Smart Machines research

Smart Machines Comprehensive Study by Type (Robots, Self-Driving Cars, Others), Application (Life Sciences, Retails, Logistics, Financial Services Firms, Healthcare, Agriculture, Defense, Others), Technology (Cloud Computing technology, Robotics, Cognitive Technology, Others), Component (Hardware, Software, Others) Players and Region - Global Market Outlook to 2027

Smart Machines Market by XX Submarkets | Forecast Years 2022-2027  

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  • Summary
  • Market Segments
  • Table of Content
  • List of Table & Figures
  • Players Profiled
What is Smart Machines Market?

A smart machine is a device embedded with machine-to-machine (M2M) and/or cognitive computing technologies such as artificial intelligence (AI), machine learning, or deep learning. Influenced by an 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. 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 market study is being classified by Type (Robots, Self-Driving Cars and Others), by Application (Life Sciences, Retails, Logistics, Financial Services Firms, Healthcare, Agriculture, Defense and Others) and major geographies with country level break-up.

KUKA (Germany), IBM (United States), Apple (United States), Google (United States), Clearpath Robotics (Canada), Mobile Industrial Robotics (Denmark), Aethon (United States), Cerner (United States), Microsoft (United States) and Philips Healthcare (Netherlands) are some of the key players profiled in the study. Additionally, the Players which are also part of the research are Samsung (South Korea), Narrative Science (United States), McKesson (United States) and Elsevier (Netherlands).

Global Smart Machines is a fragmented market due to the presence of various players. The players are focusing on investing more in Launching Products. These will enhance their market presence. The companies are also planning strategic activities like partnerships, mergers, and acquisitions which will help them to sustain in the market and maintain their competitive edge. Research Analyst at AMA predicts that United States Players will contribute to the maximum growth of Global Smart Machines market throughout the predicted period.

Segment Analysis
Analyst at AMA have segmented the market study of Global Smart Machines market by Type, Application and Region.

On the basis of geography, the market of Smart Machines has been segmented into South America (Brazil, Argentina, Rest of South America), Asia Pacific (China, Japan, India, South Korea, Australia, Rest of Asia-Pacific), Europe (Germany, France, Italy, United Kingdom, Netherlands, Rest of Europe), MEA (Middle East, Africa), North America (United States, Canada, Mexico). Additionally, the rising demand from SMEs and various industry verticals gives enough cushion to market growth.

Market Drivers
  • Increasing Demand for Smart Machines to Reduce Cost and Boost Flexibility
  • Increase in Adoption for Smart Machines in Several Industrialized Sectors

Market Trend
  • Technological Advancements
  • Development of Neural Networks, Voice Recognition, and Natural Language Processing

Restraints
  • Slow Adoption of Smart Technologies in Developing and Underdeveloped Countries
  • High Cost of the Adoption of Smart Machines

Opportunities
  • Government Initiatives to Promote Advanced Robotics in Emerging Countries

Challenges
  • Challenges Associated with Smart Machines Technologies


Market Leaders and some development strategies
On 28th March 2022, Sarcos Technology and KUKA Robotics Corporation to Acquire RE2, an Award-Winning Developer of Intelligent Mobile Manipulation Systems. The acquisition will add breadth to Sarcos’ family of mobile dexterous robots for use in industrial environments and expands Sarcos’ total addressable market to medical and subsea markets. The combination is expected to significantly increase Sarcos’ revenue by adding revenue from RE2s existing contracts. The transaction brings together two of the most experienced commercial robotics teams, nearly doubling the size of Sarcos’ engineering team
In 2019, KUKA launches a new generation of the KR QUANTEC series. The new series provides high reliability and the “all-rounder” robot’s a uniquely broad spectrum of applications compared to competitors. With a payload capacity between 120 to 300 kg, the robots are designed for use in nearly every market segment – such as the automotive industry, the foundry sector, and the field of medicine, as well as for processing and handling tasks.


Key Target Audience
Smart Machines Manufacturers, Smart Machines Suppliers and Distributors, Regulatory Bodies, Potential Investors, Research and Development Institutes and Others

Report Objectives / Segmentation Covered

By Type
  • Robots
  • Self-Driving Cars
  • Others
By Application
  • Life Sciences
  • Retails
  • Logistics
  • Financial Services Firms
  • Healthcare
  • Agriculture
  • Defense
  • Others
By Technology
  • Cloud Computing technology
  • Robotics
  • Cognitive Technology
  • Others

By Component
  • Hardware
  • Software
  • Others

By Regions
  • South America
    • Brazil
    • Argentina
    • Rest of South America
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Rest of Asia-Pacific
  • Europe
    • Germany
    • France
    • Italy
    • United Kingdom
    • Netherlands
    • Rest of Europe
  • MEA
    • Middle East
    • Africa
  • North America
    • United States
    • Canada
    • Mexico
  • 1. Market Overview
    • 1.1. Introduction
    • 1.2. Scope/Objective of the Study
      • 1.2.1. Research Objective
  • 2. Executive Summary
    • 2.1. Introduction
  • 3. Market Dynamics
    • 3.1. Introduction
    • 3.2. Market Drivers
      • 3.2.1. Increasing Demand for Smart Machines to Reduce Cost and Boost Flexibility
      • 3.2.2. Increase in Adoption for Smart Machines in Several Industrialized Sectors
    • 3.3. Market Challenges
      • 3.3.1. Challenges Associated with Smart Machines Technologies
    • 3.4. Market Trends
      • 3.4.1. Technological Advancements
      • 3.4.2. Development of Neural Networks, Voice Recognition, and Natural Language Processing
  • 4. Market Factor Analysis
    • 4.1. Porters Five Forces
    • 4.2. Supply/Value Chain
    • 4.3. PESTEL analysis
    • 4.4. Market Entropy
    • 4.5. Patent/Trademark Analysis
  • 5. Global Smart Machines, by Type, Application, Technology, Component and Region (value and price ) (2016-2021)
    • 5.1. Introduction
    • 5.2. Global Smart Machines (Value)
      • 5.2.1. Global Smart Machines by: Type (Value)
        • 5.2.1.1. Robots
        • 5.2.1.2. Self-Driving Cars
        • 5.2.1.3. Others
      • 5.2.2. Global Smart Machines by: Application (Value)
        • 5.2.2.1. Life Sciences
        • 5.2.2.2. Retails
        • 5.2.2.3. Logistics
        • 5.2.2.4. Financial Services Firms
        • 5.2.2.5. Healthcare
        • 5.2.2.6. Agriculture
        • 5.2.2.7. Defense
        • 5.2.2.8. Others
      • 5.2.3. Global Smart Machines by: Technology (Value)
        • 5.2.3.1. Cloud Computing technology
        • 5.2.3.2. Robotics
        • 5.2.3.3. Cognitive Technology
        • 5.2.3.4. Others
      • 5.2.4. Global Smart Machines by: Component (Value)
        • 5.2.4.1. Hardware
        • 5.2.4.2. Software
        • 5.2.4.3. Others
      • 5.2.5. Global Smart Machines Region
        • 5.2.5.1. South America
          • 5.2.5.1.1. Brazil
          • 5.2.5.1.2. Argentina
          • 5.2.5.1.3. Rest of South America
        • 5.2.5.2. Asia Pacific
          • 5.2.5.2.1. China
          • 5.2.5.2.2. Japan
          • 5.2.5.2.3. India
          • 5.2.5.2.4. South Korea
          • 5.2.5.2.5. Australia
          • 5.2.5.2.6. Rest of Asia-Pacific
        • 5.2.5.3. Europe
          • 5.2.5.3.1. Germany
          • 5.2.5.3.2. France
          • 5.2.5.3.3. Italy
          • 5.2.5.3.4. United Kingdom
          • 5.2.5.3.5. Netherlands
          • 5.2.5.3.6. Rest of Europe
        • 5.2.5.4. MEA
          • 5.2.5.4.1. Middle East
          • 5.2.5.4.2. Africa
        • 5.2.5.5. North America
          • 5.2.5.5.1. United States
          • 5.2.5.5.2. Canada
          • 5.2.5.5.3. Mexico
    • 5.3. Global Smart Machines (Price)
      • 5.3.1. Global Smart Machines by: Type (Price)
  • 6. Smart Machines: Manufacturers/Players Analysis
    • 6.1. Competitive Landscape
      • 6.1.1. Market Share Analysis
        • 6.1.1.1. Top 3
        • 6.1.1.2. Top 5
    • 6.2. Peer Group Analysis (2021)
    • 6.3. BCG Matrix
    • 6.4. Company Profile
      • 6.4.1. KUKA (Germany)
        • 6.4.1.1. Business Overview
        • 6.4.1.2. Products/Services Offerings
        • 6.4.1.3. Financial Analysis
        • 6.4.1.4. SWOT Analysis
      • 6.4.2. IBM (United States)
        • 6.4.2.1. Business Overview
        • 6.4.2.2. Products/Services Offerings
        • 6.4.2.3. Financial Analysis
        • 6.4.2.4. SWOT Analysis
      • 6.4.3. Apple (United States)
        • 6.4.3.1. Business Overview
        • 6.4.3.2. Products/Services Offerings
        • 6.4.3.3. Financial Analysis
        • 6.4.3.4. SWOT Analysis
      • 6.4.4. Google (United States)
        • 6.4.4.1. Business Overview
        • 6.4.4.2. Products/Services Offerings
        • 6.4.4.3. Financial Analysis
        • 6.4.4.4. SWOT Analysis
      • 6.4.5. Clearpath Robotics (Canada)
        • 6.4.5.1. Business Overview
        • 6.4.5.2. Products/Services Offerings
        • 6.4.5.3. Financial Analysis
        • 6.4.5.4. SWOT Analysis
      • 6.4.6. Mobile Industrial Robotics (Denmark)
        • 6.4.6.1. Business Overview
        • 6.4.6.2. Products/Services Offerings
        • 6.4.6.3. Financial Analysis
        • 6.4.6.4. SWOT Analysis
      • 6.4.7. Aethon (United States)
        • 6.4.7.1. Business Overview
        • 6.4.7.2. Products/Services Offerings
        • 6.4.7.3. Financial Analysis
        • 6.4.7.4. SWOT Analysis
      • 6.4.8. Cerner (United States)
        • 6.4.8.1. Business Overview
        • 6.4.8.2. Products/Services Offerings
        • 6.4.8.3. Financial Analysis
        • 6.4.8.4. SWOT Analysis
      • 6.4.9. Microsoft (United States)
        • 6.4.9.1. Business Overview
        • 6.4.9.2. Products/Services Offerings
        • 6.4.9.3. Financial Analysis
        • 6.4.9.4. SWOT Analysis
      • 6.4.10. Philips Healthcare (Netherlands)
        • 6.4.10.1. Business Overview
        • 6.4.10.2. Products/Services Offerings
        • 6.4.10.3. Financial Analysis
        • 6.4.10.4. SWOT Analysis
  • 7. Global Smart Machines Sale, by Type, Application, Technology, Component and Region (value and price ) (2022-2027)
    • 7.1. Introduction
    • 7.2. Global Smart Machines (Value)
      • 7.2.1. Global Smart Machines by: Type (Value)
        • 7.2.1.1. Robots
        • 7.2.1.2. Self-Driving Cars
        • 7.2.1.3. Others
      • 7.2.2. Global Smart Machines by: Application (Value)
        • 7.2.2.1. Life Sciences
        • 7.2.2.2. Retails
        • 7.2.2.3. Logistics
        • 7.2.2.4. Financial Services Firms
        • 7.2.2.5. Healthcare
        • 7.2.2.6. Agriculture
        • 7.2.2.7. Defense
        • 7.2.2.8. Others
      • 7.2.3. Global Smart Machines by: Technology (Value)
        • 7.2.3.1. Cloud Computing technology
        • 7.2.3.2. Robotics
        • 7.2.3.3. Cognitive Technology
        • 7.2.3.4. Others
      • 7.2.4. Global Smart Machines by: Component (Value)
        • 7.2.4.1. Hardware
        • 7.2.4.2. Software
        • 7.2.4.3. Others
      • 7.2.5. Global Smart Machines Region
        • 7.2.5.1. South America
          • 7.2.5.1.1. Brazil
          • 7.2.5.1.2. Argentina
          • 7.2.5.1.3. Rest of South America
        • 7.2.5.2. Asia Pacific
          • 7.2.5.2.1. China
          • 7.2.5.2.2. Japan
          • 7.2.5.2.3. India
          • 7.2.5.2.4. South Korea
          • 7.2.5.2.5. Australia
          • 7.2.5.2.6. Rest of Asia-Pacific
        • 7.2.5.3. Europe
          • 7.2.5.3.1. Germany
          • 7.2.5.3.2. France
          • 7.2.5.3.3. Italy
          • 7.2.5.3.4. United Kingdom
          • 7.2.5.3.5. Netherlands
          • 7.2.5.3.6. Rest of Europe
        • 7.2.5.4. MEA
          • 7.2.5.4.1. Middle East
          • 7.2.5.4.2. Africa
        • 7.2.5.5. North America
          • 7.2.5.5.1. United States
          • 7.2.5.5.2. Canada
          • 7.2.5.5.3. Mexico
    • 7.3. Global Smart Machines (Price)
      • 7.3.1. Global Smart Machines by: Type (Price)
  • 8. Appendix
    • 8.1. Acronyms
  • 9. Methodology and Data Source
    • 9.1. Methodology/Research Approach
      • 9.1.1. Research Programs/Design
      • 9.1.2. Market Size Estimation
      • 9.1.3. Market Breakdown and Data Triangulation
    • 9.2. Data Source
      • 9.2.1. Secondary Sources
      • 9.2.2. Primary Sources
    • 9.3. Disclaimer
List of Tables
  • Table 1. Smart Machines: by Type(USD Million)
  • Table 2. Smart Machines Robots , by Region USD Million (2016-2021)
  • Table 3. Smart Machines Self-Driving Cars , by Region USD Million (2016-2021)
  • Table 4. Smart Machines Others , by Region USD Million (2016-2021)
  • Table 5. Smart Machines: by Application(USD Million)
  • Table 6. Smart Machines Life Sciences , by Region USD Million (2016-2021)
  • Table 7. Smart Machines Retails , by Region USD Million (2016-2021)
  • Table 8. Smart Machines Logistics , by Region USD Million (2016-2021)
  • Table 9. Smart Machines Financial Services Firms , by Region USD Million (2016-2021)
  • Table 10. Smart Machines Healthcare , by Region USD Million (2016-2021)
  • Table 11. Smart Machines Agriculture , by Region USD Million (2016-2021)
  • Table 12. Smart Machines Defense , by Region USD Million (2016-2021)
  • Table 13. Smart Machines Others , by Region USD Million (2016-2021)
  • Table 14. Smart Machines: by Technology(USD Million)
  • Table 15. Smart Machines Cloud Computing technology , by Region USD Million (2016-2021)
  • Table 16. Smart Machines Robotics , by Region USD Million (2016-2021)
  • Table 17. Smart Machines Cognitive Technology , by Region USD Million (2016-2021)
  • Table 18. Smart Machines Others , by Region USD Million (2016-2021)
  • Table 19. Smart Machines: by Component(USD Million)
  • Table 20. Smart Machines Hardware , by Region USD Million (2016-2021)
  • Table 21. Smart Machines Software , by Region USD Million (2016-2021)
  • Table 22. Smart Machines Others , by Region USD Million (2016-2021)
  • Table 23. South America Smart Machines, by Country USD Million (2016-2021)
  • Table 24. South America Smart Machines, by Type USD Million (2016-2021)
  • Table 25. South America Smart Machines, by Application USD Million (2016-2021)
  • Table 26. South America Smart Machines, by Technology USD Million (2016-2021)
  • Table 27. South America Smart Machines, by Component USD Million (2016-2021)
  • Table 28. Brazil Smart Machines, by Type USD Million (2016-2021)
  • Table 29. Brazil Smart Machines, by Application USD Million (2016-2021)
  • Table 30. Brazil Smart Machines, by Technology USD Million (2016-2021)
  • Table 31. Brazil Smart Machines, by Component USD Million (2016-2021)
  • Table 32. Argentina Smart Machines, by Type USD Million (2016-2021)
  • Table 33. Argentina Smart Machines, by Application USD Million (2016-2021)
  • Table 34. Argentina Smart Machines, by Technology USD Million (2016-2021)
  • Table 35. Argentina Smart Machines, by Component USD Million (2016-2021)
  • Table 36. Rest of South America Smart Machines, by Type USD Million (2016-2021)
  • Table 37. Rest of South America Smart Machines, by Application USD Million (2016-2021)
  • Table 38. Rest of South America Smart Machines, by Technology USD Million (2016-2021)
  • Table 39. Rest of South America Smart Machines, by Component USD Million (2016-2021)
  • Table 40. Asia Pacific Smart Machines, by Country USD Million (2016-2021)
  • Table 41. Asia Pacific Smart Machines, by Type USD Million (2016-2021)
  • Table 42. Asia Pacific Smart Machines, by Application USD Million (2016-2021)
  • Table 43. Asia Pacific Smart Machines, by Technology USD Million (2016-2021)
  • Table 44. Asia Pacific Smart Machines, by Component USD Million (2016-2021)
  • Table 45. China Smart Machines, by Type USD Million (2016-2021)
  • Table 46. China Smart Machines, by Application USD Million (2016-2021)
  • Table 47. China Smart Machines, by Technology USD Million (2016-2021)
  • Table 48. China Smart Machines, by Component USD Million (2016-2021)
  • Table 49. Japan Smart Machines, by Type USD Million (2016-2021)
  • Table 50. Japan Smart Machines, by Application USD Million (2016-2021)
  • Table 51. Japan Smart Machines, by Technology USD Million (2016-2021)
  • Table 52. Japan Smart Machines, by Component USD Million (2016-2021)
  • Table 53. India Smart Machines, by Type USD Million (2016-2021)
  • Table 54. India Smart Machines, by Application USD Million (2016-2021)
  • Table 55. India Smart Machines, by Technology USD Million (2016-2021)
  • Table 56. India Smart Machines, by Component USD Million (2016-2021)
  • Table 57. South Korea Smart Machines, by Type USD Million (2016-2021)
  • Table 58. South Korea Smart Machines, by Application USD Million (2016-2021)
  • Table 59. South Korea Smart Machines, by Technology USD Million (2016-2021)
  • Table 60. South Korea Smart Machines, by Component USD Million (2016-2021)
  • Table 61. Australia Smart Machines, by Type USD Million (2016-2021)
  • Table 62. Australia Smart Machines, by Application USD Million (2016-2021)
  • Table 63. Australia Smart Machines, by Technology USD Million (2016-2021)
  • Table 64. Australia Smart Machines, by Component USD Million (2016-2021)
  • Table 65. Rest of Asia-Pacific Smart Machines, by Type USD Million (2016-2021)
  • Table 66. Rest of Asia-Pacific Smart Machines, by Application USD Million (2016-2021)
  • Table 67. Rest of Asia-Pacific Smart Machines, by Technology USD Million (2016-2021)
  • Table 68. Rest of Asia-Pacific Smart Machines, by Component USD Million (2016-2021)
  • Table 69. Europe Smart Machines, by Country USD Million (2016-2021)
  • Table 70. Europe Smart Machines, by Type USD Million (2016-2021)
  • Table 71. Europe Smart Machines, by Application USD Million (2016-2021)
  • Table 72. Europe Smart Machines, by Technology USD Million (2016-2021)
  • Table 73. Europe Smart Machines, by Component USD Million (2016-2021)
  • Table 74. Germany Smart Machines, by Type USD Million (2016-2021)
  • Table 75. Germany Smart Machines, by Application USD Million (2016-2021)
  • Table 76. Germany Smart Machines, by Technology USD Million (2016-2021)
  • Table 77. Germany Smart Machines, by Component USD Million (2016-2021)
  • Table 78. France Smart Machines, by Type USD Million (2016-2021)
  • Table 79. France Smart Machines, by Application USD Million (2016-2021)
  • Table 80. France Smart Machines, by Technology USD Million (2016-2021)
  • Table 81. France Smart Machines, by Component USD Million (2016-2021)
  • Table 82. Italy Smart Machines, by Type USD Million (2016-2021)
  • Table 83. Italy Smart Machines, by Application USD Million (2016-2021)
  • Table 84. Italy Smart Machines, by Technology USD Million (2016-2021)
  • Table 85. Italy Smart Machines, by Component USD Million (2016-2021)
  • Table 86. United Kingdom Smart Machines, by Type USD Million (2016-2021)
  • Table 87. United Kingdom Smart Machines, by Application USD Million (2016-2021)
  • Table 88. United Kingdom Smart Machines, by Technology USD Million (2016-2021)
  • Table 89. United Kingdom Smart Machines, by Component USD Million (2016-2021)
  • Table 90. Netherlands Smart Machines, by Type USD Million (2016-2021)
  • Table 91. Netherlands Smart Machines, by Application USD Million (2016-2021)
  • Table 92. Netherlands Smart Machines, by Technology USD Million (2016-2021)
  • Table 93. Netherlands Smart Machines, by Component USD Million (2016-2021)
  • Table 94. Rest of Europe Smart Machines, by Type USD Million (2016-2021)
  • Table 95. Rest of Europe Smart Machines, by Application USD Million (2016-2021)
  • Table 96. Rest of Europe Smart Machines, by Technology USD Million (2016-2021)
  • Table 97. Rest of Europe Smart Machines, by Component USD Million (2016-2021)
  • Table 98. MEA Smart Machines, by Country USD Million (2016-2021)
  • Table 99. MEA Smart Machines, by Type USD Million (2016-2021)
  • Table 100. MEA Smart Machines, by Application USD Million (2016-2021)
  • Table 101. MEA Smart Machines, by Technology USD Million (2016-2021)
  • Table 102. MEA Smart Machines, by Component USD Million (2016-2021)
  • Table 103. Middle East Smart Machines, by Type USD Million (2016-2021)
  • Table 104. Middle East Smart Machines, by Application USD Million (2016-2021)
  • Table 105. Middle East Smart Machines, by Technology USD Million (2016-2021)
  • Table 106. Middle East Smart Machines, by Component USD Million (2016-2021)
  • Table 107. Africa Smart Machines, by Type USD Million (2016-2021)
  • Table 108. Africa Smart Machines, by Application USD Million (2016-2021)
  • Table 109. Africa Smart Machines, by Technology USD Million (2016-2021)
  • Table 110. Africa Smart Machines, by Component USD Million (2016-2021)
  • Table 111. North America Smart Machines, by Country USD Million (2016-2021)
  • Table 112. North America Smart Machines, by Type USD Million (2016-2021)
  • Table 113. North America Smart Machines, by Application USD Million (2016-2021)
  • Table 114. North America Smart Machines, by Technology USD Million (2016-2021)
  • Table 115. North America Smart Machines, by Component USD Million (2016-2021)
  • Table 116. United States Smart Machines, by Type USD Million (2016-2021)
  • Table 117. United States Smart Machines, by Application USD Million (2016-2021)
  • Table 118. United States Smart Machines, by Technology USD Million (2016-2021)
  • Table 119. United States Smart Machines, by Component USD Million (2016-2021)
  • Table 120. Canada Smart Machines, by Type USD Million (2016-2021)
  • Table 121. Canada Smart Machines, by Application USD Million (2016-2021)
  • Table 122. Canada Smart Machines, by Technology USD Million (2016-2021)
  • Table 123. Canada Smart Machines, by Component USD Million (2016-2021)
  • Table 124. Mexico Smart Machines, by Type USD Million (2016-2021)
  • Table 125. Mexico Smart Machines, by Application USD Million (2016-2021)
  • Table 126. Mexico Smart Machines, by Technology USD Million (2016-2021)
  • Table 127. Mexico Smart Machines, by Component USD Million (2016-2021)
  • Table 128. Smart Machines: by Type(USD/Units)
  • Table 129. Company Basic Information, Sales Area and Its Competitors
  • Table 130. Company Basic Information, Sales Area and Its Competitors
  • Table 131. Company Basic Information, Sales Area and Its Competitors
  • Table 132. Company Basic Information, Sales Area and Its Competitors
  • Table 133. Company Basic Information, Sales Area and Its Competitors
  • Table 134. Company Basic Information, Sales Area and Its Competitors
  • Table 135. Company Basic Information, Sales Area and Its Competitors
  • Table 136. Company Basic Information, Sales Area and Its Competitors
  • Table 137. Company Basic Information, Sales Area and Its Competitors
  • Table 138. Company Basic Information, Sales Area and Its Competitors
  • Table 139. Smart Machines: by Type(USD Million)
  • Table 140. Smart Machines Robots , by Region USD Million (2022-2027)
  • Table 141. Smart Machines Self-Driving Cars , by Region USD Million (2022-2027)
  • Table 142. Smart Machines Others , by Region USD Million (2022-2027)
  • Table 143. Smart Machines: by Application(USD Million)
  • Table 144. Smart Machines Life Sciences , by Region USD Million (2022-2027)
  • Table 145. Smart Machines Retails , by Region USD Million (2022-2027)
  • Table 146. Smart Machines Logistics , by Region USD Million (2022-2027)
  • Table 147. Smart Machines Financial Services Firms , by Region USD Million (2022-2027)
  • Table 148. Smart Machines Healthcare , by Region USD Million (2022-2027)
  • Table 149. Smart Machines Agriculture , by Region USD Million (2022-2027)
  • Table 150. Smart Machines Defense , by Region USD Million (2022-2027)
  • Table 151. Smart Machines Others , by Region USD Million (2022-2027)
  • Table 152. Smart Machines: by Technology(USD Million)
  • Table 153. Smart Machines Cloud Computing technology , by Region USD Million (2022-2027)
  • Table 154. Smart Machines Robotics , by Region USD Million (2022-2027)
  • Table 155. Smart Machines Cognitive Technology , by Region USD Million (2022-2027)
  • Table 156. Smart Machines Others , by Region USD Million (2022-2027)
  • Table 157. Smart Machines: by Component(USD Million)
  • Table 158. Smart Machines Hardware , by Region USD Million (2022-2027)
  • Table 159. Smart Machines Software , by Region USD Million (2022-2027)
  • Table 160. Smart Machines Others , by Region USD Million (2022-2027)
  • Table 161. South America Smart Machines, by Country USD Million (2022-2027)
  • Table 162. South America Smart Machines, by Type USD Million (2022-2027)
  • Table 163. South America Smart Machines, by Application USD Million (2022-2027)
  • Table 164. South America Smart Machines, by Technology USD Million (2022-2027)
  • Table 165. South America Smart Machines, by Component USD Million (2022-2027)
  • Table 166. Brazil Smart Machines, by Type USD Million (2022-2027)
  • Table 167. Brazil Smart Machines, by Application USD Million (2022-2027)
  • Table 168. Brazil Smart Machines, by Technology USD Million (2022-2027)
  • Table 169. Brazil Smart Machines, by Component USD Million (2022-2027)
  • Table 170. Argentina Smart Machines, by Type USD Million (2022-2027)
  • Table 171. Argentina Smart Machines, by Application USD Million (2022-2027)
  • Table 172. Argentina Smart Machines, by Technology USD Million (2022-2027)
  • Table 173. Argentina Smart Machines, by Component USD Million (2022-2027)
  • Table 174. Rest of South America Smart Machines, by Type USD Million (2022-2027)
  • Table 175. Rest of South America Smart Machines, by Application USD Million (2022-2027)
  • Table 176. Rest of South America Smart Machines, by Technology USD Million (2022-2027)
  • Table 177. Rest of South America Smart Machines, by Component USD Million (2022-2027)
  • Table 178. Asia Pacific Smart Machines, by Country USD Million (2022-2027)
  • Table 179. Asia Pacific Smart Machines, by Type USD Million (2022-2027)
  • Table 180. Asia Pacific Smart Machines, by Application USD Million (2022-2027)
  • Table 181. Asia Pacific Smart Machines, by Technology USD Million (2022-2027)
  • Table 182. Asia Pacific Smart Machines, by Component USD Million (2022-2027)
  • Table 183. China Smart Machines, by Type USD Million (2022-2027)
  • Table 184. China Smart Machines, by Application USD Million (2022-2027)
  • Table 185. China Smart Machines, by Technology USD Million (2022-2027)
  • Table 186. China Smart Machines, by Component USD Million (2022-2027)
  • Table 187. Japan Smart Machines, by Type USD Million (2022-2027)
  • Table 188. Japan Smart Machines, by Application USD Million (2022-2027)
  • Table 189. Japan Smart Machines, by Technology USD Million (2022-2027)
  • Table 190. Japan Smart Machines, by Component USD Million (2022-2027)
  • Table 191. India Smart Machines, by Type USD Million (2022-2027)
  • Table 192. India Smart Machines, by Application USD Million (2022-2027)
  • Table 193. India Smart Machines, by Technology USD Million (2022-2027)
  • Table 194. India Smart Machines, by Component USD Million (2022-2027)
  • Table 195. South Korea Smart Machines, by Type USD Million (2022-2027)
  • Table 196. South Korea Smart Machines, by Application USD Million (2022-2027)
  • Table 197. South Korea Smart Machines, by Technology USD Million (2022-2027)
  • Table 198. South Korea Smart Machines, by Component USD Million (2022-2027)
  • Table 199. Australia Smart Machines, by Type USD Million (2022-2027)
  • Table 200. Australia Smart Machines, by Application USD Million (2022-2027)
  • Table 201. Australia Smart Machines, by Technology USD Million (2022-2027)
  • Table 202. Australia Smart Machines, by Component USD Million (2022-2027)
  • Table 203. Rest of Asia-Pacific Smart Machines, by Type USD Million (2022-2027)
  • Table 204. Rest of Asia-Pacific Smart Machines, by Application USD Million (2022-2027)
  • Table 205. Rest of Asia-Pacific Smart Machines, by Technology USD Million (2022-2027)
  • Table 206. Rest of Asia-Pacific Smart Machines, by Component USD Million (2022-2027)
  • Table 207. Europe Smart Machines, by Country USD Million (2022-2027)
  • Table 208. Europe Smart Machines, by Type USD Million (2022-2027)
  • Table 209. Europe Smart Machines, by Application USD Million (2022-2027)
  • Table 210. Europe Smart Machines, by Technology USD Million (2022-2027)
  • Table 211. Europe Smart Machines, by Component USD Million (2022-2027)
  • Table 212. Germany Smart Machines, by Type USD Million (2022-2027)
  • Table 213. Germany Smart Machines, by Application USD Million (2022-2027)
  • Table 214. Germany Smart Machines, by Technology USD Million (2022-2027)
  • Table 215. Germany Smart Machines, by Component USD Million (2022-2027)
  • Table 216. France Smart Machines, by Type USD Million (2022-2027)
  • Table 217. France Smart Machines, by Application USD Million (2022-2027)
  • Table 218. France Smart Machines, by Technology USD Million (2022-2027)
  • Table 219. France Smart Machines, by Component USD Million (2022-2027)
  • Table 220. Italy Smart Machines, by Type USD Million (2022-2027)
  • Table 221. Italy Smart Machines, by Application USD Million (2022-2027)
  • Table 222. Italy Smart Machines, by Technology USD Million (2022-2027)
  • Table 223. Italy Smart Machines, by Component USD Million (2022-2027)
  • Table 224. United Kingdom Smart Machines, by Type USD Million (2022-2027)
  • Table 225. United Kingdom Smart Machines, by Application USD Million (2022-2027)
  • Table 226. United Kingdom Smart Machines, by Technology USD Million (2022-2027)
  • Table 227. United Kingdom Smart Machines, by Component USD Million (2022-2027)
  • Table 228. Netherlands Smart Machines, by Type USD Million (2022-2027)
  • Table 229. Netherlands Smart Machines, by Application USD Million (2022-2027)
  • Table 230. Netherlands Smart Machines, by Technology USD Million (2022-2027)
  • Table 231. Netherlands Smart Machines, by Component USD Million (2022-2027)
  • Table 232. Rest of Europe Smart Machines, by Type USD Million (2022-2027)
  • Table 233. Rest of Europe Smart Machines, by Application USD Million (2022-2027)
  • Table 234. Rest of Europe Smart Machines, by Technology USD Million (2022-2027)
  • Table 235. Rest of Europe Smart Machines, by Component USD Million (2022-2027)
  • Table 236. MEA Smart Machines, by Country USD Million (2022-2027)
  • Table 237. MEA Smart Machines, by Type USD Million (2022-2027)
  • Table 238. MEA Smart Machines, by Application USD Million (2022-2027)
  • Table 239. MEA Smart Machines, by Technology USD Million (2022-2027)
  • Table 240. MEA Smart Machines, by Component USD Million (2022-2027)
  • Table 241. Middle East Smart Machines, by Type USD Million (2022-2027)
  • Table 242. Middle East Smart Machines, by Application USD Million (2022-2027)
  • Table 243. Middle East Smart Machines, by Technology USD Million (2022-2027)
  • Table 244. Middle East Smart Machines, by Component USD Million (2022-2027)
  • Table 245. Africa Smart Machines, by Type USD Million (2022-2027)
  • Table 246. Africa Smart Machines, by Application USD Million (2022-2027)
  • Table 247. Africa Smart Machines, by Technology USD Million (2022-2027)
  • Table 248. Africa Smart Machines, by Component USD Million (2022-2027)
  • Table 249. North America Smart Machines, by Country USD Million (2022-2027)
  • Table 250. North America Smart Machines, by Type USD Million (2022-2027)
  • Table 251. North America Smart Machines, by Application USD Million (2022-2027)
  • Table 252. North America Smart Machines, by Technology USD Million (2022-2027)
  • Table 253. North America Smart Machines, by Component USD Million (2022-2027)
  • Table 254. United States Smart Machines, by Type USD Million (2022-2027)
  • Table 255. United States Smart Machines, by Application USD Million (2022-2027)
  • Table 256. United States Smart Machines, by Technology USD Million (2022-2027)
  • Table 257. United States Smart Machines, by Component USD Million (2022-2027)
  • Table 258. Canada Smart Machines, by Type USD Million (2022-2027)
  • Table 259. Canada Smart Machines, by Application USD Million (2022-2027)
  • Table 260. Canada Smart Machines, by Technology USD Million (2022-2027)
  • Table 261. Canada Smart Machines, by Component USD Million (2022-2027)
  • Table 262. Mexico Smart Machines, by Type USD Million (2022-2027)
  • Table 263. Mexico Smart Machines, by Application USD Million (2022-2027)
  • Table 264. Mexico Smart Machines, by Technology USD Million (2022-2027)
  • Table 265. Mexico Smart Machines, by Component USD Million (2022-2027)
  • Table 266. Smart Machines: by Type(USD/Units)
  • Table 267. Research Programs/Design for This Report
  • Table 268. Key Data Information from Secondary Sources
  • Table 269. Key Data Information from Primary Sources
List of Figures
  • Figure 1. Porters Five Forces
  • Figure 2. Supply/Value Chain
  • Figure 3. PESTEL analysis
  • Figure 4. Global Smart Machines: by Type USD Million (2016-2021)
  • Figure 5. Global Smart Machines: by Application USD Million (2016-2021)
  • Figure 6. Global Smart Machines: by Technology USD Million (2016-2021)
  • Figure 7. Global Smart Machines: by Component USD Million (2016-2021)
  • Figure 8. South America Smart Machines Share (%), by Country
  • Figure 9. Asia Pacific Smart Machines Share (%), by Country
  • Figure 10. Europe Smart Machines Share (%), by Country
  • Figure 11. MEA Smart Machines Share (%), by Country
  • Figure 12. North America Smart Machines Share (%), by Country
  • Figure 13. Global Smart Machines: by Type USD/Units (2016-2021)
  • Figure 14. Global Smart Machines share by Players 2021 (%)
  • Figure 15. Global Smart Machines share by Players (Top 3) 2021(%)
  • Figure 16. Global Smart Machines share by Players (Top 5) 2021(%)
  • Figure 17. BCG Matrix for key Companies
  • Figure 18. KUKA (Germany) Revenue, Net Income and Gross profit
  • Figure 19. KUKA (Germany) Revenue: by Geography 2021
  • Figure 20. IBM (United States) Revenue, Net Income and Gross profit
  • Figure 21. IBM (United States) Revenue: by Geography 2021
  • Figure 22. Apple (United States) Revenue, Net Income and Gross profit
  • Figure 23. Apple (United States) Revenue: by Geography 2021
  • Figure 24. Google (United States) Revenue, Net Income and Gross profit
  • Figure 25. Google (United States) Revenue: by Geography 2021
  • Figure 26. Clearpath Robotics (Canada) Revenue, Net Income and Gross profit
  • Figure 27. Clearpath Robotics (Canada) Revenue: by Geography 2021
  • Figure 28. Mobile Industrial Robotics (Denmark) Revenue, Net Income and Gross profit
  • Figure 29. Mobile Industrial Robotics (Denmark) Revenue: by Geography 2021
  • Figure 30. Aethon (United States) Revenue, Net Income and Gross profit
  • Figure 31. Aethon (United States) Revenue: by Geography 2021
  • Figure 32. Cerner (United States) Revenue, Net Income and Gross profit
  • Figure 33. Cerner (United States) Revenue: by Geography 2021
  • Figure 34. Microsoft (United States) Revenue, Net Income and Gross profit
  • Figure 35. Microsoft (United States) Revenue: by Geography 2021
  • Figure 36. Philips Healthcare (Netherlands) Revenue, Net Income and Gross profit
  • Figure 37. Philips Healthcare (Netherlands) Revenue: by Geography 2021
  • Figure 38. Global Smart Machines: by Type USD Million (2022-2027)
  • Figure 39. Global Smart Machines: by Application USD Million (2022-2027)
  • Figure 40. Global Smart Machines: by Technology USD Million (2022-2027)
  • Figure 41. Global Smart Machines: by Component USD Million (2022-2027)
  • Figure 42. South America Smart Machines Share (%), by Country
  • Figure 43. Asia Pacific Smart Machines Share (%), by Country
  • Figure 44. Europe Smart Machines Share (%), by Country
  • Figure 45. MEA Smart Machines Share (%), by Country
  • Figure 46. North America Smart Machines Share (%), by Country
  • Figure 47. Global Smart Machines: by Type USD/Units (2022-2027)
List of companies from research coverage that are profiled in the study
  • KUKA (Germany)
  • IBM (United States)
  • Apple (United States)
  • Google (United States)
  • Clearpath Robotics (Canada)
  • Mobile Industrial Robotics (Denmark)
  • Aethon (United States)
  • Cerner (United States)
  • Microsoft (United States)
  • Philips Healthcare (Netherlands)
Additional players considered in the study are as follows:
Samsung (South Korea) , Narrative Science (United States) , McKesson (United States) , Elsevier (Netherlands)
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Apr 2022 200 Pages 76 Tables Base Year: 2021 Coverage: 15+ Companies; 18 Countries

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