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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.

Global Data Science and Predictive Analytics Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 16.41 Bn.

Forecast Period 2024-32 CAGR:

19.89 %

Market Size in 2032:

USD 83.98 Bn.

Segments Covered:

By Type

  • Solution
  • Services

By Industry Vertical

  • BFSI
  • Healthcare
  • Telecommunications and IT
  • Others

By Firm Size

  • Large
  • Small

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Adoption of Big Data Technology

Key Market Restraints:

  • The Accuracy Depend on The Data Being Used as Reference

Key Opportunities:

  • Penetration of AI and IoT technology

Companies Covered in the report:

  • IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US) and other major players.

Chapter 1: Introduction
ā€ƒ1.1 Research Objectives
ā€ƒ1.2 Research Methodology
ā€ƒ1.3 Research Process
ā€ƒ1.4 Scope and Coverage
ā€ƒā€ƒ1.4.1 Market Definition
ā€ƒā€ƒ1.4.2 Key Questions Answered
ā€ƒ1.5 Market Segmentation

Chapter 2:Executive Summary

Chapter 3:Growth Opportunities By Segment
ā€ƒ3.1 By Type
ā€ƒ3.2 By Industry Vertical
ā€ƒ3.3 By Firm Size

Chapter 4: Market Landscape
ā€ƒ4.1 Porter's Five Forces Analysis
ā€ƒā€ƒ4.1.1 Bargaining Power of Supplier
ā€ƒā€ƒ4.1.2 Threat of New Entrants
ā€ƒā€ƒ4.1.3 Threat of Substitutes
ā€ƒā€ƒ4.1.4 Competitive Rivalry
ā€ƒā€ƒ4.1.5 Bargaining Power Among Buyers
ā€ƒ4.2 Industry Value Chain Analysis
ā€ƒ4.3 Market Dynamics
ā€ƒā€ƒ4.3.1 Drivers
ā€ƒā€ƒ4.3.2 Restraints
ā€ƒā€ƒ4.3.3 Opportunities
ā€ƒā€ƒ4.5.4 Challenges
ā€ƒ4.4 Pestle Analysis
ā€ƒ4.5 Technological Roadmap
ā€ƒ4.6 Regulatory Landscape
ā€ƒ4.7 SWOT Analysis
ā€ƒ4.8 Price Trend Analysis
ā€ƒ4.9 Patent Analysis
ā€ƒ4.10 Analysis of the Impact of Covid-19
ā€ƒā€ƒ4.10.1 Impact on the Overall Market
ā€ƒā€ƒ4.10.2 Impact on the Supply Chain
ā€ƒā€ƒ4.10.3 Impact on the Key Manufacturers
ā€ƒā€ƒ4.10.4 Impact on the Pricing

Chapter 5: Data Science and Predictive Analytics Market by Type
ā€ƒ5.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
ā€ƒ5.2 Data Science and Predictive Analytics Market Overview
ā€ƒ5.3 Solution
ā€ƒā€ƒ5.3.1 Introduction and Market Overview
ā€ƒā€ƒ5.3.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ5.3.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ5.3.4 Solution: Grographic Segmentation
ā€ƒ5.4 Services
ā€ƒā€ƒ5.4.1 Introduction and Market Overview
ā€ƒā€ƒ5.4.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ5.4.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ5.4.4 Services: Grographic Segmentation

Chapter 6: Data Science and Predictive Analytics Market by Industry Vertical
ā€ƒ6.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
ā€ƒ6.2 Data Science and Predictive Analytics Market Overview
ā€ƒ6.3 BFSI
ā€ƒā€ƒ6.3.1 Introduction and Market Overview
ā€ƒā€ƒ6.3.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ6.3.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ6.3.4 BFSI: Grographic Segmentation
ā€ƒ6.4 Healthcare
ā€ƒā€ƒ6.4.1 Introduction and Market Overview
ā€ƒā€ƒ6.4.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ6.4.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ6.4.4 Healthcare: Grographic Segmentation
ā€ƒ6.5 Telecommunications and IT
ā€ƒā€ƒ6.5.1 Introduction and Market Overview
ā€ƒā€ƒ6.5.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ6.5.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ6.5.4 Telecommunications and IT: Grographic Segmentation
ā€ƒ6.6 Others
ā€ƒā€ƒ6.6.1 Introduction and Market Overview
ā€ƒā€ƒ6.6.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ6.6.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ6.6.4 Others: Grographic Segmentation

Chapter 7: Data Science and Predictive Analytics Market by Firm Size
ā€ƒ7.1 Data Science and Predictive Analytics Market Overview Snapshot and Growth Engine
ā€ƒ7.2 Data Science and Predictive Analytics Market Overview
ā€ƒ7.3 Large
ā€ƒā€ƒ7.3.1 Introduction and Market Overview
ā€ƒā€ƒ7.3.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ7.3.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ7.3.4 Large: Grographic Segmentation
ā€ƒ7.4 Small
ā€ƒā€ƒ7.4.1 Introduction and Market Overview
ā€ƒā€ƒ7.4.2 Historic and Forecasted Market Size (2016-2028F)
ā€ƒā€ƒ7.4.3 Key Market Trends, Growth Factors and Opportunities
ā€ƒā€ƒ7.4.4 Small: Grographic Segmentation

Chapter 8: Company Profiles and Competitive Analysis
ā€ƒ8.1 Competitive Landscape
ā€ƒā€ƒ8.1.1 Competitive Positioning
ā€ƒā€ƒ8.1.2 Data Science and Predictive Analytics Sales and Market Share By Players
ā€ƒā€ƒ8.1.3 Industry BCG Matrix
ā€ƒā€ƒ8.1.4 Ansoff Matrix
ā€ƒā€ƒ8.1.5 Data Science and Predictive Analytics Industry Concentration Ratio (CR5 and HHI)
ā€ƒā€ƒ8.1.6 Top 5 Data Science and Predictive Analytics Players Market Share
ā€ƒā€ƒ8.1.7 Mergers and Acquisitions
ā€ƒā€ƒ8.1.8 Business Strategies By Top Players
ā€ƒ8.2 IBM
ā€ƒā€ƒ8.2.1 Company Overview
ā€ƒā€ƒ8.2.2 Key Executives
ā€ƒā€ƒ8.2.3 Company Snapshot
ā€ƒā€ƒ8.2.4 Operating Business Segments
ā€ƒā€ƒ8.2.5 Product Portfolio
ā€ƒā€ƒ8.2.6 Business Performance
ā€ƒā€ƒ8.2.7 Key Strategic Moves and Recent Developments
ā€ƒā€ƒ8.2.8 SWOT Analysis
ā€ƒ8.3 MICROSOFT
ā€ƒ8.4 ORACLE
ā€ƒ8.5 SAP
ā€ƒ8.6 SAS INSTITUTE
ā€ƒ8.7 GOOGLE
ā€ƒ8.8 SALESFORCE
ā€ƒ8.9 AWS
ā€ƒ8.10 HPE
ā€ƒ8.11 TERADATA
ā€ƒ8.12 ALTERYX
ā€ƒ8.13 FICO
ā€ƒ8.14 ALTAIR
ā€ƒ8.15 DOMO
ā€ƒ8.16 CLOUDERA
ā€ƒ8.17 BOARD INTERNATIONAL
ā€ƒ8.18 TIBCO SOFTWARE
ā€ƒ8.19 HITACHI VANTARA
ā€ƒ8.20 QLIK
ā€ƒ8.21 HAPPIEST MINDS
ā€ƒ8.22 DATAIKU
ā€ƒ8.23 RAPIDMINER
ā€ƒ8.24 BIOFOURMIS
ā€ƒ8.25 IN-MED PROGNOSTICS
ā€ƒ8.26 AITO.AI
ā€ƒ8.27 SYMEND
ā€ƒ8.28 ONWARD HEALTH
ā€ƒ8.29 UNIONCRATE
ā€ƒ8.30 CYBERLABS
ā€ƒ8.31 ACTIFY DATA LABS
ā€ƒ8.32 AMLGO LABS
ā€ƒ8.33 VERIMOS
ā€ƒ8.34 OTHER MAJOR PLAYERS

Chapter 9: Global Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ9.1 Market Overview
ā€ƒ9.2 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ9.2.1 Solution
ā€ƒā€ƒ9.2.2 Services
ā€ƒ9.3 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ9.3.1 BFSI
ā€ƒā€ƒ9.3.2 Healthcare
ā€ƒā€ƒ9.3.3 Telecommunications and IT
ā€ƒā€ƒ9.3.4 Others
ā€ƒ9.4 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ9.4.1 Large
ā€ƒā€ƒ9.4.2 Small

Chapter 10: North America Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ10.1 Key Market Trends, Growth Factors and Opportunities
ā€ƒ10.2 Impact of Covid-19
ā€ƒ10.3 Key Players
ā€ƒ10.4 Key Market Trends, Growth Factors and Opportunities
ā€ƒ10.4 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ10.4.1 Solution
ā€ƒā€ƒ10.4.2 Services
ā€ƒ10.5 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ10.5.1 BFSI
ā€ƒā€ƒ10.5.2 Healthcare
ā€ƒā€ƒ10.5.3 Telecommunications and IT
ā€ƒā€ƒ10.5.4 Others
ā€ƒ10.6 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ10.6.1 Large
ā€ƒā€ƒ10.6.2 Small
ā€ƒ10.7 Historic and Forecast Market Size by Country
ā€ƒā€ƒ10.7.1 U.S.
ā€ƒā€ƒ10.7.2 Canada
ā€ƒā€ƒ10.7.3 Mexico

Chapter 11: Europe Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ11.1 Key Market Trends, Growth Factors and Opportunities
ā€ƒ11.2 Impact of Covid-19
ā€ƒ11.3 Key Players
ā€ƒ11.4 Key Market Trends, Growth Factors and Opportunities
ā€ƒ11.4 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ11.4.1 Solution
ā€ƒā€ƒ11.4.2 Services
ā€ƒ11.5 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ11.5.1 BFSI
ā€ƒā€ƒ11.5.2 Healthcare
ā€ƒā€ƒ11.5.3 Telecommunications and IT
ā€ƒā€ƒ11.5.4 Others
ā€ƒ11.6 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ11.6.1 Large
ā€ƒā€ƒ11.6.2 Small
ā€ƒ11.7 Historic and Forecast Market Size by Country
ā€ƒā€ƒ11.7.1 Germany
ā€ƒā€ƒ11.7.2 U.K.
ā€ƒā€ƒ11.7.3 France
ā€ƒā€ƒ11.7.4 Italy
ā€ƒā€ƒ11.7.5 Russia
ā€ƒā€ƒ11.7.6 Spain
ā€ƒā€ƒ11.7.7 Rest of Europe

Chapter 12: Asia-Pacific Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ12.1 Key Market Trends, Growth Factors and Opportunities
ā€ƒ12.2 Impact of Covid-19
ā€ƒ12.3 Key Players
ā€ƒ12.4 Key Market Trends, Growth Factors and Opportunities
ā€ƒ12.4 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ12.4.1 Solution
ā€ƒā€ƒ12.4.2 Services
ā€ƒ12.5 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ12.5.1 BFSI
ā€ƒā€ƒ12.5.2 Healthcare
ā€ƒā€ƒ12.5.3 Telecommunications and IT
ā€ƒā€ƒ12.5.4 Others
ā€ƒ12.6 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ12.6.1 Large
ā€ƒā€ƒ12.6.2 Small
ā€ƒ12.7 Historic and Forecast Market Size by Country
ā€ƒā€ƒ12.7.1 China
ā€ƒā€ƒ12.7.2 India
ā€ƒā€ƒ12.7.3 Japan
ā€ƒā€ƒ12.7.4 Singapore
ā€ƒā€ƒ12.7.5 Australia
ā€ƒā€ƒ12.7.6 New Zealand
ā€ƒā€ƒ12.7.7 Rest of APAC

Chapter 13: Middle East & Africa Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ13.1 Key Market Trends, Growth Factors and Opportunities
ā€ƒ13.2 Impact of Covid-19
ā€ƒ13.3 Key Players
ā€ƒ13.4 Key Market Trends, Growth Factors and Opportunities
ā€ƒ13.4 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ13.4.1 Solution
ā€ƒā€ƒ13.4.2 Services
ā€ƒ13.5 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ13.5.1 BFSI
ā€ƒā€ƒ13.5.2 Healthcare
ā€ƒā€ƒ13.5.3 Telecommunications and IT
ā€ƒā€ƒ13.5.4 Others
ā€ƒ13.6 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ13.6.1 Large
ā€ƒā€ƒ13.6.2 Small
ā€ƒ13.7 Historic and Forecast Market Size by Country
ā€ƒā€ƒ13.7.1 Turkey
ā€ƒā€ƒ13.7.2 Saudi Arabia
ā€ƒā€ƒ13.7.3 Iran
ā€ƒā€ƒ13.7.4 UAE
ā€ƒā€ƒ13.7.5 Africa
ā€ƒā€ƒ13.7.6 Rest of MEA

Chapter 14: South America Data Science and Predictive Analytics Market Analysis, Insights and Forecast, 2016-2028
ā€ƒ14.1 Key Market Trends, Growth Factors and Opportunities
ā€ƒ14.2 Impact of Covid-19
ā€ƒ14.3 Key Players
ā€ƒ14.4 Key Market Trends, Growth Factors and Opportunities
ā€ƒ14.4 Historic and Forecasted Market Size By Type
ā€ƒā€ƒ14.4.1 Solution
ā€ƒā€ƒ14.4.2 Services
ā€ƒ14.5 Historic and Forecasted Market Size By Industry Vertical
ā€ƒā€ƒ14.5.1 BFSI
ā€ƒā€ƒ14.5.2 Healthcare
ā€ƒā€ƒ14.5.3 Telecommunications and IT
ā€ƒā€ƒ14.5.4 Others
ā€ƒ14.6 Historic and Forecasted Market Size By Firm Size
ā€ƒā€ƒ14.6.1 Large
ā€ƒā€ƒ14.6.2 Small
ā€ƒ14.7 Historic and Forecast Market Size by Country
ā€ƒā€ƒ14.7.1 Brazil
ā€ƒā€ƒ14.7.2 Argentina
ā€ƒā€ƒ14.7.3 Rest of SA

Chapter 15 Investment Analysis

Chapter 16 Analyst Viewpoint and Conclusion

Global Data Science and Predictive Analytics Market

Base Year:

2023

Forecast Period:

2024-2032

Historical Data:

2017 to 2023

Market Size in 2023:

USD 16.41 Bn.

Forecast Period 2024-32 CAGR:

19.89 %

Market Size in 2032:

USD 83.98 Bn.

Segments Covered:

By Type

  • Solution
  • Services

By Industry Vertical

  • BFSI
  • Healthcare
  • Telecommunications and IT
  • Others

By Firm Size

  • Large
  • Small

By Region

  • North America (U.S., Canada, Mexico)
  • Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
  • Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
  • Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
  • South America (Brazil, Argentina, Rest of SA)

Key Market Drivers:

  • Adoption of Big Data Technology

Key Market Restraints:

  • The Accuracy Depend on The Data Being Used as Reference

Key Opportunities:

  • Penetration of AI and IoT technology

Companies Covered in the report:

  • IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US) and other major players.
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Frequently Asked Questions :

What would be the forecast period in the Data Science and Predictive Analytics Market research report?

The forecast period in the data science and predictive analytics market research report is 2024-2032.

Who are the key players in Data Science and Predictive Analytics Market?

IBM (US), Microsoft (US), Oracle (US), SAP (Germany), SAS Institute (US), Google (US) and Other Major Players.

What are the segments of Data Science and Predictive Analytics Market?

Data Science and Predictive Analytics are segmented into Type, Industrial Vertical, Firm Size and region. By Type, the market is categorized into Solution, Services. By Industrial Vertical, the market is BFSI, Healthcare, Telecommunications and IT, Others. By Firm Size Large, Small. By region, it is analyzed across North America (U.S.; Canada; Mexico), Europe (Germany; U.K.; France; Italy; Russia; Spain, etc.), Asia-Pacific (China; India; Japan; Southeast Asia, etc.), South America (Brazil; Argentina, etc.), Middle East & Africa (Saudi Arabia; South Africa, etc.).

What are the Data Science and Predictive Analytics Market?

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 other. 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 modeling, machine learning and data mining techniques.

How big are Data Science and Predictive Analytics Market?

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).