Predictive Analytics Market: Market Segments: By Component (Solution and Services); By Organization Size (Large Enterprises, and Small and Medium-sized Enterprises (SMEs)); By Deployment Model (On-premises and Cloud); By Vertical (BFSI, Retail and eCommerce, Government and defense, Telecommunications and IT, Healthcare, Energy and Utilities and Others); and Region – Global Analysis by Market Size, Share & Trends for 2014 – 2020 and Forecasts to 2030
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.
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.
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 by 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.
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.
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, restrict 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.
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. In addition, 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.
Predictive Analytics Market report also contains analysis on:
Predictive Analytics Market Segments:
By Component:
• Solutions
o Financial analytics
o Risk analytics
o Marketing analytics
o Sales analytics
o Customer analytics
o Web and social media analytics
o Supply chain analytics
o Network analytics
o Others
• Services
o Managed Services
o 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) |
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Influencing Factors |
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Market Forecast (2021-2026) |
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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.
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Qualitative Analysis |
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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 |
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Total Market |
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