Global Data Analytics Software Market Analysis and Global Forecast (2020-2030) with COVID Impact Analysis

Name: Global Data Analytics Software Market Analysis and Global Forecast (2020-2030) with COVID Impact Analysis
SKU: 8931
Price: 3475.00 USD
Availability: InStock

$ 3,475.00

Global Data Analytics Software Market Research Report: Information By Type (Linux, Windows, Mac OS, Android, IOS), By Deployment (On-premise, Cloud-based), By Application (SMEs, Large Enterprises, Other), and Region (North America, Europe, Asia-Pacific, and Rest of the World)—Forecast till 2030

Report Code: EB_ICT | Page: 155 | Published Date: Upcoming

Categories: Information and Communication Technology, Software and Services Tags: Data Analytics Companies, Data Analytics Industry, Data Analytics Market Analysis, Data Analytics Market Forecast, Data Analytics Market Growth, Data Analytics Market Restraints, Data Analytics Market Share, Data Analytics Market Size, Data Analytics Market Trends

Description

Market Overview

The global Data analytics software market size is projected to reach approximately USD 177.47 billion by 2030, at a CAGR of 14.2% from 2022 to 2030. The process of extracting significance and analyzing sets of data using scientific models, assumptions, and theories is known as data analytics. The classification, association, prediction, and clustering of data are all examples of data analytics. To draw inferences and detect diverse patterns, data analytics technologies and procedures process raw data, organize data, and model data. In the commercial sector, data analytics techniques are commonly employed to help businesses make better business decisions. The Data Analysis Software Market is quickly expanding as a result of the growing amount of data and the demand for data organization. Data analytics software aids in the interpretation and analysis of business data by continuously exploring and investigating historical business performance to generate decisive insights for business strategy. The data analytics software does predictive analysis to extract decision-making insights and inputs by applying statistical methodologies and tools to business performance data. It assists businesses in optimizing their operations and facilitating informed and strategic decision-making. It also aids in the discovery of patterns and linkages among data streams, and the automation of procedures and functions for real-time decision-making.

COVID-19 Impact Analysis

The pandemic had a positive impact on the data analysis market. As they accelerated their digital transformation programs and incorporated more business analytics use cases into their daily activities to stay afloat in an increasingly competitive market, enterprises improved their operational and marketing efficiency, saving both time and money. During the Pandemic, many businesses began to employ data analysis software to monitor their performance and keep track of their activities.

Market Dynamics

The rise in adoption of data analytics software by many businesses, the surge in demand for cloud-based analytics software among SMEs, and the numerous benefits provided by data analytics solutions are driving the growth of the global Data Analysis Software Market. Budget constraints in small and medium-sized organizations to provide effective data warehousing, and a lack of skilled labour, may hamper the growth of the market throughout the forecast period. Emerging trends such as social media analytics and text analytics, on the other hand, are expected to provide numerous opportunities for market growth during the forecast period.

Drivers

Ø The surge in demand for cloud-based analytics software

Data analytics software is an essential tool for companies that want to stay ahead of the competition. This surge in demand proves that even small businesses need access to cloud-based data analytics software to thrive in the economy. A smart business will leverage data analytics software to improve efficiency, increase sales, and gain a competitive edge over its rivals. Cloud-based business analytics software makes it easy for small businesses to join the ranks of leading enterprises by maximizing their productivity, visibility, and efficiency.

Restraint:

lack of skilled labour

The global data analytics market is quickly growing as businesses look to improve their operational efficiency and customer experiences. Data analysis helps companies access, process, and make sense of large amounts of data efficiently. However, there is a lack of skilled labour in the market, which has been hindering productivity growth.

Global Data analytics software Opportunity:

Emerging trends

There are a variety of emerging trends that are impacting the market for data analytics. Social media analytics, text analytics, and analytics in general. The demand for data analysts is increasing rapidly as more industries recognize the value of data. and it’s potential to drive innovation and improve business. The advancements in technology are providing numerous opportunities for the data analysis market to grow its businesses. Social media analytics is the most important trend for marketers during the forecast period as it helps them understand how their brand interacts with customers and what messages resonate with their audiences. Text analytics is another trend that gives marketers a chance to see how their brand’s content performs online, and which keywords are used to search for their brand.

Segment Overview

By Type

Based on Type, the Data analytics software market is segmented based Linux, Windows, Mac OS, Android, and IOS. The Linux segment is used operating system in data analytics software because of its highly efficient compute power and self-sustaining structure. This operating system has a flexible ecosystem that enables companies to use the software without any restrictions.

By Deployment

Based on Deployment, the global Data analytics software market has been divided into On-premise, Cloud-based. The Cloud-based segment is expected to dominate the Data analytics software market as a result of factors such as increased use of business analytics software by many enterprises, a surge in demand for cloud-based business analytics software among SMEs, and the numerous benefits provided by data analytics solutions.

By Application

Based on Application, the global Data analytics software market has been divided into SMEs, Large Enterprises, Other. The large enterprises segment is expected to dominate the Data analytics software market because Data analytics software and procedures convert raw data, organize data, and model data to draw conclusions and find various patterns. Data analytics techniques are frequently employed in large enterprises to help businesses make better business decisions.

Regional Analysis

By region, the global Data analytics software market has been divided into North America, Europe, Asia-Pacific, and the Rest of the World. North America is projected to dominate the use of the Data analytics software market followed by the Asia-Pacific and Europe regions.

North America Market

North America is expected to have the largest share of the Data analytics software market because of the high adoption of sophisticated technologies, and the existence of significant players, which are anticipated to provide opportunities for the market.

Asia-Pacific Market

During the projection period, Asia-Pacific is expected to increase at a CAGR of 3.3%. This region has witnessed an increase in demand for data analysis in recent years as a result of its rapid growth and the number of internet users in this region. Large Asian countries such as India and China, are predicted to develop during the forecast period. Data analysis is a crucial tool for these countries because it allows them to see how society is changing as a result of rising urbanization, economic growth, and a greater need for data-driven decision-making.

Competitive Landscape

The market encompasses tier-1, tier-2, and local players. The Tier-1 and tier-2 players have a global footprint and varied product ranges. Companies such as Amazon Web Services Inc, IBM Corporation, Microsoft, Oracle, SAP, and Tableau Software dominate the global Data analytics software market due to strategic developments and diversified regional presence. The players are adopting various strategies, such as expansion, product launches, and partnerships, to strengthen their market position and capture a large customer base.

Prominent Players:

Amazon Web Services Inc
IBM Corporation
Microsoft
Oracle
SAP
Tableau Software
Zoho Corporation Pvt Ltd
SiSense Inc
ThoughtSpot Inc
Mu Sigma
Looker Data Sciences Inc
Datameer Inc
Alteryx Inc
Dell Inc
SAS Institute Inc

In January 2022, IBM announced the acquisition of Envizi a leading data and analytics software provider for environmental performance management.

In December 2019, Oracle announced the availability of Pre-Packaged data Analytics for applications. Businesses employ fusion cloud enterprise resource planning systems to handle their financial processes, and the new bundle is geared for them.

Scope of the Report

Global Data analytics software Market, by Type

Linux
Windows
Mac OS
Android
IOS

Global Data analytics software Market, by Deployment

On-premise
Cloud-based

Global Data analytics software Market, by Application

SMEs
Large Enterprises
Other

Global Data analytics software Market, by Region

North America
- US
- Canada
- Mexico
Europe
- UK
- Germany
- France
- Italy
- Rest of Europe
Asia Pacific
- China
- Japan
- South Korea
- India
- Rest of Asia Pacific
Rest of the World

Parameters	Indicators
Market Size	2030: USD 177.47 Billion
CAGR	14.2% CAGR (2022-2030)
Base year	2021
Forecast Period	2022-2030
Historical Data	2020
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Key Segmentations	Type, Deployment, Application
Geographies Covered	North America, Europe, Asia-Pacific, Latin America, Middle East, Africa
Key Vendors	Amazon Web Services Inc, IBM Corporation, Microsoft, Oracle, SAP, Tableau Software, Zoho Corporation Pvt Ltd, SiSense Inc, ThoughtSpot Inc, Mu Sigma, Looker Data Sciences Inc, Datameer Inc, Alteryx Inc, Dell Inc, SAS Institute Inc.
Key Market Opportunities	Emerging trends such as social media analytics and text analytics
Key Market Drivers	The surge in demand for cloud-based business analytics software

REPORT CONTENT BRIEF:

High-level analysis of the current and future Data analytics software market trends and opportunities
Detailed analysis on current market drivers, restraining factors, and opportunities in the future
Data analytics software market historical market size for year 2020, and forecast from 2021 to 2028
Data analytics software market share analysis at each product level
Competitor analysis with a detailed insight into its product segment, financial strength, and strategies adopted.

Identifies key strategies adopted including product launches and developments, mergers and acquisitions, joint ventures, collaborations, and partnerships as well as funding taken and investment done, among others.
To identify and understand the various factors involved in the global Data analytics software market affected by the pandemic
To provide a detailed insight on the major companies operating in the market. The profiling will include the financial health of the company past 2-3 years with segmental and regional revenue breakup, product offering, recent developments, SWOT analysis, and key strategies.

For more details mail us at

[email protected]

Ask a question / additional requirement

Data Analytics FAQs

What is the study period of this market?
- The study period of global Data analytics software market is 2020 – 2030
What is the growth rate of global Data analytics software market?
- The global Data analytics software market is growing at a CAGR of ~ 2% over the next 7 years
Which region has highest growth rate in global Data analytics software market?
- Asia Pacific is expected to register the highest CAGR during 2022 – 2030
Which region has the largest share in global Data analytics software market?
- North America holds the largest share in 2021
Who are the key players in global Data analytics software market?
- Amazon Web Services Inc, IBM Corporation, Microsoft, Oracle, SAP, and Tableau Software are the major companies operating in the global Data analytics software market.
Do you offer Post Sale Support?
- Yes we offer 16 hours of anayst support in order to solve the quries
Do you sell particular sections of a report?
- Yes we provide regional as well as country level report. Other than this we also provide sectional report. Please get in contact with our sales representatives.

Table of Contents

Chapter 1. Executive Summary

Chapter 2. Scope Of The Study

2.1. Market Definition

2.2. Scope Of The Study

2.2.1. Objectives of Report

2.2.2. Limitations

2.3. Market Structure

Chapter 3. Evolve BI Methodology

Chapter 4. Market Insights and Trends

4.1. Supply/ Value Chain Analysis

4.1.1. Raw Application Providers

4.1.2. Manufacturing Process

4.1.3. Distributors/Retailers

4.1.4. End Users

4.2. Porter’s Five Forces Analysis

4.2.1. Threat Of New Entrants

4.2.2. Bargaining Power Of Buyers

4.2.3. Bargaining Power Of Suppliers

4.2.4. Threat Of Substitutes

4.2.5. Industry Rivalry

4.3. Impact Of COVID-19 on Data analytics software Market

4.3.1. Impact on Market Size

4.3.2. End User Trend, Preferences and Budget Impact

4.3.3. Regulatory Framework/Government Policies

4.3.4. Key Players Strategy to Tackle Negative Impact

4.3.5. Opportunity Window

4.4. Technology Overview

4.5. Macro factor

4.6. Micro Factor

4.7. Demand Supply Gap Analysis of Data analytics software Market

4.8. Import Analysis of Data analytics software Market

4.9. Export Analysis of Data analytics software Market

Chapter 5. Market Dynamics

5.1. Introduction

5.2. DROC Analysis

5.2.1. Drivers

5.2.2. Restraints

5.2.3. Opportunities

5.2.4. Challenges

5.3. Patent Analysis

5.4. Industry Roadmap

5.5. Parent/Peer Market Analysis

Chapter 6. Global Data analytics software Market, By Type

6.1. Introduction

6.2. Linux

6.3.   Windows

6.4.   Mac OS

6.5.   Android

6.6.   IOS

Chapter 7. Global Data analytics software Market, By Deployment

7.1. Introduction

7.2.   On-premise

7.3.   Cloud-based

Chapter 8. Global Data analytics software Market, By Application

8.1. Introduction

8.2.   SMEs

8.3. Large Enterprises

8.4. Others

Chapter 9. Global Data analytics software Market, By Region

9.1. Introduction

9.2. North America

9.2.1. Introduction

9.2.2. Driving Factors, Opportunity Analyzed and Key Trends

9.2.3. Market Size and Forecast, By Country, 2020 - 2030

9.2.4. Market Size and Forecast, By Type, 2020 – 2030

9.2.5. Market Size and Forecast, By Deployment, 2020 - 2030

9.2.6. Market Size and Forecast, By Application, 2020 – 2030

9.2.7. US

9.2.7.1. Introduction

9.2.7.2. Driving Factors, Opportunity Analyzed and Key Trends

9.2.7.3. Market Size and Forecast, By Type, 2020 - 2030

9.2.7.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.2.7.5. Market Size and Forecast, By Application, 2020 - 2030

9.2.8. Canada

9.2.8.1. Introduction

9.2.8.2. Driving Factors, Opportunity Analyzed and Key Trends

9.2.8.3. Market Size and Forecast, By Type, 2020 – 2030

9.2.8.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.2.8.5. Market Size and Forecast, By Application, 2020 - 2030

9.3. Europe

9.3.1. Introduction

9.3.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.3. Market Size and Forecast, By Country, 2020 - 2030

9.3.4. Market Size and Forecast, By Type, 2020 – 2030

9.3.5. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.6. Market Size and Forecast, By Application, 2020 – 2029

9.3.7. Germany

9.3.7.1. Introduction

9.3.7.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.7.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.7.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.7.5. Market Size and Forecast, By Application, 2020 - 2030

9.3.8. France

9.3.8.1. Introduction

9.3.8.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.8.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.8.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.8.5. Market Size and Forecast, By Application, 2020 - 2030

9.3.9. UK

9.3.9.1. Introduction

9.3.9.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.9.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.9.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.9.5. Market Size and Forecast, By Application, 2020 - 2030

9.3.10. Italy

9.3.10.1. Introduction

9.3.10.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.10.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.10.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.10.5. Market Size and Forecast, By Application, 2020 - 2030

9.3.11. Rest Of Europe

9.3.11.1. Introduction

9.3.11.2. Driving Factors, Opportunity Analyzed and Key Trends

9.3.11.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.11.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.3.11.5. Market Size and Forecast, By Application, 2020 - 2030

9.4. Asia-Pacific

9.4.1. Introduction

9.4.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.3. Market Size and Forecast, By Country, 2020 - 2030

9.4.4. Market Size and Forecast, By Type, 2020 – 2030

9.4.5. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.6. Market Size and Forecast, By Application, 2020 - 2030

9.4.7. China

9.4.7.1. Introduction

9.4.7.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.7.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.7.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.7.5. Market Size and Forecast, By Application, 2020 - 2030

9.4.7. India

9.4.7.1. Introduction

9.4.7.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.7.3. Market Size and Forecast, By Type, 2020 – 2030

9.4.7.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.7.5. Market Size and Forecast, By Application, 2020 - 2030

9.4.8. Japan

9.4.8.1. Introduction

9.4.8.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.8.3. Market Size and Forecast, By Type, 2020 – 2030

9.3.8.5. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.8.6. Market Size and Forecast, By Application, 2020 - 2030

9.4.9. South Korea

9.4.9.1. Introduction

9.4.9.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.9.3. Market Size and Forecast, By Type, 2020 – 2030

9.4.9.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.9.5. Market Size and Forecast, By Application, 2020 - 2030

9.4.10. Rest Of Asia-Pacific

9.4.10.1. Introduction

9.4.10.2. Driving Factors, Opportunity Analyzed and Key Trends

9.4.10.3. Market Size and Forecast, By Type, 2020 – 2030

9.4.10.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.4.10.5. Market Size and Forecast, By Application, 2020 - 2030

9.5. Rest Of The World (RoW)

9.5.1. Introduction

9.5.2. Driving Factors, Opportunity Analyzed and Key Trends

9.5.3. Market Size and Forecast, By Type, 2020 – 2030

9.5.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.5.5. Market Size and Forecast, By Application, 2020 - 2030

9.5.6. Market Size and Forecast, By Region, 2020 - 2030

9.5.7. South America

9.5.7.1. Introduction

9.5.7.2. Driving Factors, Opportunity Analyzed and Key Trends

9.5.7.3. Market Size and Forecast, By Type, 2020 – 2030

9.5.7.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.5.7.5. Market Size and Forecast, By Application, 2020 - 2030

9.5.8. Middle East and Africa

9.5.8.1. Introduction

9.5.8.2. Driving Factors, Opportunity Analyzed and Key Trends

9.5.8.3. Market Size and Forecast, By Type, 2020 – 2030

9.5.8.4. Market Size and Forecast, By Deployment, 2020 - 2030

9.5.8.5. Market Size and Forecast, By Application, 2020 - 2030

Chapter 10. Competitive Landscape

10.1. Introduction

10.2. Vendor Share Analysis, 2021/Key Players Positioning, 2021

Chapter 11. Company Profiles

11.1. Amazon Web Services Inc

11.1.1. Business Overview

11.1.2. Financial Analysis

11.1.3. Product Portfolio

11.1.4. Recent Development and Strategies Adopted

11.1.5. SWOT Analysis

11.2. IBM Corporation

11.2.1. Business Overview

11.2.2. Financial Analysis

11.2.3. Product Portfolio

11.2.4. Recent Development and Strategies Adopted

11.2.5. SWOT Analysis

11.3. Microsoft

11.3.1. Business Overview

11.3.2. Financial Analysis

11.3.3. Product Portfolio

11.3.4. Recent Development and Strategies Adopted

11.3.5. SWOT Analysis

11.4. Oracle

11.4.1. Business Overview

11.4.2. Financial Analysis

11.4.3. Product Portfolio

11.4.4. Recent Development and Strategies Adopted

11.4.5. SWOT Analysis

11.5. SAP

11.5.1. Business Overview

11.5.2. Financial Analysis

11.5.3. Product Portfolio

11.5.4. Recent Development and Strategies Adopted

11.5.5. SWOT Analysis

11.6. Tableau Software

11.6.1. Business Overview

11.6.2. Financial Analysis

11.6.3. Product Portfolio

11.6.4. Recent Development and Strategies Adopted

11.6.5. SWOT Analysis

11.7. Zoho Corporation Pvt Ltd

11.7.1. Business Overview

11.7.2. Financial Analysis

11.7.3. Product Portfolio

11.7.4. Recent Development and Strategies Adopted

11.7.5. SWOT Analysis

11.8. SiSense Inc

11.8.1. Business Overview

11.8.2. Financial Analysis

11.8.3. Product Portfolio

11.8.4. Recent Development and Strategies Adopted

11.8.5. SWOT Analysis

11.9. ThoughtSpot Inc

11.9.1. Business Overview

11.9.2. Financial Analysis

11.9.3. Product Portfolio

11.9.4. Recent Development and Strategies Adopted

11.9.5. SWOT Analysis

11.10. Mu Sigma

11.10.1. Business Overview

11.10.2. Financial Analysis

11.10.3. Product Portfolio

11.10.4. Recent Development and Strategies Adopted

11.10.5. SWOT Analysis

11.11. Looker Data Sciences Inc

11.12. Datameer Inc

11.13. Alteryx Inc

11.14. Dell Inc

11.15. SAS Institute Inc

Chapter 12. Key Takeaways

Connect to Analyst

Research Methodology

Global Data Analytics Software Market Analysis and Global Forecast (2020-2030) with COVID Impact Analysis

Drivers

Restraint: