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Predictive Analytics Market - by Software Solutions (Data Mining & Management, Decision Support Systems, Fraud & Security Intelligence, Financial Intelligence, Customer Intelligence, and Others), By Delivery Mode (Cloud-Based Technology and On-Premise Deployment), By End-User (BFSI, Telecom & IT, Healthcare, Transport & Logistics, Government & Utilities, and Others) and by Application (Customer & Channel, Sales and Marketing, Finance & Risk, and Other Applications): Global Industry Perspective, Comprehensive Analysis And Forecast 2020-2026

Published Date: 10-Jan-2017 Category: Technology & Media Report Format : PDF Pages: 110 Report Code: ZMR-718 Status : Published

Global Predictive Analytics market, which was estimated at 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 26.3 (USD Billion) by 2026, is set to record a CAGR of nearly 21% over 2020-2026.

Description

The global Predictive Analytics market, which was estimated at 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 26.3 (USD Billion) by 2026, is set to record a CAGR of nearly 21% over 2020-2026. The report offers valuation and analysis of Predictive Analytics market on a global as well as regional level. The study offers a comprehensive assessment of the industry competition, limitations, sales estimates, avenues, current & emerging trends, and industry-validated market data. The report offers historical data from 2016 to 2019 along with a forecast from 2020 to 2026 based on value (USD Billion).

Introduction

Predictive analytics includes myriad statistical techniques such as data mining, machine learning, and predictive modeling. It helps in analyzing recent as well as historical facts pertaining to projection of future events. In business, predictive models find patterns in historical & transactional data for recognizing business challenges & opportunities. Apparently, predictive analytics is utilized in actuarial science, insurance, travel, marketing, telecommunications, financial services, retail, healthcare, smart mobility, and pharmaceuticals sectors. Apart from this, it finds plethora of applications in social networking as well as capacity planning activities and various underwriting activities. It is also used massively in clinical decision support systems.

Furthermore, the various approaches or techniques used for carrying out predictive analytics are regression methods and machine learning methods. Reportedly, regression techniques include linear regression model, multivariate adaptive regression splines, discrete choice model, classification and regression trees (CART), logistic regression model, probit regression model, and time series model.

Market Growth Drivers

Growing use of predictive analytics in clinical medicine & medical diagnostics will open a slew of opportunities for the predictive analytics market over the forecast timeframe. In addition to this, massive need for detecting credit card frauds as well as requirement for accurate stock market analysis will pave a way for the growth of predictive analytics industry over the forecasting timespan. Apart from this, rise in the use of internet along with increase in the number of persons accessing the web will translate into generation of huge data volumes, thereby creating lucrative avenues for the market within a span of next few years.

Furthermore, big data has brought a paradigm shift in the functions of the organization that include generating, managing, analyzing, and leveraging data. This, in turn, is likely to enlarge the scope of the predictive analytics business in the near future. Apparently, predictive analytics find numerous uses in manufacturing, credit scoring, and law enforcement activities as well as risk assessment activities, thereby charting a profitable roadmap for predictive analytics industry over the estimated timeframe. Technological breakthroughs such as AR, AI, VR, and machine learning are predicted to steer the market size in the years ahead. Acceptance of social media, internet, and enhanced use of data sets will spur the market demand in the years to come.

North America To Lead Overall Market Expansion By 2026

The growth of the predictive analytics industry in the sub-continent over the assessment timeframe is due to large-scale presence of key industry players in the countries such as the U.S. Furthermore, rise in the awareness pertaining to benefits incurred due to use predictive analytics in various industries will exponentiate the growth of the industry in the region over the upcoming years. With IoT and Big Data becoming the catch phrases of the reputed firms in the countries such as Canada and the U.S., the industry is likely to witness a noteworthy growth in the region in the near future.

Key participants profiled in the study include Microsoft Corporation, Acxiom Corporation, Tableau Software Inc., Information Builders, SAP SE, Teradata Corporation, Fair Isaac Corporation (FICO), TIBCO Software Inc, SAS Institute, and IBM Corporation. 

This report segments global predictive analytics market as follows:

Global Predictive Analytics Market: Delivery Mode Segment Analysis

  • Cloud Based Technology
  • On-Premises Installation

Global Predictive Analytics Market: Software Solutions Segment Analysis

  • Customer Intelligence
  • Decision Support Systems
  • Data Mining & Management
  • Fraud & Security Intelligence
  • Financial Intelligence
  • Others (including performance management, sustainability intelligence, campaign management etc.)

Global Predictive Analytics Market: End-user Segment Analysis

  • Banking, Financial Services & Insurance (BFSI)
  • Government, Public Administration & Utilities
  • Telecom and IT
  • Transportation & Logistics
  • Healthcare
  • Others (including Energy, Media, and entertainment, Engineering & construction etc)

Global Predictive Analytics Market: Application Segment Analysis

  • Sales & marketing
  • Customer & channel
  • Finance and risk
  • Others

By Region

  • North America
    • The U.S.
    • Canada
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific
  • Latin America
    • Brazil
    • Mexico
    • Rest of Latin America
  • Middle East & Africa
    • GCC
    • South Africa
    • Rest of Middle East & Africa

Table Of Content

  • Chapter 1. Introduction
    • 1.1. Report description and scope
    • 1.2. Research scope
    • 1.3. Research methodology
      • 1.3.1. Market research process
      • 1.3.2. Market research methodology
  • Chapter 2. Executive Summary
    • 2.1. Global market revenue, 2016 – 2022 (USD billion)
    • 2.2. Global predictive analytics market: Snapshot
  • Chapter 3. Predictive Analytics market – Global and Industry Analysis
    • 3.1. Predictive analytics: Market dynamics
    • 3.2. Value chain analysis
    • 3.3. Market drivers
      • 3.3.1. Drivers of global predictive analytics market: Impact analysis
      • 3.3.2. Technological advancement
      • 3.3.3. Strong demand from enterprises and business
    • 3.4. Market restraints
      • 3.4.1. Restraints of global predictive analytics market: Impact analysis
      • 3.4.2. Complex process and scarcity of expertise
    • 3.5. Opportunities
      • 3.5.1. Rising demand from developing countries
    • 3.6. Porter’s five forces analysis
    • 3.7. Market Attractiveness Analysis
      • 3.7.1. Market attractiveness analysis by delivery mode segment
      • 3.7.2. Market attractiveness analysis by software solutions segment
      • 3.7.3. Market attractiveness analysis by End-usersegment
      • 3.7.4. Market attractiveness analysis by application segment
      • 3.7.5. Market attractiveness analysis by regional segment
  • Chapter 4. Global Predictive analytics market - Competitive Landscape
    • 4.1. Company market share, 2016
  • Chapter 5. Global Predictive Analytics Market – Delivery Mode Segment Analysis
    • 5.1. Global predictive analytics market: delivery mode overview
      • 5.1.1. Global predictive analytics market revenue share, by delivery mode, 2016 - 2022
    • 5.2. Cloud based technology
      • 5.2.1. Global cloud based predictive analytics market, 2016 – 2022 (USD Billion)
    • 5.3. On-premises installation
      • 5.3.1. Global on-premises predictive analytics market, by delivery mode, 2016 – 2022 (USD Billion)
  • Chapter 6. Global Predictive Analytics Market – Software Solutions Segment Analysis
    • 6.1. Global predictive analytics market: software solutions overview
      • 6.1.1. Global predictive analytics market revenue share, by software solutions, 2016 - 2022
    • 6.2. Decision support systems
      • 6.2.1. Global predictive analytics market, by decision support systems, 2016 – 2022 (USD Billion)
    • 6.3. Customer intelligence
      • 6.3.1. Global customer intelligence market, by customer intelligence, 2016 – 2022 (USD Billion)
    • 6.4. Data mining & management
      • 6.4.1. Global data mining & management market, by data mining & management, 2016 – 2022 (USD Billion)
    • 6.5. Fraud & security intelligence
      • 6.5.1. Global Fraud & security intelligence market, by fraud & security intelligence, 2016 – 2022 (USD Billion)
    • 6.6. Financial intelligence
      • 6.6.1. Global financial intelligence systems market, by financial intelligence, 2016-2022 (USD Billion)
    • 6.7. Others
      • 6.7.1. Global other predictive analytics market, by others, 2016-2022 (USD Billion)
  • Chapter 7. Global Predictive Analytics market – End-user Segment Analysis
    • 7.1. Global predictive analytics market: End-user overview
      • 7.1.1. Global predictive analytics market revenue share by end-user, 2016-2022
    • 7.2. Banking, financial services & insurance (BFSI)
      • 7.2.1. Global predictive analytics market for banking, financial services & insurance (BFSI), 2016-2022 (USD Million)
    • 7.3. Government, public administration & utilities
      • 7.3.1. Global predictive analytics market for government, public administration & utilities, 2016-2022 (USD Million)
    • 7.4. Telecom and IT
      • 7.4.1. Global predictive analytics market for telecom and IT, 2016-2022 (USD Million)
    • 7.5. Transportation & logistics
      • 7.5.1. Global predictive analytics market transportation & logistics, 2016-2022 (USD Million)
    • 7.6. Healthcare
      • 7.6.1. Global predictive analytics market for healthcare, 2016-2022 (USD Million)
    • 7.7. Others
      • 7.7.1. Global predictive analytics market for other End-user industries, 2016-2022 (USD Million)
  • Chapter 8. Global Predictive Analytics market – Application Segment Analysis
    • 8.1. Global predictive analytics market: Application overview
      • 8.1.1. Global predictive analytics market revenue share by application, 2016 - 2022
    • 8.2. Sales & marketing
      • 8.2.1. Global predictive analytics market for sales and marketing, 2016-2022 (USD million)
    • 8.3. Customer & channel
      • 8.3.1. Global predictive analytics market for customer and channel, 2016-2022 (USD Million)
    • 8.4. Finance and risk
      • 8.4.1. Global predictive analytics market for finance and risk, 2016-2022 (USD Million)
    • 8.5. Others
      • 8.5.1. Global predictive analytics market for other application, 2016-2022 (USD Million)
  • Chapter 9. Global Predictive Analytics market – Regional Segment Analysis
    • 9.1. Global predictive analytics market: Regional overview
      • 9.1.1. Global predictive analytics market revenue share by region, 2016 - 2020
    • 9.2. North America
      • 9.2.1. North America predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
      • 9.2.2. North America predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
      • 9.2.3. North America predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
      • 9.2.4. North America predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.2.5. U.S.
        • 9.2.5.1. U.S. predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.2.5.2. U.S. predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.2.5.3. U.S. predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.2.5.4. U.S. predictive analytics market revenue, by application, 2016-2022 (USD Million)
    • 9.3. Europe
      • 9.3.1. Europe predictive analytics market revenue, by a delivery mode, 2016-2022 (USD Million)
      • 9.3.2. Europe predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
      • 9.3.3. Europe predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
      • 9.3.4. Europe predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.3.5. Germany
        • 9.3.5.1. Germany predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.3.5.2. Germany predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.3.5.3. Germany predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.3.5.4. Germany predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.3.6. France
        • 9.3.6.1. France predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.3.6.2. France predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.3.6.3. France predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.3.6.4. France predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.3.7. UK
        • 9.3.7.1. UK predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.3.7.2. UK predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.3.7.3. UK predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.3.7.4. UK predictive analytics market revenue, by application, 2016-2022 (USD Million)
    • 9.4. Asia Pacific
      • 9.4.1. Asia Pacific predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
      • 9.4.2. Asia Pacific predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
      • 9.4.3. Asia Pacific predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
      • 9.4.4. Asia Pacific predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.4.5. China
        • 9.4.5.1. China predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.4.5.2. China predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.4.5.3. China predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.4.5.4. China predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.4.6. Japan
        • 9.4.6.1. Japan predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.4.6.2. Japan predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.4.6.3. Japan predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.4.6.4. Japan predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.4.7. India
        • 9.4.7.1. India predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.4.7.2. India predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.4.7.3. India predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.4.7.4. India predictive analytics market revenue, by application, 2016-2022 (USD Million)
    • 9.5. Latin America
      • 9.5.1. Latin America predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
      • 9.5.2. Latin America predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
      • 9.5.3. Latin America predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
      • 9.5.4. Latin America predictive analytics market revenue, by application, 2016-2022 (USD Million)
      • 9.5.5. Brazil
        • 9.5.5.1. Brazil predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
        • 9.5.5.2. Brazil predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
        • 9.5.5.3. Brazil predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
        • 9.5.5.4. Brazil predictive analytics market revenue, by application, 2016-2022 (USD Million)
    • 9.6. Middle East and Africa
      • 9.6.1. Middle East and Africa predictive analytics market revenue, by delivery mode, 2016-2022 (USD Million)
      • 9.6.2. Middle East and Africa predictive analytics market revenue, by software solutions, 2016-2022 (USD Million)
      • 9.6.3. Middle East and Africa predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
      • 9.6.4. Middle East and Africa predictive analytics market revenue, by end-user, 2016-2022 (USD Million)
  • Chapter 10. Company Profile
    • 10.1. Information Builders
      • 10.1.1. Overview
      • 10.1.2. Financials
      • 10.1.3. Product portfolio
      • 10.1.4. Business strategy
      • 10.1.5. Recent developments
    • 10.2. SAP AG
      • 10.2.1. Overview
      • 10.2.2. Financials
      • 10.2.3. Product portfolio
      • 10.2.4. Business strategy
      • 10.2.5. Recent developments
    • 10.3. Fair Isaac Corporation
      • 10.3.1. Overview
      • 10.3.2. Financials
      • 10.3.3. Product portfolio
      • 10.3.4. Business strategy
      • 10.3.5. Recent developments
    • 10.4. Tableau Software Inc.
      • 10.4.1. Overview
      • 10.4.2. Financials
      • 10.4.3. Product portfolio
      • 10.4.4. Business strategy
      • 10.4.5. Recent developments
    • 10.5. IBM Corporation
      • 10.5.1. Overview
      • 10.5.2. Financials
      • 10.5.3. Product portfolio
      • 10.5.4. Business strategy
      • 10.5.5. Recent developments
    • 10.6. Microsoft Corporation
      • 10.6.1. Overview
      • 10.6.2. Financials
      • 10.6.3. Product portfolio
      • 10.6.4. Business strategy
      • 10.6.5. Recent developments
    • 10.7. SAS Institute Inc
      • 10.7.1. Overview
      • 10.7.2. Financials
      • 10.7.3. Product portfolio
      • 10.7.4. Business strategy
      • 10.7.5. Recent developments
    • 10.8. TIBCO Software Inc
      • 10.8.1. Overview
      • 10.8.2. Financials
      • 10.8.3. Product portfolio
      • 10.8.4. Business strategy
      • 10.8.5. Recent developments
    • 10.9. Oracle Corporation
      • 10.9.1. Overview
      • 10.9.2. Financials
      • 10.9.3. Product portfolio
      • 10.9.4. Business strategy
      • 10.9.5. Recent developments
    • 10.10. Teradata Corporation
      • 10.10.1. Overview
      • 10.10.2. Financials
      • 10.10.3. Product portfolio
      • 10.10.4. Business strategy
      • 10.10.5. Recent developments

Methodology

This report is based on in-depth qualitative and quantitative analyses of the global Predictive Analytics market. Zion Research has collected and analyzed key data belong to the global Predictive Analytics market using a variety of methods. Quantitative analysis has been done following various projection and sampling techniques.

The qualitative analysis involved primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes were validated through experts' opinions. The market dynamics have been determined after conducting a detailed study of the micro and macroeconomic indicators of the market.

Various parameters have been taken into account while estimating market size. The revenue generated by the leading industry participants in from the sales of Predictive Analytics across the world has been calculated through primary and secondary research.

Zion Research employs the combination of secondary research followed by extensive primary research. Under secondary research, we refer to prominent paid as well as open access data sources including product literature, company annual reports, government publications, press releases, industry association’s magazines and other relevant sources for data collection. Other prominent secondary sources include STATISTA, trade journals, trade associations, statistical data from government websites, etc. 

For this study, Zion Research has conducted all-encompassing primary research with key industry participants to collect first had data. Moreover, in-depth interviews with key opinion leaders also assisted in the validation of findings from secondary research and to understand key trends in the Predictive Analytics industry. Primary research makes up the major source of data collection and validation.   

Primary Research

We conduct primary interviews with industry participants and commentators on an ongoing basis to validate data and analysis. A typical research interview fulfills the following functions:

  • Provides firsthand information on market size, market trends, growth trends, competitive landscape, outlook, etc.
  • Helps in validating and strengthening the secondary research findings
  • Further, develops the analysis team’s expertise and market understanding
  • Primary research involves e-mail interactions, telephonic interviews as well as face-to-face interviews for each market, category, segment and sub-segment across geographies

Participants who typically participate in such a process include, but are not limited to:

  • Industry participants: CEOs, VPs, marketing/product managers, market intelligence managers and national sales managers
  • Purchasing managers, technical personnel, distributors and resellers
  • Outside experts: Investment bankers, valuation experts and research analysts specializing in specific markets

Key opinion leaders specializing in different areas corresponding to different industry verticals

Secondary Research

Secondary research sources that are typically referred to include, but are not limited to:

  • Company websites, annual reports, financial reports, broker reports, investor presentations and SEC filings
  • IDC and other relevant magazines
  • Internal and external proprietary databases, and relevant patent and regulatory databases
  • National government documents, statistical databases and market reports

News articles, press releases and webcasts specific to companies operating in the market

Following a comprehensive secondary and primary research and insights thus gathered, analysts at Zion Research have provided an in-depth analysis of various aspects of the Predictive Analytics market.

Models

Where no hard data is available, we use models and estimates to produce comprehensive data sets. A rigorous methodology is adopted, wherein the available hard data is cross-referenced with the following data types to produce estimates:

  • Demographic data: Population split by segments
  • Macroeconomic indicators: GDP, PPP, Per Capita Income, etc.
  • Industry indicators: Expenditure, technology stage and infrastructure, sector growth and facilities
  • Data is then cross-checked by an expert panel.

Free Analysis

Predictive analytics is the advanced form of analysis which is used to predict future events. It takes new and historical data to identify patterns and forecast future activity, behavior, and trends. It uses many techniques like data mining, statistical algorithms, machine learning and artificial intelligence to identify the likelihood of future outcomes based on historical data. In business, predictive analytics models explore patterns found in transactional data to identify risk and opportunity for future. These models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision-making for candidate transactions.

Predictive analytics helps in the optimization of the marketing campaigns and understanding the customer behavior for boosting the end-user response. Predictive analytics have been adopted by many industries such as BFSI, IT, telecommunication, retail, healthcare, food & beverage and government to survive in an era of cut throat competition.Across different end-use sectors, banking and financial services, government and insurance emerged as leading markets. The banking sector is data intensive with massive and unused credit and ATM processing data. Financial institutions and banks are increasingly adopting inventive models of proactive risk management such as predictive analytics. Different application areas for predictive analytics include sales and marketing, customer & channel, finance & risk and others. Finance & risk emerged as largest application segment with over 40% market share of total revenue generated in 2016. This is due to benefits of predictive analytics model for analyzing fraud vulnerabilities and security breach.

Global-Predictive-Analytics-Market

Constant technology changes, high competition, and artificial intelligence are the key drivers of predictive analytics market. The other drivers have increased usage of Big Data and cloud by organizations and growing need for product differentiation driving introduction and adoption of new technologies.As a result, predictive analytics market is anticipated to emerge as the very profitable market in near future.

North America leads the predictive analysis market due to technological advancements, followed by Europe and APAC on account of increasing awareness. Key application markets covered under this study includes customer & channel, sales and marketing, finance & risk and others.

Every business models follow the different pattern and predictive analytics understand each pattern and accordingly predict the result. The task is to convert the inconsistency into a consistent result.Major players in predictive analytics market offering services and solutions globally are Tableau Software Inc., Information Builders, Fair Isaac Corporation (FICO), and TIBCO Software Inc SAS Institute, Teradata Corporation, Acxiom Corporation, SAP SE, Microsoft Corporation, IBM Corporation and others.


Frequently Asked Questions

Growing use of predictive analytics in clinical medicine & medical diagnostics will open a slew of opportunities for the predictive analytics market over the forecast timeframe. In addition to this, massive need for detecting credit card frauds as well as requirement for accurate stock market analysis will pave a way for the growth of predictive analytics industry over the forecasting timespan. Apart from this, rise in the use of internet along with increase in the number of persons accessing the web will translate into generation of huge data volumes, thereby creating lucrative avenues for the market within a span of next few years.

Furthermore, big data has brought a paradigm shift in the functions of the organization that include generating, managing, analyzing, and leveraging data. This, in turn, is likely to enlarge the scope of the predictive analytics business in the near future.

According to Zion market research report The global Predictive Analytics market, which was estimated at 7.1 (USD Billion) in 2019 and is predicted to accrue earnings worth 26.3 (USD Billion) by 2026, is set to record a CAGR of nearly 21% over 2020-2026.

North America is likely to make noteworthy contributions towards overall market revenue during the estimated timespan. The regional market growth over 2020-2026 can be credited to large-scale presence of key industry players in the countries such as the U.S. Furthermore, rise in the awareness pertaining to benefits incurred due to use predictive analytics in various industries will exponentiate the growth of the industry in the region over the upcoming years. With IoT and Big Data becoming the catch phrases of the reputed firms in the countries such as Canada and the U.S., the industry is likely to witness a noteworthy growth in the region in the near future.

The key players profiled in the report include Microsoft Corporation, Acxiom Corporation, Tableau Software Inc., Information Builders, SAP SE, Teradata Corporation, Fair Isaac Corporation (FICO), TIBCO Software Inc, SAS Institute, and IBM Corporation.
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