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Dublin, June 30, 2020 (GLOBE NEWSWIRE) -- The "Digital Transformation Asia Pacific: 5G, Artificial Intelligence, Internet of Things, and Smart Cities in APAC 2020 - 2025" report has been added to ResearchAndMarkets.com's offering.

From predicting what will happen with 5G technology in the next few years to identifying how 5G will transform business, this report is must-have research for any ICT company looking to expand business within the region. This report represents the most comprehensive research available focused on the role and impact of 5G, AI, and IoT technologies in Asia Pac. It also provides an analysis about how these technologies will have a positive feedback loop effect with smart cities.

This report identifies market opportunities for deployment and operations of key technologies within the Asia Pac region. While the biggest markets China, Korea, and Japan often get the most attention, it is important to also consider the fast-growing ASEAN region including Indonesia, Malaysia, Philippines, Singapore, Thailand, Brunei, Laos, Myanmar, Cambodia, and Vietnam. In fact, many lessons learned in leading Asia Pac countries will be applied to the ASEAN region. By way of example, H3C Technologies Co. is planning to offer a comprehensive digital transformation platform within Thailand that includes core cloud and edge computing, big data, interconnectivity, information security, IoT, AI, and 5G solutions.

The AI segment is currently very fragmented, characterized with most companies focusing on silo approaches to solutions. Longer-term, researchers see many solutions involving multiple AI types as well as integration across other key areas such as the Internet of Things (IoT) and data analytics. AI is expected to have a big impact on data management. However, the impact goes well beyond data management as we anticipate that these technologies will increasingly become part of every network, device, application, and service.

Data analytics at the edge of networks is very different from centralized cloud computing as data is contextual (example: collected and computed at a specific location) and may be processed in real-time (e.g. streaming data) via big data analytics technologies. Edge Computing represents an important ICT trend in which computational infrastructure is moving increasingly closer to the source of data processing needs. This movement to the edge does not diminish the importance of centralized computing such as is found with many cloud-based services. Instead, computing at the edge offers many complementary advantages including reduced latency for time-sensitive data, lower capital costs, and operational expenditures due to efficiency improvements.

For both core cloud infrastructure and edge computing equipment, the use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. Real-time data will be a key value proposition for all use cases, segments, and solutions. The ability to capture streaming data, determine valuable attributes, and make decisions in real-time will add an entirely new dimension to service logic. In many cases, the data itself, and actionable information will be the service.

Many industry verticals will be transformed through AI integration with enterprise, industrial, and consumer product and service ecosystems. It is destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery, and support models. The term for AI support of IoT (or AIoT) is just beginning to become part of the ICT lexicon as the possibilities for the former adding value to the latter are only limited by the imagination.

AI, IoT, and 5G will provide the intelligence, communications, connectivity, and bandwidth necessary for highly functional and sustainable smart cities market solutions. These technologies in combination are poised to produce solutions that will dramatically transform all aspects of ICT and virtually all industry verticals undergoing transformation through AI integration with enterprise, industrial, and consumer product and service ecosystems. The convergence of these technologies will attract innovation that will create further advancements in various industry verticals and other technologies such as robotics and virtual reality.

In addition, these technologies are destined to become an integral component of business operations including supply chains, sales, and marketing processes, product and service delivery, and support models. There will be a positive feedback loop created and sustained by leveraging the interdependent capabilities of AI, IoT, and 5G (e.g. a term coined as AIoT5G). For example, AI will work in conjunction with IoT to substantially improve smart city supply chains. Metropolitan area supply chains represent complex systems of organizations, people, activities, information, and resources involved in moving a product or service from supplier to customer.

Smart cities in particular represent a huge market for Asia Pac digital transformation through a combination of solutions deployed urban environments that are poised to transform the administration and support of living and working environments. Accordingly, Information and Communications Technologies (ICT) are transforming at a rapid rate, driven by urbanization, the industrialization of emerging economies, and the specific needs of various smart city initiatives. Smart city development is emerging as a focal point for growth drivers in several key ICT areas including 5G, AI, IoT, and the convergence of AI and IoT known as the Artificial Intelligence of Things or simply AIoT.

Sustainable smart city technology deployments depend upon careful planning and execution as well as monitoring and adjustments as necessary. For example, feature/functionality must be blended to work efficiently across many different industry verticals as smart cities address the needs of disparate market segments with multiple overlapping and sometimes mutually exclusive requirements. This will stimulate the need for both cross-industry coordination as well as orchestration of many different capabilities across several important technologies.

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Key Topics Covered

1. Executive Summary

2. Introduction2.1 Digital Transformation in Asia Pac2.2 Technology-Driven Transformation2.2.1 Fifth Generation (5G) Cellular2.2.2 Artificial Intelligence2.2.3 Edge Computing2.2.4 Internet of Things2.2.5 Artificial Intelligence of Things

3. 5G Market Outlook3.1 Evolution of LTE to 5G Networks3.1.1 LTE Advanced3.1.2 Peer-to-Peer Communications: LTE Direct3.1.3 LTE Advanced Pro3.1.4 5G Network Deployment3.2 5G Infrastructure3.3 5G Capabilities3.3.1 Scalability for Machine Communications3.3.2 Optimizing Network, Application, and Service Needs3.4 5G Applications and Services3.4.1 Enhanced Mobile Broadband3.4.2 Ultra-reliable Low-latency Communications3.4.3 Massive Machine-type Communications

4. Artificial Intelligence Market Outlook4.1 AI Technology Matrix4.1.1 Machine Learning4.1.2 Natural Language Processing4.1.3 Computer Vision4.1.4 Speech Recognition4.1.5 Context-Aware Processing4.1.6 Artificial Neural Networks4.1.7 Predictive APIs4.1.8 Autonomous Robotics4.2 AI Technology Readiness4.3 Machine Learning APIs4.3.1 IBM Watson API4.3.2 Microsoft Azure Machine Learning API4.3.3 Google Prediction API4.3.4 Amazon Machine Learning API4.3.5 BigML4.3.6 AT&T Speech API4.3.7 Wit.ai4.3.8 AlchemyAPI4.3.9 Diffbot4.3.10 PredictionIO4.3.11 General Application Environment4.4 AI Technology Goals4.5 AI Tools and Approaches4.6 Emotion Detection with AI4.6.1 Facial Detection APIs4.6.2 Text Recognition APIs4.6.3 Speech Recognition APIs4.7 IoT Application and Big Data Analytics4.8 Data Science and Predictive Analytics4.9 AI in Edge Computing and 5G Networks4.10 Cloud Computing and Machine Learning4.11 Smart Machine and Virtual Twinning4.12 Factory Automation and Industry 4.04.13 Building Automation and Smart Workplace4.13.1 Cloud Robotics and Public Security4.14 Self-Driven Network and Domain-Specific Network4.15 Predictive 3D Design4.16 Market Solutions and Application Analysis4.16.1 AI Market Landscape4.16.2 AI Application Delivery Platform4.16.3 AIaaS and MLaaS4.16.4 Enterprise Adoption and External Investment4.16.5 Enterprise AI Drive Productivity Gains4.16.6 AI Patent and Regulatory Framework4.16.7 Value Chain Analysis4.16.8 IoT Ecosystem4.16.9 AI Use Case Analysis4.16.10 Competitive Landscape Analysis

5. Internet of Things Market Outlook5.1 IoT Overview5.2 IoT Technology5.3 IoT Functional Structure5.4 IoT Network Architecture5.5 Economic Impact Analysis5.6 Market Factors and Challenges5.7 Machine Learning and other forms of Artificial Intelligence5.8 The Artificial Intelligence of Things5.9 Edge Computing and Fog Computing5.10 Digital Twin Technology5.11 5G to Drive Substantial IoT Network Expansion

6. Artificial Intelligence of Things Market Outlook6.1 The Artificial Intelligence of Things6.2 AIoT Market Analysis6.2.1 Equipment and Components6.2.2 Cloud Equipment and Deployment6.2.3 3D Sensing Technology6.2.4 Software and Data Analytics6.2.5 AIoT Platforms6.2.6 Deployment and Services6.3 AIoT Sub-Markets6.3.1 Supporting Device and Connected Objects6.3.2 IoT Data as a Service6.3.3 AI Decisions as a Service6.3.4 APIs and Interoperability6.3.5 Smart Objects6.3.6 Smart City Considerations6.3.7 Industrial Transformation6.3.8 Cognitive Computing and Computer Vision6.3.9 Consumer Appliances6.3.10 Domain-Specific Network Considerations6.3.11 3D Sensing Applications6.3.12 Predictive 3D Design6.4 AIoT Supporting Technologies6.4.1 Cognitive Computing6.4.2 Computer Vision6.4.3 Machine Learning Capabilities and APIs6.4.4 Neural Networks6.4.5 Context-Aware Processing6.5 AIoT Enabling Technologies and Solutions6.5.1 Edge Computing6.5.2 Blockchain Networks6.5.3 Cloud Technologies6.5.4 5G Technologies6.5.5 AIoT Digital Twin Technology and Solutions6.5.6 Smart Machines6.5.7 Cloud Robotics6.5.8 Predictive Analytics and Real-Time Processing6.5.9 Post Event Processing6.5.10 Haptic Technology

7. Digital Transformation in Asia Pac Market Analysis and Forecasts7.1 LTE and 5G Services in Asia Pacific7.1.1 LTE and 5G Services in APAC 2020-20257.1.2 LTE and 5G Services in APAC by Country 2020-20257.2 AI Technology in Asia Pacific7.2.1 AI Chipsets in Asia Pac 2020-20257.2.2 AI Technology in Asia Pacific 2020-20257.2.3 AI Technology in Asia Pacific by Country7.3 IoT Technology in Asia Pacific7.3.1 IoT Technology in APAC 2020-20257.3.2 IoT Technology in Asia Pacific by Country 2020-20257.4 AIoT Technology in Asia Pacific7.4.1 AIoT Technology in Asia Pacific 2020-20257.4.2 AIoT in APAC by Technology and Solution 2020-2025

8. Summary and Conclusions8.1 Transformation of ICT Networks8.2 Broadband Evolution is a Key Factor8.3 The Rise of Private Wireless Networks8.4 The Rise of Edge Networking and Computing8.5 Optimizing Data Management is Crucial8.6 Digital Transformation in Manufacturing and Industrial Automation

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Asia-Pacific Digital Transformation Market Study 2020-2025 - The COVID-19 Pandemic is Merely a Speed Bump in the Road - GlobeNewswire

The research report on eLearning Localization Service market provides a detailed assessment of this business landscape. As per the report, the market is expected to generate substantial profit and showcase a notable growth rate of XX% during the analysis timeframe.

The report gives detailed insights regarding market segmentations, volume of sales, market competition trend, growth opportunities, predicted revenue generation, major manufacturers, and dealers. The report also emphasizes on the market risks and constraints. Additionally, the report includes various scenarios to assess the impact of COVID-19 on the growth of the eLearning Localization Service market.

Also, the research report underlines the key aspects of eLearning Localization Service market like the current revenue and production stats and estimates the upcoming prospects during the analysis period.

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Detailing the regional analysis of the eLearning Localization Service market:

The report includes a thorough geographical analysis of this market bifurcating it into North America, Europe, Asia-Pacific, South America, Middle East & Africa, South East Asia.

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Overview:Along with a broad overview of the global eLearning Localization Service market, this section gives an overview of the report to give an idea about the nature and contents of the research study.

Analysis of Strategies of Leading Players:Market players can use this analysis to gain a competitive advantage over their competitors in the eLearning Localization Service market.

Study on Key Market Trends:This section of the report offers a deeper analysis of the latest and future trends of the market.

Market Forecasts:Buyers of the report will have access to accurate and validated estimates of the total market size in terms of value and volume. The report also provides consumption, production, sales, and other forecasts for the eLearning Localization Service market.

Regional Growth Analysis:All major regions and countries have been covered in the report. The regional analysis will help market players to tap into unexplored regional markets, prepare specific strategies for target regions, and compare the growth of all regional markets.

Segmental Analysis:The report provides accurate and reliable forecasts of the market share of important segments of the eLearning Localization Service market. Market participants can use this analysis to make strategic investments in key growth pockets of the market.

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eLearning Localization Service Market Research Growth by Manufacturers, Regions, Type and Application, Forecast Analysis to 2025 - Express Journal

Over the next three months, the company doubled subscription sales. Students now spend 90 minutes every day on the platform, up from an hour earlier. Selling has become easier for its 200-strong sales force. Instead of explaining the concept of online education to customers, all the company needs to do now is to convince them how were better than others," Lido Learning CEO Sahil Sheth said.

Another startup, Vedantu, which is the market leader for live classes within K-12 (kindergarten to XII grade), was overwhelmed by the flood of new customers in early April, triggering an acute shortage of teaching assistants. Instead of 300-400 students in every class, the companys teachers were now instructing 1,000 students. In May, 1 million students took live classes on Vedantu, up from 200,000 in normal times.

Only a small fraction of these were paid users, but monthly revenues still jumped by more than three times from January, CEO Vamsi Krishna said. What was happening in a years time in terms of growth happened in three months time," he said.

The pandemic-driven expansion in online education has been so broad that its hard to find an education startup that hasnt followed a similar trajectory. From market leaders to smaller startups, entrepreneurs are certain that this is the defining moment for the sector.

Education has always had a quasi-religious importance in India, as a degree is seen as the only means to prosperity. With schools and colleges shut, entrance exam schedules in disarray, offline classes inaccessible, parents and students are fretting about the future even more than usual, prompting them to try out online tuitions like never before.

Usually, when a new category is being created, companies have to spend hundreds of millions of dollars on advertising over 8-10 years to get customers to shift from offline to online. In the case of edtech, this is happening super-fast because of the lockdown and because all the schools have gone online," Lido Learnings Sheth said.

Entrepreneurs and investors tend to divide the online education market into two segments: K-12 and post K-12. Both segments, which in turn have many specialized verticals, were anyway growing rapidly. The pandemic has greatly accelerated this expansion. By 2022, the K-12 market will expand by six times to about $1.7 billion, while the post K-12 market will increase by about four times to $1.8 billion, according to estimates by RedSeer Consulting.

On cue, investors are lining up to pick up stakes in education startups. Byjus, Unacademy and Vedantu, three prominent education startups, are all raising large quantities of capital at soaring valuations. More than a dozen smaller startups, including Lido Learning and WhiteHat Jr, are in talks to raise anywhere between $5-50 million.

The most exciting feature of this sectoral boom is the hope that apart from rapid growth it could yield something that has eluded other sunrise sectors: profitability. If education firms avoid destroying their fat margins in the race for users, they could leapfrog their bigger and older internet peers in generating shareholder returns.

However, it is far from certain if the education startups can continue unimpeded towards realizing their promise. The flood of new capital is already prompting companies to rush into new categories, binge on marketing and hire freelybehaviour that tends to lead to value destruction. And while the pandemic has brought millions of news users online, its impossible to predict how many of them will stick over time.

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The landscape

Online education is a far more varied sector compared with other internet businesses, but the biggest categories are naturally those linked to better job prospects. Hence, within K-12, the most popular categories are math, science and English. There are firms that teach coding to children, provide doubt-solving services, and have platforms for extracurricular activities.

The post K-12 category is even more diverse although it has two large segments: higher education and test-preparation, which includes tests for engineering colleges, Union Public Service Commission (UPSC), the Common Admission Test (CAT). Separately, there are B2B startups that sell software to coaching institutes and schools to enable their digital operations.

According to data with Tracxn, more than 500 education startups have received angel or institutional funding in the past decade in the K-12 and post K-12 categories. Dozens more are expected to crop up this year. To be sure, most education startups arent trying to replace schools and colleges; they are trying to shift the offline tuition market online.

Since India has an acute shortage of qualified teachers, especially in smaller cities and towns, a majority of online customers come from tier II cities and below. For instance, non-metro cities account for more than 70% of the paying subscribers at Vedantu. In metros, standardized content and the convenience of being able to learn from homes draw users.

Though customers are spread out geographically, a majority of them are upper or middle-income families, as subscriptions tend to be pricey, ranging typically between 12,000-30,000 annually in K-12; fees are even higher in post K-12.

Now, some startups are finally trying to sell to lower-income families. (This segment) will require a completely different product, completely different pedagogy, and a very simplified UI (user interface) like WhatsApp and TikTok," said Aditya Singhal, co-founder of Instasolv, a new startup that plans to cater primarily to lower-income students in tier III cities and below. And the product will have to be delivered in vernacular languages rather than English."

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The likely winners

In the crowded field, some clear market leaders have emerged: Byjus and Vedantu in the K-12 category and Unacademy in the exam preparation market for older students. Already, there are clear signs that the three companies are seeing a sharp acceleration in growth, further pulling away from the rest of the market in K-12 and test-preparation.

In March, Byjus saw a dip in revenues, as many of the companys salespeople were unable to meet potential customers in person. But after an advertising blitz, monthly revenues jumped to 375 crore in May and will be close to 500 crore in June, more than double the pre-covid levels, chief strategy officer Anita Kishore said. From introducing courses in vernacular languages to launching more subjects, we will continue to strengthen our offerings and penetrate further into India to address learning needs of all students. Given the current demand, we plan on accelerating several launches this year," Kishore said.

Last week, Byjus, the only edtech unicorn at present, raised capital at a valuation of $10.5 billion, up from $8 billion just four months ago. If the company, which is also expanding in the US and other international markets, keeps up its momentum, it will surpass Paytm, valued at $16 billion, as Indias most valuable internet startup. Unacademy and Vedantu, valued at $500 million and $300 million, respectively, are expected to join Byjus in the unicorn club soon. All the top players are getting enormous inbound interest from investors," Vedantus Krishna said.

In addition to raising large amounts of capital, Byjus, Unacademy and Vedantu are buying up smaller edtech firms. And though the edtech market has two distinct categories, Byjus and Unacademy are trying to straddle both. New capital will not only intensify competition between the top players but also see a bunch of smaller verticals create niches.

What helps the cause of the verticals is that edtech is unlike e-commerce or transportation or food delivery where duopolies have emerged on the back of disproportionate capital, leaving very little room for others to build even mid-size businesses. That ed tech already has a proliferation of mid-size companies is proof of this. Under-the-radar companies like Great Learning, a technology learning platform that hasnt raised venture funding, can boast of annual revenues of hundreds of crore of rupees.

Students learn in different waysapart from learning categories, even learning formats vary. For instance, some startups offer live classes, some recorded, and some both. Live learning can be one teacher per student or one teacher for many students, and so on. This inherent variety in the way lessons are imparted and learnt means that one or two platforms cannot build dominant positions to the extent that their peers in other internet niches have, entrepreneurs and investors said.

There are two distinct student profiles based on the seriousness of students, according to Lido Learnings Sheth. One, from classes I-IX, where students are not dead serious about education. The other category comprises students in XI-XII and beyond, a phase in which they get increasingly serious about their careers. These two categories necessarily require different treatment.

Its just not possible" for any single firm to take up more than 15-20% of the market in edtech, unless they keep buying companies, said Akshay Chaturvedi, CEO of Leverage Edu, a higher education startup. Within a single category like K-12 or post K-12, a single student tends to use multiple platforms at the same time. The variety is too much for one company to offer everything," he said.

Karthik Reddy, managing partner at Blume Ventures, an early-stage investment firm, added that over the next two years, there could be as many as 15 mid-sized and large education platforms backed by venture capital. Beyond the next two years, its impossible to predict how the sector will evolve because itll depend on whether all these companies are able to show real profits," Reddy said.

Post-pandemic scenario

While Indias consumer internet startups have raised tens of billions of dollars over the past six years, most of them are nowhere near profitabilityapart from Byjus. In the year ended 31 March 2019, the company reported a standalone net profit of 20 crore on revenues of 1,341 crore (it still reported a net loss on a consolidated basis). The next year, Byjus revenues doubled to 2,800 crore (its latest bottom-line figure is not yet available).

That Byjus achieved profitability just four years after becoming an online platform (it had started out as an offline tuition centre) shows that edtech is potentially a profit mine. Gross margins in education range between 50-70%, many times higher than spaces like e-commerce or food delivery, where logistics operations and spending on discounts eat up cash.

Education is not a discounting play. Despite the increase in competition, theres been no need to lower price points as people are more than willing to pay for quality," Lido Learnings Sheth said. The entrepreneur profile in the sector is different too. Many founders have spent close to a decade or more in the space, establishing a collective expertise that few of their internet peers can boast of.

To be sure, edtech startups wont have it so easy forever.

Once the pandemic passes, many users may simply go back to offline coaching, preferring the in-person interactions that are thought to be crucial for holistic learning. Plus, offline coaching classes are scrambling to go digital, and a few of them are bound to find success.

Startups may also soon face competition from international firms like ByteDances TikTok as well as Reliance Jio, which has been expanding in the sector in both K-12 and post K-12, mostly through its acquisition of Embibe. Jio has also bought two other edtech startups, OnlineTyari and Funtoot, and plans to continue buying more companies in the space.

For now, investors remain confident that edtech will buck the trend of other internet booms and produce profitable companies, provided that most entrepreneurs limit their ambitions.

Big companies like Byjus and Unacademy can afford to take risks and splurge cash because they have unlimited capital, but the others will need to show more discipline," an edtech investor said, on condition of anonymity.

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The hope and hype driving online education - Livemint

Covina, CA, June 29, 2020 (GLOBE NEWSWIRE) -- The global smart healthcare market accounted for US$ 151 billion in 2019 and is estimated to be US$ 717.9 billion by 2029 and is anticipated to register a CAGR of 17.0%

Ongoing trend observed in the global market is the rising adoption of electronic records and smart pills, owing to its benefits such as continuous health monitoring and record keeping. This trend is projected to continue over the forecast period.

The report"Global Smart Healthcare Market, By Product Type (Smart Syringes, Smart Pills, Smart RFID Cabinets, Electronic Health Care, Telemedicine, and Others), By Industrial Vertical (Health Data Storage and Exchange, Monitoring and Treatment, and Inventory Management), By End-user (Hospitals, Home Care Settings, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa) - Trends, Analysis and Forecast till 2029.

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Rising participation from the industry players

Growing participation from the industry players is projected to boost the target market growth. For instance, in April 2020, Phillip launched a new application for the care manager acuity-based scoring tools to monitor patient conditions to detect any adverse trends or deteriorations related to COVID-19. Likewise, in March 2020, Siemens Healthineers introduced Teamplay digital health platform. It is aimed to help healthcare by offering digital transformation and eases quick access to operational and clinical solutions. Further, in April 2020, Proxxi, a Canadian firm introduced a wearable device, Halo. This device is manufactured to safeguard compliance with social distancing at a workplace during the ongoing global COVID-19 pandemic. This device would continually guide separation to ensure proper social distancing.

Supportive government programs

Supportive government programs are expected to propel the growth in the global market. For instance, in March 2020, the Quebec government in collaboration with the Canadian Medical Association (CMA) had planned to enlarge the access of telehealth services across different provinces of Canada such as Alberta, British Columbia, New Brunswick, Ontario, Manitoba, Newfoundland and, and others. Such challenges are projected to lead the forefront of digital patient-oriented healthcare services worldwide. Additionally, in March 2020, the NHS U.K. fortified first-tier medical institutions to utilize telemedicine to decrease the spread of COVID-19. Furthermore, the NHS is forecasting to implement telemedicine services by decreasing face-to-face consultation.

Browse 60 market data tables* and 35figures* through 140 slides and in-depth TOC on Global Smart Healthcare Market, By Product Type (Smart Syringes, Smart Pills, Smart RFID Cabinets, Electronic Health Care, Telemedicine, and Others), By Industrial Vertical (Health Data Storage and Exchange, Monitoring and Treatment, and Inventory Management), By End-user (Hospitals, Home Care Settings, and Others), and By Region (North America, Europe, Asia Pacific, Latin America, and the Middle East & Africa) - Trends, Analysis and Forecast till 2029

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The global smart healthcare market accounted for US$ 151 billion in 2019 and is estimated to be US$ 717.9 billion by 2029 and is anticipated to register a CAGR of 17.0%. The market report has been segmented on the basis of product type, industrial vertical, end-user, and region.

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Competitive Landscape:

The prominent player operating in the global smart healthcare market includes AirStrip Technologies, Inc., McKesson Corporation, Apple Inc., AT&T, Inc., Brooks Automation, Cerner Corporation, Cisco, Allscripts Healthcare Solutions, GE Healthcare, and Hurst Green Plastics, Ltd.

The market provides detailed information regarding the industrial base, productivity, strengths, manufacturers, and recent trends which will help companies enlarge the businesses and promote financial growth. Furthermore, the report exhibits dynamic factors including segments, sub-segments, regional marketplaces, competition, dominant key players, and market forecasts. In addition, the market includes recent collaborations, mergers, acquisitions, and partnerships along with regulatory frameworks across different regions impacting the market trajectory. Recent technological advances and innovations influencing the global market are included in the report.

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Global Smart Healthcare Market is expected to create lucrative opportunities for key players due to growing technological advancements such as...

Dublin, June 30, 2020 (GLOBE NEWSWIRE) -- The "Digital Identity Infrastructure and Services Market by Asset Type, Deployment Type, Organization Type and Industry Vertical 2020-2025" report has been added to ResearchAndMarkets.com's offering.

This report assesses the digital identity management market including the concepts, key challenges, future trends and analysis of the key market players and solutions. This research evaluates the current state and future outlook of identity management solutions and services with a focus on leading technical approaches, technologies, companies, and solutions. This includes opportunities in emerging areas such as the Identity of Thing (IDoT) and IoT identity managed services. The report includes forecasts for all major areas from 2020 to 2025.

Managing identities and access control for enterprise applications remains one of the greatest challenges facing IT today. While an enterprise may be able to leverage several cloud computing services without a good identity and access management strategy, in the long run extending an organization's identity services into the cloud is a necessary prerequisite for strategic use of on-demand computing services.

Supporting today's rapidly evolving cloud ecosystem requires an honest assessment of an organization's readiness to conduct cloud-based Identity and Access Management (IAM), as well as understanding the capabilities of the organization's cloud computing providers. Today's world of identity management is largely focused on personal, directly human-related activities such as secure access to physical or digital assets. Emerging areas such as wearable technology will play a role in terms of enterprise security and access control.

In addition, the future of ICT will include many more identity-related issues and challenges that pertain to non-human activities such as those autonomous actions that occur on behalf of humans with the Internet of Things (IoT). Therefore, it is critically important to understand the state of Identity Management today so that one can better position for the future of ID Management in an IoT world. It is very important to have a foundational understanding of ID management as it will be a critically important area for the ICT network of the future including IoT, wearable technology, and more.

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1. Executive Summary

2. Digital Identity Overview2.1 Identity Management Attributes2.1.1 Physical vs. Digital Identity2.1.2 Digital Identity Attributes2.1.3 Identity Management Systems2.1.4 Digital Identity Privacy and Security2.2 Digital Identity Market Drivers2.2.1 Communications Service Providers2.2.1.1 Subscriber Data Management2.2.1.1 Caller Identification Management2.2.1.2 Connected Device Identity Management2.2.1.3 Internet of Things Identity Management2.2.2 Enterprise Identity Management2.2.2.1 Access to and Usage of Corporate Assets2.2.2.2 Enterprise Device Identity Management

3. Digital Identity Companies3.1 Abine3.2 Ad Hoc Labs DBA Burner3.3 AdTheorent3.4 Agora Innovation3.5 AID:Tech3.6 AlertEnterprise3.7 Alitheon3.8 AlphaFox Systems Ltd.3.9 Ambisafe3.10 AMI Group3.11 Anchor ID3.12 Apply Mobile3.13 AriadNEXT3.14 ArticSoft3.15 ATOMNAUT3.16 Auth03.17 AU10TIX3.18 AUTHADA3.19 Authenteq3.20 Authentiq3.21 Authomate3.22 Authoriti3.23 Aver3.24 Averon3.25 Avoco3.26 Axuall3.27 BehavioSec3.28 Beyond Identity3.29 BidiPass3.30 BigchainDB GmbH3.31 BIID3.32 Billon3.33 Bio Recognition Systems3.34 BioCatch3.35 Biolink Technologies3.36 Blanco3.37 Blinking3.38 Blockchain Helix AG3.39 Blocknotary3.40 Blockvest3.41 Blue Biometrics3.42 BlueLine Grid3.43 Bluzelle3.44 BMC Software3.45 Bridge Protocol3.46 bridge213.47 B-Secur3.48 Bubbletone3.49 BullGuard3.50 Bynder3.51 Callsign3.52 Cambridge Blockchain3.53 CANARIE3.54 Beam Solutions3.55 Certisign Holding, Inc.3.56 Chainvine3.57 Chekk3.58 Citizen (this.citizen.is)3.59 Civic3.60 Cognito (BlockScore)3.61 COINDAQ3.62 Connective3.63 Connet3.64 Covered Security3.65 Crayonic3.66 Credits (Pythia)3.67 Credntia3.68 CrossVerify Limited3.69 Cymmetria3.70 DACC3.71 Dangerous Things3.72 Danube Tech3.73 Daon3.74 Dashbid3.75 Dashlane3.76 DataChecker3.77 Deep Instinct3.78 Digidentity3.79 Digital Identity Solutions Europe3.80 Digital Signal3.81 DocuSign3.82 Dominode3.83 Duo Security3.84 Dynamis3.85 easyID3.86 Element3.87 Elliptic3.88 Entrust Limited3.89 Erachain3.90 Etive Technologies3.91 Etronika3.92 Euronovate3.93 Evernym3.94 EVRYTHNG3.95 Excalibur3.96 EXOCHAIN3.97 Experian plc.3.98 Extreme Networks3.99 EyeEm3.100 Facebook3.101 Finhaven3.102 Finsphere3.103 First Orion3.104 FitPay3.105 ForgeRock3.106 Forter3.107 GB Group3.108 Gemalto3.109 GenieICO3.110 goSudo3.111 GovCoin Systems3.112 Haps3.113 Heliocor3.114 Hello Soda3.115 High Fidelity3.116 Hiving Technology3.117 Hiya3.118 Homeppl3.119 HooYu3.120 HouseAfrica3.121 Ekata3.122 Idology3.123 Okta3.124 Twilio3.125 I/O Digital3.126 IBM3.127 Iconloop3.128 ID.me3.129 IDEMIA3.130 Identity20203.131 IdentityMind3.132 IDNOMIC3.133 IDnow3.134 ID-Pal3.135 IDScan Biometrics3.136 Imageware Systems3.137 Impinj3.138 Imprivata3.139 InnoValor3.140 Innovate Identity3.141 Inside Secure3.142 INTELid3.143 Intesa3.144 iProov3.145 IPSO MICROELECTRONICS3.146 Isosec3.147 Jolocom3.148 Juru3.149 Juvo3.150 Kairos3.151 Keeps3.152 Keyfactor3.153 Keyp3.154 Know Your Customer3.155 Kompany3.156 Kreditech (Kredito)3.157 KYC Chain3.158 LAB Group3.159 Learning Machine3.160 LifeLock3.161 Lleida.net3.162 Logrr3.163 Loqr3.164 Hermetic Security / LynxGuard3.165 Matchupbox3.166 MessageDoc3.167 MFChain3.168 MIRACL3.169 Mooti LLC3.170 Moqom3.171 MPP Global Solutions3.172 myEGO2GO3.173 Naborly3.174 NEC3.175 Nect3.176 NETKI3.177 Nettoken Ltd.3.178 Network Utilities Systems3.179 Neustar3.180 neXenio3.181 Nexthink3.182 NextTech3.183 Notakey3.184 NquiringMinds3.185 NXT-ID3.186 OneID3.187 Onename3.188 OneVisage3.189 Onfido3.190 Ontology3.191 Passbase3.192 Passfort3.193 Payfone3.194 Peer Mountain3.195 PersonalData.io3.196 Personiq3.197 physiSECURE3.198 Ping Identity3.199 Pinn3.200 Pivot Marketing, Inc.3.201 Pixel Pin3.202 Planned Departure3.203 PokitDok3.204 Post-Quantum3.205 Procivis3.206 Project Radium3.207 PromisePay3.208 ProofofYou3.209 Prosper Marketplace3.210 Provenance3.211 Pulse3.212 Pulse iD3.213 PXL Vision AG3.214 Quovo3.215 Rain Innovation3.216 RaulWalter3.217 Red Lambda3.218 Red Tulip Systems3.219 Refinitiv3.220 Riddle & Code3.221 Rilcoin3.222 Rivetz3.223 SAASPASS3.224 Safelayer Secure Communications3.225 Samsung SDS3.226 Scanovate3.227 Scepia Internet Solutions3.228 Scry3.229 SCYTALE3.230 SecuEra Technologies3.231 Proximitum Software Ltd.3.232 SecureKey Technologies3.233 Sedicii3.234 SelfKey3.235 SettleMint3.236 ShieldPay3.237 ShoCard3.238 Signal3.239 Signicat AS3.240 Signifyd3.241 SilverPush3.242 SimPrints3.243 Smart Token Chain3.244 Smartmatic3.245 Snapswap International S.A3.246 SnowShoe3.247 Socure3.248 Solfyre3.249 SolidX Partners3.250 Soloinsight Inc.3.251 Sonavation3.252 Soramitsu3.253 SpidChain3.254 Satoworldwide3.255 SuperCom Ltd.3.256 Symphonic Software3.257 Synacts GmbH3.258 Syntizen3.259 TAP-ID3.260 Taqanu Bank3.261 Telus3.262 Tessi3.263 Thales Group3.264 The Currency Cloud3.265 The ID Co. (miiCard / DirectID)3.266 Tilkal3.267 Token3.268 Tokenaire3.269 Torus3.270 Transaction Network Services3.271 TransNexus3.272 Travel Appeal3.273 Truecaller3.274 Trulioo3.275 Trusona3.276 Trust Stamp3.277 Trustatom3.278 Trusted Renewables3.279 TrustHub3.280 Trustonic3.281 Tyfone3.282 Tykn3.283 Umanick3.284 Uniken3.285 Uniquid3.286 Uport3.287 Use Design3.288 VALID3.289 Validated ID3.290 VASCO Data Security International, Inc.3.291 Vaultmagic3.292 VChain Technology3.293 Veri5Digital3.294 Veridium3.295 Veriff3.296 Verif-y3.297 Verimuchme3.298 Verisec3.299 VeriSmart3.300 Veuphonic3.301 Viafirma3.302 Vintegris3.303 Visible Health3.304 Vitalidi3.305 Viveat3.306 VIX Verify3.307 VLEndRight3.308 VoiceVault3.309 VU Security3.310 WANDX3.311 WebID Solutions3.312 Wersec3.313 WISeKey3.314 Xceedium3.315 XignSys3.316 Yoti3.317 Youniqx Identity AG3.318 YourBlock3.319 Zighra3.320 Zopa

4. Digital Identity Infrastructure and Services 2020 to 20274.1 Global Digital Identity Infrastructure and Services 2020-20254.2 Digital Identity Infrastructure and Services by Asset Type 2020-20254.3 Digital Identity Infrastructure and Services by Security System Type 2020-20254.4 Digital Identity Infrastructure and Services by Deployment Type 2020-20254.5 Digital Identity Infrastructure and Services by Organization Type 2020-20254.6 Digital Identity Infrastructure and Services 2020-20254.6.1 Digital Identity Infrastructure and Services by Process Type 2020-20254.6.2 Digital Identity Infrastructure and Services by Multifactor Process Type 2020-20254.7 Digital Identity Infrastructure and Services by Industry Type 2020-20254.8 Digital Identity Infrastructure and Services by Region 2020-20254.9 Identity as a Service 2020-20254.9.1 Identity as a Service by Security System Type 2020-20254.9.2 Identity as a Service by Authentication Type 2020-20254.9.3 Biometric Identity as a Service by Authentication Type 2020-2025

5. Conclusions and Recommendations

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Digital Identity Infrastructure & Services Market Outlook to 2025 - A $42.3 Billion Global Opportunity, Driven by Emerging Opportunities such as...