Global Data Science and Predictive Analytics Market Overview

The Global Data Science and Predictive Analytics Market size is expected to grow from USD 16.41 billion in 2023 to USD 83.98 billion by 2032, at a CAGR of 19.89% during the forecast period (2024-2032).

Data science allows applying advanced analytics techniques and scientific principles to get critical information from data for various business activities like decision-making, strategic planning, and others. Predictive analytics is a branch of data analytics and an essential part of data science that help to predict future outcomes by using historical data combined with statistical modelling, machine learning, and data mining techniques. Most companies use these techniques to predict future opportunities by finding patterns in this data. Data analytics is also used to identify risks in the business. It is the last stage of analysis in data science which gives a direct result based on historical data. A massive amount of data generate continuously in the organization or enterprises, which helps decide the future activities for several organizations that drive the market for data science and predictive analytics.

Market Dynamics And Factors For Data Science and Predictive Analytics Market

Drivers:

Adoption of Big Data technology    

The data science and predictive analytics market are largely expanding due to its ability to provide predictive results by adopting new technologies like big data technology. The data captured by the organization has a very high volume and it is continuously increasing. Organizations are now aware of the analytics techniques so they are using this data to forecast the future which helps to expand the market of data science and predictive analytics.  Additionally, an increasing requirement for collection, process, and analyse large volumes of data for both type of data structured and unstructured creating need of predictive analytics which is driving the growth of market. Moreover, predictive analytics is used in various industry verticals such as health care, the banking sector, retail, and others. As a result, extensive use and application of big data are fuelling the growth of the market during the projected period.

Restraints:

The Accuracy Depend on The Data Being Used as Reference

Data science and predictive analytics are used to predict future trends. Software carried out the result through the complex and large volume of data. This technology uses historic data to provide futuristic results. The results depend on the calculated based on existing data and the accuracy is depending on the accuracy of the data being used as a reference. The analytical algorithms build models based on the available data, and deficiencies in the data lead to deficiencies in the model this uncertainty and dependence may hamper the growth of the data science and predictive analytics market during the projected period.

Opportunities:

Penetration of AI and IoT technology

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act pre-emptively. AI in predictive analytics is very productive it takes the existing data and unlocks immense value from that data. AI-powered analytics help to get leads of potential customers, and predict what target audiences want to buy or consume. This advancement and adoption of modern technology fuel the growth of the market. Additionally, IoT is giving opportunities for collecting numerous data for any industry. Social media, and multimedia, produced a lot of data and for the analysis of this massive data; companies are using data science and predictive analytics and tools to generate better futuristic results. As a result, AI and IoT are providing growth opportunities for the data science and predictive analytics market.

Segmentation Analysis Of Data Science and Predictive Analytics Market

By Type, the solution segment dominates the market growth of the data science and predictive analytics market over the forecast period. The solution is vast segment in the data science and predictive analytics market. Customer analytics, network analytics, risk analytics, financial analytics, marketing, supply chain analytics, web and social media analytics, and others. This technology provides analytical solutions for this entire category. These solutions are created from an existing source of data by analysing that data customer gets a definite number to proceed further.

By Industry Vertical, the BFSI segment Arabica beans anticipated the highest growth in the data science and predictive analytics market during the forecasted period. The banking, Financial Services, and Insurance sector (BFSI) uses these models to develop customized insurance plans and premium amounts based on individual assessments such as driving records, medical history, credit scores, weightage of documents submitted, and more. Additionally, this system gives better customer management opportunities for the firm. Such as New loyalty programs, and incentives, which study the pattern of customer churns. The advanced service requirement need for high customer services and huge customer data propel the growth of the data science and predictive analytics market.

By Firm Size, the large firm size segment is expected to dominate the data science and predictive analytics market share during the forecast period. The large size farms generate an adequate amount of data and to store, process, and analysis of that data firms require help of analytical tools and the data science techniques. This tool improves statistical analytics which allows the firm to take realistic, accurate, and effective decisions. For instance, large firms like Flipkart and Netflix use predictive analytics for calculating marketing strategies to target customers and deliver a better user experience. Flipkart, Amazon, and Mayntra use past purchases and the browsing history of customers to recommend products to the customer according to their choices.

Regional Analysis Of Data Science and Predictive Analytics Market

North America is dominating region for data science and predictive analytics market during the projected period. The adoption of predictive analytics solutions is increasing and expected highest rate in North America, as compared to the other regions. This main factor impacted on the increasing rate adoption is due to the presence of various developed countries in this region, such as Canada and the US. It is developed, technically advanced, and economically strong region. Due to this the adoption of advanced technology is high, which helps in the expansion of market in North America region. Additionally, innovations in new emerging technology and R&D carrier out by solution providing companies in this region is boosting the market for data science and predictive analytics during the projected period.

The Europe region is the fast-growing region for data science and predictive analytics market during the forecasted period. The presence of prominent key players and the high adoption rate of data science and predictive analytics solutions is the key factor affecting the market growth in this region. Moreover, the healthcare and life-science sector is booming in this region due to the strongest infrastructure, economy and increasing research and development. This Healthcare and life-science sector is generating high volume of data. Massive volumes of information is created by the adoption of digital technologies such as big data, predictive analytics that collect, process patients' records and help in maintaining hospital performance, it is very hard to handle large and complex data for traditional technologies. So the adoption of this advanced technology is high in this region which supports the growth of data science and predictive analytics market during the projected period.

Asia pacific region is experiencing a significant growth rate for the data science and predictive analytics market during the forecasted period. Retail sector is in high demand in this developing region. This region contains most populated countries like India, China, and Japan. The population is shows the larger consumer base for retail industry. Additionally, for the retail industry, data science and predictive analytics gives greater understanding of consumer shopping habits and help to attract new customers. This system use purchase history, to create customer recommendations, which resulting in personalized shopping experiences for each individual and improves customer service.

Middle East and Africa region is expected to reach is promising growth over the forecast period for the data science and predictive analytics market. Digitalization in this region is growing in recent years, results in the adaption of software in various sectors. For instance, predictive retail analytics is used by retailers and company heads. Software use historic data to generate futuristic insights. By using predictive retail analytics they can predict potential sales in the next year, quarter, or the very next day. Companies are able to forecast trends, predict customer behaviour to increase the market share. This highly effective and advancement in technology is giving boost to the data science and predictive analytics market during the analysis period in this region.Top Key Players Covered In Data Science and Predictive Analytics Market

• IBM (US)
• MICROSOFT (US)
• ORACLE(US)
• SAP (GERMANY)
• SAS INSTITUTE (US)
• GOOGLE (US)
• SALESFORCE (US)
• AWS (US)
• HPE (US)
• TERADATA (US)
• ALTERYX (US)
• FICO (US)
• ALTAIR (US)
• DOMO (US)
• CLOUDERA (US)
• BOARD INTERNATIONAL (SWITZERLAND)
• TIBCO SOFTWARE (US)
• HITACHI VANTARA (US)
• QLIK (US)
• HAPPIEST MINDS (INDIA)
• DATAIKU (US)
• RAPIDMINER (US)
• BIOFOURMIS (US)
• IN-MED PROGNOSTICS (INDIA)
• AITO.AI (FINLAND)
• SYMEND (US)
• ONWARD HEALTH (INDIA)
• UNIONCRATE (US)
• CYBERLABS (BRAZIL)
• ACTIFY DATA LABS (INDIA)
• AMLGO LABS (INDIA)
• VERIMOS (US) AND OTHER MAJOR PLAYERS.

Key Industry Development in The Data Science and Predictive Analytics Market

• In May 2023, Microsoft announced that Microsoft Fabric is an end-to-end, unified analytics platform that combines all the data and analytics tools organizations need. Fabric integrates technologies like Azure Data Factory, Azure Synapse Analytics, and Power BI into a single unified product, empowering data and business professionals alike to unlock the potential of their data and lay the foundation for the era of AI.
• In March 2023, SAP and DataRobot announced a joint partnership to enable customers to connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Chapter 1: Introduction
 1.1 Research Objectives
 1.2 Research Methodology
 1.3 Research Process
 1.4 Scope and Coverage
  1.4.1 Market Definition
  1.4.2 Key Questions Answered
 1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
 3.1 By Type
 3.2 By Industry Vertical
 3.3 By Firm Size

Chapter 4: Market Landscape
 4.1 Porter's Five Forces Analysis
  4.1.1 Bargaining Power of Supplier
  4.1.2 Threat of New Entrants
  4.1.3 Threat of Substitutes
  4.1.4 Competitive Rivalry
  4.1.5 Bargaining Power Among Buyers
 4.2 Industry Value Chain Analysis
 4.3 Market Dynamics
  4.3.1 Drivers
  4.3.2 Restraints
  4.3.3 Opportunities
  4.5.4 Challenges
 4.4 Pestle Analysis
 4.5 Technological Roadmap
 4.6 Regulatory Landscape
 4.7 SWOT Analysis
 4.8 Price Trend Analysis
 4.9 Patent Analysis
 4.10 Analysis of the Impact of Covid-19
  4.10.1 Impact on the Overall Market
  4.10.2 Impact on the Supply Chain
  4.10.3 Impact on the Key Manufacturers
  4.10.4 Impact on the Pricing

Chapter 5: Data Science and Predictive Analytics Market by Type
 5.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
 5.2 Data Science and Predictive Analytics Market Overview
 5.3 Solution
  5.3.1 Introduction and Market Overview
  5.3.2 Historic and Forecasted Market Size (2016-2028F)
  5.3.3 Key Market Trends, Growth Factors and Opportunities
  5.3.4 Solution: Grographic Segmentation
 5.4 Services
  5.4.1 Introduction and Market Overview
  5.4.2 Historic and Forecasted Market Size (2016-2028F)
  5.4.3 Key Market Trends, Growth Factors and Opportunities
  5.4.4 Services: Grographic Segmentation

Chapter 6: Data Science and Predictive Analytics Market by Industry Vertical
 6.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
 6.2 Data Science and Predictive Analytics Market Overview
 6.3 BFSI
  6.3.1 Introduction and Market Overview
  6.3.2 Historic and Forecasted Market Size (2016-2028F)
  6.3.3 Key Market Trends, Growth Factors and Opportunities
  6.3.4 BFSI: Grographic Segmentation
 6.4 Healthcare
  6.4.1 Introduction and Market Overview
  6.4.2 Historic and Forecasted Market Size (2016-2028F)
  6.4.3 Key Market Trends, Growth Factors and Opportunities
  6.4.4 Healthcare: Grographic Segmentation
 6.5 Telecommunications and IT
  6.5.1 Introduction and Market Overview
  6.5.2 Historic and Forecasted Market Size (2016-2028F)
  6.5.3 Key Market Trends, Growth Factors and Opportunities
  6.5.4 Telecommunications and IT: Grographic Segmentation
 6.6 Others
  6.6.1 Introduction and Market Overview
  6.6.2 Historic and Forecasted Market Size (2016-2028F)
  6.6.3 Key Market Trends, Growth Factors and Opportunities
  6.6.4 Others: Grographic Segmentation

Chapter 7: Data Science and Predictive Analytics Market by Firm Size
 7.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
 7.2 Data Science and Predictive Analytics Market Overview
 7.3 Large
  7.3.1 Introduction and Market Overview
  7.3.2 Historic and Forecasted Market Size (2016-2028F)
  7.3.3 Key Market Trends, Growth Factors and Opportunities
  7.3.4 Large: Grographic Segmentation
 7.4 Small
  7.4.1 Introduction and Market Overview
  7.4.2 Historic and Forecasted Market Size (2016-2028F)
  7.4.3 Key Market Trends, Growth Factors and Opportunities
  7.4.4 Small: Grographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
 8.1 Competitive Landscape
  8.1.1 Competitive Positioning
  8.1.2 Data Science and Predictive Analytics Sales and Market Share By Players
  8.1.3 Industry BCG Matrix
  8.1.4 Ansoff Matrix
  8.1.5 Data Science and Predictive Analytics Industry Concentration Ratio (CR5 and HHI)
  8.1.6 Top 5 Data Science and Predictive Analytics Players Market Share
  8.1.7 Mergers and Acquisitions
  8.1.8 Business Strategies By Top Players
 8.2 IBM
  8.2.1 Company Overview
  8.2.2 Key Executives
  8.2.3 Company Snapshot
  8.2.4 Operating Business Segments
  8.2.5 Product Portfolio
  8.2.6 Business Performance
  8.2.7 Key Strategic Moves and Recent Developments
  8.2.8 SWOT Analysis
 8.3 MICROSOFT
 8.4 ORACLE
 8.5 SAP
 8.6 SAS INSTITUTE
 8.7 GOOGLE
 8.8 SALESFORCE
 8.9 AWS
 8.10 HPE
 8.11 TERADATA
 8.12 ALTERYX
 8.13 FICO
 8.14 ALTAIR
 8.15 DOMO
 8.16 CLOUDERA
 8.17 BOARD INTERNATIONAL
 8.18 TIBCO SOFTWARE
 8.19 HITACHI VANTARA
 8.20 QLIK
 8.21 HAPPIEST MINDS
 8.22 DATAIKU
 8.23 RAPIDMINER
 8.24 BIOFOURMIS
 8.25 IN-MED PROGNOSTICS
 8.26 AITO.AI
 8.27 SYMEND
 8.28 ONWARD HEALTH
 8.29 UNIONCRATE
 8.30 CYBERLABS
 8.31 ACTIFY DATA LABS
 8.32 AMLGO LABS
 8.33 VERIMOS
 8.34 OTHER MAJOR PLAYERS

Chapter 9: Global Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 9.1 Market Overview
 9.2 Historic and Forecasted Market Size By Type
  9.2.1 Solution
  9.2.2 Services
 9.3 Historic and Forecasted Market Size By Industry Vertical
  9.3.1 BFSI
  9.3.2 Healthcare
  9.3.3 Telecommunications and IT
  9.3.4 Others
 9.4 Historic and Forecasted Market Size By Firm Size
  9.4.1 Large
  9.4.2 Small

Chapter 10: North America Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 10.1 Key Market Trends, Growth Factors and Opportunities
 10.2 Impact of Covid-19
 10.3 Key Players
 10.4 Key Market Trends, Growth Factors and Opportunities
 10.4 Historic and Forecasted Market Size By Type
  10.4.1 Solution
  10.4.2 Services
 10.5 Historic and Forecasted Market Size By Industry Vertical
  10.5.1 BFSI
  10.5.2 Healthcare
  10.5.3 Telecommunications and IT
  10.5.4 Others
 10.6 Historic and Forecasted Market Size By Firm Size
  10.6.1 Large
  10.6.2 Small
 10.7 Historic and Forecast Market Size by Country
  10.7.1 U.S.
  10.7.2 Canada
  10.7.3 Mexico

Chapter 11: Europe Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 11.1 Key Market Trends, Growth Factors and Opportunities
 11.2 Impact of Covid-19
 11.3 Key Players
 11.4 Key Market Trends, Growth Factors and Opportunities
 11.4 Historic and Forecasted Market Size By Type
  11.4.1 Solution
  11.4.2 Services
 11.5 Historic and Forecasted Market Size By Industry Vertical
  11.5.1 BFSI
  11.5.2 Healthcare
  11.5.3 Telecommunications and IT
  11.5.4 Others
 11.6 Historic and Forecasted Market Size By Firm Size
  11.6.1 Large
  11.6.2 Small
 11.7 Historic and Forecast Market Size by Country
  11.7.1 Germany
  11.7.2 U.K.
  11.7.3 France
  11.7.4 Italy
  11.7.5 Russia
  11.7.6 Spain
  11.7.7 Rest of Europe

Chapter 12: Asia-Pacific Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 12.1 Key Market Trends, Growth Factors and Opportunities
 12.2 Impact of Covid-19
 12.3 Key Players
 12.4 Key Market Trends, Growth Factors and Opportunities
 12.4 Historic and Forecasted Market Size By Type
  12.4.1 Solution
  12.4.2 Services
 12.5 Historic and Forecasted Market Size By Industry Vertical
  12.5.1 BFSI
  12.5.2 Healthcare
  12.5.3 Telecommunications and IT
  12.5.4 Others
 12.6 Historic and Forecasted Market Size By Firm Size
  12.6.1 Large
  12.6.2 Small
 12.7 Historic and Forecast Market Size by Country
  12.7.1 China
  12.7.2 India
  12.7.3 Japan
  12.7.4 Singapore
  12.7.5 Australia
  12.7.6 New Zealand
  12.7.7 Rest of APAC

Chapter 13: Middle East & Africa Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 13.1 Key Market Trends, Growth Factors and Opportunities
 13.2 Impact of Covid-19
 13.3 Key Players
 13.4 Key Market Trends, Growth Factors and Opportunities
 13.4 Historic and Forecasted Market Size By Type
  13.4.1 Solution
  13.4.2 Services
 13.5 Historic and Forecasted Market Size By Industry Vertical
  13.5.1 BFSI
  13.5.2 Healthcare
  13.5.3 Telecommunications and IT
  13.5.4 Others
 13.6 Historic and Forecasted Market Size By Firm Size
  13.6.1 Large
  13.6.2 Small
 13.7 Historic and Forecast Market Size by Country
  13.7.1 Turkey
  13.7.2 Saudi Arabia
  13.7.3 Iran
  13.7.4 UAE
  13.7.5 Africa
  13.7.6 Rest of MEA

Chapter 14: South America Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
 14.1 Key Market Trends, Growth Factors and Opportunities
 14.2 Impact of Covid-19
 14.3 Key Players
 14.4 Key Market Trends, Growth Factors and Opportunities
 14.4 Historic and Forecasted Market Size By Type
  14.4.1 Solution
  14.4.2 Services
 14.5 Historic and Forecasted Market Size By Industry Vertical
  14.5.1 BFSI
  14.5.2 Healthcare
  14.5.3 Telecommunications and IT
  14.5.4 Others
 14.6 Historic and Forecasted Market Size By Firm Size
  14.6.1 Large
  14.6.2 Small
 14.7 Historic and Forecast Market Size by Country
  14.7.1 Brazil
  14.7.2 Argentina
  14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

LIST OF TABLES

TABLE 001. EXECUTIVE SUMMARY
TABLE 002. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET BARGAINING POWER OF SUPPLIERS
TABLE 003. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET BARGAINING POWER OF CUSTOMERS
TABLE 004. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET COMPETITIVE RIVALRY
TABLE 005. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET THREAT OF NEW ENTRANTS
TABLE 006. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET THREAT OF SUBSTITUTES
TABLE 007. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET BY TYPE
TABLE 008. SOLUTION MARKET OVERVIEW (2016-2028)
TABLE 009. SERVICES MARKET OVERVIEW (2016-2028)
TABLE 010. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET BY INDUSTRY VERTICAL
TABLE 011. BFSI MARKET OVERVIEW (2016-2028)
TABLE 012. HEALTHCARE MARKET OVERVIEW (2016-2028)
TABLE 013. TELECOMMUNICATIONS AND IT MARKET OVERVIEW (2016-2028)
TABLE 014. OTHERS MARKET OVERVIEW (2016-2028)
TABLE 015. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET BY FIRM SIZE
TABLE 016. LARGE MARKET OVERVIEW (2016-2028)
TABLE 017. SMALL MARKET OVERVIEW (2016-2028)
TABLE 018. NORTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY TYPE (2016-2028)
TABLE 019. NORTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL (2016-2028)
TABLE 020. NORTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY FIRM SIZE (2016-2028)
TABLE 021. N DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 022. EUROPE DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY TYPE (2016-2028)
TABLE 023. EUROPE DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL (2016-2028)
TABLE 024. EUROPE DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY FIRM SIZE (2016-2028)
TABLE 025. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 026. ASIA PACIFIC DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY TYPE (2016-2028)
TABLE 027. ASIA PACIFIC DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL (2016-2028)
TABLE 028. ASIA PACIFIC DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY FIRM SIZE (2016-2028)
TABLE 029. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 030. MIDDLE EAST & AFRICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY TYPE (2016-2028)
TABLE 031. MIDDLE EAST & AFRICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL (2016-2028)
TABLE 032. MIDDLE EAST & AFRICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY FIRM SIZE (2016-2028)
TABLE 033. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 034. SOUTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY TYPE (2016-2028)
TABLE 035. SOUTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL (2016-2028)
TABLE 036. SOUTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY FIRM SIZE (2016-2028)
TABLE 037. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET, BY COUNTRY (2016-2028)
TABLE 038. IBM: SNAPSHOT
TABLE 039. IBM: BUSINESS PERFORMANCE
TABLE 040. IBM: PRODUCT PORTFOLIO
TABLE 041. IBM: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 041. MICROSOFT: SNAPSHOT
TABLE 042. MICROSOFT: BUSINESS PERFORMANCE
TABLE 043. MICROSOFT: PRODUCT PORTFOLIO
TABLE 044. MICROSOFT: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 044. ORACLE: SNAPSHOT
TABLE 045. ORACLE: BUSINESS PERFORMANCE
TABLE 046. ORACLE: PRODUCT PORTFOLIO
TABLE 047. ORACLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 047. SAP: SNAPSHOT
TABLE 048. SAP: BUSINESS PERFORMANCE
TABLE 049. SAP: PRODUCT PORTFOLIO
TABLE 050. SAP: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 050. SAS INSTITUTE: SNAPSHOT
TABLE 051. SAS INSTITUTE: BUSINESS PERFORMANCE
TABLE 052. SAS INSTITUTE: PRODUCT PORTFOLIO
TABLE 053. SAS INSTITUTE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 053. GOOGLE: SNAPSHOT
TABLE 054. GOOGLE: BUSINESS PERFORMANCE
TABLE 055. GOOGLE: PRODUCT PORTFOLIO
TABLE 056. GOOGLE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 056. SALESFORCE: SNAPSHOT
TABLE 057. SALESFORCE: BUSINESS PERFORMANCE
TABLE 058. SALESFORCE: PRODUCT PORTFOLIO
TABLE 059. SALESFORCE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 059. AWS: SNAPSHOT
TABLE 060. AWS: BUSINESS PERFORMANCE
TABLE 061. AWS: PRODUCT PORTFOLIO
TABLE 062. AWS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 062. HPE: SNAPSHOT
TABLE 063. HPE: BUSINESS PERFORMANCE
TABLE 064. HPE: PRODUCT PORTFOLIO
TABLE 065. HPE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 065. TERADATA: SNAPSHOT
TABLE 066. TERADATA: BUSINESS PERFORMANCE
TABLE 067. TERADATA: PRODUCT PORTFOLIO
TABLE 068. TERADATA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 068. ALTERYX: SNAPSHOT
TABLE 069. ALTERYX: BUSINESS PERFORMANCE
TABLE 070. ALTERYX: PRODUCT PORTFOLIO
TABLE 071. ALTERYX: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 071. FICO: SNAPSHOT
TABLE 072. FICO: BUSINESS PERFORMANCE
TABLE 073. FICO: PRODUCT PORTFOLIO
TABLE 074. FICO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 074. ALTAIR: SNAPSHOT
TABLE 075. ALTAIR: BUSINESS PERFORMANCE
TABLE 076. ALTAIR: PRODUCT PORTFOLIO
TABLE 077. ALTAIR: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 077. DOMO: SNAPSHOT
TABLE 078. DOMO: BUSINESS PERFORMANCE
TABLE 079. DOMO: PRODUCT PORTFOLIO
TABLE 080. DOMO: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 080. CLOUDERA: SNAPSHOT
TABLE 081. CLOUDERA: BUSINESS PERFORMANCE
TABLE 082. CLOUDERA: PRODUCT PORTFOLIO
TABLE 083. CLOUDERA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 083. BOARD INTERNATIONAL: SNAPSHOT
TABLE 084. BOARD INTERNATIONAL: BUSINESS PERFORMANCE
TABLE 085. BOARD INTERNATIONAL: PRODUCT PORTFOLIO
TABLE 086. BOARD INTERNATIONAL: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 086. TIBCO SOFTWARE: SNAPSHOT
TABLE 087. TIBCO SOFTWARE: BUSINESS PERFORMANCE
TABLE 088. TIBCO SOFTWARE: PRODUCT PORTFOLIO
TABLE 089. TIBCO SOFTWARE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 089. HITACHI VANTARA: SNAPSHOT
TABLE 090. HITACHI VANTARA: BUSINESS PERFORMANCE
TABLE 091. HITACHI VANTARA: PRODUCT PORTFOLIO
TABLE 092. HITACHI VANTARA: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 092. QLIK: SNAPSHOT
TABLE 093. QLIK: BUSINESS PERFORMANCE
TABLE 094. QLIK: PRODUCT PORTFOLIO
TABLE 095. QLIK: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 095. HAPPIEST MINDS: SNAPSHOT
TABLE 096. HAPPIEST MINDS: BUSINESS PERFORMANCE
TABLE 097. HAPPIEST MINDS: PRODUCT PORTFOLIO
TABLE 098. HAPPIEST MINDS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 098. DATAIKU: SNAPSHOT
TABLE 099. DATAIKU: BUSINESS PERFORMANCE
TABLE 100. DATAIKU: PRODUCT PORTFOLIO
TABLE 101. DATAIKU: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 101. RAPIDMINER: SNAPSHOT
TABLE 102. RAPIDMINER: BUSINESS PERFORMANCE
TABLE 103. RAPIDMINER: PRODUCT PORTFOLIO
TABLE 104. RAPIDMINER: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 104. BIOFOURMIS: SNAPSHOT
TABLE 105. BIOFOURMIS: BUSINESS PERFORMANCE
TABLE 106. BIOFOURMIS: PRODUCT PORTFOLIO
TABLE 107. BIOFOURMIS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 107. IN-MED PROGNOSTICS: SNAPSHOT
TABLE 108. IN-MED PROGNOSTICS: BUSINESS PERFORMANCE
TABLE 109. IN-MED PROGNOSTICS: PRODUCT PORTFOLIO
TABLE 110. IN-MED PROGNOSTICS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 110. AITO.AI: SNAPSHOT
TABLE 111. AITO.AI: BUSINESS PERFORMANCE
TABLE 112. AITO.AI: PRODUCT PORTFOLIO
TABLE 113. AITO.AI: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 113. SYMEND: SNAPSHOT
TABLE 114. SYMEND: BUSINESS PERFORMANCE
TABLE 115. SYMEND: PRODUCT PORTFOLIO
TABLE 116. SYMEND: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 116. ONWARD HEALTH: SNAPSHOT
TABLE 117. ONWARD HEALTH: BUSINESS PERFORMANCE
TABLE 118. ONWARD HEALTH: PRODUCT PORTFOLIO
TABLE 119. ONWARD HEALTH: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 119. UNIONCRATE: SNAPSHOT
TABLE 120. UNIONCRATE: BUSINESS PERFORMANCE
TABLE 121. UNIONCRATE: PRODUCT PORTFOLIO
TABLE 122. UNIONCRATE: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 122. CYBERLABS: SNAPSHOT
TABLE 123. CYBERLABS: BUSINESS PERFORMANCE
TABLE 124. CYBERLABS: PRODUCT PORTFOLIO
TABLE 125. CYBERLABS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 125. ACTIFY DATA LABS: SNAPSHOT
TABLE 126. ACTIFY DATA LABS: BUSINESS PERFORMANCE
TABLE 127. ACTIFY DATA LABS: PRODUCT PORTFOLIO
TABLE 128. ACTIFY DATA LABS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128. AMLGO LABS: SNAPSHOT
TABLE 129. AMLGO LABS: BUSINESS PERFORMANCE
TABLE 130. AMLGO LABS: PRODUCT PORTFOLIO
TABLE 131. AMLGO LABS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 131. VERIMOS: SNAPSHOT
TABLE 132. VERIMOS: BUSINESS PERFORMANCE
TABLE 133. VERIMOS: PRODUCT PORTFOLIO
TABLE 134. VERIMOS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 134. OTHER MAJOR PLAYERS: SNAPSHOT
TABLE 135. OTHER MAJOR PLAYERS: BUSINESS PERFORMANCE
TABLE 136. OTHER MAJOR PLAYERS: PRODUCT PORTFOLIO
TABLE 137. OTHER MAJOR PLAYERS: KEY STRATEGIC MOVES AND DEVELOPMENTS

LIST OF FIGURES

FIGURE 001. YEARS CONSIDERED FOR ANALYSIS
FIGURE 002. SCOPE OF THE STUDY
FIGURE 003. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY REGIONS
FIGURE 004. PORTER'S FIVE FORCES ANALYSIS
FIGURE 005. BARGAINING POWER OF SUPPLIERS
FIGURE 006. COMPETITIVE RIVALRYFIGURE 007. THREAT OF NEW ENTRANTS
FIGURE 008. THREAT OF SUBSTITUTES
FIGURE 009. VALUE CHAIN ANALYSIS
FIGURE 010. PESTLE ANALYSIS
FIGURE 011. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY TYPE
FIGURE 012. SOLUTION MARKET OVERVIEW (2016-2028)
FIGURE 013. SERVICES MARKET OVERVIEW (2016-2028)
FIGURE 014. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY INDUSTRY VERTICAL
FIGURE 015. BFSI MARKET OVERVIEW (2016-2028)
FIGURE 016. HEALTHCARE MARKET OVERVIEW (2016-2028)
FIGURE 017. TELECOMMUNICATIONS AND IT MARKET OVERVIEW (2016-2028)
FIGURE 018. OTHERS MARKET OVERVIEW (2016-2028)
FIGURE 019. DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY FIRM SIZE
FIGURE 020. LARGE MARKET OVERVIEW (2016-2028)
FIGURE 021. SMALL MARKET OVERVIEW (2016-2028)
FIGURE 022. NORTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 023. EUROPE DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 024. ASIA PACIFIC DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 025. MIDDLE EAST & AFRICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)
FIGURE 026. SOUTH AMERICA DATA SCIENCE AND PREDICTIVE ANALYTICS MARKET OVERVIEW BY COUNTRY (2016-2028)