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Predictive Analytics Market by Component (Solution and Services), Deployment (On-premise and Cloud), Enterprise Size (Large Enterprises and Small & Medium-sized Enterprises), and Industry Vertical (BFSI, Retail, IT & Telecom, Healthcare, Government, Manufacturing, and Others): Global Opportunity Analysis and Industry Forecast, 2020–2027

A00972
Pages: 306
Jul 2020 | 5726 Views
 
Author(s) : Vishwa Gaul , Vineet Kumar
Tables: 137
Charts: 74
 

COVID-19

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Predictive Analytics Market Statistics: 2027

The global predictive analytics market size was valued at $7.32 billion in 2019, and is projected to reach $35.45 billion by 2027, growing at a CAGR of 21.9% from 2020 to 2027. Predictive analytics is the practice of using statistics and modeling techniques to extract information from current and historical datasets to predict potential future outcomes and trends. Rise in awareness among organizations about massive volume of data generated to predict future outcomes by using predictive analysis solutions is driving the growth of the market. In addition, increase in usage of internet coupled with the availability of several sources of accessing the internet has led increase in data generation. Thus, leveraging this data to make accurate business strategies and decisions optimizes the revenue, which is driving the demand for predictive analytics solutions.

Post COVID-19 emergence, healthcare segment is anticipated to witness significant growth owing to use of predictive analytics for precision medicine & genomics, population health & risk scoring, disease outbreak prediction, and more.

Increase in the adoption of predictive modeling tools, surge in investments for Big Data supporting initiatives by governments, and rise in adoption of Big Data technologies are some of the major factors that are driving the global predictive analytics market growth. However, dearth of skilled IT staff and high implementation cost are anticipated to restrict the market growth. On the contrary, integration of IoT and AI in predictive analytics and rise in demand for predictive analytics by SMEs are anticipated to provide lucrative growth opportunities for the expansion of global predictive analytics market during the analysis period.

Predictive Analytics Market

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On the basis of component, the global predictive analytics solution segment is expected to dominate the overall predictive analytics market size in 2027. This is attributed to advantage of predictive analytics solution such as delivering business-critical insights into what may happen in future based on analysis of historic data, customer behavior insights, and fraud prevention. By predictive analytics solution type, the customer analytics segment is expected to lead the market during the forecast period, owing to need for analyzing rapidly generating massive volume of customer data through multiple sources such touchpoints and e-commerce sites.

According to industry vertical, the BFSI segment accounted for the highest predictive analytics market share in 2019, as regulatory framework has become more complex across the world. Moreover, predictive analytics in BFSI facilitates capital planning, financial analytics, credit risk management, and insurance risk management, which further fuel the growth of this segment.  

Predictive Analytics Market
By Component

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Predictive analytics Solution segment is projected as one of the most lucrative segments during the forecast period.

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In 2019, the global predictive analytics market share was dominated by the North America region, due to high spending on Big Data analytics and early adoption of modern technologies IoT & AI in this region. The need to analyze customer behavior & purchasing patterns, forecast the budget requirements, formulate effective marketing campaigns by analyzing historic trends act as the key driving forces of the North America predictive analytics market.

The emergence of COVID-19 is expected to have a trivial impact on the growth predictive analytics market. Innovations and advances in predictive analytics to track down and forecast surges in COVID-19 cases across different countries have further supported the market growth. Thus, use of predictive analytics in healthcare to analyze the virus spread, disease outcomes, and insight into COVID-19 risk is expected to propel the market growth. In addition, with the emergence COVID-19, the use of predictive analytics will enable enterprises to analyze business continuity scenarios and loopholes post COVID-19.

Predictive Analytics Market
By Deployment Mode

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Cloud deployment mode segment is projected to witness highest growth rate during the forecast period.

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The report focuses on the growth prospects, restraints, and global predictive analytics market trends. Moreover, the study includes Porter’s five forces analysis of the industry to understand the impact of various factors such as bargaining power of suppliers, competitive intensity of competitors, threat of new entrants, threat of substitutes, and bargaining power of buyers on the predictive analytics market growth.

Segment review

The global predictive analytics market is segmented into component, deployment, enterprise size, industry vertical, and region. By component, it is divided into solution, and services. Solution segment is further sub categorized into customer analytics, financial analytics, marketing, network analytics, risk analytics, supply chain analytics, web and social media analytics, and others. Depending on deployment, it is categorized into cloud and on-premises. According to enterprise size, the predictive analytics market is segregated into large enterprises and small & medium enterprises. As per industry vertical, it is fragmented into BFSI, retail, IT & telecom, healthcare, government, manufacturing, and others. Region wise, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the global predictive analytics market analysis include Alteryx, Inc., Fair Isaac Corporation, Information Builders, International Business Machines Corporation, KNIME, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., and TIBCO Solution Inc.

Predictive Analytics Market
By Enterprise Size

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Large Enterprises accounted for the highest market share in 2019.

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Top impacting factors

Increase in adoption of predictive modeling tools

The adoption of predictive modeling tools has amplified in recent years supplemented with interactive visualization and automation. These tools help in accelerating the methods of developing and analyzing predictive models that are used by organizations for conducting operations such as customer analytics, risk reporting, threat management, and product innovation. Furthermore, number of enterprises are streamlining their sales pipelines from lead generation to customer base by using a predictive analytics on large volumes of customer data. Moreover, the use of predictive modeling tools for social media advertising, e-mail campaigns, and cognitive analysis of customers are has led to growth in sales and increase in customer retention. In addition, by using predictive analytics to devise signals, IoT applications can enable the automation of business operations and processes across the supply chain to enhance consumer experience. Thus, as several industries such as BFSI, retail & e-commerce, and manufacturing are adopting predictive modelling tools, which is expected to contribute toward the predictive analytics market growth.

Predictive Analytics Market
By Industry Vertical

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BFSI industry is one of the most significant segments.

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Rise in adoption of Big Data technologies

The volume of data captured by organization is continuously increasing due to rise in trend of Internet of Things (IoT), social media, and multimedia, which has produced a prodigious flow of data. Machine-based as well as human-generated data are witnessing 10 times faster growth rate than conventional business data. In addition, around 41 billion IoT devices are expected to be available in the global market by 2027, which will collect, analyze, and share this data. Increase in need to store, process, and analyze large volume of structured as well as unstructured datasets has driven many organizations and individuals to adopt advanced & big data analytics, which is likely to drive the growth of the market. Furthermore, due to massive amount of data generation in different industry verticals, investment in Big Data will increase, which, in turn, will fuel the growth of the predictive analytics market.

Emergence of modern technologies such as IoT and AI

Surge in penetration of connected devices has augmented the demand for predictive maintenance, which is expected to drive the growth of the predictive analytics market in the coming years. IoT environment is proliferating the adoption of predictive analytics, as it facilitates predictive maintenance leading to enhanced energy efficiency and higher levels of production uptime. In addition, numerous industries are demanding a solution that can predict when their machines are going to get damaged. They are implementing sensors that can analyze the patterns and predict the outcome or any anomaly in the operation of machines. This as a result enables industries to reduce the downtime of the machine and increase the productivity. This benefit is expected to boost the growth of predictive analytics industry in upcoming years.

Predictive analytics driven by AI can take the existing data and unlock immense value from it. AI-powered analytics can help in predicting which leads to score as potential customers, present insights on the competitors, and predict what target audiences want to buy and consume. Moreover, it can be used for anomaly detection by analyzing customers’ behavioral patterns. For instance, Rapidminer Company worked along with AI and data science engineers at PayPal to develop a system that could perform sentiment analysis for customer comments in over 150,000 text-based forms in several different languages, including 50,000 tweets and Facebook posts.

Predictive Analytics Market
By Region

2027
North America 
Europe
Asia-pacific
Lamea

Asia-Pacific would exhibit the highest CAGR of 24.9% during 2020-2027.

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Key Benefits for Stakeholders:

  • This study includes the analytical depiction of the global predictive analytics market forecast and trends to determine the imminent investment pockets.
  •  The report presents information related to key drivers, restraints, and predictive analytics market opportunity.
  •  The current market size is quantitatively analyzed from 2019 to 2027 to highlight the financial competency of the predictive analytics industry.
  •  Porter’s five forces analysis illustrates the potency of buyers & suppliers in the predictive analytics market.

Key Market Segments:

By Component    

  • Solution
    • Customer Analytics
    • Financial Analytics
    • Risk Analytics
    • Marketing & Sales Analytics
    • Supply Chain Analytics
    • Network Analytics
    • Web & Social Media Analytics
    • Others
  •  Services 

 By Deployment     

  •  On-premise
  •  Cloud    

By Enterprise Size    

  •  Large Enterprises 
  •  Small & Medium Enterprises (SMEs)

 By Industry Vertical

  •  BFSI
  •  Retail
  •  IT & Telecom
  •  Healthcare
  •  Government
  •  Manufacturing
  •  Others

By Region

  • North America
    • U.S.
    • Canada
  •  Europe 
    • UK
    • Germany
    • France
    • Rest of Europe
  •  Asia-Pacific 
    • China
    • India
    • Japan
    • Australia
    • Rest of Asia-Pacific
  •  LAMEA
    • Latin America
    • Middle East
    • Africa

Key Market Players

  •  Alteryx, Inc. 
  •  Fair Isaac Corporation 
  •  Information Builders 
  •  International Business Machines Corporation 
  •  KNIME 
  •  Microsoft Corporation 
  •  Oracle Corporation 
  •  SAP SE
  •  SAS Institute Inc. 
  •  TIBCO Software Inc.
 

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key benefits
1.3. Key market segments
1.4. Research methodology

1.4.1. Secondary research
1.4.2. Primary research
1.4.3. Analyst tools & models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. Key findings

2.1.1. Top impacting factors
2.1.2. Top investment pockets

2.2. CXO perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Porter’s five forces analysis

3.2.1. Moderate -To-High bargaining power of suppliers
3.2.2. Low-To-High bargaining power of buyers
3.2.3. Low-To-High Threat of substitutes
3.2.4. Low threat of new entrants
3.2.5. Low-To-High competitive rivalry

3.3. Case studies

3.3.1. Case study 01
3.3.2. Case study 02

3.4. Market dynamics

3.4.1. Drivers

3.4.1.1. Increase in the adoption of predictive modeling tools
3.4.1.2. Big Data infrastructure supporting initiatives by governments
3.4.1.3. Rise in adoption of Big Data technologies

3.4.2. Restraint

3.4.2.1. High implementation cost
3.4.2.2. Lack of skilled workforce

3.4.3. Opportunity

3.4.3.1. Emergence of IoT, and AI technologies

3.5. Impact analysis: Covid-19 on predictive analytics market

3.5.1. Impact on market size
3.5.2. Consumer trends, preferences, and budget impact
3.5.3. Regulatory framework
3.5.4. Economic impact
3.5.5. Key player strategies to tackle negative impact
3.5.6. Opportunity window (due to COVID outbreak)

CHAPTER 4: PREDICTIVE ANALYTICS MARKET, BY COMPONENT

4.1. Overview
4.2. Solution

4.2.1. Key market trends, growth factors, and opportunities
4.2.2. Market size and forecast, by region
4.2.3. Market analysis, by country
4.2.4. Market size and forecast, by type

4.2.4.1. Customer Analytics
4.2.4.2. Financial Analytics
4.2.4.3. Risk Analytics
4.2.4.4. Marketing Analytics
4.2.4.5. Supply Chain Analytics
4.2.4.6. Network Analytics
4.2.4.7. Web & Social Media Analytics
4.2.4.8. Others

4.3. Services

4.3.1. Key market trends, growth factors, and opportunities
4.3.2. Market size and forecast, by region
4.3.3. Market analysis, by country

CHAPTER 5: PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT

5.1. Overview
5.2. On-premise

5.2.1. Key market trends, growth factors, and opportunities
5.2.2. Market size and forecast, by region
5.2.3. Market analysis, by country

5.3. Cloud

5.3.1. Key market trends, growth factors, and opportunities
5.3.2. Market size and forecast, by region
5.3.3. Market analysis, by country

CHAPTER 6: PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE

6.1. Overview
6.2. Large enterprises

6.2.1. Key market trends, growth factors, and opportunities
6.2.2. Market size and forecast, by region
6.2.3. Market analysis, by country

6.3. Small & medium enterprises

6.3.1. Key market trends, growth factors, and opportunities
6.3.2. Market size and forecast, by region
6.3.3. Market analysis, by country

CHAPTER 7: PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL

7.1. Overview
7.2. BFSI

7.2.1. Key market trends, growth factors, and opportunities
7.2.2. Market size and forecast, by region
7.2.3. Market analysis, by country

7.3. Retail

7.3.1. Key market trends, growth factors, and opportunities
7.3.2. Market size and forecast, by region
7.3.3. Market analysis, by country

7.4. IT & Telecom

7.4.1. Key market trends, growth factors, and opportunities
7.4.2. Market size and forecast, by region
7.4.3. Market analysis, by country

7.5. Healthcare

7.5.1. Key market trends, growth factors, and opportunities
7.5.2. Market size and forecast, by region
7.5.3. Market analysis, by country

7.6. Government

7.6.1. Key market trends, growth factors, and opportunities
7.6.2. Market size and forecast, by region
7.6.3. Market analysis, by country

7.7. Manufacturing

7.7.1. Key market trends, growth factors, and opportunities
7.7.2. Market size and forecast, by region
7.7.3. Market analysis, by country

7.8. Others

7.8.1. Key market trends, growth factors, and opportunities
7.8.2. Market size and forecast, by region
7.8.3. Market analysis, by country

CHAPTER 8: PREDICTIVE ANALYTICS MARKET, BY REGION

8.1. Overview
8.2. North America

8.2.1. Key market trends, growth factors, and opportunities
8.2.2. Market size and forecast, by component
8.2.3. Market size and forecast, by deployment
8.2.4. Market size and forecast, by enterprise size
8.2.5. Market size and forecast, by industry vertical
8.2.6. Market analysis by country

8.2.6.1. U.S.

8.2.6.1.1. Market size and forecast, by component
8.2.6.1.2. Market size and forecast, by deployment
8.2.6.1.3. Market size and forecast, by enterprise size
8.2.6.1.4. Market size and forecast, by industry vertical

8.2.6.2. Canada

8.2.6.2.1. Market size and forecast, by component
8.2.6.2.2. Market size and forecast, by deployment
8.2.6.2.3. Market size and forecast, by enterprise size
8.2.6.2.4. Market size and forecast, by industry vertical

8.3. Europe

8.3.1. Key market trends, growth factors, and opportunities
8.3.2. Market size and forecast, by component
8.3.3. Market size and forecast, by deployment
8.3.4. Market size and forecast, by enterprise size
8.3.5. Market size and forecast, by industry vertical
8.3.6. Market analysis by country

8.3.6.1. UK

8.3.6.1.1. Market size and forecast, by component
8.3.6.1.2. Market size and forecast, by type
8.3.6.1.3. Market size and forecast, by deployment
8.3.6.1.4. Market size and forecast, by enterprise size
8.3.6.1.5. Market size and forecast, by industry vertical

8.3.6.2. Germany

8.3.6.2.1. Market size and forecast, by component
8.3.6.2.2. Market size and forecast, by deployment
8.3.6.2.3. Market size and forecast, by enterprise size
8.3.6.2.4. Market size and forecast, by industry vertical

8.3.6.3. France

8.3.6.3.1. Market size and forecast, by component
8.3.6.3.2. Market size and forecast, by deployment
8.3.6.3.3. Market size and forecast, by enterprise size
8.3.6.3.4. Market size and forecast, by industry vertical

8.3.6.4. Rest of Europe

8.3.6.4.1. Market size and forecast, by component
8.3.6.4.2. Market size and forecast, by deployment
8.3.6.4.3. Market size and forecast, by enterprise size
8.3.6.4.4. Market size and forecast, by industry vertical

8.4. Asia-Pacific

8.4.1. Key market trends, growth factors, and opportunities
8.4.2. Market size and forecast, by component
8.4.3. Market size and forecast, by deployment
8.4.4. Market size and forecast, by enterprise size
8.4.5. Market size and forecast, by industry vertical
8.4.6. Market analysis by country

8.4.6.1. China

8.4.6.1.1. Market size and forecast, by component
8.4.6.1.2. Market size and forecast, by deployment
8.4.6.1.3. Market size and forecast, by enterprise size
8.4.6.1.4. Market size and forecast, by industry vertical

8.4.6.2. India

8.4.6.2.1. Market size and forecast, by component
8.4.6.2.2. Market size and forecast, by deployment
8.4.6.2.3. Market size and forecast, by enterprise size
8.4.6.2.4. Market size and forecast, by industry vertical

8.4.6.3. Japan

8.4.6.3.1. Market size and forecast, by component
8.4.6.3.2. Market size and forecast, by deployment
8.4.6.3.3. Market size and forecast, by enterprise size
8.4.6.3.4. Market size and forecast, by industry vertical

8.4.6.4. Australia

8.4.6.4.1. Market size and forecast, by component
8.4.6.4.2. Market size and forecast, by deployment
8.4.6.4.3. Market size and forecast, by enterprise size
8.4.6.4.4. Market size and forecast, by industry vertical

8.4.6.5. Rest of Asia-Pacific

8.4.6.5.1. Market size and forecast, by component
8.4.6.5.2. Market size and forecast, by deployment
8.4.6.5.3. Market size and forecast, by enterprise size
8.4.6.5.4. Market size and forecast, by industry vertical

8.5. LAMEA

8.5.1. Key market trends, growth factors, and opportunities
8.5.2. Market size and forecast, by component
8.5.3. Market size and forecast, by deployment
8.5.4. Market size and forecast, by enterprise size
8.5.5. Market size and forecast, by industry vertical
8.5.6. Market analysis by country

8.5.6.1. Latin America

8.5.6.1.1. Market size and forecast, by component
8.5.6.1.2. Market size and forecast, by deployment
8.5.6.1.3. Market size and forecast, by enterprise size
8.5.6.1.4. Market size and forecast, by industry vertical

8.5.6.2. Middle East

8.5.6.2.1. Market size and forecast, by component
8.5.6.2.2. Market size and forecast, by deployment
8.5.6.2.3. Market size and forecast, by enterprise size
8.5.6.2.4. Market size and forecast, by industry vertical

8.5.6.3. Africa

8.5.6.3.1. Market size and forecast, by component
8.5.6.3.2. Market size and forecast, by deployment
8.5.6.3.3. Market size and forecast, by enterprise size
8.5.6.3.4. Market size and forecast, by industry vertical

CHAPTER 9: COMPETITIVE LANDSCAPE

9.1. Top player positioning
9.2. Competitive dashboard
9.3. Product heatmap
9.4. Top winning strategies
9.5. Key developments

9.5.1. Partnership
9.5.2. Collaboration
9.5.3. Acquisition
9.5.4. Product development

CHAPTER 10: COMPANY PROFILE

10.1. Alteryx, Inc.

10.1.1. Company overview
10.1.2. Key executives
10.1.3. Company snapshot
10.1.4. Product portfolio
10.1.5. R&D Expenditure
10.1.6. Business performance
10.1.7. Key strategic moves and developments

10.2. Fair Isaac Corporation

10.2.1. Company overview
10.2.2. Key executives
10.2.3. Company snapshot
10.2.4. Operating business segments
10.2.5. Product portfolio
10.2.6. R&D expenditure
10.2.7. Business performance
10.2.8. Key strategic moves and developments

10.3. Information Builders

10.3.1. Company overview
10.3.2. Key executives
10.3.3. Company snapshot
10.3.4. Product portfolio
10.3.5. Key strategic moves and developments

10.4. International Business Machines Corporation

10.4.1. Company overview
10.4.2. Key Executives
10.4.3. Company snapshot
10.4.4. Operating business segments
10.4.5. Product portfolio
10.4.6. R&D expenditure
10.4.7. Business performance
10.4.8. Key strategic moves and developments

10.5. KNIME

10.5.1. Company overview
10.5.2. Key executives
10.5.3. Company snapshot
10.5.4. Product portfolio
10.5.5. Key strategic moves and developments

10.6. Microsoft Corporation

10.6.1. Company overview
10.6.2. Key executives
10.6.3. Company snapshot
10.6.4. Operating business segments
10.6.5. Product portfolio
10.6.6. R&D expenditure
10.6.7. Business performance
10.6.8. Key strategic moves and developments

10.7. Oracle Corporation

10.7.1. Company overview
10.7.2. Key executives
10.7.3. Company snapshot
10.7.4. Operating business segments
10.7.5. Product portfolio
10.7.6. R&D expenditure
10.7.7. Business performance
10.7.8. Key strategic moves and developments

10.8. SAP SE

10.8.1. Company overview
10.8.2. Key executives
10.8.3. Company snapshot
10.8.4. Operating business segments
10.8.5. Product portfolio
10.8.6. R&D expenditure
10.8.7. Business performance
10.8.8. Key strategic moves and developments

10.9. SAS Institute Inc.

10.9.1. Company overview
10.9.2. Key executives.
10.9.3. Company snapshot
10.9.4. Product portfolio
10.9.5. Key strategic moves and developments

10.10. TIBCO Software Inc.

10.10.1. Company overview
10.10.2. Key executives
10.10.3. Company snapshot
10.10.4. Product portfolio
10.10.5. Key strategic moves and developments

LIST OF TABLES

TABLE 01. GLOBAL PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019–2027 ($MILLION)
TABLE 02. PREDICTIVE ANALYTICS MARKET FOR SOLUTION, BY REGION, 2019–2027 ($MILLION)
TABLE 03. PREDICTIVE ANALYTICS MARKET FOR SOLUTION, BY TYPE, 2019–2027 ($MILLION)
TABLE 04. PREDICTIVE ANALYTICS MARKET FOR SERVICE, BY REGION, 2019–2027 ($MILLION)
TABLE 05. GLOBAL PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019–2027 ($MILLION)
TABLE 06. PREDICTIVE ANALYTICS MARKET FOR ON-PREMISE, BY REGION, 2019–2027 ($MILLION)
TABLE 07. PREDICTIVE ANALYTICS MARKET FOR CLOUD, BY REGION, 2019–2027 ($MILLION)
TABLE 08. GLOBAL PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019–2027 ($MILLION)
TABLE 09. PREDICTIVE ANALYTICS MARKET FOR LARGE ENTERPRISES, BY REGION, 2019–2027 ($MILLION)
TABLE 10. PREDICTIVE ANALYTICS MARKET FOR SMALL & MEDIUM ENTERPRISES, BY REGION, 2019–2027 ($MILLION)
TABLE 11. PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019–2027 ($MILLION)
TABLE 12. PREDICTIVE ANALYTICS MARKET FOR BFSI, BY REGION, 2019–2027 ($MILLION)
TABLE 13. PREDICTIVE ANALYTICS MARKET FOR RETAIL, BY REGION, 2019–2027 ($MILLION)
TABLE 14. PREDICTIVE ANALYTICS MARKET FOR IT & TELECOM, BY REGION, 2019–2027 ($MILLION)
TABLE 15. PREDICTIVE ANALYTICS MARKET FOR HEALTHCARE, BY REGION, 2019–2027 ($MILLION)
TABLE 16. PREDICTIVE ANALYTICS MARKET FOR GOVERNMENET, BY REGION, 2019–2027 ($MILLION)
TABLE 17. PREDICTIVE ANALYTICS MARKET FOR MANUFACTURING, BY REGION, 2019–2027 ($MILLION)
TABLE 18. PREDICTIVE ANALYTICS MARKET FOR HEALTHCARE, BY REGION, 2019–2027 ($MILLION)
TABLE 19. PREDICTIVE ANALYTICS MARKET, BY REGION , 2019–2027 ($MILLION)
TABLE 20. NORTH AMERICA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 21. NORTH AMERICA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 22. NORTH AMERICA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 23. NORTH AMERICA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 24. NORTH AMERICA PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2019-2027 ($MILLION)
TABLE 25. U.S. PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 26. U.S. PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 27. U.S. PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 28. U.S. PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 29. CANADA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 30. CANADA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 31. CANADA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 32. CANADA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 33. EUROPE PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 34. EUROPE PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 35. EUROPE PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 36. EUROPE PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 37. EUROPE PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2019-2027 ($MILLION)
TABLE 38. UK PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 39. UK PREDICTIVE ANALYTICS MARKET, BY TYPE, 2019-2027 ($MILLION)
TABLE 40. UK PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 41. UK PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 42. UK PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 43. GERMANY PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 44. GERMANY PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 45. GERMANY PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 46. GERMANY PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 47. FRANCE PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 48. FRANCE PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 49. FRANCE PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 50. FRANCE PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 51. REST OF EUROPE PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 52. REST OF EUROPE PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 53. REST OF EUROPE PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 54. REST OF EUROPE PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 55. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 56. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 57. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 58. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 59. ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2019-2027 ($MILLION)
TABLE 60. CHINA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 61. CHINA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 62. CHINA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 63. CHINA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 64. INDIA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 65. INDIA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 66. INDIA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 67. INDIA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 68. JAPAN PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 69. JAPAN PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 70. JAPAN PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 71. JAPAN PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 72. AUSTRALIA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 73. AUSTRALIA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 74. AUSTRALIA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 75. AUSTRALIA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 76. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 77. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 78. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 79. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 80. LAMEA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 81. LAMEA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 82. LAMEA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 83. LAMEA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 84. LATIN AMERICA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 85. LATIN AMERICA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 86. LATIN AMERICA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 87. LATIN AMERICA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 88. MIDDLE EAST PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 89. MIDDLE EAST PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 90. MIDDLE EAST PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 91. MIDDLE EAST PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 92. AFRICA PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019-2027 ($MILLION)
TABLE 93. AFRICA PREDICTIVE ANALYTICS MARKET, BY DEPLOYMENT, 2019-2027 ($MILLION)
TABLE 94. AFRICA PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019-2027 ($MILLION)
TABLE 95. AFRICA PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019-2027 ($MILLION)
TABLE 96. KEY NEW PRODUCT LAUNCHES (2017-2019)
TABLE 97. PARTNERSHIP (2017-2019)
TABLE 98. COLLABORATION (2017-2019)
TABLE 99. ACQUISITION (2017-2019)
TABLE 100. PRODUCT DEVELOPMENT (2017-2019)
TABLE 101. ALTERYX, INC.: KEY EXECUTIVES
TABLE 102. ALTERYX, INC.: COMPANY SNAPSHOT
TABLE 103. ALTERYX, INC.: PRODUCT PORTFOLIO
TABLE 104. FAIR ISAAC CORPORATION.: COMPANY SNAPSHOT
TABLE 105. FAIR ISAAC CORPORATION: OPERATING SEGMENTS
TABLE 106. FAIR ISAAC CORPORATION: VIDEO ANALYTICS PRODUCT PORTFOLIO
TABLE 110. INFORMATION BUILDERS: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 111. INTERNATIONAL BUSINESS MACHINES CORPORATION: KEY EXECUTIVES
TABLE 112. INTERNATIONAL BUSINESS MACHINES CORPORATION: COMPANY SNAPSHOT
TABLE 113. INTERNATIONAL BUSINESS MACHINES CORPORATION: OPERATING SEGMENTS
TABLE 114. INTERNATIONAL BUSINESS MACHINES CORPORATION: PRODUCT PORTFOLIO
TABLE 115. KNIME: KEY EXECUTIVES
TABLE 116. KNIME: COMPANY SNAPSHOT
TABLE 117. KNIME: PRODUCT PORTFOLIO
TABLE 118. KNIME: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 119. MICROSOFT CORPORATION : KEY EXECUTIVES
TABLE 120. MICROSOFT CORPORATION : COMPANY SNAPSHOT
TABLE 121. MICROSOFT CORPORATION : OPERATING SEGMENTS
TABLE 122. MICROSOFT CORPORATION : PRODUCT PORTFOLIO
TABLE 123. ORACLE CORPORATION: KEY EXECUTIVES
TABLE 124. ORACLE CORPORATION: COMPANY SNAPSHOT
TABLE 125. ORACLE CORPORATION: OPERATING SEGMENTS
TABLE 126. ORACLE CORPORATION: PRODUCT PORTFOLIO
TABLE 127. ORACLE CORPORATION: KEY STRATEGIC MOVES AND DEVELOPMENTS
TABLE 128. SAP SE: KEY EXECUTIVES
TABLE 129. SAP SE: COMPANY SNAPSHOT
TABLE 130. SAP SE: OPERATING SEGMENTS
TABLE 131. SAP SE: PRODUCT PORTFOLIO
TABLE 132. SAS INSTITUTE INC.: KEY EXECUTIVES
TABLE 133. SAS INSTITUTE INC.: COMPANY SNAPSHOT
TABLE 134. SAS INSTITUTE INC.: PRODUCT PORTFOLIO
TABLE 135. TIBCO SOFTWARE INC.: KEY EXECUTIVES
TABLE 136. TIBCO SOFTWARE INC.: COMPANY SNAPSHOT
TABLE 137. TIBCO SOFTWARE INC.: VIDEO ANALYTICS PRODUCT PORTFOLIO

LIST OF FIGURES

FIGURE 01. KEY MARKET SEGMENTS
FIGURE 02. KEY MARKET PLAYERS
FIGURE 03. PREDICTIVE ANALYTICS MARKET, 2019–2027
FIGURE 04. PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2019-2027
FIGURE 05. TOP IMPACTING FACTORS
FIGURE 06. TOP INVESTMENT POCKETS
FIGURE 07. MODERATE -TO-HIGH BARGAINING POWER OF SUPPLIERS
FIGURE 08. LOW-TO-HIGH BARGAINING POWER OF BUYERS
FIGURE 09. LOW-TO-HIGH THREAT OF SUBSTITUTES
FIGURE 10. LOW THREAT OF NEW ENTRANTS
FIGURE 11. LOW-TO-HIGH COMPETITIVE RIVALRY
FIGURE 12. MARKET DYNAMICS: GLOBAL PREDICTIVE ANALYTICS MARKET
FIGURE 13. GLOBAL PREDICTIVE ANALYTICS MARKET, BY COMPONENT, 2019–2027 ($MILLION)
FIGURE 14. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR SOLUTION, BY COUNTRY, 2019 & 2027 (%)
FIGURE 15. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR SERVICE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 16. GLOBAL PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019–2027 ($MILLION)
FIGURE 17. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR ON-PREMISE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 18. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR CLOUD, BY COUNTRY, 2019 & 2027 (%)
FIGURE 19. GLOBAL PREDICTIVE ANALYTICS MARKET, BY ENTERPRISE SIZE, 2019–2027 ($MILLION)
FIGURE 20. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR LARGE ENTERPRISES, BY COUNTRY,  2019 & 2027 (%)
FIGURE 21. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR SMALL & MEDIUM ENTERPRISES,  BY COUNTRY, 2019 & 2027 (%)
FIGURE 22. PREDICTIVE ANALYTICS MARKET, BY INDUSTRY VERTICAL, 2019–2027 ($MILLION)
FIGURE 23. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR BFSI, BY COUNTRY, 2019 & 2027 (%)
FIGURE 24. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR RETAIL, BY COUNTRY, 2019 & 2027 (%)
FIGURE 25. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR IT & TELECOM, BY COUNTRY, 2019 & 2027 (%)
FIGURE 26. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR HEALTHCARE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 27. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR GOVERNMENT, BY COUNTRY,  2019 & 2027 (%)
FIGURE 28. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR MANUFACTURING, BY COUNTRY,  2019 & 2027 (%)
FIGURE 29. COMPARATIVE SHARE ANALYSIS OF PREDICTIVE ANALYTICS MARKET FOR HEALTHCARE, BY COUNTRY, 2019 & 2027 (%)
FIGURE 30. U.S. PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 31. CANADA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 32. UK PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 33. GERMANY PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 34. FRANCE PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 35. REST OF EUROPE PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 36. CHINA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 37. INDIA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 38. JAPAN PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 39. AUSTRALIA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 40. REST OF ASIA-PACIFIC PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 41. LAMEA PREDICTIVE ANALYTICS MARKET, BY COUNTRY, 2019-2027 ($MILLION)
FIGURE 42. LATIN AMERICA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 43. MIDDLE EAST PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 44. AFRICA PREDICTIVE ANALYTICS MARKET, 2019-2027 ($MILLION)
FIGURE 45. PREDICTIVE ANALYTICS MARKET: KEY PLAYER POSITIONING, 2019
FIGURE 46. COMPETITIVE DASHBOARD
FIGURE 47. COMPETITIVE DASHBOARD
FIGURE 48. COMPETITIVE HEATMAP OF KEY PLAYERS
FIGURE 49. TOP WINNING STRATEGIES, BY YEAR, 2017-2020
FIGURE 50. TOP WINNING STRATEGIES, BY DEVELOPMENT, 2017-2020
FIGURE 51. TOP WINNING STRATEGIES, BY COMPANY, 2017-2020
FIGURE 53. ALTERYX, INC.: REVENUE, 2017–2019 ($MILLION)
FIGURE 54. ALTERYX, INC.: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 55. FAIR ISAAC CORPORATION: KEY EXECUTIVES
FIGURE 56. FAIR ISAAC CORPORATION: R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 57. FAIR ISAAC CORPORATION: REVENUE, 2017–2019 ($BILLION)
FIGURE 58. FAIR ISAAC CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 59. R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 60. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 61. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 62. INTERNATIONAL BUSINESS MACHINES CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 63. R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 64. MICROSOFT CORPORATION : REVENUE, 2017–2019 ($MILLION)
FIGURE 65. MICROSOFT CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 66. MICROSOFT CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 67. R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 68. ORACLE CORPORATION: REVENUE, 2017–2019 ($MILLION)
FIGURE 69. ORACLE CORPORATION: REVENUE SHARE BY SEGMENT, 2019 (%)
FIGURE 70. ORACLE CORPORATION: REVENUE SHARE BY REGION, 2019 (%)
FIGURE 71. R&D EXPENDITURE, 2017–2019 ($MILLION)
FIGURE 72. SAP SE: REVENUE, 2017–2019 ($MILLION)
FIGURE 73. SAP SE: REVENUE SHARE, BY SEGMENT, 2019 (%)
FIGURE 74. SAP SE: REVENUE SHARE BY REGION, 2019 (%)

 
 

Asia-Pacific countries are expected to witness high adoption of predictive analytics due to presence large number of end users and increase in Big Data adoption in the region. In future, predictive analytics models will play an integral role in business processes due to the immense economic value generated by it. With predictive analytics, organizations have the opportunity to take action proactively in a variety of functions. Fraud prevention in banks, disaster prevention for governments, and sublime marketing campaigns are some of the lucrative potential opportunities tangible with predictive analytics models.

Surge in penetration of smart devices and increase in internet connectivity in Europe and Asia-Pacific are further propelling the demand for predictive analytics in these regions. Moreover, rise in cloud adoption and upsurge in investment in Big Data analytics are expected to boost the growth of the predictive analytics market in the coming years. Moreover, the outbreak of the COVID-19 pandemic in 2020 has led to innovation of predictive analytics solution for combating the crisis and helping healthcare industry in tracking virus spread & anticipating the COVID-19 cases as well as resource demands.

The key players operating in the global predictive analytics market include Alteryx, Inc., Fair Isaac Corporation, Information Builders, International Business Machines Corporation, KNIME, Microsoft Corporation, Oracle Corporation, SAP SE, SAS Institute Inc., and TIBCO Solution Inc. These players have adopted various revenue and business growth strategies to enhance and develop their product portfolio, strengthen their market share, and increase their market penetration.

 

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