Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.
Higher Education Tools market was valued at USD 16470 million in 2021 and is expected to reach USD 33520 million by the year 2028, at a CAGR of 10.43%.
Higher Education Tools market was valued at USD 16470 million in 2021 and is expected to reach USD 33520 million by the year 2028, at a CAGR of 10.43%.
Global Software as a Service Market was estimated at USD 80.61 Billion in 2021, and is projected to reach USD 259.84 Billion by 2028, growing at a CAGR of 18.2 % over the analysis period.
Global E-learning Market size was valued at USD 304.38 Billion in 2022 and is projected to reach USD 653.89 Billion by 2030, growing at a CAGR of 10.03% during the forecast period.
Human Resource Management Software Market size is projected to reach USD 32.47 Billion by 2028 from USD 15.94 Billion in 2021, at a CAGR of 10.7% globally.
The Global E-Discovery Software Market was valued at USD 12.96 billion in 2021 and is expected to reach USD 32.03 billion by the year 2028, at a CAGR of 13.80%. The Analysis Period 2023-2030.
The Global Cybersecurity Market Size Was Valued at USD 133.13 Billion In 2021, And Is Projected to Reach USD 254.20 Billion By 2028, Growing at A CAGR of 9.68% From 2022 To 2028.
Global Internet of Things (IoT) Market size was valued at USD 156.58 Billion in 2021, and is projected to reach USD 693.94 Billion by 2028, growing at a CAGR of 23.7% from 2022 to 2028.
Higher Education Tools market was valued at USD 16470 million in 2021 and is expected to reach USD 33520 million by the year 2028, at a CAGR of 10.43%.
Higher Education Tools market was valued at USD 16470 million in 2021 and is expected to reach USD 33520 million by the year 2028, at a CAGR of 10.43%.
Global Software as a Service Market was estimated at USD 80.61 Billion in 2021, and is projected to reach USD 259.84 Billion by 2028, growing at a CAGR of 18.2 % over the analysis period.
Global E-learning Market size was valued at USD 304.38 Billion in 2022 and is projected to reach USD 653.89 Billion by 2030, growing at a CAGR of 10.03% during the forecast period.
Human Resource Management Software Market size is projected to reach USD 32.47 Billion by 2028 from USD 15.94 Billion in 2021, at a CAGR of 10.7% globally.
The Global E-Discovery Software Market was valued at USD 12.96 billion in 2021 and is expected to reach USD 32.03 billion by the year 2028, at a CAGR of 13.80%. The Analysis Period 2023-2030.
The Global Cybersecurity Market Size Was Valued at USD 133.13 Billion In 2021, And Is Projected to Reach USD 254.20 Billion By 2028, Growing at A CAGR of 9.68% From 2022 To 2028.
Global Internet of Things (IoT) Market size was valued at USD 156.58 Billion in 2021, and is projected to reach USD 693.94 Billion by 2028, growing at a CAGR of 23.7% from 2022 to 2028.
The Global Identity as a Service (IDaaS) Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2022-2028, Considering The Base Year As 2021.
The Global Managed Cloud as a Service Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2023-2030, Considering The Base Year As 2022.
The Global Managed Cloud as a Service Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2023-2030, Considering The Base Year As 2022.
The Global Data Center Management as a Service Market Is Expected To Grow At A Significant Growth Rate Over The Forecast Period 2022-2028, Considering Base Year As 2021.
The global applicant tracking system market generated revenue of US$ 1.0 billion in 2020 and is expected to reach US$ 1.5 billion by 2025 with a CAGR of 8.0% in the forecast period. The applicant tracking system market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global applicant tracking system market. In qualitative terms, the applicant tracking system market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of applicant tracking system in various segments such as by component, deployment model, enterprise size and industry at global, regional, and country-level. In addition, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The Global IOT Payments Market size is expected to grow from USD 258.18 billion in 2022 to USD 14886.31 billion by 2030, at a CAGR of 66% during the forecast period (2023-2030).
The global autonomous data platform market generated revenue of US$ 827.6 million in 2020 and is expected to reach US$ 2,093.4 million by 2025 with a CAGR of 20.4% in the forecast period. The autonomous data platform market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global autonomous data platform market. In qualitative terms, the autonomous data platform market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of the autonomous data platform in various segments such as by component, deployment model, enterprise size, application & industry at global, regional, and country-level. Also, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The global geographic information system market is to increase from US$ XX.X million in 2020 to US$ XX.X million by 2025 with a compound annual growth rate (CAGR) of XX.X% for the period 2020-2025. Growing implementation of GIS analytics, integration of location-based mapping systems with business intelligence systems and growing role of GIS in smart cities ecosystems are some of the driving factor accelerated the demand for geographic information system market.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
The Global Identity as a Service (IDaaS) Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2022-2028, Considering The Base Year As 2021.
The Global Managed Cloud as a Service Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2023-2030, Considering The Base Year As 2022.
The Global Managed Cloud as a Service Market Is Expected To Grow At A Significant Growth Rate, And The Analysis Period Is 2023-2030, Considering The Base Year As 2022.
The Global Data Center Management as a Service Market Is Expected To Grow At A Significant Growth Rate Over The Forecast Period 2022-2028, Considering Base Year As 2021.
The global applicant tracking system market generated revenue of US$ 1.0 billion in 2020 and is expected to reach US$ 1.5 billion by 2025 with a CAGR of 8.0% in the forecast period. The applicant tracking system market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global applicant tracking system market. In qualitative terms, the applicant tracking system market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of applicant tracking system in various segments such as by component, deployment model, enterprise size and industry at global, regional, and country-level. In addition, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The Global IOT Payments Market size is expected to grow from USD 258.18 billion in 2022 to USD 14886.31 billion by 2030, at a CAGR of 66% during the forecast period (2023-2030).
The global autonomous data platform market generated revenue of US$ 827.6 million in 2020 and is expected to reach US$ 2,093.4 million by 2025 with a CAGR of 20.4% in the forecast period. The autonomous data platform market report offers a comprehensive market analysis of the different segments and regions that lets readers make crucial business-related decisions with a wealth of information enclosed in this report. The research report offers both qualitative and quantitative information on the global autonomous data platform market. In qualitative terms, the autonomous data platform market report provides insights into numerous factors, such as market determinants, value chain analysis, emerging trends, growth opportunity analysis, porters five-force model analysis and macro-economic factors, segment analysis, regional analysis at a granular level. Similarly, in quantitative terms, the report provides historical and forecast market numbers of the autonomous data platform in various segments such as by component, deployment model, enterprise size, application & industry at global, regional, and country-level. Also, the report provides a detailed analysis of the market vendors and their product offerings. The report also covers details of the competitive market environment and includes information on the capabilities and competencies of market vendors.
The global geographic information system market is to increase from US$ XX.X million in 2020 to US$ XX.X million by 2025 with a compound annual growth rate (CAGR) of XX.X% for the period 2020-2025. Growing implementation of GIS analytics, integration of location-based mapping systems with business intelligence systems and growing role of GIS in smart cities ecosystems are some of the driving factor accelerated the demand for geographic information system market.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
PHP Frameworks: I want to break free (IPC Berlin 2024)
Machine Learning.docx.pdf
1. GLOBAL Machine Learning Market: RESEARCH
REPORT, 2023-2030
Market Value:
• 2021 = USD 10.38 billion
• 2028 = USD 112.18 billion
• CAGR = 40.5%
Date Published: January 2023
Publisher: Introspective Market Research
2. Machine Learning Market
www.introspectivemarketresearch.com IMR 2023
Annual Market Size and Forecast
Technological Roadmap & Regulatory Landscape
Analysis on type and applications
Industry Value Chain Analysis
Analysis on Major Trends
Key strategies by Top Market Players
Market Share Analysis 2021
REPORT OUTCOMES
3. Machine Learning Market
www.introspectivemarketresearch.com IMR 2023
Global Machine Learning Market was valued at USD 10.38 billion in 2021 and is
expected to reach USD 112.18 billion by the year 2028, at a CAGR of 40.5%.
Machine learning is nothing but part of artificial intelligence (AI). It allows the system to learn
automatically and get improved from experience. This technology works on a specific program
that can access, process, and analyse different data, and learn new things from that data.
Machine learning executes specific tasks smartly and correctly. Machine learning helps
computers or programs learn from examples or data. Pre-programmed rules are not required
for process operations in machine learning. The main aim of machine learning is to develop
independent programs for computers to learn automatically without any interference from
human assistance or intervention.
The global Machine Learning Market report provides comprehensive market information,
including classifications, definitions, and market analysis. This also helps with the awareness
of various item specifics, the manufacturing cycle, the supply chain, and the cost structure.
Along these lines, the understanding of the project's structural squares and key drivers of
development is enhanced. To estimate the market size, boundaries such as import and fare,
rules in various nations, inflation, legal and political variables, financial elements, and other
minor aspects inside organizations have been broken down. The research examines the
competitive landscape as well as the most current positions of major rivals in the Machine
Learning industry.
Major Key Players Covered Machine Learning Market: -
• Amazon Web Services Inc (US)
• Baidu Inc (China)
• BigML Inc (US)
• Fair Isaac Corporation (US)
• Google LLC (US)
• H2Oai(US)
• Hewlett Packard Enterprise Development LP (HPE) (US)
• IBM Corporation (US)
• Intel Corporation (US)
• Microsoft Corporation (US)
• SAP SE (Germany)
• SAS Institute Inc (US) and other major players.
Request for Sample: -
https://introspectivemarketresearch.com/request/14557
Segmentation of Machine Learning Market: -
By Type
• Cloud
• On-Premises
By Application
• BFSI
4. Machine Learning Market
www.introspectivemarketresearch.com IMR 2023
• Healthcare and Life Sciences
• Retail
• Telecommunication
• Government and Defense
• Manufacturing
• Energy and Utilities
By Region
• North America (US, Canada, Mexico)
• Eastern Europe (Bulgaria, The Czech Republic, Hungary, Poland, Romania, Rest
of Eastern Europe)
• Western Europe (Germany, UK, France, Netherlands, Italy, Russia, Spain, Rest
of Western Europe)
• Asia Pacific (China, India, Japan, South Korea, Malaysia, Thailand, Vietnam, The
Philippines, Australia, New Zealand, Rest of APAC)
• Middle East & Africa (Turkey, Bahrain, Kuwait, Saudi Arabia, Qatar, UAE,
Israel, South Africa)
• South America (Brazil, Argentina, Rest of SA)
Covid-19 Impact Analysis On Machine Learning Market
The COVID-19 pandemic shows differences in the demand for machine learning in 2020. The
application of artificial intelligence and machine learning technology is expected to help
combat the COVID-19 pandemic. Multiple countries are using population surveillance
methods to track and trace COVID-19 cases. For instance, in South Korea, researchers use
surveillance camera footage and geo-location data to track coronavirus patients.
Table of content: -
Chapter 1: Introduction
Chapter 2: Executive Summary
Chapter 3: Growth Opportunities by Segment
Chapter 4: Market Landscape
Chapter 5: Machine Learning Market by Type
Chapter 6: Machine Learning Market by Component
Chapter 7: Machine Learning Market by End-User
Chapter 8: Company Profiles and Competitive Analysis
Chapter 9: Global Machine Learning Market Analysis, Insights and Forecast, 2016-2028
To be continue…
Pick Up This Report: -
https://introspectivemarketresearch.com/checkout/?user=1&_sid=14557
Recently Published Reports:
6. Machine Learning Market
www.introspectivemarketresearch.com IMR 2023
Table of Content: -
Chapter 1: Introduction
1.1 Research Objectives
1.2 Research Methodology
1.3 Research Process
1.4 Scope and Coverage
1.4.1 Market Definition
1.4.2 Key Questions Answered
1.5 Market Segmentation
Chapter 2:Executive Summary
Chapter 3:Growth Opportunities By Segment
3.1 By Type
3.2 By Application
Chapter 4: Market Landscape
4.1 Porter's Five Forces Analysis
4.1.1 Bargaining Power of Supplier
4.1.2 Threat of New Entrants
4.1.3 Threat of Substitutes
4.1.4 Competitive Rivalry
4.1.5 Bargaining Power Among Buyers
4.2 Industry Value Chain Analysis
4.3 Market Dynamics
4.3.1 Drivers
4.3.2 Restraints
4.3.3 Opportunities
4.5.4 Challenges
4.4 Pestle Analysis
4.5 Technological Roadmap
4.6 Regulatory Landscape
4.7 SWOT Analysis
4.8 Price Trend Analysis
4.9 Patent Analysis
4.10 Analysis of the Impact of Covid-19
4.10.1 Impact on the Overall Market
4.10.2 Impact on the Supply Chain
4.10.3 Impact on the Key Manufacturers
4.10.4 Impact on the Pricing
Chapter 5: Machine Learning Market by Type
5.1 Machine Learning Market Overview Snapshot and Growth Engine
5.2 Machine Learning Market Overview
5.3 Cloud
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size (2016-2028F)
5.3.3 Key Market Trends, Growth Factors and Opportunities
5.3.4 Cloud: Grographic Segmentation
7. Machine Learning Market
www.introspectivemarketresearch.com IMR 2023
5.4 On-Premises
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size (2016-2028F)
5.4.3 Key Market Trends, Growth Factors and Opportunities
5.4.4 On-Premises: Grographic Segmentation
Chapter 6: Machine Learning Market by Application
6.1 Machine Learning Market Overview Snapshot and Growth Engine
6.2 Machine Learning Market Overview
6.3 BFSI
6.3.1 Introduction and Market Overview
6.3.2 Historic and Forecasted Market Size (2016-2028F)
6.3.3 Key Market Trends, Growth Factors and Opportunities
6.3.4 BFSI: Grographic Segmentation
6.4 Healthcare and Life Sciences
6.4.1 Introduction and Market Overview
6.4.2 Historic and Forecasted Market Size (2016-2028F)
6.4.3 Key Market Trends, Growth Factors and Opportunities
6.4.4 Healthcare and Life Sciences: Grographic Segmentation
6.5 Retail
6.5.1 Introduction and Market Overview
6.5.2 Historic and Forecasted Market Size (2016-2028F)
6.5.3 Key Market Trends, Growth Factors and Opportunities
6.5.4 Retail: Grographic Segmentation
6.6 Telecommunication
6.6.1 Introduction and Market Overview
6.6.2 Historic and Forecasted Market Size (2016-2028F)
6.6.3 Key Market Trends, Growth Factors and Opportunities
6.6.4 Telecommunication: Grographic Segmentation
6.7 Government and Defense
6.7.1 Introduction and Market Overview
6.7.2 Historic and Forecasted Market Size (2016-2028F)
6.7.3 Key Market Trends, Growth Factors and Opportunities
6.7.4 Government and Defense: Grographic Segmentation
6.8 Manufacturing
6.8.1 Introduction and Market Overview
6.8.2 Historic and Forecasted Market Size (2016-2028F)
6.8.3 Key Market Trends, Growth Factors and Opportunities
6.8.4 Manufacturing: Grographic Segmentation
6.9 Energy and Utilities
6.9.1 Introduction and Market Overview
6.9.2 Historic and Forecasted Market Size (2016-2028F)
6.9.3 Key Market Trends, Growth Factors and Opportunities
6.9.4 Energy and Utilities: Grographic Segmentation
Chapter 7: Company Profiles and Competitive Analysis
7.1 Competitive Landscape
7.1.1 Competitive Positioning
7.1.2 Machine Learning Sales and Market Share By Players
7.1.3 Industry BCG Matrix
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7.1.4 Ansoff Matrix
7.1.5 Machine Learning Industry Concentration Ratio (CR5 and HHI)
7.1.6 Top 5 Machine Learning Players Market Share
7.1.7 Mergers and Acquisitions
7.1.8 Business Strategies By Top Players
7.2 AMAZON WEB SERVICES INC
7.2.1 Company Overview
7.2.2 Key Executives
7.2.3 Company Snapshot
7.2.4 Operating Business Segments
7.2.5 Product Portfolio
7.2.6 Business Performance
7.2.7 Key Strategic Moves and Recent Developments
7.2.8 SWOT Analysis
7.3 BAIDU INC
7.4 BIGML INC
7.5 FAIR ISAAC CORPORATION
7.6 GOOGLE LLC
7.7 H2OAI
7.8 HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP (HPE)
7.9 IBM CORPORATION
7.10 INTEL CORPORATION
7.11 MICROSOFT CORPORATION
7.12 SAP SE
7.13 SAS INSTITUTE INC
7.14 OTHER MAJOR PLAYERS
Chapter 8: Global Machine Learning Market Analysis, Insights and Forecast, 2016-2028
To Be Continued…
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This research study involved the extensive usage of both primary and secondary data
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