Financial Analytics Market Synopsis

Financial Analytics Market Size Was Valued at USD 9.71 Billion in 2023 and is Projected to Reach USD 26.07 Billion by 2032, Growing at a CAGR of 11.6% From 2024-2032.

Financial analytics therefore encompasses the use of data or mathematical modeling in arriving at decisions, particularly in financial markets, investment, and business operations. It incorporates a broad method and instrument that is used in the evaluation of past and future economic figures, examination of peril and identification of the most suitable investment method. In its essence, financial analytics encompasses a process that tries to acquire knowledge from raw financial data for decision-making, risk management, and optimization of profitability.

• In practice, financial analytics is an application of statistical analysis and other quantitative computational methods for interpretation of the information to make financial decisions. It requires numerous financial statements of the company including the revenues, expenditure, profits, and cash flows There are other factors derived from the market for instance; stock prices, interest rates, and gross domestic product among others. Through common techniques like regression, Monte Carlo analyses, or time series predictions, analysts can reveal trends, correlations, and patterns to strategise about portfolio management, asset distributing, and financial risk management.
• Moreover, financial analytics is one of the key enablers of implementation of strategies in any organization. This way, the hedonic price index helps executives, investors, and other financial professionals enlarge their understanding of market fluctuations, customers’ behaviors, or business effectiveness. This definition aligns business advantages of data analytics and reveals how they can help in improving the company’s financial situation, searching for new opportunities, and reacting to the alterations in the field. In the end, financial analytics is not only the efficient tool that can improve the managerial decision-making but can also contribute to the companies ‘ long-term success and the creation of their competitive advantages in the world economy.

Financial Analytics Market Trend Analysis

Increased focus on customer segmentation

• Evaluating the contemporary direction of the global financial analytics market, it is possible to state that the major shift in the recent years has been observed in the emphasis on customer segmentation. These changes are taking place following several dynamics that are redefining financial services however. Firstly, there are new technologies with a focus on artificial intelligence and machine learning which have enabled the financial institutions to harness and analyse a lot of data more precisely and faster as compared to the previous years. It enables them to define their clients into suitable and more effective categories by related parameters like demography, habits, and their spendings.
• More competition within the sector necessary to focus on individual buyers because of the great importance of the financial services industry. Through the latest and most effective means of analyzing customer segments, firms are in a better position to understand the specifics of the consumers. It helps them to adjust their products and services to conform to the needs of their consumer hence boosting their organization’s brand popularity and reliability.
• Besides, over the years, customers’ demands and regulatory framework also contributed greatly towards underpinning the necessity of customer segmentation significantly. There are a number of reasons why ISO 27001 may not always result in a reduction of risk levels; however, regulatory needs may call for further sophisticated measures to contain risks and compliance issues which can be managed by special approaches to customer segmentation. At the same time, customers demand more personalized and relevant communication with their financial service providers and therefore firms have to seek for analytics tools that will call them required.
• In conclusion, the shift to higher levels of customer segmentation in the financial analytics market is viewed as a strategic reaction to the technological changes, competition evolutions, and new regulations, together with customers’ expectations. Companies that can strategically utilize the results generated by advanced analytical tools to tailor its offers to the needs of their customers are likely to outcompete peers in the future, as options multiply in a growing market.

Fraud detection and prevention

• Fraud detection and prevention are particularly promising within the context of financial analytics market since it is a necessary means to avoid large-scale financial and non-financial losses, as well as maintain integrity and confidence in financial markets and services. The threat of fraudulent deportments has increased since the modern trade is global, and it happens in the computer-aided environment in seconds.
• Banks, insurance houses and all forms of financial institutions including the new entrant fintech companies rely on high-end analytical tools that help to identify outliers and shared characteristics of fraudulent actions. These analytics solutions use processors and application programming interfaces to extract real time value from significant heaps of ‘smaller’ transactional data using techniques such as algorithms, machine learning models and data mining. With the help of such algorithms as the one mentioned above, illustrating the number of transactions and their density, the system can recognize and point at fraud attempts based on unusual patterns like the number of transactions or their frequency, locations, or spending habits.
• Furthermore, the passion for governmental regulations in the financial analytics market stimulates the growth in fraud detection and prevention. Legal authorities set standard rules or regulations to the financial institutions, where it is mandatory for them to implement sound system for the purpose of fraud detection and prevention. Besides, it is important to note that this regulatory pressure not only stimulates the implementation of advanced analytics solutions in the industry but also fosters advancements in this sphere incessantly.
• When analyzing the financial crimes trends and their development, it is understableed that analytics platforms and tools need permanent improvement of the functions. As a result, there is an endless need for innovations to offer solutions for risk monitoring in processing large volumes of information, attack prediction, and self-learning to counter fraud arrangements.
• Besides, it is essential to understand that fraud also results in both tangible and less apparent, yet significant, losses that cover harm done to business reputation and customer trust in the company. Financial institutions that do not do it right may find themselves with long-term consequences concerning fraud risk as a market disadvantage.
•  Hence, investment in advanced financial analytics is not only a prudent and reactive measure to shield the institution against financial crime but also an active and preemptive measure to protect its reputation and customer bonds. By nature, the use of analytics to support fraud detection begins to assume even greater importance as technology advances and data volumes grow, representing a significant source of growth for providers in the financial analytics market.

Financial Analytics Market Segment Analysis:

Financial Analytics Market Segmented based on Displacement, Propulsion and Application.

By Deployment Type, Cloud is expected to dominate the market during the forecast period

• The global Financial Analytics Market has seen a growing trend in the use of cloud deployment models in the recent past. The adoption of cloud solutions surpasses traditional on-premise solutions due to the following reasons: One key factor is scalability: One of the primary advantages of cloud-based financial analytics platforms is the ability to scale resources up or down depending on the organization’s requirements which is especially useful when dealing with large amounts of data or users since it is more efficient than with on-premise solutions. This scalability is important in order to accommodate large amounts of financial data and perform various analyses with no limitation due to physical space.
• The costs are a major consideration that determines the uptake of cloud solutions. Another advantage of cloud based financial analytics is that unlike on-premise solutions, which often imply significant investments in hardware, software licenses, and maintenance, many cloud based platforms are available on subscription basis. This helps minimize the initial expenses required to implement the system and transfer the expenses to operational cost, which is more manageable in terms of budgeting for organizations. Moreover, the cloud solutions are frequently provided with automated updates and maintenance, which decrease the total cost of ownership in contrast to the on-premise solutions which require constant IT attention and investments in updates.
• Finally, flexibility and ease of access that cloud deployments offer are the main reasons for their popularity in financial analytics. Through cloud-based platforms, data and analytics services can be accessed from any location with Internet connection, which supports teamwork and decision-making in organizations with multiple offices and branches. This flexibility is particularly beneficial in the current era characterized by remote and global operations that are more common than before.
• Furthermore, cloud solutions often provide for built-in machine learning and AI analysis, allowing organizations to gain more comprehensive and actionable insights from their financial information. These all cumulatively lead to the increasing adoption of cloud based deployment in the financial analytics market thereby asserting dominance over the on-premise deployment.

By Applications, Analysis and Reporting segment held the largest share 

• When observing the positioning of the Financial Analytics Market, it is possible to identify the segment of Analysis and Reporting as the most prominent. Analysis and Reporting solutions are important as they help organizations make sense of their financial information. These solutions often feature a broad spectrum of capabilities such as data visualization, financial analysis, trend analysis, and performance reporting among others. They enable the financial analysts and decision-makers to quickly and easily analyze large data sets, identify significant trends, patterns, and outliers that are useful for decision making. The focus on real-time reporting and the use of interactive dashboards also increases decisional flexibility, helping stakeholders respond quickly to changes in the market or business environment.
• Analysis and Reporting solutions may also include sophisticated analytical elements such as predictive analytics and BI tools. Such functionalities help organizations not only look at past data but also predict the future occurrences and situations more effectively. With these capabilities, risks can be managed, resources efficiently utilized, and growth opportunities for a business identified before they arise. The need for powerful analysis and reporting tools is rising as the financial markets continue to evolve and regulations become more stringent, requiring the tools to be elaborate and provide detailed analysis while meeting all the requirements of the industry.
• However, Database Management and Planning solutions are still necessary to store and organize the financial data but are more often used as the basis for the financial analytics instead of being the main part of the strategies. These solutions assist in the management of data, integration of data, and storage of data, thus offering a secure framework for the effective management of large volumes of financial data. Nevertheless, Analysis and Reporting solutions are dominating the market and show the importance of converting the raw data into useful information for decision-making and gaining benefits in the context of constant changes in the financial analytics environment.

Financial Analytics Market Regional Insights:

Asia pacific is Expected to Dominate the Market Over the Forecast Period

• Higher growth rate is expected in the Asia Pacific region during the forecast period, as the growth of the market in the region is directly proportional to the growth of end user industries in the region which are growing at a faster pace. Moreover, with more advanced and cheaper technologies in place, organizations understand the demand for analytics skills, which positively affect the studied market.
• The current financial analytics trends in the Asia-pacific region are assisting the organizations to enhance their analytical proficiency and the maturity level of the organization thus moving from the primary or developing state where there are no strict guidelines, tools, and coordination to the advanced or leading state where there are integrated planning processes, real-time planning, and multi-dimensional planning.
• Furthermore, the increasing adoption of big data technology in the end-user industries in countries such as China is expected to boost the analytics services market in this region with the financial sector being prominent. Also, the market for financial analytics in India is relatively young but promising for rapid growth. Additionally, as the use of cloud in the region’s end user industries is slowly picking up, the demand for cloud analytics is also expected to rise. It is expected that with the growth in the market, the demand for analytics services will grow in the future as well.
• In addition, in recent years, the capabilities of analytics solutions have been expanded by incorporating the use of other technologies like AI. Businesses across the region are quickly adopting AI to automate more of the routine work in order to deliver the next generation of finance and accounting executives to their workforce with better tools. This will further enhance the market offerings and so the growth of the overall market will be boosted.
• Also, the market players of the region are aware of the growth opportunities and are making efforts to develop new products for the market. For example, in September 2022, Alibaba Cloud, as the digital technology and intellectual support of Alibaba Group, released a series of solutions called Alibaba Cloud for Financial Services. Comprising over 70 products, these solutions are designed to help financial services institutions of all sizes across banking, FinTech, insurance, and securities, digitalize their operations.

Active Key Players in the Financial Analytics Market

• Adaptive Insights (United States)
• Alteryx (United States)
• BOARD International (Switzerland)
• Cloudera (United States)
• Domo (United States)
• Fair Isaac Corporation (FICO) (United States)
• FICO (United States)
• GoodData (United States)
• IBM (United States)
• MathWorks (United States)
• MicroStrategy (United States)
• Oracle Corporation (United States)
• Qlik (United States)
• SAP (Germany)
• SAS Institute Inc. (United States)
• Sisense (United States)
• Tableau Software (United States)
• Teradata (United States)
• TIBCO Software (United States)
• Wolters Kluwer Financial Services (Netherlands), Other Active Players

Key Industry Development in the Financial Analytics Market:

• In December 2023, FICO launched an advanced analytics platform for banking in India. FICO has recently announced that its innovative cloud-based platform is now available in India. Early adopters of this breakthrough technology include well-known Indian banks such as HDFC Bank, Axis Bank, and AU Small Finance Bank.

• In March 2023 - Epicor acquired DSPanel, a global provider of cloud-based Financial Planning and Analysis (FP&A) solutions, and an existing Epicor ISV partner. The acquisition extends the company's portfolio of financial management solutions, helping makers, sellers, and movers worldwide streamline and simplify budgeting, forecasting, planning, scenario modelling, and financial reporting.

Chapter 1: Introduction
 1.1 Scope and Coverage

Chapter 2:Executive Summary

Chapter 3: Market Landscape
 3.1 Market Dynamics
  3.1.1 Drivers
  3.1.2 Restraints
  3.1.3 Opportunities
  3.1.4 Challenges
 3.2 Market Trend Analysis
 3.3 PESTLE Analysis
 3.4 Porter's Five Forces Analysis
 3.5 Industry Value Chain Analysis
 3.6 Ecosystem
 3.7 Regulatory Landscape
 3.8 Price Trend Analysis
 3.9 Patent Analysis
 3.10 Technology Evolution
 3.11 Investment Pockets
 3.12 Import-Export Analysis

Chapter 4: Financial Analytics Market by Deployment Type
 4.1 Financial Analytics Market Snapshot and Growth Engine
 4.2 Financial Analytics Market Overview
 4.3 On-premise
  4.3.1 Introduction and Market Overview
  4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.3.3 Key Market Trends, Growth Factors and Opportunities
  4.3.4 On-premise: Geographic Segmentation Analysis
 4.4 Cloud
  4.4.1 Introduction and Market Overview
  4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  4.4.3 Key Market Trends, Growth Factors and Opportunities
  4.4.4 Cloud: Geographic Segmentation Analysis

Chapter 5: Financial Analytics Market by Solution Type
 5.1 Financial Analytics Market Snapshot and Growth Engine
 5.2 Financial Analytics Market Overview
 5.3 Database Management & Planning
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Database Management & Planning: Geographic Segmentation Analysis
 5.4 Analysis
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Analysis: Geographic Segmentation Analysis
 5.5 Reporting
  5.5.1 Introduction and Market Overview
  5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.5.3 Key Market Trends, Growth Factors and Opportunities
  5.5.4 Reporting: Geographic Segmentation Analysis
 5.6 Other
  5.6.1 Introduction and Market Overview
  5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  5.6.3 Key Market Trends, Growth Factors and Opportunities
  5.6.4 Other: Geographic Segmentation Analysis

Chapter 6: Financial Analytics Market by End-user Verticals
 6.1 Financial Analytics Market Snapshot and Growth Engine
 6.2 Financial Analytics Market Overview
 6.3 BFSI
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 BFSI: Geographic Segmentation Analysis
 6.4 Healthcare
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Healthcare: Geographic Segmentation Analysis
 6.5 Manufacturing
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Manufacturing: Geographic Segmentation Analysis
 6.6 Government
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Government: Geographic Segmentation Analysis
 6.7 IT
  6.7.1 Introduction and Market Overview
  6.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.7.3 Key Market Trends, Growth Factors and Opportunities
  6.7.4 IT: Geographic Segmentation Analysis
 6.8 and Telecom
  6.8.1 Introduction and Market Overview
  6.8.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.8.3 Key Market Trends, Growth Factors and Opportunities
  6.8.4 and Telecom: Geographic Segmentation Analysis
 6.9 Other
  6.9.1 Introduction and Market Overview
  6.9.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
  6.9.3 Key Market Trends, Growth Factors and Opportunities
  6.9.4 Other: Geographic Segmentation Analysis

Chapter 7: Company Profiles and Competitive Analysis
 7.1 Competitive Landscape
  7.1.1 Competitive Benchmarking
  7.1.2 Financial Analytics Market Share by Manufacturer (2023)
  7.1.3 Industry BCG Matrix
  7.1.4 Heat Map Analysis
  7.1.5 Mergers and Acquisitions
  
 7.2 ADAPTIVE INSIGHTS (UNITED STATES)
  7.2.1 Company Overview
  7.2.2 Key Executives
  7.2.3 Company Snapshot
  7.2.4 Role of the Company in the Market
  7.2.5 Sustainability and Social Responsibility
  7.2.6 Operating Business Segments
  7.2.7 Product Portfolio
  7.2.8 Business Performance
  7.2.9 Key Strategic Moves and Recent Developments
  7.2.10 SWOT Analysis
 7.3 ALTERYX (UNITED STATES)
 7.4 BOARD INTERNATIONAL (SWITZERLAND)
 7.5 CLOUDERA (UNITED STATES)
 7.6 DOMO (UNITED STATES)
 7.7 FAIR ISAAC CORPORATION (FICO) (UNITED STATES)
 7.8 FICO (UNITED STATES)
 7.9 GOODDATA (UNITED STATES)
 7.10 IBM (UNITED STATES)
 7.11 MATHWORKS (UNITED STATES)
 7.12 MICROSTRATEGY (UNITED STATES)
 7.13 ORACLE CORPORATION (UNITED STATES)
 7.14 QLIK (UNITED STATES)
 7.15 SAP (GERMANY)
 7.16 SAS INSTITUTE INC (UNITED STATES)
 7.17 SISENSE (UNITED STATES)
 7.18 TABLEAU SOFTWARE (UNITED STATES)
 7.19 TERADATA (UNITED STATES)
 7.20 TIBCO SOFTWARE (UNITED STATES)
 7.21 WOLTERS KLUWER FINANCIAL SERVICES (NETHERLANDS)
 7.22 OTHER ACTIVE PLAYERS

Chapter 8: Global Financial Analytics Market By Region
 8.1 Overview
 8.2. North America Financial Analytics Market
  8.2.1 Key Market Trends, Growth Factors and Opportunities
  8.2.2 Top Key Companies
  8.2.3 Historic and Forecasted Market Size by Segments
  8.2.4 Historic and Forecasted Market Size By Deployment Type
   8.2.4.1 On-premise
   8.2.4.2 Cloud
  8.2.5 Historic and Forecasted Market Size By Solution Type
   8.2.5.1 Database Management & Planning
   8.2.5.2 Analysis
   8.2.5.3 Reporting
   8.2.5.4 Other
  8.2.6 Historic and Forecasted Market Size By End-user Verticals
   8.2.6.1 BFSI
   8.2.6.2 Healthcare
   8.2.6.3 Manufacturing
   8.2.6.4 Government
   8.2.6.5 IT
   8.2.6.6 and Telecom
   8.2.6.7 Other
  8.2.7 Historic and Forecast Market Size by Country
   8.2.7.1 US
   8.2.7.2 Canada
   8.2.7.3 Mexico
 8.3. Eastern Europe Financial Analytics Market
  8.3.1 Key Market Trends, Growth Factors and Opportunities
  8.3.2 Top Key Companies
  8.3.3 Historic and Forecasted Market Size by Segments
  8.3.4 Historic and Forecasted Market Size By Deployment Type
   8.3.4.1 On-premise
   8.3.4.2 Cloud
  8.3.5 Historic and Forecasted Market Size By Solution Type
   8.3.5.1 Database Management & Planning
   8.3.5.2 Analysis
   8.3.5.3 Reporting
   8.3.5.4 Other
  8.3.6 Historic and Forecasted Market Size By End-user Verticals
   8.3.6.1 BFSI
   8.3.6.2 Healthcare
   8.3.6.3 Manufacturing
   8.3.6.4 Government
   8.3.6.5 IT
   8.3.6.6 and Telecom
   8.3.6.7 Other
  8.3.7 Historic and Forecast Market Size by Country
   8.3.7.1 Bulgaria
   8.3.7.2 The Czech Republic
   8.3.7.3 Hungary
   8.3.7.4 Poland
   8.3.7.5 Romania
   8.3.7.6 Rest of Eastern Europe
 8.4. Western Europe Financial Analytics Market
  8.4.1 Key Market Trends, Growth Factors and Opportunities
  8.4.2 Top Key Companies
  8.4.3 Historic and Forecasted Market Size by Segments
  8.4.4 Historic and Forecasted Market Size By Deployment Type
   8.4.4.1 On-premise
   8.4.4.2 Cloud
  8.4.5 Historic and Forecasted Market Size By Solution Type
   8.4.5.1 Database Management & Planning
   8.4.5.2 Analysis
   8.4.5.3 Reporting
   8.4.5.4 Other
  8.4.6 Historic and Forecasted Market Size By End-user Verticals
   8.4.6.1 BFSI
   8.4.6.2 Healthcare
   8.4.6.3 Manufacturing
   8.4.6.4 Government
   8.4.6.5 IT
   8.4.6.6 and Telecom
   8.4.6.7 Other
  8.4.7 Historic and Forecast Market Size by Country
   8.4.7.1 Germany
   8.4.7.2 UK
   8.4.7.3 France
   8.4.7.4 Netherlands
   8.4.7.5 Italy
   8.4.7.6 Russia
   8.4.7.7 Spain
   8.4.7.8 Rest of Western Europe
 8.5. Asia Pacific Financial Analytics Market
  8.5.1 Key Market Trends, Growth Factors and Opportunities
  8.5.2 Top Key Companies
  8.5.3 Historic and Forecasted Market Size by Segments
  8.5.4 Historic and Forecasted Market Size By Deployment Type
   8.5.4.1 On-premise
   8.5.4.2 Cloud
  8.5.5 Historic and Forecasted Market Size By Solution Type
   8.5.5.1 Database Management & Planning
   8.5.5.2 Analysis
   8.5.5.3 Reporting
   8.5.5.4 Other
  8.5.6 Historic and Forecasted Market Size By End-user Verticals
   8.5.6.1 BFSI
   8.5.6.2 Healthcare
   8.5.6.3 Manufacturing
   8.5.6.4 Government
   8.5.6.5 IT
   8.5.6.6 and Telecom
   8.5.6.7 Other
  8.5.7 Historic and Forecast Market Size by Country
   8.5.7.1 China
   8.5.7.2 India
   8.5.7.3 Japan
   8.5.7.4 South Korea
   8.5.7.5 Malaysia
   8.5.7.6 Thailand
   8.5.7.7 Vietnam
   8.5.7.8 The Philippines
   8.5.7.9 Australia
   8.5.7.10 New Zealand
   8.5.7.11 Rest of APAC
 8.6. Middle East & Africa Financial Analytics Market
  8.6.1 Key Market Trends, Growth Factors and Opportunities
  8.6.2 Top Key Companies
  8.6.3 Historic and Forecasted Market Size by Segments
  8.6.4 Historic and Forecasted Market Size By Deployment Type
   8.6.4.1 On-premise
   8.6.4.2 Cloud
  8.6.5 Historic and Forecasted Market Size By Solution Type
   8.6.5.1 Database Management & Planning
   8.6.5.2 Analysis
   8.6.5.3 Reporting
   8.6.5.4 Other
  8.6.6 Historic and Forecasted Market Size By End-user Verticals
   8.6.6.1 BFSI
   8.6.6.2 Healthcare
   8.6.6.3 Manufacturing
   8.6.6.4 Government
   8.6.6.5 IT
   8.6.6.6 and Telecom
   8.6.6.7 Other
  8.6.7 Historic and Forecast Market Size by Country
   8.6.7.1 Turkey
   8.6.7.2 Bahrain
   8.6.7.3 Kuwait
   8.6.7.4 Saudi Arabia
   8.6.7.5 Qatar
   8.6.7.6 UAE
   8.6.7.7 Israel
   8.6.7.8 South Africa
 8.7. South America Financial Analytics Market
  8.7.1 Key Market Trends, Growth Factors and Opportunities
  8.7.2 Top Key Companies
  8.7.3 Historic and Forecasted Market Size by Segments
  8.7.4 Historic and Forecasted Market Size By Deployment Type
   8.7.4.1 On-premise
   8.7.4.2 Cloud
  8.7.5 Historic and Forecasted Market Size By Solution Type
   8.7.5.1 Database Management & Planning
   8.7.5.2 Analysis
   8.7.5.3 Reporting
   8.7.5.4 Other
  8.7.6 Historic and Forecasted Market Size By End-user Verticals
   8.7.6.1 BFSI
   8.7.6.2 Healthcare
   8.7.6.3 Manufacturing
   8.7.6.4 Government
   8.7.6.5 IT
   8.7.6.6 and Telecom
   8.7.6.7 Other
  8.7.7 Historic and Forecast Market Size by Country
   8.7.7.1 Brazil
   8.7.7.2 Argentina
   8.7.7.3 Rest of SA

Chapter 9 Analyst Viewpoint and Conclusion
9.1 Recommendations and Concluding Analysis
9.2 Potential Market Strategies

Chapter 10 Research Methodology
10.1 Research Process
10.2 Primary Research
10.3 Secondary Research