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Market Report on Data Analytics: Understanding Size, Share, Growth Trajectories

The global data analytics market size is estimated to reach USD 302.01 billion by 2030, expanding at a CAGR of 28.7% from 2025 to 2030, according to a new report by Grand View Research, Inc. The data analytics industry is essential for improving business operations and reducing data loss. Moreover, it enables businesses to develop marketing strategies, accelerate corporate growth, and distinguish themselves from rivals while retaining procurement efficiency. These factors are expected to increase acceptance by numerous companies from various industries, propelling the data analytics market forward.

Businesses use data analytics to make informed decisions by collecting available data, identifying industry trends, and adequately managing assets. Moreover, data close to the source or destination reduces server and network strain while increasing the speed of data uploads to on-premises or cloud systems. For instance, in August 2022, Thermo Fisher Scientific Inc., a supplier of scientific instrumentation and software services in the U.S., partnered with Structura Biotechnology, a developer of software solutions for cryo-EM data processing in Canada, to deliver a software solution, Embedded CryoSPARC Live. This solution is intended to provide cryo-EM data analysis in real time, which will assist users in transitioning to a more optimized cryo-EM workflow.

The advantages of data analytics have led to enhanced decision-making ability, increased efficiency, and productivity in the healthcare industry. Health IT officials must determine what level of data to retain, apply rules to maintain data quality and ensure validation with the lead organization's systems. Moreover, data analytics allow healthcare providers to go beyond historical data and use predictive modeling to improve patient care and treatment outcomes. For instance, in January 2022, Francisco Partners, an investment firm in the U.S., acquired healthcare data and analytics assets from IBM, a U.S.-based technology company. This acquisition is designed to strengthen the investment and expertise of a healthcare-focused portfolio.

Government, banking and securities, education, transportation, retail, media and entertainment, and other industries have seen an immediate need for data analytics solutions and tools. These industries can use data analytics tools to maximize efficiency and minimize resources and time by improving their decision-making capabilities with data-driven insights. For instance, in August 2021, Wipro Limited, an Indian information technology company, collaborated with DataRobot Inc., a U.S.-based software company. This collaboration aimed to accelerate AI strategy execution and streamline the process of incorporating AI-led intelligence into customer business decisions.

The Asia Pacific region is expected to grow at the fastest CAGR of 34.2% from 2023 to 2030. The region is experiencing significant growth in the data analytics market, with countries such as China and India driving growth. The market is characterized by a focus on data analytics, as companies seek to leverage the massive amounts of data generated by the region's large population. Additionally, there is a growing trend toward the adoption of cloud-based solutions and the integration of AI and ML.

For More Details or Sample Copy please visit link @: Data Analytics Market Report

Data Analytics Market Report Highlights

  • Cloud-based data analytics solutions have become increasingly popular, as they offer scalability, flexibility, and cost-effectiveness. This trend is expected to continue as more companies seek to leverage the power of big data without investing in expensive on premise infrastructure.
  • As data analytics become more complex, there is a growing need for automation and machine learning. Companies are integrating AI and ML into their data analytics workflows to streamline processes and gain more insights.
  • The security intelligence segment dominates the market, with prominent revenue share in 2024. With the growing importance of data, there is also a greater need for data privacy and security. Companies are investing in technologies that enable them to secure their data and comply with regulations such as GDPR and CCPA.
  • North America data analytics market accounted for a dominant global share of 31.75% in 2024. The market is characterized by the adoption of advanced technologies such as AI and ML, and the trend towards cloud-based solutions.

Research Methodology

We employ a comprehensive and iterative research methodology focused on minimizing deviance in order to provide the most accurate estimates and forecasts possible. We utilize a combination of bottom-up and top-down approaches for segmenting and estimating quantitative aspects of the market. Data is continuously filtered to ensure that only validated and authenticated sources are considered. In addition, data is also mined from a host of reports in our repository, as well as a number of reputed paid databases. Our market estimates and forecasts are derived through simulation models. A unique model is created and customized for each study. Gathered information for market dynamics, technology landscape, application development, and pricing trends are fed into the model and analyzed simultaneously.

About Grand View Research      

Grand View Research provides syndicated as well as customized research reports and consulting services on 46 industries across 25 major countries worldwide. This U.S. based market research and consulting company is registered in California and headquartered in San Francisco. Comprising over 425 analysts and consultants, the company adds 1200+ market research reports to its extensive database each year. Supported by an interactive market intelligence platform, the team at Grand View Research guides Fortune 500 companies and prominent academic institutes in comprehending the global and regional business environment and carefully identifying future opportunities.

 

 

 

#DataAnalytics #DataAnalyticsMarket #BigDataAnalytics #AdvancedAnalytics #BusinessAnalytics #DataDriven

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