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Global Predictive Analytics Software Market Research Report 2024
Synopsis
Predictive Analytics are used to analyze current data and historical facts in order to better understand customers, products, and partners. It is also used to identify potential risks and opportunities. Predictive analytics platforms tend to be very complex products and require advanced skill sets in order to use them effectively.
The global Predictive Analytics Software market was valued at US$ 8743 million in 2023 and is anticipated to reach US$ 17670 million by 2030, witnessing a CAGR of 10.6% during the forecast period 2024-2030.
Growth of Big Data: The volume of data generated and collected across enterprises and industries is constantly increasing. This growth is driving the need for powerful predictive analytics software that can effectively process, analyze, and extract meaningful insights from this vast amount of data.
Machine Learning and AI Integration: Machine learning and artificial intelligence are playing a pivotal role in predictive analytics. These technologies enable software to automatically identify patterns, trends, and relationships within data, predict future outcomes, and suggest optimal solutions. As AI and machine learning continue to develop, we can expect more advanced and accurate predictive models to emerge.
Cloud-Based Solutions: Cloud-based predictive analytics software solutions are becoming increasingly popular due to their scalability, flexibility, and cost-efficiency. Cloud-based solutions provide anytime, anywhere access to data and analytics results, reducing the need for on-premise infrastructure.
This report aims to provide a comprehensive presentation of the global market for Predictive Analytics Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Analytics Software.
Report Scope
The Predictive Analytics Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Analytics Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Analytics Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Microsoft
Sisense
Oracle
Minitab
Wolfram
SAS
Anaconda
TIBCO
RapidMiner
KNIME
DataRobot
Dataiku
FICO
GoodData
Radius
Buxton
SAP
Alteryx
Nice
Segment by Type
Cloud Based
On-Premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Analytics Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Predictive Analytics are used to analyze current data and historical facts in order to better understand customers, products, and partners. It is also used to identify potential risks and opportunities. Predictive analytics platforms tend to be very complex products and require advanced skill sets in order to use them effectively.
The global Predictive Analytics Software market was valued at US$ 8743 million in 2023 and is anticipated to reach US$ 17670 million by 2030, witnessing a CAGR of 10.6% during the forecast period 2024-2030.
Growth of Big Data: The volume of data generated and collected across enterprises and industries is constantly increasing. This growth is driving the need for powerful predictive analytics software that can effectively process, analyze, and extract meaningful insights from this vast amount of data.
Machine Learning and AI Integration: Machine learning and artificial intelligence are playing a pivotal role in predictive analytics. These technologies enable software to automatically identify patterns, trends, and relationships within data, predict future outcomes, and suggest optimal solutions. As AI and machine learning continue to develop, we can expect more advanced and accurate predictive models to emerge.
Cloud-Based Solutions: Cloud-based predictive analytics software solutions are becoming increasingly popular due to their scalability, flexibility, and cost-efficiency. Cloud-based solutions provide anytime, anywhere access to data and analytics results, reducing the need for on-premise infrastructure.
This report aims to provide a comprehensive presentation of the global market for Predictive Analytics Software, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Predictive Analytics Software.
Report Scope
The Predictive Analytics Software market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Predictive Analytics Software market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Predictive Analytics Software companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
IBM
Microsoft
Sisense
Oracle
Minitab
Wolfram
SAS
Anaconda
TIBCO
RapidMiner
KNIME
DataRobot
Dataiku
FICO
GoodData
Radius
Buxton
SAP
Alteryx
Nice
Segment by Type
Cloud Based
On-Premise
Segment by Application
Large Enterprises
SMEs
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Predictive Analytics Software companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Predictive Analytics Software Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Cloud Based
1.2.3 On-Premise
1.3 Market by Application
1.3.1 Global Predictive Analytics Software Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Large Enterprises
1.3.3 SMEs
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Predictive Analytics Software Market Perspective (2019-2030)
2.2 Predictive Analytics Software Growth Trends by Region
2.2.1 Global Predictive Analytics Software Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Predictive Analytics Software Historic Market Size by Region (2019-2024)
2.2.3 Predictive Analytics Software Forecasted Market Size by Region (2025-2030)
2.3 Predictive Analytics Software Market Dynamics
2.3.1 Predictive Analytics Software Industry Trends
2.3.2 Predictive Analytics Software Market Drivers
2.3.3 Predictive Analytics Software Market Challenges
2.3.4 Predictive Analytics Software Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Predictive Analytics Software Players by Revenue
3.1.1 Global Top Predictive Analytics Software Players by Revenue (2019-2024)
3.1.2 Global Predictive Analytics Software Revenue Market Share by Players (2019-2024)
3.2 Global Predictive Analytics Software Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Predictive Analytics Software Revenue
3.4 Global Predictive Analytics Software Market Concentration Ratio
3.4.1 Global Predictive Analytics Software Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Predictive Analytics Software Revenue in 2023
3.5 Predictive Analytics Software Key Players Head office and Area Served
3.6 Key Players Predictive Analytics Software Product Solution and Service
3.7 Date of Enter into Predictive Analytics Software Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Predictive Analytics Software Breakdown Data by Type
4.1 Global Predictive Analytics Software Historic Market Size by Type (2019-2024)
4.2 Global Predictive Analytics Software Forecasted Market Size by Type (2025-2030)
5 Predictive Analytics Software Breakdown Data by Application
5.1 Global Predictive Analytics Software Historic Market Size by Application (2019-2024)
5.2 Global Predictive Analytics Software Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Predictive Analytics Software Market Size (2019-2030)
6.2 North America Predictive Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Predictive Analytics Software Market Size by Country (2019-2024)
6.4 North America Predictive Analytics Software Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Predictive Analytics Software Market Size (2019-2030)
7.2 Europe Predictive Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Predictive Analytics Software Market Size by Country (2019-2024)
7.4 Europe Predictive Analytics Software Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Predictive Analytics Software Market Size (2019-2030)
8.2 Asia-Pacific Predictive Analytics Software Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Predictive Analytics Software Market Size by Region (2019-2024)
8.4 Asia-Pacific Predictive Analytics Software Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Predictive Analytics Software Market Size (2019-2030)
9.2 Latin America Predictive Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Predictive Analytics Software Market Size by Country (2019-2024)
9.4 Latin America Predictive Analytics Software Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Predictive Analytics Software Market Size (2019-2030)
10.2 Middle East & Africa Predictive Analytics Software Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Predictive Analytics Software Market Size by Country (2019-2024)
10.4 Middle East & Africa Predictive Analytics Software Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 IBM
11.1.1 IBM Company Detail
11.1.2 IBM Business Overview
11.1.3 IBM Predictive Analytics Software Introduction
11.1.4 IBM Revenue in Predictive Analytics Software Business (2019-2024)
11.1.5 IBM Recent Development
11.2 Microsoft
11.2.1 Microsoft Company Detail
11.2.2 Microsoft Business Overview
11.2.3 Microsoft Predictive Analytics Software Introduction
11.2.4 Microsoft Revenue in Predictive Analytics Software Business (2019-2024)
11.2.5 Microsoft Recent Development
11.3 Sisense
11.3.1 Sisense Company Detail
11.3.2 Sisense Business Overview
11.3.3 Sisense Predictive Analytics Software Introduction
11.3.4 Sisense Revenue in Predictive Analytics Software Business (2019-2024)
11.3.5 Sisense Recent Development
11.4 Oracle
11.4.1 Oracle Company Detail
11.4.2 Oracle Business Overview
11.4.3 Oracle Predictive Analytics Software Introduction
11.4.4 Oracle Revenue in Predictive Analytics Software Business (2019-2024)
11.4.5 Oracle Recent Development
11.5 Minitab
11.5.1 Minitab Company Detail
11.5.2 Minitab Business Overview
11.5.3 Minitab Predictive Analytics Software Introduction
11.5.4 Minitab Revenue in Predictive Analytics Software Business (2019-2024)
11.5.5 Minitab Recent Development
11.6 Wolfram
11.6.1 Wolfram Company Detail
11.6.2 Wolfram Business Overview
11.6.3 Wolfram Predictive Analytics Software Introduction
11.6.4 Wolfram Revenue in Predictive Analytics Software Business (2019-2024)
11.6.5 Wolfram Recent Development
11.7 SAS
11.7.1 SAS Company Detail
11.7.2 SAS Business Overview
11.7.3 SAS Predictive Analytics Software Introduction
11.7.4 SAS Revenue in Predictive Analytics Software Business (2019-2024)
11.7.5 SAS Recent Development
11.8 Anaconda
11.8.1 Anaconda Company Detail
11.8.2 Anaconda Business Overview
11.8.3 Anaconda Predictive Analytics Software Introduction
11.8.4 Anaconda Revenue in Predictive Analytics Software Business (2019-2024)
11.8.5 Anaconda Recent Development
11.9 TIBCO
11.9.1 TIBCO Company Detail
11.9.2 TIBCO Business Overview
11.9.3 TIBCO Predictive Analytics Software Introduction
11.9.4 TIBCO Revenue in Predictive Analytics Software Business (2019-2024)
11.9.5 TIBCO Recent Development
11.10 RapidMiner
11.10.1 RapidMiner Company Detail
11.10.2 RapidMiner Business Overview
11.10.3 RapidMiner Predictive Analytics Software Introduction
11.10.4 RapidMiner Revenue in Predictive Analytics Software Business (2019-2024)
11.10.5 RapidMiner Recent Development
11.11 KNIME
11.11.1 KNIME Company Detail
11.11.2 KNIME Business Overview
11.11.3 KNIME Predictive Analytics Software Introduction
11.11.4 KNIME Revenue in Predictive Analytics Software Business (2019-2024)
11.11.5 KNIME Recent Development
11.12 DataRobot
11.12.1 DataRobot Company Detail
11.12.2 DataRobot Business Overview
11.12.3 DataRobot Predictive Analytics Software Introduction
11.12.4 DataRobot Revenue in Predictive Analytics Software Business (2019-2024)
11.12.5 DataRobot Recent Development
11.13 Dataiku
11.13.1 Dataiku Company Detail
11.13.2 Dataiku Business Overview
11.13.3 Dataiku Predictive Analytics Software Introduction
11.13.4 Dataiku Revenue in Predictive Analytics Software Business (2019-2024)
11.13.5 Dataiku Recent Development
11.14 FICO
11.14.1 FICO Company Detail
11.14.2 FICO Business Overview
11.14.3 FICO Predictive Analytics Software Introduction
11.14.4 FICO Revenue in Predictive Analytics Software Business (2019-2024)
11.14.5 FICO Recent Development
11.15 GoodData
11.15.1 GoodData Company Detail
11.15.2 GoodData Business Overview
11.15.3 GoodData Predictive Analytics Software Introduction
11.15.4 GoodData Revenue in Predictive Analytics Software Business (2019-2024)
11.15.5 GoodData Recent Development
11.16 Radius
11.16.1 Radius Company Detail
11.16.2 Radius Business Overview
11.16.3 Radius Predictive Analytics Software Introduction
11.16.4 Radius Revenue in Predictive Analytics Software Business (2019-2024)
11.16.5 Radius Recent Development
11.17 Buxton
11.17.1 Buxton Company Detail
11.17.2 Buxton Business Overview
11.17.3 Buxton Predictive Analytics Software Introduction
11.17.4 Buxton Revenue in Predictive Analytics Software Business (2019-2024)
11.17.5 Buxton Recent Development
11.18 SAP
11.18.1 SAP Company Detail
11.18.2 SAP Business Overview
11.18.3 SAP Predictive Analytics Software Introduction
11.18.4 SAP Revenue in Predictive Analytics Software Business (2019-2024)
11.18.5 SAP Recent Development
11.19 Alteryx
11.19.1 Alteryx Company Detail
11.19.2 Alteryx Business Overview
11.19.3 Alteryx Predictive Analytics Software Introduction
11.19.4 Alteryx Revenue in Predictive Analytics Software Business (2019-2024)
11.19.5 Alteryx Recent Development
11.20 Nice
11.20.1 Nice Company Detail
11.20.2 Nice Business Overview
11.20.3 Nice Predictive Analytics Software Introduction
11.20.4 Nice Revenue in Predictive Analytics Software Business (2019-2024)
11.20.5 Nice Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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