The Global Data Science and Predictive Analytics Market size is expected to grow from USD 13.7 billion in 2022 to USD 58.13 billion by 2030, at a CAGR of 19.8% during the forecast period (2023-2030).
The market for Data Science and Predictive Analytics Market enables the application of cutting-edge analytics methods and scientific ideas to extract vital information from data for a range of corporate tasks, including strategic planning and decision-making. Utilizing historical data in conjunction with statistical modeling, machine learning, and data mining techniques, predictive analytics is a subset of data analytics and a crucial component of data science. By identifying trends in this data, most businesses utilize these strategies to forecast possibilities in the future. Risks in the firm are also identified using data analytics. It is the last phase of data science analysis that provides an immediate outcome based on past data. The business or enterprises regularly generate enormous amounts of data, which aids
Players Covered in the Data Science and Predictive Analytics Market are:
IBM (US), MICROSOFT (US), ORACLE(US), SAP (GERMANY), SAS INSTITUTE (US), GOOGLE (US), SALESFORCE (US), AWS (US), HPE (US), TERADATA (US), ALTERYX (US), FICO (US), ALTAIR (US), DOMO (US), CLOUDERA (US)
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The global Data Science and Predictive Analytics Market is in-depth and offers a comprehensive analysis of the major growth determinants, the market share, current trends, key players, and their future predictions. In addition, market demand and supply, each geographical region's growth rate, and market potential are all included in the Data Science and Predictive Analytics Market study. The market research includes raw materials, marketing channels, client surveys, industry trends and proposals, CAGR status, product scope Weather Monitoring Solutions and Services Market, major leading countries/regions, market risk, and market driving force. The market prediction was based on a thorough market investigation completed by several industry experts
Segmentation Analysis of the Data Science and Predictive Analytics Market Report:
The Data Science and Predictive Analytics Market can be segmented based on various factors to provide a comprehensive understanding of the industry. Common segmentation criteria include:
By Type
- Solution
- Services
By Industry Vertical
- BFSI
- Healthcare
- Telecommunications and IT
- Others
By Firm Size
- Large
- Small
Intelligent Agencies Market Share Data Market Segment by Regions and Countries Level Analysis:
- North America (U.S., Canada, Mexico)
- Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest of Eastern Europe)
- Western Europe (Germany, U.K., France, Netherlands, Italy, Russia, Spain, Rest of Western Europe)
- Asia-Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The Philippines, Australia, New Zealand, Rest of APAC)
- Middle East & Africa (Turkey, Saudi Arabia, Bahrain, Kuwait, Qatar, UAE, Israel, South Africa)
- South America (Brazil, Argentina, Rest of SA)
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Opportunities:
Penetration of AI and IoT technology:
Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act pre-emptively. AI in predictive analytics is very productive it takes the existing data and unlocks immense value from that data. AI-powered analytics help to get leads of potential customers, and predict what target audiences want to buy or consume. This advancement and adoption of modern technology fuel the growth of the market. Additionally, IoT is giving opportunities for collecting numerous data for any industry. Social media, and multimedia, produce a lot of data and for the analysis of this massive data; companies are using data science and predictive analytics and tools to generate better futuristic results. As a result, AI and IoT are providing growth opportunities for the data science and predictive analytics market.
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