In-depth: Artificial Intelligence 2020

Statista Digital Market Outlook

In-depth: Artificial Intelligence 2020 Artificial Intelligence is no longer science fiction, it has already been adopted in various industries. This report shows that automation through AI not only leads to cost savings, it is also expected to result in robust productivity growth.

Current revenue projections estimate global AI revenue to be at almost US$126 billion in 2025. The biggest impact of AI on GDP is expected in China and Singapore, while the biggest impact on labor productivity is expected in the Nordics.

What's included?
  • Definition, evolution & revenue potential
  • Technology, trends & drivers
  • Application of AI in different industries
  • Funding, M&A & competitive landscape: Amazon, Apple, Baidu, ebay, etc.

This report covers the hot topic AI and gives an overview and insights into the topic. Artificial Intelligence (AI) essentially refers to computing technologies that are inspired by the ways people use their brains and nervous systems to reason and make decisions, but typically operate quite differently. As a concept AI has been the source of inspiration for many science fiction writers and futurologists for over a century. Today, advancements in computing and big data have made it a reality with machines now being deployed at a large scale across industries.

The current AI ecosystem consists of machine learning, robotics, and artificial neural networks (ANNs). In machine learning, programs learn from existing data and apply this knowledge to new data or use it to predict data. The field of robotics is concerned with developing and training robots. Usually, the ability of a robot to interact with people and the world follows general rules and is predictable. However, current efforts also revolve around using deep learning to train robots to manipulate situations and act with a certain degree of self-awareness. ANNs are built to mimic the workings of a human brain. Connected units (artificial neurons) are organized in layers to process information.

With the rise of AI, more and more start-ups venture into the market. Most work in the field of machine learning applications, followed by natural language processing. As of September 2019, there were 2,649 AI startups across 13 categories. They have cumulatively raised US$85 billion in funding during 2014-2019. In terms of M&A, the number of deals jumped up by 25% in 2019. Looking at the most recent M&A deals, big tech companies like Google, Apple, Amazon, Microsoft, IBM, or Facebook have often been the acquirer. But Chinese tech giants like Baidu or rising stars in the start-up world, like Twitter, Uber, or Spotify, also acquire AI companies.

The COVID-19 pandemic has increased the adoption of AI in almost all industries, mostly to ensure business continuity and speed up processes. Nowhere is this more evident than in the healthcare sector, where AI tools and solutions are being used to develop an effective vaccine.

Companies from various industries are currently developing AI and related applications. Google, IBM and Microsoft are leading AI innovations in the IT industry, while Amazon and eBay are investing in AI to improve their eCommerce platform, and ridesharing company Uber is using AI on autonomous driving, food deliveries, and mapping research. Collaborative development is on the rise, and leading companies such as Amazon, Apple, Facebook, Google/DeepMind, IBM, and Microsoft are currently working in partnership towards developing AI applications. The acquisition of small-scale AI companies by tech giants like Apple, IBM, and Microsoft in relevant fields is on the rise, leading to a decreasing learning curve. Other leading companies include Baidu, Facebook, and Salesforce.

  • Language: English
  • Released: November 2020
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