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The global data analytics training market is expected to grow in the forecast period of 2024-2032 at a CAGR of 23%.
The increasing use of technologies in the healthcare industry is surging the deployment of data analytics, hence aiding the market growth. The growing trend of remote healthcare, especially in developed regions, is escalating the demand for sensor devices for efficient remote monitoring of patients. This, in turn, is increasing the deployment of data analytics in the healthcare industry to boost healthcare quality cost-effectiveness, therefore augmenting the market growth.
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In addition, the growing popularity of fitness and wellness wearable devices owing to the rising incidences of health-related issues is increasing the deployment of data analytics to create customised fitness solutions. Moreover, wearable companies are leveraging data analytics to utilise evidence-based methods for providing personalised recommendations for consumers, which is expected to propel the market growth.
The rampant spread of the COVID-19 virus, along with the overwhelming healthcare sector, surged the requirement for efficient monitoring systems, which, in turn, increased the adoption of data analytics to analyse data while providing valuable insights to boost the performance of the healthcare sector. In addition, data analytics was extensively leveraged by government bodies for efficient pandemic response. As contact tracing was predominantly used in various countries, data analytics was deployed to increase the accuracy of contact tracing while aiding in epidemiological modelling. Such extensive uses of data analytics have significantly contributed to the market growth.
Data analytics refer to the process which analyses raw data to identify new patterns and generate new trends. It is deployed in various industries and enterprises to enhance the decision-making process to boost productivity. Moreover, data analytics boosts operational efficiency while preventing security threats in an enterprise. Data analytics training is thus in high demand.
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The major platforms of data analytics training are:
The market can be broadly categorised on the basis of its end uses into:
The EMR report looks into the regional markets of data analytics training like North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.
The advent of Industry 4.0 is surging the use of the latest technologies in various sectors, hence increasing the adoption of data analytics. The rising demand for enhanced efficiency, manufacturing capabilities, and the development of innovative products are leading to a surge in the deployment of data analytics. In addition, data analytics is widely being leveraged in manufacturing activities to monitor production process. This further aids in the identification of potential machine failures and automate maintenance to reduce the risk of errors, which is providing impetus to the growth of the data analytics training industry.
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As various companies are increasingly attempting to enhance consumer experiences, they are leveraging data analytics to understand consumer trends. This is also increasing the use of data analytics to bolster the decision-making process by identifying various consumer trends. Moreover, the growing requirement for efficient management of supply chains is surging the adoption of data analytics. It is also deployed to boost the capabilities of artificial intelligence (AI) and machine learning while providing valuable insights into warehousing, inventory, and supply chain operations, for efficient logistics management, which is expected to bolster the market for data analytics training in the forecast period.
The report presents a detailed analysis of the following key players in the global data analytics training market, looking into their capacity, market shares, and latest developments like capacity expansions, plant turnarounds, and mergers and acquisitions:
The comprehensive report looks into the macro and micro aspects of the industry. The EMR report gives an in-depth insight into the market by providing a SWOT analysis as well as an analysis of Porter’s Five Forces model.
| REPORT FEATURES | DETAILS |
| Base Year | 2023 |
| Historical Period | 2018-2023 |
| Forecast Period | 2024-2032 |
| Scope of the Report |
Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:
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| Breakup by Platform |
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| Breakup by End Use |
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| Breakup by Region |
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| Market Dynamics |
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| Competitive Landscape |
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| Companies Covered |
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| Report Price and Purchase Option | Explore our purchase options that are best suited to your resources and industry needs. |
| Delivery Format | Delivered as an attached PDF and Excel through email, with an option of receiving an editable PPT, according to the purchase option. |
*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*
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The global data analytics training market is projected to grow at a CAGR of 23% between 2024 and 2032.
The market is being aided by the increasing deployment of data analytics in the healthcare sector and the rising use of data analytics during the COVID-19 pandemic due to the demand for structured data.
The market is expected to be aided by the advent of Industry 4.0, the increasing deployment of data analytics in manufacturing activities, and the growing utilisation of data analytics in supply chain management.
The major regions in the industry are North America, Latin America, the Middle East and Africa, Europe, and the Asia Pacific.
The major platforms of data analytics in the industry are online and offline.
The significant end uses in the market are transportation, IT and telecommunication, manufacturing, retail and e-commerce, BFSI, and healthcare, among others.
The major players in the industry are IBM Corporation, Hewlett Packard Enterprise Development LP, Google LLC, Amazon Web Services, and Microsoft Corporation, among others.
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