Market Overview:
The global predictive analysis software market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The growth in this market can be attributed to the increasing demand for big data and analytics solutions, rising adoption of cloud-based predictive analysis software, and growing need for real-time decision making. On the basis of type, the global predictive analysis software market is segmented into cloud-based and on-premise. The cloud-based segment is expected to grow at a higher CAGR than the on-premise segment during the forecast period from 2018 to 2030. This can be attributed to the growing trend of moving business applications and processes to cloud environments, which helps organizations reduce costs and improve efficiency. Based on application, the global predictive analysis software market is divided into large enterprise and SMEs segments.
Product Definition:
Predictive analysis software is used to make predictions about future events, trends, and behaviors. The software can be used to predict outcomes for individual customers or groups of customers. It can also be used to predict the likelihood of a given event occurring, such as a customer churning or buying a product.
Cloud Based:
Cloud-based software is a type of software service that provides functionality to multiple computers and devices over the internet. It's an on-demand subscription model that allows users to use the software services without having to purchase, install, or maintain it locally. The cloud based predictive analysis software industry has witnessed significant growth in recent years owing to its cost effectiveness and ease of use.
On-Premise:
On-premise software is a type of software that is installed and used directly by the end-users or companies. The software can be installed on computers within an organization or on cloud servers outside the organization. On-premise solutions are preferred by large organizations as they have high computing needs, due to which they opt for in house installation of solutions over third party providers.
Application Insights:
The large enterprise segment dominated the market in 2017. Predictive analysis software is widely adopted by large enterprises to improve their decision-making processes and capitalize on emerging opportunities. The adoption of predictive analytics in the financial sector, insurance sector, and banking sectors are some of the early adopters of this technology across various industry verticals.
The small to medium-sized enterprise (SME) segment accounted for a significant share in 2017 as they too have realized that data driven decisions can help them gain an edge over their competitors. SMEs use predictive analysis software to understand consumer behavior, identify new markets or customers, and forecast future events based on historical data patterns which helps them make better business decisions with limited resources at hand. Analytics solutions offered by vendors such as SAS Institute Inc., Microsoft Corporation.
Regional Analysis:
North America dominated the global market in 2017. The growth can be attributed to the presence of major players, such as SAS Institute; SPSS Inc.; and Microsoft Corporation. Moreover, increasing investments by governments for data analytics is also expected to drive regional growth over the forecast period. For instance, according to a white paper published by PwC in 2016, public sector organizations (PSO) accounted for more than 50% of all federal IT spending and 40% of total government IT spending was on cloud computing initiatives.
Asia Pacific is expected to witness significant growth over the next eight years owing to increasing adoption Predictive Analysis Software By Application (Predictive Modeling & Forecasting; Data Science; Business Analytics). Furthermore, growing penetration of internet users and rapid technological advancements are some other factors driving regional demand for predictive analysis software solutions In India with companies like HCL Technologies Ltd., Infosys Ltd., Cognizant Technology Solutions Pvt Ltd.
Growth Factors:
- Increasing demand for big data and analytics: The need for organizations to effectively manage and analyze large amounts of data is fueling the demand for predictive analysis software.
- Proliferation of smart devices and the Internet of Things (IoT): The growing number of smart devices and the increasing deployment of IoT are generating huge volumes of data that can be analyzed using predictive analysis software to obtain actionable insights.
- Growing popularity of cloud-based solutions: Cloud-based solutions offer several advantages such as scalability, flexibility, and cost-effectiveness, which is making them increasingly popular among businesses. This is benefiting the growth prospects of the predictive analysis software market.
- Rising focus on business intelligence (BI) and big data: Organizations are increasingly focusing on BI and big data initiatives in order to gain a competitive edge by extracting valuable insights from their massive stores of data. This is providing a major impetus to the growth prospectsofthe predictive analysis software market . 5
Scope Of The Report
Report Attributes
Report Details
Report Title
Predictive Analysis Software Market Research Report
By Type
Cloud Based, On-Premise
By Application
Large Enterprise, SMEs
By Companies
Sisense, Microsoft, Oracle, IBM, Minitab, Alteryx, SAS, Anaconda, TIBCO Software, RapidMiner, KNIME, DataRobot, Dataiku, FICO, GoodData, Radius Intelligence, Buxton
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
155
Number of Tables & Figures
109
Customization Available
Yes, the report can be customized as per your need.
Global Predictive Analysis Software Market Report Segments:
The global Predictive Analysis Software market is segmented on the basis of:
Types
Cloud Based, On-Premise
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
Large Enterprise, SMEs
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Sisense
- Microsoft
- Oracle
- IBM
- Minitab
- Alteryx
- SAS
- Anaconda
- TIBCO Software
- RapidMiner
- KNIME
- DataRobot
- Dataiku
- FICO
- GoodData
- Radius Intelligence
- Buxton
Highlights of The Predictive Analysis Software Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Cloud Based
- On-Premise
- By Application:
- Large Enterprise
- SMEs
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Predictive Analysis Software Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
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8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Predictive analysis software is a computer program that uses data to make predictions about future events. Predictive analysis can be used for a variety of purposes, including forecasting sales, predicting customer behavior, and predicting the outcome of elections.
Some of the key players operating in the predictive analysis software market are Sisense, Microsoft, Oracle, IBM, Minitab, Alteryx, SAS, Anaconda, TIBCO Software, RapidMiner, KNIME, DataRobot, Dataiku, FICO, GoodData, Radius Intelligence, Buxton.
The predictive analysis software market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Predictive Analysis Software Market Overview 4.1 Introduction 4.1.1 Market Taxonomy 4.1.2 Market Definition 4.1.3 Macro-Economic Factors Impacting the Market Growth 4.2 Predictive Analysis Software Market Dynamics 4.2.1 Market Drivers 4.2.2 Market Restraints 4.2.3 Market Opportunity 4.3 Predictive Analysis Software Market - Supply Chain Analysis 4.3.1 List of Key Suppliers 4.3.2 List of Key Distributors 4.3.3 List of Key Consumers 4.4 Key Forces Shaping the Predictive Analysis Software Market 4.4.1 Bargaining Power of Suppliers 4.4.2 Bargaining Power of Buyers 4.4.3 Threat of Substitution 4.4.4 Threat of New Entrants 4.4.5 Competitive Rivalry 4.5 Global Predictive Analysis Software Market Size & Forecast, 2018-2028 4.5.1 Predictive Analysis Software Market Size and Y-o-Y Growth 4.5.2 Predictive Analysis Software Market Absolute $ Opportunity
Chapter 5 Global Predictive Analysis Software Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Predictive Analysis Software Market Size Forecast by Type
5.2.1 Cloud Based
5.2.2 On-Premise
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Predictive Analysis Software Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Predictive Analysis Software Market Size Forecast by Applications
6.2.1 Large Enterprise
6.2.2 SMEs
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Predictive Analysis Software Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Predictive Analysis Software Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Predictive Analysis Software Analysis and Forecast
9.1 Introduction
9.2 North America Predictive Analysis Software Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Predictive Analysis Software Market Size Forecast by Type
9.6.1 Cloud Based
9.6.2 On-Premise
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Predictive Analysis Software Market Size Forecast by Applications
9.10.1 Large Enterprise
9.10.2 SMEs
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Predictive Analysis Software Analysis and Forecast
10.1 Introduction
10.2 Europe Predictive Analysis Software Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Predictive Analysis Software Market Size Forecast by Type
10.6.1 Cloud Based
10.6.2 On-Premise
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Predictive Analysis Software Market Size Forecast by Applications
10.10.1 Large Enterprise
10.10.2 SMEs
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Predictive Analysis Software Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Predictive Analysis Software Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Predictive Analysis Software Market Size Forecast by Type
11.6.1 Cloud Based
11.6.2 On-Premise
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Predictive Analysis Software Market Size Forecast by Applications
11.10.1 Large Enterprise
11.10.2 SMEs
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Predictive Analysis Software Analysis and Forecast
12.1 Introduction
12.2 Latin America Predictive Analysis Software Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Predictive Analysis Software Market Size Forecast by Type
12.6.1 Cloud Based
12.6.2 On-Premise
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Predictive Analysis Software Market Size Forecast by Applications
12.10.1 Large Enterprise
12.10.2 SMEs
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Predictive Analysis Software Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Predictive Analysis Software Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Predictive Analysis Software Market Size Forecast by Type
13.6.1 Cloud Based
13.6.2 On-Premise
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Predictive Analysis Software Market Size Forecast by Applications
13.10.1 Large Enterprise
13.10.2 SMEs
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Predictive Analysis Software Market: Competitive Dashboard
14.2 Global Predictive Analysis Software Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Sisense
14.3.2 Microsoft
14.3.3 Oracle
14.3.4 IBM
14.3.5 Minitab
14.3.6 Alteryx
14.3.7 SAS
14.3.8 Anaconda
14.3.9 TIBCO Software
14.3.10 RapidMiner
14.3.11 KNIME
14.3.12 DataRobot
14.3.13 Dataiku
14.3.14 FICO
14.3.15 GoodData
14.3.16 Radius Intelligence
14.3.17 Buxton