Press release
Global Market Study on Smart Machines Market Insights, Forecast to 2025
This report presents the worldwide Smart Machines market size (value, production and consumption), splits the breakdown (data status 2013-2018 and forecast to 2025), by manufacturers, region, type and application.
This study also analyzes the market status, market share, growth rate, future trends, market drivers, opportunities and challenges, risks and entry barriers, sales channels, distributors and Porter’s Five Forces Analysis.
Smart machines have cognitive computing ability and use artificial intelligence (AI) and machine learning algorithms to sense, learn, reason, and interact with humans. They have the ability to leverage on advanced technologies to solve problems accurately and precisely.
Expert systems are a concentrated human knowledge module. Influenced by increase in investments in automating processes that were performed mainly by human labor, applications such as life sciences companies, retail, logistics, financial services firms, healthcare, defense, agriculture, and commerce are increasingly adopting these intelligent machine systems to replace human labor, driving the growth of this industry segment in the robotics smart machines market.
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The Americas witnesses advancements and increased investments in technology, increased use of IoT, cloud computing, and automation in the industrial sector, increase in government initiatives to invest in improving healthcare, and the availability of reimbursements from healthcare insurance providers will contribute to the growth of the smart machine market.
The Smart Machines market was valued at xx Million US$ in 2017 and is projected to reach xx Million US$ by 2025, at a CAGR of xx% during the forecast period. In this study, 2017 has been considered as the base year and 2018 to 2025 as the forecast period to estimate the market size for Smart Machines.
The following manufacturers are covered in this report:
KUKA
IBM
Apple
Clearpath Robotics
Mobile Industrial Robotics
Aethon
Cerner
Microsoft
Philips Healthcare
Samsung
Narrative Science
McKesson
Elsevier
Smart Machines Breakdown Data by Type
Expert Systems
Autonomous Robots
Digital Assistants
Other
Smart Machines Breakdown Data by Application
Life Sciences
Retails
Logistics
Financial Services Firms
Healthcare
Agriculture
Defense
Other
Smart Machines Production by Region
United States
Europe
China
Japan
Other Regions
Other Regions
Smart Machines Consumption by Region
North America
United States
Canada
Mexico
Asia-Pacific
China
India
Japan
South Korea
Australia
Indonesia
Malaysia
Philippines
Thailand
Vietnam
Europe
Germany
France
UK
Italy
Russia
Rest of Europe
Central & South America
Brazil
Rest of South America
Middle East & Africa
GCC Countries
Turkey
Egypt
South Africa
Rest of Middle East & Africa
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The study objectives are:
To analyze and research the global Smart Machines status and future forecastinvolving, production, revenue, consumption, historical and forecast.
To present the key Smart Machines manufacturers, production, revenue, market share, and recent development.
To split the breakdown data by regions, type, manufacturers and applications.
To analyze the global and key regions market potential and advantage, opportunity and challenge, restraints and risks.
To identify significant trends, drivers, influence factors in global and regions.
To analyze competitive developments such as expansions, agreements, new product launches, and acquisitions in the market.
In this study, the years considered to estimate the market size of Smart Machines :
History Year: 2013 – 2017
Base Year: 2017
Estimated Year: 2018
Forecast Year: 2018 – 2025
This report includes the estimation of market size for value (million USD) and volume (K Units). Both top-down and bottom-up approaches have been used to estimate and validate the market size of Smart Machines market, to estimate the size of various other dependent submarkets in the overall market. Key players in the market have been identified through secondary research, and their market shares have been determined through primary and secondary research. All percentage shares, splits, and breakdowns have been determined using secondary sources and verified primary sources.
For the data information by region, company, type and application, 2017 is considered as the base year. Whenever data information was unavailable for the base year, the prior year has been considered
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