Product Overview

Predictive analytics is a methodology that analyses both historical and predicted activity as well as patterns. This research is carried out by applying various approaches, such as automatic algorithms for machine learning and statistical analysis. In order to be able to construct predictive models, these activities are carried out. In order to assess (quantitatively) the probability or likelihood of an occurrence happening, these models can then be used. Predictive analytics software uses available variables in order to analyze and calculate the probability of customer activity, equipment, etc. Prediction would allow companies to be prepared in advance with the customers' necessary requirements. Predicting consumer requirements and designing products accordingly brings a competitive advantage to every organization.

Market Highlights

Predictive Analytics Market is expected to project a notable CAGR of 24.9% in 2030.

Predictive Analytics Market to surpass USD 23.4 billion by 2030 from USD 6.9 billion in 2019 at a CAGR of 24.9% throughout the forecast period, i.e., 2020-30. The increase in performance, the reduced risks expected to be taken due to the ability to make more well-informed decisions with the aid of predictive analytics, and the improvement in customer enhancement are factors that have a positive effect on the market. The rapid developments in technology, the boom in artificial intelligence, and the high level of competition have led to this market's growth. The other drivers for the rapid growth of markets for predictive analysis include increased organizational use of Big Data and cloud and an increasing need for product differentiation that drives the launch and adoption of new technologies.

Predictive Analytics Market: Segments

Large enterprises segment to grow with the highest CAGR during 2020-30

Predictive Analytics Market is segmented by organization size as SMEs and large enterprises. The greater market share in 2019 was accounted for by the Large enterprises' segment since predictive analytics tools are increasingly being implemented to forecast future patterns by using available historical data. Based on predictive performance, major companies are now planning their potential market plans. Besides, predictive analysis of large historical data gives companies a strategic advantage and allows them to improve their overall performance accordingly. Due to the higher adoption of cloud technologies and predictive analytics by small and medium-sized companies, the small and medium-sized business segment is expected to register the highest CAGR, contributing significantly to the growth of the segment. Such businesses need predictive analytics tools to boost their organizational efficiency by reducing total operating costs.

The Retail and eCommerce to grow with the highest CAGR during 2020-30

Predictive Analytics Market is segmented by vertical into BFSI, Retail and eCommerce, Telecommunications and IT, Energy, and Utilities, healthcare, Government and defense, Manufacturing and others. During the projected period the BFSI segment is projected to hold the largest market share. This can be attributed to the rising adoption by leading organizations operating in the BFSI vertical of advanced financial analytics solutions due to improved regulatory enforcement processes. The regulatory environment has become increasingly complex across the globe, which is why the market for vertical BFSI predictive analytics solutions is expected to rise over the forecast period. Besides, the implementation of technologies for predictive analytics enables BFSI businesses to experience digital transformation. It is expected that the retail and e-commerce segment will record the highest growth in the global market. Customer propensity towards a customized and personalized shopping experience plays a major role in driving demand in the retail and e-commerce market for predictive analytics solutions.

Predictive Analytics Market: Market Dynamics

Drivers

Increasing Adoption of Business Analytics and Business Intelligence

In order to create smarter, real-time, and fact-based decisions, businesses are interested in deriving insights from collected data. The introduction of big data and related technology has accelerated this need for in-depth expertise. The rapid growth in data volume is due to the worldwide expansion of corporations, driving the increase in data volumes and sources. Instead of blended solutions, businesses tend to have standalone solutions. This inevitably raises the number of start-ups in big data analytics, driving notable developments. Predictive analytics helps companies, by turning information into intelligence, to meet stakeholder expectations, manage data volumes, manage risks, enhance process controls, and boost administrative efficiency. In order to allow an efficient Intelligent Enterprise (IE) approach, advanced predictive analytics technologies play a critical role, helping to establish a single view across the entire company through the combination of traditional reporting.

Rise in adoption of Big Data technologies

Owing to the increase in the trend of the Internet of Things (IoT), social networking, and multimedia, which has generated a prodigious flow of data, the amount of data collected by the company is constantly growing. Both machine-based and human-generated data have a growth rate that is 10 times higher than traditional business data. Increasing the need for large volumes of structured and unstructured datasets to be collected, processed, and analyzed has led many companies and individuals to implement advanced & big data analytics, which is expected to drive market development. Besides, investment in big data will increase due to the vast amount of data generated in different verticals of the industry, which will in turn boost the growth of the predictive analytics market.

Restrain

Scarcity of skilled labor and cost complexity of software

The lack of trained professionals with adequate knowledge of the functioning of predictive analytics which, however, restricts market development. For this market, there are several limiting variables that are described as complex analytical workflows and a variety of data models based on business needs. It has a heap of problems to address in order for predictive analysis to work effectively. First of all, the trend found from which observations are made cannot always be consistent. Various market models follow distinct trends. Understanding each trend and predicting the outcome accordingly is one of the challenges. The goal is to turn the inconsistency into a coherent outcome. Besides, data privacy presents a greater challenge in applying this technology in multiple end-user verticals.

Predictive Analytics Market: Key Players

Alteryx, Inc

Company Overview, Business Strategy, Key Product Offerings, Financial Performance, Key Performance Indicators, Risk Analysis, Recent Development, Regional Presence, and SWOT Analysis.

Fair Isaac Corporation

Information Builders

International Business Machines Corporation

KNIME

Microsoft Corporation

Oracle Corporation

SAP SE

SAS Institute Inc.

TIBCO Software Inc

Predictive Analytics Market: Regions

Predictive Analytics Market is segmented based on regional analysis into five major regions. These include North America, Latin America, Europe, APAC, and MENA.

Predictive Analytics Market in North America held the largest market share of XX.X% in the year 2019 and it is expected to continue its market dominance in the future owing to technological innovations and a strong presence, particularly in the United States, of market players. Besides, funding given to potential entrants by venture capitalists is expected to alleviate market competition. For existing players, increasing advances in techniques and methods involved in the production of predictive analytics solutions are expected to be key opportunities. Due to the commercialization of IoT technology and the growing adoption of advanced technologies across countries such as China, Japan, and ANZ, the Asia Pacific (APAC) is expected to rise at the highest CAGR during the forecast era. The increased internet penetration in the area offers companies tremendous opportunities to gain insights into consumer tastes, contributing to the adoption of APAC predictive analytics systems.

Competitive Landscape:

The predictive analytics market, which is highly competitive, consists of several major players such as Microsoft (US), IBM (US), SAS Institute (US), SAP SE (Germany), Oracle (US), Google (US), Salesforce (US), Amazon Web Services (US) hold a substantial market share in the Predictive Analytics market. Other players analyzed in this report are Hewlett Packard Enterprise (US), Teradata (US), Alteryx (US), Altair (US), FICO (US), Domo (US), Cloudera (US), Board International (Switzerland), TIBCO Software (US), Hitachi Vantara (US), Happiest Minds (India), Dataiku (US), Qlik (US), RapidMiner (US), ibi (US), Infor (US), Biofourmis (US), In-Med Prognostics (US), Aito.ai (Finland), Symend (US), Onward Health (India), Unioncrate (US), CyberLabs (Brazil), Actify Data Labs (India), Amigo Labs (India), Verimos (US) among others.

The market competition has been stepped up by the availability of many players offering Predictive Analytics. For Instance, In September 2020, Board International signed a strategic partnership with a Singapore-based global IT consultancy firm, Delaware. The strategic partnership would enhance both parties’ capabilities to drive digital transformation in customers’ business-wide decision-making processes.

Predictive Analytics Market is further segmented by region into:

North America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United States and Canada

Latin America Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – Mexico, Argentina, Brazil, and Rest of Latin America

Europe Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – United Kingdom, France, Germany, Italy, Spain, Belgium, Hungary, Luxembourg, Netherlands, Poland, NORDIC, Russia, Turkey, and Rest of Europe

APAC Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – India, China, South Korea, Japan, Malaysia, Indonesia, New Zealand, Australia, and Rest of APAC

MENA Market Size, Share, Trends, Opportunities, Y-o-Y Growth, CAGR – North Africa, Israel, GCC, South Africa, and Rest of MENA

Predictive Analytics Market report also contains analysis on:

Predictive Analytics Market Segments:

By Component:

Solutions

Financial analytics

Risk analytics

Marketing analytics

Sales analytics

Customer analytics

Web and social media analytics

Supply chain analytics

Network analytics

Others

Services

Managed Services

Professional Services

Deployment and Integration

Consulting

By Deployment Mode:

On-premises

Cloud

By Organization Size:

Large Enterprises

Small and Medium-sized Enterprises (SMEs)

By Vertical:

BFSI

Retail and eCommerce

Manufacturing

Government and Defense

Healthcare and Life Sciences

Energy and Utilities

Transportation and Logistics

Telecommunications and IT

Others

Predictive Analytics Market Dynamics

Predictive Analytics Market Size

Supply & Demand

Current Trends/Issues/Challenges

Competition & Companies Involved in the Market

Value Chain of the Market

Market Drivers and Restraints

FAQs on Predictive Analytics Market

Which segment is anticipated to hold the largest market share

At what CAGR is the market anticipated to grow between 2020 and 2030

Who are the key players in the Predictive Analytics Market

What could be the challenging factors in the growth of Predictive Analytics Market

What are the growth drivers for the Predictive Analytics Market

Contents

1. Executive Summary

2. Predictive Analytics Market

2.1. Product Overview

2.2. Market Definition

2.3. Segmentation

2.4. Assumptions and Acronyms

3. Research Methodology

3.1. Research Objectives

3.2. Primary Research

3.3. Secondary Research

3.4. Forecast Model

3.5. Market Size Estimation

4. Average Pricing Analysis

5. Macro-Economic Indicators

6. Market Dynamics

6.1. Growth Drivers

6.2. Restraints

6.3. Opportunity

6.4. Trends

7. Correlation & Regression Analysis

7.1. Correlation Matrix

7.2. Regression Matrix

8. Recent Development, Policies & Regulatory Landscape

9. Risk Analysis

9.1. Demand Risk Analysis

9.2. Supply Risk Analysis

10. Predictive Analytics Analysis

10.1. Porters Five Forces

10.1.1. Threat of New Entrants

10.1.2. Bargaining Power of Suppliers

10.1.3. Threat of Substitutes

10.1.4. Rivalry

10.2. PEST Analysis

10.2.1. Political

10.2.2. Economic

10.2.3. Social

10.2.4. Technological

11. Predictive Analytics Market

11.1. Market Size & forecast, 2019A-2030F

11.1.1. By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

11.1.2. By Volume (Million Units) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12. Predictive Analytics: Market Segmentation

12.1. By Regions

12.1.1. North America:

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.1.2. Europe:

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.1.3. Asia-Pacific:

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.1.4. MEA:

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.1.5. Latin America:

• By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.2. By Component: Market Share (2020-2030F)

12.2.1. Solutions, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.2.2. Services, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.3 By Organization Size: Market Share (2020-2030F)

12.3.1. Large Enterprises, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.3.2. SMEs, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4 By Deployment mode: Market Share (2020-2030F)

12.4.1. Cloud, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4.2. On-premises, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.5 By Vertical: Market Share (2020-2030F)

12.5.1. BFSI, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.5.2. Government and defense, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.5.3. Healthcare, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4.4. Manufacturing, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.5.5. Retail and eCommerce, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.5.6. Telecommunications and IT, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4.7. Energy and Utilities, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4.8. Transportation and Logistics, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

12.4.8. Others, By Value (USD Million) 2019-2030F; Y-o-Y Growth (%) 2020-2030F

13. Company Profile

13.1.1. Fair Isaac Corporation

13.1.2. Company Overview

13.1.3. Company Total Revenue (Financials)

13.1.4. Market Potential

13.1.5. Global Presence

13.1.6. Key Performance Indicators

13.1.7. SWOT Analysis

13.1.8. Product Launch

13.2. Alteryx, Inc.

13.3. Information Builders

13.4. International Business Machines Corporation

13.5. KNIME

13.6. Microsoft Corporation

13.7. Oracle Corporation

13.8. SAP SE

13.9. SAS Institute Inc.

13.10. TIBCO Software Inc.

14 Consultant Recommendation

**The above given segmentations and companies could be subjected to further modification based on in-depth feasibility studies conducted for the final deliverable.

Methodology/Research Approach

This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.

Research Programs/Design

Historical Data (2015-2019)	Industry Trends Competitive Landscape By Company Expansion Mergers and Acquisitions Market Segment by Type by Application By Regions/ Geography	Value Status and Outlook Value for Major Players Market Share Growth Rate Present Situation Analysis Value Market Share Growth Rate Present Situation Analysis
Influencing Factors	Market Environment Government Policy Technological Changes Market Risks	Market Drivers Growing Demand of Downstream Reduction in Cost
Market Forecast (2021-2026)	Overall Size by Type by Application By Regions/Geography	Key Data (Value) Market Share Growth Rate CAGR (2021-2026)

Market Size Estimation

Top-down and bottom-up approaches are used to validate the global Voluntary Carbon Offset market size market and estimate the market size for Company, regions segments, product segments and Application (end users).

The market estimations in this report are based on the marketed sale price of Voluntary Carbon Offset (excluding any discounts provided by the player, distributor, wholesaler or traders). The percentage splits, market share, and breakdowns of the product segments are derived on the basis of weights assigned to each of the segments on the basis of their utilization rate and average sale price. The regional splits of the overall Voluntary Carbon Offset market and its sub-segments are based on the percentage adoption or utilization of the given product in the respective region or country.

Major Company in the market is identified through secondary research and their market revenues determined through primary and secondary research. Secondary research included the research of the annual and financial reports of the top Company; whereas, primary research included extensive interviews of key opinion leaders and industry experts such as experienced front-line staff, directors, CEOs and marketing executives. The percentage splits, market share, Growth Rate and breakdowns of the product markets are determined through using secondary sources and verified through the primary sources.

All possible factors that influence the markets included in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analyzed to get the final quantitative and qualitative data. The market size for top-level markets and sub-segments is normalized, and the effect of inflation, economic downturns, and regulatory & policy changes or other factors are not accounted for in the market forecast. This data is combined and added with detailed inputs and analysis from Market Intellix and presented in this report

The following figure shows an illustrative representation of the overall market size estimation process used for this study.

Market Breakdown and Data Triangulation

After complete market engineering with calculations for market statistics; market size estimations; market forecasting; market breakdown; and data triangulation, extensive primary research was conducted to gather information and verify and validate the critical numbers arrived at. In the complete market engineering process, both top-down and bottom-up approaches were extensively used, along with several data triangulation methods, to perform market estimation and market forecasting for the overall market segments and sub-segments listed in this report. Extensive qualitative and further quantitative analysis is also done from all the numbers arrived at in the complete market engineering process to list key information throughout the report.

Data Source

Secondary Sources

Secondary sources include such as press releases, annual reports, non-profit organizations, industry associations, governmental agencies and customs data, etc. This research study involves the usage of widespread secondary sources, directories, databases such as Bloomberg Business, Wind Info, Hoovers, Factiva (Dow Jones & Company), and TRADING ECONOMICS, and News Network, statista, Federal Reserve Economic Data, annual reports, BIS Statistics, ICIS; company house documents; CAS(American Chemical Society); investor presentations; and SEC filings of companies. Secondary research was used to identify and collect information useful for the extensive, technical, market-oriented, and Hospitals study of the Voluntary Carbon Offset market. It was also used to obtain important information about the top companies, market classification and segmentation according to industry trends to the bottom-most level, and key developments related to market and technology perspectives.

Market Size	Segmental value Geographic Penetration Product Adoption Rate for Different market	Journals, Websites, and Press Releases Annual Reports and SEC Filings Company Websites and Press Releases Public and Paid Databases Market Intellix Data Repository
Market Position of Top Company	Product Financials Geographic value Mix Total Company value Business/Segmental value Mix
Qualitative Analysis	Influence Factors Market Potential Market Risks and Opportunities Industry Trends Geographical Features Government Policies	Company Websites and Press Releases Public and Paid Databases Annual Reports Industry Associations Market Intellix Data Repository

Primary Sources

In the primary research process, various sources from both the supply and demand sides were interviewed to obtain qualitative and quantitative information for this report. The primary sources from the supply side include product Company (and their competitors), opinion leaders, industry experts, research institutions, distributors, dealer and traders, as well as the raw materials suppliers and producers, etc.

The primary sources from the demand side include industry experts such as business leaders, marketing and sales directors, technology and innovation directors, supply chain executive, end use (product buyers), and related key executives from various key companies and organizations operating in the global market.

Primary research was conducted to identify segmentation Type, product price range, product Application, key Company, raw materials supply and the downstream demand, industry status and outlook, and key market dynamics such as risks, influence factors, opportunities, market barriers, industry trends, and key player strategies.

Key Executives Interviewed

Key Data Information from Primary Sources

Primary Sources	Parameters	Key Data
Market Segments(by Application, by Type)	Value by Type Status and Forecast Value by Application Value by Regions, Status and Forecast (2021-2026)	Value Market Share by Type Value Growth Rate by Type Value by Application Percentage and Growth Rate by Application Value Growth Rate and Market Share by Regions Market Size Status and Forecast (2021-2026)
Total Market	Overall Size, Status and Forecast	Market Size Status and Forecast (2021-2026)