Global Data Analytics Market Size By Type (Big Data Analytics, Business Analytics), By Deployment (On-Premise, Cloud), By Enterprise Size (Large Enterprises, Small And Medium Enterprises (SMEs)), By Geographic Scope And Forecast

Data Analytics Market Size And Forecast

Data Analytics Market size was valued at USD 31.74 Billion in 2021 and is projected to reach USD 346.33 Billion by 2030, growing at a CAGR of 30.41% from 2023 to 2030.

The expansion of the Data Analytics Market is anticipated to be driven by the rising use of data analysis tools for applications including predicting and forecasting trade markets, healthcare data, research analysis, and traffic trend forecasting. Demand forecasting using data analytics can help companies make more profitable decisions and increase productivity. Government organizations and other sectors, including banking, e-commerce, and IT services, have made large investments in big data and business intelligence technologies recently, which has fuelled the market demand. The Global Data Analytics Market report provides a holistic evaluation of the market. The report offers a comprehensive analysis of key segments, trends, drivers, restraints, competitive landscape, and factors that are playing a substantial role in the market.

Global Data Analytics Market Definition

The practice of examining unprocessed data to draw inferences about such information is known as data analytics. Many data analytics methods and procedures have been mechanized into mechanical procedures and algorithms that use raw data for human consumption. The phrase “data analytics” is broad and covers a wide range of data analysis techniques. Data analytics techniques can be applied to any type of information to gain insight that can be utilized to make things better. Techniques for data analytics can make trends and indicators visible that might otherwise be lost in the sea of data. The efficiency of an organization or system can then be improved by using this knowledge to optimize procedures.

For instance, manufacturers frequently keep track of the runtime, downtime, and work queue for different machines, then analyze the data to better plan the workloads so the machines perform closer to peak capacity. More than just identifying production problems is possible with data analytics. The majority of players in a game are kept engaged by reward schedules that gaming corporations create using data analytics. Many of the same data analytics are used by content companies to keep customers clicking, viewing, or reorganizing content to obtain another look or click.

Global Data Analytics Market Overview

Predictive analytics and big data are being used more and more, and this trend is anticipated to continue during the forecast period. COVID-19’s introduction has only increased the importance of data analytics trends, which have already gained prominence in recent years. After COVID-19, whenever the entire globe has gone digital and more data is being produced than ever before, the value of data analytics cannot be emphasized. As a result, there is an increased necessity for data analytics, which is expected to grow quickly between 2023 and 2030.

Moreover, business requires data analytics because it improves their ability to make data-driven decisions and allows them to manage, process, and simplify enormous datasets in real time. Additionally, the fundamental goal of big data and business analytics is to assist companies in better understanding their target markets and customers, hence increasing marketing initiatives. These characteristics are projected to increase the big data market’s acceptability by numerous businesses from various industries.

Recent developments in big data analytics, such as text and social media analytics, are expected to open up a lot of new commercial opportunities. Additionally, considering social media is more effective than traditional advertising, many companies are using it as their primary source for a variety of advertising campaigns, product promotions, and events. The prevalence of internet-connected mobile devices like smartphones and tablets as well as the growing user population on social media platforms both support the growth of social media analytics. In a competitive marketplace where firms must move rapidly, customer demands are constantly shifting.

Global Data Analytics MarketSegmentation Analysis

The Global Data Analytics Market is Segmented on the basis of Type, Deployment, Enterprise Size, and Geography.

Data Analytics Market, By Type

• Big Data Analytics
• Business Analytics
• Customer Analytics
• Risk Analytics
• Statistical Analytics
• Others

Based on Type, the market is bifurcated into Big Data Analytics, Business Analytics, Customer Analytics, Risk Analytics, Statistical Analytics, and Others. In 2021, the Big Data Analytics Market share was greater in terms of revenue. The growth of social media platforms and the emergence of online businesses that produce huge volumes of data can be attributed to the segment’s expansion. SaaS-based data analytics have also made automation installation easier and enabled the construction of potent analytical models employing self-service paradigms. To get a competitive edge against the rising demand for big data analytics solutions, providers of big data solutions have been pushed to increase their investments in cloud technologies.

Data Analytics Market, By Deployment

• On-Premise
• Cloud

Based on Deployment, the market is bifurcated into On-Premise and Cloud. In 2021, the on-premise segment has the largest market share. Businesses have more freedom and control over how to customize their IT infrastructure with on-premise installations, which also reduces their reliance on the internet and protects confidential company data from fraud and theft. These benefits are anticipated to influence large businesses to opt for on-premise deployment. Companies in the BFSI sector also prefer the on-premise approach as a result of growing concerns regarding fraud involving new accounts and account takeovers. This is a positive thing for the segment’s growth because on-premise businesses are more resilient to these scams.

Data Analytics Market, By Enterprise Size

• Large Enterprises
• Small & Medium Enterprises (SMEs)

Based on Enterprise Size, the market is bifurcated into Large Enterprises and Small & Medium Enterprises (SMEs). In 2021, the large enterprise segment has the largest market share. The segment’s expansion can be attributed to the rising usage of advanced analytics tools, such as customer & business analytics, for major corporations’ effective administration of their sizable customer and asset databases. Additionally, a lot of big companies are placing data analytics to use to increase sales, expand analytics knowledge, and improve risk management skills. Companies can also benefit from data analytics by improving data analysis and distributing vital information to those who need it.

Data Analytics Market, By Geography

• North America
• Europe
• Asia Pacific
• Rest of the world

Based on geographical analysis, the Global Data Analytics Market is classified into North America, Europe, Asia Pacific, and the Rest of the world. In 2021, An important portion of the global data analytics industry was held by North America. This is due to infrastructure supporting the application of cutting-edge analytics being readily available, and because cutting-edge technologies like AI and machine learning are increasingly being used.

Key Players

The “Global Data Analytics Market” study report will provide valuable insight with an emphasis on the global market including some of the major players such as Alteryx, Inc., IBM Corporation, SiSense Inc., Microsoft, Zoho Corporation Pvt. Ltd., Oracle, ThoughtSpot, Inc., SAP SE, Mu Sigma, Dell Inc., Amazon Web Services, Inc., Looker Data Sciences, Inc., Tableau Software, LLC., Datameer, Inc., SAS Institute Inc., and others. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.

Key Developments

• In April 2022, Wipro and the Augmented Intelligence company DataRobot collaborated. The alliance’s goal is to assist customers to become AI-driven organizations and accelerate their commercial impact by providing scaled augmented intelligence. Due to this collaboration, companies will acquire their “data to value” more quickly and AI strategy will be implemented more swiftly.
• In April 2022, to support academic research and assist in the growth of students’ AI and analytics skills, Clemson University formed a cooperation with SAS Institute Inc.
• In April 2022, Accenture acquired Avieco. At a time when more regulation and new standards are expanding the demand for accurate data in decision-making by clients across industries, the acquisition will strengthen Accenture’s commitment to integrating sustainability into everything the company does to create business value and sustainable impact for everyone it serves.

Ace Matrix Analysis

The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.

Market Attractiveness

The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global Data Analytics Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.

Porter’s Five Forces

The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. Porter’s five forces model can be used to assess the competitive landscape in the Global Data Analytics Market, gauge the attractiveness of a certain sector, and assess investment possibilities.

Report Scope

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Research Methodology of Market Research

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Reasons to Purchase this Report

• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors• Provision of market value (USD Billion) data for each segment and sub-segment• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the f