While deep learning is driving advances in artificial intelligence that are changing our world, data engineering is the foundation for the new world of Big Data.

Udacity, a silicon-valley-based global lifelong learning platform, has released the list of the most popular Nanodegree programs in India in 2020. The data is based on the number of enrollments during the year, showing the demand across different states and union territories.

Deep learning and data engineering are top Nanodegree programs showing the country’s growing interest in AI and data. While deep learning is driving advances in artificial intelligence that are changing our world, data engineering is the foundation for the new world of Big Data.

There is no doubt about the fact that COVID-19 has changed the global job landscape. This can be clearly seen in how the demand for some of the Nanodegree programs shifted in 2020 vis-a-vis 2019. Take a look:

There has always been huge traction amongst learners to upskill themselves on the tech front. In the wake of the pandemic, rapid digital adoption has further made advanced courses more desirable worldwide for forward-looking professionals. The findings reinstate that the demand for technology-oriented jobs is continually growing and many regions have also been able to leverage technology to upskill themselves for futuristic job profiles.

Here are some key findings:

Deep learning is big in Karnataka

Karnataka holds the lion’s share for maximum Nanodegree programs. As much as 24% demand for Deep Learning and 34% of the total demand for Data Engineering Nanodegree programs comes from this state.  The demand for AI Product Manager (38%) and Product Manager (60%) is also the highest in the state. 

Maharashtra digs on data

Data Science and Deep Learning are the most popular Nanodegree programs in Maharashtra. The Product Manager Nanodegree program is popular in Maharashtra. More than 40% of the enrollments come from this state. It is also a popular destination for data science Nanodegree program and Machine Learning Engineer Nanodegree program with 25% and 21% enrollments coming from these regions respectively.

Delhi is all about data & programming

The Indian capital, Delhi, is a frontrunner in the mainstream programming languages. It drew 22% and 23% demand for C++ and Full Stack Web Developer. The Data Analyst Nanodegree program is also big in the region with 21% enrollments coming from the National Capital Region.

Telangana produces more developers

The state of Telangana racked in 16% of enrollments for the Full Stack Web Development Nanodegree program and C++ Nanodegree programs. The Machine Learning Nanodegree program is also big in the state with around 11% enrollments coming from it.

More than half of self-driving car engineers come from Tamil Nadu

Tamil Nadu produced more than 50% Self-Driving car engineers in 2020 in India. Computer Vision and Machine Learning Nanodegree programs are also popular in the state.

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The shift towards deep learning and data engineering is an indication of the country’s growing interest in artificial intelligence and big data

Udacity has released the list of the most popular Nanodegree programs in India in 2020. The data is based on the number of enrollments during the year, showing the demand across different states and union territories. Deep learning and data engineering were the top Nanodegree programs showing the country’s growing interest towards artificial intelligence and data. While deep learning is driving advances in artificial intelligence that are changing our world, data engineering is the foundation for the new world of Big Data.

There is no doubt about the fact that COVID-19 has changed the global job landscape, said a statement from the company. This can be clearly seen in how the demand for some of the Nanodegree programs shifted in 2020 vis-a-vis 2019. Take a look:

There has always been huge traction amongst learners to upskill themselves on the tech front. In the wake of the pandemic, rapid digital adoption has further made advanced courses more desirable worldwide for forward-looking professionals. The findings reinstate that the demand for technology-oriented jobs is continually growing and many regions have also been able to leverage technology to upskill themselves for futuristic job profiles.

Here are some key findings with regard to deep learning

1. Deep Learning is Big in Karnataka

Karnataka holds the lion’s share for maximum Nanodegree programs. As much as 24% demand for Deep Learning and 34% of the total demand for Data Engineering Nanodegree programs comes from this state.  The demand for AI Product Manager (38%) and Product Manager (60%) is also the highest in the state.

2. Maharashtra Digs On Data

Data Science and Deep Learning are the most popular Nanodegree programs in Maharashtra. The Product Manager Nanodegree program is popular in Maharashtra. More than 40% of the enrollments come from this state. It is also a popular destination for data science Nanodegree program and Machine Learning Engineer Nanodegree program with 25% and 21% enrollments coming from these regions respectively.

3. Delhi is All About Data and Programming

The Indian capital, Delhi, is a frontrunner in the mainstream programming languages. It  drew 22% and 23% demand for C++ and Full Stack Web Developer. The Data Analyst Nanodegree program is also big in the region with 21% enrollments coming from the National Capital Region.

4. Telangana Produces More Developers

The state of Telangana racked in 16% of enrollments for the Full Stack Web Development Nanodegree program and C++ Nanodegree programs. The Machine Learning Nanodegree program is also big in the state with around 11% enrollments coming from it.

5. More than half Self-Driving Car Engineers Come From Tamil Nadu

Tamil Nadu produced more than 50% Self-Driving car engineers in 2020 in India. Computer Vision and Machine Learning Nanodegree programs are also popular in the state.

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The key focus of Big Data in E-commerce market report is to evaluate the performance of the industry in the ensuing years to help stakeholders take better decisions and expand their business portfolio. The document highlights the key growth trends as well as the opportunities and how they can be exploited to generate maximum profits. In addition, it empowers industry partakers with methodologies that can be adopted to effectively deal with the existing and upcoming challenges. Besides, it gauges the impact of COVID-19 on this business sphere and attempts to monitor its future implications on the market scenario for a stronger realization of the growth prospects.

Key pointers from COVID-19 impact assessment:

• Socio-economic impact of COVID-19 on the global economy and Big Data in E-commerce market.
• Shifts in supply and demand share.
• Predicted long-term COVID-19 outlook on the growth of the industry.

Summary of the regional analysis:

• Geographically, the Big Data in E-commerce market is split into North America, Europe, Asia-Pacific, South America, Middle East & Africa, South East Asia.
• Contribution of each geography to the overall growth in given in the report.
• Growth rate, revenue, and sales of each regional market are discussed extensively.

Other crucial pointers from the Big Data in E-commerce market report:

• The Big Data in E-commerce market, based on the product terrain, is categorized into Cloud-based andOn-premises.
• Information regarding the estimated revenue and volume share of ever product type is documented.
• Data pertaining to growth rate, market share, and production pattern of each product category over the forecast timespan is given as well.
• The report segments the application spectrum of the Big Data in E-commerce market into Online Classifieds,Online Education,Online Financials,Online Retail,Online Travel and Leisure andOthers.
• Each application segment’s market share and predicted growth rate are thoroughly discussed.
• Leading organizations influencing the market dynamics are Dell Inc,Teradata Corp,Data Inc,Facebook,Hewlett Packard Enterprise (Hpe),Palantir Technologies, Inc,Hitachi, Ltd,Twitter,SAP Se,Whatsapp,IBM Corp,Oracle Corp,Microsoft Corp,Splunk Inc,Amazon Web Services, Inc andSAS Institute Inc.
• The study examines the mentioned firms with respect to their market share, gross margins, market remuneration, pricing pattern, production capacity, and product & service portfolio.
• The document elaborates the prevailing competition trends and their implications on businesses.
• A granular analysis of supply chain, including details about providers, consumers, as well as manufacturers is encompassed in the study.
• Moreover, the study determines the investment viability of a new project through several practices such as Porter’s Five Forces analysis and SWOT assessment.

Key features of the report:

• Intricate details of each organization.
• Information regarding market share, product sale price, manufacturing base distribution, total revenue generated, and sales.
• Latest developments of the leading players.
• Sales amassed by each company with respect to their operational areas.

Highlights of the Report:

• Accurate market size and CAGR forecasts for the period 2020-2025
• Identification and in-depth assessment of growth opportunities in key segments and regions
• Detailed company profiling of top players of the global Big Data in E-commerce market
• Exhaustive research on innovation and other trends of the global Big Data in E-commerce market
• Reliable industry value chain and supply chain analysis
• Comprehensive analysis of important growth drivers, restraints, challenges, and growth prospects

The scope of the Report:

The report offers a complete company profiling of leading players competing in the global  Big Data in E-commerce market with a high focus on the share, gross margin, net profit, sales, product portfolio, new applications, recent developments, and several other factors. It also throws light on the vendor landscape to help players become aware of future competitive changes in the global Big Data in E-commerce market.

Reasons to Buy the Report:

• Upgrade your market research resources with this comprehensive and accurate report on the global Big Data in E-commerce market
• Get a complete understanding of general market scenarios and future market situations to prepare for rising above the challenges and ensuring strong growth
• The report offers in-depth research and various tendencies of the global Big Data in E-commerce market
• It provides a detailed analysis of changing market trends, current and future technologies used, and various strategies adopted by leading players of the global Big Data in E-commerce market
• It offers recommendations and advice for new entrants the global Big Data in E-commerce market and carefully guides established players for further market growth
• Apart from the hottest technological advances in the global Big Data in E-commerce market, it brings to light the plans of dominant players in the industry

Table of Contents:

Industry Overview of Big Data in E-commerce Market

Industry Chain Analysis of Big Data in E-commerce Market

Manufacturing Technology of Big Data in E-commerce Market

Major Manufacturers Analysis of Big Data in E-commerce Market

Global Productions, Revenue and Price Analysis of Big Data in E-commerce Market by Regions, Manufacturers, Types, and Applications

Consumption Volumes, Consumption Value, Import, Export and Sale Price Analysis of Big Data in E-commerce by Regions

Gross and Gross Margin Analysis of Big Data in E-commerce Market

Marketing Traders or Distributor Analysis of Big Data in E-commerce Market

Global and Chinese Economic Impacts on Big Data in E-commerce Industry

Development Trend Analysis of Big Data in E-commerce Market

Contact information of Big Data in E-commerce Market

New Project Investment Feasibility Analysis of Big Data in E-commerce Market

Conclusion of the Global Big Data in E-commerce Market Industry 2020 Market Research Report

The post Big Data in E-commerce Market Size, Share 2020 By Development, Trend, Key Manufacturers appeared first on Artificial Intelligence.

The report contains an overview explaining Data Science and Machine Learning Service Market on a world and regional basis. Global Data Science and Machine Learning Service market report is a definitive source of information and provides the latest market research, evolving consumer trends with actionable information about new players, products, and technologies. Our analysts have statistical data to provide information about the statistical report, including the factors that drive and impede the market growth.

The study is an integrated effort of primary and secondary research. The report provides an overview of the key drivers affecting the generation and growth limitation of Data Science and Machine Learning Service market. In addition, the report also examines competitive developments, such as mergers and acquisitions, new partnerships, new contracts, and new products in the world market. The past trends and future prospects presented in this report make it very comprehensible to market analysis. Furthermore, the latest trends, product portfolio, demography, geographic segmentation, and market regulatory framework Data Science and Machine Learning Service were also included in the study.

Description:

• Data Science and Machine Learning Service is the process of manipulating a manufacturer’s product return
• Data Science and Machine Learning Service Market Competitiveness by Major Manufacturers/ Key Player Profile:
  DataScience.com

• ZS
  LatentView Analytics
  Mango Solutions
  Microsoft
  International Business Machine
  Amazon Web Services
  Google
  Bigml
  Fico
  Hewlett-Packard Enterprise Development
  At&T

Market Segment according to type covers:

• Consulting
  Management Solution

Market segment by applications may be broken down into:

• Banking
  Insurance
  Retail
  Media & Entertainment
  Others

Fundamental Highlights

• Primary strategies of key players
• Global elements driving the market
• Rising and advanced markets
• A comprehensive description of the international competitors
• Market kinetics impacting the global market
• Assessment of niche business areas
• Elements compelling or restraining the market growth
• Market share analysis

And More…

The following section also highlights the supply-to-consumption gap. In addition to the above data, the growth rate of Data Science and Machine Learning Service market in 2026 is also explained. Moreover, consumption charts by type and application are also given.

Purpose of Studies:

World Market Report Data Science and Machine Learning Service Industry primarily covers 10 sections in the table as follows: –

• Industry Overview of Data Science and Machine Learning Service covers: – Definition, Provisions, Classification, Characteristics, and Applications
• Data Science and Machine Learning Service Manufacturing Cost & Price Structure Analysis includes: – Raw Material and their Suppliers, Manufacturing Cost Structure Analysis, Sales Price Structure Analysis, Break Even Analysis, and Process Analysis.
• Production Description:- Capacity and Commercial Production Date of Data Science and Machine Learning Service Major Manufacturers in 2018, Distribution of Manufacturing Plants, R&D Status and Technology Source and Analysis of Raw Materials Sources.
• Global Data Science and Machine Learning Service Overall Market Overview includes: – Comprehensive Market Analysis ranging from Production to turnover.
• Data Science and Machine Learning Service Regional Market Analysis contain:-The marketplace is analyzed across 4 regions: North America, Asia-Pacific, Europe, and RoW.
• Global 2015-2020 Data Science and Machine Learning Service Segment Market Analysis (by Type):- Sales and Factors responsible for Sales Growth
• Global 2015-2020 Data Science and Machine Learning Service Segment Market Analysis (by Application) covered:- Application by end-use, Consumer Analysis
• Leading Manufacturers Analysis of Data Science and Machine Learning Service around the globe includes:- Analysis on each Company Profile, Product Picture and Stipulation, Sales, Ex-factory Price, Revenue, Gross Margin Analysis, Business Region Distribution Analysis
• Development Trend of Data Science and Machine Learning Service Market Analysis: – Data Science and Machine Learning Service Market Trend Analysis, Market Size (Volume and Value) projection, Regional Market Trend, Market Trend according to Product Type and Applications.
• Data Science and Machine Learning Service Marketing Type Analysis comprises: – Regional Market, International Market, Home and Host Country Competitors of vital international competitors.

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