Monthly Archives: February 2020

The "Impact Assessment of Automation in the Indian Manufacturing Sector" report has been added to ResearchAndMarkets.com's offering.

The manufacturing sector is one of the foundations of the Indian economy. It is imperative that India invests in emerging technologies and research for the growth of the factories of the future. The Indian government has been prompt in realizing the importance and value addition of manufacturing to India and have unlocked several investments to sustain its position in the global market. Government initiatives are promoting global investments, collaborations, and global companies to set up plants in India. This way the Indian manufacturing sector will begin its journey into the realm of digital and connected era meeting international standards of manufacturing.

The constant support from the government and the FDI has initiated the evolution of new partnerships that focuses on adoption of technologies associated with industrial internet of things (IIoT). Technology-driven processes will further offer customers visibility and transparency surging growth of the Indian manufacturing market to become a manufacturing hub and a knowledge center in the future. The Indian market is slowly opening its wings toward offering services and technology that aim to support and transform the existing and upcoming manufacturers. With high returns expected from automation technologies such as robotics, artificial intelligence (AI), industrial software solutions, older generation must invest to experience the vast benefits of industrial technologies to extract the true potential of the business.

Key questions answered in the study:

What is the next phase in industrial operations?

What are the global trends and implications of industrial automation?

What is the impact of industrial automation in India?

What are the factors impacting digital technology adoption in India?

What are the key funding and initiatives encouraging adoption of industrial automation?

What are the industrial automation technologies and some of the key participants in the Indian market?

What are some of the strategic shifts that will reshape current manufacturing businesses in India?

Key Topics Covered:

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Executive Summary

Industrial Transformation

Global Scenario

Global Market Value

Industrialization in India

Current Scenario- India Manufacturing Sector

Factors Impacting Digital Technology Adoption in India

Problems Faced by a Majority of the Participants in the Indian Manufacturing Industry

Potential Strategies and Opportunities for Industrialization in India

Key Funding & Initiatives

Existing and Ventures for Long-term Growth

Trends in Government Initiatives

Government and Industry Initiatives and Collaborations Facilitating Digital India

Key Funding & Initiatives

Industrial Sectors Anticipated Automation Potential

Role and Impact of Automation in Other Industries

Technology Assessment in India

Market Segmentation

Role of Industrial Automation

Key Market Participants in Industrial Automation Solutions

Role of Industrial Software

Key Market Participants Offering Industrial Software Solutions

Role of New Technologies

Key New Technology Participants Offering Robotic Solutions

Key New Technology Participants Offering AI Solutions

Key New Technology Participants Offering IIoT Solutions

Key New Technology Participants Offering 3D Printing Solutions

Applications with Hardware and Software Installations

The Future of Indian Automation

Key Approaches Within The Indian Smart Factory Market

Bosch Bridges the Gap Between Existing Machinery via Smart Sensor Solutions

GE Facilities to Enable India as a Manufacturing Hub

Leading Firms Gradually Shift Toward Automated Solutions

The Way Forward

Strategic Shifts to Reshape Current Business Models

Key Contacts

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/khwytt

View source version on businesswire.com: https://www.businesswire.com/news/home/20200218005837/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Impact Assessment of Automation in the Indian Manufacturing Sector, 2019 - Proliferation of Industrialization Driven by Government, Corporate &...

With the combined challenges of tight IT budgets and scarcer technical talent, its becoming imperative for enterprise network pros to embrace automation of processes and the way infrastructure responds to changing network traffic.

Not only can automation help address these problems, they can also improve overall application-response time by anticipating and addressing looming congestion. Modern applications, such as virtual reality and artificial intelligence, and architectures that incorporate IoT and hybrid cloud have yet to reach their true potential because network capacity seems to always lag behind demand.

A common problem is that too much networking infrastructure is still manually maintained and managed, but major vendors are starting to addressing these issues, as are startups that seek to break bottlenecks through automation.

Among the innovations implemented by the automation startups described here are a novel network operating system, digital twin software, network-security automation and large-scale automated Wi-Fi-assurance tools.

Collectively, they have raised more than $150M in funding, attracted top-tier leaders with long, successful track records in the networking industry, and are on a mission to modernize networking from the datacenter to endpoints.

Year founded: 2016

Funding: $11M

Headquarters: San Francisco, Calif.

CEO: Emile Vauge, who was previously a lead developer/DevOps professional at Zenika, Thales, and Airbus

What they do: Provide a multi-cloud network management platform.

According to Containous, multi-cloud networking is too complex and too labor-intensive with too many unwieldy tools with far too little integration among them. Even worse, the time DevOps teams spend on networking is not spent building, iterating, and shipping software.

Containous multi-cloud network-management platform is built for cloud-native applications and microservices. It condenses multiple network visibility and management features into a single, centralized platform.

The platform auto-discovers applications, containers, and microservice and automatically manages routing, encryption, load balancing, and mirroring at the cloud edge.

The Containous open-source cloud edge router, Traefik, integrates with all major cloud-native tools and orchestrators. It automatically monitors the health of cloud-based enterprise assets, alerting IT teams to problems, and features auto-scaling tools that allow enterprises to add or subtract resources at will.

Containous has also built a service mesh that provides visibility into container environments and manages traffic flows inside clusters.

Competitors: HAProxy, NGINX, Istio, and KongCustomers: None publicly announced

Why theyre a hot startup to watch: With IDC forecasting that there will be more than 1.8 billion enterprise container instances by 2021, the demand for network intelligence and management tools will mean a demand for Containouss products.

The company just closed a $10M Series A funding round in January 2020, and while this is CEO Emile Vauges first stint in the C-suite, he brings 15-plus years of development experience with multinational corporations. COO Vincent Pineau adds exit experience to the mix, having helped two companies to successful exits. He was VP of Global Support and Service at Talend when it became the third French company to be listed on NASDAQ. He was also co-founder and COO of Influans, which was acquired by Ogury.

Containous says its software has already been downloaded 1.4 billion times, indicating that it is gaining traction.

Year founded: 2013

Funding: $62M

Headquarters: Palo Alto, Calif.

CEO: David Erickson, a contributor to the OpenFlow specification and the author of Beacon, the OpenFlow controller used by Big Switch Networks, Cisco, Floodlight, and others

What they do: Provide digital-twin software for the management of large networks.

According to Forward Networks, any enterprise network with more than a few dozen devices is so complex that it is nearly impossible for resource-strapped IT teams to stay current with real-time, end-to-end network behavior. Its even harder to ensure that all the devices are properly configured.

Forward Networks software automatically searches, verifies, and predicts the behavior of enterprise networks by creating a software copy, or digital twin, of the entire network, including both on-premises and cloud infrastructure.

The software analyzes how the network responds to changing demands, traffic patterns and infrastructure changes. Forward Networks contends that it can do this in seconds using a proprietary approach. Via the twin, network engineers can see how applications will behave over their network, while quickly pinpointing where devices or software configurations are out of alignment with required policies.

The digital twin automatically stays up-to-date through continuous monitoring, which can also be set to verify network configurations against corporate policies.

Competitors: Cisco, VMWare (through the Veriflow acquisition), Intentionet, NetBrain, and Solar Winds

Customers: Goldman Sachs, PayPal, Telstra, and UBISOFT

Why theyre a hot startup to watch: Forward Networks is backed by $62M raised in three rounds of funding from Goldman Sachs, Andreessen Horowitz, Threshold Ventures, and A. Capital. With the rise of multi-cloud networks, which are difficult to maintain and manage, Forward Networks has already carved out a viable market niche and landed some top-tier customers.

Year founded: 2014

Funding: $38.2M

Headquarters: San Francisco, Calif.

CEO: Avi Freedman, who previously served as Chief Network Scientist for Akamai

What they do: Provide SaaS-based traffic-analysis and network-management software.

Kentiks AIOps platform, a network traffic analysis and management platform, unifies network data from cloud and on-premises infrastructure to deliver a complete end-to-end picture of the state of hybrid networks.

The platform can analyze traffic across networks where packet capture is not feasible because of traffic levels and decentralized infrastructure.Kentik ingests multiple sources of real-time and historical monitoring data, adds contextual insights, applies AI/ML to recognize patterns and anomalies worthy of actions, and gives network pros the ability to automate corrections.

Competitors: Netscout (through its Arbor Networks acquisition), Nokia (Deepfield acquisition), SolarWinds, and Turbonomic (through its SevOne acquisition)Customers: Box, eBay, GoDaddy, IBM, Netskope, Sky UK, Twitch, Yelp, and Zoom

Why theyre a hot startup to watch: Kentik has the backing, team, and early customer traction to be viable. The startup has raised $38.2M in three rounds of funding from August Capital, First Round Capital, Engineering Capital, Data Collective (DCVC), Glynn Capital, Tahoma Ventures, and Third Point Ventures.

Kentiks C-level team knows network management inside and out. Founder Avi Freedman has decades of experience managing large networks. In 1992, he founded Philadelphias first ISP, Netaxs. He spent a decade at Akamai, first as VP of Network Infrastructure and then as Chief Network Scientist. Before founding Kentik, he was CTO at ServerCentral. Chief Scientist Ian Pye was Cloudflares first hire. As the lead analytics engineer, he wrote many of Cloudflares backend systems. CTO Jonah Kowall previously served as VP of Market Development and Insights for AppDynamics, helping position the company for its $3.7B acquisition by Cisco in 2017.

The customers it names are major enterprises.

Year founded: 2012

Funding: $31M-plus

Headquarters: Lehi, Utah

CEO: Marc Chenn. was director of sales with Compliance11, which was acquired by Charles Schwab in 2011.

What they do: Provide an automation and collaboration platform for network security.

IT and security teams cant keep up with the complexity and scale of modern infrastructure. According to Gartner, 99% of exploited vulnerabilities occur on misconfigured or non-compliant systems. SaltStack says the Achilles heel of the current approach to this problem is that it lacks automated remediation, which means IT and security teams are always in reactive mode.

SaltStacks software platform fully automates the mapping of security policy to infrastructure configuration, scanning the infrastructure against desired policies, managing vulnerabilities, and automating remediation of vulnerabilities at scale.

Competitors: Microsoft, Red Hat, Puppet, and BMC

Customers: None publicly announced.

Why theyre a hot startup to watch: With stricter privacy laws and the growing popularity of SD-WAN, security is becoming ever more important, which assures a strong demand.

SaltStacks CEO Marc Chenn has experience leading startups to successful exits. He played a critical role in the 2002 IPO of Altiris and its eventual $1 billion acquisition by Symantec. Chenn also helped lead SaaS provider Compliance11 to an acquisition by Charles Schwab.

Year founded: 2016

Funding: $9M

Headquarters: Marlborough,Mass.

CEO: Roger Sands, who was previously mobility business line manager for HP.

What they do: Provide autonomic Wi-Fi assurance software.

According to Wyebot, large, mission-critical Wi-Fi networks, are difficult to monitor, manage, and repair. The traditional approach to fixing Wi-Fi issues is sending a network engineer to troubleshoot using handheld tools. Wyebot says its AI engine software can accomplish remotely what network engineers do on site.

Wyebots Wireless Intelligence Platform provides visibility into large Wi-Fi networks and analyzes network behaviors using AI and multi-radio sensors. The platform automatically identifies problems and recommends fixes.

Automated problem resolution combined with a remote client for end-user applications and performance metrics give IT visibility into what is going on throughout all locations at the organization. This allows problem solving without having to go onsite.

The company claims this approach results in up to a 90% reduction in mean-time to problem resolution, up to 50% reduction in Wi-Fi problem tickets, and up to 80% reduction in onsite problem-solving visits.

Competitors: Ekahau, Metageek, 7Signal, and HP (Cape Networks acquisition) Customers: Tampa Prep, Hachette Book Group, and Audi FIS Women's Ski World Cup at Killington, Vt.

Why theyre a hot startup to watch: Wyebot has raised a total of $9M in two seed rounds, will be raising its Series A round this year, and has already landed named customers.

CEO Roger Sands and CTO Anil Gupta have solid track records in this space. Sands served as Co-CEO of Colubris Networks, where he built its enterprise business and led its sale to HP. After the acquisition, Sands ran HPs global Wi-Fi business. Gupta has nearly 25 years of experience in the networking industry. He served as a principal software engineer at Colubris Networks until its acquisition by HP. Then, he served in various designer/architect roles at HPE Aruba. Gupta also holds 15 Wi-Fi patents.

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5 Hot network-automation startups to watch - Network World

With marketers citing repetitive workflows as a top pain point, Adjust's new Control Center automates campaign management, empowering them to focus on creativity, strategy and pushing boundaries

SAN FRANCISCO, Feb. 18, 2020 /PRNewswire/ --Adjust, the industry leader in mobile measurement, fraud prevention and cybersecurity, today announced the launch of its pioneering new product, Control Center, which will be part of the Adjust Automate suite. With its release, Adjust aims to dramatically simplify the process of mobile advertising management for today's marketers.

Adjust 3 Pillars - Measure, Protect, Automate

Mobile has become the new undisputed king of digital, and eMarketer predicts marketers are poised to invest a record-breaking $286 billion in mobile ad spend in 2020. But as the industry grows, the process behind ad management has become increasingly complex.

According to new research by Adjust:

Adjust's Control Center was built to simplify these processes. Designed as a cross-app, cross-partner and cross-network dashboard, marketers will be able to view data across all their apps and campaigns and act on it. The product is part of the company's third product suite, Adjust Automate. It follows Measure, which focuses on attribution and analytics, and Protect, which encapsulates its fraud prevention and cybersecurity solutions. These three product suites make marketing simpler, smarter and more secure for the 32,000 apps working with Adjust.

"Mobile is one of the most sophisticated and technical channels in marketing today, but it relies on a huge amount of manual work," commented Paul H. Mller, co-founder and CTO at Adjust. "According to our research, marketers would have to adjust over 250 distinct bids and spend limits. That means even a moderate number of campaigns can become complex to keep updated."

"With Control Center, marketers can offload manual, routine tasks, leaving them free to focus on being creative and pushing the boundaries of what marketing can achieve," Mller continued. "The product also has the potential to be an equalizer in mobile marketing, massively increasing the number of campaigns one person can manage, and allowing smaller teams to compete with larger marketing departments. With it, the battle will gradually shift from out-spending to out-thinking competition."

Control Center will be available as a separate package for clients and integrated into their existing dashboard, along with an Enterprise version that is fully customizable for the most sophisticated of advertisers.

The launch follows a strong period of growth for Adjust. In 2019, the company announced multiple acquisitions, hiring of top talent and one of the year's biggest rounds of funding in Europe. In 2020, Adjust will be focusing on consolidating its existing product to become the definitive growth engine for the mobile marketing ecosystem.

Methodology: The research, conducted by Censuswide on behalf of Adjust, polled one hundred user acquisition managers and digital marketers based in the United States.

About AdjustAdjustis the industry leader in mobile measurement, fraud prevention and cybersecurity. Born at the heart of the mobile economy and grown out of a passion for technology, the globally operating company now has 16 offices around the world. By making marketing simpler, smarter and more secure, Adjust empowers data-driven marketers to build the most successful apps in the world.

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Adjust Launches Pioneering Automation Technology to Fundamentally Simplify Mobile Advertising Processes and Foster Creativity - Yahoo Finance

The "South East Asia Industrial Automation and Process Control Market by Product Type (DCS, PLC, SCADA, PLM), Industry Vertical (Textile, Oil and Gas, Food and Beverages, Life Sciences, Automotive, Packaging) - Industry Forecast to 2025" report has been added to ResearchAndMarkets.com's offering.

The market is expected to grow at a CAGR of 7.8% from 2019 to 2025 to reach $4.97 Billion by 2025

The growth of industrial automation and process control in Southeast Asia is majorly supported by government initiatives, growing demand for industrial automation backed by growing production demands, and the advent of Industry 4.0. Growing needs for mass production and mounting pressure for reducing operational cost is also contributing to the overall growth of this market. However, high capital investment and the direct impact of industrial automation on employment are the major restraining factors for the consistent growth of this market.

Based on product type Southeast Asia industrial automation & process control market is segmented into product lifecycle management, distributed control system, supervisory control, and data acquisition system, variable frequency drive, general motion control, programmable logic controller, sensors & transmitters, manufacturing execution system, flowmeters, machine safety systems, enterprise asset management, human-machine interface, process safety system, operator training simulators.

At present, product lifecycle management commanded the largest share of the Southeast Asia industrial automation & process control market by product type and expected to witness high growth during the forecast period.

A programmable logic controller is expected to grow with the fastest CAGR throughout the forecast period. PLC can continuously monitor and help industry to make decisions based on the data collected. This certainly helps industries to save a considerable amount of time, money, and energy spent on impulsive decisions.

Based on industry vertical, the Southeast Asia industrial automation & process control market is majorly segmented into the process industry and discrete industry. In 2019, the process industry dominated the overall Southeast Asia industrial automation and process control market and is expected to continue its dominance throughout the forecast period. The process industry offers immense opportunities to incorporate disruptive technologies such as robots and automation & process control.

An in-depth analysis of the geographical scenario of the market provides detailed qualitative and quantitative insights about the major countries including Singapore, Vietnam, Thailand, Malaysia, Indonesia, and the Philippines. In 2019, Singapore commanded the largest share of Southeast Asia industrial automation & process control market followed by Vietnam and Thailand.

The large share of this country is attributed to the high per capita income in the region with the manufacturing industry as a major contributor to it. The high advent of Industry 4.0 and rapid automation of industrial manufacturing & processing industry backed by strong government initiatives such as National Robotics Program is also aiding Singapore to emerge as the most dominating country in the Southeast Asia industrial automation & process control market.

Key Topics Covered:

1. Introduction

2. Research Methodology

3. Market Share Analysis, by Key Players

4. Executive Summary

5. Market insights

5.1. Introduction

5.2. Market Dynamics

5.2.1. Drivers

5.2.1.1. Government Initiatives to Promote The Adoption of Automated Systems in Various Industrial Verticals

5.2.1.2. Increasing Demand for Automation From Various Manufacturing Sectors

5.2.1.3. Growing Innovations in Industrial Automation Systems

5.2.1.4. Growing Need for Mass Production With Reduced Operation Cost

5.2.2. Restraints

5.2.2.1. Growing Risk of Unemployment

5.2.2.2. High Capital investments

5.2.3. Opportunities

5.2.3.1. Digital Transformation and Rapid Technological Advancements

5.2.3.2. Industry 4.0 Revolution

5.2.3.3. Growing Manufacturing Sector in Emerging Economies

5.2.4. Challenges

5.2.4.1. Lack of Skilled Workforce

5.2.4.2. Automated Cyber Threat

6. Southeast Asia Automation and Process Control Market, by Product Type

6.1. Introduction

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6.2. Product Lifecycle Management

6.3. Distributed Control System

6.4. Supervisory Control and Data Acquisition System (Scada)

6.5. Variable Frequency Drive

6.6. General Motion Control

6.7. Programmable Logic Controller

6.8. Sensors and Transmitters

6.9. Manufacturing Execution System

6.10. Flowmeters

6.11. Machine Safety Systems

6.12. Enterprise Asset Management

6.13. Human-Machine interface

6.14. Process Safety System

6.15. Operator Training Simulators

7. Southeast Asia Automation and Process Control Market, by Industry Verticals

7.1. Introduction

7.2. Process Industry

7.3. Discrete Industry

8. Southeast Asia Automation and Process Control Market, by Geography

8.1. Introduction

8.2. Singapore

8.3. Vietnam

8.4. Thailand

8.5. Malaysia

8.6. Indonesia

8.7. Philippines

8.8. Others

9. Competitive Landscape

9.1. Introduction

9.2. New Product Launches

9.3. Partnerships, Collaborations, Alliances & Agreements

9.4. Expansions

9.5. Mergers & Acquisitions

10. Company Profiles

10.1. Siemens AG

10.1.1. Business Overview

10.1.2. Financial Overview

10.1.3. Product Portfolio

10.1.4. Strategic Developments

10.2. ABB Group

10.3. Fanuc Corporation

10.4. Rockwell Automation, Inc.

10.5. Emerson Electric Corporation

10.6. Universal Robots

10.7. Schneider Electric SE

10.8. Honeywell international, Inc.

10.9. Panasonic Corporation

10.10. Eaton Corporation

10.11. Scott Automation & Robotics (A Subsidiary of Scott Technology)

10.12. Yokogawa Electric Corporation

For more information about this report visit https://www.researchandmarkets.com/r/8fkad3

View source version on businesswire.com: https://www.businesswire.com/news/home/20200218005521/en/

Contacts

ResearchAndMarkets.comLaura Wood, Senior Press Managerpress@researchandmarkets.com For E.S.T Office Hours Call 1-917-300-0470For U.S./CAN Toll Free Call 1-800-526-8630For GMT Office Hours Call +353-1-416-8900

Continued here:

Industry Forecast on the South East Asia Industrial Automation and Process Control Market (2020 to 2025) - Featuring Siemens AG, ABB Group, Fanuc...

Eckhart, an Industry 4.0 solutions provider, today announced participation in the 3M (NYSE:MMM) Robotics Network with a focus on the automation of metal finishing processes using KUKA's innovative ready2_grind pre-configured and coordinated application package. All three companies seek to grow the role of robots as an alternative to the manual deburring, polishing, and grinding of components that dominate the factory floors of agricultural & mining equipment manufacturers, medical device makers, and defense companies. The 3M Robotics Network centralizes best practices and increases awareness in the industrial market for what has historically been considered a niche robotic application.

Eckhart's participation in the 3M Robotics Network builds upon their existing relationship with 3M which includes the successful co-development of the 3M Automated Taping System (ATS), a collaborative robot-based solution for tape application.

"At 3M, we apply science in collaborative ways to improve life. Transforming metal by grinding, sanding, and deburring is a harsh process traditionally done by humans, but one that's increasingly suited for off-the-shelf automation. We see a significant opportunity to define and grow the ecosystem of abrasive process experts and automation providers in order to ultimately deliver real value to 3M customers," said Matthew Purdin, 3M Global Robotics Marketing Manager. "The Robotics Network contains a small number of preferred integrators, like Eckhart, that have demonstrated a high capability in the space and see the opportunity in the marketplace like we do."

Daniel Burseth, Eckhart's Vice President of Business Development, adds, "Eckhart is excited to grow our relationship with 3M and KUKA in a new way. The market reaction to the 3M Automated Taping System has been fantastic, and we see similar potential to grow the role of abrasive process automation within our Fortune 500 customer base."

Eckhart designs, builds, and sustains custom automation systems for the world's largest manufacturers and expects the chronic labor shortage in the manufacturing sector to accelerate. "When factory leaders evaluate which positions are hardest to fill, they find few applicants interested in pushing a grinder around a weldment for 10 hours a day," Burseth continues. "This quality of life consideration, coupled with the ease of a pre-configured solution like ready2_grind, make this collaboration a very exciting opportunity for Eckhart and our customers."

Ready2_grind is the latest offering in KUKA's ready2_use collection of pre-configured and coordinated application packages. Alongside offerings like ready2_spray and ready2_spot, ready2_grind bundles years of best practices into an integrated solution consisting of a KUKA robot & 3M grinding tool, abrasive, and process expertise. "We believe that ready2_grind drastically simplifies the effort to automate. Component selection and integration, as well as the method for process development, have all been optimized," said KUKA Senior VP of Sales & Marketing, North America, Simon Whitton. "Manufacturers in the welding industry are looking to improve production rates, and ready2_grind's accuracy and precision enable consistent production and maximum efficiency."

Integration of ready2_grind through the 3M Robotics Network is generally available for any manufacturing environment. Learn more at http://www.eckhartusa.com

About 3M

3M applies science in collaborative ways to improve lives daily. With $33 billion in sales, our 93,000 employees connect with customers all around the world. Learn more about 3M's creative solutions to the world's problems at http://www.3M.com or on Twitter @3M or @3MNews.

3M is a trademark of 3M Company.

About Eckhart

For over 60 years and based in Warren, Michigan, Eckhart designs, builds, and sustains advanced industrial solutions that enhance the quality of life. Eckhart's proven portfolio of Industry 4.0 technology includes AUTOCRAFT autonomous guided vehicles (AGVs), collaborative robotic systems, traditional robotics, assembly line design & simulation, 3D printing tool development & production, and Factory of the Future consulting for the world's largest manufacturers. Eckhart serves an established and loyal blue-chip customer base of leading automotive and industrial original equipment manufacturers. Learn more at http://www.eckhartusa.com.

About KUKA

KUKA is a global automation corporation with sales of around EUR 3.2 billion and around 14,200 employees. As a leading global supplier of intelligent automation solutions KUKA offers its customers everything from a single source: from robots and cells to fully automated systems and their networking in markets such as automotive, electronics, general industry, consumer goods, e-commerce/retail and healthcare. The KUKA Group is headquartered in Augsburg, Germany.

View source version on businesswire.com: https://www.businesswire.com/news/home/20200218005371/en/

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Eckhart Grows Specialty Automation Capability With 3M and KUKA - Benzinga

Investors are always looking for outperforming sectors but such industries are just a handful rather than many, as winners are typically the minority.

In the era of fourth industrial revolution, automation is likely one of those rare outperformers.

Lets take a look at some data. The labor share of income in the United States has fallen, declining from an average of 62 percent in the 1980s and 1990s to roughly 55 percent in the 2010s thanks to automation.

A simulation presented in the Federal Reserve Bank of San Francisco Economic Letter shows that without automation, the labor share could have been higher at 57-58 percent.

Do not dismiss the 2-3 percent difference, given that policymakers are chasing unemployment rate even at the 0.2-0.3 percent order, as labor input is one of the key factors of production that counts straight into GDP.

With a labor share standing over 50 percent, there is still lot of room for reduction, to free up workers for other activities.

The impact of automation has been obvious since the financial tsunami more than a decade ago.

In fact the drivers of Nasdaqs strong gains, including FAANG are all of this kind. Automation does not belong to AI firms. Often it is those who apply automation to the market or to their clients, making the most money.

It follows that firms which might adopt these technologies would have much upside potential. What exactly are these then?

Well, firms having large labor share would have the most potential as they have lot more scope for automation.

Which firms have high staff-to-profits ratios? One should be able to find those numbers from their financial reports.

Contact us at [emailprotected]

RC

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Why automation is a compelling investment theme - EJ Insight

The market for robotic process automation is one of the hottest in tech right now, rapidly gaining traction as larger enterprises look to speed up their business processes by automating mundane office tasks.

A lot of the buzz around RPA comes from the massive amounts of money being injected into the market. The two biggest players in RPA right now, Automation Anywhere Inc. and UiPath Inc., are both startups that have raised almost $1 billion between them, sharing a combined market value of nearly $14 billion. Meanwhile, the market generated revenue of around $1 billion in 2019, almost double a year ago.

With so much money being thrown around, Dave Vellante, chief analyst at SiliconANGLE sister market research firm Wikibon and co-host of SiliconANGLEs video studio theCUBE, took a deeper look at the RPA space in his latest breaking analysis video in order to ascertain just how big it could grow.

One of the most important questions to address is whether the RPA market is overvalued, and at first glance that does appear to be the case. Wikibons data shows the RPA market is trading at around 15 to 17 times revenue, which is a very high multiple. But Wikibons forecasts show that growth in the RPA market is expected to slow to 20% a year by 2025, by which time it will also start throwing off some profits, at least for the leading players.

What we show here is a sensitivity analysis assuming 20%, 25%, 30% and 35% earnings before interest and taxes for the market, Vellante said. And we show a 20-times EBIT multiple, which for a market growing this fast is reasonable, considering that tech overall will typically have a multiple of 10% to 15%.

Wikibons forecasts assume a market valuation of around $75 billion a year by 2025, which suggests the RPA market is actually more likely to be undervalued at this time. As for RPAs total available market, it could easily end up exceeding $30 billion globally, supporting a higher implied valuation multiple.

Of course that means theres a lot at stake for those trying to carve out a piece of that pie, but who is currently sitting at the table?

To answer that question, we looked at the latest spending data from Enterprise Technology Research, which shows that RPA is one of the fastest-growing segments in technology right now, especially when it comes to larger enterprises. The sector has a very strong net score compared with other technology segments.ETRs net score is a measure of spending velocity that takes into account whether a customer is planning to spend more or less on a particular provider, based on surveys dating back to January 2017.

ETRs data shows that RPA is truly on the enterprise agenda, and that UiPath and Automation Anywhere not only have the largest market share of the market, but are also putting some distance between themselves and their rivals.

Thats not to say there isnt room for any other players. ETRs data shows the likes of Blue Prism Ltd., Pegasystems Inc. and WorkFusion Inc. are also enjoying some good traction in the space with some strong net scores of their own.

The picture changes when we narrow things down to the biggest enterprises in ETRs surveys, though. Suddenly, UiPaths net score jumps to 80% while Pegasystems also has more of a presence. But Automation Anywhere records a slight dip, and Blue Prism also declines.

The other key point on this chart is that 85% of UiPath customers and 70% of Automation Anywhere customers plan to spend more this year than last year, and that is pretty impressive, Vellante said.

The future of the RPA market will be defined by its ability to break into more use cases with deeper business integration. Theres a real opportunity to cross the chasm and deliver useful, low-code systems to subject matter experts in business areas that have strong potential to drive change.

This idea of hyper-automation is buzz wordy but it has meaning, Vellante said. Companies that bring RPA together with process mining and machine intelligence that drives process analytics have great potential, so long as organizational stove pipes can be broken down. Put process data and analytics at the core to drive decision-making and change.

In other words, whoever can break out and hit escape velocity in the RPA market is likely to have a very bright future. But theres unlikely to be room for everyone at the table, since the market is still fairly small compared with larger markets such as cloud computing.

This is more of a winner-take-all market, its not a trillion-dollar TAM, Vellante said. Its tens of billions of dollars and maybe north of $30 billion, but its somewhat of a zero-sum game market, in my opinion.

And the winners are most likely to be those companies that have already carved out an early lead. Indeed, theres not even much room for big software players such as Microsoft Corp. and SAP SE, which have both made moves into the market. The problem is that Microsoft and SAP both have an incremental view of the market, and bundle RPA as a checkoff item rather than give it a higher priority.

Organizations that really want to benefit from so-called hyper-automation will be leaning heavily on software from specialists who have the vision, resources, culture and focus to drive digital process transformation, Vellante said. No. 1 will make a lot of money. No. 2 will do OK, and everyone else will struggle for profits.

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Robotic process automation is a big market, but there will be only one big winner - SiliconANGLE

A consortium of thirteen partners led by the University of Glasgow recently organised the event Towards a fully automated housing system in 2030? James Tickell, a partner at Campbell Tickell, attended the event and shares a number of key takeaways below.

An automated housing system within ten years? Exciting? Alarming? Another pipedream? Lets imagine how such a system might look; and then speculate on the opportunities and pitfalls it could bring. And finally, some reflections on what may come about, given current harsh realities, and on how automation can be compatible with human values and social purpose.

For buildings, its easy enough to envisage; weve all heard about the internet of things. Embed smart chips and sensors in major building components, and hey presto, maintenance becomes so efficient. Thats easier for newbuilds of course, but existing stock can be retrofitted. Add regular drone surveys, and a landlord can know pretty much everything about its property assets, in real time.

When a tenant or a sensor actually has to call in an unpredicted repair, nine times out of ten it will be clear whats needed. No more going back to the depot for the missing boiler or lift parts, or having to order them from Germany or Peterborough. Lets assume that 2030 operatives will still be human, even if vans are self-driving. Robots surely wont be ready to get down and dirty under a sink, even by then.

Artificial intelligence then applied to data allows pattern recognition and an uncanny ability to fix problems before they arise. A just in time approach enables a reduction in stockholding, while careful journey planning saves on mileage and time. No shows by the tenants are largely avoided, as sensors will be able to indicate whether anyone is there to answer the door. Once an operative is on site, they will be able to carry out any other scheduled tasks before moving on.

Blockchain technology creates self-verifying and tamper-proof databases; eventually it will have profound effects on contracts, asset registers, land title and more besides. Compliance and safety become a doddle, while the savings are massive in terms of staffing, materials and time. As blockchain becomes a reality, we can speculate that internal auditors, complex assurance systems and middle managers more generally will largely become a thing of the past. Organisations will de-layer, with more horizontal structures.

So far so good? Or were you uneasy about the privacy implications of sensors revealing who was there to answer the door? Theres a lot more to think about. Examples already exist you can easily buy an airline ticket without speaking to a human. Of course, if things go wrong and you do need to speak to someone, then its a different story. It can take hours, listening to music, pressing buttons, going in automated loops, and spending a small fortune on premium phone lines.

Maybe lettings and routine tenancy work could be done a bit like that, although without the waiting and the music? Not sure? We can hope that 2030 artificial intelligence, unlike todays artificial imbecility, will be better at sorting out the odd anomaly. It could also be brilliant at collecting and organising tenant feedback, giving volume to the tenant voice.

Arrears could be dealt with similarly. Even better, AI will predict well in advance which households will be vulnerable to financial hardship, allowing support to be directed appropriately. In the same way, it would be possible to predict which households would make greater demands on maintenance services, or end their tenancies in an untoward manner. Some landlords might be tempted not to let to such households in the first instance, but the value of the business intelligence accrued would surely outweigh such concerns?

It goes on. Face recognition technology could be just the ticket for preventing illegal subletting, and for dealing with anti-social behaviour. In fact, you could do away with keys altogether, with entry systems recognising and admitting only tenants and their families. By 2030, systems should be able to recognise people from all different ethnic backgrounds, a distinct glitch in todays matrix, which will be familiar to many of us with e-passports.

The possibilities for automation are already considerable. but with technology comes a heady cocktail of ethical and practical issues. James Tickell, Partner at Campbell Tickell

As regards more vulnerable residents, the possibilities for automation are already considerable. Call systems, with fridge and floor sensors, can detect whether someone may be unable to get out of bed, have fallen or not be eating. In Japan, robot nurses, medicine dispensers and pets play an increasing role, so that care can be given with little or no human contact. As for company theres always the possibility of a chat with Alexa.

A heady cocktail of ethical and practical issues begins to emerge. Clearly, new technologies are already with us, and will become more effective in time. The possibilities are endless, and things can go either way in terms of utopian or dystopian futures. Financial savings are there to be made for landlords, and these can be reinvested into better customer experience, care, support and empowerment. Or they can become more generous dividends for investors.

On the dark side, things could trend towards the surveillance capitalism explained by Shoshana Zuboff, under which landlords would amass data about tenants, and exploit it to control behaviour, sell additional services and increase efficiency. You only need to look at Google, let alone Chinas ruthless and internet enabled control of Uighurs to see how things could move that way.

Where does that leave us? Looking at the glacial pace of sector IT investment, the possible retrofitting to millions of properties and prevailing austerity, 2030 seems optimistic for any widespread automation of mainstream housing, especially given the fragmented nature of the sector. The gains could be huge, but so too would be the investment needed. Care of the elderly may turn out to be different matter, given labour shortages and demography once the Japanese robot nurses are perfected, stand by for their introduction here.

The technologies needed for housings automation will exist by 2030, for sure, and will be widely used by the Ubers and Easyjets of the day. But a safe prediction is that many landlords will still be using the same IT systems as now, with a few fancy add-on bells and whistles, and some smarter backroom trend analysis.

The overall direction though is certain, and should not be ignored, even if 2040 may be a safer bet than 2030. The technology itself is morally neutral and all will depend on how we choose to use it. Things will play out according to the balance of power between providers and consumers governed by market conditions, demographics, economics and the legislative framework of safeguards.

But equally important, for social landlords, as they grapple with new ways of working, it will be vital to remember and reinterpret their social purpose for the new context. Mission statements are all big on customer focus, and on how our people are our greatest asset. Lets all try and keep it so as 2030 draws nearer and keep up Zuboffs Fight for a Human Future.

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When will automation in the housing system become reality? - Consultancy.uk

NTT Data is a Business Reporter client.

In an interview withBusiness Reporters Alastair Greener, NTT DATA Services Chief Technology Officer Kris Fitzgerald discusses automation and technology within the workplace, focusing on topics such as workplace automation, artificial intelligence (AI) bias, and machine learning.

Fitzgerald notes that companies are attempting to bridge the gap to customers with faster and more effective approaches. His solution includes smarter artificial intelligence and automation that create new forms of value for enterprises and deliver smarter digital solutions. Technology has grown drastically within a short period of time, explains Fitzgerald, and its ability to understand human speech has surpassed that of humans itself. This accuracy in machines creates faster channels between companies and customers.

Now that technology has advanced to a more powerful state, companies are able to change their business models and through harnessing the value of data intelligence to better serve the needs of both their customers and employees. Fitzgerald emphasises that automation has allowed organisations to better train and upskill their employees to fit the industrys new model. When asked about the role that automation plays in making human roles obsolete and employees redundant, Fitzgerald acknowledged that organisations who continue to develop and teach their employees could avoid cuts.

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The interview concludes with a discussion about artificial intelligence bias. This idea derives from search engines feeding visitors information. Once, search engines listened to consumers and regurgitated what they thought. Now, they offer a less biased landscape but according to Fitzgerald, it may be impossible to make automated system entirely free from bias. He used the example of a conversation he had with an employee at the United Nations, where they discussed individual countries having their own forms of bias that are hard to escape from. He said, If you are talking about a country, [bias] is possible because the cultural norms of that country are common.

Kris Fitzgerald sat down with Business Reporter to discuss the changing world of automation

This article originally appeared on Business Reporter.

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Getting To The Bottom Of Workplace Automation [Video] - Forbes

NORTH CANTON, Ohio DieboldNixdorf (NYSE: DBD), a global leader in driving connected commerce for thebanking and retail industries, was recently recognized as the global leader inthe automated deposit terminal (ADT) market by strategic research andconsulting firm RBR in its 2019 Deposit Automation and Recyclingstudy.

Automated deposit transactions havebeen growing rapidly over recent years as consumer demand has increased forsecure, real-time deposit transactions. According to RBR, in 2018 the number ofADTs installed globally grew by 4% to reach 1.4 million, and theres a strongpotential for further growth in both emerging and developed markets.

Dominic Hirsch, managing directorat RBR, said: The number of ATMs with automated deposit continues togrow with banks increasingly replacing cash dispensers with higherfunctionality deposit machines. Combined with a growing trend for recyclers,these terminals provide greater convenience for customers by allowing them tomake a deposit any time of the day and are more strategic and efficient forbanks, providing tellers more time for personalized interactions withcustomers. RBR is forecasting that by 2024 more than half of ATMs worldwidewill offer automated deposit functionality.

Cash-recycling technology is a keypiece of the automation puzzle is now taking off in markets where it hadpreviously been overlooked. According to RBRs latest research, many banks nowrank recycling as a basic functional requirement when selecting new depositterminals.

Ulrich Naeher, senior vicepresident, Systems, at Diebold Nixdorf, said: Our banking customers arerealizing the benefits of our automated deposit solutions, including theability to recycle banknotes, which is an integral part of the design of our DNSeries ATMs. The self-service units can securely and accurately accept,validate, store and recirculate cash, which can dramatically reducecash-in-transit visits and reduce costs. The flexible design of the DN Seriesallows our customers to enable recycling with a software update eliminating anydowntime.

About RBR

RBR is a strategic research andconsulting firm with three decades of experience in banking and retailautomation, cards and payments. It assists its clients by providing independentadvice and intelligence through published reports, consulting, newsletters andevents.

About Diebold Nixdorf

Diebold Nixdorf, Incorporated(NYSE: DBD) is a world leader in enabling connected commerce. We automate,digitize and transform the way people bank and shop. As a partner to themajority of the worlds top 100 financial institutions and top 25 globalretailers, our integrated solutions connect digital and physical channelsconveniently, securely and efficiently for millions of consumers eachday.The company has a presence in more than 100 countries withapproximately 23,000 employees worldwide. Visit http://www.DieboldNixdorf.com for more information.

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Diebold Nixdorf Recognized by RBR as the Global Leader in Automated Deposit Solutions

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Diebold Nixdorf (NYSE: DBD), a global leader in driving connected commerce for the banking and retail industries, was recently recognized as the global leader in the automated deposit terminal (ADT) market by strategic research and consulting firm RBR in its 2019 Deposit Automation and Recycling study.

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PaymentsJournal

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Diebold Nixdorf Recognized by RBR as the Global Leader in Automated Deposit Solutions - PaymentsJournal