Persistence Market Research (PMR) delivers key insights on the global smart machines market in its upcoming report titled, “Smart Machines Market: Global Industry Analysis and Forecast, 2016-2024”. In terms of value, the global smart machines market is projected to register a healthy CAGR of 18.8% during the forecast period. This is attributed to various factors, regarding which PMR offers vital insights in detail.
On the basis of a component, the global smart machines market has been segmented into hardware, software, and service. Demand for smart machines is enhanced by increasing need to process and analyze big unstructured data among different sectors such as manufacturing, healthcare, aerospace, and defense. On the basis of machine type, the global smart machines market has been segmented into robots, autonomous cars, drones, wearable electronics and others.
On the basis of technology, the global smart machines market has been segmented into cloud computing, big data, internet of everything (IoE), robotics, cognitive technology and effective technology. Affective technology segment is expected to expand with a substantial CAGR over the forecast period. Various enterprises working on cognitive computing are facing glitches and errors in technology. This, in turn, is encouraging adoption of affective computing. Cognitive computing technology enables emotions linking to a robot, assisting the robot in making rational decisions and performing more complex tasks.
Smart machines are deployed to enhance networked resources and implement distributed intelligence in manufacturing industries. Integration of devices provides more accessibility. Smart machines can be easily connected to a broader network of connected devices, enabling users to share data on numerous devices. This ensures users to connect/access their devices from anywhere and anytime. This is expected to fuel demand for smart machines in various industries. The market in Australia is expected to witness substantial growth in adoption rates of smart machines over the next five years. Autonomous robots are expected to find applications in agriculture and commercial sectors to overcome the lack of labor in the country. Australia-based companies have also been investing significantly in advanced technologies such as IoT.
Smart machines are programmed to make intelligent decisions in a time efficient manner. They are built to learn from their interactions and their precision increases over time. Hence, new developments in operational intelligence are encouraging companies to adopt systems that are smarter and efficient. Narrative Science Inc., a company that offers analytical solutions uses its virtual assistant Quill, which is programed using natural language processing to provide relevant solutions.
This report covers trends driving each segment and offers analysis and insights of the potential of the smart machines market in specific regions. The markets in Europe, North America, and Asia Pacific are expected to register high growth rates between 2016 and 2024. MEA is a small but significant market for smart machines as governments in the Middle East countries are investing in this sector to digitize government services. The market in Europe is expected to gain substantial market share in terms of revenue. This is attributed to increasing demand for smart machines from the automobile and manufacturing industries in countries such as Germany and France. The APAC accounted for the highest market share in 2015 and is expected to gain 232 BPS by an end of 2024.
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Key players in the global smart machines market include Apple Inc., Google Inc., Microsoft Corporation, BAE Systems, Creative Virtual Ltd., Digital Reasoning Systems, Inc., IBM Corporation, Narrative Science Inc., Rethink Robotics, ABB Limited, Rockwell Automation, Inc., and General Electric Co. others.
Enterprises have been realizing the importance of speech processing as it provides better mobility to their customers. Voicing commands are proving to be a faster and easier way of accessing information. Therefore, enterprises are focusing on investing in improving their speech processing models.