The Largest Technology Firms in The World

Pradeep Sharma
Posted on Oct 21, 2019

The GitHub link for the code I used for my web scraping project can be found here:                                                     https://github.com/psharma128/scraping

INTRODUCTION:

For my web scraping project, I scraped a wikipedia article regarding the biggest technology companies in the world.  I wanted to examine the tech firms that dominate the global market to gain a better idea of how they operate.  Wikipedia has listed their revenue, number of employees, and what country they are headquartered in.  I used python to scrape the wikipedia page and to do some data visualization.

WHAT WAS LEARNED?

• The 16 largest tech firms in the world have an annual revenue totaling more than $1.6 trillion US dollars per year and employ more than 3.8 million people worldwide

• These are all multinational firms, of which 8 are based in the USA: (Apple, Amazon, Alphabet, Microsoft, IBM, Dell, Intel, and HP)

• 3 are based in Japan (Hitachi, Sony, Panasonic).

• 2 are based in China (Huawei and JD.com.)

• 2 are based in South Korea (Samsung and LG Electronics).

• 1 is based in Taiwan (Foxconn).

A DIVERSE RANGE OF BUSINESS AREAS WITHIN TECHNOLOGY:

• While firms like HP and Dell primarily manufacture computer hardware, Microsoft primarily manufactures computer software.

• Apple manufactures software and hardware for primarily computers and cell phones.

• IBM provides consulting services to corporations in areas such as Analytics, Blockchain, Cloud Computing, etc.

• Intel is a semiconductor chip manufacturer. Amazon is an e-retailer and Alphabet is a search engine.

• Panasonic and Sony manufacture hardware primarily outside of the computer industry

IMPROVEMENTS TO THE PROJECT:

• If given more time, I would like to examine how these firms are utilizing data science to improve their business model and how many data scientists they expect to hire in the coming years.

• I would like to plot graphs highlighting the strengths of particular firms

• I would like to be able to use more complex tools and code comfortably to scrape data from bigger data sets and use what I need selectively for my presentation.

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