#Data Center Storage Growth Rate

[riya2510]

Data Center Storage Comprehensive Study with Key Trends, Major Drivers and Challenges

Data Center Storage Market Information

The Data Center Storage Market Report provides essential insights for business strategists, offering a comprehensive overview of industry trends and growth projections. It includes detailed historical and future data on costs, revenues, supply, and demand, where applicable. The report features an in-depth analysis of the value chain and distributor networks.

Employing various analytical techniques such as SWOT analysis, Porter’s Five Forces analysis, and feasibility studies, the report offers a thorough understanding of competitive dynamics, the risk of substitutes and new entrants, and identifies strengths, challenges, and business opportunities. This detailed assessment covers current patterns, driving factors, limitations, emerging developments, and high-growth areas, aiding stakeholders in making informed strategic decisions based on both current and future market trends. Additionally, the report includes an examination of the Automatic Rising Arm Barriers sector and its key opportunities.

According to Straits Research, the global Data Center Storage market size was valued at USD XX Billion in 2023. It is projected to reach from USD XX Billion in 2024 to USD XX Billion by 2032, growing at a CAGR of 4.4% during the forecast period (2024–2032).

Get Free Request Sample Report @ https://straitsresearch.com/report/data-center-storage-market/request-sample

TOP Key Industry Players of the Data Center Storage Market

Dell Technologies

IBM Corporation

Buffalo

Hewlett Packard Enterprise Company

FADU

Huawei Technologies Co.LTD.

IBM Corporation

Hitachi Vantara.

Intel

Lenovo

Oracle Corporation

NEC

Toshiba

Violin

Samsung Electronics

ZOTAC.

Global Data Center Storage Market: Segmentation

As a result of the Data Center Storage market segmentation, the market is divided into sub-segments based on product type, application, as well as regional and country-level forecasts. 

By Storage Architecture

NAS

SAN

DAS

By Storage Type

Traditional Storage

All-Flash Storage

Hybrid Storage

By End-User

Cloud/IT Sector

BFSI Sector

Government Sector

Other Sectors

Browse Full Report and TOC @ https://straitsresearch.com/report/data-center-storage-market/request-sample

Reasons for Buying This Report:

Provides an analysis of the evolving competitive landscape of the Automatic Rising Arm Barriers market.

Offers analytical insights and strategic planning guidance to support informed business decisions.

Highlights key market dynamics, including drivers, restraints, emerging trends, developments, and opportunities.

Includes market estimates by region and profiles of various industry stakeholders.

Aids in understanding critical market segments.

Delivers extensive data on trends that could impact market growth.

Research Methodology:

Utilizes a robust methodology involving data triangulation with top-down and bottom-up approaches.

Validates market estimates through primary research with key stakeholders.

Estimates market size and forecasts for different segments at global, regional, and country levels using reliable published sources and stakeholder interviews.

About Straits Research

Straits Research is dedicated to providing businesses with the highest quality market research services. With a team of experienced researchers and analysts, we strive to deliver insightful and actionable data that helps our clients make informed decisions about their industry and market. Our customized approach allows us to tailor our research to each client's specific needs and goals, ensuring that they receive the most relevant and valuable insights.

Contact Us

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Address: 825 3rd Avenue, New York, NY, USA, 10022

Tel: UK: +44 203 695 0070, USA: +1 646 905 0080

[reasonsforhope]

Green energy is in its heyday. 

Renewable energy sources now account for 22% of the nation’s electricity, and solar has skyrocketed eight times over in the last decade. This spring in California, wind, water, and solar power energy sources exceeded expectations, accounting for an average of 61.5 percent of the state's electricity demand across 52 days. 

But green energy has a lithium problem. Lithium batteries control more than 90% of the global grid battery storage market. 

That’s not just cell phones, laptops, electric toothbrushes, and tools. Scooters, e-bikes, hybrids, and electric vehicles all rely on rechargeable lithium batteries to get going. 

Fortunately, this past week, Natron Energy launched its first-ever commercial-scale production of sodium-ion batteries in the U.S. 

“Sodium-ion batteries offer a unique alternative to lithium-ion, with higher power, faster recharge, longer lifecycle and a completely safe and stable chemistry,” said Colin Wessells — Natron Founder and Co-CEO — at the kick-off event in Michigan. 

The new sodium-ion batteries charge and discharge at rates 10 times faster than lithium-ion, with an estimated lifespan of 50,000 cycles.

Wessells said that using sodium as a primary mineral alternative eliminates industry-wide issues of worker negligence, geopolitical disruption, and the “questionable environmental impacts” inextricably linked to lithium mining. 

“The electrification of our economy is dependent on the development and production of new, innovative energy storage solutions,” Wessells said. 

Why are sodium batteries a better alternative to lithium?

The birth and death cycle of lithium is shadowed in environmental destruction. The process of extracting lithium pollutes the water, air, and soil, and when it’s eventually discarded, the flammable batteries are prone to bursting into flames and burning out in landfills. 

There’s also a human cost. Lithium-ion materials like cobalt and nickel are not only harder to source and procure, but their supply chains are also overwhelmingly attributed to hazardous working conditions and child labor law violations. 

Sodium, on the other hand, is estimated to be 1,000 times more abundant in the earth’s crust than lithium. 

“Unlike lithium, sodium can be produced from an abundant material: salt,” engineer Casey Crownhart wrote ​​in the MIT Technology Review. “Because the raw ingredients are cheap and widely available, there’s potential for sodium-ion batteries to be significantly less expensive than their lithium-ion counterparts if more companies start making more of them.”

What will these batteries be used for?

Right now, Natron has its focus set on AI models and data storage centers, which consume hefty amounts of energy. In 2023, the MIT Technology Review reported that one AI model can emit more than 626,00 pounds of carbon dioxide equivalent. 

“We expect our battery solutions will be used to power the explosive growth in data centers used for Artificial Intelligence,” said Wendell Brooks, co-CEO of Natron. 

“With the start of commercial-scale production here in Michigan, we are well-positioned to capitalize on the growing demand for efficient, safe, and reliable battery energy storage.”

The fast-charging energy alternative also has limitless potential on a consumer level, and Natron is eying telecommunications and EV fast-charging once it begins servicing AI data storage centers in June. 

On a larger scale, sodium-ion batteries could radically change the manufacturing and production sectors — from housing energy to lower electricity costs in warehouses, to charging backup stations and powering electric vehicles, trucks, forklifts, and so on. 

“I founded Natron because we saw climate change as the defining problem of our time,” Wessells said. “We believe batteries have a role to play.”

-via GoodGoodGood, May 3, 2024

--

Note: I wanted to make sure this was legit (scientifically and in general), and I'm happy to report that it really is! x, x, x, x

[chemicalmarketwatch-sp]

Exploring the Growing $21.3 Billion Data Center Liquid Cooling Market: Trends and Opportunities

In an era marked by rapid digital expansion, data centers have become essential infrastructures supporting the growing demands for data processing and storage. However, these facilities face a significant challenge: maintaining optimal operating temperatures for their equipment. Traditional air-cooling methods are becoming increasingly inadequate as server densities rise and heat generation intensifies. Liquid cooling is emerging as a transformative solution that addresses these challenges and is set to redefine the cooling landscape for data centers.

What is Liquid Cooling?

Liquid cooling systems utilize liquids to transfer heat away from critical components within data centers. Unlike conventional air cooling, which relies on air to dissipate heat, liquid cooling is much more efficient. By circulating a cooling fluid—commonly water or specialized refrigerants—through heat exchangers and directly to the heat sources, data centers can maintain lower temperatures, improving overall performance.

Market Growth and Trends

The data centre liquid cooling market  is on an impressive growth trajectory. According to industry analysis, this market is projected to grow USD 21.3 billion by 2030, achieving a remarkable compound annual growth rate (CAGR) of 27.6%. This upward trend is fueled by several key factors, including the increasing demand for high-performance computing (HPC), advancements in artificial intelligence (AI), and a growing emphasis on energy-efficient operations.

Key Factors Driving Adoption

1. Rising Heat Density

The trend toward higher power density in server configurations poses a significant challenge for cooling systems. With modern servers generating more heat than ever, traditional air cooling methods are struggling to keep pace. Liquid cooling effectively addresses this issue, enabling higher density server deployments without sacrificing efficiency.

2. Energy Efficiency Improvements

A standout advantage of liquid cooling systems is their energy efficiency. Studies indicate that these systems can reduce energy consumption by up to 50% compared to air cooling. This not only lowers operational costs for data center operators but also supports sustainability initiatives aimed at reducing energy consumption and carbon emissions.

3. Space Efficiency

Data center operators often grapple with limited space, making it crucial to optimize cooling solutions. Liquid cooling systems typically require less physical space than air-cooled alternatives. This efficiency allows operators to enhance server capacity and performance without the need for additional physical expansion.

4. Technological Innovations

The development of advanced cooling technologies, such as direct-to-chip cooling and immersion cooling, is further propelling the effectiveness of liquid cooling solutions. Direct-to-chip cooling channels coolant directly to the components generating heat, while immersion cooling involves submerging entire server racks in non-conductive liquids, both of which push thermal management to new heights.

Overcoming Challenges

While the benefits of liquid cooling are compelling, the transition to this technology presents certain challenges. Initial installation costs can be significant, and some operators may be hesitant due to concerns regarding complexity and ongoing maintenance. However, as liquid cooling technology advances and adoption rates increase, it is expected that costs will decrease, making it a more accessible option for a wider range of data center operators.

The Competitive Landscape

The data center liquid cooling market is home to several key players, including established companies like Schneider Electric, Vertiv, and Asetek, as well as innovative startups committed to developing cutting-edge thermal management solutions. These organizations are actively investing in research and development to refine the performance and reliability of liquid cooling systems, ensuring they meet the evolving needs of data center operators.

Download PDF Brochure : 

The outlook for the data center liquid cooling market is promising. As organizations prioritize energy efficiency and sustainability in their operations, liquid cooling is likely to become a standard practice. The integration of AI and machine learning into cooling systems will further enhance performance, enabling dynamic adjustments based on real-time thermal demands.

The evolution of liquid cooling in data centers represents a crucial shift toward more efficient, sustainable, and high-performing computing environments. As the demand for advanced cooling solutions rises in response to technological advancements, liquid cooling is not merely an option—it is an essential element of the future data center landscape. By embracing this innovative approach, organizations can gain a significant competitive advantage in an increasingly digital world.

[dertaglichedan]

Artificial intelligence needs so much power it’s overwhelming the electrical grid

The artificial intelligence boom has had such a profound effect on big tech companies that their energy consumption, and with it their carbon emissions, have surged.

The spectacular success of large language models such as ChatGPT has helped fuel this growth in energy demand. At 2.9 watt-hours per ChatGPT request, AI queries require about 10 times the electricity of traditional Google queries, according to the Electric Power Research Institute, a nonprofit research firm. Emerging AI capabilities such as audio and video generation are likely to add to this energy demand.

The energy needs of AI are shifting the calculus of energy companies. They’re now exploring previously untenable options, such as restarting a nuclear reactor at the Three Mile Island power plant that has been dormant since the infamous disaster in 1979.

Data centers have had continuous growth for decades, but the magnitude of growth in the still-young era of large language models has been exceptional. AI requires a lot more computational and data storage resources than the pre-AI rate of data center growth could provide.

[lanshengic]

2022 Global Semiconductor Manufacturer Ranking

The report recently released by the market research agency Gartner shows the ranking of the top 25 semiconductor manufacturers in the world and in mainland China, among which Samsung, Intel and Qualcomm are still in the top three.

The data shows that global semiconductor revenue will reach US$599.1 billion in 2022, a slight increase of only 0.2% year-on-year. The total revenue of the top 25 semiconductor manufacturers will increase by 1.9% year-on-year, while the total revenue of "other" companies will decrease by 5.1%.

In terms of manufacturer rankings, Samsung, Intel, Qualcomm, SK Hynix and Micron occupy the top five positions.

From the perspective of revenue growth and decline, ADI’s revenue increased by 46% year-on-year last year, the largest revenue growth rate among the global TOP25 semiconductor manufacturers; the second largest increase is AMD, with an annual increase of 45%, and AMD benefits from embedded, data Growth in the center and gaming business. The biggest loser was Novatek (-23%), followed by Intel (-20%).

Among the TOP25 manufacturers whose main business is storage, their revenue will all decrease in 2022. SK Hynix (-10%), Micron (-6%), Western Digital (-17%), and Samsung's revenue will also decrease by 13% due to the drag of the storage business. %.

In 2022, the revenue of semiconductor companies in mainland China will reach US$45.8 billion, a decrease of 0.5% from the previous year. The global market share will fall from 7.7% in 2021 to 7.6%. It can be seen that semiconductor companies in mainland China will be greatly affected by the market in 2022, and nearly half of the companies' revenue will decline in 2022.

In terms of manufacturer rankings, OMNIVISION, Nexperia, Yangtze Memory Technologies, UniSoC Technologies and GigaDevice Semiconductor rank in the top five.

It is worth noting that HiSilicon (Hisilicon) fell from the fifth position last year to the sixth position, and its revenue also decreased by 18% year-on-year.

Lansheng Technology Limited is a global distributor of electronic components that has been established for more than 10 years, headquartered in Shenzhen China, who mainly focuses on electronic spot stocks. https://www.lanshengic.com/

[globalinsightsservices]

DNA Data Storage Solutions market focuses on technologies and services for encoding, storing, and retrieving digital information using synthetic DNA.

Market Definition

The. DNA Data Storage Solutions market focuses on technologies and services for encoding, storing, and retrieving digital information using synthetic DNA. By harnessing DNA's exceptional storage density and durability, this approach offers a sustainable alternative to traditional methods. The market encompasses DNA synthesis, sequencing, and bioinformatics services, meeting the rising demand for efficient data management across industries such as healthcare, finance, and IT, while paving the way for advancements in data preservation and accessibility.

Market SegmentationTypeIn-vitro DNA Synthesis, In-vivo DNA SynthesisProductDNA Storage Drives, DNA Synthesis Kits, DNA Sequencing Kits, DNA Storage SoftwareServicesData Encoding, Data Decoding, Data Retrieval, Consulting Services, Maintenance ServicesTechnologyNext-Generation Sequencing, Polymerase Chain Reaction, Microarray, CRISPR, Synthetic BiologyComponentDNA Strands, Enzymes, Nucleotides, DNA Synthesizers, DNA SequencersApplicationData Archiving, Data Backup, Data Retrieval, Data Security, BioinformaticsFormLiquid DNA, Solid DNA, Encapsulated DNAMaterial TypeSynthetic DNA, Natural DNA, Hybrid DNAEnd UserBiotechnology Companies, Pharmaceutical Companies, Academic & Research Institutes, IT & Data Centers, Government OrganizationsProcessDNA Synthesis, DNA Sequencing, Data Encoding, Data Decoding

Request Sample: https://www.globalinsightservices.com/request-sample/?id=GIS32614

Research Objectives

Estimates and forecast the overall market size for the total market, across product, service type, type, end-user, and region

Detailed information and key takeaways on qualitative and quantitative trends, dynamics, business framework, competitive landscape, and company profiling

Identify factors influencing market growth and challenges, opportunities, drivers and restraints

Identify factors that could limit company participation in identified international markets to help properly calibrate market share expectations and growth rates

Trace and evaluate key development strategies like acquisitions, product launches, mergers, collaborations, business expansions, agreements, partnerships, and R&D activities

Thoroughly analyze smaller market segments strategically, focusing on their potential, individual patterns of growth, and impact on the overall market

To thoroughly outline the competitive landscape within the market, including an assessment of business and corporate strategies, aimed at monitoring and dissecting competitive advancements.

Identify the primary market participants, based on their business objectives, regional footprint, product offerings, and strategic initiatives

Market Outlook

The DNA data storage market is projected to grow from $1.5 billion in 2023 to $14.0 billion by 2033, achieving a CAGR of 25.0%, underscoring its strong growth potential. In 2023, the market's storage volume was estimated at 120 petabytes, with projections to reach 500 petabytes by 2033. The archival storage segment leads with a 45% market share, followed by cold storage at 30% and active storage at 25%. The dominance of the archival segment is attributed to the rising demand for long-term data preservation and DNA storage's superior density.

Key players, including Microsoft, Twist Bioscience, and Illumina, hold significant market shares and drive innovation to address growing demand. The competitive landscape is shaped by advancements in DNA synthesis and sequencing, with regulatory factors such as data privacy laws and sustainability mandates influencing market strategies. The market is anticipated to grow at an annual rate of 15%, driven by technological progress and declining DNA storage costs.

While challenges include regulatory compliance and technical hurdles, the integration of AI and machine learning into data retrieval processes is expected to create new opportunities and enhance efficiencies, supporting further market expansion.

Major Players

Twist Bioscience

Catalog Technologies

DNA Script

Evonetix

Helixworks

Iridia

Molecular Assemblies

Genomes.io

Ginkgo Bioworks

Ansa Biotechnologies

Nucleic Acid Memory

Cambridge Consultants

Roswell Biotechnologies

DNA Cloud

Xenon Pharmaceuticals

Base4 Innovation

Nuclera Nucleics

Synthomics

Genomatica

Recent advancements

Recent advancements in the DNA data storage market are driving significant changes in market dynamics, including share, size, and pricing. Technological innovations are reducing costs, making DNA storage solutions more accessible. The adoption of CRISPR technology is enhancing data encoding processes, boosting efficiency and reliability. With data generation surging, DNA storage is gaining traction as a sustainable alternative to conventional methods, particularly in sectors like healthcare and finance that require secure, long-term solutions.

Regulatory frameworks are evolving to address data security and privacy, influencing market strategies and entry requirements. For instance, the European Union's strict data protection laws are shaping operational and compliance costs. Collaborations between technology and biotech firms are fostering innovation, with joint efforts focused on scalability and integration with existing IT systems.

Key market trends include the miniaturization of storage devices and the development of hybrid systems that merge DNA and traditional storage technologies, improving data retrieval speed and reliability. Sustainability is also a growing focus, as DNA storage offers a significantly lower carbon footprint compared to traditional data centers. With the exponential growth of data storage needs, the market is positioned for rapid expansion and transformation.

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Research Scope

Scope - Highlights, Trends, Insights. Attractiveness, Forecast

Market Sizing - Product Type, End User, Offering Type, Technology, Region, Country, Others

Market Dynamics - Market Segmentation, Demand and Supply, Bargaining Power of Buyers and Sellers, Drivers, Restraints, Opportunities, Threat Analysis, Impact Analysis, Porters 5 Forces, Ansoff Analysis, Supply Chain

Business Framework - Case Studies, Regulatory Landscape, Pricing, Policies and Regulations, New Product Launches. M&As, Recent Developments

Competitive Landscape - Market Share Analysis, Market Leaders, Emerging Players, Vendor Benchmarking, Developmental Strategy Benchmarking, PESTLE Analysis, Value Chain Analysis

Company Profiles - Overview, Business Segments, Business Performance, Product Offering, Key Developmental Strategies, SWOT Analysis

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With Global Insight Services, you receive:

10-year forecast to help you make strategic decisions

In-depth segmentation which can be customized as per your requirements

Free consultation with lead analyst of the report

Infographic excel data pack, easy to analyze big data

Robust and transparent research methodology

Unmatched data quality and after sales service

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About Us:

Global Insight Services (GIS) is a leading multi-industry market research firm headquartered in Delaware, US. We are committed to providing our clients with highest quality data, analysis, and tools to meet all their market research needs. With GIS, you can be assured of the quality of the deliverables, robust & transparent research methodology, and superior service.

[modulesap]

 SAP Cloud Platform (SCP), now integrated into the SAP Business Technology Platform (SAP BTP), offers extensive scalability options designed to meet the dynamic needs of businesses. These scalability options span across application performance, infrastructure, and integration, ensuring organizations can handle increasing workloads, growing user bases, and expanding business processes efficiently.

1. Horizontal Scaling

Horizontal scaling (or scaling out) involves adding more instances of a service or application to distribute the load effectively. Key features include:

Auto-Scaling: Automatically provisions additional instances based on metrics such as CPU utilization or request rates.

Load Balancing: Distributes workloads across multiple instances to optimize resource utilization and ensure high availability.

Microservices Architecture: Applications can be broken down into smaller, independently scalable components.

2. Vertical Scaling

Vertical scaling (or scaling up) enhances the capacity of existing instances by increasing resources like CPU, memory, or storage. SCP enables this by:

Allowing instance resizing to meet increased demand.

Supporting resource upgrades without affecting application availability in many cases.

3. Global Multi-Cloud and Region Expansion

Multi-Cloud Deployment: SCP supports multiple cloud providers, including AWS, Microsoft Azure, Google Cloud Platform, and Alibaba Cloud. This flexibility allows organizations to scale globally while leveraging the strengths of specific cloud providers.

Regional Availability: SAP BTP offers data centers in various geographic locations, enabling businesses to scale their operations globally and ensure compliance with local data regulations.

4. Elasticity and Dynamic Resource Allocation

Elastic Cloud Services: Resources are dynamically allocated to applications based on real-time demand, ensuring optimal performance and cost-efficiency.

Pay-As-You-Go Pricing: Businesses only pay for the resources they use, making scaling cost-effective.

5. Database Scalability

SAP HANA, the backbone of many SCP services, supports:

In-Memory Data Compression: Efficient storage that allows massive data handling without performance degradation.

Partitioning and Sharding: Enables distribution of large datasets across multiple servers for improved query performance.

Scale-Out Architecture: SAP HANA can operate in distributed clusters to handle higher workloads.

6. Application Scalability

Cloud Foundry Environment: Offers seamless scaling of applications, with features like dynamic memory allocation and containerized deployments.

Kyma Runtime: Supports Kubernetes-based scaling for containerized applications and extensions.

Custom Application Scaling: Developers can define specific scaling policies and thresholds for their applications.

7. Integration Scalability

SAP Integration Suite: Allows businesses to connect and scale integrations across diverse landscapes, including SAP and non-SAP systems, as their ecosystem grows.

APIs and Event-Driven Architecture: Applications can scale by leveraging SAP BTP’s API management and event-driven services.

8. High Availability and Disaster Recovery

Redundancy: Ensures critical applications remain operational during scaling or infrastructure failures.

Disaster Recovery Solutions: SCP supports replication and backup strategies to scale data recovery processes effectively.

9. Developer Tools for Custom Scaling

SAP Business Application Studio and SAP Web IDE: Provide tools to build applications with built-in scalability features.

CI/CD Pipelines: Automate deployment processes to scale applications rapidly and consistently.

Benefits of Scalability in SAP Cloud Platform

Cost Efficiency: Scale resources on-demand, reducing unnecessary expenses.

Performance Optimization: Handle peak loads and ensure seamless user experiences.

Future-Ready: Accommodates organizational growth and evolving business needs.

SAP Cloud Platform’s extensive scalability options make it a robust choice for businesses looking to grow and adapt to changing market demands while ensuring performance and cost efficiency.

Anubhav Trainings is an SAP training provider that offers various SAP courses, including SAP UI5 training. Their SAP Ui5 training program covers various topics, including warehouse structure and organization, goods receipt and issue, internal warehouse movements, inventory management, physical inventory, and much more.

Call us on +91-84484 54549

Mail us on contact@anubhavtrainings.com

Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings

[ashleshashekhawat21]

SAP Cloud Platform (SCP), now integrated into the SAP Business Technology Platform (SAP BTP), offers extensive scalability options designed to meet the dynamic needs of businesses. These scalability options span across application performance, infrastructure, and integration, ensuring organizations can handle increasing workloads, growing user bases, and expanding business processes efficiently.

1. Horizontal Scaling

Horizontal scaling (or scaling out) involves adding more instances of a service or application to distribute the load effectively. Key features include:

Auto-Scaling: Automatically provisions additional instances based on metrics such as CPU utilization or request rates.

Load Balancing: Distributes workloads across multiple instances to optimize resource utilization and ensure high availability.

Microservices Architecture: Applications can be broken down into smaller, independently scalable components.

2. Vertical Scaling

Vertical scaling (or scaling up) enhances the capacity of existing instances by increasing resources like CPU, memory, or storage. SCP enables this by:

Allowing instance resizing to meet increased demand.

Supporting resource upgrades without affecting application availability in many cases.

3. Global Multi-Cloud and Region Expansion

Multi-Cloud Deployment: SCP supports multiple cloud providers, including AWS, Microsoft Azure, Google Cloud Platform, and Alibaba Cloud. This flexibility allows organizations to scale globally while leveraging the strengths of specific cloud providers.

Regional Availability: SAP BTP offers data centers in various geographic locations, enabling businesses to scale their operations globally and ensure compliance with local data regulations.

4. Elasticity and Dynamic Resource Allocation

Elastic Cloud Services: Resources are dynamically allocated to applications based on real-time demand, ensuring optimal performance and cost-efficiency.

Pay-As-You-Go Pricing: Businesses only pay for the resources they use, making scaling cost-effective.

5. Database Scalability

SAP HANA, the backbone of many SCP services, supports:

In-Memory Data Compression: Efficient storage that allows massive data handling without performance degradation.

Partitioning and Sharding: Enables distribution of large datasets across multiple servers for improved query performance.

Scale-Out Architecture: SAP HANA can operate in distributed clusters to handle higher workloads.

6. Application Scalability

Cloud Foundry Environment: Offers seamless scaling of applications, with features like dynamic memory allocation and containerized deployments.

Kyma Runtime: Supports Kubernetes-based scaling for containerized applications and extensions.

Custom Application Scaling: Developers can define specific scaling policies and thresholds for their applications.

7. Integration Scalability

SAP Integration Suite: Allows businesses to connect and scale integrations across diverse landscapes, including SAP and non-SAP systems, as their ecosystem grows.

APIs and Event-Driven Architecture: Applications can scale by leveraging SAP BTP’s API management and event-driven services.

8. High Availability and Disaster Recovery

Redundancy: Ensures critical applications remain operational during scaling or infrastructure failures.

Disaster Recovery Solutions: SCP supports replication and backup strategies to scale data recovery processes effectively.

9. Developer Tools for Custom Scaling

SAP Business Application Studio and SAP Web IDE: Provide tools to build applications with built-in scalability features.

CI/CD Pipelines: Automate deployment processes to scale applications rapidly and consistently.

Benefits of Scalability in SAP Cloud Platform

Cost Efficiency: Scale resources on-demand, reducing unnecessary expenses.

Performance Optimization: Handle peak loads and ensure seamless user experiences.

Future-Ready: Accommodates organizational growth and evolving business needs.

SAP Cloud Platform’s extensive scalability options make it a robust choice for businesses looking to grow and adapt to changing market demands while ensuring performance and cost efficiency.

Anubhav Trainings is an SAP training provider that offers various SAP courses, including SAP UI5 training. Their SAP Ui5 training program covers various topics, including warehouse structure and organization, goods receipt and issue, internal warehouse movements, inventory management, physical inventory, and much more.

Call us on +91-84484 54549

Mail us on contact@anubhavtrainings.com

Website: Anubhav Online Trainings | UI5, Fiori, S/4HANA Trainings

[suryakantd]

System Infrastructure Software Market 2025: Key Trends, Progression Status and Business Trends to 2037

Research Nester assesses the growth and market size of the system infrastructure software market, which is anticipated to be due to the usage of digital tools, software, hardware, systems, and many more. Organizations today rely largely on technological solutions for operations, services, and nearly every procedure due to the quick adoption of technology.

Research Nester’s recent market research analysis on “System Infrastructure Software Market: Global Demand Analysis & Opportunity Outlook 2037” delivers a detailed competitor's analysis and a detailed overview of the global system infrastructure software market in terms of market segmentation by type, application, end user, and by region.

Growing surge in technological adoption to promote the global market share of the System Infrastructure Software market

The global system infrastructure software market is estimated to grow majorly on account of the growing user and customer satisfaction through faster provisioning and better IT infrastructure performance are well-known ways to improve customer services, and the quality of commercial and IT services is determined by their core infrastructure. A report in 2024 estimated that more than 80% of companies use customer scores for analyzing their services and improving them, while improvement in customer services has increased by 19% since 2019.

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Some of the major growth factors and challenges that are associated with the growth of the System Infrastructure Software market are:

Growth Drivers:

Rising customer care improvements

High demand for cloud-based services

Challenges:

The presence of concerns related to the process of using system infrastructure software has many advantages, but there are also significant barriers to the market's expansion. This technologically evolved world makes it much easier to acquire and collect data, but one of the biggest problems in the industry is handling the vast volume of data. Many businesses have reported data loss as a result of inadequate storage. For corporations, losing data can have catastrophic consequences.

By technology, the System Infrastructure Software market is segmented into Storage, Network & System Management, and Security. The network & system segment is estimated to garner a significant market share over the forecast period. The segment’s growth is attributed to by the growing desire among users to automate their operations to reduce labor costs while boosting their corporate productivity. Furthermore, a network management system that collects data in real-time from network devices and gives administrators a single point of control over the network from which they can manage resource allocation, security protocols, and other activities. A report based on workflow automation in 2024 projected that about 94% of the companies perform time-consuming and repetitive tasks, additionally, after adopting automation productivity and jobs have been improved for 66% and 90% of the workers respectively.

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By region, The North American region is expected to generate the highest revenue by the end of 2023. In 2023, the North American market has dominated the global sales, by about 38.2%. This growth was mainly fueled by the surge in data centres for data storing and processing, owing to which the data center construction market will show a tremendous growth rate in the forecast period. A report published by Research Nester in 2024 concluded that out of 11 countries, North America is considered the top 3 in terms of data centres, which represents about 40% of the global landscape.

This report also provides the existing competitive scenario of some of the key players of the System Infrastructure Software market which includes Amazon Web Services, BMC Software, Inc., Broadcom Inc. (CA Technologies), Cisco Systems, Inc., Dell Inc., Hewlett Packard Enterprise, IBM Corporation, Microsoft Corporation, Oracle Corporation, Aeye Security Lab Inc., NEC Corporation, Clue, Inc., DataGateway, Moshbit, and many more.

Access our detailed report @ https://www.researchnester.com/reports/system-infrastructure-software-market/6392

About Research Nester-

Research Nester is a leading service provider for strategic market research and consulting. We aim to provide unbiased, unparalleled market insights and industry analysis to help industries, conglomerates, and executives make wise decisions for their future marketing strategy, expansion, investment, etc. We believe every business can expand to its new horizon, provided the right guidance at the right time is available through strategic minds. Our out-of-the-box thinking helps our clients to make wise decisions to avoid future uncertainties.

Contact for more Info:

AJ Daniel

Email: info@researchnester.com

U.S. Phone: +1 646 586 9123

U.K. Phone: +44 203 608 5919

[allthebrazilianpolitics]

Brazilian data center market draws foreign investors

Rising demand for data storage spurs asset acquisition

Foreign investors, including major global funds, are actively participating in processes to acquire data centers in Brazil. The growing demand for data infrastructure is coupled with an intent to diversify investments. Brazil, with its energy availability to operate data centers, is attracting these investors in large operations that are beginning to materialize. The sector is expanding at a double-digit growth rate annually.

For instance, Scala Data Centers, which already has foreign investors like Rosewood Capital and the World Bank, received $500 million in investments this year. These funds, from U.S.-based asset manager Coatue Tactical Solutions and Canadian pension fund Imco, will accelerate the company’s expansion.

There is also a trend of company sales, taking advantage of global investors’ interest. Scala recently engaged Deutsche Bank to structure its sale, Valor learned. Ascenty has not launched a formal sale process, but its controlling shareholder, Brookfield, is exploring the market, a person familiar with the matter said. Pátria sold Odata to Aligned Data two years ago for $1.8 billion.

Elea Digital is reportedly considering selling a minority stake, according to sources. When contacted, Piemonte Holding, which owns Elea Data Centers, denied seeking to sell a stake in the company and stated it plans to continue its investment plans in the country for the long term. Piemonte Holding’s founder and CEO Alessandro Lombardi pointed out that “any sale would be a breach of commitments made to stakeholders.” “Although investment banks, both local and foreign, frequently present potential buyers, none of these proposals have progressed,” he said.

Continue reading.

[fromdevcom]

Edge Computing vs. Cloud Computing: What's the Difference? In today’s fast-paced digital landscape, businesses are handling vast amounts of data at unprecedented rates. As technologies like the Internet of Things (IoT), artificial intelligence (AI), and real-time analytics become essential, the debate between edge computing and cloud computing grows louder. While both serve the purpose of data storage and processing, they differ significantly in terms of architecture, speed, security, and practical applications. So, what exactly is the difference between edge computing and cloud computing, and how do you decide which is best for your needs? Let’s dive in. What is Cloud Computing? Cloud computing refers to the delivery of computing services, such as servers, storage, databases, networking, software, and analytics, over the internet or "the cloud." With cloud computing, businesses don't need to own or maintain physical data centers. Instead, they rent computing resources from providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Advantages of Cloud Computing: Scalability: Cloud services can scale up or down depending on the demand, making it ideal for businesses experiencing rapid growth or fluctuating workloads. Cost-Efficiency: Cloud computing operates on a pay-as-you-go model, helping businesses save on hardware and maintenance costs. Accessibility: Since cloud resources are available over the internet, users can access data and applications from virtually anywhere, promoting remote work and collaboration. However, cloud computing has its limitations, especially when it comes to processing real-time data, as it often relies on centralized data centers, potentially leading to latency issues. What is Edge Computing? Edge computing brings data storage and computation closer to the devices or locations where it’s generated, rather than relying on a centralized cloud server. This technology is called "edge" because processing occurs at the network's edge, reducing the need for data to travel long distances. Advantages of Edge Computing: Reduced Latency: By processing data closer to the source, edge computing dramatically reduces lag times, making it suitable for real-time applications like autonomous vehicles and industrial IoT. Improved Reliability: Edge computing can continue functioning even if connectivity to the cloud is lost, ensuring smoother operations in areas with poor internet access. Enhanced Privacy and Security: Since data doesn't need to be sent to distant cloud servers, there’s a lower risk of interception during transmission. This makes edge computing especially attractive for industries with stringent privacy regulations, such as healthcare and finance. While edge computing offers lower latency and enhanced security, it does require local infrastructure, which could increase costs in certain scenarios. Key Differences Between Edge and Cloud Computing 1. Location of Data Processing Cloud Computing: Centralized in remote data centers. Edge Computing: Decentralized, closer to the source of data generation (e.g., IoT devices, local servers). 2. Latency Cloud Computing: Higher latency, as data needs to travel longer distances. Edge Computing: Minimal latency, since data processing occurs locally, near the source. 3. Scalability Cloud Computing: Highly scalable due to vast cloud infrastructures. Edge Computing: Limited scalability, as it relies on local resources. 4. Data Security and Privacy Cloud Computing: Greater vulnerability during data transmission, though robust cloud encryption and security measures are in place. Edge Computing: Improved security by limiting data transmission and keeping sensitive data locally. 5. Cost Cloud Computing: More cost-effective for businesses that don’t need immediate processing, as they pay for only what they use. Edge Computing: Can be more

expensive upfront due to the need for local hardware and infrastructure, but cost savings may be realized over time with lower bandwidth needs. 6. Use Cases Cloud Computing: Ideal for large-scale data storage, long-term analytics, machine learning, and remote collaboration. Popular in industries like e-commerce, software development, and media streaming. Edge Computing: Perfect for real-time applications, such as autonomous vehicles, industrial IoT, smart cities, and healthcare. It's critical where speed, reliability, and security are non-negotiable. Which One Should You Choose? The choice between edge and cloud computing ultimately depends on the specific needs of your business or application. If you require real-time data processing, low latency, and heightened privacy, edge computing is the clear choice. This makes it the go-to option for industries like manufacturing, healthcare, and autonomous technologies, where split-second decisions are critical. If your focus is on scalability, long-term data storage, and accessibility across multiple locations, cloud computing is the better solution. It’s an excellent choice for businesses handling large-scale data analysis or offering services globally without needing immediate response times. Many modern businesses are adopting hybrid models, combining both cloud and edge computing to maximize the benefits of each. For example, a retail company might use edge computing in their stores for quick, real-time data analysis while using the cloud for centralized management and long-term data storage. Conclusion Edge computing and cloud computing are both vital technologies in today’s data-driven world, each offering unique advantages. As businesses continue to innovate, the need for both real-time processing and large-scale data storage will only grow, making the combination of edge and cloud solutions increasingly popular. Whether you lean toward edge computing for its speed and security or prefer the scalability of cloud computing, understanding their differences will help you choose the best strategy to meet your business's demands.

[satyaganeshveera]

Trends in Mobile App Development for 2024: Satya Ganesh Veera

The mobile app development landscape is in a constant state of evolution, with new trends emerging each year that push the boundaries of innovation. As we step into 2024, businesses and developers are adapting to shifts in technology, user behavior, and market dynamics. Here's a comprehensive look at the trends shaping mobile app development in 2024.

1. The Rise of Artificial Intelligence and Machine Learning

Artificial Intelligence (AI) and Machine Learning (ML) have been game-changers for mobile app development. In 2024, their influence continues to grow, with more apps integrating AI to enhance user experiences. AI-driven chatbots, voice assistants, and recommendation engines are becoming standard features across industries, from e-commerce to healthcare.

For example, AI algorithms are now used to predict user preferences, provide personalized shopping recommendations, fitness plans, or content feeds. ML models also enhance fraud detection in fintech apps, while AI-based image recognition powers tools in healthcare and education. Developers are focusing on integrating AI capabilities like real-time language translation, advanced facial recognition, and sentiment analysis to cater to increasingly diverse audiences.

2. 5G Technology and Its Impact

5G connectivity is no longer a futuristic concept—it’s a reality in many parts of the world. The deployment of 5G networks offers unparalleled speed and lower latency, which will revolutionize mobile app performance. In 2024, developers are leveraging 5G to create more sophisticated apps, especially in areas like augmented reality (AR), virtual reality (VR), and live streaming.

With 5G, apps that require high data transfer rates, such as multiplayer gaming and high-definition video calls, can perform seamlessly. Additionally, developers are exploring ways to enhance cloud computing through 5G, enabling complex computations and data storage to occur on remote servers rather than the user's device.

3. Super Apps: One App, Many Functions

The concept of "super apps" is taking center stage in 2024. Originating in Asia, super apps like WeChat and Gojek have shown the potential of combining multiple services within a single app. This trend is now gaining traction globally.

Super apps provide users with a one-stop solution for various needs, such as messaging, payments, shopping, food delivery, and ride-hailing. For businesses, they present an opportunity to increase user retention and engagement by offering an integrated ecosystem. Developers are increasingly focusing on modular app designs, enabling smooth integration of various services without compromising performance.

4. Increased Focus on Privacy and Security

With growing concerns about data privacy, especially after high-profile data breaches and stricter regulations such as GDPR and CCPA, developers are prioritizing app security in 2024. Mobile apps are now being built with privacy-first principles, such as end-to-end encryption, minimal data collection, and secure authentication methods.

Features like biometric authentication (fingerprints, facial recognition), multi-factor authentication (MFA), and blockchain for secure transactions are becoming essential. Additionally, developers are adopting Privacy Enhancing Technologies (PETs), such as differential privacy and federated learning, to safeguard user data while enabling AI-driven personalization.

5. Augmented Reality (AR) and Virtual Reality (VR)

AR and VR technologies are poised for exponential growth in 2024, driven by advancements in hardware and software. With Apple’s Vision Pro and Meta’s Quest devices gaining traction, AR and VR apps are no longer limited to gaming—they’re expanding into education, real estate, retail, and healthcare.

Retail apps are using AR to offer virtual try-ons for clothing or furniture placement in homes, while educational apps leverage VR for immersive learning experiences. AR in mobile apps is also being used for navigation and real-time translation. For instance, AR-based map apps can overlay directional arrows in the real world to guide users to their destinations.

6. IoT Integration in Mobile Apps

The Internet of Things (IoT) is transforming the way mobile apps interact with physical devices. In 2024, IoT integration is becoming more advanced, enabling apps to control a broader range of smart devices, from home automation systems to wearable fitness trackers.

Industries like healthcare are at the forefront of this trend, with IoT-enabled apps offering features such as remote patient monitoring and real-time health updates. Similarly, in the automotive sector, mobile apps are enhancing the connected car experience by providing remote controls for vehicles, diagnostics, and even driver assistance features.

7. Low-Code and No-Code Development

Low-code and no-code platforms are democratizing app development by enabling individuals with minimal coding knowledge to build apps. In 2024, the adoption of these platforms is expected to grow further as businesses seek faster and more cost-effective development solutions.

These platforms use drag-and-drop interfaces and pre-built templates, allowing businesses to prototype, develop, and deploy apps quickly. They are particularly useful for small and medium-sized enterprises (SMEs) and startups with limited budgets. While low-code platforms are not a replacement for custom development, they are excellent for creating MVPs (Minimum Viable Products) or simple utility apps.

8. Cross-Platform Development

Cross-platform development continues to gain popularity as businesses aim to target both iOS and Android users without duplicating development efforts. Frameworks like Flutter, React Native, and Xamarin are dominating the space in 2024, offering near-native performance with a single codebase.

The advantages of cross-platform development include reduced costs, faster time-to-market, and consistent UI/UX across platforms. With these frameworks constantly improving their capabilities, the gap between native and cross-platform apps is narrowing, making them an attractive option for developers and businesses alike.

9. Edge Computing for Mobile Apps

Edge computing is reshaping the way mobile apps handle data processing. In traditional cloud computing, data is sent to centralized servers for processing. Edge computing, on the other hand, processes data closer to the source, such as on the user’s device or a nearby edge server.

In 2024, edge computing is enhancing the performance of mobile apps that require real-time processing, such as IoT apps, autonomous vehicles, and industrial automation tools. By reducing latency and bandwidth usage, edge computing is helping apps provide faster responses and a smoother user experience.

10. Sustainability and Green App Development

With sustainability becoming a global priority, mobile app development is also going green in 2024. Developers are focusing on creating energy-efficient apps that minimize battery consumption and reduce the carbon footprint of data centers.

Green app development also involves optimizing code for better performance, using energy-efficient servers for cloud computing, and encouraging users to adopt sustainable practices. For instance, ride-sharing apps can integrate features that promote carpooling or display eco-friendly travel options.

11. Wearable Technology and Apps

The wearable technology market is expanding rapidly, with smartwatches, fitness trackers, and health monitors becoming mainstream. In 2024, mobile apps are being tailored specifically for wearable devices, focusing on fitness, health, and convenience.

For example, health apps can now track advanced metrics like blood oxygen levels, sleep patterns, and ECG. Developers are also exploring innovative uses for wearable apps, such as real-time language translation and gesture-based controls for smart home devices.

12. Blockchain Beyond Cryptocurrency

Blockchain technology is moving beyond cryptocurrencies, finding applications in mobile app development. In 2024, blockchain is being used for secure payments, decentralized finance (DeFi), supply chain management, and identity verification.

For instance, blockchain can enable peer-to-peer payments in e-commerce apps without relying on intermediaries. It’s also being used to create decentralized apps (dApps), which are more transparent and resistant to censorship. With the rise of NFTs, mobile apps are exploring ways to integrate blockchain for digital asset creation and trading.

13. Voice and Conversational UI

Voice technology is evolving rapidly, with users increasingly relying on voice assistants like Siri, Alexa, and Google Assistant. In 2024, voice and conversational interfaces are becoming integral to mobile app development, enabling hands-free interactions.

Businesses are adopting conversational AI to improve customer service through chatbots and voice bots. These interfaces are now capable of understanding complex queries, providing personalized responses, and performing tasks like booking appointments or placing orders.

14. Personalized User Experiences Through Big Data

Personalization remains a key driver of user engagement and retention. In 2024, mobile apps are leveraging big data to provide hyper-personalized experiences. By analyzing user behavior, preferences, and past interactions, apps can offer tailored recommendations and content.

Streaming platforms, for instance, use big data to curate personalized playlists or movie suggestions, while fitness apps provide customized workout plans. Developers are also focusing on real-time personalization, where apps adapt dynamically to user behavior.

15. Gaming Apps and the Metaverse

The gaming industry continues to thrive, and in 2024, gaming apps are pushing the boundaries of innovation. With the rise of the metaverse, gaming apps are integrating social, economic, and immersive experiences, allowing users to interact in virtual worlds.

Technologies like AR, VR, and blockchain are enabling new gaming formats, such as play-to-earn games and virtual marketplaces. Developers are also exploring multiplayer capabilities, in-game purchases, and cloud gaming to enhance user engagement.

Conclusion

Mobile app development in 2024 is marked by rapid technological advancements and a user-centric approach. From AI-driven personalization to the adoption of 5G and AR/VR, the industry is poised for a transformative year. Developers who embrace these trends and prioritize security, sustainability, and innovation will be at the forefront of this ever-evolving landscape.

Satya Ganesh Veera is a seasoned freelancer specializing in mobile app development and emerging technologies. With a keen eye on industry trends, he delivers innovative solutions that align with the future of app development.

[prameethsd]

Sustainable Mobile App Development: Best Practices for 2024

As mobile app development continues to evolve, one of the most pressing concerns for developers and businesses alike is sustainability. With growing environmental awareness and a push for greener technology, it's vital for app developers to adopt eco-friendly practices. In this guide, we’ll explore the best practices for sustainable mobile app development in 2024, which can help reduce energy consumption, minimize carbon footprints, and ensure a positive impact on the environment.

Why Sustainability Matters in Mobile App Development

The mobile industry is booming, but with that growth comes an increased environmental cost. Mobile applications consume a significant amount of energy, especially with the rise of cloud-based services and app usage. Furthermore, the rapid rate of technological change often leads to excessive e-waste. By embracing sustainable development practices, developers can play a key role in reducing these impacts and contributing to a more sustainable digital ecosystem.

1. Optimizing Code for Energy Efficiency

Writing efficient code is one of the most effective ways to make mobile apps more sustainable. Clean, optimized code consumes less processing power, which in turn reduces energy usage. Here's how developers can optimize their code:

Minimize background processes: Keep background tasks to a minimum and ensure that apps only use resources when necessary.

Avoid memory leaks: Memory leaks can cause apps to consume more energy, so it's important to regularly check for and eliminate them.

Efficient algorithms: Choose algorithms that are computationally efficient and use less energy to perform tasks.

2. Designing Lightweight Applications

Sustainable app development isn’t just about code efficiency; it's also about designing lightweight applications that require fewer resources to run. Here’s how you can achieve that:

Limit heavy assets: Avoid large images, videos, and files that consume excessive bandwidth and storage.

Utilize native features: Instead of relying on external libraries, make use of native mobile operating system features that are optimized for efficiency.

Optimize user interface (UI): Design intuitive, minimalistic interfaces that don’t require excessive processing power.

3. Energy-Efficient Data Usage

Mobile apps often consume a significant amount of data, especially when pulling information from servers or cloud services. Developers should optimize data usage to reduce the app’s environmental impact:

Data compression: Use data compression techniques to reduce the size of data being transferred.

Local data caching: Where possible, use local caching to minimize the number of server requests, reducing the app’s data usage and energy consumption.

Efficient data sync: Use smart data synchronization practices, such as syncing in low-traffic periods, to prevent unnecessary data usage during peak times.

4. Adopting Green Cloud Infrastructure

Cloud services are integral to modern mobile apps, but they can have a significant environmental footprint. By choosing a sustainable cloud provider, developers can mitigate this impact. Look for cloud platforms that:

Use renewable energy: Choose data centers powered by renewable sources like wind, solar, and hydroelectric power.

Optimize server performance: Cloud providers that offer energy-efficient servers can significantly reduce your app’s carbon footprint.

Support carbon offsetting: Many green cloud providers participate in carbon offset programs to neutralize their environmental impact.

5. Reducing E-Waste with Long-Lasting Updates

Sustainability also extends to the lifecycle of the devices and apps we use. Instead of pushing out frequent, unnecessary updates, aim to create apps that can stay functional and relevant for longer periods.

Backward compatibility: Ensure that your app is compatible with older devices, reducing the need for users to constantly upgrade their hardware.

Efficient app updates: Release updates that focus on fixing bugs and improving performance rather than adding excessive new features that may require users to upgrade their devices.

User education: Educate users on how to optimize their devices for longevity, such as how to extend battery life or manage storage effectively.

6. Eco-Friendly Mobile App Testing and Deployment

Testing and deployment are critical phases in the development lifecycle, but they can also be resource-intensive. By adopting efficient practices here, you can reduce your app’s overall environmental impact.

Use cloud-based testing tools: Opt for cloud-based testing services that leverage energy-efficient data centers to reduce the need for on-site hardware.

Test for performance: Prioritize testing your app’s performance, including its energy consumption, to ensure that it runs efficiently on a variety of devices.

7. Promoting Sustainable User Behavior

Even after your app is launched, you can still influence users to make more sustainable choices through thoughtful design and features:

Eco-friendly notifications: Send users reminders to reduce energy usage, such as encouraging them to use dark mode to save battery.

Sustainable practices within the app: Introduce features that promote sustainability, like carbon footprint calculators, recycling tips, or the ability to offset carbon emissions.

Conclusion

Sustainable mobile app development is no longer just a trend; it’s an essential part of building the future of technology. By integrating energy-efficient coding practices, minimizing data usage, choosing sustainable cloud providers, and optimizing your app’s design and lifecycle, you can significantly reduce your environmental impact. As we move into 2024, these practices will not only benefit the planet but will also improve the efficiency, performance, and longevity of your apps.

By making sustainability a priority, you can help create a greener tech ecosystem while meeting the growing demand for eco-conscious solutions. Together, we can ensure that the future of mobile apps is both innovative and environmentally responsible.

[rohitpalan]

Forecasting Exponential Growth: The Global Cloud Communication Platforms Market 2020-2030

The global cloud communication platform market will experience a double-digit CAGR over the forecast period, 2020-2030. Upsurge in investments in IT infrastructure for cloud service providers (CSPs), internet service providers (ISPs), and hyperscalers have been critical in driving market growth. Further, the coronavirus (COVID-19) pandemic has compelled several organizations to turn to work from home (WFH) model, thereby, resulting in increasing deployment of cloud communication platform solutions.

Digital collaboration tool providers, including Zoom, and Microsoft, are witnessing a remarkable upswing in usage across continents due to lockdowns and stay-at-home orders. Given the shortage of on-site IT personnel, companies are utilizing cloud-based solutions to maintain and monitor their storage, and server installations in data centers. Enterprises are leveraging full potential of cloud to establish resilient and disaster-immune models to satiate the remote workforce, as well as ensure data security and enterprise application integrity.

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“While the COVID-19 pandemic is having a detrimental impact on the global economic order, it is having a mildly positive impact on cloud communication platform market. Although the pandemic is troubling cloud service providers, in uncertain times, the public cloud infrastructure is delivering flexibility and safe house for organizations striving to maintain normal operations” says the FMI study.

Cloud Communication Platform Market – Key Takeaways

The healthcare industry would remain key revenue generator, given rising trend of bring your own device (BYOD), and increasing need for mobility in the industry.

Benefits such as low costs, and greater functionality are bolstering the adoption of Unified communications as a service (UCaaS).

Large enterprises would remain the primary customer of cloud communication platform services.

Market in North America continues its positive trend, backed by increasing adoption of UCaaS and IVR solutions.

Cloud Communication Platform Market – Key Driving Factors

Rising preference for online backup and database solutions has boded well for market.

Increasing shift towards cloud-based unified communication services to push adoption rate.

Swelling demand for high-speed data transfer mediums in developing regions to offer growth potential to market players.

Cloud Communication Platform Market – Key Constraints

Security and privacy risks associated with shared communication networks are restricting widespread adoption.

Redesigning the network for cloud requires high initial cost.

Anticipated Market Impact of Coronavirus Outbreak

The COVID-19 pandemic has hampered the revenue growth of almost every industry, including the cloud communication platform market. Alerted by the situation, several private, and government organizations have transitioned to remote working, thus, translating into swelling adoption of cloud communication platform solutions. In addition, customers are significantly banking on video streaming services as they strictly following self-isolating regulations. Such evolving trends are auguring well for the cloud communication platform market. The Software-as-a-Service (SaaS) market expanded by nearly 1.4X in 2019 and will see a surge in demand amidst the COVID-19 crisis, as remote working becomes the new normal.

Competition Landscape

Key players in the cloud communication platform market are Cisco Systems Inc., IBM Corporation, Microsoft Corporation, Huawei Technologies Co. Ltd., Avaya Inc., Ozonetel Systems Pvt. Ltd., and Dialogic Inc. Players are focusing on collaborations and new service launches in order to expand their presence further during the COVID-19 recession and extend their customer base.

[semiconductorsandelectronics]

The global data center connectivity market is expected to grow significantly, with projections estimating a reach of USD 17.0 billion by 2026, expanding at a compound annual growth rate (CAGR) of 14.5% during the forecast period.

[amrutatbrc1]

Data Warehouse As A Service Market 2024 : Industry Analysis, Trends, Segmentation, Regional Overview And Forecast 2033

The data warehouse as a service global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.

Data Warehouse As A Service Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.

Market Size - The data warehouse-as-a-service market size has grown exponentially in recent years. It will grow from $5.81 billion in 2023 to $7.07 billion in 2024 at a compound annual growth rate (CAGR) of 21.7%.  The growth in the historic period can be attributed to need to enhance customer experience, increasing demand for data security, rising use of data warehouse services in BFSI sector, increase adoption of cloud system growing data manageability, the proliferation of big data to increase demand.

The data warehouse-as-a-service market size is expected to see rapid growth in the next few years. It will grow to $15.16 billion in 2028 at a compound annual growth rate (CAGR) of 15.4%.  The growth in the forecast period can be attributed to growing demand of centralized data storage, growing e-commerce activity, rapid adoption of cloud-based solutions and focus on real-time data analysis, data analytics and business intelligence are expected to play a major role in enterprise management, increasing investments by data center companies in hyper-scale data centers. Major trends in the forecast period include integration of new technologies and single server solutions, increase in demand for ICT industry, rising government initiatives, growing demand for cloud system, increasing demand for data-driven decision-making, advancements in technology.

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The Business Research Company's reports encompass a wide range of information, including:

1. Market Size (Historic and Forecast): Analysis of the market's historical performance and projections for future growth.

2. Drivers: Examination of the key factors propelling market growth.

3. Trends: Identification of emerging trends and patterns shaping the market landscape.

4. Key Segments: Breakdown of the market into its primary segments and their respective performance.

5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.

6. Macro Economic Factors: Assessment of broader economic elements impacting the market.

Market Drivers - The growing demand for centralized data storage is expected to propel the growth of the data warehouse-as-a-service market going forward. Centralized data storage refers to the practice of storing and maintaining data in a single, central location. The generation of massive amounts of data, requiring scalable and centralized storage solutions. Data warehouse-as-a-service market is used in centralized data storage to consolidate data from various sources (databases, applications, files) into a single, unified platform, creating a centralized repository. For instance, in January 2024, according to a report by Application Access Governance Information Technology Services, a UK-based company that offered a full suite of information technology (IT) support and digital transformation services, around 60% of corporate data was stored in the cloud, and cloud infrastructure spend is estimated to increase by 23% in 2023. Therefore, the growing demand for centralized data storage is driving the growth of the data warehouse-as-a-service market.

Market Trends - Major companies operating in the data warehouse-as-a-service market are developing innovative solutions such as SAP datasphere to address the challenges of traditional data warehouses. These cloud-based data warehouse solutions enables organizations to harmonize the strategic data and facilitate decision-making. For instance, in March 2023, SAP SE, a Germany-based software company, launched SAP datasphere, a cloud data warehouse service. It offers a comprehensive solution that collects and organizes metadata, enabling organizations to manage all system objects, access reliable data for quality modeling, and perform data lineage and impact analysis. The new SAP Datasphere catalogue is the primary location for locating, enhancing, publishing, and promoting the company's reliable data and analytical assets, while also offers an efficient data governance approach.

The data warehouse as a service market covered in this report is segmented –

1) By Type: Enterprise Data Warehouse As A Service (DWaaS), Operational Data Storage 2) By Usage: Data Mining, Reporting, Analytics 3) By Deployment: Private Cloud, Public Cloud, Hybrid Cloud 4) By Application: Fraud Detection And Threat Management, Supply Chain Management, Asset Management, Risk And Compliance Management, Customer Analytics 5) By Vertical: Banking Financial Services And Insurance (BFSI), Retail And Ecommerce, Telecommunication And Information Technology (IT), Healthcare And Life Sciences, Manufacturing And Automotive, Government And Public Sector, Travel And Hospitality, Media And Entertainment,

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Regional Insights - North America was the largest region in the data warehouse-as-a-service market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the data warehouse as a service market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Key Companies - Google LLC, Microsoft Corporation, Dell Inc., Huawei Technologies Co. Ltd., Amazon Web Services Inc., The International Business Machines Corporation, Oracle Corporation, SAP SE, Fujitsu Limited, Hewlett Packard Enterprise Development LP, VMware Inc., NetApp Inc., Veeva Systems Inc., Teradata Corporation, Nutanix , Snowflake Inc. , Cloudera Inc., Quantum Corporation, Mark Logic Corporation, Yellowbrick B.V., AtScale Inc., Micro Focus International Plc, Action Corporation, Netavis GmbH, Scale Computing , DataCore Software, Maxta Inc., Sangfor Technologies, 1010data, Solver, Panoply

Table of Contents 1. Executive Summary 2. Data Warehouse As A Service Market Report Structure 3. Data Warehouse As A Service Market Trends And Strategies 4. Data Warehouse As A Service Market – Macro Economic Scenario 5. Data Warehouse As A Service Market Size And Growth ….. 27. Data Warehouse As A Service Market Competitor Landscape And Company Profiles 28. Key Mergers And Acquisitions 29. Future Outlook and Potential Analysis 30. Appendix

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