세계의 AaaS(Analytics as a Service) 시장 보고서 : 유형별, 컴포넌트별, 전개 유형별, 기업 규모별, 업계별, 지역별(2025-2033년)

The global analytics as a service (AaaS) market size reached USD 28.2 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 143.8 Billion by 2033, exhibiting a growth rate (CAGR) of 19.9% during 2025-2033. The market is propelled by emerging organizational need to update their services by better understanding system operations, the widespread adoption of social media applications, rapid automation across several industry verticals, and the increasing utilization of predictive and historic data analysis by manufacturing facilities.

Analytics as a Service (AaaS) refers to a business solution that provides customized, subscription-based data analytics software and procedures through the cloud. It primarily integrates the differently sourced data and information into a centralized-managed platform, thereby reducing manual labor and enhancing operational efficiency. Depending on the type, AaaS is classified into predictive, prescriptive, diagnostic, and descriptive analytics types. As compared to other data analytic tools, AaaS offers its clients with an access to remote analytical tools for analyzing data either via self-service or third-party managed machine learning (ML) tools. In addition to this, this platform aids in analyzing consumer behavior and trends, collecting data, providing personalized access to centrally managed data groups, and offers advanced and interactive services. Consequently, it is widely adopted in the telecommunications and IT, retail, government, healthcare, and banking, financial services, and insurance (BFSI) industries.

Analytics as a Service (AaaS) Market Trends:

One of the key factors driving the global AaaS market growth is the emerging organizational need to update their services by better understanding system operations and customer behavior. In line with this, small- and medium-sized enterprises (SMEs) are widely adopting the technology to make data-driven decisions at lower costs, which is supporting the market growth. The demand for Aaas is also facilitated by the widespread adoption of social media applications, which has resulted in an increase in the volume of structured and unstructured data across platforms. Moreover, rapid automation across several industry verticals, along with the increasing utilization of predictive and historic data analysis by manufacturing facilities to avoid unexpected downtime, are acting as other growth-inducing factors. Apart from this, the increasing incorporation of the Internet of Things (IoT) and the proliferation of smartphones has enabled brands to simultaneously gather and store machine-generated data. This, in turn, is helping organizations in enhancing the performance of their internal assets, reducing operational costs, providing proactive customer support, and increasing the profit margin, thereby creating a positive outlook for the market.

Key Market Segmentation:

Breakup by Type:

• Predictive
• Prescriptive
• Diagnostic
• Descriptive

Breakup by Component:

• Solutions
• Services

Breakup by Deployment Type:

• Private Cloud
• Public Cloud
• Hybrid Cloud

Breakup by Enterprise Size:

• Small and Medium-sized Enterprises
• Large Enterprises

Breakup by Industry Vertical:

• BFSI
• Retail
• Government and Public Sector
• IT and Telecommunication
• Healthcare
• Manufacturing
• Others

Breakup by Region:

• North America
• United States
• Canada
• Asia-Pacific
• China
• Japan
• India
• South Korea
• Australia
• Indonesia
• Others
• Europe
• Germany
• France
• United Kingdom
• Italy
• Spain
• Russia
• Others
• Latin America
• Brazil
• Mexico
• Others
• Middle East and Africa

Competitive Landscape:

The competitive landscape of the industry has also been examined along with the profiles of the key players being Atos, Cloudera Inc., Google LLC (Alphabet Inc.), Hewlett Packard Enterprise Company, Infosys Limited, International Business Machines Corporation, Microsoft Corporation, Oracle Corporation, ScienceSoft USA Corporation, Sisense, Teradata Corporation and Tibco Software Inc.

Key Questions Answered in This Report

• 1.What was the size of the global analytics as a service (AaaS) market in 2024?
• 2.What is the expected growth rate of the global analytics as a service (AaaS) market during 2025-2033?
• 3.What are the key factors driving the global analytics as a service (AaaS) market?
• 4.What has been the impact of COVID-19 on the global analytics as a service (AaaS) market?
• 5.What is the breakup of the global analytics as a service (AaaS) market based on the type?
• 6.What is the breakup of the global analytics as a service (AaaS) market based on component?
• 7.What is the breakup of the global analytics as a service (AaaS) market based on the deployment type?
• 8.What is the breakup of the global analytics as a service (AaaS) market based on the industry vertical?
• 9.What are the key regions in the global analytics as a service (AaaS) market?
• 10.Who are the key players/companies in the global analytics as a service (AaaS) market?

Table of Contents

1 Preface

2 Scope and Methodology

• 2.1 Objectives of the Study
• 2.2 Stakeholders
• 2.3 Data Sources
  • 2.3.1 Primary Sources
  • 2.3.2 Secondary Sources
• 2.4 Market Estimation
  • 2.4.1 Bottom-Up Approach
  • 2.4.2 Top-Down Approach
• 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

• 4.1 Overview
• 4.2 Key Industry Trends

5 Global Analytics as a Service (AaaS) Market

• 5.1 Market Overview
• 5.2 Market Performance
• 5.3 Impact of COVID-19
• 5.4 Market Forecast

6 Market Breakup by Type

• 6.1 Predictive
  • 6.1.1 Market Trends
  • 6.1.2 Market Forecast
• 6.2 Prescriptive
  • 6.2.1 Market Trends
  • 6.2.2 Market Forecast
• 6.3 Diagnostic
  • 6.3.1 Market Trends
  • 6.3.2 Market Forecast
• 6.4 Descriptive
  • 6.4.1 Market Trends
  • 6.4.2 Market Forecast

7 Market Breakup by Component

• 7.1 Solutions
  • 7.1.1 Market Trends
  • 7.1.2 Market Forecast
• 7.2 Services
  • 7.2.1 Market Trends
  • 7.2.2 Market Forecast

8 Market Breakup by Deployment Type

• 8.1 Private Cloud
  • 8.1.1 Market Trends
  • 8.1.2 Market Forecast
• 8.2 Public Cloud
  • 8.2.1 Market Trends
  • 8.2.2 Market Forecast
• 8.3 Hybrid Cloud
  • 8.3.1 Market Trends
  • 8.3.2 Market Forecast

9 Market Breakup by Enterprise Size

• 9.1 Small and Medium-sized Enterprises
  • 9.1.1 Market Trends
  • 9.1.2 Market Forecast
• 9.2 Large Enterprises
  • 9.2.1 Market Trends
  • 9.2.2 Market Forecast

10 Market Breakup by Industry Vertical

• 10.1 BFSI
  • 10.1.1 Market Trends
  • 10.1.2 Market Forecast
• 10.2 Retail
  • 10.2.1 Market Trends
  • 10.2.2 Market Forecast
• 10.3 Government and Public Sector
  • 10.3.1 Market Trends
  • 10.3.2 Market Forecast
• 10.4 IT and Telecommunication
  • 10.4.1 Market Trends
  • 10.4.2 Market Forecast
• 10.5 Healthcare
  • 10.5.1 Market Trends
  • 10.5.2 Market Forecast
• 10.6 Manufacturing
  • 10.6.1 Market Trends
  • 10.6.2 Market Forecast
• 10.7 Others
  • 10.7.1 Market Trends
  • 10.7.2 Market Forecast

11 Market Breakup by Region

• 11.1 North America
  • 11.1.1 United States
    • 11.1.1.1 Market Trends
    • 11.1.1.2 Market Forecast
  • 11.1.2 Canada
    • 11.1.2.1 Market Trends
    • 11.1.2.2 Market Forecast
• 11.2 Asia-Pacific
  • 11.2.1 China
    • 11.2.1.1 Market Trends
    • 11.2.1.2 Market Forecast
  • 11.2.2 Japan
    • 11.2.2.1 Market Trends
    • 11.2.2.2 Market Forecast
  • 11.2.3 India
    • 11.2.3.1 Market Trends
    • 11.2.3.2 Market Forecast
  • 11.2.4 South Korea
    • 11.2.4.1 Market Trends
    • 11.2.4.2 Market Forecast
  • 11.2.5 Australia
    • 11.2.5.1 Market Trends
    • 11.2.5.2 Market Forecast
  • 11.2.6 Indonesia
    • 11.2.6.1 Market Trends
    • 11.2.6.2 Market Forecast
  • 11.2.7 Others
    • 11.2.7.1 Market Trends
    • 11.2.7.2 Market Forecast
• 11.3 Europe
  • 11.3.1 Germany
    • 11.3.1.1 Market Trends
    • 11.3.1.2 Market Forecast
  • 11.3.2 France
    • 11.3.2.1 Market Trends
    • 11.3.2.2 Market Forecast
  • 11.3.3 United Kingdom
    • 11.3.3.1 Market Trends
    • 11.3.3.2 Market Forecast
  • 11.3.4 Italy
    • 11.3.4.1 Market Trends
    • 11.3.4.2 Market Forecast
  • 11.3.5 Spain
    • 11.3.5.1 Market Trends
    • 11.3.5.2 Market Forecast
  • 11.3.6 Russia
    • 11.3.6.1 Market Trends
    • 11.3.6.2 Market Forecast
  • 11.3.7 Others
    • 11.3.7.1 Market Trends
    • 11.3.7.2 Market Forecast
• 11.4 Latin America
  • 11.4.1 Brazil
    • 11.4.1.1 Market Trends
    • 11.4.1.2 Market Forecast
  • 11.4.2 Mexico
    • 11.4.2.1 Market Trends
    • 11.4.2.2 Market Forecast
  • 11.4.3 Others
    • 11.4.3.1 Market Trends
    • 11.4.3.2 Market Forecast
• 11.5 Middle East and Africa
  • 11.5.1 Market Trends
  • 11.5.2 Market Breakup by Country
  • 11.5.3 Market Forecast

12 SWOT Analysis

• 12.1 Overview
• 12.2 Strengths
• 12.3 Weaknesses
• 12.4 Opportunities
• 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

• 14.1 Overview
• 14.2 Bargaining Power of Buyers
• 14.3 Bargaining Power of Suppliers
• 14.4 Degree of Competition
• 14.5 Threat of New Entrants
• 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

• 16.1 Market Structure
• 16.2 Key Players
• 16.3 Profiles of Key Players
  • 16.3.1 Atos
    • 16.3.1.1 Company Overview
    • 16.3.1.2 Product Portfolio
    • 16.3.1.3 Financials
    • 16.3.1.4 SWOT Analysis
  • 16.3.2 Cloudera Inc.
    • 16.3.2.1 Company Overview
    • 16.3.2.2 Product Portfolio
  • 16.3.3 Google LLC (Alphabet Inc.)
    • 16.3.3.1 Company Overview
    • 16.3.3.2 Product Portfolio
    • 16.3.3.3 SWOT Analysis
  • 16.3.4 Hewlett Packard Enterprise Company
    • 16.3.4.1 Company Overview
    • 16.3.4.2 Product Portfolio
    • 16.3.4.3 Financials
    • 16.3.4.4 SWOT Analysis
  • 16.3.5 Infosys Limited
    • 16.3.5.1 Company Overview
    • 16.3.5.2 Product Portfolio
    • 16.3.5.3 Financials
    • 16.3.5.4 SWOT Analysis
  • 16.3.6 International Business Machines Corporation
    • 16.3.6.1 Company Overview
    • 16.3.6.2 Product Portfolio
    • 16.3.6.3 Financials
    • 16.3.6.4 SWOT Analysis
  • 16.3.7 Microsoft Corporation
    • 16.3.7.1 Company Overview
    • 16.3.7.2 Product Portfolio
    • 16.3.7.3 Financials
    • 16.3.7.4 SWOT Analysis
  • 16.3.8 Oracle Corporation
    • 16.3.8.1 Company Overview
    • 16.3.8.2 Product Portfolio
    • 16.3.8.3 Financials
    • 16.3.8.4 SWOT Analysis
  • 16.3.9 ScienceSoft USA Corporation
    • 16.3.9.1 Company Overview
    • 16.3.9.2 Product Portfolio
  • 16.3.10 Sisense
    • 16.3.10.1 Company Overview
    • 16.3.10.2 Product Portfolio
  • 16.3.11 Teradata Corporation
    • 16.3.11.1 Company Overview
    • 16.3.11.2 Product Portfolio
    • 16.3.11.3 Financials
    • 16.3.11.4 SWOT Analysis
  • 16.3.12 Tibco Software Inc.
    • 16.3.12.1 Company Overview
    • 16.3.12.2 Product Portfolio
    • 16.3.12.3 SWOT Analysis