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.

We're seeing the Data Analytics Market really take off, largely because everyone's using data analysis tools for pretty much everything! Think predicting the stock market, making sense of healthcare data, digging deep with research, and even figuring out traffic patterns. Being able to predict demand with data analytics? That's gold for companies looking to boost profits and get more done. And it's not just businesses; governments, banks, e-commerce sites, and IT companies are throwing serious money at big data and business intelligence, which is only adding fuel to the fire. For a deep dive into all this, check out the Global Data Analytics Market report. It breaks down the market into understandable pieces, covering the key parts, what's hot, what's holding things back, who the players are, and everything else that's shaping the landscape.

Global Data Analytics Market Definition

Data analytics? It's really just about digging into raw data to find hidden insights. Think of it as using detective work to understand what the data is really telling us. A lot of the repetitive stuff has been automated with tools and algorithms, turning that raw info into something humans can actually use. Now, "data analytics" is a pretty wide term, covering lots of different ways to analyze data. You can apply it to pretty much anything to find those valuable insights that help you improve things. These techniques can reveal trends and patterns you'd otherwise miss in all the noise. And the cool part is, you can use those insights to tweak and optimize how things work, making your organization or system way more efficient – it's like giving it a superpower!

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

Okay, so when we talk about the market, it's split up by Type into things like Big Data Analytics, Business Analytics, Customer Analytics, Risk Analytics, Statistical Analytics, and a few Others. Back in 2021, Big Data Analytics was really pulling in the most revenue. What's driving that? Well, think about all the social media and online businesses these days – they're creating tons and tons of data! Plus, SaaS-based analytics have made it way easier to automate things and build powerful analytical models using self-service tools. Because everyone wants in on big data analytics, companies that offer those solutions are having to put more money into cloud technologies to stay competitive.

Data Analytics Market, By Deployment

• On-Premise
• Cloud

When we talk about how these systems are deployed, we're really looking at two main optionsOn-Premise and Cloud. Back in 2021, the on-premise approach was the most popular. Why? Well, businesses like having the freedom to tweak their own IT setup just how they want it. Plus, they aren't as reliant on a constant internet connection, which helps keep sensitive company data safe from fraud and theft. You can imagine that larger companies find that pretty appealing! Especially those in the BFSI sector; they're extra cautious about new account fraud and account takeovers, so the on-premise route, with its added resilience against those scams, is a definite win for them.

Data Analytics Market, By Enterprise Size

• Large Enterprises
• Small & Medium Enterprises (SMEs)

When we look at market size based on company size, we see two main categoriesLarge Enterprises and SMEs. Back in 2021, the bigger guys – the Large Enterprises – held the biggest piece of the pie. Why? Well, they're increasingly using cool, advanced analytics tools like customer & business analytics to manage their massive amounts of customer and asset data. Plus, a ton of these big companies are leveraging data analytics to boost sales, get smarter with analytics overall, and get better at managing risk. And the benefits don't stop there! Data analytics helps them analyze data more efficiently and share crucial information with the right people, right when they 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

Top Trending Reports

Research Methodology of Market Research

To know more about the Research Methodology and other aspects of the research study, kindly get in touch with our .

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