The Global Analytics as a Service Market Size accounted for USD 8.8 Billion in 2022 and is projected to achieve a market size of USD 73.5 Billion by 2032 growing at a CAGR of 24.1% from 2023 to 2032. The Analytics as a Service (AaaS) market is experiencing significant growth, driven by the increasing demand for cloud-based analytics solutions and the need for real-time data insights to inform business decisions. The rise of big data and the Internet of Things (IoT) is also contributing to the AaaS market growth, as organizations require more advanced analytics tools to manage and analyze the vast amounts of data generated by these technologies. Furthermore, the trend toward digital transformation and the growing need for data-driven decision-making is also boosting the expansion of the AaaS market value.
Analytics as a Service Market Report Key Highlights
- Global analytics as a service market revenue is expected to increase by USD 73.5 Billion by 2032, with a 24.1% CAGR from 2023 to 2032
- North America region led with more than 38% of analytics as a service market share in 2022
- The demand for predictive analytics services is increasing, with a CAGR of 19% expected over the next five years
- By enterprise size, the large enterprise captured the majority of the market
- The use of big data analytics is increasing, with a CAGR of 20% expected over the next five years
- Major players in the analytics as a service market include IBM, Microsoft, Oracle, Amazon Web Services, and Google Cloud
- Increasing use of artificial intelligence and machine learning, drives the analytics as a service market size
Analytics as a service, also abbreviated as AaaS, refers to the provision of software-based operations and analytics via web-delivered technologies. Such type of solutions offers enterprises and businesses an alternative to developing a setup for internal hardware to perform business analytics. Analytics as a service is becoming an increasingly popular and valuable option for businesses since setting up an overall analytics process might be a tedious and work-intensive process. Businesses that require performing more analytics might need relatively more servers and other types of hardware. They might also require more staff for information and technology in order to maintain and implement such programs. If a business can deploy analytics as a service instead, it might be able to bypass such new added costs.
Global Analytics as a Service Market Trends
Market Drivers
- Increasing popularity of cloud technology
- Rise of big data and the Internet of Things (IoT)
- A trend toward digital transformation and the growing need for data-driven decision making
- Cost savings compared to traditional, on-premise analytics solutions
Market Restraints
- Data security and privacy concerns
- Lack of skilled professionals
Market Opportunities
- Continuous advancements in technology, such as artificial intelligence and machine learning
- Increasing demand for customized AaaS solutions
Analytics as a Service Market Report Coverage
Market |
Analytics as a Service Market |
Analytics as a Service Market Size 2022 |
USD 8.8 Billion |
Analytics as a Service Market Forecast 2032 |
USD 73.5 Billion |
Analytics as a Service Market CAGR During 2023 - 2032 |
24.1% |
Analytics as a Service Market Analysis Period |
2020 - 2032 |
Analytics as a Service Market Base Year |
2022 |
Analytics as a Service Market Forecast Data |
2023 - 2032 |
Segments Covered |
By Type, By End-Use, By Enterprise Size, And By Geography
|
Regional Scope |
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa |
Key Companies Profiled |
Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, SAP, Oracle, Alteryx, TIBCO Software, SAS Institute, and Tableau
|
Report Coverage
|
Market Trends, Drivers, Restraints, Competitive Analysis, Player Profiling, Covid-19 Analysis, Regulation Analysis |
Analytics as a Service Market Dynamics
Some of the major growth drivers in the global analytics as a service market growth include business intelligence maturation, increased ability of technologies to process huge workloads using the cloud as well as lower initial and maintenance costs of ownership. Some factors such as rapid and continuous growth of unstructured and structured data from diverse social media platforms are some key reasons anticipated to impel the prospects for growth in the global analytics as a service market value over the forecast period.
Also, one of the major drivers in the global analytics as a service market is the rising adoption of data analytics across diverse business segments. Most benefits linked with data analytics come up from its ability to recognize major patterns and to make related predictions based on past experiences. Based on the aforementioned criteria, various organizations are opting for data analytics in order to understand the patterns for customer acquisition, and consumption as well as other factors to increase overall revenues, save costs, and maintain customer loyalty.
Analytics as a Service Market Segmentation
The global analytics as a service market segmentation is based on type, end-use, enterprise size, and geography.
Analytics as a Service Market By Type
- Predictive
- Diagnostic
- Prescriptive
- Descriptive
According to analytics as a service industry analysis, the predictive segment held the largest market share in 2022. Predictive analytics uses advanced techniques, such as machine learning and statistical algorithms, to analyze historical data and make predictions about future outcomes. The predictive analytics as a service (PAaaS) market is growing rapidly as more and more companies seek to leverage the power of predictive analytics to gain a competitive edge. By using PAaaS solutions, companies can quickly and easily access predictive analytics capabilities without the need for large upfront investments in hardware and software. PAaaS solutions are being used in a variety of industries, including healthcare, finance, retail, and telecommunications, to drive business outcomes such as improved customer experience, increased operational efficiency, and reduced costs.
Analytics as a Service Market By End-Use
- IT & Telecom
- Government
- BFSI
- Manufacturing
- Retail
- Healthcare
- Others
In terms of end-user, the Banking, Financial Services, and Insurance (BFSI) sector is one of the key industries that is leveraging Analytics as a Service (AaaS) solutions. The BFSI sector generates large amounts of data, and AaaS solutions enable these organizations to effectively manage, analyze, and make data-driven decisions. AaaS solutions in the BFSI sector are being used for a variety of applications, including risk management, customer behavior analysis, fraud detection, and financial forecasting. By using AaaS solutions, BFSI organizations can quickly and easily access advanced analytics capabilities, allowing them to make better-informed decisions and improve their overall operations.
Analytics as a Service Market By Enterprise Size
- Large Enterprise
- Small & Medium Enterprise (SME)
According to the analytics as a service market forecast, the small and medium-sized enterprise sector is predicted to develop significantly in the market over the predicted period. AaaS solutions offer SMEs access to advanced analytics capabilities without the need for large upfront investments in hardware and software, making them a cost-effective solution for organizations with limited resources. AaaS solutions in SMEs are being used for a variety of applications, including sales and marketing analysis, customer behavior analysis, and financial forecasting. By using AaaS solutions, SMEs can quickly and easily gain insights into their data, allowing them to make better-informed decisions and improve their overall operations. The SME market for AaaS is expected to continue to grow as more SMEs embrace cloud-based solutions and the demand for advanced analytics capabilities continues to rise.
Analytics as a Service Market Regional Outlook
North America
Europe
- U.K.
- Germany
- France
- Spain
- Rest of Europe
Asia-Pacific
- India
- Japan
- China
- Australia
- South Korea
- Rest of Asia-Pacific
Latin America
- Brazil
- Mexico
- Rest of Latin America
The Middle East & Africa
- South Africa
- GCC Countries
- Rest of the Middle East & Africa (ME&A)
Geographically, North America is one of the largest markets for Analytics as a Service (AaaS), driven by the presence of a large number of technology companies and the widespread adoption of cloud computing solutions in the region. The US is the largest market for AaaS in North America, followed by Canada. North American companies across various industries, including healthcare, finance, retail, and telecommunications, are leveraging AaaS solutions to gain a competitive edge and improve their overall operations. AaaS solutions are being used for a variety of applications, including customer behavior analysis, sales and marketing analysis, and financial forecasting.
The North American AaaS market is expected to continue to grow as more companies adopt cloud-based solutions and the demand for advanced analytics capabilities continues to rise. The growth of the AaaS market in North America is also being driven by the increasing amount of data generated by organizations, the increasing need for data-driven decision-making, and the rising need for cost-effective analytics solutions.
Analytics as a Service Market Player
Some of the top analytics as a service market companies offered in the professional report include Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), IBM Cloud, SAP, Oracle, Alteryx, TIBCO Software, SAS Institute, and Tableau.
CHAPTER 1. Industry Overview of Analytics as a Service Market
1.1. Definition and Scope
1.1.1. Definition of Analytics as a Service
1.1.2. Market Segmentation
1.1.3. Years Considered for the Study
1.1.4. Assumptions and Acronyms Used
1.1.4.1. Market Assumptions and Market Forecast
1.1.4.2. Acronyms Used in Global Analytics as a Service Market
1.2. Summary
1.2.1. Executive Summary
1.2.2. Analytics as a Service Market By Type
1.2.3. Analytics as a Service Market By End-Use
1.2.4. Analytics as a Service Market By Enterprise Size
1.2.5. Analytics as a Service Market By Region
CHAPTER 2. Research Approach
2.1. Methodology
2.1.1. Research Programs
2.1.2. Market Size Estimation
2.1.3. Market Breakdown and Data Triangulation
2.2. Data Enterprise Size
2.2.1. Secondary Source
2.2.2. Primary Source
CHAPTER 3. Market Dynamics And Competition Analysis
3.1. Market Drivers
3.1.1. Driver 1
3.1.2. Driver 2
3.2. Restraints and Challenges
3.2.1. Restraint 1
3.2.2. Restraint 2
3.3. Growth Opportunities
3.3.1. Opportunity 1
3.3.2. Opportunity 2
3.4. Porter’s Five Forces Analysis
3.4.1. Bargaining Power of Suppliers
3.4.2. Bargaining Power of Buyers
3.4.3. Threat of Substitute
3.4.4. Threat of New Entrants
3.4.5. Degree of Competition
3.5. Market Concentration Ratio and Market Maturity Analysis of Analytics as a Service Market
3.5.1. Go To Market Strategy
3.5.1.1. Introduction
3.5.1.2. Growth
3.5.1.3. Maturity
3.5.1.4. Saturation
3.5.1.5. Possible Development
3.6. Technological Roadmap for Analytics as a Service Market
3.7. Value Chain Analysis
3.7.1. List of Key Manufacturers
3.7.2. List of Customers
3.7.3. Level of Integration
3.8. Price Trend of Key Raw Materials
3.8.1. Raw Material Suppliers
3.8.2. Proportion of Manufacturing Cost Structure
3.8.2.1. Raw Material
3.8.2.2. Labor Cost
3.8.2.3. Manufacturing Expense
3.9. Regulatory Compliance
3.10. Competitive Landscape, 2022
3.10.1. Player Positioning Analysis
3.10.2. Key Strategies Adopted By Leading Players
CHAPTER 4. Manufacturing Plant Analysis
4.1. Manufacturing Plant Location and Establish Date of Major Manufacturers in 2022
4.2. R&D Status of Major Manufacturers in 2022
CHAPTER 5. Analytics as a Service Market By Type
5.1. Introduction
5.2. Analytics as a Service Revenue By Type
5.2.1. Analytics as a Service Revenue (USD Billion) and Forecast, By Type, 2020-2032
5.2.2. Predictive
5.2.2.1. Predictive Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
5.2.3. Diagnostic
5.2.3.1. Diagnostic Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
5.2.4. Prescriptive
5.2.4.1. Prescriptive Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
5.2.5. Descriptive
5.2.5.1. Descriptive Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 6. Analytics as a Service Market By End-Use
6.1. Introduction
6.2. Analytics as a Service Revenue By End-Use
6.2.1. Analytics as a Service Revenue (USD Billion) and Forecast, By End-Use, 2020-2032
6.2.2. IT & Telecom
6.2.2.1. IT & Telecom Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.3. Government
6.2.3.1. Government Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.4. BFSI
6.2.4.1. BFSI Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.5. Manufacturing
6.2.5.1. Manufacturing Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.6. Retail
6.2.6.1. Retail Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.7. Healthcare
6.2.7.1. Healthcare Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
6.2.8. Others
6.2.8.1. Others Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 7. Analytics as a Service Market By Enterprise Size
7.1. Introduction
7.2. Analytics as a Service Revenue By Enterprise Size
7.2.1. Analytics as a Service Revenue (USD Billion) and Forecast, By Enterprise Size, 2020-2032
7.2.2. Large Enterprise
7.2.2.1. Large Enterprise Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
7.2.3. Small & Medium Enterprise (SME)
7.2.3.1. Small & Medium Enterprise (SME) Market Revenue (USD Billion) and Growth Rate (%), 2020-2032
CHAPTER 8. North America Analytics as a Service Market By Country
8.1. North America Analytics as a Service Market Overview
8.2. U.S.
8.2.1. U.S. Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
8.2.2. U.S. Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
8.2.3. U.S. Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
8.3. Canada
8.3.1. Canada Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
8.3.2. Canada Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
8.3.3. Canada Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
8.4. North America PEST Analysis
CHAPTER 9. Europe Analytics as a Service Market By Country
9.1. Europe Analytics as a Service Market Overview
9.2. U.K.
9.2.1. U.K. Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
9.2.2. U.K. Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
9.2.3. U.K. Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
9.3. Germany
9.3.1. Germany Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
9.3.2. Germany Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
9.3.3. Germany Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
9.4. France
9.4.1. France Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
9.4.2. France Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
9.4.3. France Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
9.5. Spain
9.5.1. Spain Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
9.5.2. Spain Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
9.5.3. Spain Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
9.6. Rest of Europe
9.6.1. Rest of Europe Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
9.6.2. Rest of Europe Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
9.6.3. Rest of Europe Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
9.7. Europe PEST Analysis
CHAPTER 10. Asia Pacific Analytics as a Service Market By Country
10.1. Asia Pacific Analytics as a Service Market Overview
10.2. China
10.2.1. China Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.2.2. China Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.2.3. China Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.3. Japan
10.3.1. Japan Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.3.2. Japan Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.3.3. Japan Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.4. India
10.4.1. India Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.4.2. India Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.4.3. India Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.5. Australia
10.5.1. Australia Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.5.2. Australia Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.5.3. Australia Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.6. South Korea
10.6.1. South Korea Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.6.2. South Korea Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.6.3. South Korea Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.7. Rest of Asia-Pacific
10.7.1. Rest of Asia-Pacific Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
10.7.2. Rest of Asia-Pacific Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
10.7.3. Rest of Asia-Pacific Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
10.8. Asia Pacific PEST Analysis
CHAPTER 11. Latin America Analytics as a Service Market By Country
11.1. Latin America Analytics as a Service Market Overview
11.2. Brazil
11.2.1. Brazil Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
11.2.2. Brazil Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
11.2.3. Brazil Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
11.3. Mexico
11.3.1. Mexico Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
11.3.2. Mexico Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
11.3.3. Mexico Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
11.4. Rest of Latin America
11.4.1. Rest of Latin America Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
11.4.2. Rest of Latin America Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
11.4.3. Rest of Latin America Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
11.5. Latin America PEST Analysis
CHAPTER 12. Middle East & Africa Analytics as a Service Market By Country
12.1. Middle East & Africa Analytics as a Service Market Overview
12.2. GCC
12.2.1. GCC Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
12.2.2. GCC Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
12.2.3. GCC Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
12.3. South Africa
12.3.1. South Africa Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
12.3.2. South Africa Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
12.3.3. South Africa Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
12.4. Rest of Middle East & Africa
12.4.1. Rest of Middle East & Africa Analytics as a Service Revenue (USD Billion) and Forecast By Type, 2020-2032
12.4.2. Rest of Middle East & Africa Analytics as a Service Revenue (USD Billion) and Forecast By End-Use, 2020-2032
12.4.3. Rest of Middle East & Africa Analytics as a Service Revenue (USD Billion) and Forecast By Enterprise Size, 2020-2032
12.5. Middle East & Africa PEST Analysis
CHAPTER 13. Player Analysis Of Analytics as a Service Market
13.1. Analytics as a Service Market Company Share Analysis
13.2. Competition Matrix
13.2.1. Competitive Benchmarking Of Key Players By Price, Presence, Market Share, And R&D Investment
13.2.2. New Product Launches and Product Enhancements
13.2.3. Mergers And Acquisition In Global Analytics as a Service Market
13.2.4. Partnership, Joint Ventures and Strategic Alliances/ Sales Agreements
CHAPTER 14. Company Profile
14.1. Amazon Web Services (AWS)
14.1.1. Company Snapshot
14.1.2. Business Overview
14.1.3. Financial Overview
14.1.3.1. Revenue (USD Billion), 2022
14.1.3.2. Amazon Web Services (AWS) 2022 Analytics as a Service Business Regional Distribution
14.1.4. Product /Service and Specification
14.1.5. Recent Developments & Business Strategy
14.2. Microsoft Azure
14.3. Google Cloud Platform (GCP)
14.4. IBM Cloud
14.5. SAP
14.6. Oracle
14.7. Alteryx
14.8. TIBCO Software
14.9. SAS Institute
14.10. Tableau