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Global Predictive Analytics Market Overview
The Global Predictive Analytics Market size is estimated to reach $33.9 billion by 2026, increasing at a CAGR of 20.3% over 2021-2026. Predictive analytics is a set of statistical approaches that evaluate current and historical data to generate predictions about future or otherwise unknown occurrences. It includes data mining, predictive modeling, and machine learning. Credit scoring, which is employed across corporate management, is one of the most well-known applications of the Predictive Analytics Market. Scoring models analyze a client's credit history, loan application, customer data, and other factors to rank-order individuals based on their chance of making future credit payments on time.
Impact of COVID-19 on Predictive Analytics Market:
COVID-19's spread has wreaked havoc on the world's companies, economies, and people's lifestyles, as well as the ways, were taken by corporations to manage their operations. Due to the pandemic, all future analytics initiatives have been put on hold. Several businesses are vying for a single project. Companies have already begun their attempts to return to normalcy, although they face several hurdles due to the pandemic's influence on their client base and operations. The significant obstacles businesses confront are meeting consumer expectations in terms of process optimization and increasing security concerns due to multiple linked networks, increased connection difficulties, and a drop in industrial and manufacturing activities.
Key Takeaways from Global Predictive Analytics Market Report:
By Component, the market for Solutions to grow at the highest CAGR during the forecast period.
By Components, Predictive Analytics Market is segmented into Solutions and Services. Solutions dominated the Predictive Analytics Market in 2020. It is also the fastest-growing, with a CAGR of 21.9% over the forecast period 2021-2026. The Changes are due to the benefits of predictive analytics solutions, which include providing business-critical insights into what may occur in the future established on historical data analysis, consumer behavior insights, and fraud protection. Consumer analytics is likely to lead the market in terms of predictive analytics solution type over the forecast period, owing to the essential to quickly analyze enormous volumes of customer data from numerous sources such as touchpoints and e-commerce sites.
The Asia Pacific to account for the largest market share during the forecast period
North America held the largest share of the Predictive Analytics Market in 2020, with a global market share of 38.4%. Growth is due to technology improvements and a strong presence of market participants, especially in the United States. Furthermore, venture capitalists are expected to reduce market competition by providing funds to new entrants. Established players are expected to benefit from growing developments in methodologies and processes used to create predictive analytics solutions.
The Asia Pacific is set to be the fastest-growing Predictive Analytics Market. Increased implementation and sophisticated predictive analytics solutions may be ascribed to the regional market's rapid expansion. Furthermore, the Asia Pacific market's more significant potential leads to solutions and service providers growing their presence in the area.
Market Dynamics
Driver: Increasing big data technology adoption is driving the Predictive Analytics Market.
The use of sophisticated technologies such as cloud, IoT, big data and analytics, mobility, and social media has sparked innovation and change in the business environment, resulting in increased growth. Thanks to digital technology, the historical approach to the company has been turned into a modern one. For example, internet banking and financial services are now well-established, leading in a profusion of online activities and websites.
Challenge: Changing regional data rules requires a lengthy reorganization of prediction models restraining the Predictive Analytics Market growth.
Predictive analytics gives decision-makers a clear data interpretation and a bigger picture to improve overall business performance. Depending on the amount and type of the investigation, modifying predictive models allows for interaction with both software and services. Professional services must customize current analytics systems tailored to specific data sets. Because the notion of predictive analytics is still in its infancy, skilled labor is in short supply.
Key Players
Pivotal Players in the Global Predictive Analytics Market consist of IBM Corporation; SAP ERP; Microsoft Corporation; Siemens AG; General Electric Company; Schneider Electric SE; NTT Data Corporation; Oracle Corporation; SAS Institute, Inc.; and Tableau Software, Inc among Others.
Developments
According to Teradata, in September 2021, Tesco PLC expanded its partnership with Teradata by adding Vantage into its data platform. As a result, Tesco could use Vantage to break down silos and query all of their data in real-time, whether in the cloud, multiple clouds, on-premises, or a combination of the three, to get a holistic view of their business.
Report Coverage and Scope
The report "Global Predictive Analytics Market" by Research Informatic covers an in-depth detailed analysis for the following segment covered under the scope.
By Component
By Deployment Mode
By Organization Size
By End-User
By Geography
Global Predictive Analytics Market Growth, Trend and Forecast 2020-2028
Chapter 1 Predictive Analytics Market Overview
1.1 Product Overview and Scope of Predictive Analytics
1.2 Predictive Analytics Market Segmentation by Type
1.2.1 Global Production Market Share of Predictive Analytics by Type in 2019
1.2.1 Type 1
1.2.2 Type 2
1.2.3 Type 3
1.3 Predictive Analytics Market Segmentation by Application
1.3.1 Predictive Analytics Consumption Market Share by Application in 2019
1.3.2 Application 1
1.3.3 Application 2
1.3.4 Application 3
1.4 Predictive Analytics Market Segmentation by Regions
1.4.1 North America
1.4.2 China
1.4.3 Europe
1.4.4 Southeast Asia
1.4.5 Japan
1.4.6 India
1.5 Global Market Size (Value) of Predictive Analytics (2014-2028)
Chapter 2 Global Economic Impact on Predictive Analytics Industry
2.1 Global Macroeconomic Environment Analysis
2.1.1 Global Macroeconomic Analysis
2.1.2 Global Macroeconomic Environment Development Trend
2.2 Global Macroeconomic Environment Analysis by Regions
Chapter 3 Global Predictive Analytics Market Competition by Manufacturers
3.1 Global Predictive Analytics Production and Share by Manufacturers (2019 and 2019)
3.2 Global Predictive Analytics Revenue and Share by Manufacturers (2019 and 2019)
3.3 Global Predictive Analytics Average Price by Manufacturers (2019 and 2019)
3.4 Manufacturers Predictive Analytics Manufacturing Base Distribution, Production Area and Product Type
3.5 Predictive Analytics Market Competitive Situation and Trends
3.5.1 Predictive Analytics Market Concentration Rate
3.5.2 Predictive Analytics Market Share of Top 3 and Top 5 Manufacturers
3.5.3 Mergers & Acquisitions, Expansion
Chapter 4 Global Predictive Analytics Production, Revenue (Value) by Region (2014-2020)
4.1 Global Predictive Analytics Production by Region (2014-2020)
4.2 Global Predictive Analytics Production Market Share by Region (2014-2020)
4.3 Global Predictive Analytics Revenue (Value) and Market Share by Region (2014-2020)
4.4 Global Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.5 North America Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.6 Europe Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.7 China Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.8 Japan Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.9 Southeast Asia Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
4.10 India Predictive Analytics Production, Revenue, Price and Gross Margin (2014-2020)
Chapter 5 Global Predictive Analytics Supply (Production), Consumption, Export, Import by Regions (2014-2020)
5.1 Global Predictive Analytics Consumption by Regions (2014-2020)
5.2 North America Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.3 Europe Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.4 China Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.5 Japan Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.6 Southeast Asia Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
5.7 India Predictive Analytics Production, Consumption, Export, Import by Regions (2014-2020)
Chapter 6 Global Predictive Analytics Production, Revenue (Value), Price Trend by Type
6.1 Global Predictive Analytics Production and Market Share by Type (2014-2020)
6.2 Global Predictive Analytics Revenue and Market Share by Type (2014-2020)
6.3 Global Predictive Analytics Price by Type (2014-2020)
6.4 Global Predictive Analytics Production Growth by Type (2014-2020)
Chapter 7 Global Predictive Analytics Market Analysis by Application
7.1 Global Predictive Analytics Consumption and Market Share by Application (2014-2020)
7.2 Global Predictive Analytics Consumption Growth Rate by Application (2014-2020)
7.3 Market Drivers and Opportunities
7.3.1 Potential Applications
7.3.2 Emerging Markets/Countries
Chapter 8 Predictive Analytics Manufacturing Cost Analysis
8.1 Predictive Analytics Key Raw Materials Analysis
8.1.1 Key Raw Materials
8.1.2 Price Trend of Key Raw Materials
8.1.3 Key Suppliers of Raw Materials
8.1.4 Market Concentration Rate of Raw Materials
8.2 Proportion of Manufacturing Cost Structure
8.2.1 Raw Materials
8.2.2 Labor Cost
8.2.3 Manufacturing Expenses
8.3 Manufacturing Process Analysis of Predictive Analytics
Chapter 9 Industrial Chain, Sourcing Strategy and Downstream Buyers
9.1 Predictive Analytics Industrial Chain Analysis
9.2 Upstream Raw Materials Sourcing
9.3 Raw Materials Sources of Predictive Analytics Major Manufacturers in 2019
9.4 Downstream Buyers
Chapter 10 Marketing Strategy Analysis, Distributors/Traders
10.1 Marketing Channel
10.1.1 Direct Marketing
10.1.2 Indirect Marketing
10.1.3 Marketing Channel Development Trend
10.2 Market Positioning
10.2.1 Pricing Strategy
10.2.2 Brand Strategy
10.2.3 Target Client
10.3 Distributors/Traders List
Chapter 11 Market Effect Factors Analysis
11.1 Technology Progress/Risk
11.1.1 Substitutes Threat
11.1.2 Technology Progress in Related Industry
11.2 Consumer Needs/Customer Preference Change
11.3 Economic/Political Environmental Change
Chapter 12 Global Predictive Analytics Market Forecast (2020-2028)
12.1 Global Predictive Analytics Production, Revenue Forecast (2020-2028)
12.2 Global Predictive Analytics Production, Consumption Forecast by Regions (2020-2028)
12.3 Global Predictive Analytics Production Forecast by Type (2020-2028)
12.4 Global Predictive Analytics Consumption Forecast by Application (2020-2028)
12.5 Predictive Analytics Price Forecast (2020-2028)
Chapter 13 Appendix
Published On:May 2022
Base Year:2021
Historical Data:2018 - 2020
No of Pages:250
Predictive Analytics Market Size, Share & Trends A...
RD Code : IT22