Artificial Intelligence 2017

Statista Digital Market Outlook - Trend Report

Artificial Intelligence 2017 Artificial Intelligence is no longer science fiction, it has already been adopted in various industries such as manufacturing, healthcare, finance, entertainment, and education. Not only does automation through AI lead to cost savings, it is also expected to result in robust productivity growth.

What's included?
  • Artificial Intelligence: Definition and evolution
  • Revenue potential
  • Technology
  • Trends and drivers
  • Application of AI in different industries
  • Start-ups: Funding and M&A
  • Competitive landscape: Amazon, Apple, Baidu, ebay, Facebook, Google, IBM, Microsoft, Salesforce, UBER

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In the Statista Digital Market Outlook Trend Reports, our analysts focus on hot digital markets and compile a comprehensive collection of data, insights, and key player analyses. An overview of all Outlook Reports can be found here.

The Statista Digital Market Outlook presents up-to-date figures and forecasts on markets of the digital economy in over 50 countries and regions. The comparable key figures are based on extensive analyses of relevant indicators from the areas of society, economy, and technology.

  • Description
  • Content
  • Tables

This report offers insights into Artificial Intelligence, its forms of application and its potential. AI is one of the hot digital topics and it is being applied in many industries to achieve cost savings and productivity growth by tapping a huge automation potential.

The introduction gives an overview of AI and its evolution and describes the different types of AI. Additionally, the revenue potential of AI across industries and countries is analyzed.

The next chapter gives a more detailed description of the different AI technologies of Machine Learning, Robotics, and Artificial Neural Networks.

Furthermore, AI trends such as artificial emotional intelligence or sequential and deep learning, as well as drivers for AI, e.g. advancement in computing power or big data, are analyzed.

As mentioned before, various industries offer potential fields of application for AI. We dive into its particular application in automotive, healthcare, education, finance, and entertainment.

In the next chapter, funding and M&A activities are described. Additionally, the chapter contains a large list of AI start-ups ranked by their funding and a list of recent M&A deals in the AI space.

The last chapter focuses on the competitive landscape and shows a company comparison as well as deep dives into the AI activities of Amazon, Apple, Baidu, ebay, Facebook, Google, IBM, Microsoft, Salesforce, and UBER.

Introduction

  • AI overview
  • Short definition of AI types
  • Evolution of AI
  • Revenue potential

Technology: AI types
  • Machine Learning
  • Robotics
  • Artificial Neural Networks

Trends
  • Artificial emotional intelligence
  • Sequential learning
  • Deep learning
  • Rise of China
  • AI hardware growth
  • Transfer learning

Drivers
  • Rise in corporate VC investment
  • Advancement in computing power
  • Open platforms
  • Big Data

Application of AI
  • Automotive
  • Healthcare
  • Education
  • Finance
  • Entertainment

Start-ups: Funding & M&A
  • Funding
  • List of AI start-ups
  • Merger & Acquisition
  • List of M&A deals

Competitive landscape
  • Company comparison
  • Amazon
  • Apple
  • Baidu
  • ebay
  • Facebook
  • Google
  • IBM
  • Microsoft
  • Salesforce
  • UBER

Introduction

  • Current Artificial Intelligence ecosystem
  • Evolution of Artificial Intelligence
  • Timeline: AI evolution
  • Automation potential across industries
  • Automation potential across countries
  • Potential annual GVA (Gross Value Added) growth rates in 2035 in %
  • AI: Global Revenue Projection in billion US$

Technology: AI types
  • Illustration of the Machine Learning process

Drivers
  • Worldwide big data revenue in billion US$

Application of AI
Automotive
  • Illustration: impact on autonomous driving by deep learning
  • Overview: car companies activities in autonomous driving

Start-ups: Funding & M&A

Funding
  • Number of AI start-ups by category as of May 2016
  • AI start-ups: Annual global funding in billion US$
  • AI start-ups: Funding by category in billion US$ in 2006-2016
  • AI start-ups: Number of deals in global funding
  • AI start-ups: Global deal share in 2016
  • List of AI start-ups ranked by funding

Merger & Acquisition
  • Number of M&A deals
  • List of recent M&A deals
  • Number of publicly accessible charging points

Competitive landscape
  • Location of selected leading AI companies
  • Comparison of leading AI companies

The following tables & illustrations are available for the following companies: Amazon, Apple, Baidu, ebay, Facebook, Google, IBM, Microsoft, Salesforce, UBER
  • Important facts & figures
  • Recent AI related M&A
  • AI R&D areas


  • Language: English
  • Released: December 2017
  • Source(s): Statista
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