Latest Update: Impact of current COVID-19 situation has been considered in this report while making the analysis.
Global Data Analytics Software Market by Type (On-premise, Cloud-based), By Application (SMEs, Large Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030-report

Global Data Analytics Software Market by Type (On-premise, Cloud-based), By Application (SMEs, Large Enterprises) and Region (North America, Latin America, Europe, Asia Pacific and Middle East & Africa), Forecast From 2022 To 2030

Report ID: 237476 4200 Service & Software 377 149 Pages 4.8 (42)
                                          

Market Overview:


The global data analytics software market is expected to grow from USD 9.02 billion in 2018 to USD 21.01 billion by 2030, at a CAGR of 12.8% during the forecast period. The growth of the data analytics software market can be attributed to the increasing demand for big data and advanced analytics solutions across industries, growing need for real-time insights and decision making, and rising trend of cloud-based deployments. However, lack of skilled workforce is one of the major factors restraining the growth of this market. On-premise deployment type is expected to hold a larger share than cloud-based deployment type in the global data analytics software market during the forecast period. On-premise deployment type offers several benefits such as better security and control over confidential information, faster implementation timeframes, and lower Total Cost of Ownership (TCO).


Global Data Analytics Software Industry Outlook


Product Definition:


Data analytics software is used to collect, organize and analyze data. The purpose of data analytics software is to help businesses make better decisions by providing them with insights into their data.


On-premise:


On-premise software is a type of data analytics software that is installed and used directly by the end-users or companies. The on-premise software has been in use for many years, mainly due to its benefits such as easy integration with the company’s existing systems and minimal risk involved in using it. However, over the past few years, there have been significant changes in technology which have led to an increased demand for cloud computing services.


Cloud-based:


Cloud-based software is a type of Software as a Service (SaaS) that provides on-demand remote access to data and applications. It helps in reducing the cost of IT infrastructure, which is one of its major benefits. The other benefit includes increased productivity for organizations as they can get more done in lesser time with improved efficiency.


Application Insights:


The market is segmented by application into Small, Medium and Large-sized Enterprises (SMEs), and large enterprises. The SMEs segment held the largest share of over 60% in 2017. This can be attributed to factors such as easy access to data, need for speed in decision-making process, growing adoption of mobile solutions and an increase in demand for real-time analytics among other factors.


The large enterprise segment is anticipated to register the highest CAGR over the forecast period owing to increasing demand from various industries including healthcare, financial services & insurance (FS&I) and public sector organizations (PSO). For instance, In April 2018 IBM announced a partnership with Salesforce that will enable customers of both companies to gain insights from their data using Watson Analytics Platform powered by IBM Cloudant technology. Such initiatives are expected drive revenue growth across all industry verticals during the forecast period.


Regional Analysis:


North America dominated the global data analytics software market in 2017. North America has a well-established IT sector and is home to several large enterprises that are early adopters of advanced technologies. The U.S., in particular, is one of the most lucrative markets for vendors offering data analytics solutions as it holds a high volume of digital information generated by individuals across various industries, such as retail, telecom, and e-commerce.


Asia Pacific region is expected to witness significant growth over the forecast period owing to increasing adoption of cloud computing services in this region due to growing demand from SMEs for on-demand processing power along with reduced infrastructure costs associated with deploying these solutions at scale compared to their own data centers. Furthermore, rising awareness among consumers regarding big data analysis and its applications are driving regional growth since businesses can gain insights into consumer behavior patterns which help them make better decisions about product development or marketing campaigns thereby boosting revenue generation capabilities leading to increased demand for big Data Analytics Software (BDS).


Growth Factors:


  • Increasing demand for data-driven decision making across organizations
  • Proliferation of big data and the need to manage it effectively
  • The increasing popularity of cloud-based solutions and the growing trend of moving business processes to the cloud
  • The rising demand for real-time analytics and insights
  • Growing focus on enterprise mobility

Scope Of The Report

Report Attributes

Report Details

Report Title

Data Analytics Software Market Research Report

By Type

On-premise, Cloud-based

By Application

SMEs, Large Enterprises

By Companies

Alteryx, Apache Hadoop, Apache Spark, Birst, Domo, GoodData, Google Analytics, IBM, Looker, MATLAB, Minitab, Qlik Sense, RapidMiner, SAP Business Intelligence Platform, Sisense, Stata, Visitor Analytics, Yellowfin, Zoho Analytics

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

149

Number of Tables & Figures

105

Customization Available

Yes, the report can be customized as per your need.


Global Data Analytics Software Market Report Segments:

The global Data Analytics Software market is segmented on the basis of:

Types

On-premise, Cloud-based

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

SMEs, Large Enterprises

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:

  1. Alteryx
  2. Apache Hadoop
  3. Apache Spark
  4. Birst
  5. Domo
  6. GoodData
  7. Google Analytics
  8. IBM
  9. Looker
  10. MATLAB
  11. Minitab
  12. Qlik Sense
  13. RapidMiner
  14. SAP Business Intelligence Platform
  15. Sisense
  16. Stata
  17. Visitor Analytics
  18. Yellowfin
  19. Zoho Analytics

Global Data Analytics Software Market Overview


Highlights of The Data Analytics Software Market Report:

  1. The market structure and projections for the coming years.
  2. Drivers, restraints, opportunities, and current trends of market.
  3. Historical data and forecast.
  4. Estimations for the forecast period 2030.
  5. Developments and trends in the market.
  6. By Type:

    1. On-premise
    2. Cloud-based
  1. By Application:

    1. SMEs
    2. Large Enterprises
  1. Market scenario by region, sub-region, and country.
  2. Market share of the market players, company profiles, product specifications, SWOT analysis, and competitive landscape.
  3. Analysis regarding upstream raw materials, downstream demand, and current market dynamics.
  4. Government Policies, Macro & Micro economic factors are also included in the report.

We have studied the Data Analytics Software 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

Global Data Analytics Software Market Statistics

8 Reasons to Buy This Report

  1. Includes a Chapter on the Impact of COVID-19 Pandemic On the Market
  2. Report Prepared After Conducting Interviews with Industry Experts & Top Designates of the Companies in the Market
  3. Implemented Robust Methodology to Prepare the Report
  4. Includes Graphs, Statistics, Flowcharts, and Infographics to Save Time
  5. Industry Growth Insights Provides 24/5 Assistance Regarding the Doubts in the Report
  6. Provides Information About the Top-winning Strategies Implemented by Industry Players.
  7. In-depth Insights On the Market Drivers, Restraints, Opportunities, and Threats
  8. Customization of the Report Available

Frequently Asked Questions?


Data analytics software is a type of software that helps businesses make sense of large data sets. It can help companies identify trends, patterns, and insights in the data. This information can then be used to improve business operations or marketing campaigns.

Some of the key players operating in the data analytics software market are Alteryx, Apache Hadoop, Apache Spark, Birst, Domo, GoodData, Google Analytics, IBM, Looker, MATLAB, Minitab, Qlik Sense, RapidMiner, SAP Business Intelligence Platform, Sisense, Stata, Visitor Analytics, Yellowfin, Zoho Analytics.

The data analytics software market is expected to register a CAGR of 12.8%.

                                            
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Data Analytics Software 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 Data Analytics Software Market Dynamics       4.2.1 Market Drivers       4.2.2 Market Restraints       4.2.3 Market Opportunity    4.3 Data Analytics Software 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 Data Analytics Software 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 Data Analytics Software Market Size & Forecast, 2018-2028       4.5.1 Data Analytics Software Market Size and Y-o-Y Growth       4.5.2 Data Analytics Software Market Absolute $ Opportunity

Chapter 5 Global Data Analytics Software 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 Data Analytics Software Market Size Forecast by Type
      5.2.1 On-premise
      5.2.2 Cloud-based
   5.3 Market Attractiveness Analysis by Type

Chapter 6 Global Data Analytics Software 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 Data Analytics Software Market Size Forecast by Applications
      6.2.1 SMEs
      6.2.2 Large Enterprises
   6.3 Market Attractiveness Analysis by Applications

Chapter 7 Global Data Analytics Software 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 Data Analytics Software 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 Data Analytics Software Analysis and Forecast
   9.1 Introduction
   9.2 North America Data Analytics Software 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 Data Analytics Software Market Size Forecast by Type
      9.6.1 On-premise
      9.6.2 Cloud-based
   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 Data Analytics Software Market Size Forecast by Applications
      9.10.1 SMEs
      9.10.2 Large Enterprises
   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 Data Analytics Software Analysis and Forecast
   10.1 Introduction
   10.2 Europe Data Analytics Software 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 Data Analytics Software Market Size Forecast by Type
      10.6.1 On-premise
      10.6.2 Cloud-based
   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 Data Analytics Software Market Size Forecast by Applications
      10.10.1 SMEs
      10.10.2 Large Enterprises
   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 Data Analytics Software Analysis and Forecast
   11.1 Introduction
   11.2 Asia Pacific Data Analytics Software 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 Data Analytics Software Market Size Forecast by Type
      11.6.1 On-premise
      11.6.2 Cloud-based
   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 Data Analytics Software Market Size Forecast by Applications
      11.10.1 SMEs
      11.10.2 Large Enterprises
   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 Data Analytics Software Analysis and Forecast
   12.1 Introduction
   12.2 Latin America Data Analytics Software 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 Data Analytics Software Market Size Forecast by Type
      12.6.1 On-premise
      12.6.2 Cloud-based
   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 Data Analytics Software Market Size Forecast by Applications
      12.10.1 SMEs
      12.10.2 Large Enterprises
   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) Data Analytics Software Analysis and Forecast
   13.1 Introduction
   13.2 Middle East & Africa (MEA) Data Analytics Software 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) Data Analytics Software Market Size Forecast by Type
      13.6.1 On-premise
      13.6.2 Cloud-based
   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) Data Analytics Software Market Size Forecast by Applications
      13.10.1 SMEs
      13.10.2 Large Enterprises
   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 Data Analytics Software Market: Competitive Dashboard
   14.2 Global Data Analytics Software Market: Market Share Analysis, 2019
   14.3 Company Profiles (Details – Overview, Financials, Developments, Strategy) 
      14.3.1 Alteryx
      14.3.2 Apache Hadoop
      14.3.3 Apache Spark
      14.3.4 Birst
      14.3.5 Domo
      14.3.6 GoodData
      14.3.7 Google Analytics
      14.3.8 IBM
      14.3.9 Looker
      14.3.10 MATLAB
      14.3.11 Minitab
      14.3.12 Qlik Sense
      14.3.13 RapidMiner
      14.3.14 SAP Business Intelligence Platform
      14.3.15 Sisense
      14.3.16 Stata
      14.3.17 Visitor Analytics
      14.3.18 Yellowfin
      14.3.19 Zoho Analytics

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