The augmented analytics market size is expected to be worth US$ 8,654.5 million in 2023. The augmented analytics market is expected to reach US$ 62,360 Million by 2033. According to the forecast, augmented analytics will increase at a CAGR of 21.8%.
Augmented Analytics Market Trends and Highlights
Machine learning and artificial intelligence are often used in augmented analytics to make data more accurate, actionable, and useful. In the era of increasing data volumes generated by businesses, it is becoming increasingly difficult to analyze these data efficiently and make sense of them. Automation of data processing and actionable insights can be achieved with augmented analytics.
Key Augmented Analytics Market Trends
An integrated data discovery solution combines useful insights into business operations and stores them centrally. With Chatbots, communication devices, and varied means of voice responses, natural language is an integral part of augmented analytics that enhances conversational augmented analytics market analysis.
| Attributes | Key Insights |
|---|---|
| Augmented Analytics Market Estimated Size in 2023 | US$ 8,654.5 million |
| Projected Market Value in 2033 | US$ 62,360 million |
| Value-based CAGR from 2023 to 2033 | 21.8% |
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The augmented analytics market recorded a 19% CAGR between 2018 and 2022. The global demand for augmented analytics is expected to expand at a moderate CAGR of 21.8% over the forecast period 2023 to 2033.
With machine learning and natural language processing in combination with augmented analytics, business users and operational workers can automate data preparation. Platform capabilities are being incorporated into augmented analytics by data professionals.
A number of industries are embracing augmented analytics to address industry-specific challenges and opportunities, including finance, healthcare, retail, and manufacturing. In 2023, retailers will be able to solve customer problems, optimize their operations, and drive growth with advanced business intelligence and augmented analytics.
| Historical CAGR from 2018 to 2022 | 19% |
|---|---|
| Forecast CAGR from 2023 to 2033 | 21.8% |
As organizations realize the potential of augmented analytics to democratize data analysis, it is likely to become more mainstream. As companies gain insights from their data, augmented analytics tools will be adopted by more small and medium-sized enterprises.
As augmented analytics becomes more integrated with other emerging technologies such as natural language processing (NLP), artificial intelligence (AI), and the IoT (Internet of Things), it will become even more powerful. Data sources and types will be more diverse and can be analyzed more easily.
Principal Consultant
The below table showcases revenues in terms of the top 5 leading countries, spearheaded by Germany and India. These two countries are expected to lead the market through 2033, with sizes of US$ 174 million and US$ 160 billion.
| Germany | US$ 164 million |
|---|---|
| India | US$ 160 million |
| United States | US$ 258 million |
| China | US$ 195 million |
| United Kingdom | US$ 178 million |
| Germany | 7.6% |
|---|---|
| India | 6.5% |
| United States | 16.5% |
| China | 9.6% |
| United Kingdom | 9.9% |
Among the markets for augmented analytics, Germany offers the highest returns. According to augmented analytics market reports Germany is expected to reach US$ 164 million by 2033, growing at a CAGR of 7.6%. Augmented analytics will likely be most prevalent in industries like automotive and finance.
As organizations become more adept at using these tools, they are gaining more insight into their data. A growing investment in business intelligence and data analytics that include augmented analytics to grow the market.
Increasing privacy concerns and regulatory frameworks are driving companies to develop augmented analytics solutions in order to be compliant with GDPR and other privacy laws.
Several initiatives led by the German government to promote data analytics, artificial intelligence, and digital transformation contributed to the growth of augmented analytics in Germany. Funding, incentives, and resources are often provided by these initiatives with the aim of enhancing the adoption of advanced analytics. In addition to these factors, the market will continue to grow in the future.
The augmented analytics market in India is expected to reach US$ 160 million by 2033. A CAGR of 6.5% is predicted for the market over the next ten years. Many industries in India generated significant amounts of data, including e-commerce, healthcare, finance, and telecommunications. Digital transformation initiatives are being undertaken by many businesses in order to stay competitive in the global market.
Customer behavior analysis has become crucial to businesses due to the rise of e-commerce and digital platforms. Companies are enhancing customer experiences and better understand their customers' preferences through augmented analytics. Increasing internet use and Industry 4.0 growth are expected to expand the market.
Augmented analytics is set to grow at a rapid pace in China, reaching US$ 195 million by 2033. The region is expected to register a 9.6% CAGR from 2023 to 2033. China has experienced a tremendous growth in data generation.
Data analytics is one of the key features of the Chinese government's "Made in China 2025" initiative, which promotes the adoption of new technologies. Analytics solutions were made more affordable by this support.
China has one of the world's largest and most dynamic e-commerce sectors. Data-driven decisions were made and companies in this sector using augmented analytics optimized operations. Precision medicine and healthcare data analytics were important innovations in China's healthcare sector. Healthcare management, drug discovery, and patient care were improved by augmented analytics.
Fintech and data-driven approaches were being adopted in China's financial sector for fraud detection, risk assessment, and customer service. A new generation of augmented analytics offers financial institutions more insights into consumer behavior.
A growing number of companies are researching and developing artificial intelligence (AI) and machine learning in China. Data privacy and security have become increasingly important as data usage has increased. To gain a competitive edge in domestic and global markets, Chinese businesses have adopted data analytics and augmented analytics.
Increasing research and development activities in the market, as well as cloud adoption, are expected to support growth in demand for augmented analytics. As cloud adoption and solutions continue to increase, the market will thrive. A 16.5% CAGR is predicted for the region between 2023 and 2033. By the end of this forecast period, the United States augmented analytics is likely to total US$ 258 million.
Software and services that offer augmented analytics are gaining popularity due to modern infrastructure, an expanding funding market, and diverse customer bases. The United States market is expected to witness rapid growth in the next few years. Business in the United States is shifting toward data-driven business, which will increase market growth.
The augmented analytics market in the United Kingdom is predicted to expand at a CAGR of 9.9% from 2023 to 2033. The business is expected to be valued at US$ 178 million by the end of the forecast period.
Augmented analytics research has been widely implemented in the United Kingdom, and the country has a thriving AI and analytics ecosystem as well. Both startups and established companies developed innovative solutions in response to the growing need for data-driven insights.
Because the United Kingdom is home to a variety of small and large businesses, augmented analytics is expected to grow in demand. There was also a significant role played by the broader digital transformation trend. For improved decision-making, customer engagement, and operational efficiency, organizations have turned to augmented analytics as they seek to modernize their operations.
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As depicted in the table below, augmented analytics software is projected to lead the market in terms of solutions, accumulating a 62.2% share in 2023. The large enterprise segment is likely to accumulate a revenue share of 67.4% through 2023.
| Category | Market Share in 2023 |
|---|---|
| Augmented Analytics Software | 62.2% |
| Large Enterprises | 67.4% |
Based on the solution, the augmented analytics software segment is expected to continue dominating the augmented analytics industry. A market share of 62.2% is expected in 2023.
Traditional data analysis methods were becoming inadequate as organizations generated more, more varied, and faster data. Business users benefit from augmented analytics software by automating a great deal of data processing in the market.
Organizations can access and analyze data using augmented analytics, which is empowering for non-technical users. As the use of data analytics becomes more democratized, there will be a greater need for user-friendly tools.
Making better decisions is facilitated by being able to generate insights rapidly and accurately from data. A heightened understanding of analytics is enabling businesses to gain a competitive edge through augmented analytics. Data professionals and business users can save time by automating data preparation and analysis tasks. With organizations seeking to make faster decisions, this efficiency becomes more important.
Integrated analytics software with seamless integration with existing tools and systems, such as analytics systems and data warehouses, is highly sought after. Investing in technology is a key part of a business's strategy.
By enterprise size, large enterprises are expected to emerge as a prominent segment. A revenue share of 67.4% is projected in 2023. Over the past few years, the demand for the augmented analytics market has increased in popularity in large-scale industries. Market research indicates that large enterprises are highly interested in augmented analytics.
These organizations are increasingly turning to augmented analytics to analyze and make decisions, offering a revolution in decision-making. Massive volumes of data are generated by large enterprises from a variety of sources. Augmented analytics tools that automate data preparation, cleansing, and integration processes can handle this complexity.
As a result, organizations are able to gain insights more easily and efficiently. Self-service analytics capabilities are enabled by augmented analytics for business users. Data analysis can be democratized across departments since it does not require deep technical expertise, which reduces the need for data specialists within large corporations. The ability to analyze data in real-time or near-real-time can help large enterprises react quickly to changes in the market, customer preferences, or operational challenges.
New products and services from leading vendors in emerging markets are addressing new needs and upgrading technology in augmented analytics. As top players in the augmented analytics industry seek competitive advantage, they are forming partnerships, acquiring companies, and expanding their operations.
| Attributes | Details |
|---|---|
| Estimated Market Size in 2023 | US$ 8,654.5 Million |
| Projected Market Valuation in 2033 | US$ 62,360 Million |
| Value-based CAGR 2023 to 2033 | 21.8% |
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | Value in US$ billion |
| Key Regions Covered |
|
| Key Market Segments Covered |
|
| Key Countries Profiled |
|
| Key Companies Profiled |
|
The augmented analytics market is valued at US$ 8,654.5 Million in 2023.
The market for augmented analytics is set to expand by a CAGR of 21.8% by 2033.
The augmented analytics industry is forecast to reach US$ 62,360 Million by 2033.
Germany uses the most augmented analytics in the market.
The hospital industry is expected to grow augmented analytics through 2033.
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 Solution
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) Analysis By Solution, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Solution, 2023 to 2033
5.3.1. Software
5.3.1.1. On-Premises
5.3.1.2. Cloud
5.3.2. Services
5.3.2.1. Consulting
5.3.2.2. Deployment and Integration
5.3.2.3. Support and Maintenance
5.4. Y-o-Y Growth Trend Analysis By Solution, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Solution, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Enterprise Size
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) Analysis By Enterprise Size, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast By Enterprise Size, 2023 to 2033
6.3.1. Large Enterprises
6.3.2. Small and Mid-Sized Enterprises (SMEs)
6.4. Y-o-Y Growth Trend Analysis By Enterprise Size, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Enterprise Size, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Industry
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) Analysis by Industry, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) Analysis and Forecast by Industry, 2023 to 2033
7.3.1. BFSI
7.3.2. Retail
7.3.3. IT & Telecom
7.3.4. Manufacturing
7.3.5. Healthcare
7.3.6. Government
7.3.7. Others
7.4. Y-o-Y Growth Trend Analysis by Industry, 2018 to 2022
7.5. Absolute $ Opportunity Analysis by Industry, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Western Europe
8.3.4. Eastern Europe
8.3.5. South Asia and Pacific
8.3.6. East Asia
8.3.7. Middle East and Africa
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. The USA
9.2.1.2. Canada
9.2.2. By Solution
9.2.3. By Enterprise Size
9.2.4. By Industry
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Solution
9.3.3. By Enterprise Size
9.3.4. By Industry
9.4. Key Takeaways
10. Latin 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. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Solution
10.2.3. By Enterprise Size
10.2.4. By Industry
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Solution
10.3.3. By Enterprise Size
10.3.4. By Industry
10.4. Key Takeaways
11. Western Europe 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. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Western Europe
11.2.2. By Solution
11.2.3. By Enterprise Size
11.2.4. By Industry
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Solution
11.3.3. By Enterprise Size
11.3.4. By Industry
11.4. Key Takeaways
12. Eastern 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. Poland
12.2.1.2. Russia
12.2.1.3. Czech Republic
12.2.1.4. Romania
12.2.1.5. Rest of Eastern Europe
12.2.2. By Solution
12.2.3. By Enterprise Size
12.2.4. By Industry
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Solution
12.3.3. By Enterprise Size
12.3.4. By Industry
12.4. Key Takeaways
13. South Asia and Pacific 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. India
13.2.1.2. Bangladesh
13.2.1.3. Australia
13.2.1.4. New Zealand
13.2.1.5. Rest of South Asia and Pacific
13.2.2. By Solution
13.2.3. By Enterprise Size
13.2.4. By Industry
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Solution
13.3.3. By Enterprise Size
13.3.4. By Industry
13.4. Key Takeaways
14. East Asia 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. China
14.2.1.2. Japan
14.2.1.3. South Korea
14.2.2. By Solution
14.2.3. By Enterprise Size
14.2.4. By Industry
14.3. Market Attractiveness Analysis
14.3.1. By Country
14.3.2. By Solution
14.3.3. By Enterprise Size
14.3.4. By Industry
14.4. Key Takeaways
15. Middle East and Africa 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. GCC Countries
15.2.1.2. South Africa
15.2.1.3. Israel
15.2.1.4. Rest of MEA
15.2.2. By Solution
15.2.3. By Enterprise Size
15.2.4. By Industry
15.3. Market Attractiveness Analysis
15.3.1. By Country
15.3.2. By Solution
15.3.3. By Enterprise Size
15.3.4. By Industry
15.4. Key Takeaways
16. Key Countries Market Analysis
16.1. USA
16.1.1. Pricing Analysis
16.1.2. Market Share Analysis, 2022
16.1.2.1. By Solution
16.1.2.2. By Enterprise Size
16.1.2.3. By Industry
16.2. Canada
16.2.1. Pricing Analysis
16.2.2. Market Share Analysis, 2022
16.2.2.1. By Solution
16.2.2.2. By Enterprise Size
16.2.2.3. By Industry
16.3. Brazil
16.3.1. Pricing Analysis
16.3.2. Market Share Analysis, 2022
16.3.2.1. By Solution
16.3.2.2. By Enterprise Size
16.3.2.3. By Industry
16.4. Mexico
16.4.1. Pricing Analysis
16.4.2. Market Share Analysis, 2022
16.4.2.1. By Solution
16.4.2.2. By Enterprise Size
16.4.2.3. By Industry
16.5. Germany
16.5.1. Pricing Analysis
16.5.2. Market Share Analysis, 2022
16.5.2.1. By Solution
16.5.2.2. By Enterprise Size
16.5.2.3. By Industry
16.6. United Kingdom
16.6.1. Pricing Analysis
16.6.2. Market Share Analysis, 2022
16.6.2.1. By Solution
16.6.2.2. By Enterprise Size
16.6.2.3. By Industry
16.7. France
16.7.1. Pricing Analysis
16.7.2. Market Share Analysis, 2022
16.7.2.1. By Solution
16.7.2.2. By Enterprise Size
16.7.2.3. By Industry
16.8. Spain
16.8.1. Pricing Analysis
16.8.2. Market Share Analysis, 2022
16.8.2.1. By Solution
16.8.2.2. By Enterprise Size
16.8.2.3. By Industry
16.9. Italy
16.9.1. Pricing Analysis
16.9.2. Market Share Analysis, 2022
16.9.2.1. By Solution
16.9.2.2. By Enterprise Size
16.9.2.3. By Industry
16.10. Poland
16.10.1. Pricing Analysis
16.10.2. Market Share Analysis, 2022
16.10.2.1. By Solution
16.10.2.2. By Enterprise Size
16.10.2.3. By Industry
16.11. Russia
16.11.1. Pricing Analysis
16.11.2. Market Share Analysis, 2022
16.11.2.1. By Solution
16.11.2.2. By Enterprise Size
16.11.2.3. By Industry
16.12. Czech Republic
16.12.1. Pricing Analysis
16.12.2. Market Share Analysis, 2022
16.12.2.1. By Solution
16.12.2.2. By Enterprise Size
16.12.2.3. By Industry
16.13. Romania
16.13.1. Pricing Analysis
16.13.2. Market Share Analysis, 2022
16.13.2.1. By Solution
16.13.2.2. By Enterprise Size
16.13.2.3. By Industry
16.14. India
16.14.1. Pricing Analysis
16.14.2. Market Share Analysis, 2022
16.14.2.1. By Solution
16.14.2.2. By Enterprise Size
16.14.2.3. By Industry
16.15. Bangladesh
16.15.1. Pricing Analysis
16.15.2. Market Share Analysis, 2022
16.15.2.1. By Solution
16.15.2.2. By Enterprise Size
16.15.2.3. By Industry
16.16. Australia
16.16.1. Pricing Analysis
16.16.2. Market Share Analysis, 2022
16.16.2.1. By Solution
16.16.2.2. By Enterprise Size
16.16.2.3. By Industry
16.17. New Zealand
16.17.1. Pricing Analysis
16.17.2. Market Share Analysis, 2022
16.17.2.1. By Solution
16.17.2.2. By Enterprise Size
16.17.2.3. By Industry
16.18. China
16.18.1. Pricing Analysis
16.18.2. Market Share Analysis, 2022
16.18.2.1. By Solution
16.18.2.2. By Enterprise Size
16.18.2.3. By Industry
16.19. Japan
16.19.1. Pricing Analysis
16.19.2. Market Share Analysis, 2022
16.19.2.1. By Solution
16.19.2.2. By Enterprise Size
16.19.2.3. By Industry
16.20. South Korea
16.20.1. Pricing Analysis
16.20.2. Market Share Analysis, 2022
16.20.2.1. By Solution
16.20.2.2. By Enterprise Size
16.20.2.3. By Industry
16.21. GCC Countries
16.21.1. Pricing Analysis
16.21.2. Market Share Analysis, 2022
16.21.2.1. By Solution
16.21.2.2. By Enterprise Size
16.21.2.3. By Industry
16.22. South Africa
16.22.1. Pricing Analysis
16.22.2. Market Share Analysis, 2022
16.22.2.1. By Solution
16.22.2.2. By Enterprise Size
16.22.2.3. By Industry
16.23. Israel
16.23.1. Pricing Analysis
16.23.2. Market Share Analysis, 2022
16.23.2.1. By Solution
16.23.2.2. By Enterprise Size
16.23.2.3. By Industry
17. Market Structure Analysis
17.1. Competition Dashboard
17.2. Competition Benchmarking
17.3. Market Share Analysis of Top Players
17.3.1. By Regional
17.3.2. By Solution
17.3.3. By Enterprise Size
17.3.4. By Industry
18. Competition Analysis
18.1. Competition Deep Dive
18.1.1. Salesforce
18.1.1.1. Overview
18.1.1.2. Product Portfolio
18.1.1.3. Profitability by Market Segments
18.1.1.4. Sales Footprint
18.1.1.5. Strategy Overview
18.1.1.5.1. Marketing Strategy
18.1.2. SAP
18.1.2.1. Overview
18.1.2.2. Product Portfolio
18.1.2.3. Profitability by Market Segments
18.1.2.4. Sales Footprint
18.1.2.5. Strategy Overview
18.1.2.5.1. Marketing Strategy
18.1.3. IBM
18.1.3.1. Overview
18.1.3.2. Product Portfolio
18.1.3.3. Profitability by Market Segments
18.1.3.4. Sales Footprint
18.1.3.5. Strategy Overview
18.1.3.5.1. Marketing Strategy
18.1.4. Microsoft
18.1.4.1. Overview
18.1.4.2. Product Portfolio
18.1.4.3. Profitability by Market Segments
18.1.4.4. Sales Footprint
18.1.4.5. Strategy Overview
18.1.4.5.1. Marketing Strategy
18.1.5. Oracle
18.1.5.1. Overview
18.1.5.2. Product Portfolio
18.1.5.3. Profitability by Market Segments
18.1.5.4. Sales Footprint
18.1.5.5. Strategy Overview
18.1.5.5.1. Marketing Strategy
18.1.6. Softengi
18.1.6.1. Overview
18.1.6.2. Product Portfolio
18.1.6.3. Profitability by Market Segments
18.1.6.4. Sales Footprint
18.1.6.5. Strategy Overview
18.1.6.5.1. Marketing Strategy
18.1.7. MicroStrategy
18.1.7.1. Overview
18.1.7.2. Product Portfolio
18.1.7.3. Profitability by Market Segments
18.1.7.4. Sales Footprint
18.1.7.5. Strategy Overview
18.1.7.5.1. Marketing Strategy
18.1.8. SAS
18.1.8.1. Overview
18.1.8.2. Product Portfolio
18.1.8.3. Profitability by Market Segments
18.1.8.4. Sales Footprint
18.1.8.5. Strategy Overview
18.1.8.5.1. Marketing Strategy
18.1.9. Qlik
18.1.9.1. Overview
18.1.9.2. Product Portfolio
18.1.9.3. Profitability by Market Segments
18.1.9.4. Sales Footprint
18.1.9.5. Strategy Overview
18.1.9.5.1. Marketing Strategy
18.1.10. TIBCO Software
18.1.10.1. Overview
18.1.10.2. Product Portfolio
18.1.10.3. Profitability by Market Segments
18.1.10.4. Sales Footprint
18.1.10.5. Strategy Overview
18.1.10.5.1. Marketing Strategy
18.1.11. Sisense
18.1.11.1. Overview
18.1.11.2. Product Portfolio
18.1.11.3. Profitability by Market Segments
18.1.11.4. Sales Footprint
18.1.11.5. Strategy Overview
18.1.11.5.1. Marketing Strategy
18.1.12. Pyramid Analytics
18.1.12.1. Overview
18.1.12.2. Product Portfolio
18.1.12.3. Profitability by Market Segments
18.1.12.4. Sales Footprint
18.1.12.5. Strategy Overview
18.1.12.5.1. Marketing Strategy
18.1.13. Yellowfin
18.1.13.1. Overview
18.1.13.2. Product Portfolio
18.1.13.3. Profitability by Market Segments
18.1.13.4. Sales Footprint
18.1.13.5. Strategy Overview
18.1.13.5.1. Marketing Strategy
18.1.14. ThoughtSpot
18.1.14.1. Overview
18.1.14.2. Product Portfolio
18.1.14.3. Profitability by Market Segments
18.1.14.4. Sales Footprint
18.1.14.5. Strategy Overview
18.1.14.5.1. Marketing Strategy
18.1.15. Domo
18.1.15.1. Overview
18.1.15.2. Product Portfolio
18.1.15.3. Profitability by Market Segments
18.1.15.4. Sales Footprint
18.1.15.5. Strategy Overview
18.1.15.5.1. Marketing Strategy
19. Assumptions & Acronyms Used
20. Research Methodology
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