AMA Research & Media

How Data Science and ML Platforms Market Is Exploring Growth with MathWorks, Alteryx, IBM

 

NJ New Jersey, USA -- (SBWIRE) -- 11/04/2022 -- The latest study released on the Global Data Science and ML Platforms Market by AMA Research evaluates market size, trend, and forecast to 2027. The Data Science and ML Platforms market study covers significant research data and proofs to be a handy resource document for managers, analysts, industry experts and other key people to have ready-to-access and self-analyzed study to help understand market trends, growth drivers, opportunities and upcoming challenges and about the competitors.

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Key Players in This Report Include:
MathWorks (United States), Alteryx (United States), IBM (United States), Dataiku (United States), DataRobot (United States), SAS (United States), Databricks (United States), KNIME (United States), Amazon Web Services (AWS) (United States), Google (United States)

Definition:
Data science and ML platforms are software products that data scientists use to help them develop and deploy their own data science and machine-learning solutions. It is a cohesive software application that offers a mixture of basic building blocks essential both for creating many kinds of data science solutions and incorporating such solutions into business processes, surrounding infrastructure, and products. Machine learning is a popular subset of data science that warrants specific attention when evaluating these platforms.

Market Trends:
Technological Advancement over the Globe

Market Drivers:
Increasing Application of Data Science and ML Platforms to Build Models in Manufacturing Sector

Market Opportunities:
Growing Demand from Educational Institutes can create Opportunities for the Market Growth
The surge in Data and its Correlated Fields

The Global Data Science and ML Platforms Market segments and Market Data Break Down are illuminated below:
by Organization Size (Small and Medium Enterprises (SMEs), Large Enterprises), Platform (Windows, Linux, Others), Deployment (Cloud-based, Web-based, Others), Verticals (Banking, Pharmaceuticals, Manufacturing, Retail and CPG, Others)

Global Data Science and ML Platforms market report highlights information regarding the current and future industry trends, growth patterns, as well as it offers business strategies to helps the stakeholders in making sound decisions that may help to ensure the profit trajectory over the forecast years.

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Geographically, the detailed analysis of consumption, revenue, market share, and growth rate of the following regions:

The Middle East and Africa (South Africa, Saudi Arabia, UAE, Israel, Egypt, etc.)
North America (United States, Mexico & Canada)
South America (Brazil, Venezuela, Argentina, Ecuador, Peru, Colombia, etc.)
Europe (Turkey, Spain, Turkey, Netherlands Denmark, Belgium, Switzerland, Germany, Russia UK, Italy, France, etc.)
Asia-Pacific (Taiwan, Hong Kong, Singapore, Vietnam, China, Malaysia, Japan, Philippines, Korea, Thailand, India, Indonesia, and Australia).

Objectives of the Report
-To carefully analyze and forecast the size of the Data Science and ML Platforms market by value and volume.
-To estimate the market shares of major segments of the Data Science and ML Platforms
-To showcase the development of the Data Science and ML Platforms market in different parts of the world.
-To analyze and study micro-markets in terms of their contributions to the Data Science and ML Platforms market, their prospects, and individual growth trends.
-To offer precise and useful details about factors affecting the growth of the Data Science and ML Platforms
-To provide a meticulous assessment of crucial business strategies used by leading companies operating in the Data Science and ML Platforms market, which include research and development, collaborations, agreements, partnerships, acquisitions, mergers, new developments, and product launches.

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Major highlights from Table of Contents:

Data Science and ML Platforms Market Study Coverage:
It includes major manufacturers, emerging player's growth story, and major business segments of Data Science and ML Platforms market, years considered, and research objectives. Additionally, segmentation on the basis of the type of product, application, and technology.
Data Science and ML Platforms Market Executive Summary: It gives a summary of overall studies, growth rate, available market, competitive landscape, market drivers, trends, and issues, and macroscopic indicators.
Data Science and ML Platforms Market Production by Region Data Science and ML Platforms Market Profile of Manufacturers-players are studied on the basis of SWOT, their products, production, value, financials, and other vital factors.

Key Points Covered in Data Science and ML Platforms Market Report:
Data Science and ML Platforms Overview, Definition and Classification Market drivers and barriers
Data Science and ML Platforms Market Competition by Manufacturers
Impact Analysis of COVID-19 on Data Science and ML Platforms Market
Data Science and ML Platforms Capacity, Production, Revenue (Value) by Region (2021-2027)
Data Science and ML Platforms Supply (Production), Consumption, Export, Import by Region (2021-2027)
Data Science and ML Platforms Production, Revenue (Value), Price Trend by Type
Data Science and ML Platforms Market Analysis by Application
Data Science and ML Platforms Manufacturers Profiles/Analysis Data Science and ML Platforms Manufacturing Cost Analysis, Industrial/Supply Chain Analysis, Sourcing Strategy and Downstream Buyers, Marketing
Strategy by Key Manufacturers/Players, Connected Distributors/Traders Standardization, Regulatory and collaborative initiatives, Industry road map and value chain Market Effect Factors Analysis.

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Key questions answered
How feasible is Data Science and ML Platforms market for long-term investment?
What are influencing factors driving the demand for Data Science and ML Platforms near future?
What is the impact analysis of various factors in the Global Data Science and ML Platforms market growth?
What are the recent trends in the regional market and how successful they are?

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