Smart Machines: Technologies and Global Markets

Report Code: IAS094C

Publish Date: Oct 2021

Publisher: BCC Publishing

Category: Instruments

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Report Highlights

The global market smart machines should grow from $101.5 billion in 2021 to $211.7 billion by 2026, at compound annual growth rate (CAGR) of 15.8% for the period of 2021-2026.

Report Includes

  • 77 tables
  • An updated review of the global markets for smart machines and related cognitive computing technology systems
  • Analyses of the global market trends, with data from 2019-2020, estimates for 2021, and projections of compound annual growth rates (CAGRs) through 2026
  • Evaluation and forecast the smart machines market size (product sales in USD millions), and corresponding market share analysis by type of technology, application, and geographic region
  • Discussion of the smart machine products and related technologies with the greatest commercial potential over the next five years (2021 to 2026)
  • Assessment of the key drivers and constraints that will shape the market for these products and technologies over the next five years
  • Estimating the current and future demand for smart machine products and enabling technologies
  • Identification of the companies best positioned to meet this demand owing to their proprietary technologies, mergers and acquisitions, new product developments, and other growth strategies
  • Descriptive profiles of the major market players including Bristol Robotics Laboratory, Crouzet, Robotic Technology Inc., Applied Analytic Systems, Brain Corp., CrossBar Inc., Qualcomm Inc., Siemens AG, BAE, Caterpillar, iRobot, Samsung, Intel Corp., Creative Virtual

Report Scope

This report identifies and quantifies the potential market for various types of smart machines, including: 

  • Expert systems (e.g., medical decision support systems, smart grid).
  • Embedded software (machine monitoring and control systems).
  • Autonomous robots (including self-driving vehicles).
  • Purpose-built smart machines (such as neural computers).
  • Virtual reality assistants (e.g., Siri).
  • Intelligent agents (e.g., automated online assistants). 

These technologies are generally at an early stage of development, so it will be necessary to consider the market at least as far out as 2026 to obtain meaningful results. A separate section of the report discusses the development and future sales of key enabling technologies for the next generation of smart machines, such as: 

  • Voice recognition technology.
  • Micro- and nanosensors.
  • Radio frequency technologies.
  • Neurocomputing. 

The study format includes the following major elements: 

  • Executive summary.
  • Definitions.
  • Historical milestones.
  • Technologies and applications that have the greatest commercial potential through 2026.
  • Detailed market estimates and projections for each technology and application during the period 2021 to 2026.
  • Companies, academic and government laboratories that are developing smart machines. 
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Analyst Credentials

BCC Research Team possesses expertise and experience in life and physical science domains. They specialize in offering valuable business insights, including industry analysis, competitor intelligence, strategic and financial analysis, and opportunity assessment. The team has in-depth knowledge of various sectors, including healthcare, biotechnology, pharmaceuticals, IT, automation, advanced materials, and energy. They are proficient in qualitative and quantitative market intelligence providing clients with actionable insights. With a vast understanding of the competitive landscape, the team can support clients in making data-driven decisions to help them achieve a competitive edge in their respective markets.

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Table of Contents

All reports provided in PDF format. For shared licensing options (5+ Users), please call a representative at (+1) 781-489-7301 or contact us at info@bccresearch.com
Title/Chapter NamePagesMember Price
Full Report: Smart Machines: Technologies and Global Markets173Free
Chapter- 1: Introduction6Free
Chapter- 2: Summary and Highlights2Free
Chapter- 3: Market Overview17Free
Chapter- 4: Expert Systems13Free
Chapter- 5: Neural Computers22Free
Chapter- 6: Autonomous Robots28Free
Chapter- 7: Embedded Systems7Free
Chapter- 8: Intelligent Assistants7Free
Chapter- 9: Company Profiles71Free
Published - Mar-2016| Analyst - Andrew McWilliams| Code - IAS094B

Report Highlights

The global market for smart machines reached $6.6 billion in 2015. The market should reach $7.4 billion in 2016 and nearly $15.0 billion in 2021, at a compound annual growth rate (CAGR) of 15.0% from 2016 to 2021.

Report Includes

  • An overview of the global market for smart machines.
  • The details which define these machines including the ability to adapt to and learn from changing conditions in real time, the capacity to operate autonomously (without direct human supervision), and having the capability to communicate with other machines.
  • Analyses of global market trends, with data from 2015 estimates for 2016, as well as five and ten year projections of CAGRs through 2021 and 2026.
  • Potential markets for various types of smart machines such as virtual reality assistants, intelligent agents, expert systems, embedded software, autonomous robots, and purpose-built smart machines.
  • Key enabling technologies for the next generation of smart machines, including voice recognition technology, micro- and nanosensors, radio frequency technologies, and neurocomputing.
  • A relative patent analysis.
  • Profiles of major players in the industry.
Published - May-2014| Analyst - Andrew McWilliams| Code - IAS094A

Report Highlights

The global market for smart machines was valued at $5.3 billion in 2013. This market is expected to increase to over $6.2 billion in 2014 and nearly $15.3 billion in 2019, a compound annual growth rate (CAGR) of 19.7% for the five-year period 2014 to 2019.

Report Includes

  • An overview of the global market for smart machines.
  • The details which define these machines including the ability to adapt to and learn from changing conditions in real time, the capacity to operate autonomously (without direct human supervision), and having the capability to communicate with other machines.
  • Analyses of global market trends, with data from 2013, estimates for 2014 and 2019, and projections of CAGRs through 2024.
  • Potential markets for various types of smart machines such as virtual reality assistants, intelligent agents, expert systems, embedded software, autonomous robots, and purpose-built smart machines.
  • Key enabling technologies for the next generation of smart machines, including voice recognition technology, micro- and nanosensors, radio frequency technologies, and neurocomputing.

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Smart Machines: Technologies and Global Markets
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