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.
- AI overview
- Short definition of AI types
- Evolution of AI
- Revenue potential
Technology: AI types
- Machine Learning
- Artificial Neural Networks
- Artificial emotional intelligence
- Sequential learning
- Deep learning
- Rise of China
- AI hardware growth
- Transfer learning
- Rise in corporate VC investment
- Advancement in computing power
- Open platforms
- Big Data
Application of AI
Start-ups: Funding & M&A
- List of AI start-ups
- Merger & Acquisition
- List of M&A deals
- Company comparison
- 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$
- Illustration of the Machine Learning process
- Worldwide big data revenue in billion US$
- Illustration: impact on autonomous driving by deep learning
- Overview: car companies activities in autonomous driving
- 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
- Number of M&A deals
- List of recent M&A deals
- Number of publicly accessible charging points
- Location of selected leading AI companies
- Comparison of leading AI companies
- Important facts & figures
- Recent AI related M&A
- AI R&D areas
More than 7,500
- Artificial Intelligence (AI)Artificial Intelligence (AI)
- Big dataBig data
- Cloud computingCloud computing
- Big data in ItalyBig data in Italy
- Infrastructure as a Service (IaaS)Infrastructure as a Service (IaaS)
- Global big data in healthcare market size 2016 & 2025Global big data in healthcare market size 2016 & 2025
- Adoption expectations for big data technology in organizations worldwide 2015-2017Adoption expectations for big data technology in organizations worldwide 2015-2017
- Importance of selected big data use cases worldwide 2017Importance of selected big data use cases worldwide 2017
- Forecast revenue big data market worldwide 2011-2027Forecast revenue big data market worldwide 2011-2027
- Global big data revenue 2016-2027, by typeGlobal big data revenue 2016-2027, by type
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