In-depth: Artificial Intelligence 2020
Statista Digital Market Outlook
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.
Management summary
Introduction
- Overview
- Definitions
- Evolution of artificial intelligence
- Collaborative robots
- Automation market
- Robotic process automation
- Global revenue projection
- AI growth
- Impact of AI
Technologies
- Machine Learning
- Robotics
- Artificial Neural Networks
- Natural language processing
Trends
- Artificial emotional intelligence
- Sequential learning
- Deep learnings
- Rise of China
- Growth in hardware and software
- Transfer learning
Drivers
- Corporate VC investment
- Computing power
- Open platforms
- Big Data
Applications
- Automotive Industry
- Healthcare
- Technologies
- Education
- Finance
- Entertainment
Start-ups: Funding and M&A
- Overview
- Investment by AI enterprises
- AI enterprises growth
- AI start-ups by funding
- Merger & Acquisition
- Recent M&A deals
Competitive landscape
- Company comparison
- Amazon
- Apple
- Baidu
- Ebay
- IBM
- Microsoft
- Salesforce
- UBER
Appendix
- Glossary
- Statista Global Consumer Survey
- Statista Digital Market Outlook
- Statista Mobility Market Outlook, Statista Technology Market Outlook
- Statista Research & Analysis, Statista Content & Design
- Authors
Introduction
- Current Artificial Intelligence ecosystem
- Evolution of Artificial Intelligence
- Timeline: AI evolution
- Size of the global market for collaborative robots in Billion US$
- Robotic/intelligent process automation (RPA/IPA) and AI automation spending worldwide in billion US$
- Installed industrial robots per 10,000 employees in the manufacturing industry in 2019
- Stages of robotic process automation
- Global market shares of key players in robotic process automation market in million US$
- Global AI software revenue projection in billion US$
- Expert estimation in the field of most impactful countries in AI innovation in the next 2-5 years1
- Global AI software revenue by industry: COVID-19 impact vs. 2019-2025 CAGR2
- Potential annual GVA growth rates in 2035 in %
- Impact of AI on labor productivity in developed countries in 2035
- Impact of AI on workforces in organizations worldwide as of 2019
- Impact of AI on workforces in organizations worldwide in 2020-2023
- Impact of AI on industry growth in 2035 in %
- Impact of AI on industry output in 2035 in trillion US$
- Potential incremental value of AI as compared to other analytics techniques
- Projected increase of GDP due to AI by industry sector in 2030
- Share of projected worldwide AI contribution to GDP in 2030, by region
- Revenues from the natural language processing (NLP) market worldwide in million US$
- Chatbot market revenue worldwide in million US$
- Illustration of the Machine Learning process
Trends
- Share of Tencent’s AI investments in 2014-2017
- Worldwide AI for enterprise applications market in million US$
- AI-driven hardware sales growth in million US$
Drivers
- Worldwide big data revenue in billion US$
Applications
- Unit shipments of AI based systems for automotive in million
- Impact of deep learning on autonomous driving
- Overview of autonomous cars and their autonomy level
- Car companies activities in autonomous driving
- Technologies involved in AI healthcare
- Business value derived from AI in banking industry worldwide from 2018 to 2030 in billion US$
- Potential aggregate economic impact of AI worldwide in the future in billion US$
Start-ups funding and M&A
- Number of AI start-ups
- AI start-ups: Annual global funding in billion US$
- AI start-ups: global deal share by region in Q2 ’20
- Major fields of investment by leading AI enterprises
- Global High-growth AI Enterprises
- AI start-ups ranked by funding
- Number of M&A deals
- Recent M&A deals
Competitive landscape
- Location of selected leading AI companies
- Comparison of selected leading AI companies
- R&D Areas
- Glossary
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