The global data analytics market size was exhibited at USD 41.39 billion in 2022 and is projected to surpass around USD 346.33 billion by 2030, poised to grow at a projected CAGR of 30.41% during the forecast period 2022 to 2030.
Data analytics is a statistical strategy for evaluating and looking at a lot of data to get a good result. Insightful knowledge that can aid in corporate growth can be gained from the data processed in this way, which can be gleaned from historical trends.
Businesses need data analytics because it gives them the ability to manage, process, and simplify large datasets in real time while also enhancing their capacity for data-driven decision-making. Additionally, the main objective of big data and business analytics is to help businesses better understand their clients and target markets, hence enhancing marketing efforts. These qualities are anticipated to boost acceptance by numerous companies from various industries, which would propel the expansion of the big data market.
Numerous new business prospects are anticipated to arise as a result of recent breakthroughs in big data analytics, including social media analytics and text analytics. Furthermore, many businesses have turned to social media as their main source for a range of advertising campaigns, product promotions, and events because it is more efficient than traditional advertising. Additionally, the expansion of social media analytics is encouraged by the rise in popularity of internet-connected mobile devices like smartphones and tablets as well as the rising number of users on social media platforms. Client demands are always changing in a business climate where organizations must operate quickly.
Companies look to historical data about their past performances in addition to current information about their customers, goods, services, and business processes in order to obtain insights and discover historical trends and patterns. In order to examine these patterns, find new business opportunities, and create strategies based on recent insights, several industries have adopted business analytics software and solutions. This is then anticipated to further accelerate the expansion of the big data market.
Report Scope of the Data Analytics Market
|Market Size in 2022||USD 41.39 Billion|
|Market Size by 2030||USD 346.33 Billion|
|Growth Rate from 2022 to 2030||CAGR of 30.41%|
|Forecast Period||2022 to 2030|
Key Market Drivers
The growing trend of edge computing
Key Market Challenges
Growing security concerns
Key Market Opportunities
Consumption of the data is rising
In 2021, the big data analytics market share was greater than 35%. The segment's expansion can be ascribed to the rising use of social media sites and the rise in virtual businesses that generate significant amounts of data. Additionally, the development of SaaS-based data analytics has helped automation installation simpler and permitted the creation of powerful analytical models using self-service paradigms. Big data solutions providers have been urged to enhance their funds in cloud technology in order to acquire a competitive advantage to the increased demand for big data analytics solutions.
With the rising demand for customer retention, better lead management, and client experience management, the customer analytics segment is anticipated to enjoy a remarkable CAGR of 20.1%. The retail sector makes extensive use of customer analytics to create individualized communications in addition to marketing initiatives.
The retail industry's customers' rising demand for an omnichannel experience has fueled the segment's rise. Well-known businesses like Walmart and Amazon have been effective in leveraging the advantages of various social media sites like Facebook. The segment is expected to develop as a result of more retail businesses focusing on providing omnichannel services to their customers.
In 2021, the on-premise market share was greater than 45%. On-premise installations give businesses more freedom and control over how to tailor their IT infrastructure, also decreasing their reliance on the web and safeguarding sensitive company information from theft and fraud. It is projected that these advantages will persuade major enterprises to choose an on-premise deployment.
In addition, businesses in the BFSI industry favor the on-premise method due to increased worries about scams such as new account fraud and account takeovers. On-premise businesses are more resistant to these scams, which is good news for the segment's expansion.
Over the course of the projected period, the cloud segment is anticipated to experience significant expansion. Cloud solutions demand is anticipated to expand as IoT and cloud computing becomes more widely adopted. Modern cloud analytics tools continue to have an impact on how businesses manage, organize, and utilize the data produced by digital channels.
Enterprise Size Insights
In 2021, the large companies' market share was over 60%, making it the largest. The increased use of sophisticated analytics solutions, like customer & business analytics, for major organizations' efficient management of their enormous customer and asset databases, can be contributed to the segment's growth.
In addition, a number of significant businesses are implementing data analytics to boost their revenues, advance analytics expertise, and strengthen risk management competencies. Data analytics also helps businesses better analyze the data and disseminate critical information to those who need it.
In 2021, the SME sector controlled more than 35% of the market. It is projected that SMEs would increase their need for data analytics solutions due to the increased need for dashboards for data visualization. Additionally, SMEs choose data analytics tools to improve customer service and take better risk-related decisions.
End User Insights
In 2021, the BFSI sector held the greatest share of almost 25%. The continued use of data analytics for spotting fraudulent transactions, streamlining workflows, and managing data risks can be blamed for the segment rise. In addition, it is anticipated that the market would grow as a result of the increased utilization of BI software to offer continuous access to customer databases, secure transactions, and advance the client experience.
These technologies assist financial organizations in sorting unstructured data, guaranteeing regulatory compliance, and improving operational efficiency and consumer experiences.
In 2021, the IT and telecom sectors had a share of more than 20%. The increase in demand for tools like video conferencing and web conferencing is responsible for the market growth. Additionally, businesses in this industry are implementing cutting-edge analytical techniques to stop fraud like unauthorized access, or cloning.
Furthermore, thanks to big data analytics, telecom businesses can create micro-segments for the numerous clients they service. As a result, these businesses might be able to identify their most important clients and tailor their offers to suit their demands.
In 2021, North America accounted for a significant 45% of the worldwide market for data analytics. This is due to the availability of infrastructure that supports the use of cutting-edge analytics and the rise in the usage of cutting-edge technologies like AI and machine learning.
Over the course of the projected period, the Asia Pacific market is predicted to display a noteworthy CAGR of 23.5%. The regional market is expanding as a result of big data analytics tools and solutions being widely used there. Additionally, a number of businesses in the area are making significant investments in customer analytics to boost productivity and efficiency. Additionally, regional travel agencies including TNT Korea Travel, China Ways LLC, and Trafalgar are implementing analytical tools for uses like monitoring bus timetables, railway schedules, train breakdowns, and traffic management.
On April 20, 2022, An Augmented Intelligence business named DataRobot and Wipro formed a strategic alliance. The goal of the alliance is to accelerate the business impact of customers by delivering augmented intelligence at scale and assisting them in becoming AI-driven organizations. This collaboration will ensure that AI strategy is implemented more quickly and that businesses receive their "data to value" more quickly. During August 2021
Key Market Players
Segment Covered in the Report
By Enterprise Size
By End Use
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