Market Overview:
The global self-service analytics market is expected to grow at a CAGR of 16.8% during the forecast period from 2018 to 2030. The growth of this market can be attributed to the increasing demand for self-service analytics solutions by organizations across different industries, such as BFSI, healthcare, retail, IT &telecommunication. Furthermore, the growing trend of cloud-based deployment is also contributing significantly to the growth of this market.
Product Definition:
Self-service analytics is the ability for business users to generate their own reports and analysis without help from IT or data scientists. The importance of self-service analytics is that it allows business users to quickly get answers to questions without waiting for someone else. This can be important for making decisions in a fast-paced business environment.
On Premises:
On Premises, it's usage and growth factor in Self-Service Analytics market? By type (Cloud/On Premises), By Deployment (SaaS, PaaS), And Segment Forecasts to 2022 -> The global on premises, it's usage and growth factor in self-service analytics market size was valued at USD 1.49 billion in 2014. It is expected to grow at a CAGR of XX% from 2015 to 2022.
On Cloud:
On cloud is a term used for computing resources that are hosted remotely on the Internet. It includes Infrastructure as a Service (IaaS) and Software as a Service (SaaS). On cloud analytics provides self-service business intelligence to organizations by delivering interactive analytical tools over the internet. These services enable users to access data from various sources in an effective way and analyze it using BI software.
Application Insights:
The retail segment accounted for the largest market share in 2017 and is expected to continue its dominance over the forecast period. The growing e-commerce industry has created a need for self-service analytics that can help retailers understand consumer behavior, trends, patterns and habits. These solutions also enable retailers to improve customer experience by improving inventory management, reducing shrinkage and increasing employee efficiency.
The healthcare segment is anticipated to register significant growth over the forecast period due to an increase in demand for data driven decisions regarding patient treatment options as well as medication management. Self-service analytics helps healthcare organizations analyze data from various sources (electronic medical records, lab tests) provide actionable insights on patients¢â‚¬â„¢ health conditions through their fingertips thereby enabling quick diagnosis of diseases with less medical staff interaction at hospitals or clinics level which results in improved quality of care along with reduced hospital costs & time consumed by treatments & procedures without compromising on patient safety & satisfaction.
Regional Analysis:
The North American regional market accounted for the largest revenue share in 2017. The growth can be attributed to the presence of a large number of vendors offering SaaS analytics solutions in this region. Moreover, increasing investments by governments and enterprises to adopt self-service technologies are also driving the demand for self-service analytics solutions in this region. For instance, according to Gartner Inc., spending on big data and advanced analytics has increased by more than 300% from 2013 to 2016 across U.S.
Asia Pacific is expected to emerge as one of the fastest growing regions over the forecast period owing primarilyto an increase in IT services consumption along with rising adoption of cloud computing services among small & medium enterprises (SMEs).
Moreover, advancements made by technology providers such as IBM Corporation; Google LLC; Microsoft Corporation; Amazon Web Services Inc.
Growth Factors:
- Increased demand for data-driven decision making: The need for timely and accurate insights into business operations is driving the demand for self-service analytics. Organizations are looking to empower their employees with data and analytics tools to make better decisions.
- Proliferation of big data: The growth of big data is fueling the demand for self-service analytics solutions, as these solutions can help organizations make sense of all that data and gain actionable insights quickly.
- Shift to cloud computing: Cloud computing is making it easier and more affordable for organizations of all sizes to deploy self-service analytics solutions. This is helping to drive wider adoption of these solutions across businesses.
- Emergence of new technologies: Technologies such as artificial intelligence (AI) and machine learning are enabling businesses to get even more value from their data through automated analysis and insights generation. This is helping fuel the growth of the self-service analytics market overall.
Scope Of The Report
Report Attributes
Report Details
Report Title
Self-Service Analytics Market Research Report
By Type
On Premises, On Cloud
By Application
BFSI, Healthcare, Retail, IT &Telecommunication
By Companies
Tableau Software (U.S), Microsoft Corporation (US), IBM Corporation (US), SAP SE (Germany), Splunk (U.S), Syncsort (U.S), Crimson Hexagon (U.S), Alteryx (U.S), SAsInstitute (U.S), TIBCO Software (US), Oracle Corporation (US), Vista equity partners (U.S), DrivenBI (U.S), MicroStrategy (U.S), Concur Technologies (U.S)
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
121
Number of Tables & Figures
85
Customization Available
Yes, the report can be customized as per your need.
Global Self-Service Analytics Market Report Segments:
The global Self-Service Analytics market is segmented on the basis of:
Types
On Premises, On Cloud
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, Healthcare, Retail, IT &Telecommunication
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:
- Tableau Software (U.S)
- Microsoft Corporation (US)
- IBM Corporation (US)
- SAP SE (Germany)
- Splunk (U.S)
- Syncsort (U.S)
- Crimson Hexagon (U.S)
- Alteryx (U.S)
- SAsInstitute (U.S)
- TIBCO Software (US)
- Oracle Corporation (US)
- Vista equity partners (U.S)
- DrivenBI (U.S)
- MicroStrategy (U.S)
- Concur Technologies (U.S)
Highlights of The Self-Service 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:
- On Premises
- On Cloud
- By Application:
- BFSI
- Healthcare
- Retail
- IT &Telecommunication
- 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 Self-Service 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
- Channel & Customer Management
- 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?
Self-service analytics is a term used to describe the use of self-service tools and technologies to analyze data. These tools can be used by individuals or organizations to collect, process, and present data in a variety of ways.
Some of the major companies in the self-service analytics market are Tableau Software (U.S), Microsoft Corporation (US), IBM Corporation (US), SAP SE (Germany), Splunk (U.S), Syncsort (U.S), Crimson Hexagon (U.S), Alteryx (U.S), SAsInstitute (U.S), TIBCO Software (US), Oracle Corporation (US), Vista equity partners (U.S), DrivenBI (U.S), MicroStrategy (U.S), Concur Technologies (U.S).
The self-service analytics market is expected to register a CAGR of 16.8%.
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Self-Service 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 Self-Service Analytics Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Self-Service 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 Self-Service 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 Self-Service Analytics Market Size & Forecast, 2018-2028
4.5.1 Self-Service Analytics Market Size and Y-o-Y Growth
4.5.2 Self-Service Analytics Market Absolute $ Opportunity
Chapter 5 Global Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Type
5.2.1 On Premises
5.2.2 On Cloud
5.3 Market Attractiveness Analysis by Type
Chapter 6 Global Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Applications
6.2.1 BFSI
6.2.2 Healthcare
6.2.3 Retail
6.2.4 IT &Telecommunication
6.3 Market Attractiveness Analysis by Applications
Chapter 7 Global Self-Service 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 Self-Service 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 Self-Service Analytics Analysis and Forecast
9.1 Introduction
9.2 North America Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Type
9.6.1 On Premises
9.6.2 On Cloud
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 Self-Service Analytics Market Size Forecast by Applications
9.10.1 BFSI
9.10.2 Healthcare
9.10.3 Retail
9.10.4 IT &Telecommunication
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 Self-Service Analytics Analysis and Forecast
10.1 Introduction
10.2 Europe Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Type
10.6.1 On Premises
10.6.2 On Cloud
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 Self-Service Analytics Market Size Forecast by Applications
10.10.1 BFSI
10.10.2 Healthcare
10.10.3 Retail
10.10.4 IT &Telecommunication
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 Self-Service Analytics Analysis and Forecast
11.1 Introduction
11.2 Asia Pacific Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Type
11.6.1 On Premises
11.6.2 On Cloud
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 Self-Service Analytics Market Size Forecast by Applications
11.10.1 BFSI
11.10.2 Healthcare
11.10.3 Retail
11.10.4 IT &Telecommunication
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 Self-Service Analytics Analysis and Forecast
12.1 Introduction
12.2 Latin America Self-Service Analytics 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 Self-Service Analytics Market Size Forecast by Type
12.6.1 On Premises
12.6.2 On Cloud
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 Self-Service Analytics Market Size Forecast by Applications
12.10.1 BFSI
12.10.2 Healthcare
12.10.3 Retail
12.10.4 IT &Telecommunication
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) Self-Service Analytics Analysis and Forecast
13.1 Introduction
13.2 Middle East & Africa (MEA) Self-Service Analytics 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) Self-Service Analytics Market Size Forecast by Type
13.6.1 On Premises
13.6.2 On Cloud
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) Self-Service Analytics Market Size Forecast by Applications
13.10.1 BFSI
13.10.2 Healthcare
13.10.3 Retail
13.10.4 IT &Telecommunication
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 Self-Service Analytics Market: Competitive Dashboard
14.2 Global Self-Service Analytics Market: Market Share Analysis, 2019
14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
14.3.1 Tableau Software (U.S)
14.3.2 Microsoft Corporation (US)
14.3.3 IBM Corporation (US)
14.3.4 SAP SE (Germany)
14.3.5 Splunk (U.S)
14.3.6 Syncsort (U.S)
14.3.7 Crimson Hexagon (U.S)
14.3.8 Alteryx (U.S)
14.3.9 SAsInstitute (U.S)
14.3.10 TIBCO Software (US)
14.3.11 Oracle Corporation (US)
14.3.12 Vista equity partners (U.S)
14.3.13 DrivenBI (U.S)
14.3.14 MicroStrategy (U.S)
14.3.15 Concur Technologies (U.S)
