Welcome to the Internet of Machines

The world is changing and with it, entirely new business models for a new generation of machine customers are emerging - be a part of it.
Autonomous machines
Self-learning systems and advances in computer programming and smart sensors enable machines to act autonomously in both the physical and digital worlds.
Informed data decisions
Autonomous machines cooperate to achieve incredible speed and efficiency by exchanging information, distributing tasks, and coordinating their actions.
New economic agents
Machines will have an identity, history, and bank account to store digital value, buy and sell services, and operate in the economy as a new type of market participant.
Machines will sell services as a product with businesses paying per outcome rather than purchasing assets outright to make them more agile and configurable.
No centralized control
Machines will transform a world of intelligence into a world of decentralized governance, immutable data systems, and global security, transparent networks.
A more intelligent world
Autonomous machines build an economy based on value, empowering people to apply new business logic and creativity to solve the next big problem.
These technologies shaping the future of humanity
The Machine Economy is still in its early stages, and even the most common technologies have yet to gain widespread awareness. Still, they will provide us with entirely new capabilities to transform the way we live and work.
1. Internet of Things

The most significant technological development in the Machine Economy is the increase in basic connectivity of devices and machines. With 41.6 billion IoT devices by 2025, the advanced abilities of networked machines communicating with each other and cloud-based applications are creating numerous new business opportunities.

2. Blockchain & DLT

The topic of decentralization is becoming increasingly important. Distributed Ledger Technology (DLT) is transforming a world of intelligence into a world of decentralized governance, immutable data systems, and transparent networks. Blockchain will play a significant role in enabling machines to transact with one another via self-executing smart contracts autonomously.

3. M2M Communication

In the future, machines will be able to communicate with each other even more autonomously, thanks to comprehensive networking. In the long-term, the communication between devices will replace the connection between man and machine across various industry domains.

4. Machine Learning

The more machines are networked, the greater the importance of machine learning. In the future, machines will learn from data sets provided and direct comparison with other devices. As a result, machines will take these learnings and optimize themselves for maximum performance output.

5. Cloud Computing

Cloud computing has recently established itself in many key industry areas. This trend is expected to increase, for example, to large aggregate amounts of data in the cloud or to occupy application areas beyond IoT.

6. Edge Computing

The technological development of edge devices is increasingly pushed forward. As a result, a shift from cloud computing to edge computing is already discernible in some industry areas like manufacturing data analytics and equipment data analytics which will gain even more momentum in the future.

7. Artificial Intelligence

The real hype about AI technologies can be explained by the fact that AI will play an increasingly important role in the future of IoT and the Machine Economy. As a result of advanced cloud systems, manufacturers and industrial companies can integrate AI into production processes easily.

8. Robotics

Due to advances in AI, we can assume that service robotics will increase shortly. Industrial robots are automated and programmable in typical assembly, pick and place applications, product inspection, and general material handling.

Key facts
M2M connections by 2022
IoT sensor market size by 2027
AI global economic growth by 2030
IoT market size worldwide by 2025
How people benefit from it
  • Learning new skill sets
    AI delegates processes and mundane tasks to machines, freeing employees to pursue more creative activities and improve their lateral thinking skills.
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How businesses benefit from it
  • Higher quality products
    Analyzed real-time data will improve organizational efficiency, time to market, promote automation and reduce energy costs due to improved resource utilization.
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Discover use cases
  • Society
    Secure digital voting systems
    Blockchain technology can establish a system where secure and anonymous votes are instantly verified via a consensus algorithm, making it impossible to vote twice or commit electoral fraud.
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