Press release
Data Science and Machine Learning Platforms Market Is Booming So Rapidly with Google Cloud AI, Microsoft
HTF Market Insights just released the Global Data Science and Machine Learning Platforms Market Study, a comprehensive analysis of the market that spans more than 143+ pages and describes the product and industry scope as well as the market prognosis and status for 2025-2032. The marketization process is being accelerated by the market study's segmentation by important regions. The market is currently expanding its reach.Major companies profiled in Data Science and Machine Learning Platforms Market are:
Google Cloud AI, Microsoft Azure ML, AWS SageMaker, IBM Watson, Databricks, DataRobot, H2O.ai, RapidMiner, SAS Viya, Alteryx, KNIME, Domino Data Lab, Anaconda, TIBCO, MathWorks
Request PDF Sample Copy of Report: (Including Full TOC, List of Tables & Figures, Chart) @ 👉 https://www.htfmarketinsights.com/sample-report/2833565-data-science-and-machine-learning-platforms-market?utm_source=Ganesh_OpenPR&utm_id=Ganesh
According to HTF Market Insights, the global data science platform market size was valued at USD 103.93 billion in 2023 and is projected to grow from USD 133.12 billion in 2024 to USD 776.86 billion by 2032, exhibiting a CAGR of 24.7%.
Our Report Covers the Following Important Topics:
By Type:
AI-powered Data Science Platforms, Cloud-based Machine Learning Tools, Automated Machine Learning (AutoML), Deep Learning Platforms, Big Data Analytics Solutions, Edge AI, Model Deployment & MLOps, Predictive Analytics Software
By Application:
Healthcare, BFSI, IT & Telecom, Retail & E-commerce, Government & Public Sector, Manufacturing, Energy & Utilities, Transportation & Logistics
Definition:
Data science and machine learning platforms enable businesses to analyze vast datasets, build predictive models, and automate decision-making. These platforms integrate AI, big data, and cloud technologies to enhance analytics capabilities across industries.
Dominating Region:
North America, Europe
Fastest-Growing Region:
Asia-Pacific
Market Trends:
AI-driven automation in data science, Low-code & no-code machine learning, Integration of edge computing with AI
Market Drivers:
Growing demand for AI-driven analytics, Increasing adoption of big data, Rising investment in machine learning
Market Challenges:
Data privacy & security challenges, Shortage of skilled professionals, High infrastructure costs
The titled segments and sub-section of the market are illuminated below:
In-depth analysis of Data Science and Machine Learning Platforms market segments by Types: AI-powered Data Science Platforms, Cloud-based Machine Learning Tools, Automated Machine Learning (AutoML), Deep Learning Platforms, Big Data Analytics Solutions, Edge AI, Model Deployment & MLOps, Predictive Analytics Software
Detailed analysis of Data Science and Machine Learning Platforms market segments by Applications: Healthcare, BFSI, IT & Telecom, Retail & E-commerce, Government & Public Sector, Manufacturing, Energy & Utilities, Transportation & Logistics
Global Data Science and Machine Learning Platforms Market -Regional Analysis
• North America: United States of America (US), Canada, and Mexico.
• South & Central America: Argentina, Chile, Colombia, and Brazil.
• Middle East & Africa: Kingdom of Saudi Arabia, United Arab Emirates, Turkey, Israel, Egypt, and South Africa.
• Europe: the UK, France, Italy, Germany, Spain, Nordics, BALTIC Countries, Russia, Austria, and the Rest of Europe.
• Asia: India, China, Japan, South Korea, Taiwan, Southeast Asia (Singapore, Thailand, Malaysia, Indonesia, Philippines & Vietnam, etc.) & Rest
• Oceania: Australia & New Zealand
Buy Now Latest Edition of Data Science and Machine Learning Platforms Market Report 👉 https://www.htfmarketinsights.com/buy-now?report=2833565
Data Science and Machine Learning Platforms Market Research Objectives:
- Focuses on the key manufacturers, to define, pronounce and examine the value, sales volume, market share, market competition landscape, SWOT analysis, and development plans in the next few years.
- To share comprehensive information about the key factors influencing the growth of the market (opportunities, drivers, growth potential, industry-specific challenges and risks).
- To analyze the with respect to individual future prospects, growth trends and their involvement to the total market.
- To analyze reasonable developments such as agreements, expansions new product launches, and acquisitions in the market.
- To deliberately profile the key players and systematically examine their growth strategies.
FIVE FORCES & PESTLE ANALYSIS: Five forces analysis
-the threat of new entrants, the threat of substitutes, the threat of competition, and the bargaining power of suppliers and buyers-are carried out to better understand market circumstances.
• Political (Political policy and stability as well as trade, fiscal, and taxation policies)
• Economical (Interest rates, employment or unemployment rates, raw material costs, and foreign exchange rates)
• Social (Changing family demographics, education levels, cultural trends, attitude changes, and changes in lifestyles)
• Technological (Changes in digital or mobile technology, automation, research, and development)
• Legal (Employment legislation, consumer law, health, and safety, international as well as trade regulation and restrictions)
• Environmental (Climate, recycling procedures, carbon footprint, waste disposal, and sustainability)
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Points Covered in Table of Content of Global Data Science and Machine Learning Platforms Market:
Chapter 01 - Data Science and Machine Learning Platforms Executive Summary
Chapter 02 - Market Overview
Chapter 03 - Key Success Factors
Chapter 04 - Global Data Science and Machine Learning Platforms Market - Pricing Analysis
Chapter 05 - Global Data Science and Machine Learning Platforms Market Background or History
Chapter 06 - Global Data Science and Machine Learning Platforms Market Segmentation (e.g. Type, Application)
Chapter 07 - Key and Emerging Countries Analysis Worldwide Data Science and Machine Learning Platforms Market
Chapter 08 - Global Data Science and Machine Learning Platforms Market Structure & worth Analysis
Chapter 09 - Global Data Science and Machine Learning Platforms Market Competitive Analysis & Challenges
Chapter 10 - Assumptions and Acronyms
Chapter 11 - Data Science and Machine Learning Platforms Market Research Methodology
Thanks for reading this article; you can also get individual chapter-wise sections or region-wise report versions like North America, LATAM, Europe, Japan, Australia or Southeast Asia.
Nidhi Bhawsar (PR & Marketing Manager)
HTF Market Intelligence Consulting Private Limited
Phone: +15075562445
sales@htfmarketintelligence.com
About Author:
HTF Market Insights is uniquely positioned to empower and inspire with research and consulting services to empower businesses with growth strategies, by offering services with extraordinary depth and breadth of thought leadership, research, tools, events, and experience that assist in decision-making.
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