The financial analytics market is expected to be worth US$ 8,462.6 million in 2023. The market has jumped in value from US$ 7,700.3 million in 2022. For the period from 2023 to 2033, the CAGR of the market is forecasted to be a robust 11.5%. By 2033, the size of the market is projected to have ballooned to US$ 25,208.4 million.
Consumption Analysis in the Financial Analytics Market
| Attributes | Details |
|---|---|
| Financial Analytics Market Value for 2023 | US$ 8,462.6 million |
| Projected Market Value for 2033 | US$ 25,208.4 million |
| Value-based CAGR of Market for 2023 to 2033 | 11.5% |
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The financial analytics market was tipped to be US$ 5,017.96 million. The market likely progressed at an impressive CAGR of 11.3% during the historical period.
The continued growth of businesses aided the market. As economies expanded around the world, but particularly strongly in Europe, the need for business analytics was felt by enterprises. The pandemic presented unique challenges to businesses. To tackle the challenges, as well as to take advantage of opportunities, the help of financial analytics was sought. By the end of the historical period in 2022, the market valuation had reached US$ 7,700.3 million.
| Market Valuation (2018) | US$ 5,017.96 million |
|---|---|
| Historical CAGR (2018 to 2022) | 13.3% |
| Historical Valuation (2022) | US$ 7,700.3 million |
For 2023, the value of the financial analytics market is anticipated to be US$ 8,462.6 million. The market is predicted to grow at a remarkable pace over the period from 2023 to 2033, with a CAGR of 11.5%.
Businesses are predicted to flourish even more impressively in the forecast period than in the historical period. The rise in the number of enterprises is resulting in the financial analytics market receiving a boost. Companies are using financial analytics to gain a competitive edge over the competition.
As the number of enterprises increases, so does the data required to be handled. Instead of getting bogged down in the data, companies are taking the help of financial analytics service providers. The professionalism of the service providers not only helps businesses come up with analyses that can be used for decision-making but also saves time.
The financial analytics industry is further set to be bolstered by new avenues. Apart from business, consumers and employees are also taking the help of financial analytics to make sound financial decisions. At the end of the forecast period in 2033, the market is predicted to have jumped to US$ 25,208.4 million.
Principal Consultant
The financial analytics market can be separated into two segments: type and application. By looking at the segments, the need of businesses for the type of financial analytics becomes clear. The category for which financial analytics are majorly sought by businesses is also seen.
Database management systems (DBMS) have captured a sizable chunk of the market. For 2023, database management systems are predicted to contribute to 18.4% of the market share by type.
The huge influx of data in modern business necessitates the use of a system that can keep track of it. Database management systems provide an interface for users to store, retrieve, and process data. Thus, the adoption of database management systems (DBMS) is happening at an impressive rate in commercial spaces.
| Attributes | Details |
|---|---|
| Top Type | Database Management Systems |
| Market Share in 2023 | 18.4% |
Management of assets and liabilities is given importance by businesses. In 2023, assets and liabilities are expected to account for 20.5% of the market share by application.
Businesses are becoming aware of keeping a close eye on assets and liabilities. Mismanagement of assets and liabilities can lead to problems like lack of liquidity and increasing debt. Thus, businesses are resorting to taking the help of financial analytics to manage and analyze trends in assets and liabilities.
| Attributes | Details |
|---|---|
| Top Application | Assets and Liabilities |
| Market Share in 2023 | 20.5% |
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Due to a major boom in the number of businesses in the region, the financial analytics market is expected to show exceptional growth in the Asia Pacific. The expanding economies in the countries of the region are conducive to the growth of the market. China, India, Japan, and South Korea are the major countries in the region for the market.
North America and Europe are the other regions where the market thrives. However, the growth in the Asia Pacific is set to outshine the growth of any other region.
| Countries | CAGR (2023 to 2033) |
|---|---|
| United States | 6.3% |
| India | 18.5% |
| South Korea | 12.2% |
| Japan | 14.3% |
| China | 15.2% |
The ongoing rise of the Indian economy is fueling the market in India. For the period from 2023 to 2033, the CAGR of the market in India is estimated at an extraordinary 18.5%.
The rise of financial analytics in the country can be greatly attributed to the number of experts operating in the field. India is claimed to have the 2nd biggest talent pool of data analytics in the world. Combined with the rapidly progressing economy, India thus has sizable potential in the financial analytics market.
The significant Chinese economy is expected to aid rapid growth in the market. For the forecast period, the Chinese market is predicted to grow at a staggering CAGR of 15.2%.
Financial analytics companies in China are keeping the market fresh by introducing new products. Established players in the country are thus seeing a rise in demand for financial analytics. For example, in September 2022, industry giant Alibaba launched the Alibaba Cloud for Financial Services. The versatile solutions are designed to help businesses in several fields like banking, insurance, and securities.
Japan is another Asian country where the market is expected to flourish. During the forecast period, the market in Japan is estimated to progress at a significant CAGR of 14.3%.
The pace of progress in the Japanese economy is turning out to be even greater than predicted by experts. To keep up with the rapidly rising business sector, financial analytics services are also developing fast. Thus, Japan presents a significant opportunity for the market.
Korea’s openness to technology is seeing the financial analysis market thrive in the country. For the forecast period, the CAGR for Korea is an impressive 12.2%.
Advanced technology is being used by financial analytics companies in Korea to appeal to consumers. For example, established player LG CNS, in October 2023, launched a data analytics platform called Data Analytics & AI Platform Generative AI, or DAP GenAI for short. The platform is built for the clients of the company and uses AI to allow the clients faster data solutions.
Several reputable names have earned the trust of businesses in the market. However, there is scope for medium-sized and small-scale enterprises in the market too.
Technology is playing a crucial part in the market. Through the use of advanced technologies, competitors are trying to get an edge over the competition.
Recent Developments in the Financial Analytics Market
The size of the financial analytics market is estimated to be US$ 8,462.6 million in 2023.
The CAGR of the financial analytics market is predicted at a remarkable 11.5% for the period from 2023 to 2033.
The financial analytics market is expected to reach a valuation of US$ 25,208.4 million in 2033.
SAP A.G., International Business Machines Corporation (IBM), Oracle Corporation, and TIBCO Software Inc. are some of the prominent companies in the market
Cloud computing and the inclusion of AI are two of the trends in the financial analytics market.
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 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Type
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Type, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Type, 2023 to 2033
5.3.1. Data integration tool
5.3.2. Database Management System (DBMS)
5.3.3. Query
5.3.4. OLAP and visualization tools
5.3.5. Reporting and analysis
5.3.6. Analytical solutions
5.3.7. Consulting and support services
5.3.8. Others
5.4. Y-o-Y Growth Trend Analysis By Type, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Type, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Application
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Application, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Application, 2023 to 2033
6.3.1. Assets and liability management
6.3.2. Payables management
6.3.3. Budgetary control management
6.3.4. Profitability management
6.3.5. Receivables management
6.3.6. Governance and Risk and Compliance (GRC) management
6.4. Y-o-Y Growth Trend Analysis By Application, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Application, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Deployment Type
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis By Deployment Type, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Deployment Type, 2023 to 2033
7.3.1. On-premise
7.3.2. Cloud-based
7.4. Y-o-Y Growth Trend Analysis By Deployment Type, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By Deployment Type, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Use
8.1. Introduction / Key Findings
8.2. Historical Market Size Value (US$ Million) Analysis By End Use, 2018 to 2022
8.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By End Use, 2023 to 2033
8.3.1. Banking, Financial Services & Insurance (BFSI)
8.3.2. Food & Beverages
8.3.3. Transportation & Logistics
8.3.4. Consumer Goods & Retail
8.3.5. Healthcare and Life Sciences
8.3.6. Government
8.3.7. Manufacturing
8.3.8. Travel and Hospitality
8.3.9. Media and Entertainment
8.3.10. Telecommunication and IT
8.3.11. Public Sector
8.3.12. Energy and Utilities
8.4. Y-o-Y Growth Trend Analysis By End Use, 2018 to 2022
8.5. Absolute $ Opportunity Analysis By End Use, 2023 to 2033
9. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
9.1. Introduction
9.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
9.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
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 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. USA
10.2.1.2. Canada
10.2.2. By Type
10.2.3. By Application
10.2.4. By Deployment Type
10.2.5. By End Use
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Type
10.3.3. By Application
10.3.4. By Deployment Type
10.3.5. By End Use
10.4. Key Takeaways
11. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
11.2.4. By Deployment Type
11.2.5. By End Use
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Type
11.3.3. By Application
11.3.4. By Deployment Type
11.3.5. By End Use
11.4. Key Takeaways
12. Western Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
12.2.4. By Deployment Type
12.2.5. By End Use
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Type
12.3.3. By Application
12.3.4. By Deployment Type
12.3.5. By End Use
12.4. Key Takeaways
13. Eastern Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
13.2.4. By Deployment Type
13.2.5. By End Use
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Type
13.3.3. By Application
13.3.4. By Deployment Type
13.3.5. By End Use
13.4. Key Takeaways
14. South Asia and Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
14.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
14.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
14.2.4. By Deployment Type
14.2.5. By End Use
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Type
14.3.3. By Application
14.3.4. By Deployment Type
14.3.5. By End Use
14.4. Key Takeaways
15. East Asia Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
15.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
15.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
15.2.4. By Deployment Type
15.2.5. By End Use
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Type
15.3.3. By Application
15.3.4. By Deployment Type
15.3.5. By End Use
15.4. Key Takeaways
16. Middle East and Africa Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
16.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
16.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
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 Application
16.2.4. By Deployment Type
16.2.5. By End Use
16.3. Market Attractiveness Analysis
16.3.1. By Country
16.3.2. By Type
16.3.3. By Application
16.3.4. By Deployment Type
16.3.5. By End Use
16.4. Key Takeaways
17. Key Countries Market Analysis
17.1. USA
17.1.1. Pricing Analysis
17.1.2. Market Share Analysis, 2022
17.1.2.1. By Type
17.1.2.2. By Application
17.1.2.3. By Deployment Type
17.1.2.4. By End Use
17.2. Canada
17.2.1. Pricing Analysis
17.2.2. Market Share Analysis, 2022
17.2.2.1. By Type
17.2.2.2. By Application
17.2.2.3. By Deployment Type
17.2.2.4. By End Use
17.3. Brazil
17.3.1. Pricing Analysis
17.3.2. Market Share Analysis, 2022
17.3.2.1. By Type
17.3.2.2. By Application
17.3.2.3. By Deployment Type
17.3.2.4. By End Use
17.4. Mexico
17.4.1. Pricing Analysis
17.4.2. Market Share Analysis, 2022
17.4.2.1. By Type
17.4.2.2. By Application
17.4.2.3. By Deployment Type
17.4.2.4. By End Use
17.5. Germany
17.5.1. Pricing Analysis
17.5.2. Market Share Analysis, 2022
17.5.2.1. By Type
17.5.2.2. By Application
17.5.2.3. By Deployment Type
17.5.2.4. By End Use
17.6. UK
17.6.1. Pricing Analysis
17.6.2. Market Share Analysis, 2022
17.6.2.1. By Type
17.6.2.2. By Application
17.6.2.3. By Deployment Type
17.6.2.4. By End Use
17.7. France
17.7.1. Pricing Analysis
17.7.2. Market Share Analysis, 2022
17.7.2.1. By Type
17.7.2.2. By Application
17.7.2.3. By Deployment Type
17.7.2.4. By End Use
17.8. Spain
17.8.1. Pricing Analysis
17.8.2. Market Share Analysis, 2022
17.8.2.1. By Type
17.8.2.2. By Application
17.8.2.3. By Deployment Type
17.8.2.4. By End Use
17.9. Italy
17.9.1. Pricing Analysis
17.9.2. Market Share Analysis, 2022
17.9.2.1. By Type
17.9.2.2. By Application
17.9.2.3. By Deployment Type
17.9.2.4. By End Use
17.10. Poland
17.10.1. Pricing Analysis
17.10.2. Market Share Analysis, 2022
17.10.2.1. By Type
17.10.2.2. By Application
17.10.2.3. By Deployment Type
17.10.2.4. By End Use
17.11. Russia
17.11.1. Pricing Analysis
17.11.2. Market Share Analysis, 2022
17.11.2.1. By Type
17.11.2.2. By Application
17.11.2.3. By Deployment Type
17.11.2.4. By End Use
17.12. Czech Republic
17.12.1. Pricing Analysis
17.12.2. Market Share Analysis, 2022
17.12.2.1. By Type
17.12.2.2. By Application
17.12.2.3. By Deployment Type
17.12.2.4. By End Use
17.13. Romania
17.13.1. Pricing Analysis
17.13.2. Market Share Analysis, 2022
17.13.2.1. By Type
17.13.2.2. By Application
17.13.2.3. By Deployment Type
17.13.2.4. By End Use
17.14. India
17.14.1. Pricing Analysis
17.14.2. Market Share Analysis, 2022
17.14.2.1. By Type
17.14.2.2. By Application
17.14.2.3. By Deployment Type
17.14.2.4. By End Use
17.15. Bangladesh
17.15.1. Pricing Analysis
17.15.2. Market Share Analysis, 2022
17.15.2.1. By Type
17.15.2.2. By Application
17.15.2.3. By Deployment Type
17.15.2.4. By End Use
17.16. Australia
17.16.1. Pricing Analysis
17.16.2. Market Share Analysis, 2022
17.16.2.1. By Type
17.16.2.2. By Application
17.16.2.3. By Deployment Type
17.16.2.4. By End Use
17.17. New Zealand
17.17.1. Pricing Analysis
17.17.2. Market Share Analysis, 2022
17.17.2.1. By Type
17.17.2.2. By Application
17.17.2.3. By Deployment Type
17.17.2.4. By End Use
17.18. China
17.18.1. Pricing Analysis
17.18.2. Market Share Analysis, 2022
17.18.2.1. By Type
17.18.2.2. By Application
17.18.2.3. By Deployment Type
17.18.2.4. By End Use
17.19. Japan
17.19.1. Pricing Analysis
17.19.2. Market Share Analysis, 2022
17.19.2.1. By Type
17.19.2.2. By Application
17.19.2.3. By Deployment Type
17.19.2.4. By End Use
17.20. South Korea
17.20.1. Pricing Analysis
17.20.2. Market Share Analysis, 2022
17.20.2.1. By Type
17.20.2.2. By Application
17.20.2.3. By Deployment Type
17.20.2.4. By End Use
17.21. GCC Countries
17.21.1. Pricing Analysis
17.21.2. Market Share Analysis, 2022
17.21.2.1. By Type
17.21.2.2. By Application
17.21.2.3. By Deployment Type
17.21.2.4. By End Use
17.22. South Africa
17.22.1. Pricing Analysis
17.22.2. Market Share Analysis, 2022
17.22.2.1. By Type
17.22.2.2. By Application
17.22.2.3. By Deployment Type
17.22.2.4. By End Use
17.23. Israel
17.23.1. Pricing Analysis
17.23.2. Market Share Analysis, 2022
17.23.2.1. By Type
17.23.2.2. By Application
17.23.2.3. By Deployment Type
17.23.2.4. By End Use
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 Application
18.3.4. By Deployment Type
18.3.5. By End Use
19. Competition Analysis
19.1. Competition Deep Dive
19.1.1. SAP A.G.
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. International Business Machines Corporation (IBM)
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. Oracle Corporation
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. TIBCO Software Inc.
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. MicroStrategy Inc.
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. Deloitte Touche Tohmatsu Limited
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. Hitachi Consulting Corporation
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. Information Builders
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. Fair Isaac Corporation (FICO)
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 Corporation
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
19.1.11. Symphony Teleca Corp.
19.1.11.1. Overview
19.1.11.2. Product Portfolio
19.1.11.3. Profitability by Market Segments
19.1.11.4. Sales Footprint
19.1.11.5. Strategy Overview
19.1.11.5.1. Marketing Strategy
19.1.12. Teradata Corp.
19.1.12.1. Overview
19.1.12.2. Product Portfolio
19.1.12.3. Profitability by Market Segments
19.1.12.4. Sales Footprint
19.1.12.5. Strategy Overview
19.1.12.5.1. Marketing Strategy
19.1.13. Tableau Software Inc.
19.1.13.1. Overview
19.1.13.2. Product Portfolio
19.1.13.3. Profitability by Market Segments
19.1.13.4. Sales Footprint
19.1.13.5. Strategy Overview
19.1.13.5.1. Marketing Strategy
19.1.14. Rosslyn Analytics Ltd.
19.1.14.1. Overview
19.1.14.2. Product Portfolio
19.1.14.3. Profitability by Market Segments
19.1.14.4. Sales Footprint
19.1.14.5. Strategy Overview
19.1.14.5.1. Marketing Strategy
19.1.15. SAS Institute Inc.
19.1.15.1. Overview
19.1.15.2. Product Portfolio
19.1.15.3. Profitability by Market Segments
19.1.15.4. Sales Footprint
19.1.15.5. Strategy Overview
19.1.15.5.1. Marketing Strategy
20. Assumptions & Acronyms Used
21. Research Methodology
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