (2024-2032) ($MN)
  • Table 25 Global Analytics as a Service Market Outlook, By Healthcare (2024-2032) ($MN)
  • Table 26 Global Analytics as a Service Market Outlook, By Retail (2024-2032) ($MN)
  • Table 27 Global Analytics as a Service Market Outlook, By Manufacturing (2024-2032) ($MN)
  • Table 28 Global Analytics as a Service Market Outlook, By Telecommunications (2024-2032) ($MN)
  • Table 29 Global Analytics as a Service Market Outlook, By Energy and Utilities (2024-2032) ($MN)
  • Table 30 Global Analytics as a Service Market Outlook, By Banking, Financial Services, and Insurance (BFSI) (2024-2032) ($MN)
  • Table 31 Global Analytics as a Service Market Outlook, By Other End Users (2024-2032) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Middle East & Africa Regions are also represented in the same manner as above.