Data Science and Machine-Learning Platforms Market crucial capabilities, key infrastructures, major organizations, Growth by 2027 | Dataiku, Databricks

Dec 27, 2021 (Market intelligence data) — This “Data Science and Machine-Learning Platforms” market report 2022-2027 provides a new commercial capability with an evolved operating model that prioritizes consumer closeness and local decision-making in Data Science and Machine-Learning Platforms markets, as well as intelligent productivity gains to fuel commercial investments. Also report will help reader to necessitate more dynamic resource allocation and greater use of mergers, acquisitions, and divestitures (M&A&D) to improve portfolio composition.

In regards to explaining powerful insights and analyzes the crucial capabilities, key infrastructures, major organizations, evaluates measures to attain potential success in the Data Science and Machine-Learning Platforms industry. Because of the in-depth overview of the Global Data Science and Machine-Learning Platforms market, the recent papers allow investors, traders, and manufacturers to plan some innovative techniques, and meanwhile, align them with operational and commercial enterprise models.

The global Data Science and Machine-Learning Platforms market (hereafter, referred to as the market studied) was valued at USD 31.05 billion in 2020, and it is expected to reach USD 230.80 billion by 2027, registering a CAGR of 39.7 % during the forecast period, 2022-2027.

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The leading market players listed are:

SAS, Alteryx, IBM, RapidMiner, KNIME, Microsoft, Dataiku, Databricks, TIBCO Software, MathWorks, H20.ai, Anaconda, SAP, Google, Domino Data Lab, Angoss, Lexalytics, Rapid Insight

A holistic study of the market is made by considering a variety of factors, from demographics conditions and business cycles in a particular country to market-specific microeconomic impacts. The study found the shift in market paradigms in terms of regional competitive advantage and the competitive landscape of major players.

Recent Developments
May 2021- Alteryx Inc., an Analytics Automation company, announced the launch of innovations in analytics and data science automation, analytics in the cloud, machine learning (ML), and artificial intelligence (AI) during the company’s Virtual Global Inspire conference. Alteryx Machine Learning provides guided, explainable, and fully automated machine learning (AutoML), allowing both analysts and data scientists to easily leverage the latest ML algorithms and data science best practices to drive analytic maturity into their enterprise.
May 2021- Zeotap,a Customer Data Platform, announced the launch of Predictive Audiences as part of its award-winning Customer Intelligence Platform (CIP). It is dsigned to help marketing users increase the impact of their campaigns, it enables the creation and application of machine-learned predictive segments in just a few clicks.

Types of Products:

Open Source Data Integration Tools
Cloud-based Data Integration Tools

Application spectrum:

Small-Sized Enterprises
Medium-Sized Enterprise
Large Enterprises

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Regions and Countries Level Analysis:

North America to Hold Maximum Market Share
North America is expected to hold the largest share of the data science platform market due to large enterprises, technical experts, and the growing demand for data science platforms in this region. With about 1.2 billion clinical documents being produced in the United States annually, healthcare practitioners and doctors have a significant amount of data to base their research upon. Moreover, vast volumes of health-related information are made accessible through the widespread adoption of wearable tech in the region, thus offering new opportunities for the region's better, more informed healthcare system.
Further, the presence of many capital-intensive industries across this region proves to be beneficial for the growth of the data science platform. With the growing awareness of the benefits of these platforms, enterprises continue to integrate them into their existing operating system to gain a competitive advantage in the region's marketplace.

The report offers an in-depth assessment of the growth and other aspects of the Data Science and Machine-Learning Platforms market in important countries (regions), including:

North America (the United States, Canada, and Mexico)

Europe (Germany, France, UK, Russia, and Italy)

Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)

South America (Brazil, Argentina, etc.)

Middle East & Africa (Saudi Arabia, Egypt, Nigeria, and South Africa)

Browse the Full report description and TOC at: 

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Research Objectives:

To study and analyze the global Data Science and Machine-Learning Platforms consumption (value & volume) by key regions/countries, type and application, history data from 2022 to 2027, and forecast to 2027.

To understand the structure of Data Science and Machine-Learning Platforms market by identifying its various subsegments.

Focuses on the key global Data Science and Machine-Learning Platforms manufacturers, to define, describe and analyze the sales volume, value, market share, market competition landscape, SWOT analysis and development plans in next few years.

To analyze the Data Science and Machine-Learning Platforms with respect to individual growth trends, future prospects, and their contribution to the total market.

To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).

To project the consumption of Data Science and Machine-Learning Platforms submarkets, with respect to key regions (along with their respective key countries).

To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.

To strategically profile the key players and comprehensively analyze their growth strategies.

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Report customization:

Our progressive statistics mining generation lets in us to offer our clients with one-of-a-kind and custom designed insights even as keeping accuracy and speed.

In all key aspects—regions, marketplace segments, and aggressive panorama levels—we customise studies statistics. Every time a record is purchased, we offer forty hours of loose custom analyst time.

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