查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1725176

2032 年分析即服务市场预测：按资料类型、服务类型、技术、应用、最终用户和地区进行的全球分析

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个工作天内

价格

根据 Stratistics MRC 的数据，全球分析即服务市场预计在 2025 年达到 143 亿美元，到 2032 年将达到 745 亿美元，预测期内的复合年增长率为 26.6%。

AaaS（分析即服务）是一种云端基础的解决方案，可透过网际网路提供资料分析工具和功能。它使企业无需投资昂贵的硬体、软体或专业人员即可分析大量数据。 AaaS 提供资料探勘、预测分析和资料视觉化等服务，帮助企业了解趋势、做出明智的决策并优化绩效。它具有扩充性、灵活性和成本效益，使各种规模的企业都可以进行高级分析。

根据 Sprout Social Index 的数据，71% 的消费者在 Facebook 上花费大量时间。透过 Facebook Analytics 数据，品牌可以追踪消费者旅程并找到更有效接触受众的方法。

云端运算的采用率不断提高

云端运算的日益普及极大地推动了市场的成长。企业正在利用云端平台，因为它们具有可扩展性、成本效益，并且无需大量基础设施投资即可提供即时洞察。云端基础的分析解决方案为企业提供按需存取进阶工具和资料处理功能，以推动更好的决策。这种转变对中小型企业尤其有吸引力，它们受益于云端基础的AaaS 解决方案提供的灵活性和降低的营运复杂性。

对资料处理和合规性的怀疑

对于资料处理和合规性的怀疑对市场成长构成了重大挑战。对资料隐私、安全漏洞和法规遵循的担忧，尤其是 GDPR 和 CCPA 等严格法律的担忧，使得企业不愿意完全采用云端基础的分析解决方案。对失去对敏感资料的控制的担忧以及对潜在法律后果的担忧阻碍了技术的采用，尤其是在受到严格监管的行业中。缺乏信任可能会减缓市场扩张并阻碍 AaaS 优势的实现。

物联网设备的普及与数位转型

物联网设备的普及和数位转型的推动正在刺激市场扩张。物联网会产生大量即时数据，需要进阶分析才能得出可行的见解。 AaaS 平台提供可扩展的云端基础的解决方案，可以有效地处理这些资料涌入。随着企业进行数位转型，他们更加依赖 AaaS 来提高业务效率、客户体验和策略决策，使分析成为其数位生态系统的重要组成部分。

对基础设施的控制有限

对基础设施的控制有限是造成市场负面影响的一个主要问题。 AaaS 解决方案通常託管在第三方云端平台上，这意味着公司通常无法直接控制底层硬体和软体环境。这可能会导致客製化、效能优化和与现有系统整合的问题。这些限制可能会对具有复杂 IT 需求和严格合规性要求的企业造成拖累，最终阻碍他们将关键分析业务完全转移到 AaaS 解决方案。

COVID-19的影响

COVID-19 疫情对市场产生了多种影响。一方面，随着企业寻求敏捷、数据驱动的解决方案以适应快速变化的条件，数位转型加速。即时分析的需求激增，推动了医疗保健、零售和物流等领域采用 AaaS。同时，一些公司由于预算限制和经济不确定性而推迟了分析投资。儘管最初遭遇挫折，但长期影响是积极的，AaaS 在疫情后的復苏策略中发挥关键作用。

资料管理服务部门预计将成为预测期内最大的部门

预计预测期内资料管理服务部门将占据最大的市场占有率。这些服务包括资料整合、管治、品质保证和分析，全部透过云端基础的模型提供。透过将不同的资料来源整合到一个集中式平台上，企业可以确保即时存取、增强资料安全性并保持符合监管标准。这种方法不仅降低了营运成本，而且还加速了数据主导的决策，使其成为任何现代分析策略的基石。

预计客户分析部门在预测期内将实现最高复合年增长率

云端基础的工具使企业能够获得即时洞察，有助于个人化行销策略、提高客户维繫并增强决策能力。 AaaS 平台简化了复杂的分析，使各种规模的企业都可以使用。这种数据主导的方法使公司能够根据特定客户的需求量身定制产品、服务和通信，从而推动成长和竞争优势。

占比最大的地区：

在预测期内，亚太地区预计将占据最大的市场占有率，这得益于零售、医疗保健和金融等行业对数据主导洞察的需求不断增长。该地区不断扩大的数位转型计划，加上云端运算技术的不断普及，正在推动这一成长。企业正在将 AaaS 作为一种可扩展、经济高效的解决方案来分析大量数据、增强决策能力并提高业务效率，使其成为该地区商业创新和竞争力的关键推动因素。

复合年增长率最高的地区：

预计北美地区在预测期内将呈现最高的复合年增长率。云端基础的解决方案、进阶分析和机器学习功能使企业能够在降低营运成本的同时获得有价值的见解。该市场受益于高技术采用率、主要企业的存在和良好的商业环境。随着企业继续优先考虑数据分析，北美 AaaS 市场将在未来几年大幅扩张。

提供免费客製化：

订阅此报告的客户可享有以下免费自订选项之一：

  • 公司简介
    • 对其他市场公司（最多 3 家公司）进行全面分析
    • 主要企业的SWOT分析（最多3家公司）
  • 地理细分
    • 根据客户兴趣对主要国家市场进行估计、预测和复合年增长率（註：基于可行性检查）
  • 竞争基准化分析
    • 根据产品系列、地理分布和策略联盟对主要企业基准化分析

目录

第一章执行摘要

第二章 前言

  • 概述
  • 相关利益者
  • 研究范围
  • 调查方法
    • 资料探勘
    • 数据分析
    • 数据检验
    • 研究途径
  • 研究材料
    • 主要研究资料
    • 次级研究资讯来源
    • 先决条件

第三章市场走势分析

  • 驱动程式
  • 限制因素
  • 机会
  • 威胁
  • 技术分析
  • 应用分析
  • 最终用户分析
  • 新兴市场
  • COVID-19的影响

第四章 波特五力分析

  • 供应商的议价能力
  • 买家的议价能力
  • 替代品的威胁
  • 新进入者的威胁
  • 竞争对手之间的竞争

5. 全球分析即服务市场（依资料类型）

  • 结构化资料
  • 非结构化数据
  • 半结构化数据

6. 全球分析即服务市场（依服务类型）

  • 资料管理服务
  • 数据整合服务
  • 咨询服务
  • 支援和维护服务

7. 全球分析即服务市场（按技术）

  • 人工智慧和机器学习
  • 巨量资料分析
  • 预测分析
  • 指示性分析
  • 说明分析

8. 全球分析即服务市场（按应用）

  • 客户分析
  • 营运分析
  • 行销分析
  • 风险与合规性分析
  • 财务分析
  • 其他应用

9. 全球分析即服务市场（以最终用户划分）

  • 卫生保健
  • 零售
  • 製造业
  • 通讯
  • 能源和公共产业
  • 银行、金融服务和保险（BFSI）
  • 其他最终用户

第十章 全球分析即服务市场（按地区）

  • 北美洲
    • 美国
    • 加拿大
    • 墨西哥
  • 欧洲
    • 德国
    • 英国
    • 义大利
    • 法国
    • 西班牙
    • 其他欧洲国家
  • 亚太地区
    • 日本
    • 中国
    • 印度
    • 澳洲
    • 纽西兰
    • 韩国
    • 其他亚太地区
  • 南美洲
    • 阿根廷
    • 巴西
    • 智利
    • 南美洲其他地区
  • 中东和非洲
    • 沙乌地阿拉伯
    • 阿拉伯聯合大公国
    • 卡达
    • 南非
    • 其他中东和非洲地区

第十一章 重大进展

  • 协议、伙伴关係、合作和合资企业
  • 收购与合併
  • 新产品发布
  • 业务扩展
  • 其他关键策略

第十二章 公司概况

  • 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.