Medical Robotics Market: Global Industry Analysis and Forecast 2026

Medical Robotics Market is expected to reach USD 33.65 Billion by 2026 from USD 4.92 Billion in 2016 at a CAGR of 21.2%. Medical robotics is a technologically advanced system which provides assistance during intricate surgical procedures, physical complications, and hospital automation in order to achieve precision in surgical, rehabilitation, and assistive methods. Based on product, Medical Robotics Market has been segmented into instruments & accessories and medical robotic systems. The medical robotic system segment is further sub segmented as surgical robots, rehabilitation robotic systems, noninvasive radio surgery robotic systems, hospital & pharmacy robotic systems and other robotic systems. Application segment is categorized as laparoscopy, cardiology, neurology, orthopedics and rehabilitation among others. Growing geriatric population along with rise in number of number of complex diseases and invasive surgeries have been a few major factors that has driven demand for medical robots globally. North America and Europe is expected to form two key regions for medical robots market, Factors such as huge government grants and investments to improve medical infrastructure along with growth in research areas have propelled the market demand for medical robots. APAC is expected to grow at one of the fastest rate among other regions.

Key Highlights:

• Medical Robots market analysis and forecast, in terms of value. • Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Medical Robots market. • Medical Robots market segmentation on the basis of type, source, end-user, and region (country-wise) has been provided. • Medical Robots market strategic analysis with respect to individual growth trends, future prospects along with contribution of various sub-market stakeholders have been considered under the scope of study. • Medical Robots market analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation. • Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled. • Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Medical Robots market are also profiled.

Research Methodology

Bloomberg, Factiva and Hoovers are some of the sites that are being referred to gain insights about Medical Robots market. Experts from top manufacturing companies along with other stakeholders have been considered. This is done to validate and collect critical information for evaluating trends related to this market during the forecast period. Top-down and bottom-up approaches have been used to estimate the global and regional size of this market. Data triangulation techniques along with other comparative analysis are also used to calculate the exact size of the Medical Robots market globally.

Medical Robotics Market: Global Industry Analysis and Forecast 2026

Voice Recognition System Market for Automotive – Global Industry Analysis and Forecast (2017-2026

Market Scenario

Voice Recognition System Market for Automotive is expected to reach USD 5088.91 Million by 2026 from USD 875.8 Million in 2016 at a CAGR of 19.24 %.(detailed analysis of the market CAGR is provided in the report). Voice recognition also referred as speech recognition is a system that translates the analog waves of human voice into digital data by sampling the sound and to convert speech to on-screen text or a computer command, a computer has to go through several complex steps. Voice recognition is an alternative to typing on a keyboard in order to operate device, perform commands, or write without having to use a keyboard, mouse, or press any buttons; basically a computer software program or hardware device with the ability to decode the human voice. Voice recognition is a process of providing a fairly natural and intuitive way of controlling the simulation while allowing the user's hands to remain free.




Voice Recognition System in Automotive
The main purpose of introducing voice recognition in automotive sector is to simplify the life of driver and passenger in vehicle and furthermore make user-friendly operating system in order to perform some actions using speech commands by the driver or the passengers such as open/close doors, switch on/off headlamp and signal indicator of the vehicle and more. Voice recognition system in automotive consist of control of communication systems integrated in the car infotainment system including telephone, audio devices and destination inputs for navigation. This system will facilitate in achieving “hands-free,” “eyes-free” operation mode.

High cost of high-end voice recognition system will restrain the market growth in near future. However, the cost of the voice recognition system is likely to decrease in the coming years. Higher adoption rate by vehicle manufacturers to equip passenger cars with voice recognition system will lead to raise the demand for Voice Recognition System Market for Automotive in forecast period.

The highest revenue generating region is North America in 2016; However, APAC is projected to be one of the fastest-growing regions in the Voice Recognition System Market for Automotive by 2026. Rise in significant adoption of advance technologies in automotive electronics in APAC will drive the market in near future.








Key Highlights:
• Voice Recognition System Market for Automotive analysis and forecast, in terms of volume and value.
• Comprehensive study and analysis of market drivers, restraints and opportunities influencing the growth of the Voice Recognition System Market for Automotive.
• Voice Recognition System Market for Automotive segmentation on the basis technology, level of autonomous driving, fuel type, end-user, application, and geography. (Country-wise) has been provided.
• Voice Recognition System Market for Automotive strategic analysis with respect to individual growth trends, future prospects along with contribution of various sub-market stakeholders have been considered under the scope of study.
• Voice Recognition System Market for Automotive analysis and forecast for five major regions namely North America, Europe, Asia Pacific, the Middle East & Africa (MEA) and Latin America along with country-wise segmentation.
• Profiles of key industry players, their strategic perspective, market positioning and analysis of core competencies are further profiled.
• Competitive developments, investments, strategic expansion and competitive landscape of the key players operating in the Voice Recognition System Market for Automotive are also profiled.

Years that have been considered for the study are as follows:
• Base Year – 2016
• Estimated Year – 2016
• Forecast Period – 2016 to 2026
For company profiles, 2016 has been considered as the base year. In cases, wherein information was unavailable for the base year, the years prior to it have been considered




Research Methodology


American Association of Motor Vehicle Administrators (AAMVA), International Organization of Motor Vehicle Manufacturers (OICA), Automotive Component Manufacturers Association of India (ACMA), Bloomberg, Hoovers, Factiva are some of the sites that are being referred to gain insights about Voice Recognition System Market for Automotive. Experts from top manufacturing companies along with other stakeholders have been considered. This is done to validate and collect critical information for evaluating trends related to this market during the forecast period. Top-down and bottom-up approaches have been used to estimate the global and regional size of this market. Data triangulation techniques along with other comparative analysis are also used to calculate the exact size of the Voice Recognition System Market for Automotive globally.




Key players in the Voice Recognition System market for Automotive are:
• Apple
• Harman
• Nuance
• Vocalzoom
• Alphabet
• Inago
• Sensory
• Lumenvox
• Voicebox
• Microsoft




Key Target Audience:
• Automobile industry and related end-user industries
• Research and consulting firms
• Voice Recognition System Market for Automotive Investors
• Automotive voice recognition system manufacturers and component suppliers
• Industry associations and other driver assistance systems manufacturers
• Automotive voice recognition system manufacturers and software suppliers

Scope of the Report: The Research report segments the Voice Recognition System Market for Automotive based on technology, level of autonomous driving, fuel type, end-user, application, and geography.

Voice Recognition System Market for Automotive, by Technology (Volume Only)
• Embedded
• Hybrid

Voice Recognition System Market for Automotive, by Application (Value Only)
• Artificial Intelligence
• Non-Artificial Intelligence

Voice Recognition System Market for Automotive, by Fuel Type
• Battery Electric Vehicle (BEV)
• Internal Combustion Engine (ICE)
• Others (Hybrid Vehicles)

Voice Recognition System Market for Automotive, by Level of Autonomous Driving
• Autonomous
• Conventional
• Semi-Autonomous

Voice Recognition System Market for Automotive, by End user
• Economy Vehicles
• Mid-Priced Vehicles
• Luxury Vehicles

Voice Recognition System Market for Automotive, by Geography
• North America
• Europe
• Asia Pacific
• Middle East & Africa
• Latin America

Available Customization
Maximize Market Research offers customization of report and scope of the report as per the specific requirement of our client.






Voice Recognition System Market for Automotive: Industry analysis and forecast 2026

Top Ten Technology Breakthroughs in automobile industry in 2018

Top Ten Technology Breakthroughs in 2018

Predictive Cars

AI is going to predictive capabilities and machine learning into cars and vehicles, enabling drivers to personalize driving experience. It will automate the process of from setting up car seat to in-vehicle infotainment and application preferences. Cars’ service will be personalized accordingly through AI. Like voice commands, no need to push levers buttons etc..

Additionally, the few remaining things which we might need to set-up or configure ourselves will be configured through voice-commands. No more need to push levers and buttons, no more need to take our hands off the wheel. With AI becoming the new user interface, connected cars will become truly useful and integrated into our connected lifestyles.

Breakthrough in “in-vehicle” Artificial Inteligence

Applications in cars are not as sophisticated as in mobile, it makes majority of digital application almost useless. For example, if one’s home to office direction and road is fixed, car should navigate a software automatically.

If connectivity, computer power and data is there, what is missing? Means of interaction with data in seamless and smart ways to enhance the driving without distraction is missing. And artificial intelligence will change it.

Breakthrough in AI and algorithm solution is going to be the most important step in auto technology in 2018.

However, AI is not only some of the trends…

Cars to get smarter

Smarter cars will enable new digital services like predictive parking, predictive vehicle maintains will turn entire after sales business on its head.

For example, car or vehicle will predict when part is going to fail, book the maintenance slot, order spare part etc…

Self-configuring cars are expected this year that can predict drivers preferences, weather and road conditions and tweak their configurations like suspension setting accordingly.

A password for car

AI will be able to learn more about drivers and their preferences and well digital service will finally come to cars. Its digital identity management- user account and passwords for cars

More IOT and Cloud

OEMs will keep investing in IoT and cloud technologies in areas of supply chain management and information technology.

More connected cars and vehicles will become high performing. Higher agility will be solved by investing in cloud infrastructure will lead to lower cost to manage demand fluctuations.

Analytics At The Edge

OEM to step up analytics: Capacities to extract value from large data are the key and it is still being built. It is being built in all the functions of OEM including manufacturing, marketing, and sales and after sales.

The Edge analytics, which is the capability of embedding analytics in routers and other edge devices, has started. However, self-driving cars are yet to be commercialize, edge analytics will consolidate its position in 2018.

Robots In The Backoffice

Artificial Intelligence will help OEMs streamline and automate many of their functions in areas of finance. HR, Marketing and Sales and in customer service as well  

According to recent survey, AI is supposed to boost 39% productivity in manufacturing section.

Blockchain Makes an Entrance

IT and data security has become a big concern in digital world. Blockchain, the encryption solution using public “ledgers” to secure digital payments will be used to authenticate drivers, cars, car parts and data transmission and other parts of digitized auto industry.

Augmented Reality Everywhere

Virtual reality will very much stay however, augmented and mixed-reality have proven much more useful. More AR will be used in construction, engineering, marketing and maybe even next-gen heads-up displays in cars.

And this shift is going to boost the rise of new technology called digital twins or virtual 3D representations of physical products.

Fully self driving? Not yet…

Progress in self-driving technology is expected in 2018, however, the fully autonomous cars will not come in 2018. Level two and may be level three features in premium vehicles are expected in next twelve months like slef parking or traffic jam assistants.

There are many challenges preventing higher levels in self-driven automation at the same time in most of the countries, drivers will not be allowed to use level three features, which they might have in their cars.

There are still numerous technical challenges preventing us from reaching higher levels, and then there’s regulation: In most countries drivers will not even be allowed to use the level three features which they might get in their new cars.

We view 2018 as the year for the Connected Car—but the self-driving one will have to wait…

 https://www.maximizemarketresearch.com/top-ten-technology-breakthroughs-automobile-industry-2018/