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priyablog26 · 11 months ago

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Global Machine Vision Market Research and Analysis by Expert: Cost Structures, Growth rate, Market Statistics and Forecasts to 2030

Global Machine Vision Market Size, Share, Trend, Growth and Global Opportunity Analysis and Industry Forecast, 2023-2030.

Overview

The Global Machine Vision Market is likely to exhibit steady growth over the forecast period, according to the latest report on Qualiket Research.

Global Machine Vision Market was valued at USD 14.4 billion in 2022 and is slated to reach USD 27.86 billion by 2030 at a CAGR of 8.60% from 2023-2030.

Machine vision (MV) is a field of computer science that focuses on providing imaging-based automatic inspection and analysis for a variety of industrial applications, including process control, robot guiding, and automatic inspection.

Key Players:

Allied Vision Technologies GmbH

Basler AG, Cognex Corporation

Keyence Corporation

LMI Technologies, Inc.

Microscan Systems, Inc.

National Instruments Corporation

OMRON Corporation

Sick AG

Tordivel AS.

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Market Segmentation

Global Machine Vision Market is segmented into By Type, Component, Function Module, Platform, Camera Vision & Lenses and Industry. By Type such as 1D Vision Systems, 2D Vision Systems, Area Scan, Line Scan, 3D Vision Systems. By Components such as Hardware, Software, Services. By Function Module such as Positioning/, Guidance/ Location, Identification, Inspection and Verification, Gauging/ Measurement, Soldering and Welding, Material Handling, Assembling and Disassembling, Painting and Dispensing, Others) By Platform such as PC Based, Camera Based Vision System. By Camera Vision and Lenses such as Lens, Telecentric Lenses, Macro and Fixed Focal Lenses, 360-degree view lenses, Infrared & UV lenses, Short Wave Infrared Lenses, Medium Wave Infrared Lenses, Long Wave Infrared Lenses, Ultraviolet Lenses, Camera Vision, Area Scan Camera, Line Scan Cameras). By Industry such as Industrial Applications, Automotive, Electronics Manufacturing, Food & Beverage Manufacturing, Packaging, Semiconductors, Pharmaceuticals, Warehouse & Logistics, Wood & Paper, Textiles, Glass, Rubber & Plastic, Non-Industrial Applications, Printing, Sports & Entertainment.

Regional Analysis

Global Machine Vision Market is segmented into five regions Americas, Europe, Asia-Pacific, and the Middle East & Africa. A high number of providers with local roots are present in North America, which has the greatest market for machine vision because of the region's early adoption of manufacturing automation. Its supremacy in this market is also a result of the semiconductor sector's dominance in the North American region, a crucial sector for MV systems. Europe is the second-largest market for machine vision, thanks to a robust industrial sector and rising automation demand. Some of the top machine vision manufacturers and suppliers are based in this area.

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QualiKet Research is dedicated to enhancing the ability of faster decision making by providing timely and scalable intelligence.

QualiKet Research strive hard to simplify strategic decisions enabling you to make right choice. We use different intelligence tools to come up with evidence that showcases the threats and opportunities which helps our clients outperform their competition. Our experts provide deep insights which is not available publicly that enables you to take bold steps.

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bestbyce · 5 years ago

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Bicyle Price in India

"The developing adequacy of electrical vehicles in India has allowed us a chance to connect more towards our vision of catching 10 percent share in worldwide electric bike fabricating by 2022. Our resolute spotlight on supporting our ability in research and plan advancement just as in assembling to deliver really worldwide e-bicycles in India will assume a basic job in it. Our item grandstand at the Auto Expo is genuinely illustrative of this way breaking jump for our image," said Pankaj M Munjal, Chairman and Managing Director, HMC, a Hero Motors Company.

Saint Cycles likewise showed E-bicycles from the stable of the as of late obtained German firm HNF Nicolai which will before long make advances in the Indian market also.The organization's current portfolio in the urban e-bicycle section as the Lectro brand with items like Townmaster, Glide and E Zephyr was additionally in plain view at their structure.Nexzu Mobility, a Pune-based electric vehicle startup, has propelled three electric bikes – Roadlark, Aello, and Rompus. These electric bikes have been estimated in the scope of Rs 25,000 to Rs 37,000. The three electric bikes are fitted with a 36-volt, 250-watt brushless DC engine.

The lithium-particle batteries utilized by Nexzu Mobility are professed to have a lifecycle of 750 charges and takes three to four hours to be completely energized."The core of EV selection lies in a move away from overwhelming mechanical guide which depends on non-sustainable wellsprings of vitality. As perhaps the least difficult machine, e-cycles best speak to the embodiment of the overall EV drive. With this dispatch, we intend to help the appropriation of e-cycles in India, which will profit nature as well as the individual soundness of our clients."

The Nexzu Roadlaark has a scope of 65 km in pedal mode and 55 km in throttle mode. It has a top speed of 25 kmph. Driving the electric bike are twin batteries - a 5.2-Ah and a 8.8-Ah unit. The e-cycle accompanies circle brakes at both the finishes. The Aello, situated as a unisex item, gets a scope of 45 km on pedal mode and 38 km on throttle mode. It is fueled by a 8.8-Ah battery with a front circle and back drum brake. Other than that, the Rompus, with its 5.2-Ah battery, has a scope of 25 km in pedal mode and 20 km in throttle mode. A front circle brake is likewise on offer in the e-cycle. Nexzu Mobility, previously known as Avan Motors, was rebranded in January 2020. The Pune-based startup was built up in 2015, and at present, it is meaning to be India's biggest start to finish electric versatility arrangements brand. The organization has 60 sellers present across India. Its Pune plant in Hinjewadi is spread more than 22,000 sq-feet and has an introduced yearly limit of 36,000 units. Research Report gives key investigation available status of the Best Bicycle in India producers with best statistical data points, which means, definition, SWOT examination, master suppositions and the most recent improvements over the globe.

#A.

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glitterytalerunaway · 3 years ago

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Adaptive Robot Market Latest Trend, Business Opportunities, And Industry Forecast 2027

Summary:

A new study title “Adaptive Robot market size, status and forecast 2027” has been featured on market research future.

Market Overview:

Market Research Future (MRFR), in its latest report on the adaptive robot market 2020 reveals different factors that are likely to prompt the expansion of the market. Growth opportunities and potential threats are also discussed in the report. In addition, the impact of COVID 19 on adaptive robot market is also explained in the report. MRFR data reveals that the adaptive robot market is can expand at considerably high pace and generate substantial revenue in the study period.

The growing application of robotics as the need to link between digital and physical reality is rising to resolve different aspects is expected to underpin the expansion of the adaptive robot market growth across the assessment period. The penetration of adaptive robotics to boost manufacturing process can impel the expansion of the market across the review period. Multiple industries are deploying adaptive robotic solution to boost their operations and increase performance threshold. The rapid replacement of traditional robot solutions with adaptive robotics and increase in the utility of IoT enabled devices can support the expansion of the adaptive robot market through the review period. The high installation price and limited access to adaptive robotics can hinder the expansion of the market across the study period.

Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/7040

Key Players:

Google, Inc. (U.S), Robert Bosch GmbH (Germany), KUKA AG (Germany), Fanuc (Japan), Rethink Robotics (U.S), iRobot Corporation (U.S), Siléane (France), Huawei Technologies Co. Ltd. (China), Yaskawa Motoman (U.S), and Toyota Motor Corporation (Japan) are Some reputed dealers of adaptive robot solutions, enlisted by MRFR.

Segments:

The segment analysis of the global adaptive robot market is based on application, technology, computing location, and end-user. Segment study of the market aid in the assessment of growth aspects and current trends that aid investors make well-informed decisions to improve global status of their organization.

The technology based segmenst of the adaptive robot market are learning, perception, & speech recognition, vision & sensors, and mobility & navigation. The increase in the application of vision & sensors adaptive robots can support the expansion of the market through the assessment period.

The computing location based segments of the adaptive robot market are on-board and on-cloud. On cloud computing location for adaptive robots can improve the expansion of the market through the study period.

The application based segments of the adaptive robot market are logistics robot, consumer robot, industrial robot, and service robot. The growing demand for logistics robot can push the market to rise.

The end-user based segments are the adaptive robot market segments are education, food & beverage, aerospace, electronics, automotive, travel & transportation, healthcare, retail, BFSI, and entertainment.

Regional Analysis:

The rise in the applications of artificial intelligence can prompt the expansion of North America adaptive robot market across the study period. The increase in the utility of adaptive robot solutions in single-purpose machines and multi-purpose adaptive machines can also support the expansion of the regional market through the review period. The increase in coupling of technologies such as deep learning and mobility & navigation, speech recognition, vision & sensing, with adaptive robotics for industrial applications, such as; facility management, optimizing logistics process, packaging & assembling of parts, customer service & engagement, and inventory management can also prompt the expansion of the adaptive robot market. Europe offer high tech solutions can push the expansion of the regional market through the study period. The adaptive robot market in APAC is observed to boom due to the increase in the adoption of adaptive robot solutions across different growing sectors.

Get Complete Report @ https://www.marketresearchfuture.com/reports/adaptive-robot-market-7040

About Us:

Market Research Future (MRFR) is an esteemed company with a reputation of serving clients across domains of information technology (IT), healthcare, and chemicals. Our analysts undertake painstaking primary and secondary research to provide a seamless report with a 360 degree perspective. Data is compared against reputed organizations, trustworthy databases, and international surveys for producing impeccable reports backed with graphical and statistical information.

We at MRFR provide syndicated and customized reports to clients as per their liking. Our consulting services are aimed at eliminating business risks and driving the bottomline margins of our clients. The hands-on experience of analysts and capability of performing astute research through interviews, surveys, and polls are a statement of our prowess. We constantly monitor the market for any fluctuations and update our reports on a regular basis.

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#Adaptive Robot Market Demand Adaptive Robot Market Forecast

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machinemakerthings-blog · 6 years ago

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OMRON forms Strategic Alliance with Techman Robot

OMRON Corp. and Techman Robot Inc., the world’s leading company for collaborative arm robots that work together with people, announced that the two corporations have signed an agreement to form a strategic alliance in the area of collaborative robots. Through this alliance, OMRON will globally market and sell Techman’s TM series of collaborative robots via OMRON’s worldwide distribution network under a co-branded logo, starting in the second half of FY2018. Furthermore, OMRON and Techman will cooperate in developing the next generation of collaborative robots that will be easier to integrate with OMRON’s other factory automation products in order to realize an innovative manufacturing environment where humans and machines work in harmony.

Factories worldwide are facing major challenges in having to manufacture a high mix low volume of products to meet their customer demands and shorter product life cycles while dealing with labor shortage issues. Manufacturing companies must maintain flexibility in quick changeovers and production line layout changes. Collaborative robots that can work safely in the same environment with people have an important role in enabling this kind of “flexible manufacturing.”

In addition to the regular TM series of collaborative robots, OMRON will start selling the new models which are “mobile compatible,” meaning that they can be easily integrated with OMRON’s LD mobile robots. OMRON’s mobile robots, which can move autonomously by avoiding people and obstacles, already work safely with humans by automating material handling operations all over the world. Mounted with a collaborative robot arm on top, they can not only transport material from one location to another, but will also be able to perform tasks, such as the pick and place of parts onto trays, in each of the locations.

“Since the acquisition of Adept Technology in 2015, OMRON has been putting great resources in the development of the robotics technologies and market,” said Seigo Kinugawa, Executive Officer and Senior General Manager of the Robotics Business Development Project at OMRON’s Industrial Automation Company, adding, “The alliance with Techman is aimed to advance the collaboration between humans and robots in manufacturing environments. OMRON’s entry into the collaborative arm robot market, in addition to the mobile robot market, will accelerate OMRON’s “innovative-Automation!” initiative, the goal of which is to bring innovation to the factories through the collaboration of humans and machines.”

“TM robots are smart, simple to use and safe,” said Ho Shi-Chi, Chairman of Techman Robot Inc. “We endeavor to improve the life of humans based on innovation and our alliance with OMRON will help us move a big step toward that goal.”

The TM robots have the following features that stand out in this new field of human-robot collaboration.

Smart: The TM robots have a built-in intelligent vision system that can be used for pattern recognition, object positioning and barcode identification.

Simple: A complete pick and place application using vision can be taught in five minutes with its all-graphic, flow-based user interface, TMflow.

Safe: The TM robots comply with the safety requirements for collaboration of humans and robots as specified in ISO 10218-1 and ISO/TS 15066.

The TM robots include two series: TM5 (with a payload of up to 6kg) and the new TM12/TM14 (with a payload up to 14kg). All TM robots have six degrees of freedom and a reach range of 700mm to 1300mm. The robot’s repeatability is ±0.05mm for the TM5 series and ±0.1mm for the TM12/TM14 series.

About "innovative-Automation!"

As a leader in industrial automation, OMRON has extensive lines of control components and equipment, ranging from image-processing sensors and other input devices to various controllers and output devices such as servo motors, as well as a range of safety devices and industrial robots. By combining these devices via software, OMRON has developed a variety of unique and highly effective automation solutions for manufacturers worldwide. Based on its reservoir of advanced technologies and comprehensive range of devices, OMRON set forth a strategic concept called "innovative-Automation!" consisting of three innovations or "i's"--"integrated" (control evolution), "intelligent" (development of intelligence by ICT), and "interactive" (new harmonization between people and machines). OMRON is now committed to bringing innovation to manufacturing sites by materializing this concept.

OMRON and Techman will provide collaborative robots that can be used for a wide variety of applications such as electronics assembly, product testing and inspection. These robots will enable “flexible manufacturing” and increase the productivity and quality of production lines for customers in the automotive and electronic industries, as well as various material handling operations within a broad range of manufacturing industries.

About Us

THE MACHINE MAKER, an authentic magazine from the house of MART Info media Private Limited with 14 years of experience in Indian manufacturing sector, is all geared up to cover the growth of this new age manufacturing sector in India with special thrust on the makers who will make this happen. Read and Advertise with us to be part of this growth.

THE MACHINE MAKER

2nd floor Ariana, Bhumkar Chowk, Marunji Road, Wakad Pune-411057

Phone no: +91-788-780-0015

Email Id: [email protected]

ebsite: https://www.themachinemaker.com

#omron

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akashs123 · 4 years ago

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Adaptive Robot Market 2021 Consumption, Export, Import and Forecast 2023

Market Research Future published a research report on “Adaptive Robot Market Research Report - Global Forecast to 2023” – Market Analysis, Scope, Stake, Progress, Trends and Forecast to 2023.

Market Overview:

The growing application of robotics as the need to link between digital and physical reality is rising to resolve different aspects is expected to underpin the expansion of the Adaptive Robot Market growth across the assessment period. The penetration of adaptive robotics to boost manufacturing process can impel the expansion of the market across the review period. Multiple industries are deploying adaptive robotic solution to boost their operations and increase performance threshold. The rapid replacement of traditional robot solutions with adaptive robotics and increase in the utility of IoT enabled devices can support the expansion of the adaptive robot market through the review period. The high installation price and limited access to adaptive robotics can hinder the expansion of the market across the study period.

Get Free Sample Report @ https://www.marketresearchfuture.com/sample_request/7040

Key Players

Adaptive Robot Market – Segmentation

Global Adaptive Robot Market – Regional Analysis

Get Complete Report @ https://www.marketresearchfuture.com/reports/adaptive-robot-market-7040

About Us:

Media Contact:

Market Research Future

Office No. 528, Amanora Chambers

Magarpatta Road, Hadapsar,

Pune - 411028

Maharashtra, India

+1 646 845 9312

Email: [email protected]

#Adaptive Robot Market

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speedylightheart · 4 years ago

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Artificial Intelligence (AI) in Retail Market Report 2020 – Significant Trends and Factors 2025

Artificial Intelligence (AI) in Retail Market is valued at USD 658.2 Million in 2018 and expected to reach USD 5723.0 Million by 2025 with a CAGR of 36.2% over the forecast period.

Global Artificial Intelligence (AI) in Retail Market: Global Size, Trends, Competitive, Historical & Forecast Analysis, 2019-2025- The increasing need in retail enterprises to provide enhanced customer experience and maintain their inventory accuracy and also to improve productivity are the major factors driving the market growth.

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*The sample pages of this report is immediately accessible on-demand.**

Artificial Intelligence (AI) in Retail Market Top Players

Baidu

BloomReach

Cognitive Scale

Google

Inbenta Technologies

Intel

Interactions

Lexalytics

Microsoft

NEXT IT.

NVidia

Oracle

RetailNext

Salesforce.com. SAP

Sentient Technologies

Visenze

Caper

Scope of Global Artificial Intelligence (AI) in Retail Market Report–

Artificial Intelligence, or simply AI, is the title used to describe a machine’s ability to reproduce human intelligence. Actions like learning, logic, reasoning, perception, creativity, that were once considered unique to humans, is now being replicated by technology and used in every industry. It is the field developing computers and robots capable of parsing data contextually to provide requested information, supply analysis, or trigger events based on findings. Approaches like machine learning and neural networks, companies globally are investing in teaching machines to ‘think’ more like humans. AI technologies allow retailers to assemble, rework and standardize data, automatically enter it into spreadsheets, and transform it into logical visuals such as charts and graphs. In turn, this helps to build efficient business plans, reduces the time on report compilations, forecasts sales figures, set-up customer profiles, and understand customers’ shopping preferences.

Global artificial intelligence (AI) in retail market report is segmented on the basis of component, technology, application and region & country level. Based on component, global artificial intelligence (AI) in retail market is classified as solution and services. Based on technology, global artificial intelligence (AI) in retail market is classified as machine learning and deep learning, natural language processing, computer vision and others. Based upon application, global artificial intelligence (AI) in retail market is classified into automated merchandising, programming advertising, market forecasting, in store AI and location optimization, data science and other.

The regions covered in this Global Artificial Intelligence (AI) in Retail Marketreport are, North America, Europe, Asia-Pacific, Latin America, Middle East and Africa. On the basis of country level, the market of Global Artificial Intelligence (AI) in Retail Market Software is sub divided into U.S., Mexico, Canada, U.K., France, Germany, Italy, China, Japan, India, South East Asia, Middle East Asia (UAE, Saudi Arabia, Egypt) GCC, Africa, etc.

Some major key players for global Artificial Intelligence (AI) in Retail Market are AWS, Baidu, BloomReach, Cognitive Scale, Google, Inbenta Technologies, Intel, Interactions, Lexalytics, Microsoft, NEXT IT., NVidia, Oracle, RetailNext, Salesforce.com. SAP, Sentient Technologies, Visenze, Caper and others.

Market Dynamics –

The increasing need in retail enterprises to provide enhanced customer experience and maintain their inventory accuracy and also to improve productivity are the major factors driving the market growth. Growing adoption of AI technology between retailers for multi-channel marketing can be viewed as a trend in the market. Increasing adoption of computer vision-based cameras and robots to track & manage store inventories are also supplementing the market growth. Retailers are leveraging computer vision for several in-store applications to compete with other players. Computer vision is gaining popularity among offline retailers for shelf scanning, facial recognition, and footfall traffic & interactions analysis. The large volume of data generated on the basis of in-store consumer behavior, e-mail marketing, and campaign management, when analyzed, helps to identify consumption patterns and develop personalized campaigns, thus facilitating better decision making.

However, It’s hard to conceptualize that a computer could be wrong but it may happen because of wrong Algorithms and mathematically or imitatively they might always be “right” but humans encompass much more than simply formulas and statistics. Humans being are unique and have many varieties of tastes and preferences that cannot be dumbed down to a formula. The immense thing that makes us human is the fact that we are constantly changing and growing, and there are always outliers. These are some tools that act as the barrier for the growth of the global artificial intelligence (AI) in retail market.

Moreover, the growing execution of AI-based chatbots is one of the growth opportunities for the players operating in the market. AI-based chabot technology is widely being integrated by retail companies into their work processes. The growing number of shopping channels, such as websites, physical retail stores, and mobile applications, have compelled retailers to employ AI technologies across these platforms to capture a larger customer base. This increased use of AI to monitor and analyze data is, revolutionizing the retail industry, globally.

Regional Analysis–

The global artificial intelligence (AI) in retail market Software Market is segmented into North America, Europe, Asia-Pacific, Latin America and Africa. North America is expected to dominate the global artificial intelligence (AI) in retail market with the largest market share mainly because of the presence of several developed economies, such as the United States and Canada, focusing on strengthening the existing solutions in the retail space. North America hosts the primary AI solution providers and is an early adopter of AI technology. Many retailers in this region have established AI-based solutions to optimize their supply chain operations and inventory. AI is serving the retailers in managing and maintaining their customers and understanding the buying patterns of the consumers. To attract customers and enhance sales turnover, AI technologies are being adopted by both online and offline retail businesses in this region.

Key Benefits for Market Report–

Global Artificial Intelligence (AI) in Retail Market report covers in-depth historical and forecast analysis.

Global Artificial Intelligence (AI) in Retail Market research report provides detail information about Market Introduction, Market Summary, Global market Revenue (Revenue USD), Market Drivers, Market Restraints, Market Opportunities, Competitive Analysis, Regional and Country Level.

Global Artificial Intelligence (AI) in Retail Market report helps to identify opportunities in marketplace.

Global Artificial Intelligence (AI) in Retail Market report covers extensive analysis of emerging trends and competitive landscape.

Artificial Intelligence (AI) in Retail Market Segmentation:

By Component:- Solution, Chatbot, Customer Behavior Tracking, CRM, Inventory Management, Price Optimization, Recommendation Engine, (Supply Chain Management, Visual Search, Others), Service, Professional Service, Managed Service

By Technology: Machine Learning and Deep learning, Natural Language Processing, Computer Vision, Others

By Application: Automated Merchandising, Programming Advertising, Market Forecasting, In store AI and Location Optimization, Data Science, Other

By Regional & Country Analysis

North America, US, Mexico, Chily, Canada, Europe, UK, France, Germany, Italy, Asia Pacific, China, South Korea, Japan, India, Southeast Asia, Latin America, Brazil, The Middle East and Africa, GCC, Africa, Rest of Middle East and Africa

About Us:

Brandessence Market Research and Consulting Pvt. ltd.

Brandessence market research publishes market research reports & business insights produced by highly qualified and experienced industry analysts. Our research reports are available in a wide range of industry verticals including aviation, food & beverage, healthcare, ICT, Construction, Chemicals and lot more. Brand Essence Market Research report will be best fit for senior executives, business development managers, marketing managers, consultants, CEOs, CIOs, COOs, and Directors, governments, agencies, organizations and Ph.D. Students. We have a delivery center in Pune, India and our sales office is in London.

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blogtechfuturemrfrworld · 4 years ago

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Electrical & Electronic Computer-Aided Design Market 2020 Research, Share, Size, Growth, Competitor Strategy and Trends by Forecast to 2026

Electrical computer-aided design (ECAD) comprises electrical and electronic CAD solutions. It is a software for creating and modifying both layouts and diagrams and layouts of electrical circuits such as printed circuit boards (PCB), integrated circuits (ICs), and cabling systems. ECAD software help engineers to create electrical schematic designs and systems seamlessly and at a rapid pace as compared to traditional, by-hand methods with higher accuracy and precision. This software is widely used to automate tasks such as filling out components lists and bills of materials (BoM). ECAD is used for various purposes such as diagramming, 3D assembly, concurrent designing, and generating manufacturing documentation.

Global Electrical Computer-Aided Design (ECAD) Market is highly competitive, with the presence of several vendors offering feature-rich and innovative solutions to their customers. The major vendors profiled in the study are Autodesk, Inc., ANSYS Inc., EPLAN Software & Service GmbH & Co. KG, Bentley Systems, Inc., Siemens PLM, Trimble Inc., Dassault Systèmes SE, Zuken, AUCOTEC, Mentor Graphics, WSCAD, IGE+XAO, ALPI International Software, and SIENNA ECAD Technologies.

Get Free Sample Copy Report of Electrical & Electronic Computer-Aided Design Market @ https://www.marketresearchfuture.com/sample_request/10306

Regional Analysis

The geographic analysis of the Global ECAD Market has been conducted for North America, Europe, Asia-Pacific, the Middle East & Africa, and South America.

North America is expected to be the largest market for ECAD solutions during the forecast period. North America has been segmented into three countries, namely the US, Canada, and Mexico.

The US is the leading market in North America, accounting for a significant market share. The electrical computer-aided design (ECAD) market in the US is expected to grow significantly, owing to the presence of major players. The market growth in the country can be attributed to the increasing urbanization, advances in digital technology, higher disposable incomes, and the high demand for advanced manufacturing robotic technologies. In addition to it, favorable government policies to help factory automation are contributing to the growth of the global market. Adding to it, the market growth is driven by the increased demand for intelligent and automated manufacturing systems and the rising focus on digitization of oil fields to adopt industry 4.0.

Europe is projected to hold the second spot (in terms of market share) in the overall market during the forecast period. Europe is segmented into the UK, Germany, France, and the rest of Europe. The market growth is attributed mainly to advancements in cloud-based ECAD tools and services. The main factors contributing to the growth of the electronic computer-aided design (ECAD) market in Europe are the low cost of adoption and greater storage capabilities of cloud-based solutions and services. The collaboration of major players with small start-ups for the development of computer-aided design tools is boosting the market growth.

The market in the Asia-Pacific region is expected to register the highest CAGR during the forecast period. The market growth is attributable to the need for on-the-go graphic designing via mobile apps for smart factories and industrial manufacturing. Moreover, the automotive markets in South Korea, Japan, and China are growing rapidly and contribute nearly 30% of the overall market. The rising development of electric vehicles and their testing has also resulted in the growth of the electrical computer-aided design (ECAD) market.

In the Middle East & Africa, the country of Saudi Arabia holds the major oil fields, and the industry is increasingly adopting industrial automation equipment. The country offers opportunities for the metal, mining, and material industries to increase their production and efficiency. The demand for ECAD software is also driven by the high cost of labor, encouraging the companies to adopt industrial automation.

The South American region is witnessing an increase in investments and government initiatives to support advances in technology. In this regard, the developments in the manufacturing and industrial sectors in the region are anticipated to be the key driver for the ECAD market during the forecast period. Brazil is an emerging economy in South America. The growth of the ECAD market in Brazil is attributed to the developments in machine learning and computer vision technologies for manufacturing processes. Brazil exhibits a strong demand for software for mining, drilling automation, and oil extraction applications.

Browse Full Report Details @ https://www.marketresearchfuture.com/reports/electrical-electronic-computer-aided-design-market-10306

About Market Research Future:

At Market Research Future (MRFR), we enable our customers to unravel the complexity of various industries through our Cooked Research Report (CRR), Half-Cooked Research Reports (HCRR), Raw Research Reports (3R), Continuous-Feed Research (CFR), and Market Research & Consulting Edibles. MRFR team have supreme objective to provide the optimum quality market research and intelligence services to our clients. Our market research studies by products, services, technologies, applications, end users, and market players for global, regional, and country level market segments, enable our clients to see more, know more, and do more, which help to answer all their most important questions. In order to stay updated with technology and work process of the industry, MRFR often plans & conducts meet with the industry experts and industrial visits for its research analyst members.

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visimaster · 2 months ago

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O Ring Assembly Machine

If you're in the market for an O Ring Assembly Machine, Visimaster provides an excellent product that was developed by knowledgeable engineers from all around the world. Contact us at any time you require a particular kind of machine, and we will arrange for its delivery to your location. Our goal in coming here is to provide our customers, particularly those in Pune and throughout India, with better service.

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techfuturemrfr · 4 years ago

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Digital Inspection Market Competitive Strategy Analysis

The Global Digital Inspection Market is Projected to Register CAGR of 9% by 2023

According to Market Research Future (MRFR), the global digital inspection market is projected to reach an approximate market value of USD 26 billion, with a CAGR of 9% from 2018 to 2023 (forecast period). The report takes into account the effect of the COVID-19 pandemic on the global digital inspection market and provides a concise estimation of the potential volatility of demand during the forecast period.

Digital Inspection allows engineers to test, measure, and conduct inspections of any electronic equipment or automation tool using devices that are digitally connected to a laptop or tablet to store and record results electronically. Previously, organizations used paper-based inspection systems. Multiple inspections were reported on a paper in various formats, which were time-consuming with low accuracy and performance. Nonetheless, with the introduction of digital inspection solutions, organizations can resolve the problems posed by paper-based inspection systems.

Digital inspection solutions provide non-destructive testing solutions and technologies such as x-rays, computed tomography, and remote visual inspection. Various digital inspection devices are available on the market, like Video Borescope, USB Digital Microscope, App-based Ultrasonic Flaw Detectors, Digital Multimeters, Digital Testers, and Digital Calipers. Modern-day digital inspection solutions are used for corrosion evaluation of pipelines in the oil & gas sector, inspection of aircraft engines in the aviation industry, and visual inspection of equipment in the food & beverage industry.

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Market Dynamics

The market for digital inspection is expected to grow substantially during the forecast period attributed to the rising demand for storing and recording the test results in industries such as automotive, oil & gas, aviation, food & beverages, and electrical & electronics equipment industry. The need for accurate inspection of 3D data and a strong emphasis on quality control ultimately lead to the adoption of Metrology, which is a crucial factor driving the growth of the digital inspection market. Digital inspection of electrical components such as fuses, solenoids, electrical and electronic assemblies is also a major driver of the digital inspection industry’s growth.

Digital inspection tools are also being used in the real estate sector to carry out property assessments, including building inspection, home inspection, windstorm inspection and energy audits, which also stimulate the development of the global digital inspection market. Other industries that implement digital inspection solutions include healthcare, military, government, fire response, security service providers, transport, engineering, and mechanics.

In addition, digital inspection allows quicker response time inspection, quick generation of reports, significant cost savings, and addresses the issues in the paper-based inspection system. Replacing the pen and paper inspection with a digital inspection will increase operational efficiency.

Market Segmentation

The global market for digital inspection has been segmented into technology, solution, dimension, and application.

Based on technology, the global market for digital inspection has been segmented into machine vision, metrology, Non-Destructive Testing (NDT).

Based on the solution, the global market for digital inspection has been segmented into hardware and software. Hardware-based digital inspection equipment includes Video Borescope, USB Digital Microscope, and digital multi-meters. Whereas, the software-based digital inspection system includes Qwerks, Action Card, HomeInspect, and Horizon Inspection software.

Based on the dimension, the global market for digital inspection has been segmented into 2D and 3D.

Based on application, the global market for digital inspection has been segmented into manufacturing, electronics and semiconductor, oil & gas, aerospace and defense, automotive, energy and power, food & beverages, public infrastructure, and others.

Regional Analysis

The regional analysis of the digital inspection market is carried out for North America, Europe, Asia Pacific, and the Rest of the World.

North America highly dominates the market due to the involvement of major players in sectors such as automotive, aerospace & defense, public infrastructure, and energy and power in the U.S.

Growth in automation in almost all industry verticals generates high demand for digital inspection systems in the Asia Pacific region. Countries like China, Japan, and India are committed to investing in automation to improve their company profits and be part of the digital transformation wave.

The European region is an evolving hub for the manufacturing, automotive, and energy & power industries, with a strong emphasis on digital inspection solutions.

Key players

Some of the key participants identified by the MRFR in digital inspection market include General Electric (U.S.), MISTRAS Group (U.S.), Olympus (Japan), Hexagon (Sweden), Cognex (US), Nikon (Japan), Zetec (US), FARO Technologies (U.S.), Basler (Germany), OMRON (Japan), Carl Zeiss (Germany), Mitutoyo (Japan), GOM (Germany), National Instruments (US), Keyence (Japan).

Other players include iPromar (Singapore), FPrimeC Solutions (Canada), Shinning 3D Tech (China), Zebicon (Denmark), and SUALAB (South Korea).

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newdat1 · 5 years ago

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Data Science With Machine Learning

Today, technology has given beginning to AI machines that have made our pursuit even easier. You may have experienced the wonders of AI while using social media sites, such as Google and Facebook. Many of these sites use the intensity of machine learning. In this article, we are going to dialogue roughly the kin between information adeptness and machine learning. Read on.

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teamplushr13 · 6 years ago

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Virtual Staffing Services In Pune

Recruiting and Managing Creative Talent to Inspire Innovation

Technology and organizational strategies today are bound together in a world striving for performance improvement. It’s hard to dispute that every company has, in a sense, become a technology company. The digital world drives the material world to a tremendous extent these days. It’s a trend that shows no signs of slowing.

As economist Thomas Pinketty predicts in his groundbreaking work Capital in the Twenty-First Century, much of the economic growth we can expect to see between this year and 2025 will flow from advances in computing, artificial intelligence, data and robotics. Despite the positive impacts these developments could make, financially and functionally, there remain reasonable skeptics who have concerns about the income inequality and vocational losses this sort of mechanized society might create. They offer dire scenarios in which robots replace all human labor -- the only monetary gains going to those who own, manufacture or control the machines.

MIT Professor Zeynep Ton explains in The Good Jobs Strategy that these examples fail to paint a broader, more realistic picture. Even the most powerful systems require human input and judgment; a purely technological approach to work and civilization would eventually collapse. The relevance and importance of the human element can’t be ignored. Artificial intelligence (AI) can’t exist and grow without the context of the human experience to inform it. Cognitive scientists refer to this discrepancy as the availability bias: people tend to place greater emphasis on information that’s easy to come by, such as data on a spreadsheet, rather than intangibles like the realities involved in the everyday interactions and operations of a business.

So as we scramble to keep pace with technology and narrow our educational focus on STEM skills, we’re neglecting the very important role that creativity plays in the process.

Creativity -- The Ghost in the Machine

It’s easy to succumb to the notion that scientists are stuffy, smock-wearing, bespectacled people who are obsessed with numbers and formulas. Yet without a creative impulse, imagination, vision and an understanding of society, it’s hard to believe that any real scientific accomplishments would have arisen. Science requires creativity for continued innovation. No invention was envisioned without curiosity and ambition: the dreamer gazing at the stars in wonder, the biologist fighting virtual staffing services in pune to cure a terrible disease, the electrical engineer helping to overcome obstacles in the way of communications, and other pioneers motivated by a need to improve our quality of life.

This sentiment is articulately echoed by astrophysicists such as Neil deGrasse Tyson and Adam Frank. Both men of science not only acknowledge the necessity of the humanities, they embrace liberal arts as a crucial backbone to scientific achievement. In a recent piece for NPR, Frank advocated for the value of the arts in academia: “In spite of being a scientist, I strongly believe an education that fails to place a heavy emphasis on the humanities is a missed opportunity. Without a base in humanities, both the students -- and the democratic society these students must enter as informed citizens -- are denied a full view of the heritage and critical habits of mind that make civilization worth the effort.”

Frank provides a solid reason for his conclusion: “The old barriers between the humanities and technology are falling. Historians now use big-data techniques to ask their human-centered questions. Engineers use the same methods -- but with an emphasis on human interfaces -- to answer their own technology-oriented questions.”

In the future, computers will probably assume a greater share of the work duties currently tasked to human talent, including programming and data analysis. We can’t presume that automation won’t replace or commoditize certain skill sets. Realistically, however, there’s a limit to what machines will be able to do. As Rally Health’s Tom Perrault observes in a recent Harvard Business Review article, “What can’t be replaced in any organization imaginable in the future is precisely what seems overlooked today: liberal arts skills, such as creativity, empathy, listening, and vision. These skills, not digital or technological ones, will hold the keys to a company’s future success. And yet companies aren’t hiring for them. This is a problem for today’s digital companies, and it’s only going to get worse.”

Technology and Creativity Play Well Together

Creative talent enjoy taking risks. They see these gambles as necessary systems of trial and error that lead to true innovation. Just like the world’s most renowned scientists, creative talent operate empirically. Missteps and failures don’t deter them -- they instruct them.

Not only do creative professionals take risks, they refuse to quit in the face of shortcomings, defects or even rebuke from colleagues, managers or others in their communities. They are inherently optimistic and see risks as opportunities. Henry Ford’s first vehicle, a motorized four-wheeled bike of sorts, failed. Miserably. Instead of throwing in the towel, he learned from the mistake and went on to pioneer the Model T. While working for the Kansas City Star, Walt Disney was told by his editor that he lacked imagination and marketable ideas. Obviously, that harsh critique did little to stifle Mr. Disney’s formidable future achievements -- all symbols of imagination and clever marketing.

Of course, the interesting corollary to these examples is how both creative geniuses promoted technology, instead of working against it. Ford radically shifted methods of transit and work. He absolutely threatened the horse-and-buggy industry, yet his company created countless more jobs virtual staffing services in pune around the world. Ford also renovated the nature of labor with assembly line processes that delivered inexpensive goods to consumers while supporting high wages for workers.

Walt Disney is a grandfather of realistic audio animatronics. You can’t visit a Disney attraction and not marvel at the robotic characters at the heart of the rides. Yet, the magic of a Disney theme park isn’t all technology -- it’s the exceptional customer service and interaction provided by live talent. The same rings true for Disney and Pixar films. The leaps and bounds in computer animation technology never surpass the humanity of the stories, which comes from writers, artists and voice actors.

Hiring Creative Talent

Given the current employment situation, the fierce competition to secure skilled talent makes perfect sense. Yet the creative, intrapreneurial mavericks should not be omitted in the search. Creative workers can be the best hires for companies that are truly in motion, tolerant of change, serious about stirring the pot to innovate, and creating new environments that require a degree of risk and uncertainty. The creativity, drive and exploratory nature of these individuals help businesses discover and capitalize on new opportunities, break free from outdated and ineffective models, pioneer unique solutions, and avoid stagnation. They have the potential to be prized assets for a growing or rebranding company.

Sourcing creative talent is itself a creative process. Elite staffing professionals excel at matching the right talent to the right business culture, often deploying unconventional recruiting and screening processes. This is the job of staffing professionals -- one they consistently perform and refine. The best way hiring organizations, MSPs and their staffing suppliers can achieve client goals together is to focus on fit.

MSPs, when tasked with managing a program concentrated on change and innovation, should spend a greater amount of time during discovery and voice of the customer meetings to get a clear picture of the client’s existing culture, its ability to loosen structures and policies, and its comfort level with creative talent who may operate outside traditional team structures or approval processes.

MSPs and their staffing partners must spend extra time communicating about the realistic nature of the client’s culture and flexibility.

Staffing professionals, combining this information with their expertise in sourcing creative talent, virtual staffing services in pune can more easily assess the best fits between hiring managers and maverick innovators.

The MSP, after coordinating with its staffing partners on submitted candidates, must also be willing to champion these selections to hiring managers, making cases for non-traditional yet innovative talent whose pros outweigh perceived cons.

If there’s a theme for the direction of business in this century, it’s punctuated by a recurring buzzword: innovation. In its assessment of 2014 business trends, Forbes discussed how the lack of cultural change has suffocated growth. The old ways of doing things were discounted as “roadblocks to process improvements,” with “true breakthrough thinking” and recruiting “more progressive candidates” as the remedies.

Then, toward the end of the piece, Forbes put all its cards on the table and exposed the challenges openly. “Some companies are indulging in new processes for creative innovation, birthing some big ideas that could open new markets,” the magazine declared. “Many CEOs openly extol innovation… Yet, very few really embrace it, acting on the most relevant ideas to truly advance their company. Change is nerve-wracking, but promising new ideas, tested in advance, can work wonders for almost any business.”

Machines and data can produce some wonderful things. Coming up with the next big idea that will lead to new iterations of these technologies -- that's best left to the dreamers, the philosophers, the artists and the creative minds behind the science.

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#virtual staffing services in pune

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djgblogger-blog · 7 years ago

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October 2017 fundings, acquisitions and IPOs

http://bit.ly/2ioEl3I

Twenty-eight different startups were funded in October cumulatively raising $862 million, up from $507 million in September. Three of the top four fundings were for startups involved in the self-driving process. An additional five lower-amount startups were also funded for self-driving applications or components along with two of the six acquisitions.

Six acquisitions were reported during the month including Delphi Automotive’s buying nuTonomy for $450 million and Boeing’s acquisition of 550-employee Aurora Flight Sciences.

On the IPO front, Altair Engineering raised $156 million and Restoration Robotics raised $25 million when both went live on the NASDAQ stock exchange this month.

Fundings

Mapbox, a Washington, DC and San Francisco provider of nav systems for car companies and others involved in autonomous vehicles, raised $164 million in a Series C round led by the SoftBank Vision Fund, with participation from existing investors including Foundry Group, DFJ Growth, DBL Partners, and Thrive Capital. “Location data is central and mission critical to the development of the world’s most exciting technologies,” said Rajeev Misra, who helps oversee SoftBank’s Vision Fund.

Element AI, a Canadian startup providing learning platform solutions for self-driving and advanced manufacturing, raised $135 CAD million (around $105 million) in a Series A round (in June) led by Data Collective, a SV-based venture capital firm, and included participation by Fidelity Investments Canada, National Bank of Canada, Intel Capital, and Real Ventures.

Ninebot, the Chinese consumer products company that bought out Segway and raised $80 million in 2015, raised another $100 million in a Series C round from the SDIC Fund Management Co. and the China Mobile Fund.

Horizon Robotics, another Chinese startup, raised $100 million in a Series A round led by Intel Capital with participation by Wu Capital, Morningside Venture Capital, Linear Venture, Hillhouse Capital and Harvest Investments. Horizon is developing self-driving vehicle autopilot and self-navigating consumer and neural network chips. Wendell Brooks, Intel SVP and President of Intel Capital which invested in Horizon said, “By 2020, every autonomous vehicle on the road will create 4 TB of data per day. A million self-driving cars will create the same amount of data every day as 3 billion people. As Intel transitions to a data company, Intel Capital is actively investing in startups across the technology spectrum that can help expand the data ecosystem and pathfind important new technologies.”

Innoviz Technologies, an Israel-based developer of LiDAR sensing technology for autonomous vehicles, raised $73 million in Series B funding. Investors include Samsung Catalyst and SoftBank Ventures Korea.

Zume Pizza, the Silicon Valley robotic pizza making startup, raised $48 million in a Series B funding. Investors in the round were not detailed. Zume is already delivering pizzas in Silicon Valley. It uses an assembly line of robots to flatten dough into circles, spread sauce and cheese, and slide the pies into and out of an 800 degree oven. Pizzas finish cooking in ovens inside delivery trucks.

Momenta AI, a Beijing autonomous driving tech startup using machine vision (rather than LiDAR), raised $46 in a Series B round led by NIO Capital, Sequoia Capital China, Hillhouse Capital and Cathay Innovation Fund.

Wonder Workshop, previously named Play-i, a Silicon Valley and Chinese educational robot startup, raised $41 million in a Series C round from a series of investors including Tencent, TAL Education Group, MindWorks Ventures, Madrona Venture Group, Softbank Korea, VTRON Group, TCL Capital, Sinovation Ventures, Bright Success, WI Harper, and CRV. Wonder Workshop’s Dot and Dash robots are in use by thousands of student groups and schools around the world. “We founded Wonder Workshop to provide all children — girls and boys of all ages — with the skills needed to succeed in the future economy. This round of financing will allow us to continue on our mission to inspire the inventors of tomorrow,” said Vikas Gupta, CEO.

FogHorn Systems, a Silicon Valley smart manufacturing software startup, raised $30 million in a Series B round led by Intel Capital and Saudi Aramco Energy Ventures with new investor Honeywell Ventures and all previous investors participating, including Series A investors March Capital Partners, GE, Dell Technologies Capital, Robert Bosch Venture Capital, Yokogawa Electric Corporation, Darling Ventures and seed investor The Hive.

Nanotronic Imaging, an Ohio testing solutions provider, raised $30 million in a Series D funding led by Investment Corp of Dubai and Peter Thiel’s Founders Fund.

Wandercraft, a French rehabilitation exoskeleton startup, raised $17.8 million in a Series B round from XAnge, Innovation Capital, Idinvest Partners, Cemag Invest and BPIFrance.

Ever AI, a San Francisco startup developing facial recognition, announced that they had raised $16 million in a Series B funding led by Icon Ventures with participation from Felicis Ventures and Khosla Ventures. On the same day SoftBank announced their intention to use Ever AI’s facial recognition platform as a new feature for their Pepper robot.

Built Robotics, a San Francisco startup developing a self-driving kit for construction equipment – a self-driving excavator – raised $15 million in a Series A round led by NEA (New Enterprise Associates) with participation by Founders Fund, Lemnos and angel investors including Eric Stromberg, Maria Thomas, Carl Bass, Edward Lando and Justin Kan.

Veo Robotics, a Cambridge, MA-based vision systems startup, raised $12 million in a Series A funding. Lux Capital and GV led the round, and were joined by unnamed investors including Next47.

Riverfield Surgical Robot Lab, a Japanese startup, raised $10 million in a Series B round led by Toray Engineering and included SBI Investment, Jafco and Beyond Next Ventures.

Beijing Beehive Agriculture Technology Co. raised $9.4 million in an A funding round led by Tendence Capital and other unnamed sources. The funding marks the company’s second financing round after it raised around $5 million from e-commerce giant JD.com Inc. and others in its pre-A funding.

Titan Medical, a Canadian robotic single-port surgery device developer, raised $9.1 million: $2.6 million by floating 13.4 million common shares in a private placement to more than a dozen robotic surgeons in the US and Canada and an additional $6.5 million from the early exercise of purchase warrants for 42.6 million common shares.

Robart, an Austria-based developer of AI and navigation intelligence for autonomous consumer robots, raised $7.2 million in a Series B funding. CM-CIC Innovation led the round, and was joined by Innovacom, Robert Bosch Venture Capital and SEB Alliance.

Nileworks, a Japanese drone crop spraying startup, raised $7.1 million from a group of Japanese investors including public-private partnership the Innovation Network Corporation of Japan, agricultural chemical maker Kumiai Chemical Industry Co., Sumitomo Corporation and its subsidiary Sumitomo Chemical Co., the Japanese National Federation of Agricultural Co-operative Associations, and The Norinchukin Bank. When the product goes on sale in 2019 the company will target rice farmers in Japan.

Impossible Objects, an Illinois provider of 3D printing tech, raised $6.4 million in a Series A funding led by OCA Ventures and joined by IDEA Fund Partners, Mason Avenue Investments, Huizenga Capital Management and Inflection Equity Partners.

AeroFarms, the indoor vertical farming startup which raised $34 million reported earlier this year, rounded out their $40 million Series D funding with $6 million from Ikea Group and chef David Chang of the Momofuku Group. AeroFarms just built its 9th indoor farm in Newark, NJ.

Blickfeld, a Munich-based LiDAR maker for autonomous driving, raised $4.25 million in seed funding. Investors include Unternehmertum Venture Capital Partners, High-Tech Gruenderfonds, Fluxunit – OSRAM Ventures and Tengelmann Ventures.

Realtime Robotics, a Boston motion planning and control startup, raised $2 million in seed funding from SPARX Group, Scrum Ventures, and Toyota AI Ventures.

Vitae Industries, a Rhode Island pharma dispensing robot maker, raised $1.8 million in seed funding from Lerer Hippeau Ventures and Slater Technology Fund. Other investors in the round included Techstars, BoxGroup, Compound and Founder Collective.

Acutronic Robotics, a Swiss startup that last year acquired Spanish component maker Erle Robotics, raised an undisclosed amount from Sony in a Series A funding round. Sony will also adopt Acutronic’s Hardware Robot Operating System (H-ROS), for use in its own robotics division. Sony’s strategic use of the H-ROS platform in its own operations, and DARPA’s prior investment, suggest there’s a lot of interest in H-ROS for unifying legacy robotic systems from old-line robot providers.

Bharati Robotic Systems, a Pune, India-based industrial robotic cleaning startup, raised an undisclosed amount of funding from its existing investors – Society For Innovation and Entrepreneurship (SINE, IITB Incubator), and other angel investors.

IUVO, an Italian exoskeleton and wearable prosthetics spin-off from the Scuola Superiore Sant’Anna, has received a joint investment from robot manufacturer Comau and Össur, a global provider of non-invasive orthopedics. No financial amounts were provided however Comau and Össur will now hold a majority share of IUVO. “This joint venture represents a key step toward the creation of wearable robotic exoskeletons that can enhance human mobility and quality of life,” emphasized Mauro Fenzi, CEO of Comau. “By uniting the know-how and enabling technologies of the various partners, we are in a unique position to extend the use of robotics beyond manufacturing and toward a truly progressive global reality. I believe the differentiating factor of a project like IUVO is the combination of Comau’s automation skills and Össur’s extensive experience in bionics and bracing to enable the production of products, such as the exoskeletons, and to be able to demonstrate the benefits of robotics”.

Ultimaker, a manufacturer of professional desktop 3D printers and employer of over 300, raised an undisclosed amount from NPM Capital, a Benelux investment company.

Acquisitions

Delphi Automotive, a UK Tier 1 automotive supplier, acquired nuTonomy, a Boston self-driving ride sharing startup, for $450 million. nuTonomy, a spin-off from MIT and Singapore and with funding from Ford, has grown to 100 employees including 70 engineers and scientists. The acquisition will double Delphi’s autonomous driving applications team.

HTI Cybernetics, a Michigan industrial robotics integrator and contract manufacturer, has been acquired by Chongqing Nanshang Investment Group for around $50 million. HTI provides robotic welding systems to the auto industry and also has a contract welding services facility in Mexico.

Ridecell, a San Francisco mobility platform provider of car sharing, ride sharing and autonomous vehicles software, has acquired Auro Robotics, a Silicon Valley self-driving vehicle startup with shuttles operating on the Santa Clara University campus, for an undisclosed amount but which TheInformation estimates to be around $20 million.

Applied Automation, a UK components manufacturer of automation and control equipment, is changing and upgrading their status to include becoming an integrator of industrial and collaborative robots and, through the acquisition of PTG Precision Engineers, has gained talented engineering manpower to augment their sales/integration efforts. PTG is located across the street from Applied. No financial details about the acquisition were provided by either party.

General Motors acquired Pasadena-based Strobe, a vision systems startup developing an optical micro-oscillator for LiDAR timing, navigation and sensing applications, for an undisclosed amount. Strobe will join the Cruise Automation self-driving group.

Boeing is acquiring Aurora Flight Sciences, a 550 employee Virginia-based UAS provider, for an undisclosed amount. “Since its inception, Aurora has been focused on the development of innovative aircraft that leverage autonomy to make aircraft smarter,” said John Langford, Aurora Flight Sciences founder and chief executive officer. “As an integral part of Boeing, our pioneered technologies of long-endurance aircraft, robotic co-pilots, and autonomous electric VTOLs will be transitioned into world-class products for the global infrastructure.”

IPOs

Restoration Robotics, a San Jose, Calif.-based company focused on robotics that assist doctors in hair transplant procedures, raised $25 million in an upsized offering of 3.6 million shares priced at $7. In 2016, the company posted revenue of $15.6 million and a loss of $21.8 million. HAIR is now listed on the NASDAQ stock exchange.

Altair Engineering, a Troy, Mich.-based engineering software maker, raised $156 million in an IPO of 12 million shares at $13. The stock (ALTR) is now trading on Nasdaq. Altair develops simulation and design software for industrial applications, automobiles, consumer goods and all types of robotics.

Nilfisk Holdings, a Danish manufacturer of industrial cleaning machines including a new line of autonomous cleaners, was spun off from NKT A/S, a Danish conglomerate, and went public on the NASDAQ Copenhagen exchange as NLFSK. Financial details were not disclosed.

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livehealthmedia · 8 years ago

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A digital revolution in health care is speeding up

Telemedicine, predictive diagnostics, wearable sensors and a host of new apps will transform how people manage their health

WHEN someone goes into cardiac arrest, survival depends on how quickly the heart can be restarted. Enter Amazon’s Echo, a voice-driven computer that answers to the name of Alexa, which can recite life-saving instructions about cardiopulmonary resuscitation, a skill taught to it by the American Heart Association. Alexa is accumulating other health-care skills, too, including acting as a companion for the elderly and answering questions about children’s illnesses. In the near future she will probably help doctors with grubby hands to take notes and to request scans, as well as remind patients to take their pills.

Alexa is one manifestation of a drive to disrupt an industry that has so far largely failed to deliver on the potential of digital information. Health care is over-regulated and expensive to innovate in, and has a history of failing to implement ambitious IT projects. But the momentum towards a digital future is gathering pace. Investment into digital health care has soared (see chart).

One reason for that is the scale of potential cost-savings. Last year Americans spent an amount equivalent to about 18% of GDP on health care. That is an extreme, but other countries face rising cost pressures from health spending as populations age. Much of this expenditure is inefficient. Spending on administration varies sevenfold between rich countries. There are huge differences in the cost of medical procedures. In rich countries about one-fifth of spending on health care goes to waste, for example on wrong or unnecessary treatments. Eliminating a fraction of this sum is a huge opportunity.

Consumers seem readier to accept digital products than just a few years ago. The field includes mobile apps, telemedicine—health care provided using electronic communications—and predictive analytics (using statistical methods to sift data on outcomes for patients). Other areas are automated diagnoses and wearable sensors to measure things like blood pressure.

If there is to be a health-care revolution, it will create winners and losers. Andy Richards, an investor in digital health, argues that three groups are fighting a war for control of the “health-care value chain”.

One group comprises “traditional innovators”—pharmaceutical firms, hospitals and medical-technology companies such as GE Healthcare, Siemens, Medtronic and Philips. A second category is made up of “incumbent players”, which include health insurers, pharmacy-benefit managers (which buy drugs in bulk), and as single-payer health-care systems such as Britain’s NHS. The third group are the technology “insurgents”, including Google, Apple, Amazon and a host of hungry entrepreneurs that are creating apps, predictive-diagnostics systems and new devices. These firms may well profit most handsomely from the shift to digital.

The threat to the traditional innovators is that as medical records are digitised and new kinds of patient data arrive from genomic sequencing, sensors and even from social media, insurers and governments can get much better insight into which treatments work. These buyers are increasingly demanding “value-based” reimbursement—meaning that if a drug or device doesn’t function well, it will not be bought.

The big question is whether drug companies will be big losers, says Marc Sluijs, an adviser on investment in digital health. More data will not only identify those drugs that do not work. Digital health care will also give rise to new services that might involve taking no drugs at all.

Lunches eaten

Diabetes is an obvious problem for the pharma business in this regard, says Dan Mahony, a partner at Polar Capital, an investment firm. Since evidence shows that exercise gives diabetics better control of their disease (and helps most pre-diabetics not to get sick at all), there is an opening for new services. UnitedHealthcare, a big American insurer, for example, has a prevention programme that connects pre-diabetics with special coaches at gyms.

An app or a wearable device that persuades people to walk a certain distance every day would be far cheaper for insurers and governments to provide than years of visits to doctors, hospitals and drugs. Although Fitbits are frequently derided for ending up in the back of a drawer, people can be motivated to get off the sofa. Players of Pokémon Go have collectively walked nearly 9bn kilometres since the smartphone game was released last year.

That is the backdrop to a new firm called Onduo, a joint venture that Google’s health-care venture, Verily Life Sciences, and Sanofi, a French drug firm, set up last year. Onduo will start by developing ways to help diabetics make better decisions about their use of drugs and their lifestyle habits. Later on, Onduo wants to help those who are at risk of diabetes not to develop it. The startup is a good hedge for Sanofi, which faces a slowdown in sales of its blockbuster insulin medication, Lantus, which lost patent protection in 2015.

This kind of thinking does not come easily to drug firms. Switzerland’s Novartis is one of the few to have acknowledged that digital innovation will mean selling products based on patient outcomes. But if pharma firms do not design solutions that put the patient, rather than drug sales, at the centre of their strategy, they risk losing relevance, says Mr Sluijs.

Large hospitals, some of which count as both incumbents and traditional innovators, will also be affected. The rise of telemedicine, predictive analytics and earlier diagnoses of illnesses are expected to reduce admissions, particularly of the emergency kind that are most lucrative in commercial systems. The sickest patients can be targeted by specialist services, such as Evolution Health, a firm in Texas that cares for 2m of the most-ill patients across 15 states. It claims to be able to reduce the use of emergency rooms by a fifth, and inpatient stays in hospitals by two-fifths.

Rapid medical and diagnostic innovation will disrupt all businesses that rely heavily on physical facilities and staff. A mobile ultrasound scanner made by Philips, called Lumify, means that a far larger number of patients can be seen by their own doctors. As for data-based diagnostics, one potential example of its power to change business models is Guardant Health, a startup that is analysing large quantities of medical data in order to develop a way of diagnosing cancer from blood tests. If the firm can devise an early test for breast cancer, demand for mammograms and the machines that take them would fall, along with the need for expensive drugs and spells in hospital.

From ER to AI

There is also good news for hospitals, however. Increasingly, machine-learning programs are able to make diagnoses from scans and from test results. An intriguing recent project has been to stream and analyse live health data and deliver alerts on an app that is carried around by doctors and nurses at the Royal Free Hospital in London. The app, which is the work of DeepMind, a British artificial-intelligence (AI) research firm owned by Google, identifies the patients at greatest risk of a sudden and fatal loss of kidney function. The Royal Free says that the app is already saving nurses’ time.

Naturally enough, the health-care entrepreneurs have the boldest visions. The point of care will move rapidly into the home, they say. People will monitor their heart conditions, detect concussions, monitor the progress of diseases and check up on moles or ear infections using apps, mobile phones and sensors. Last year the FDA approved 36 connected health apps and devices. A new app, called Natural Cycles, was recently approved in Europe for use as a contraceptive. Its failure rate for typical use was equivalent to that of popular contraceptive pills. A smartphone may eventually be able to predict the onset of Alzheimer’s, Parkinson’s or even the menopause (if the information is wanted).

In emerging economies, where regulations on health data are less onerous and where people often already expect to pay to see a doctor, there is faster growth and innovation. China, which is building 400 hospitals a year, saw its two largest VC investments in digital health care last year. One went into a Chinese medical-service app, Ping An Good Doctor, which raised $500m; a video-consultations app called Chunyu Yisheng raised $183m. India is another innovator.

To take one example, LiveHealth, based in Pune, is an app that lets patients assemble all their health records in one place, see test results and communicate with doctors.

In the short term, the greatest disruption will come from a growing array of apps in many countries around the world that give consumers direct access to qualified GPS on their mobile phones. Overall, telemedicine is expected to grow rapidly. In America, GPs will conduct 5.4m video consultations a year by 2020, says IHS Markit, a research firm. Britain’s NHS is testing a medical AI from a London-based startup called Babylon which can field patients’ questions about their health. A paid service called Push Doctor offers an online appointment almost immediately for £20 ($24). The firm maximises the efficiency of its doctors by reducing the time they spend on administrative duties. They spend 93% of their time with patients compared with only 61% in Britain’s public sector. Babylon reckons that 85% of consultations do not need to be in person.

In the longer term, the biggest upheaval may come from the large technology firms. Amazon and Google are not the only giants to be stalking health care. Apple has expressed a strong interest in it, though it is taking time to decide exactly what it wants to do. For several years it has provided a way of bringing together health data on its iPhone, and tools for health researchers to build apps. As personal-health records accumulate on its platform, from sensors such as Fitbits to medical-grade devices, it will encourage more app development.

An app using data from an iPhone or another smartphone might be able to warn users that a sedentary lifestyle will exacerbate a heart condition or that, based on social-media patterns, they are at risk of depression, for example. Apple and other tech firms may also be able to help patients take greater control of their existing health records. For now medical records mostly remain under the guard of those who provided the care, but this is expected to change. If patients do gain proper access to their own data, Apple is in a particularly strong position. Its platform is locked and fairly secure, and the apps that run on it are all screened by the firm.

None of this will materialise quickly. Regulated health-care systems will take time to deal with concerns over accuracy, security and privacy. In Britain the Royal Free is already under scrutiny over how it shared its patients’ data. That suggests a broader worry: that technology companies are too cavalier with their users’ data. Such firms typically use long agreements on data rights that are hard for individuals to understand. The medical world places importance on informed consent, so a clash of cultures seems unavoidable.

Yet enormous change looks inevitable. Investors hope for billion-dollar health-tech “unicorns”. Payers eye equally sizeable savings. Amid such talk it is worth remembering that the biggest winners from digital health care will be the patients who receive better treatment, and those who avoid becoming patients at all.

The Economist- The wonder drug

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