[250 Pages Report] Newly released Predictive Analytics Market analysis report by Future Market Insights shows that global sales of Predictive Analytics Market in 2021 was held at US$ 10.5 Billion. With 15.8% CAGR during 2022 to 2032, the market is likely to reach a valuation of US$ 55.5 Bn by 2032. Revenue through BFSI is projected to register the highest CAGR of 15.7% during 2022 to 2032.
| Attributes | Details |
|---|---|
| Global Predictive Analytics Market CAGR (2022 to 2032) | 15.8% |
| Global Predictive Analytics Market Size (2022) | US$ 12.8 Billion |
| Global Predictive Analytics Market Size (2032) | US$ 55.5 Billion |
| North America Predictive Analytics Market Size (2022) | US$ 5.1 Billion |
| U.S. Predictive Analytics Market CAGR (2022 to 2032) | 15.7% |
| Key Companies Covered |
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As per the Predictive Analytics Market research by Future Market Insights - a market research and competitive intelligence provider, historically, from 2015 to 2021, market value of the Predictive Analytics Market increased at around 27.9% CAGR.
The market is expanding due to an increase in awareness among companies about the huge volume of data created to anticipate future events utilizing predictive analytic solutions. Furthermore, the increased use of the internet, along with the availability of several ways to access the internet, has resulted in a rise in data creation.
As a result, exploiting this data to generate precise business plans and decisions improves revenue, creating demand for predictive analytics solutions.
The e-commerce sector has enhanced customers' usual purchase experiences. The most important aspects for increasing business sales are dedicated social media marketing and consumer perception analysis. Since linked gadgets are becoming more popular, businesses are focusing on real-time analysis of consumer purchasing behavior. Real-time analytics information may also be utilized to build personalized offers to boost client retention.
As big data becomes more prevalent, predictive analysis is projected to be applied in Finance and Human Resources. Factors such as a scarcity of experienced IT personnel and hefty implementation costs may constrict industry expansion.
Furthermore, data integrity provides a greater barrier in the application of predictive analytics technology in many end-user verticals, which is expected to increase slowly throughout the projected period. High time consumption, the demand for constant trial, and testing of the sophisticated algorithm are possible limitations impeding worldwide market expansion.
The increased use of smartphones has directly led to a tremendous rise in the volume of data generated. This figure is expected to rise further as high-speed internet services become more available and inexpensive in both urban and rural locations. Globalization, economic progress, and the availability of low-cost, easy-to-use smartphones are all factors promoting increased data output in countries.
The generation of data by corporate enterprises is likely to witness an exponential increase, owing to the ease of data capture. Companies these days have in-house teams of scientists and analysts that record and analyze both internal and external data obtained through surveys and other data gathering methods.
Venture finance businesses have also been extremely supportive of big data projects throughout the world. Another element driving the rise of business data is the digitization of transactions.
The increasing efficiency of data processing technology and solutions is a fundamental driver of predictive business analytics growth. Because of the rapid development of artificial intelligence and deep-learning algorithms, activities that formerly required extensive knowledge and expertise may now be accomplished with ease.
Analytical software is already widely available, ranging from simple statistical tools in spreadsheets to statistical software suites. As data volumes and analytical complexity grow at an exponential rate, in-database analytics solutions are becoming increasingly prevalent.
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The rising need to store, process, and analyze massive amounts of structured and unstructured data has pushed many businesses and individuals to adopt advanced and big data analytics, which is projected to drive market growth.
Many firms, like Alphabet and Meta, leverage big data to generate advertisement income by serving customized adverts to social media and web users. Furthermore, as a consequence of the vast amount of data created in numerous company verticals, big data investment will increase, supporting the growth of the predictive analytics market.
Because of the growth of the Internet of Things (IoT) trend, multimedia, which has produced a massive flow of data, the amount of data obtained by organizations is constantly increasing.
North America is the most lucrative region with a double-digit projected growth and predictive analytics market share of approximately 47%. Because of the region's strong investment in big data analytics and early deployment of current technologies such as IoT and AI in predictive analytics.
The need to study client behavior and purchase patterns, estimate budget requirements, and develop efficient marketing campaigns by examining historical trends are the primary driving drivers in the North American predictive analytics industry. Increased digitization will boost the adoption of Predictive Analytics software and services in North America over the projected period.
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The market in the US is expected to account for the largest revenue of US$ 19.3 Bn by 2032. This is due to the growing technology improvements as well as the strong foothold of key firms such as Microsoft and Oracle across the United States.
For instance, the Orlando Magic of the NBA uses SAS predictive analytics to increase revenue and establish starting line-ups. The Orlando Magic organization's business users get fast access to information. The Magic can now visually examine the most recent statistics, down to the game and seat level. Furthermore, increased awareness of the value of predictive analytics solutions in corporate operations is likely to boost market expansion in this area.
Revenue through BFSI segment is forecasted to grow at the highest CAGR of over 15.7% during 2022-2032. The variables that may be associated with higher adoption of advanced financial analytics solutions by large BFSI organizations because of enhanced regulatory compliance processes.
As the global regulatory environment has become more complex, demand for predictive analytics solutions in the BFSI business has increased. As a result of regulatory requirements, credit risk management, capital planning, and insurance risk management, among other things, are becoming increasingly important.
Using predictive analytics solutions allows BFSI organizations to embark on a digital transformation journey. It improves the customer experience and helps businesses deal with changing customer behavior.
From the perspective of a financial institution, when a loan is made, there is always a high level of risk involved. As a result, a bank's ability to accurately predict the risk of default is critical. Predictive analytics models are being used by banks to enhance loan approval and collection procedures. This enables companies to assess applicants' repayment ability, analyze patterns in earlier loans, and do other things.
With digital payment systems, wallets, cryptocurrencies, mobile banking, and other possibilities, the frequency of financial scams and counterfeit transactions has increased along with customer delight and ease of banking. To be more specific, between 2020 and 2021, India recorded 229 financial frauds (worth up to US$ 18 Bn). The more concerning fact is that less than 1% of the total has only been retrieved.
The Solutions segment is forecasted to grow at the highest CAGR of over 15.4% during 2022-2032. The factors that can be linked to the widespread usage of numerous risk analytics systems for forecasting future dangers and devising risk mitigation strategies.
Since they focus on risk management and what-if scenarios, predictive analytics solutions are a reliable form of forecasting. Furthermore, it allows businesses to adapt to industry trends and grow on the run.
In business, predictive analytics solutions assess previous and current data to better understand items, customers, and partners, as well as identify potential opportunities and risks. As a result, purchasing patterns are analyzed and relevant insights are supplied, supporting businesses in adding more value to their offerings and assuring a better buying experience for customers.
Among the leading players in the global Predictive Analytics market are Microsoft, IBM, SAP, Oracle, SAS Institute. To gain a competitive advantage in the industry, these market players are investing in product launches, partnerships, mergers and acquisitions, and expansions.
Due to the growing demand for the product around the world, many new companies are expected to enter the market. This is expected to increase competition on a worldwide scale. Additionally, global predictive analytics market growth is expected to be fuelled by collaborations among current players to improve quality throughout the research period.
Over the projection period, established market players are expected to diversify their portfolios and offer one-stop solutions to combat fierce competition.
Similarly, recent developments related to companies in Predictive Analytics services have been tracked by the team at Future Market Insights, which are available in the full report.
| Attributes | Details |
|---|---|
| Forecast Period | 2022 to 2032 |
| Historical Data Available for | 2015 to 2021 |
| Market Analysis | US$ Million for Value |
| Key Regions Covered | North America, Europe, Asia Pacific, Middle East & Africa, Latin America |
| Key Countries Covered | United States, Canada, Brazil, Mexico, Germany, France, UK, Spain, Italy, China, South Korea, Japan, Saudi Arabia, South Africa |
| Key Market Segments Covered | Component, Deployment Mode, Organization Size, Vertical, Region |
| Key Companies Profiled |
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| Pricing | Available upon Request |
The global Predictive Analytics Market is worth more than US$ 10.5 Bn at present.
Value of Predictive Analytics Market are projected to increase at a CAGR of around 15.8% during 2022 – 2032.
Value of Predictive Analytics Market increased at a CAGR of around 27.9% during 2015 – 2021.
The rise in artificial intelligence, data analytics, data fabrication, big data, data democratization, edge computing, etc. are driving the growth of the Predictive Analytics Market.
The market for Predictive Analytics Market in US is projected to expand at a CAGR of around 15.7% during 2022 – 2032.
1. Executive Summary 1.1. Global Market Outlook 1.2. Summary of Statistics 1.3. Key Market Characteristics & Attributes 1.4. Analysis and Recommendations 2. Market Overview 2.1. Market Coverage 2.2. Market Definition 3. Market Risks and Trends Assessment 3.1. Risk Assessment 3.1.1. COVID-19 Crisis and Impact on Demand 3.1.2. COVID-19 Impact Benchmark with Previous Crisis 3.1.3. Impact on Market Value (US$ Mn) 3.1.4. Assessment by Key Countries 3.1.5. Assessment by Key Market Segments 3.1.6. Action Points and Recommendation for Suppliers 3.2. Key Trends Impacting the Market 3.3. Formulation and Product Development Trends 4. Market Background 4.1. Market, by Key Countries 4.2. Market Opportunity Assessment (US$ Mn) 4.2.1. Total Available Market 4.2.2. Serviceable Addressable Market 4.2.3. Serviceable Obtainable Market 4.3. Market Scenario Forecast 4.3.1. Demand in optimistic Scenario 4.3.2. Demand in Likely Scenario 4.3.3. Demand in Conservative Scenario 4.4. Investment Feasibility Analysis 4.4.1. Investment in Established Markets 4.4.1.1. In Short Term 4.4.1.2. In Long Term 4.4.2. Investment in Emerging Markets 4.4.2.1. In Short Term 4.4.2.2. In Long Term 4.5. Forecast Factors - Relevance & Impact 4.5.1. Top Companies Historical Growth 4.5.2. Growth in Automation, By Country 4.5.3. Adoption Rate, By Country 4.6. Market Dynamics 4.6.1. Market Driving Factors and Impact Assessment 4.6.2. Prominent Market Challenges and Impact Assessment 4.6.3. Market Opportunities 4.6.4. Prominent Trends in the Global Market & Their Impact Assessment 5. Key Success Factors 5.1. Manufacturers’ Focus on Low Penetration High Growth Markets 5.2. Banking on with Segments High Incremental Opportunity 5.3. Peer Benchmarking 6. Global Market Demand Analysis 2015-2021 and Forecast, 2022-2032 6.1. Historical Market Analysis, 2015-2021 6.2. Current and Future Market Projections, 2022-2032 6.3. Y-o-Y Growth Trend Analysis 7. Global Market Value Analysis 2015-2021 and Forecast, 2022-2032 7.1. Historical Market Value (US$ Mn) Analysis, 2015-2021 7.2. Current and Future Market Value (US$ Mn) Projections, 2022-2032 7.2.1. Y-o-Y Growth Trend Analysis 7.2.2. Absolute $ Opportunity Analysis 8. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Component 8.1. Introduction / Key Findings 8.2. Historical Market Size (US$ Mn) Analysis By Component, 2015-2021 8.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Component, 2022-2032 8.3.1. Solutions 8.3.1.1. Financial Analytics 8.3.1.2. Risk Analytics 8.3.1.3. Marketing Analytics 8.3.1.4. Sales Analytics 8.3.1.5. Customer Analytics 8.3.1.6. Web and Social Media Analytics 8.3.1.7. Supply Chain Analytics 8.3.1.8. Network Analytics 8.3.2. Services 8.3.2.1. Professional Services 8.3.2.1.1. Consulting 8.3.2.1.2. Deployment and Integration 8.3.2.1.3. Support and Maintenance 8.3.2.2. Support and Maintenance 8.4. Market Attractiveness Analysis By Component 9. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Vertical 9.1. Introduction / Key Findings 9.2. Historical Market Size (US$ Mn) Analysis By Vertical, 2015-2021 9.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Vertical, 2022-2032 9.3.1. BFSI 9.3.2. Manufacturing 9.3.3. Retail and eCommerce 9.3.4. Government and Defense 9.3.5. Healthcare and Life Sciences 9.3.6. Energy and Utilities 9.3.7. Telecommunications and IT 9.3.8. Transportation and Logistics 9.3.9. Media and Entertainment 9.3.10. Travel and Hospitality 9.3.11. Others 9.4. Market Attractiveness Analysis By Vertical 10. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Deployment Mode 10.1. Introduction / Key Findings 10.2. Historical Market Size (US$ Mn) Analysis By Deployment Mode, 2015-2021 10.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Deployment Mode, 2022-2032 10.3.1. Cloud 10.3.2. On-premises 10.4. Market Attractiveness Analysis By Deployment Mode 11. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Organization Size 11.1. Introduction / Key Findings 11.2. Historical Market Size (US$ Mn) Analysis By Organization Size, 2015-2021 11.3. Current and Future Market Size (US$ Mn) Analysis and Forecast By Organization Size, 2022-2032 11.3.1. Large Enterprises 11.3.2. Small and Medium-sized Enterprises (SMEs) 11.4. Market Attractiveness Analysis By Organization Size 12. Global Market Analysis 2015-2021 and Forecast 2022-2032, By Region 12.1. Introduction 12.2. Historical Market Size (US$ Mn) Analysis By Region, 2015-2021 12.3. Current Market Size (US$ Mn) & Analysis and Forecast By Region, 2022-2032 12.3.1. North America 12.3.2. Latin America 12.3.3. Europe 12.3.4. Asia Pacific 12.3.5. Middle East and Africa (MEA) 12.4. Market Attractiveness Analysis By Region 13. North America Market Analysis 2015-2021 and Forecast 2022-2032 13.1. Introduction 13.2. Pricing Analysis 13.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 13.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 13.4.1. By Country 13.4.1.1. U.S. 13.4.1.2. Canada 13.4.1.3. Rest of North America 13.4.2. By Component 13.4.3. By Vertical 13.4.4. By Organization Size 13.4.5. By Deployment Mode 13.5. Market Attractiveness Analysis 13.5.1. By Country 13.5.2. By Component 13.5.3. By Vertical 13.5.4. By Organization Size 13.5.5. By Deployment Mode 14. Latin America Market Analysis 2015-2021 and Forecast 2022-2032 14.1. Introduction 14.2. Pricing Analysis 14.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 14.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 14.4.1. By Country 14.4.1.1. Brazil 14.4.1.2. Mexico 14.4.1.3. Rest of Latin America 14.4.2. By Component 14.4.3. By Vertical 14.4.4. By Organization Size 14.4.5. By Deployment Mode 14.5. Market Attractiveness Analysis 14.5.1. By Country 14.5.2. By Component 14.5.3. By Vertical 14.5.4. By Organization Size 14.5.5. By Deployment Mode 15. Europe Market Analysis 2015-2021 and Forecast 2022-2032 15.1. Introduction 15.2. Pricing Analysis 15.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 15.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 15.4.1. By Country 15.4.1.1. Germany 15.4.1.2. France 15.4.1.3. U.K. 15.4.1.4. Italy 15.4.1.5. Benelux 15.4.1.6. Nordic Countries 15.4.1.7. Rest of Europe 15.4.2. By Component 15.4.3. By Vertical 15.4.4. By Organization Size 15.4.5. By Deployment Mode 15.5. Market Attractiveness Analysis 15.5.1. By Country 15.5.2. By Component 15.5.3. By Vertical 15.5.4. By Organization Size 15.5.5. By Deployment Mode 16. Asia Pacific Market Analysis 2015-2021 and Forecast 2022-2032 16.1. Introduction 16.2. Pricing Analysis 16.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 16.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 16.4.1. By Country 16.4.1.1. China 16.4.1.2. Japan 16.4.1.3. South Korea 16.4.1.4. Rest of Asia Pacific 16.4.2. By Component 16.4.3. By Vertical 16.4.4. By Organization Size 16.4.5. By Deployment Mode 16.5. Market Attractiveness Analysis 16.5.1. By Country 16.5.2. By Component 16.5.3. By Vertical 16.5.4. By Organization Size 16.5.5. By Deployment Mode 17. Middle East and Africa Market Analysis 2015-2021 and Forecast 2022-2032 17.1. Introduction 17.2. Pricing Analysis 17.3. Historical Market Value (US$ Mn) Trend Analysis By Market Taxonomy, 2015-2021 17.4. Market Value (US$ Mn) & Forecast By Market Taxonomy, 2022-2032 17.4.1. By Country 17.4.1.1. GCC Countries 17.4.1.2. South Africa 17.4.1.3. Turkey 17.4.1.4. Rest of Middle East and Africa 17.4.2. By Component 17.4.3. By Vertical 17.4.4. By Organization Size 17.4.5. By Deployment Mode 17.5. Market Attractiveness Analysis 17.5.1. By Country 17.5.2. By Component 17.5.3. By Vertical 17.5.4. By Organization Size 17.5.5. By Deployment Mode 18. Key Countries Market Analysis 2015-2021 and Forecast 2022-2032 18.1. Introduction 18.1.1. Market Value Proportion Analysis, By Key Countries 18.1.2. Global Vs. Country Growth Comparison 18.2. US Market Analysis 18.2.1. Value Proportion Analysis by Market Taxonomy 18.2.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.2.2.1. By Component 18.2.2.2. By Vertical 18.2.2.3. By Organization Size 18.2.2.4. By Deployment Mode 18.3. Canada Market Analysis 18.3.1. Value Proportion Analysis by Market Taxonomy 18.3.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.3.2.1. By Component 18.3.2.2. By Vertical 18.3.2.3. By Organization Size 18.3.2.4. By Deployment Mode 18.4. Mexico Market Analysis 18.4.1. Value Proportion Analysis by Market Taxonomy 18.4.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.4.2.1. By Component 18.4.2.2. By Vertical 18.4.2.3. By Organization Size 18.4.2.4. By Deployment Mode 18.5. Brazil Market Analysis 18.5.1. Value Proportion Analysis by Market Taxonomy 18.5.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.5.2.1. By Component 18.5.2.2. By Vertical 18.5.2.3. By Organization Size 18.5.2.4. By Deployment Mode 18.6. Germany Market Analysis 18.6.1. Value Proportion Analysis by Market Taxonomy 18.6.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.6.2.1. By Component 18.6.2.2. By Vertical 18.6.2.3. By Organization Size 18.6.2.4. By Deployment Mode 18.7. France Market Analysis 18.7.1. Value Proportion Analysis by Market Taxonomy 18.7.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.7.2.1. By Component 18.7.2.2. By Vertical 18.7.2.3. By Organization Size 18.7.2.4. By Deployment Mode 18.8. Italy Market Analysis 18.8.1. Value Proportion Analysis by Market Taxonomy 18.8.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.8.2.1. By Component 18.8.2.2. By Vertical 18.8.2.3. By Organization Size 18.8.2.4. By Deployment Mode 18.9. BENELUX Market Analysis 18.9.1. Value Proportion Analysis by Market Taxonomy 18.9.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.9.2.1. By Component 18.9.2.2. By Vertical 18.9.2.3. By Organization Size 18.9.2.4. By Deployment Mode 18.10. UK Market Analysis 18.10.1. Value Proportion Analysis by Market Taxonomy 18.10.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.10.2.1. By Component 18.10.2.2. By Vertical 18.10.2.3. By Organization Size 18.10.2.4. By Deployment Mode 18.11. Nordic Countries Market Analysis 18.11.1. Value Proportion Analysis by Market Taxonomy 18.11.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.11.2.1. By Component 18.11.2.2. By Vertical 18.11.2.3. By Organization Size 18.11.2.4. By Deployment Mode 18.12. China Market Analysis 18.12.1. Value Proportion Analysis by Market Taxonomy 18.12.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.12.2.1. By Component 18.12.2.2. By Vertical 18.12.2.3. By Organization Size 18.12.2.4. By Deployment Mode 18.13. Japan Market Analysis 18.13.1. Value Proportion Analysis by Market Taxonomy 18.13.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.13.2.1. By Component 18.13.2.2. By Vertical 18.13.2.3. By Organization Size 18.13.2.4. By Deployment Mode 18.14. South Korea Market Analysis 18.14.1. Value Proportion Analysis by Market Taxonomy 18.14.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.14.2.1. By Component 18.14.2.2. By Vertical 18.14.2.3. By Organization Size 18.14.2.4. By Deployment Mode 18.15. GCC Countries Market Analysis 18.15.1. Value Proportion Analysis by Market Taxonomy 18.15.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.15.2.1. By Component 18.15.2.2. By Vertical 18.15.2.3. By Organization Size 18.15.2.4. By Deployment Mode 18.16. South Africa Market Analysis 18.16.1. Value Proportion Analysis by Market Taxonomy 18.16.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.16.2.1. By Component 18.16.2.2. By Vertical 18.16.2.3. By Organization Size 18.16.2.4. By Deployment Mode 18.17. Turkey Market Analysis 18.17.1. Value Proportion Analysis by Market Taxonomy 18.17.2. Value Analysis and Forecast by Market Taxonomy, 2015-2032 18.17.2.1. By Component 18.17.2.2. By Vertical 18.17.2.3. By Organization Size 18.17.2.4. By Deployment Mode 18.17.3. Competition Landscape and Player Concentration in the Country 19. Market Structure Analysis 19.1. Market Analysis by Tier of Companies 19.2. Market Concentration 19.3. Market Share Analysis of Top Players 19.4. Market Presence Analysis 19.4.1. By Regional footprint of Players 19.4.2. Product footprint by Players 20. Competition Analysis 20.1. Competition Dashboard 20.2. Competition Benchmarking 20.3. Competition Deep Dive 20.3.1. Microsoft 20.3.1.1. Overview 20.3.1.2. Product Portfolio 20.3.1.3. Sales Footprint 20.3.1.4. Strategy Overview 20.3.2. IBM 20.3.2.1. Overview 20.3.2.2. Product Portfolio 20.3.2.3. Sales Footprint 20.3.2.4. Strategy Overview 20.3.3. SAP 20.3.3.1. Overview 20.3.3.2. Product Portfolio 20.3.3.3. Sales Footprint 20.3.3.4. Strategy Overview 20.3.4. Oracle 20.3.4.1. Overview 20.3.4.2. Product Portfolio 20.3.4.3. Sales Footprint 20.3.4.4. Strategy Overview 20.3.5. SAS Institute 20.3.5.1. Overview 20.3.5.2. Product Portfolio 20.3.5.3. Sales Footprint 20.3.5.4. Strategy Overview 20.3.6. Google 20.3.6.1. Overview 20.3.6.2. Product Portfolio 20.3.6.3. Sales Footprint 20.3.6.4. Strategy Overview 20.3.7. Salesforce 20.3.7.1. Overview 20.3.7.2. Product Portfolio 20.3.7.3. Sales Footprint 20.3.7.4. Strategy Overview 20.3.8. AWS 20.3.8.1. Overview 20.3.8.2. Product Portfolio 20.3.8.3. Sales Footprint 20.3.8.4. Strategy Overview 20.3.9. HPE 20.3.9.1. Overview 20.3.9.2. Product Portfolio 20.3.9.3. Sales Footprint 20.3.9.4. Strategy Overview 20.3.10. Teradata 20.3.10.1. Overview 20.3.10.2. Product Portfolio 20.3.10.3. Sales Footprint 20.3.10.4. Strategy Overview 21. Assumptions and Acronyms Used 22. Research Methodology
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Predictive Analytics Market
