The analytics as a service (AaaS) market size was projected to be US$ 9.5 billion in 2023. In 2024, the industry is likely to reach a valuation of US$ 11.8 billion. During the forecast period, the global market for analytics as a service (AaaS) is expected to incline at a 25.30% CAGR and reach a size US$ 111.9 billion by 2034.
Key Industry Trends and Highlights
| Attributes | Details |
|---|---|
| Estimated Market Value in 2023 | US$ 9.5 billion |
| Expected Market Value in 2024 | US$ 11.8 billion |
| Expected Market Value in 2034 | US$ 111.9 billion |
| Value based CAGR from 2024 to 2034 | 25.30% |
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| Report Attributes | Details |
|---|---|
| Market value in 2019 | US$ 4.2 billion |
| Market value in 2023 | US$ 9.5 billion |
| CAGR from 2019 to 2023 | 22.70% |
Companies resolve challenges associated with analytics as a service by emphasizing strong data protection measures, investing in easy integration solutions, and focusing on the skills gap via training programs. Smart partnerships and alliances aid in efficiently managing the changing market.
The growing popularity of edge computing, in which data processing takes place closer to the data source, is a distinct driver for the global analytics as a service market. Edge analytics improves real time insights, decreases latency, and enables decentralized applications, boosting the deployment of analytics as a service across various industries.
Principal Consultant
This report focuses on five specific countries. The global analytics as a service (AaaS) market is competitive, and each of these five countries has its unique set of development factors. Among them, Germany and Australia are expected to expand at an exceptional CAGR throughout the predicted period.
Key Statistics
Forecast CAGRs from 2024 to 2034
| Countries | CAGR from 2024 to 2034 |
|---|---|
| The United States | 23.10% |
| Japan | 24.70% |
| Germany | 26.50% |
| China | 25.80% |
| Australia | 28.80% |
The widespread adoption of a data driven decisionmaking culture among organizations in the United States is supporting the expansion of analytics as a service. Companies are rapidly recognizing the need of deriving meaningful insights from massive datasets, resulting in a significant demand for analytics services to improve operations and gain a competitive advantage.
The rapid technical breakthroughs in the United States, notably in artificial intelligence as well as machine learning, are fueling the analytics as a service market. Companies are keen to use the latest innovations to improve predictive analytics, streamline processes, and derive useful knowledge, which is propelling the regional analytics as a service market forward.
The aging population in Japan presents an unusual demographic problem that is propelling the expansion of analytics as a service. Companies to handle healthcare demands, optimize aged care services, and modify corporate strategies to accommodate changing customer habits impacted by an aging culture are using analytics.
The susceptibility of Japan to natural disasters has increased demand for Analytics-as-a-Service (AaaS) solutions that improve disaster planning and response. Real time insights provided by analytics technology assist companies and government agencies in proactive risk mitigation, planning and effective resource allocation during disasters.
The significant emphasis of Germany on quality manufacturing along with Industry 4.0 projects is a significant driver of development in analytics as a service (AaaS). Manufacturing companies use analytics to enhance production processes, forecast maintenance needs, and improve overall operational efficiency.
The adoption of analytics as a service (AaaS) is being driven by the regional commitment towards renewable energy and its comprehensive energy transformation strategy. Various companies in the energy industry to manage renewable energy sources, improve grid operations, and negotiate the complexity of shifting to a sustainable energy future use advanced analytics.
The booming e commerce sector in China is a primary driver of analytics as a service (AaaS) growth. Companies use analytics to better analyze customer behavior, improve targeted marketing campaigns, and optimize their logistics operations, all of which contribute to the rapid growth of the e commerce sector.
The growing urbanization and emphasis on smart city development drive in China demand for analytics as a service (AaaS). In the context of a rapidly urbanizing population, companies use analytics to oversee urban infrastructure, improve public services, and handle healthcare, transportation, and resource allocation concerns.
The emphasis of the Australian government on digital transformation in healthcare is driving the adoption of analytics as a service (AaaS). Healthcare providers use analytics to streamline operations, improve patient care, and improve health outcomes, adding to the total rise in analytics services in the country.
The significant resource industry in Australia, particularly mining and agriculture, is a primary driver of analytics as a service (AaaS) growth. Analytics is used by companies in various industries to maximize resource extraction, increase production efficiency, and to make data driven choices for effective resource management.
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Based on type, the market has been segmented into predictive, prescriptive, diagnostic, and descriptive. Among these, the predictive segment is anticipated to take up a sizable market share during the forecast period.
Based on deployment type, the market has been segmented into public cloud, private cloud, hybrid cloud. The public cloud category will gain the maximum traction out of these deployment types from 2024 to 2034.
| Category | Market share in 2024 |
|---|---|
| Predictive | 33% |
| Public Cloud | 37% |
The predictive segment by type is anticipated to gain a market share of 33% in 2024. Predictive analytics is gaining pace in the global analytics as a service market owing to its capacity to foresee future patterns and outcomes by leveraging previous data and powerful algorithms. Companies are increasingly using technology to optimize operations, improve decision making, and discover chances for development.
This proactive strategy allows companies to reduce risks, enhance productivity, and gain a competitive advantage. The increasing need for real time insights, as well as the ongoing development of data driven technologies, contribute to the growing appeal of predictive analytics as a critical component within the analytics as a service atmosphere.
In 2024, the public cloud segment is likely to gain a 37% global market share by deployment type. Companies within the analytics as a service market opt for public cloud deployment because of its cost effectiveness, scalability, and accessibility. Companies can rapidly extend their analytics infrastructure depending on demand by leveraging shared resources. The pay as you go concept reduces costs by reducing the need for large upfront commitments.
Public clouds provide global accessibility, allowing customers to access analytics tools along with insights from any location. Public cloud deployment is a popular solution for enterprises seeking best performance within the dynamic analytics as a service ecosystem because of its flexibility, efficiency, and decreased operational load.
Analytics as a service companies use modern technologies like machine learning as well as artificial intelligence to provide prescriptive and predictive analytics solutions. They emphasize customisation to satisfy a wide range of corporate requirements, while also delivering scalable and cost effective services.
These companies emphasize cloud based technologies to offer flexibility and accessibility. Customer satisfaction is increased via strategic collaborations, data security measures, along with user friendly interfaces. Companies may grab market share and drive profitability in the dynamic analytics as a service landscape by constantly innovating and adapting to emerging trends. Few of the notable developments by the key companies in this domain are as follows.
| Company | Key Developments |
|---|---|
| IBM |
|
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| Attribute | Details |
|---|---|
| Projected market value in 2024 | US$ 11.8 billion |
| Projected market value in 2034 | US$ 111.9 billion |
| Forecast CAGR from 2024 to 2034 | 25.30% |
| Forecast period | 2024 to 2034 |
| Historical period | 2019 to 2023 |
| Market analysis | Value in US$ billion |
| Key regions covered |
|
| Key countries profiled |
|
| Key market segments |
|
| Key companies profiled |
|
The global analytics as a service (AaaS) market is expected to reach US$ 11.8 billion by 2024.
The global analytics as a service (AaaS) market is set to expand at a CAGR of 25.30% by 2034.
The global analytics as a service (AaaS) market is forecast to reach US$ 111.9 billion by 2034.
The predictive segment is projected to acquire a 33% share in 2024.
The public cloud segment is forecast to acquire a 37% share in 2024.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Investment Feasibility Matrix
3.5. PESTLE and Porter’s Analysis
3.6. Regulatory Landscape
3.6.1. By Key Regions
3.6.2. By Key Countries
3.7. Regional Parent Market Outlook
4. Global Market Analysis 2019 to 2023 and Forecast, 2024 to 2034
4.1. Historical Market Size Value (US$ Million) Analysis, 2019 to 2023
4.2. Current and Future Market Size Value (US$ Million) Projections, 2024 to 2034
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2019 to 2023
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2024 to 2034
5.3.1. Predictive
5.3.2. Prescriptive
5.3.3. Diagnostic
5.3.4. Descriptive
5.4. Y-o-Y Growth Trend Analysis By Type, 2019 to 2023
5.5. Absolute $ Opportunity Analysis By Type, 2024 to 2034
6. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Deployment Mode
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Deployment Mode, 2019 to 2023
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Mode, 2024 to 2034
6.3.1. Public Cloud
6.3.2. Private Cloud
6.3.3. Hybrid Cloud
6.4. Y-o-Y Growth Trend Analysis By Deployment Mode, 2019 to 2023
6.5. Absolute $ Opportunity Analysis By Deployment Mode, 2024 to 2034
7. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Component
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Component , 2019 to 2023
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Component , 2024 to 2034
7.3.1. Solutions
7.3.2. Services
7.4. Y-o-Y Growth Trend Analysis By Component , 2019 to 2023
7.5. Absolute $ Opportunity Analysis By Component , 2024 to 2034
8. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Application
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By Application, 2019 to 2023
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2024 to 2034
8.3.1. BFSI
8.3.2. Retail and Wholesale
8.3.3. Telecommunication and IT
8.3.4. Government
8.3.5. Healthcare and Life Sciences
8.3.6. Manufacturing
8.3.7. Others
8.4. Y-o-Y Growth Trend Analysis By Application, 2019 to 2023
8.5. Absolute $ Opportunity Analysis By Application, 2024 to 2034
9. Global Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2019 to 2023
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2024 to 2034
9.3.1. North America
9.3.2. Latin America
9.3.3. Western Europe
9.3.4. Eastern Europe
9.3.5. South Asia and Pacific
9.3.6. East Asia
9.3.7. Middle East and Africa
9.4. Market Attractiveness Analysis By Region
10. North America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Type
10.2.3. By Deployment Mode
10.2.4. By Component
10.2.5. By Application
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By Deployment Mode
10.3.4. By Component
10.3.5. By Application
10.4. Key Takeaways
11. Latin America Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
11.2.1. By Country
11.2.1.1. Brazil
11.2.1.2. Mexico
11.2.1.3. Rest of Latin America
11.2.2. By Type
11.2.3. By Deployment Mode
11.2.4. By Component
11.2.5. By Application
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By Deployment Mode
11.3.4. By Component
11.3.5. By Application
11.4. Key Takeaways
12. Western Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
12.2.1. By Country
12.2.1.1. Germany
12.2.1.2. UK
12.2.1.3. France
12.2.1.4. Spain
12.2.1.5. Italy
12.2.1.6. Rest of Western Europe
12.2.2. By Type
12.2.3. By Deployment Mode
12.2.4. By Component
12.2.5. By Application
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By Deployment Mode
12.3.4. By Component
12.3.5. By Application
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
13.2.1. By Country
13.2.1.1. Poland
13.2.1.2. Russia
13.2.1.3. Czech Republic
13.2.1.4. Romania
13.2.1.5. Rest of Eastern Europe
13.2.2. By Type
13.2.3. By Deployment Mode
13.2.4. By Component
13.2.5. By Application
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By Deployment Mode
13.3.4. By Component
13.3.5. By Application
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
14.2.1. By Country
14.2.1.1. India
14.2.1.2. Bangladesh
14.2.1.3. Australia
14.2.1.4. New Zealand
14.2.1.5. Rest of South Asia and Pacific
14.2.2. By Type
14.2.3. By Deployment Mode
14.2.4. By Component
14.2.5. By Application
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Type
14.3.3. By Deployment Mode
14.3.4. By Component
14.3.5. By Application
14.4. Key Takeaways
15. East Asia Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
15.2.1. By Country
15.2.1.1. China
15.2.1.2. Japan
15.2.1.3. South Korea
15.2.2. By Type
15.2.3. By Deployment Mode
15.2.4. By Component
15.2.5. By Application
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Type
15.3.3. By Deployment Mode
15.3.4. By Component
15.3.5. By Application
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2019 to 2023 and Forecast 2024 to 2034, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2019 to 2023
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2024 to 2034
16.2.1. By Country
16.2.1.1. GCC Countries
16.2.1.2. South Africa
16.2.1.3. Israel
16.2.1.4. Rest of MEA
16.2.2. By Type
16.2.3. By Deployment Mode
16.2.4. By Component
16.2.5. By Application
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Type
16.3.3. By Deployment Mode
16.3.4. By Component
16.3.5. By Application
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2023
17.1.2.1. By Type
17.1.2.2. By Deployment Mode
17.1.2.3. By Component
17.1.2.4. By Application
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2023
17.2.2.1. By Type
17.2.2.2. By Deployment Mode
17.2.2.3. By Component
17.2.2.4. By Application
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2023
17.3.2.1. By Type
17.3.2.2. By Deployment Mode
17.3.2.3. By Component
17.3.2.4. By Application
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2023
17.4.2.1. By Type
17.4.2.2. By Deployment Mode
17.4.2.3. By Component
17.4.2.4. By Application
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2023
17.5.2.1. By Type
17.5.2.2. By Deployment Mode
17.5.2.3. By Component
17.5.2.4. By Application
17.6. UK
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2023
17.6.2.1. By Type
17.6.2.2. By Deployment Mode
17.6.2.3. By Component
17.6.2.4. By Application
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2023
17.7.2.1. By Type
17.7.2.2. By Deployment Mode
17.7.2.3. By Component
17.7.2.4. By Application
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2023
17.8.2.1. By Type
17.8.2.2. By Deployment Mode
17.8.2.3. By Component
17.8.2.4. By Application
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2023
17.9.2.1. By Type
17.9.2.2. By Deployment Mode
17.9.2.3. By Component
17.9.2.4. By Application
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2023
17.10.2.1. By Type
17.10.2.2. By Deployment Mode
17.10.2.3. By Component
17.10.2.4. By Application
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2023
17.11.2.1. By Type
17.11.2.2. By Deployment Mode
17.11.2.3. By Component
17.11.2.4. By Application
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2023
17.12.2.1. By Type
17.12.2.2. By Deployment Mode
17.12.2.3. By Component
17.12.2.4. By Application
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2023
17.13.2.1. By Type
17.13.2.2. By Deployment Mode
17.13.2.3. By Component
17.13.2.4. By Application
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2023
17.14.2.1. By Type
17.14.2.2. By Deployment Mode
17.14.2.3. By Component
17.14.2.4. By Application
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2023
17.15.2.1. By Type
17.15.2.2. By Deployment Mode
17.15.2.3. By Component
17.15.2.4. By Application
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2023
17.16.2.1. By Type
17.16.2.2. By Deployment Mode
17.16.2.3. By Component
17.16.2.4. By Application
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2023
17.17.2.1. By Type
17.17.2.2. By Deployment Mode
17.17.2.3. By Component
17.17.2.4. By Application
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2023
17.18.2.1. By Type
17.18.2.2. By Deployment Mode
17.18.2.3. By Component
17.18.2.4. By Application
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2023
17.19.2.1. By Type
17.19.2.2. By Deployment Mode
17.19.2.3. By Component
17.19.2.4. By Application
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2023
17.20.2.1. By Type
17.20.2.2. By Deployment Mode
17.20.2.3. By Component
17.20.2.4. By Application
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2023
17.21.2.1. By Type
17.21.2.2. By Deployment Mode
17.21.2.3. By Component
17.21.2.4. By Application
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2023
17.22.2.1. By Type
17.22.2.2. By Deployment Mode
17.22.2.3. By Component
17.22.2.4. By Application
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2023
17.23.2.1. By Type
17.23.2.2. By Deployment Mode
17.23.2.3. By Component
17.23.2.4. By Application
18. Market Structure Analysis
18.1. Competition Dashboard
18.2. Competition Benchmarking
18.3. Market Share Analysis of Top Players
18.3.1. By Regional
18.3.2. By Type
18.3.3. By Deployment Mode
18.3.4. By Component
18.3.5. By Application
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. IBM
19.1.1.1. Overview
19.1.1.2. Product Portfolio
19.1.1.3. Profitability by Market Segments
19.1.1.4. Sales Footprint
19.1.1.5. Strategy Overview
19.1.1.5.1. Marketing Strategy
19.1.2. Oracle
19.1.2.1. Overview
19.1.2.2. Product Portfolio
19.1.2.3. Profitability by Market Segments
19.1.2.4. Sales Footprint
19.1.2.5. Strategy Overview
19.1.2.5.1. Marketing Strategy
19.1.3. SAS Institute
19.1.3.1. Overview
19.1.3.2. Product Portfolio
19.1.3.3. Profitability by Market Segments
19.1.3.4. Sales Footprint
19.1.3.5. Strategy Overview
19.1.3.5.1. Marketing Strategy
19.1.4. Google
19.1.4.1. Overview
19.1.4.2. Product Portfolio
19.1.4.3. Profitability by Market Segments
19.1.4.4. Sales Footprint
19.1.4.5. Strategy Overview
19.1.4.5.1. Marketing Strategy
19.1.5. Amazon Web Services (AWS)
19.1.5.1. Overview
19.1.5.2. Product Portfolio
19.1.5.3. Profitability by Market Segments
19.1.5.4. Sales Footprint
19.1.5.5. Strategy Overview
19.1.5.5.1. Marketing Strategy
19.1.6. Computer Science Corporation (CSC)
19.1.6.1. Overview
19.1.6.2. Product Portfolio
19.1.6.3. Profitability by Market Segments
19.1.6.4. Sales Footprint
19.1.6.5. Strategy Overview
19.1.6.5.1. Marketing Strategy
19.1.7. Hewlett-Packard Enterprise (HPE)
19.1.7.1. Overview
19.1.7.2. Product Portfolio
19.1.7.3. Profitability by Market Segments
19.1.7.4. Sales Footprint
19.1.7.5. Strategy Overview
19.1.7.5.1. Marketing Strategy
19.1.8. EMC
19.1.8.1. Overview
19.1.8.2. Product Portfolio
19.1.8.3. Profitability by Market Segments
19.1.8.4. Sales Footprint
19.1.8.5. Strategy Overview
19.1.8.5.1. Marketing Strategy
19.1.9. GoodData
19.1.9.1. Overview
19.1.9.2. Product Portfolio
19.1.9.3. Profitability by Market Segments
19.1.9.4. Sales Footprint
19.1.9.5. Strategy Overview
19.1.9.5.1. Marketing Strategy
19.1.10. Microsoft
19.1.10.1. Overview
19.1.10.2. Product Portfolio
19.1.10.3. Profitability by Market Segments
19.1.10.4. Sales Footprint
19.1.10.5. Strategy Overview
19.1.10.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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Analytics as a Service (AaaS) Market
