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DUBLIN, Dec. 31, 2021 /PRNewswire/ -- The "Digital Transformation Market by Technology (Cloud Computing, Big Data and Analytics, Mobility/Social Media, Cybersecurity, AI, and IoT), Deployment Type, Organization Size, Vertical (BFSI, Retail, Education), and Region - Global Forecast to 2026" report has been added to ResearchAndMarkets.com's offering.

The digital transformation market size to grow from USD 521.5 billion in 2021 to USD 1247.5 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 19.1% during the forecast period. Various factors such as increasing spending on marketing and advertising activities by enterprises, changing landscape of customer intelligence to drive the market, and proliferation of customer channels are expected to drive the adoption of digital transformation technologies and services.

Digital transformation is the outcome of changes that occur with the application of digital technologies. The use of digital transformation across business and organizational activities, processes, competencies, and business models leverages the changes and opportunities of a mix of digital technologies and their impact on society. Digital transformation helps enterprises improve the customer experience, optimize the workforce, enhance operational activities, and transform the products and services of the organization. The evolution of digital technologies, such as cloud computing, big data and analytics, mobility/social media, blockchain, Artificial Intelligence (AI), Internet of Things (IoT), robotics, and cybersecurity, has created the need for digitalization across several industries. These technologies are used by enterprises to improve or add more features to their traditional business processes while also helping enhance customer relationships.

The on-premises segment to have the highest CAGR during the forecast period.

By deployment mode, the digital transformation market has been segmented into on-premises and cloud. The CAGR of the on-premises deployment mode is estimated to be the largest during the forecast period. On-premises solutions are deployed with a one-time license fee and an annual service agreement, which includes free upgrades after a specified time. On-premises software solutions are depreciable assets and are affordable for companies that have the budget to make the initial investment.

The SMEs segment to hold higher CAGR during the forecast period.

The digital transformation market has been segmented by organization size into large enterprises and SMEs. The market for SMEs is expected to register a higher CAGR during the forecast period. These enterprises are early adopters of digital transformation solutions. They are faced with the troublesome task of effectively managing security because of the diverse nature of IT infrastructure, which is complex in nature.

Among regions, APAC is to hold the highest CAGR during the forecast period.

APAC is expected to grow at a good pace during the forecast period. Security spending in APAC is increasing significantly due to the ever-growing threat landscape. Traditional methods are no longer adequate for advanced digitalization. Hence, digital transformation vendors in this region focus on innovations related to their product line. China, Japan, and India have displayed ample growth opportunities in the digital transformation market.

Market Overview

Drivers

Restraints

Opportunities

Challenges

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/m1vi9v

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Insights on the Digital Transformation Market Global Market to 2026 - Featuring Accenture, Equinix, Google and Oracle Among Others - PRNewswire

Edge computing predictions are crucial for organizations in Industry 4.0

Edge computing is gaining momentum in Industry 4.0 with its effective data management with cutting-edge technologies. It is expected that the global edge computing market will reach US$10.9 billion in 2022 with a CAGR of 14%. If organizations follow the upcoming edge computing trends, there will be more sophisticated use cases across the world. Predictions of edge computing are crucial to know for cloud service providers to offer edge data centres. Lets explore some of the top edge computing predictions to look out for in 2022.

One of the top edge computing predictions is the unity of information technology and operational technology through edge computing. IoT devices are embedded with an edge to allow data collection and processing for effective data management to be immediately put to use. Industries will start embracing edge systems to bridge the gap between IT and OT in Industry 4.0.

An upcoming edge computing trend is filtering edge data to use smarter sensors for more processing at the edge. Sensors are known for delivering real-time data about model performances. Thus, by filtering edge data, organizations can create a breakthrough in performances to gain a competitive edge in the global market.

The emergence of new applications and use cases with edge computing is one of the top predictions of edge computing. There will be hybrid edge models to deliver functionalities with more flexibility and resilience. There are forward-thinking IT leaders ready to leverage edge computing with new advanced applications to combat privacy issues, trade-offs of latency, and many more.

2022 is the year to have breaking news in edge computing first edge computing start-up unicorn. Multiple edge computing start-ups are emerging as they have identified and grabbed the opportunity in this field. There are multiple investors who are investing millions of dollars in different Series rounds in these start-ups. Achieving success, yielding high revenues, and nabbing investments can make the first edge computing start-up unicorn in 2022.

The introduction to fog computing is known as the edge of edge computing. It delivers more computation, communication, and data storage locally at the edge efficiently. It is gaining popularity for its decentralized computing structure located between different types of clouds and edge devices producing enormous datasets in real-time.

2022 will experience the radical shift from cloud computing to edge computing and this is one of the upcoming edge computing trends. Organizations will run their processes and systems at the edge of the network with new paradigms. They will reap the benefits from cloud-like convenience without compromising the performance effective data management by distributing data to locations of users efficiently.

Overcoming the IT staffing crisis is one of the top edge computing predictions in 2022. By deploying edge computing, organizations will not need dedicated IT staff to manage and control remote branch offices. An edge-based system from a single data centre with zero-touch provisioning allows administering remotely efficiently. Thus, organizations can have effective data management while overcoming the IT staffing crisis.

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Top Edge Computing Predictions to Look Out for in 2022 - Analytics Insight

If 2021 proved a tough survival test for businesses, 2022 could be the right time to accelerate adaptive ability by capitalising on trends.

INFLATIONARY PRESSURE

Inflation has picked up around the world because of higher costs for raw materials, constraints on the supply of goods, stronger consumer demand as economies reopen as well as prices bouncing back from drops in some sectors during the pandemic.

A sharp rebound in consumer demand coupled with supply disruptions and depleted supplies have pushed up prices and shipping costs globally.

Mounting inflationary pressure is anticipated in Thailand in 2022, with the Commerce Ministry -- which gauges headline inflation through the consumer price index -- predicting the highest level in the country in a decade, reaching 3% from a range of 0.8% to 1.2% in 2021.

E-payment transactions in Thailand have gained popularity since implementation of PromptPay in 2017.Chakrapan Natanri

The surge in the rate of inflation is mainly attributed to cost-push factors, including rising prices of imported raw materials, a recovery in domestic demand, relatively high oil prices and a labour shortage.

Ronnarong Phoolpipat, director-general of the Trade Policy and Strategy Office (TPSO), said the growth in demand both domestically and overseas has arrived in line with GDP growth, recovering tourism, robust exports, higher production and a series of economic stimulus measures from the government that would encourage purchasing power and be instrumental in driving headline inflation in 2022.

Higher demand for energy based on a recovery of the global economy will also affect retail gasoline prices, which make up a large proportion of the inflation basket, he said.

On the supply side, raw food is showing inflationary signs, following higher demand and damage related to the climate, while other prices were quite stable and moved in line with an increase in production and logistics costs as well as the baht depreciation, said Mr Ronnarong.

Representations of cryptocurrencies Bitcoin, Ethereum, Dogecoin, Ripple and Litecoin are placed on PC motherboard in this illustration. REUTERS

DIGITAL ASSET BOOM

Regulators are expected to implement rules governing digital assets to minimise possible risk to the financial system, while large local banks and corporations have been getting involved in digital asset investment in line with positive growth in the market.

The popularity of cryptocurrencies has attracted a specific group of investors, largely speculators hoping for outsized returns in a short time from investing in digital currencies, both globally and locally.

According to the Securities and Exchange Commission (SEC), the number of crypto traders surged to 1.77 million accounts as of October 2021, rising significantly from around 700,000 accounts in 2020.

Several firms now allow customers to pay for goods and services using digital currencies, starting with the property sector, followed by others including retail businesses.

However, the Bank of Thailand has made it clear it does not support the use of digital assets as a means of payment for goods and services because they are associated with high price volatility and risks in terms of cyber theft and money laundering, which could be detrimental to merchants, businesses and consumers.

The central bank, in coordination with the SEC and other relevant agencies, is considering guidelines to regulate the use of digital assets as a means of payment for goods and services to limit the risks.

Although the idea of digital assets becoming a mainstream payment method is still a long way off, their role as a fundraising and lending instrument was strengthened in 2021 by the proliferation of initial coin offerings, decentralised finance (DeFi), and game DeFi.

An electric vehicle charges at Motor Expo 2021.Pattarapong Chatpattarasill

CRYPTOCURRENCY WAVE

The global and Thai cryptocurrency markets are expected to continue attracting new waves of investors, growing with intensified competition from the entry of several traditional financial institutions this year.

According to data from the SEC, the trading value of cryptocurrencies in Thailand on five digital asset exchanges and a broker surged to 8.16 billion baht as of the end of November 2021, up 181% from 2.9 billion in January 2021.

As Thais gain greater access to the internet and social media, they also gain access to a vast amount of information and knowledge regarding cryptocurrencies, increasing their awareness of the assets.

One hypothesis is more crypto traders were attracted to the market during the pandemic because trading cryptocurrencies became more convenient and suitable to changing lifestyles and evolving technologies.

Traders can open a trading account online and verify their identities through the know-your-customer (KYC) process, then start trading anytime as digital markets never close.

According to Jirayut Srupsrisopa, chief executive and founder of Bitkub Capital Group Holdings, Bitkub has 2 million traders going through the KYC process, while Zipmex has 9,000.

Several commercial banks and financial institutions such as SCBx Group and Kasikornbank hopped on the bandwagon and invested in digital platform startups and digital asset exchanges, making it likely different types of digital tokens and cryptocurrencies could grow this year, according to industry analysts.

Cloud computing is projected to gather momentum in Thailand in 2022.

CASHLESS SOCIETY

Thailand is using less cash for transactions because of collaboration by related parties to develop the county's digital payment platforms. E-payment transactions in Thailand have risen significantly since the implementation of the government's national e-payment project -- PromptPay -- in 2017.

Intensifying competition in mobile banking services has boosted the popularity of the e-payment channel. Banks have waived fees for online transactions, including cash transfers and payments, since March 2018.

The central bank and the local banking industry promoted a QR code payment solution, which has now been expanded to cover cross-border QR payment within Asean.

The Covid-19 outbreak added a catalyst to Thailand's e-payment adoption among consumers, helping people to maintain social distancing during the pandemic.

The central bank also developed a digital payment platform for businesses under its Smart Financial and Payment Infrastructure for Business project. The project builds the country's digital trading ecosystem in three core areas: e-invoices, e-tax invoices and e-payment for businesses, which are expected to be operational in the second half of 2022.

As PromptPay led to a revolution in digital payments for consumers, so will the Smart Financial project for businesses, said Bank of Thailand governor Sethaput Suthiwartnarueput.

Remote work became a trend in part because of the Covid-19 pandemic.

RISE OF EVS

The country's electric vehicle (EV) market looks set to enjoy bright prospects in 2022, with automakers exciting buyers with environmentally friendly models amid global campaigns aimed at reducing carbon dioxide emissions.

More policies to cope with greenhouse gas emissions have been launched by many countries, including Thailand, which should promote investments in EV technology and infrastructure, said Krisda Utamote, president of the Electric Vehicle Association of Thailand (EVAT).

Governments view EV development as part of their efforts to achieve a net-zero goal, a balance between greenhouse gas emissions and absorption, as all types of EVs require less or no fossil fuel.

"The world is promoting technology to make environmentally friendly cars, using them as a key tool to reduce carbon dioxide and other air pollutants," said Mr Krisda.

These environmental concerns, together with a shift towards this generation of cars, is fuelling the growth of the EV industry.

Newcomers in the domestic EV market, including Chinese manufacturer Great Wall Motor, have rolled out cars with novel designs, providing more choices for consumers.

In Thailand, around 3,200 EVs were registered between January and August, 2021, up from 2,999 units recorded for the whole of 2020, according to EVAT.

Plug-in hybrid EVs could be an appropriate choice for most Thais as they allow drivers to travel a considerable distance without worrying about locating an EV charging outlet, said Surasak Suthongwan, executive vice-president of Lexus Group under Toyota Motor Thailand Co.

CLOUD, AI AND CYBERSECURITY

Cloud computing, artificial intelligence (AI) and cybersecurity are projected to gather momentum in Thailand in 2022, while the metaverse is still in its infancy.

Digital transformation is expected to continue among organisations as the pandemic shifts consumer behaviour towards online engagement.

Cloud computing should continue to accelerate, not just in the area of infrastructure as a service, but also through greater adoption of software as a service. Cloud service models featuring pay-per-use or subscriptions are suitable for many corporations with tight budgets.

Meanwhile, cybersecurity spending is expected to surge as enforcement of the Personal Data Protection Act starts in June 2022, which requires organisations to employ sufficient security measures to ward off data breaches.

Industry analysts predict AI will become a common technology adopted by organisations to help make decisions and gain customer insights.

Hyper-automation could be more widely adopted as corporations aim to scale up productivity and rely less on a human workforce to observe social distancing measures, said analysts.

Regarding the metaverse, consultancy McKinsey & Co indicated the value proposition of metaverse for firms could be substantial, including greater touchpoints for connecting with new generations of consumers.

However, the metaverse still requires multiple technologies to be integrated.

There are various trends that could push the metaverse towards long-term growth, such as further penetration of e-commerce, virtual worlds becoming more mainstream, adoption of decentralised technologies and involvement by financial players, according to McKinsey. It is premature to determine how the metaverse will evolve, the company said.

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Anticipating the road ahead - Bangkok Post

Carmakers slashed production. PlayStations got harder to find in stores. Broadband providers faced monthslong delays for internet routers. All of these phenomena and more had a similar cause: an abrupt and cascading shortage of semiconductors. Also known as integrated circuits or more commonly just chips, they may be the tiniest yet most exacting product ever manufactured on a global scale. The combination of cost and difficulty in producing them has fostered a worldwide reliance on two Asian powerhouses Taiwan Semiconductor Manufacturing Co. (TSMC) and South Koreas Samsung Electronics Co. That dependence was brought into stark relief when the Covid-19 pandemic and rising U.S.-China tensions made chips scarce. Hundreds of billions of dollars will be spent in the coming years in a global race to expand production, with geopolitical as well as economic implications.

1. Why are there shortages?

Here are some factors:

* The stay-at-home shift: This pushed chip demand beyond levels projected before the pandemic. Lockdowns spurred growth in sales of laptops to the highest in a decade. Home networking gear, webcams and monitors were snapped up as office work moved out of the office, and Chromebooks were hot for a while as schools shut. Sales also jumped for home appliances, from TVs to air purifiers, that now come with customized chips.

* Fluctuating forecasts: Automakers that cut back drastically early in the pandemic underestimated how quickly car sales would rebound. They rushed to re-up orders late in 2020, only to get turned away because chipmakers were stretched supplying computing and smartphone giants like Apple Inc.

* Stockpiling: PC makers began warning about tight supplies early in 2020. Then around the middle of that year, Huawei Technologies Co. the Chinese smartphone maker that also dominates the global market for 5G networking gear began building up inventory to ensure it could survive U.S. sanctions that were set to cut it off from its primary suppliers. Other companies followed suit, hoping to grab share from Huawei, and Chinas chip imports climbed to almost $380 billion in 2020, up from about $330 billion the previous year.

* Disasters: A bitter cold snap in Texas in February led to power outages that shut semiconductor plants clustered around Austin; it was late March before Samsungs facilities there were back to normal. A plant in Japan belonging to Renesas Electronics Corp., a major provider of automotive chips, was damaged by fire in March, disrupting production for months.

2. Who is affected?

Chip shortages are expected to wipe out $210 billion of sales for carmakers this year, with production of 7.7 million vehicles lost. Never seen anything like it, Elon Musk, Tesla Inc.s chief executive officer, tweeted. Samsung warned that it saw a serious imbalance in supply and demand globally. TSMC forecast the shortages could extend into 2022. Some broadband providers were facing delays of more than a year when ordering internet routers. Apple said in April that supply constraints were crimping sales of iPads and Macs, which it said would knock $3 billion to $4 billion off its third-quarter revenue. In July it added iPhones to the list. Nintendo Co. said that shortages were slowing production of its Switch gaming device. Toyota Motor Corp. suspended output at 14 plants in September.

3. What is a chip?

Its the thing that makes electronic items smart. Made from a material, usually silicon, that semi-conducts electricity, the chip performs a variety of functions. Memory chips, which store data, are relatively simple and are traded like commodities. Logic chips, which run programs and act as the brains of a device, are more complex and expensive. These often carry names like Apple or Nvidia, but those companies are actually just the designers of the semiconductors, which are manufactured in factories called foundries.

4. Why is it so hard to compete?

Manufacturing advanced logic chips requires extraordinary precision, along with huge long-term bets in a field subject to rapid change. Plants cost billions of dollars to build and equip, and they have to run flat-out 24/7 to recoup the investment. But its not just that. A factory also gobbles up enormous amounts of water and electricity and is vulnerable to even the tiniest disruptions, whether from dust particles or distant earthquakes.

5. Who are the big manufacturers?

* TSMC pioneered the foundry business purely manufacturing chips for others with government support in the 1980s and now produces the most-sophisticated chips. Everyone beats a path to its door to get them; its share of the global foundry market is larger than its next three competitors combined.

* Samsung dominates in memory chips and is trying to muscle in on TSMCs gold mine. Its been improving its production technology and winning new orders from companies such as Qualcomm Inc. and Nvidia Corp.

* Intel Corp. is the last U.S. heavyweight in the field, but its business is heavily concentrated in manufacturing its own-brand chips that serve as the central processing unit (CPU) for laptops and desktop computers. Production delays have made it vulnerable to rivals, who are winning share using TSMC to produce their designs. Intel unveiled an ambitious bid in March to regain its manufacturing lead and break into the foundry business by spending $20 billion to build two new factories in Arizona. Its also looking to buy other chipmakers.

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* Smaller manufacturers include the U.S.s GlobalFoundries Inc., Chinas Semiconductor Manufacturing International Corp. (SMIC) and Taiwans United Microelectronics Corp. But theyre at least two to three generations behind TSMCs technology. Famous names such as Texas Instruments, IBM and Motorola, all U.S. companies, have exited or given up trying to keep up with the most advanced manufacturing.

6. Hows the competition going?

The two giants are spending heavily to cement their dominance: TSMC said in April it would ramp up its capital expenditure over the next three years to $100 billion, including about $30 billion on capacity expansion and upgrades in 2021, from a record $17 billion last year. Samsung is earmarking about $151 billion for a decade-long project to catch its Taiwanese rival, part of a broader plan by South Korean companies including SK Hynix Inc. to spend roughly $450 billion to build the worlds largest chipmaking base. China is pushing hard to catch up as part of its efforts to reduce its reliance on U.S. technology, spurred by U.S. moves to restrict access to American intellectual property such as software and gear for designing chips. But China has a long way to go. For instance, in the automotive sector, Chinese chip design companies still arent able to come up with the advanced chips that serve as the brains for todays ever-smarter cars. China pledged again this year to boost spending and drive research into cutting-edge chips as part of its new five-year economic blueprint. While it didnt give specifics, SMIC has announced plans for a $2.35 billion plant with funding from the city of Shenzhen. The facility could begin production by 2022 and eventually churn out each year about half a million 12-inch wafers, which are used to fabricate chips. By comparison, TSMC shipped about 12.4 million such wafers in 2020.

7. What about outside Asia?

The U.S., which still leads the world in chip design, is seeking to encourage companies to build or expand advanced factories domestically to address what Commerce Secretary Gina Raimondo called a risk to national and economic security. In a report released in June, President Joe Biden recommended Congress appropriate at least $50 billion to support semiconductor research and production in the U.S. (A bill that easily passed the Senate the same day included $52 billion.) His administration will play a role in formulating tax incentives for a proposed $12 billion TSMC plant in Arizona and a $17 billion facility Samsung is planning to build in Texas. Similarly, European Union officials are exploring ways to build an advanced semiconductor factory in Europe, possibly with assistance from TSMC and Samsung, as part of its goal to double chip production to 20% of the global market by 2030. The U.K. is investigating California-based Nvidias $40 billion deal to buy British semiconductor designer Arm Ltd. on both national security and antitrust grounds.

8. Wheres the technology headed?

As 5G mobile networks proliferate driving demand for data-heavy video and game streaming and with many people working from home, the need for more powerful, energy-efficient chips is only going to grow. TSMC and Samsung are thus working to make transistors increasingly microscopic so more can fit into a single chip. Even small improvements can deliver substantial cost savings when multiplied across the full scale of something like Amazon Web Services Inc., a cloud computing provider. The rise of artificial intelligence is another force pushing innovation, since AI relies on massive data processing. More efficient designs also will help develop the so-called internet of things a universe of smart or connected devices from phones to light switches to refrigerators.

9. How does Taiwan fit into all this?

The island democracy emerged as the dominant player in part because of a government decision in the 1970s to promote the electronics industry. It was aided by a technology transfer deal with RCA Corp., the former U.S. electronics giant, and the trend in the West toward outsourcing. Matching its scale and skills now would take years and cost a fortune: Boston Consulting Group and the Semiconductor Industry Association estimated it would take more than $1 trillion over 10 years for the U.S. to achieve complete manufacturing self-sufficiency in chips. Chinese President Xi Jinping has plans to invest $1.4 trillion through 2025 in key technologies including semiconductors, and appointed a top deputy to lead the initiative. Political tensions could disrupt the race, however. The Biden administration has signaled it will continue efforts to restrict Chinas access to U.S. technology including that used in Taiwans foundries. More ominously, the U.S. could face difficulties if it found itself cut off from them. China has long claimed the island as a renegade province and threatened to invade to prevent its independence.

The Reference Shelf

A deep dive on how the world got so dependent on Taiwan for its chips.

More QuickTakes on the internet of things, why building an electric car is so expensive, and Taiwans tightrope.

Bloomberg Opinions Anjani Trivedi examines the long-term costs of chip shortcuts, Alex Webb warns about a European white elephant chip plant, and Tim Culpan covers TSMCs expansion challenge in 10 charts and says SMIC is on the wrong path.

The Economist sees the geopolitical struggle over chipmaking entering a new phase.

With assistance by Paul Geitner, Yuan Gao, and Vlad Savov

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Why the world is short of computer chips, and why it matters? - The Indian Express

Theres no single, perfect cloud architecture or infrastructure. All clouds require operating systemslike Linuxbut the cloud infrastructure can include a variety of bare-metal, virtualization, or container software that abstract, pool, and share scalable resources across a network. This is why clouds are best defined by what they do rather than what theyre made of. Youve created a cloud if youve set up an IT system that:

You can build a private cloud on your own or use prepackaged cloud infrastructure like OpenStack, and there are thousands of cloud providers all over the world. Here are some of the most popular:

Creating a hybrid cloud requires some degree of workload portability, orchestration, and management. Application programming interfaces (APIs) and virtual private networks (VPNs) have been the standard ways to create these connections. Many of the major cloud providers even give customers a preconfigured VPN as part of their subscription packages:

Another way of creating a hybrid cloud is to simply run the same operating system in every environment and build container-based, cloud-native apps that are managed by a universal orchestration engine like Kubernetes. The operating system abstracts all the hardware while the management platform abstracts all the apps. So you deploy almost any app in almost any environment without retooling the app, retraining people, splitting management, or sacrificing security.

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Understanding cloud computing - Red Hat

BOSTON & SAN FRANCISCO--(BUSINESS WIRE)--Battery Ventures, a global investment firm that backs cloud companies, has for the fifth year revealed the 25 Highest-Rated Public Cloud-Computing Companies To Work For, as well as the 25 Highest-Rated Private Cloud-Computing Companies To Work For, with data specifically provided to Battery from Glassdoor*. The lists highlight technology companies with exemplary company culturesand satisfied employeesat a time when many corporate workplaces remain in flux due to remote work and changing workplace expectations, many triggered by the lingering effects of the Covid-19 pandemic.

The companies on both lists represent those where employees report the highest levels of satisfaction at work, according to employee feedback shared on Glassdoor, a worldwide leader on insights about jobs and companies.

This year, B2B SaaS company 6sense*, which uses data and artificial intelligence to help companies improve their sales and marketing efforts, ranked #1 on the private-company list. Call- and contact-center software company Five9 won the top spot among the public companies.

One in five of the public-company winners, including Five9, operate broadly in collaboration software, an increasingly important tool as more employees work remotely, or in hybrid environments. The other public collaboration-company winners were Asana (#6), Atlassian (#13), Zoom (#16) and monday.com (#17).

Many of the public and private winners appear to be embracing the remote-work trend themselves: At 84% of the private companies, half or fewer employees work in the same state where their company is headquartered, according to LinkedIn data. Among the public-company winners, the figure was 72%.

As we near the end of the second year of the pandemic, it remains clear that positive company cultureand corporate transparencyare more important than ever, particularly as remote work raises the bar in terms of overall employee experience and, in many cases, makes it easier for people to change jobs, said Neeraj Agrawal, a Battery Ventures general partner who specializes in cloud investing. The cloud companies on our lists represent a bright spot in this increasingly dynamic employment landscapeand are modeling best practices that often translate into business success.

At top-ranked private company 6sense, employees on Glassdoor praised the companys empathetic leadership, non-bureaucratic culture and focus on work-life balance, which became critical during the pandemic. Indeed, the company gave employees multiple three-day weekends over the summer and has instituted twice-monthly, all-hands meetings so employees can connect; hear business, product and customer updates; and celebrate employee milestones. The remote-first company is headquartered in San Francisco with 21% of employees living in the Bay Area, the company says.

Every 6sense team member is a conscious difference-maker: Our people shape our extraordinary culture, build our world-class product, bring innovation to the B2B buying experience, help our customers succeed and directly contribute to our growth, said 6sense CEO Jason Zintak. Our business success speaks volumes about the culture, passion and integrity of our people and our ecosystem of customers and partners.

Batterys Agrawal added that all the innovative companies on this years lists are powering the trend of businesses increasingly turning to the cloud to run critical technology systems and softwarea trend that continues to accelerate during the Covid-19 period. The highest-rated companies on both lists sell cloud technology in a range of areas, including sales-and-marketing, collaboration, cybersecurity, development tools and finance.

Seven of the winners from last years private-company listCouchbase, Unity, Asana, Sprinklr*, C3.ai, Freshworks and GitLabhave staged initial-public offerings since then.

To qualify for the list, private cloud companies were required to have 200 or more employees; at least 30 employee reviews on Glassdoor during the 12-month collection period; and have raised funding since July 2017. Public companies required at least $500 million in total enterprise value as of the end of the third quarter of 2021, according to CapIQ. (A more detailed explanation of the list methodology is below.)

The reports also include data from Glassdoor on how employees rate their companies senior leadership teams and gauge their views on how their companies businesses will perform in the next six months (though these additional data points did not impact the overall company ratings or rankings).

"In a job market filled with opportunities for professionals, cultivating great company culture is essential to attracting and keeping great talent," said Glassdoor CEO Christian Sutherland-Wong. "Companies who consistently prioritize transparency and put their employees first often have the advantage in a competitive hiring landscape."

For reporting simplicity, the company ratings below are rounded to the nearest hundredth of a point, though actual calculations extend beyond the thousandth decimal place to determine rank. The ratings are based on a five-point scale, with 1.0 denoting very dissatisfied, 3.0 indicating OK and 5.0 signaling very satisfied.

Many third-party studies show that companies with high employee satisfaction often post stronger financial performance.

Here are the highest-rated public and private cloud-computing companies to work for lists. The public list includes only the top 10 companies. Full lists of the 25 Highest-Rated Public Cloud-Computing Companies and the 25 Highest-Rated Private Cloud-Computing Companies can be found here.

Top 10 Highest-Rated Public Cloud Computing Companies To Work For:

Rank

Company

OverallCompanyRating

SeniorLeadershipApproval Rating

CEO Name

% PositiveBizOutlook

1

Five9

4.76

4.52

Rowan Trollope

95.57%

2

nCino

4.69

4.65

Pierre Naud

93.67%

3

Sprout Social

4.68

4.58

Justyn Howard

96.67%

4

Couchbase

4.65

4.44

Matt Cain

95.31%

5

DigitalOcean

4.65

4.55

Yancey Spruill

88.00%

6

Asana

4.65

4.57

Dustin Moskovitz

93.07%

7

SentinelOne

4.60

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Cloud Investor Battery Ventures Reveals the 25 Highest-Rated Public and 25 Highest-Rated Private Cloud-Computing Companies To Work For - Business Wire

Nowadays, you cant produce an effects-heavy movie without a high performance computing (HPC) system. HPC has played a critical role in diverse pursuits like generating photo-realistic images, modeling the structure of human genome, simulating the movement of weather, and searching for oil and gas.

However, most HPC resources are only utilized by major entities. It is difficult for smaller projects and organizations to set up these cutting-edge facilities because of hefty upfront costs and high technical threshold.

But that is changing, as processing power is moving onto the cloud and becoming available to anyone with an internet connection. Following the same path of development for personal computers and servers over the past decades, the cloud is breaking down barriers to entry for small organizations that require HPC. Cloud-based solutions now help businesses of all sizes to perform critical simulations and batch calculations, and allow many startups to innovate in emerging technology sectors even if they have limited budgets.

GridMarkets is a software company that helps consumers wield cloud HPC capabilities without breaking the bank. It developed a product that renders animation, visual effects, and drug discovery simulations, so that enterprises and small teams can produce content that is on par with big-budget productions.

A decade ago, Mark Ross and Hakim Karim, the founders of GridMarkets, noticed that the demand for computing power and data transaction volumes was escalating dramatically in various sectors. This was particularly true for the media and entertainment industry, as the visual effects were becoming increasingly realistic. They established GridMarkets in 2011 to meet the rising demand for HPC.

The startup aims to democratize creativity by opening access to high-caliber computational resources. This specifically addresses the needs of small studios that struggle with mounting infrastructure costs and complex cloud solutions.

GridMarkets serves students like George Simms, a graduate student majoring in computational arts. GridMarkets student deal made it affordable for him to render his final project and the quick turnaround meant his piece was ready before the deadline.

GridMarkets as a platform provided a super quick and easy way to develop the project, letting me go way beyond my hardware restraints and push out tests quickly for fast project development. The focus remains on the content and creation instead of the rendering limitations, said Simms.

The startups service reduces two weeks rendering time to just hours, co-founder Hakim Karim told KrASIA. To trim overhead, GridMarkets does not own or maintain any hardware. It partners with major cloud providers such as Alibaba Cloud, Oracle Cloud, and Lancium so that the cost of running cloud computing is reduced by as much as 70%.

Customers pay for the exact processing capacity that they need. This eliminates the necessity of going through the complex process of setting up infrastructure on the cloud, paying rent for computing power, and calculating the time needed for computation. Altogether, this saves the time and effort for 2o steps, said Karim.

So far, GridMarkets has kept a low profile. The company is backed by several angel investors and has focused mainly on optimizing its product in the past decade.

Going forward, GridMarkets aims to move beyond visualizations for pharma and entertainment, Karim told KrASIA. The company is developing plug-ins for other professional tools in fields like financial services, academic research, and biotech, following the development of HPC being applied in a wide range of industries.

The company plans to scale up services for suppliers and consumers of computational resources. GridMarkets has formed partnerships with Pixar, SideFX, Maxon, Chaos Group, and Autodeskro to source rendering licenses. It offers discounts to students and researchers attached to specific institutions and universities. Currently, GridMarkets has more than 50,000 registered users across 110 countries.

GridMarkets was one of the ten finalists of the Alibaba Cloud x KrASIA Global Startup Accelerator Hong Kong Demo Day that was held on December 14. It was named as the Asia Star of the event alongside Vika, an enterprise software developer.

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GridMarkets democratizes creativity on the cloud to generate detailed visualizations - KrASIA

SAN FRANCISCO, Dec. 14, 2021 Rescale, a leading cloud high performance computing (HPC) platform enabling digital R&D and engineering, and Japans RIKEN today announced a partnership agreement for the use of the supercomputer Fugaku in the cloud. Under the partnership, Rescale and RIKEN will conduct a new research project: Rescale ScaleX on Supercomputer Fugaku.

The companies began a feasibility study of technical collaboration earlier this year with the aim to expand the use and to improve the accessibility and useability convenience of Fugakus Cloud computing platform. The partnership will enable Fugakus platform, one of thetop 500 most powerful supercomputers in the world, to be more accessible to commercial uses in the cloud.

By leveraging Rescales intelligent computing for digital R&D and engineering, the new cloud-based service, Fugaku Cloud Platform, enables commercial users to access the computing resources of Fugaku, allowing them to take advantage of the powerful computing infrastructure and capabilities of Fugaku in an easier and more user-friendly way.

RIKENs expertise in supercomputing operations, combined with Rescales intelligent cloud HPC service technology, will provide businesses a new way of using Fugakus world-class research services.

About Fugaku

Fugaku was jointly developed by RIKEN and Fujitsu Ltd. as a core system of the Innovative High Performance Computing Infrastructure (HPCI) promoted by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) of Japan and started to be shared in March 2021. As part of this effort, RIKEN will develop and operate the Fugaku Cloud Platform on a trial basis starting in FY2020, and verify its effectiveness in preparation for full scale operation. The results obtained from the trial will be used to examine the system for full scale operation. For more information, please visithttps://www.rccs.riken.jp/fugaku/fcp.

About Rescale

Rescale(@rescaleinc) is the leading intelligent computing platform for digital R&D. With AI-enabled automation, Rescale empowers organizations to achieve engineering breakthroughs faster and more efficiently through automation, performance optimization, and R&D collaboration. Over 400 customers, from startups to Fortune 50 enterprises, use Rescale to accelerate design cycles and commercialize new product innovations. Rescale empowers scientists and engineers outcome-based SLAs, while providing enterprise IT & HPC teams policy-based security and control on their cloud infrastructure of choice.

Source: Rescale

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Rescale and Riken Sign Partnership for Using Fugaku Supercomputer in the Cloud - HPCwire

The study throws light on the Cloud Computing Platform as a Service (PaaS) market by primarily focusing on the growth factors and even the restraining factors. The restraining factors are also provided with the best solutions which also turn out to counteract the inconvenience and help to increase the market demand. The applications, types, technology, and much other segmentation are studied to give in-depth knowledge of the continued investment in the market. The major driving forces behind the Cloud Computing Platform as a Service (PaaS) market are explained to help give an idea of a detailed analysis of this market.

The Cloud Computing Platform as a Service (PaaS) Market is expected to grow at a CAGR of 5.0% during the forecast period 2021-2026.

Main companies in the global Cloud Computing Platform as a Service (PaaS) market: Cloudflare, IBM Cloud, Oracle, Salesforce, Google, ServiceNow, Apache Stratos, Windows Azure, AWS, OpenShift, Plesk, Zoho Creator, Red Hat, VMware, SAP and others.

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Cloud Computing Platform as a Service (PaaS) Market Research And Global Outlook 2021 to 2025 - Fightin For Philly

Accelerating advances in quantum computing are serving as powerful reminders that the technology is rapidly advancing toward commercial viability. In just the past few months, for example, a research center in Japan announced a breakthrough in entangling qubits (the basic unit of information in quantum, akin to bits in conventional computers) that could improve error correction in quantum systems and potentially make large-scale quantum computers possible. And one company in Australia has developed software that has shown in experiments to improve the performance of any quantum-computing hardware.

As breakthroughs accelerate, investment dollars are pouring in, and quantum-computing start-ups are proliferating. Major technology companies continue to develop their quantum capabilities as well: companies such as Alibaba, Amazon, IBM, Google, and Microsoft have already launched commercial quantum-computing cloud services.

Of course, all this activity does not necessarily translate into commercial results. While quantum computing promises to help businesses solve problems that are beyond the reach and speed of conventional high-performance computers, use cases are largely experimental and hypothetical at this early stage. Indeed, experts are still debating the most foundational topics for the field (for more on these open questions, see sidebar, Debates in quantum computing).

Still, the activity suggests that chief information officers and other leaders who have been keeping an eye out for quantum-computing news can no longer be mere bystanders. Leaders should start to formulate their quantum-computing strategies, especially in industries, such as pharmaceuticals, that may reap the early benefits of commercial quantum computing. Change may come as early as 2030, as several companies predict they will launch usable quantum systems by that time.

To help leaders start planning, we conducted extensive research and interviewed 47 experts around the globe about quantum hardware, software, and applications; the emerging quantum-computing ecosystem; possible business use cases; and the most important drivers of the quantum-computing market. In the report Quantum computing: An emerging ecosystem and industry use cases, we discuss the evolution of the quantum-computing industry and dive into the technologys possible commercial uses in pharmaceuticals, chemicals, automotive, and financefields that may derive significant value from quantum computing in the near term. We then outline a path forward and how industry decision makers can start their efforts in quantum computing.

An ecosystem that can sustain a quantum-computing industry has begun to unfold. Our research indicates that the value at stake for quantum-computing players is nearly $80 billion (not to be confused with the value that quantum-computing use cases could generate).

Because quantum computing is still a young field, the majority of funding for basic research in the area still comes from public sources (Exhibit 1).

Exhibit 1

However, private funding is increasing rapidly. In 2021 alone, announced investments in quantum-computing start-ups have surpassed $1.7 billion, more than double the amount raised in 2020 (Exhibit 2). We expect private funding to continue increasing significantly as quantum-computing commercialization gains traction.

Exhibit 2

Hardware is a significant bottleneck in the ecosystem. The challenge is both technical and structural. First, there is the matter of scaling the number of qubits in a quantum computer while achieving a sufficient level of qubit quality. Hardware also has a high barrier to entry because it requires a rare combination of capital, experience in experimental and theoretical quantum physics, and deep knowledgeespecially domain knowledge of the relevant options for implementation.

Multiple quantum-computing hardware platforms are under development. The most important milestone will be the achievement of fully error-corrected, fault-tolerant quantum computing, without which a quantum computer cannot provide exact, mathematically accurate results (Exhibit 3).

Exhibit 3

Experts disagree on whether quantum computers can create significant business value before they are fully fault tolerant. However, many say that imperfect fault tolerance does not necessarily make quantum-computing systems unusable.

When might we reach fault tolerance? Most hardware players are hesitant to reveal their development road maps, but a few have publicly shared their plans. Five manufacturers have announced plans to have fault-tolerant quantum-computing hardware by 2030. If this timeline holds, the industry will likely establish a clear quantum advantage for many use cases by then.

The number of software-focused start-ups is increasing faster than any other segment of the quantum-computing value chain. In software, industry participants currently offer customized services and aim to develop turnkey services when the industry is more mature. As quantum-computing software continues to develop, organizations will be able to upgrade their software tools and eventually use fully quantum tools. In the meantime, quantum computing requires a new programming paradigmand software stack. To build communities of developers around their offerings, the larger industry participants often provide their software-development kits free of charge.

In the end, cloud-based quantum-computing services may become the most valuable part of the ecosystem and can create outsize rewards to those who control them. Most providers of cloud-computing services now offer access to quantum computers on their platforms, which allows potential users to experiment with the technology. Since personal or mobile quantum computing is unlikely this decade, the cloud may be the main way for early users to experience the technology until the larger ecosystem matures.

Most known use cases fit into four archetypes: quantum simulation, quantum linear algebra for AI and machine learning, quantum optimization and search, and quantum factorization. We describe these fully in the report, as well as outline questions leaders should consider as they evaluate potential use cases.

We focus on potential use cases in a few industries that research suggests could reap the greatest short-term benefits from the technology: pharmaceuticals, chemicals, automotive, and finance. Collectively (and conservatively), the value at stake for these industries could be between roughly $300 billion and $700 billion (Exhibit 4).

Exhibit 4

Quantum computing has the potential to revolutionize the research and development of molecular structures in the biopharmaceuticals industry as well as provide value in production and further down the value chain. In R&D, for example, new drugs take an average of $2 billion and more than ten years to reach the market after discovery. Quantum computing could make R&D dramatically faster and more targeted and precise by making target identification, drug design, and toxicity testing less dependent on trial and error and therefore more efficient. A faster R&D timeline could get products to the right patients more quickly and more efficientlyin short, it would improve more patients quality of life. Production, logistics, and supply chain could also benefit from quantum computing. While it is difficult to estimate how much revenue or patient impact such advances could create, in a $1.5 trillion industry with average margins in earnings before interest and taxes (EBIT) of 16 percent (by our calculations), even a 1 to 5 percent revenue increase would result in $15 billion to $75 billion of additional revenues and $2 billion to $12 billion in EBIT.

Quantum computing can improve R&D, production, and supply-chain optimization in chemicals. Consider that quantum computing can be used in production to improve catalyst designs. New and improved catalysts, for example, could enable energy savings on existing production processesa single catalyst can produce up to 15 percent in efficiency gainsand innovative catalysts may enable the replacement of petrochemicals by more sustainable feedstock or the breakdown of carbon for CO2 usage. In the context of the chemicals industry, which spends $800 billion on production every year (half of which relies on catalysis), a realistic 5 to 10 percent efficiency gain would mean a gain of $20 billion to $40 billion in value.

The automotive industry can benefit from quantum computing in its R&D, product design, supply-chain management, production, and mobility and traffic management. The technology could, for example, be applied to decrease manufacturing processrelated costs and shorten cycle times by optimizing elements such as path planning in complex multirobot processes (the path a robot follows to complete a task) including welding, gluing, and painting. Even a 2 to 5 percent productivity gainin the context of an industry that spends $500 billion per year on manufacturing costswould create $10 billion to $25 billion of value per year.

Finally, quantum-computing use cases in finance are a bit further in the future, and the advantages of possible short-term uses are speculative. However, we believe that the most promising use cases of quantum computing in finance are in portfolio and risk management. For example, efficiently quantum-optimized loan portfolios that focus on collateral could allow lenders to improve their offerings, possibly lowering interest rates and freeing up capital. It is earlyand complicatedto estimate the value potential of quantum computingenhanced collateral management, but as of 2021, the global lending market stands at $6.9 trillion, which suggests significant potential impact from quantum optimization.

In the meantime, business leaders in every sector should prepare for the maturation of quantum computing.

Until about 2030, we believe that quantum-computing use cases will have a hybrid operating model that is a cross between quantum and conventional high-performance computing. For example, conventional high-performance computers may benefit from quantum-inspired algorithms.

Beyond 2030, intense ongoing research by private companies and public institutions will remain vital to improve quantum hardware and enable moreand more complexuse cases. Six key factorsfunding, accessibility, standardization, industry consortia, talent, and digital infrastructurewill determine the technologys path to commercialization.

Leaders outside the quantum-computing industry can take five concrete steps to prepare for the maturation of quantum computing:

Leaders in every industry have an uncommon opportunity to stay alert to a generation-defining technology. Strategic insights and soaring business value could be the prize.

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Quantum computing use cases are getting real--what you need to know - McKinsey