Predictive Analytics Market to Exhibit 16.5% CAGR; Industry Size By Product, By Application, By Geographic Scope And Forecast 2028

New York, United States (Oct 26, 2022)--The Insights Partners recently introduced Global Predictive Analytics Market study with in-depth overview, describing about the Product / Industry Scope and elaborates market outlook and status to 2028. Global Predictive Analytics Market explores effective study on varied sections of Industry like opportunities, size, growth, technology, demand and trend of high leading players. It also provides market key statistics on the status of manufacturers, a valuable source of guidance, direction for companies and individuals interested in the industry. The Predictive Analytics Market report is extremely valuable for mapping the strategies related to production, product launches, costing, inventory, purchasing and marketing. This report gives key measurements, status of the manufacturers and is a significant source of direction for the businesses and organizations. Additionally, this report gives Predictive Analytics Market size, trends, share, growth, and cost structure and drivers analysis. All these factors are of utmost importance when it comes to achieving a success in the competitive marketplace.

The predictive analytics market size is projected to grow from US$ 12,492.94 million in 2022 to US$ 38,038.83 million by 2028; it is expected to grow at a CAGR of 20.4% from 2022 to 2028.

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Report Coverage Details

Market Size Value in US$ 12,492.94 Million in 2022

Market Size Value by US$ 38,038.83 Million by 2028

Growth rate CAGR of 20.4% from 2022 to 2028

Forecast Period: 2022-2028

Base Year: 2022

No. of Pages: 229

No. of Tables: 142

No. of Charts & Figures: 100

Historical data available: Yes

Segments covered: Component, Deployment Mode, Organization Size, and Industry Vertical

Regional scope: North America; Europe; Asia Pacific; Latin America; MEA

Country scope: US, UK, Canada, Germany, France, Italy, Australia, Russia, China, Japan, South Korea, Saudi Arabia, Brazil, Argentina

Report coverage" Revenue forecast, company ranking, competitive landscape, growth factors, and trends

Impact of COVID-19 Pandemic on Asia Pacific Predictive Analytics Market

In 2020, APAC was severely affected by the COVID-19 outbreak. With the biggest population worldwide, China faced a greater risk of the spread of infection than any other country in this region. According to the Organization for Economic Co-operation and Development (OECD), the pandemic also affected significant economies such as India, Australia, and Japan. Further, in 2021, offices in several APAC countries resumed their operations due to relaxations in lockdown restrictions and progress in the vaccination process. The COVID-19 pandemic disrupted the operations of electronics & semiconductor firms, clients, and partners for an indefinite period due to travel restrictions and business shutdowns, severely influencing revenue and reducing technological spending. Businesses in the region are expected to invest more money and energy into identifying intelligent management solutions tailored to managing security threats associated with work-from-home models, which is likely to be a new normal in many countries. Thus, the predictive analytics market  is estimated to experience substantial growth in the next few years.

Predictive Analytics Market Scenario

Predictive analytics, a branch of advanced analytics, uses historical data combined with statistical modeling, data mining techniques, and machine learning  to make predictions about future outcomes. Companies employ predictive analytics to find patterns in their data, which help them identify risks and opportunities. This type of advanced analytics is often associated with Big Data and data science. Managing the data residing in transactional databases, device log files, images, videos, sensors, and other data sources is the major challenge faced by companies these days. Data scientists use deep learning and machine learning algorithms to find patterns and predict future events for gathering insights from these data. These algorithms include linear and non-linear regression, neural networks, support vector machines, and decision trees. The insights gained through predictive analytics can be further used within prescriptive analytics.

Competition Analysis:

Some of Key Competitors or Companies Included In the Study Are
IBM Corporation
Microsoft Corporation
Oracle Corporation
SAP SE
Google LLC
SAS Institute Inc.
Salesforce.com, inc.
Amazon Web Services
….

The report begins with a brief introduction and market overview of the Predictive Analytics industry followed by its market scope and size. Next, the report provides an overview of market segmentation such as type, application, and region. The drivers, limitations, and opportunities for the market are also listed along with current trends and policies in the industry.

 Market Segmentation:
                
By Component [Solution (Risk Analytics, Marketing Analytics, Sales Analytics, Customer Analytics, and Others) and Service], Deployment Mode (On-Premise and Cloud-Based)

By Organization Size [Small and Medium Enterprises (SMEs) and Large Enterprises]

By Industry Vertical (IT & Telecom, BFSI, Energy & Utilities, Government and Defence, Retail and e-Commerce, Manufacturing, and Others)
 
If opting for the Global version of Predictive Analyticss Market analysis is provided for major regions as follows:

- North America (USA, Canada and Mexico)

- Europe (Germany, France, the United Kingdom, Netherlands, Russia , Italy and Rest of Europe)

- Asia-Pacific (China, Japan, Australia, New Zealand, South Korea, India and Southeast Asia)

- South America (Brazil, Argentina, Colombia, rest of countries etc.)

- Middle East and Africa (Saudi Arabia, United Arab Emirates, Israel, Egypt, Nigeria and South Africa)
 
Market Insights - Predictive Analytics Market
Emergence of AIoT Technologies to Fuel Predictive Analytics Market Growth in Future
The artificial intelligence of things (AIoT) is the combination of artificial intelligence (AI)  technologies and the internet of things (IoT) infrastructure. AIoT aims to create more efficient IoT operations, enhance human-machine interactions, and improve data management and analysis. AI is the simulation of human intelligence processes by machines, especially computer systems, and is commonly used in natural language processing, speech recognition, and machine vision. IoT is a system of interdependent computing devices, mechanical and digital machines, or objects with unique identifiers and the ability to transmit data over a network without requiring human-to-human or human-to-computer interaction. AIoT is transformative and mutually beneficial for both types of technologies, as AI adds value to IoT through machine learning capabilities and enhances decision-making, while IoT adds value to AI through connectivity, signaling, and data exchange. AIoT can improve businesses and services by creating more value from IoT-generated data. AI enables the IoT device to use collected big data to analyze, learn, and make better decisions without the need for human interference. With the integration of AI, IoT creates a much smarter system. The aim of having these systems is to make accurate judgments without the need for human intervention. The inclusion of 5G is one of the biggest possible innovations in AIoT. 5G is designed to enable the faster transmission of large data files in IoT devices through higher bandwidth and lower latency. The AIoT can help solve existing operational problems, such as the costs associated with effective human capital management or the complexity of supply chains and delivery models, providing a lucrative opportunity for the growth of the predictive analytics market.

Component-Based Predictive Analytics Market Insights

The predictive analytics market analysis, by component, is bifurcated into solution and service. The solutions segment accounted for a larger predictive analytics market share in 2021. Predictive analytics solutions involve extracting information from existing data sources, identifying patterns, and predicting future trends and outcomes. It uses different techniques, including artificial intelligence, statistical modeling, and machine learning, to make these predictions. Predictive analytics solutions provide a reliable method for forecasting because they focus on risk management and take what-if scenarios into account. Moreover, it helps organizations adapt to industry needs and innovate on the go. The predictive analytics market for solution is subsegmented into risk analytics, marketing analytics, sales analytics, customer analytics, and others.

Key Benefits:

o This study gives a detailed analysis of drivers and factors limiting the market expansion of Predicive Analyticss

o The micro-level analysis is conducted based on its product types, end-user applications, and geographies

o Porter's five forces model gives an in-depth analysis of buyers and suppliers, threats of new entrants & substitutes and competition amongst the key market players

o By understanding the value chain analysis, the stakeholders can get a clear and detailed picture of this Predictive Analyticss market

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Deployment Mode-Based Predictive Analytics Market Insights

The predictive analytics market analysis, by deployment mode, is bifurcated into on premise and cloud based. The cloud-based segment accounted for a larger predictive analytics market share in 2021. Many organizations use multiple cloud environments and, possibly, a range of tailormade infrastructure monitoring, management, and troubleshooting solutions. To gain visibility in the hybrid multi-cloud environment, Cloud Ops teams using traditional scanning methods can rely on manual capabilities and ignore the correlating information pieces in the underlying environment. Predictive analytics allows users to focus on insights from data rather than independently collecting, processing, and analyzing information from multiple cloud environments. Regardless of the complexity of the cloud network, advanced machine learning algorithms that power predictive analytics capabilities provide the necessary abstraction between the complex underlying infrastructure and data analytics.

Players operating in the predictive analytics market are mainly focused on the development of advanced and efficient products.

In 2022, SAP acquired Askdata, which is a search-driven analytics company. The integration of Askdata with SAP is likely to enable their customers to make better informed decisions by maximizing business insights based on AI capabilities.

In 2020, HPE acquired Determined AI, a San Francisco-based startup offering software stack for the accelerating training of models with its ML capabilities.

The research study can answer the following Key questions:

What will be the progress rate of the Predictive Analyticss Market for the conjecture period, 2020 - 2028?

What are the prominent factors driving the Predictive Analyticss Market across different regions?

Who are the major vendors dominating the Predictive Analyticss industry and what are their winning strategies?

What will be the market scope for the estimated period?

What are the major trends shaping the expansion of the industry in the coming years?

What are the challenges faced by the Predictive Analyticss Market?

 

Some Points from TOC:
1 Report Overview
1.1 Study Scope
1.2 Key Market Segments
1.3 Regulatory Scenario by Region/Country
1.4 Market Investment Scenario Strategic
1.5 Market Analysis by Type
1.5.1 Global Predictive Analyticss Market Share by Type (2020-2028)
1.5.2 Type 1
1.5.3 Type 2
1.5.4 Other
1.6 Market by Application
1.6.1 Global Predictive Analyticss Market Share by Application (2020-2028)
1.6.2 Application 1
1.6.3 Application 2
1.6.4 Other
1.7 Predictive Analyticss Industry Development Trends under COVID-19 Outbreak
1.7.1 Region COVID-19 Status Overview
1.7.2 Influence of COVID-19 Outbreak on Predictive Analyticss Industry Development

Global Market Growth Trends
2.1 Industry Trends
2.1.1 SWOT Analysis
2.1.2 Porter's Five Forces Analysis
2.2 Potential Market and Growth Potential Analysis
2.3 Industry News and Policies by Regions
2.3.1 Industry News
2.3.2 Industry Policies
3 Value Chain of Predictive Analyticss Market
3.1 Value Chain Status
3.2 Predictive Analyticss Manufacturing Cost Structure Analysis
3.2.1 Production Process Analysis
3.2.2 Manufacturing Cost Structure of Predictive Analyticss
3.2.3 Labor Cost of Predictive Analyticss
3.3 Sales and Marketing Model Analysis
3.4 Downstream Major Customer Analysis (by Region)

4 Players Profiles
4.1 Player 1
4.1.1 Player 1 Basic Information
4.1.2 Predictive Analyticss Product Profiles, Application and Specification
4.1.3 Player 1 Predictive Analyticss Market Performance (2015-2020)
4.1.4 Player 1 Business Overview
4.2 Player 2
4.2.1 Player 2 Basic Information
4.2.2 Predictive Analyticss Product Profiles, Application and Specification
4.2.3 Player 2 Predictive Analyticss Market Performance (2015-2020)
4.2.4 Player 2 Business Overview
4.3 Player 3
4.3.1 Player 3 Basic Information
4.3.2 Predictive Analyticss Product Profiles, Application and Specification
4.3.3 Player 3 Predictive Analyticss Market Performance (2015-2020)
4.3.4 Player 3 Business Overview
4.4 Player 4
4.4.1 Player 4 Basic Information
4.4.2 Predictive Analyticss Product Profiles, Application and Specification
4.4.3 Player 4 Predictive Analyticss Market Performance (2015-2020)
4.4.4 Player 4 Business Overview
4.5 Player 5
4.5.1 Player 5 Basic Information
4.5.2 Predictive Analyticss Product Profiles, Application and Specification
4.5.3 Player 5 Predictive Analyticss Market Performance (2015-2020)

Continued.....

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