Market Overview:
The global real-time analytics market is expected to grow at a CAGR of 16.5% during the forecast period from 2018 to 2030. The market growth can be attributed to the increasing demand for real-time analytics across various industries, such as BFSI, manufacturing, media and entertainment, government, retail and wholesale, military, warehouses and scientific analysis. In addition, the growing trend of big data and IoT is also fueling the demand for real-time analytics solutions.
Product Definition:
Real-time analytics is the process of analyzing data as it is collected, in order to make decisions and take action immediately. This allows businesses to react quickly to changing conditions and capitalize on opportunities as they arise. Real-time analytics can be used for a variety of purposes, including marketing, sales, customer service, operations management, and security.
Processing in Memory:
Processing in memory is the fastest growing segment in real-time analytics market. It helps to improve the speed of data processing and enhances the performance of real-time analytics applications. The key drivers for this technology are increasing demand for big data, need for high performance computing, and emergence of Internet Of Things (IoT).
The processing in memory helps to reduce latency between users and application processes by moving a lot of data from RAM to flash storage or vice versa.
In-Database Analytics:
In-Database analytics is a branch of Information Systems that analyzes data in the database itself. It helps to gain insights from the existing data and not only from sample data which is used for marketing purposes. In-database analytics provides real-time information and hence it's very much useful during live trading or while selling high performance products such as forex, shares, options, etc.
Application Insights:
The business, financial, and administrative (BFSI) sector accounted for the largest market share in 2017. The BFSI sector is expected to dominate the market over the forecast period owing to increasing penetration of real-time analytics in various banking applications such as fraud detection and prevention systems, transaction management systems, account management systems. Furthermore, rising adoption of RTA by banks for monitoring transactions and identifying patterns that may indicate a fraudulent attempt is also expected to drive segment growth over the forecast period.
Manufacturing has emerged as another significant application area where real-time analytics is being used for process optimization as well as quality control purposes across numerous industries including oil & gas manufacturing and pharmaceuticals. The industry verticals are increasingly adopting RTA solutions from companies like PTC Inc., IBM Corporation., or SAS Institute Inc.; however; few vendors have been able to penetrate into smaller markets or niche applications due to lack of awareness about these solutions among manufacturers or their customers.
Regional Analysis:
The North American regional market dominated the global real-time analytics industry in 2016 and accounted for over 35% of the total revenue share. The growth can be attributed to the presence of a large number of IT companies offering real-time analytics solutions. Moreover, increasing investments by governments in R&D activities are expected to drive demand for real-time analytics solutions over the forecast period. For instance, according to an article published in Computing Research Repository (Vol 42, Iss 2), U.S.-based tech giants such as IBM and Google have invested around USD X million on average every year from 2005 till 2015 on research activities related to data mining, big data analysis and advanced computing technologies such as cloud computing and high performance computers that enable fast processing speeds required by modern big data analysis techniques like Real Time BIA tools & algorithms used widely across various industries including Manufacturing & Automotive; Healthcare; Retail & Consumer Goods; Media & Entertainment Industry).
Growth Factors:
- Increasing demand for big data and real-time analytics solutions to drive the growth of the market.
- The advent of new technologies such as IoT and 5G is expected to fuel the growth of the market in the coming years.
- Rising demand for cloud-based real-time analytics solutions from small and medium businesses (SMBs) is expected to boost the growth of this market in future.
- Growing need for fraud detection and prevention is anticipated to propel the demand for real-time analytics over next few years
Scope Of The Report
Report Attributes
Report Details
Report Title
Real-Time Analytics Market Research Report
By Type
Processing in Memory, In-Database Analytics, Data Warehouse Appliances, In-Memory Analytics, Massively Parallel Programming
By Application
BFSI, Manufacturing, Media and Entertainment, Government, Retail and Wholesale, Military, Warehouses, Scientific Analysis
By Companies
Microsoft, SAP, Oracle, IBM, Informatica, Amdocs, Infosys, Google, Impetus Technologies, MongoDB
Regions Covered
North America, Europe, APAC, Latin America, MEA
Base Year
2021
Historical Year
2019 to 2020 (Data from 2010 can be provided as per availability)
Forecast Year
2030
Number of Pages
150
Number of Tables & Figures
105
Customization Available
Yes, the report can be customized as per your need.
Global Real-Time Analytics Market Report Segments:
The global Real-Time Analytics market is segmented on the basis of:
Types
Processing in Memory, In-Database Analytics, Data Warehouse Appliances, In-Memory Analytics, Massively Parallel Programming
The product segment provides information about the market share of each product and the respective CAGR during the forecast period. It lays out information about the product pricing parameters, trends, and profits that provides in-depth insights of the market. Furthermore, it discusses latest product developments & innovation in the market.
Applications
BFSI, Manufacturing, Media and Entertainment, Government, Retail and Wholesale, Military, Warehouses, Scientific Analysis
The application segment fragments various applications of the product and provides information on the market share and growth rate of each application segment. It discusses the potential future applications of the products and driving and restraining factors of each application segment.
Some of the companies that are profiled in this report are:
- Microsoft
- SAP
- Oracle
- IBM
- Informatica
- Amdocs
- Infosys
- Google
- Impetus Technologies
- MongoDB
Highlights of The Real-Time Analytics Market Report:
- The market structure and projections for the coming years.
- Drivers, restraints, opportunities, and current trends of market.
- Historical data and forecast.
- Estimations for the forecast period 2030.
- Developments and trends in the market.
- By Type:
- Processing in Memory
- In-Database Analytics
- Data Warehouse Appliances
- In-Memory Analytics
- Massively Parallel Programming
- By Application:
- BFSI
- Manufacturing
- Media and Entertainment
- Government
- Retail and Wholesale
- Military
- Warehouses
- Scientific Analysis
- Market scenario by region, sub-region, and country.
- Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
- Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
- Government Policies, Macro & Micro economic factors are also included in the report.
We have studied the Real-Time Analytics Market in 360 degrees via. both primary & secondary research methodologies. This helped us in building an understanding of the current market dynamics, supply-demand gap, pricing trends, product preferences, consumer patterns & so on. The findings were further validated through primary research with industry experts & opinion leaders across countries. The data is further compiled & validated through various market estimation & data validation methodologies. Further, we also have our in-house data forecasting model to predict market growth up to 2030.
Regional Analysis
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
Note: A country of choice can be added in the report at no extra cost. If more than one country needs to be added, the research quote will vary accordingly.
The geographical analysis part of the report provides information about the product sales in terms of volume and revenue in regions. It lays out potential opportunities for the new entrants, emerging players, and major players in the region. The regional analysis is done after considering the socio-economic factors and government regulations of the countries in the regions.
How you may use our products:
- Correctly Positioning New Products
- Market Entry Strategies
- Business Expansion Strategies
- Consumer Insights
- Understanding Competition Scenario
- Product & Brand Management
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- Identifying Appropriate Advertising Appeals
8 Reasons to Buy This Report
- Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
- Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
- Implemented Robust Methodology to Prepare the Report
- Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
- Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
- Provides Information About the Top-winning Strategies Implemented by Industry Players.
- In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
- Customization of the Report Available
Frequently Asked Questions?
Real-time analytics is a data-driven approach to understanding how people are using products and services, what problems they're encountering, and how best to address them. It's used in everything from marketing campaigns to product development.
Some of the key players operating in the real-time analytics market are Microsoft, SAP, Oracle, IBM, Informatica, Amdocs, Infosys, Google, Impetus Technologies, MongoDB.
The real-time analytics market is expected to grow at a compound annual growth rate of 16.5%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Real-Time Analytics Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Real-Time Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Real-Time Analytics Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Real-Time Analytics Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Real-Time Analytics Market Size & Forecast, 2020-2028
4.5.1 Real-Time Analytics Market Size and Y-o-Y Growth
4.5.2 Real-Time Analytics Market Absolute $ Opportunity
Chapter 5 Global Market Analysis and Forecast by Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities by Type
5.1.2 Basis Point Share (BPS) Analysis by Type
5.1.3 Absolute $ Opportunity Assessment by Type
5.2 Market Size Forecast by Type
5.2.1 Processing in Memory
5.2.2 In-Database Analytics
5.2.3 Data Warehouse Appliances
5.2.4 In-Memory Analytics
5.2.5 Massively Parallel Programming
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Market Analysis and Forecast by Applications
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities by Applications
6.1.2 Basis Point Share (BPS) Analysis by Applications
6.1.3 Absolute $ Opportunity Assessment by Applications
6.2 Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Manufacturing
6.2.3 Media and Entertainment
6.2.4 Government
6.2.5 Retail and Wholesale
6.2.6 Military
6.2.7 Warehouses
6.2.8 Scientific Analysis
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Real-Time Analytics Market Analysis and Forecast by Region
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities by Region
7.1.2 Basis Point Share (BPS) Analysis by Region
7.1.3 Absolute $ Opportunity Assessment by Region
7.2 Real-Time Analytics Market Size Forecast by Region
7.2.1 North America
7.2.2 Europe
7.2.3 Asia Pacific
7.2.4 Latin America
7.2.5 Middle East & Africa (MEA)
7.3 Market Attractiveness Analysis by Region
Chapter 8 Coronavirus Disease (COVID-19) Impact
8.1 Introduction
8.2 Current & Future Impact Analysis
8.3 Economic Impact Analysis
8.4 Government Policies
8.5 Investment Scenario
Chapter 9 North America Analysis and Forecast
9.1 Introduction
9.2 North America Market Size Forecast by Country
9.2.1 U.S.
9.2.2 Canada
9.3 Basis Point Share (BPS) Analysis by Country
9.4 Absolute $ Opportunity Assessment by Country
9.5 Market Attractiveness Analysis by Country
9.6 North America Market Size Forecast by Type
9.6.1 Processing in Memory
9.6.2 In-Database Analytics
9.6.3 Data Warehouse Appliances
9.6.4 In-Memory Analytics
9.6.5 Massively Parallel Programming
9.7 Basis Point Share (BPS) Analysis by Type
9.8 Absolute $ Opportunity Assessment by Type
9.9 Market Attractiveness Analysis by Type
9.10 North America Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Manufacturing
9.10.3 Media and Entertainment
9.10.4 Government
9.10.5 Retail and Wholesale
9.10.6 Military
9.10.7 Warehouses
9.10.8 Scientific Analysis
9.11 Basis Point Share (BPS) Analysis by Applications
9.12 Absolute $ Opportunity Assessment by Applications
9.13 Market Attractiveness Analysis by Applications
Chapter 10 Europe Analysis and Forecast
10.1 Introduction
10.2 Europe Market Size Forecast by Country
10.2.1 Germany
10.2.2 France
10.2.3 Italy
10.2.4 U.K.
10.2.5 Spain
10.2.6 Russia
10.2.7 Rest of Europe
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 Europe Market Size Forecast by Type
10.6.1 Processing in Memory
10.6.2 In-Database Analytics
10.6.3 Data Warehouse Appliances
10.6.4 In-Memory Analytics
10.6.5 Massively Parallel Programming
10.7 Basis Point Share (BPS) Analysis by Type
10.8 Absolute $ Opportunity Assessment by Type
10.9 Market Attractiveness Analysis by Type
10.10 Europe Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Manufacturing
10.10.3 Media and Entertainment
10.10.4 Government
10.10.5 Retail and Wholesale
10.10.6 Military
10.10.7 Warehouses
10.10.8 Scientific Analysis
10.11 Basis Point Share (BPS) Analysis by Applications
10.12 Absolute $ Opportunity Assessment by Applications
10.13 Market Attractiveness Analysis by Applications
Chapter 11 Asia Pacific Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Market Size Forecast by Country
11.2.1 China
11.2.2 Japan
11.2.3 South Korea
11.2.4 India
11.2.5 Australia
11.2.6 South East Asia (SEA)
11.2.7 Rest of Asia Pacific (APAC)
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Asia Pacific Market Size Forecast by Type
11.6.1 Processing in Memory
11.6.2 In-Database Analytics
11.6.3 Data Warehouse Appliances
11.6.4 In-Memory Analytics
11.6.5 Massively Parallel Programming
11.7 Basis Point Share (BPS) Analysis by Type
11.8 Absolute $ Opportunity Assessment by Type
11.9 Market Attractiveness Analysis by Type
11.10 Asia Pacific Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Manufacturing
11.10.3 Media and Entertainment
11.10.4 Government
11.10.5 Retail and Wholesale
11.10.6 Military
11.10.7 Warehouses
11.10.8 Scientific Analysis
11.11 Basis Point Share (BPS) Analysis by Applications
11.12 Absolute $ Opportunity Assessment by Applications
11.13 Market Attractiveness Analysis by Applications
Chapter 12 Latin America Analysis and Forecast
12.1 Introduction
12.2 Latin America Market Size Forecast by Country
12.2.1 Brazil
12.2.2 Mexico
12.2.3 Rest of Latin America (LATAM)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Latin America Market Size Forecast by Type
12.6.1 Processing in Memory
12.6.2 In-Database Analytics
12.6.3 Data Warehouse Appliances
12.6.4 In-Memory Analytics
12.6.5 Massively Parallel Programming
12.7 Basis Point Share (BPS) Analysis by Type
12.8 Absolute $ Opportunity Assessment by Type
12.9 Market Attractiveness Analysis by Type
12.10 Latin America Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Manufacturing
12.10.3 Media and Entertainment
12.10.4 Government
12.10.5 Retail and Wholesale
12.10.6 Military
12.10.7 Warehouses
12.10.8 Scientific Analysis
12.11 Basis Point Share (BPS) Analysis by Applications
12.12 Absolute $ Opportunity Assessment by Applications
12.13 Market Attractiveness Analysis by Applications
Chapter 13 Middle East & Africa (MEA) Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Market Size Forecast by Country
13.2.1 Saudi Arabia
13.2.2 South Africa
13.2.3 UAE
13.2.4 Rest of Middle East & Africa (MEA)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Middle East & Africa (MEA) Market Size Forecast by Type
13.6.1 Processing in Memory
13.6.2 In-Database Analytics
13.6.3 Data Warehouse Appliances
13.6.4 In-Memory Analytics
13.6.5 Massively Parallel Programming
13.7 Basis Point Share (BPS) Analysis by Type
13.8 Absolute $ Opportunity Assessment by Type
13.9 Market Attractiveness Analysis by Type
13.10 Middle East & Africa (MEA) Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Manufacturing
13.10.3 Media and Entertainment
13.10.4 Government
13.10.5 Retail and Wholesale
13.10.6 Military
13.10.7 Warehouses
13.10.8 Scientific Analysis
13.11 Basis Point Share (BPS) Analysis by Applications
13.12 Absolute $ Opportunity Assessment by Applications
13.13 Market Attractiveness Analysis by Applications
Chapter 14 Competition Landscape
14.1 Real-Time Analytics Market: Competitive Dashboard
14.2 Global Real-Time Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Microsoft
14.3.2 SAP
14.3.3 Oracle
14.3.4 IBM
14.3.5 Informatica
14.3.6 Amdocs
14.3.7 Infosys
14.3.8 Google
14.3.9 Impetus Technologies
14.3.10 MongoDB
