Author: Acumen Research and Consulting

Data Analytics Market Size in 2021 was USD 31.8 Billion, market value to reach USD 329.8 Billion by 2030 at 29.9% CAGR

Data Analytics Market Overview

The data analytics market is a rapidly growing industry that involves extracting insights from large sets of data to inform business decisions. This is accomplishedusing various data analytics tools and techniques, which are used across a range of industries including finance, healthcare, retail, and manufacturing.

The increasing amount of data being generated by businesses, as well as the growing demand for better insights and decision-making capabilities, drives the data analytics market size. The data analytics market is a rapidly growing and evolving field, with many companies offering a wide range of products and services.

Data Analytics Market Research Report Highlights and Statistics

• The global data analytics market share is expected to reach a value of USD 329.8 billion by 2030, growing at a CAGR of 29.9% from 2022 and 2030.
• The healthcare industry is expected to have the highest growth rate in the data analytics market, driven by the increasing adoption of electronic health records and the need for better patient care.
• North America is currently the largest market for data analytics, followed by Europe and Asia-Pacific.
• The adoption of cloud-based data analytics solutions is expected to increase significantly in the coming years, due to the ease of deployment and scalability they offer.
• The use of artificial intelligence and machine learning in data analytics is also expected to grow, as these technologies can help organizations better analyze and interpret large amounts of data.

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Data Analytics Market Trends

• Growing amount of data: The increasing amount of data being generated by businesses and other organizations is driving the need for better analytics tools and techniques.
• Growing adoption of Cloud-based solutions: Many data analytics solutions are now being delivered as cloud-based services, allowing for easier deployment and scalability.
• Data analytics is being used in numerous fields including fashion, healthcare, automobile, petroleum, automation and improve the accuracy of data analytics processes.
• Emergence of technologies and services like
  • Data As A Service
  • Augmented Analytics
  • Data Ops And Observability
  • Data Clean Rooms
  • Synthetic Data Generation
  • Data Mesh
  • ESG Data

These trends are driving the demand for better analytics tools and techniques to extract insights from data and inform business decisions.

Data Analytics Market Dynamics

The data analytics market share is driven by

• Increasing amount of data being generated: The proliferation of data from sources such as social media, IoT devices, and online transactions is driving the need for better analytics tools and techniques.
• Adoption of data-driven decision making: Organizations are increasingly relying on data analytics to inform their decision-making and strategy.
• Technological advancements: The development of new technologies such as artificial intelligence and machine learning is driving the adoption of advanced analytics tools and techniques
• Increased focus on data privacy and security: As data analytics often involves handling sensitive information, there is a growing emphasis on ensuring that this data is protected and used responsibly.

Growth Hampering Factors

• Lack of skilled personnel: There is a shortage of professionals with the necessary skills and expertise to effectively analyze and interpret data.
• Data privacy and security concerns: Ensuring the protection and responsible use of sensitive data is a major challenge in the data analytics market.
• Integration with legacy systems: Many organizations face challenges in integrating new data analytics solutions with their existing systems and processes.

Data Analytics Market Segmentation

The data analytics market can be segmented in a lot of ways, including by type of analytics, by industry, by deployment model, and by region.

By type of analytics

• Descriptive analytics: This type of analytics involves summarizing and describing data.
• Diagnostic analytics: This type of analytics involves identifying the root cause of a problem or issue.
• Predictive analytics: This type of analytics involves using data to forecast future outcomes.
• Prescriptive analytics: This type of analytics involves using data to recommend actions or decisions.

By industry

• Healthcare
• Finance
• Retail
• Manufacturing
• Government
• Others

By deployment model

• On-premises
• Cloud-based

By region

• North America
• Europe
• Asia-Pacific
• Latin America
• Middle East and Africa

Data Analytics Market Regional Overview

• The data analytics industry in North America stands as the largest in terms of generated revenue and is anticipated to experience significant growth due to the large number of data analytics providers in the region and the adoption of advanced technologies such as artificial intelligence and machine learning. The United States has the largest data analytics market share in North America, followed by Canada.
• In Europe, the adoption of data analytics is growing rapidly, with countries like the United Kingdom, Germany, and France leading the way. The region is expected to see significant growth due to the increasing adoption of data analytics in various industries, including healthcare, retail, and financial services.
• The Asia Pacific region is predicted to be the fastest-growing market for data analytics due to the increasing adoption of data analytics in emerging economies such as China and India. The region is home to many small and medium-sized enterprises that are implementing data analytics to improve their operations.

Data Analytics Market Key Players

There are numerous companies and organizations that offer data analytics solutions, including traditional software vendors, specialized analytics firms, and consulting companies. The market is highly competitive, with new players entering the space and established players constantly innovating to stay ahead of the curve.

1. IBM: IBM is a multinational technology company that offers a range of data analytics products and services, including Watson Analytics, IBM Cloud Pak for Data, and IBM Watson Studio.

2. Microsoft: Microsoft offers a range of data analytics products and services, including Power BI, Azure Machine Learning, and Microsoft SQL Server.

3. Oracle: Oracle is a leading provider of database and data analytics products and services, including Oracle Autonomous Data Warehouse, Oracle Analytics Cloud, and Oracle Big Data Cloud.

4. SAP: SAP is a global software company that offers a range of data analytics products and services, including SAP HANA, SAP Analytics Cloud, and SAP BusinessObjects.

5. Tableau: Tableau is a leading provider of data visualization and analysis software, with products including Tableau Desktop, Tableau Server, and Tableau Online.

6. Google: Google offers a range of data analytics products and services, including Google Analytics, Google BigQuery, and Google Cloud AI Platform.

7. SAS: SAS is a leading provider of data analytics and business intelligence software, with products including SAS Visual Analytics, SAS Enterprise Miner, and SAS Forecast Server.

8. Qlik: Qlik is a provider of data visualization and analysis software, with products including Qlik Sense and QlikView.

9. Amazon Web Services (AWS): AWS is a subsidiary of Amazon that offers a range of data analytics products and services, including Amazon Redshift, Amazon QuickSight, and Amazon EMR.

10. Cloudera: Cloudera is a provider of data analytics and management software, with products including Cloudera Enterprise, Cloudera Data Platform, and Cloudera Data Warehouse.

Some Other Key Players in the Data Analytics Market include

Alteryx, adobe, Splunk etc.

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