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Global prescriptive analytics market to reach USD 18 billion by 2027.

Global Prescriptive Analytics Market Size study, by Component (Software, Services), by Deployment Mode (Cloud, On-premises), by Organization Size (Small and Medium-Sized Enterprises, Large Enterprises), by Application (Risk Management, Operation Management, Revenue Management, Network Management, Workforce Management, Supply Chain Management, Others), by Business Function (HR, Sales, Marketing, Finance, Operations), by Data Type (Unstructured, Semi-Structured, Structured), by Vertical (BFSI, Retail and eCommerce, Media and Entertainment, Manufacturing, Travel and Hospitality, Energy and Utilities, Telecom and IT, Transportation and Logistics, Healthcare and Life Sciences, Government and Defense, Others), and Regional Forecasts 2021-2027

Product Code: ICTICTS-26995602
Publish Date: 30-11-2021
Page: 200

Global Prescriptive Analytics market is valued approximately at USD 4 billion in 2020 and is anticipated to grow with a healthy growth rate of about 24.0% over the forecast period 2021-2027. Prescriptive analytics is a data analysis technique type which offers context-customized information and predictions. The technique is adopted to support more effective decision making which is based on different ideas when business decision makers predict and analyze complex situations. The global prescriptive analytics market is being driven by emergence of advanced technologies, such as big data and IoT and rise in popularity of real-time accessibility of data for efficient business operations. Furthermore, rise in cyber-crimes and need for crime prediction and prevention will provide new opportunities for the global prescriptive analytics industry. In addition, market players across the globe are undertaking a range of strategic initiatives which is expected to promote the market growth. For instance, in 2021, Infor unveiled next generation of hospitality management solution which puts mobile capabilities to achieve exceptional personalized guest services. Also, in 2021, Sisense unveiled the latest Sisense Q2 2021 which assists organizations to develop explore latest features, extensible insights, explore additional dimensions with Sisense Explanations. Such factors are expected to promote the market growth. However, complex analytical workflow may impede market growth over the forecast period of 2021-2027.

The regional analysis of the global prescriptive analytics market is considered for the key regions such as Asia Pacific, North America, Europe, Latin America, and Rest of the World. North America accounts for the largest share in terms of market revenue in the global prescriptive analytics market over the forecast period 2021-2027. Factors such as early and rapid adoption of new and advanced technologies, presence of majority of the key market players, technological advancements and developments, etc. contribute towards the largest market share of the region in the forecast years.

Major market player included in this report are:
SAS Institute

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming eight years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within each of the regions and countries involved in the study. Furthermore, the report also caters the detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, the report shall also incorporate available opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Component:
By Deployment Mode:
By Organization Size:
Small and Medium-Sized Enterprises
Large Enterprises
By Application:
Risk Management
Operation Management
Revenue Management
Network Management
Workforce Management
Supply Chain Management
By Business Function:
By Data Type:
By Vertical:
Retail and eCommerce
Media and Entertainment
Travel and Hospitality
Energy and Utilities
Telecom and IT
Transportation and Logistics
Healthcare and Life Sciences
Government and Defense
By Region:
North America

Asia Pacific
South Korea
Latin America
Rest of the World

Furthermore, years considered for the study are as follows:

Historical year – 2018, 2019
Base year – 2020
Forecast period – 2021 to 2027.

Target Audience of the Global Prescriptive Analytics Market in Market Study:

Key Consulting Companies & Advisors
Large, medium-sized, and small enterprises
Venture capitalists
Value-Added Resellers (VARs)
Third-party knowledge providers
Investment bankers

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2027 (USD Billion)
1.2.1. Prescriptive Analytics Market, by Region, 2019-2027 (USD Billion)
1.2.2. Prescriptive Analytics Market, by Component, 2019-2027 (USD Billion)
1.2.3. Prescriptive Analytics Market, by Deployment Mode, 2019-2027 (USD Billion)
1.2.4. Prescriptive Analytics Market, by Organization Size, 2019-2027 (USD Billion)
1.2.5. Prescriptive Analytics Market, by Application, 2019-2027 (USD Billion)
1.2.6. Prescriptive Analytics Market, by Business Function, 2019-2027 (USD Billion)
1.2.7. Prescriptive Analytics Market, by Data Type, 2019-2027 (USD Billion)
1.2.8. Prescriptive Analytics Market, by Vertical, 2019-2027 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Prescriptive Analytics Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Prescriptive Analytics Market Dynamics
3.1. Prescriptive Analytics Market Impact Analysis (2019-2027)
3.1.1. Market Drivers Emergence of advanced technologies, such as big data and IoT Rise in popularity of real-time accessibility of data for efficient business operations
3.1.2. Market Restraint Complex analytical workflow
3.1.3. Market Opportunities Rise in cyber-crimes and need for crime prediction and prevention
Chapter 4. Global Prescriptive Analytics Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.1.6. Futuristic Approach to Porter’s 5 Force Model (2018-2027)
4.2. PEST Analysis
4.2.1. Political
4.2.2. Economical
4.2.3. Social
4.2.4. Technological
4.3. Investment Adoption Model
4.4. Analyst Recommendation & Conclusion
Chapter 5. Global Prescriptive Analytics Market, by Component
5.1. Market Snapshot
5.2. Global Prescriptive Analytics Market by Component, Performance – Potential Analysis
5.3. Global Prescriptive Analytics Market Estimates & Forecasts by Component 2018-2027 (USD Billion)
5.4. Prescriptive Analytics Market, Sub Segment Analysis
5.4.1. Software
5.4.2. Services
Chapter 6. Global Prescriptive Analytics Market, by Deployment Mode
6.1. Market Snapshot
6.2. Global Prescriptive Analytics Market by Deployment Mode, Performance – Potential Analysis
6.3. Global Prescriptive Analytics Market Estimates & Forecasts by Deployment Mode 2018-2027 (USD Billion)
6.4. Prescriptive Analytics Market, Sub Segment Analysis
6.4.1. Cloud
6.4.2. On-premises
Chapter 7. Global Prescriptive Analytics Market, by Organization Size
7.1. Market Snapshot
7.2. Global Prescriptive Analytics Market by Organization Size, Performance – Potential Analysis
7.3. Global Prescriptive Analytics Market Estimates & Forecasts by Organization Size 2018-2027 (USD Billion)
7.4. Prescriptive Analytics Market, Sub Segment Analysis
7.4.1. Small and Medium-Sized Enterprises
7.4.2. Large Enterprises
Chapter 8. Global Prescriptive Analytics Market, by Application
8.1. Market Snapshot
8.2. Global Prescriptive Analytics Market by Application, Performance – Potential Analysis
8.3. Global Prescriptive Analytics Market Estimates & Forecasts by Application 2018-2027 (USD Billion)
8.4. Prescriptive Analytics Market, Sub Segment Analysis
8.4.1. Risk Management
8.4.2. Operation Management
8.4.3. Revenue Management
8.4.4. Network Management
8.4.5. Workforce Management
8.4.6. Supply Chain Management
8.4.7. Others
Chapter 9. Global Prescriptive Analytics Market, by Business Function
9.1. Market Snapshot
9.2. Global Prescriptive Analytics Market by Business Function, Performance – Potential Analysis
9.3. Global Prescriptive Analytics Market Estimates & Forecasts by Business Function 2018-2027 (USD Billion)
9.4. Prescriptive Analytics Market, Sub Segment Analysis
9.4.1. HR
9.4.2. Sales
9.4.3. Marketing
9.4.4. Finance
9.4.5. Operations
Chapter 10. Global Prescriptive Analytics Market, by Data Type
10.1. Market Snapshot
10.2. Global Prescriptive Analytics Market by Data Type, Performance – Potential Analysis
10.3. Global Prescriptive Analytics Market Estimates & Forecasts by Data Type 2018-2027 (USD Billion)
10.4. Prescriptive Analytics Market, Sub Segment Analysis
10.4.1. Unstructured
10.4.2. Semi-Structured
10.4.3. Structured
Chapter 11. Global Prescriptive Analytics Market, by Vertical
11.1. Market Snapshot
11.2. Global Prescriptive Analytics Market by Vertical, Performance – Potential Analysis
11.3. Global Prescriptive Analytics Market Estimates & Forecasts by Vertical 2018-2027 (USD Billion)
11.4. Prescriptive Analytics Market, Sub Segment Analysis
11.4.1. BFSI
11.4.2. Retail and eCommerce
11.4.3. Media and Entertainment
11.4.4. Manufacturing
11.4.5. Travel and Hospitality
11.4.6. Energy and Utilities
11.4.7. Telecom and IT
11.4.8. Transportation and Logistics
11.4.9. Healthcare and Life Sciences
11.4.10. Government and Defense
11.4.11. Others
Chapter 12. Global Prescriptive Analytics Market, Regional Analysis
12.1. Prescriptive Analytics Market, Regional Market Snapshot
12.2. North America Prescriptive Analytics Market
12.2.1. U.S. Prescriptive Analytics Market Component breakdown estimates & forecasts, 2018-2027 Deployment Mode breakdown estimates & forecasts, 2018-2027 Organization Size breakdown estimates & forecasts, 2018-2027 Application breakdown estimates & forecasts, 2018-2027 Business Function breakdown estimates & forecasts, 2018-2027 Data Type breakdown estimates & forecasts, 2018-2027 Vertical breakdown estimates & forecasts, 2018-2027
12.2.2. Canada Prescriptive Analytics Market
12.3. Europe Prescriptive Analytics Market Snapshot
12.3.1. U.K. Prescriptive Analytics Market
12.3.2. Germany Prescriptive Analytics Market
12.3.3. France Prescriptive Analytics Market
12.3.4. Spain Prescriptive Analytics Market
12.3.5. Italy Prescriptive Analytics Market
12.3.6. Rest of Europe Prescriptive Analytics Market
12.4. Asia-Pacific Prescriptive Analytics Market Snapshot
12.4.1. China Prescriptive Analytics Market
12.4.2. India Prescriptive Analytics Market
12.4.3. Japan Prescriptive Analytics Market
12.4.4. Australia Prescriptive Analytics Market
12.4.5. South Korea Prescriptive Analytics Market
12.4.6. Rest of Asia Pacific Prescriptive Analytics Market
12.5. Latin America Prescriptive Analytics Market Snapshot
12.5.1. Brazil Prescriptive Analytics Market
12.5.2. Mexico Prescriptive Analytics Market
12.6. Rest of The World Prescriptive Analytics Market
Chapter 13. Competitive Intelligence
13.1. Top Market Strategies
13.2. Company Profiles
13.2.1. IBM Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
13.2.2. Microsoft
13.2.3. Salesforce
13.2.4. SAP
13.2.5. SAS Institute
13.2.6. Talend
13.2.7. FICO
13.2.8. Ayata
13.2.9. Altair
13.2.10. Alteryx
Chapter 14. Research Process
14.1. Research Process
14.1.1. Data Mining
14.1.2. Analysis
14.1.3. Market Estimation
14.1.4. Validation
14.1.5. Publishing
14.2. Research Attributes
14.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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