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Cloud Based Data Management Services Market by Service Type, Service Model, Deployment Mode, Vertical and Region – Global Forecast to 2027

Cloud Based Data Management Services Market by Service Type, Service Model, Deployment Mode, Vertical and Region – Global Forecast to 2027
PR Newswire
DUBLIN, Dec. 15, 2022

DUBLIN, Dec. 15, 2022 /PRNewswire/ — The “Cloud Based Data Management Serv…

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Cloud Based Data Management Services Market by Service Type, Service Model, Deployment Mode, Vertical and Region - Global Forecast to 2027

PR Newswire

DUBLIN, Dec. 15, 2022

DUBLIN, Dec. 15, 2022 /PRNewswire/ -- The "Cloud Based Data Management Services Market by Service Type (Integration, Security & Back-up, Quality), Service Model (SaaS, PaaS, IaaS), Deployment Mode (Public, Private), Vertical, Region - Global Forecast to 2027" report has been added to  ResearchAndMarkets.com's offering.

The Cloud Based Data Management Services market size is expected to grow from USD 34.0 billion in 2022 to USD 141.2 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 32.9% during the forecast period. 

Software-as-a-Service segment to account for a larger market size during the forecast period.

Organizations need better ways to manage and protect their data, as well as gain new insights. The SaaS data management models offer back-up & recovery, disaster recovery, archiving, file & object services, dev/test provisioning, and data governance and security through a single vendor. This model eliminates the need to work with multiple providers and solutions for SaaS-based data management.

The idea of applying a SaaS model to what has traditionally been an IT-managed function would seem to offer several advantages, including reducing the burden IT faces in managing data infrastructure, bringing more cost predictability to the equation, scaling on demand, giving midsize companies tools to compete more effectively against larger enterprises, and accessing cloud based apps and services to derive additional value from data.

BFSI industry vertical to hold largest market share in 2022

Banking, financial services, and insurance (BFSI) have to rapidly digitalize to meet the changing customer needs. Data has become an integral part of businesses- from acquiring customers to serving them, personalization to predictive analytics; businesses are increasingly becoming data-driven businesses. Further, touchless digital banking and app-based transactions have gained much traction.

To operate efficiently with much agility, financial services companies are migrating to the cloud. Moreover, traditional banks will be able to embrace digital banking at a much faster pace in a cloud environment and come up with innovative products that will effectively compete with modern fintech firms in the marketplace.

With data integration, banks learn more about their customers' needs, wants, and expectations, which allows banks to boost sales. Cloud Based data management services offer a 360-degree view of a customer who can quickly identify any illegal financial activities such as money laundering, tax evasion, or fraud, as well as other major crimes such as terrorism activity, allowing the financial institution to take timely action.

North America to hold largest market share of Cloud Based Data Management Services market in 2022

North America comprises major economies that drive investments in R&D activities and develop new technologies related to the cloud based data management services market. Further, the increase in the number of small businesses in the region indicates sustainable growth. In 2022, the number of small businesses in the US has reached 33.2 million, which forms around 99% of the US business sector. This is likely to boost the demand for cloud Based data management services market across North America.

Key Topics Covered:

1 Introduction

2 Research Methodology

3 Executive Summary

4 Premium Insights
4.1 Overview of Cloud Based Data Management Services Market
4.2 Market, by Service Type, 2022 vs. 2027
4.3 Market, by Service Model, 2022 vs. 2027
4.4 Market, by Deployment Mode, 2022 vs. 2027
4.5 Market, by Vertical, 2022 vs. 2027
4.6 Market: Regional Scenario, 2022-2027

5 Market Overview and Industry Trends
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Enhanced Elasticity and Efficiency
5.2.1.2 Increased Demand for Improved Data Usability and Quality
5.2.1.3 Speed of Implementation and Deployment
5.2.1.4 Demand for Workplace Collaboration
5.2.1.5 Simplified Data Backup and Disaster Recovery
5.2.2 Restraints
5.2.2.1 Performance Issues
5.2.2.2 Lack of Appropriate Infrastructure in Emerging Economies
5.2.3 Opportunities
5.2.3.1 Growing Demand for Cloud Based Master Data Management (MDM)
5.2.3.2 Advisory and Consultancy Services
5.2.4 Challenges
5.2.4.1 Assertion of Privacy and Security
5.2.4.2 Business Benefits and Reliability
5.2.4.3 High Cost of Storing Data on Cloud
5.3 Case Study Analysis
5.3.1 Case Study 1: Predictx Empowered Insights with Avalanche Cloud Data Platform
5.3.2 Case Study 2: Netapp Helped Karcher Switch to Cloud and Enhance Innovation
5.3.3 Case Study 3: Boomi Helped Rivus Fleet Solutions Streamline Internal Data Communications
5.4 Pricing Analysis
5.5 Value Chain Analysis
5.6 Impact of COVID-19 on Market Dynamics
5.7 Porter's Five Forces Analysis
5.8 Patent Analysis

6 Cloud Based Data Management Services Market, by Service Type
6.1 Introduction
6.1.1 Market, by Service Type: Drivers
6.1.2 COVID-19 Impact on Market, by Service Type
6.2 Integration Services
6.2.1 Need to Streamline Data Flow Across Networks
6.3 Data Security & Back-Up Services
6.3.1 Demand for Data Governance Driven by Increasing Volume of Enterprise Data
6.4 Quality-As-A-Service
6.4.1 High Cost of Processing Unstructured Data Formats

7 Cloud Based Data Management Services Market, by Service Model
7.1 Introduction
7.1.1 Market, by Service Model: Drivers
7.1.2 COVID-19 Impact on Market, by Service Model
7.2 Software-As-A-Service
7.2.1 Eliminates Need to Work with Multiple Providers and Solutions
7.3 Platform-As-A-Service
7.3.1 Flexible Data Management with No Significant Upfront Costs
7.4 Infrastructure-As-A-Service
7.4.1 Supports Use Cases of All Types

8 Cloud Based Data Management Services Market, by Deployment Mode
8.1 Introduction
8.1.1 Market, by Deployment Mode: Drivers
8.1.2 COVID-19 Impact on Market, by Deployment Mode
8.2 Public Cloud
8.2.1 Low Capital Expenditure to Deploy Data Management Solutions
8.3 Private Cloud
8.3.1 Offers Highly Secure and Centralized Storage Infrastructure
8.4 Other Deployment Modes

9 Cloud Based Data Management Services Market, by Vertical
9.1 Introduction
9.1.1 Market, by Vertical: Drivers
9.1.2 COVID-19 Impact on Market, by Vertical
9.2 Banking, Financial Services, and Insurance (bfsi)
9.2.1 Rising Need for Digital Transformation and Improved Customer Experience
9.3 IT & Telecom
9.3.1 Demand for Technological Innovation to Provide Personalized Services
9.4 Retail & Consumer Goods
9.4.1 Need to Optimize Supply Chains and Make Informed Business Decisions
9.5 Government & Public Sector
9.5.1 Rising Requirement for Transformation of Public Sector Data Management Infrastructure
9.6 Energy & Utilities
9.6.1 Demand for Real-Time Big Data and Analytics to Manage Data Sources
9.7 Manufacturing
9.7.1 Demand for Integrated Database Management
9.8 Healthcare & Life Sciences
9.8.1 Need to Collect and Manage Growing Size of Patient Data
9.9 Education
9.9.1 Need to Integrate Data from Disparate Systems
9.10 Media & Entertainment
9.10.1 Need to Reduce Operating Costs to Remain Competitive
9.11 Research & Consulting Services
9.11.1 Helps in Offering Infrastructure to Support Data Management
9.12 Other Verticals

10 Cloud Based Data Management Services Market, by Region

11 Competitive Landscape
11.1 Overview
11.2 Market Evaluation Framework
11.3 Strategies Adopted by Key Players
11.4 Revenue Analysis
11.5 Market Share Analysis
11.6 Company Evaluation Quadrant
11.6.1 Stars
11.6.2 Emerging Leaders
11.6.3 Pervasive Players
11.6.4 Participants
11.6.5 Company Product Footprint Analysis
11.7 Ranking of Key Players
11.8 Competitive Scenario and Trends
11.8.1 Deals
11.8.2 Others

12 Company Profiles
12.1 Key Players
12.1.1 IBM
12.1.2 Fujitsu
12.1.3 Cisco
12.1.4 Dell Technologies
12.1.5 HPE
12.1.6 Netapp
12.1.7 Informatica
12.1.8 SAS
12.1.9 Actian
12.1.10 Oracle
12.2 Other Key Players
12.2.1 SAP
12.2.2 AWS
12.2.3 Accenture
12.2.4 Snowflake
12.2.5 Talend
12.2.6 Hitachi Vantara
12.2.7 Cloudera
12.2.8 Teradata
12.2.9 Experian
12.2.10 Alibaba Cloud
12.2.11 Tibco Software
12.2.12 Cohesity

13 Adjacent Market

14 Appendix

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

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Aging at AACR Annual Meeting 2024

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging…

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March 11, 2024

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BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals. 

Credit: Impact Journals

BUFFALO, NY- March 11, 2024 – Impact Journals publishes scholarly journals in the biomedical sciences with a focus on all areas of cancer and aging research. Aging is one of the most prominent journals published by Impact Journals. 

Impact Journals will be participating as an exhibitor at the American Association for Cancer Research (AACR) Annual Meeting 2024 from April 5-10 at the San Diego Convention Center in San Diego, California. This year, the AACR meeting theme is “Inspiring Science • Fueling Progress • Revolutionizing Care.”

Visit booth #4159 at the AACR Annual Meeting 2024 to connect with members of the Aging team.

About Aging-US:

Aging publishes research papers in all fields of aging research including but not limited, aging from yeast to mammals, cellular senescence, age-related diseases such as cancer and Alzheimer’s diseases and their prevention and treatment, anti-aging strategies and drug development and especially the role of signal transduction pathways such as mTOR in aging and potential approaches to modulate these signaling pathways to extend lifespan. The journal aims to promote treatment of age-related diseases by slowing down aging, validation of anti-aging drugs by treating age-related diseases, prevention of cancer by inhibiting aging. Cancer and COVID-19 are age-related diseases.

Aging is indexed and archived by PubMed/Medline (abbreviated as “Aging (Albany NY)”), PubMed Central, Web of Science: Science Citation Index Expanded (abbreviated as “Aging‐US” and listed in the Cell Biology and Geriatrics & Gerontology categories), Scopus (abbreviated as “Aging” and listed in the Cell Biology and Aging categories), Biological Abstracts, BIOSIS Previews, EMBASE, META (Chan Zuckerberg Initiative) (2018-2022), and Dimensions (Digital Science).

Please visit our website at www.Aging-US.com​​ and connect with us:

  • Aging X
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  • Aging LinkedIn
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  • Aging Reddit

Click here to subscribe to Aging publication updates.

For media inquiries, please contact media@impactjournals.com.

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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked…

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March 11, 2024

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NY Fed Finds Medium, Long-Term Inflation Expectations Jump Amid Surge In Stock Market Optimism

One month after the inflation outlook tracked by the NY Fed Consumer Survey extended their late 2023 slide, with 3Y inflation expectations in January sliding to a record low 2.4% (from 2.6% in December), even as 1 and 5Y inflation forecasts remained flat, moments ago the NY Fed reported that in February there was a sharp rebound in longer-term inflation expectations, rising to 2.7% from 2.4% at the three-year ahead horizon, and jumping to 2.9% from 2.5% at the five-year ahead horizon, while the 1Y inflation outlook was flat for the 3rd month in a row, stuck at 3.0%. 

The increases in both the three-year ahead and five-year ahead measures were most pronounced for respondents with at most high school degrees (in other words, the "really smart folks" are expecting deflation soon). The survey’s measure of disagreement across respondents (the difference between the 75th and 25th percentile of inflation expectations) decreased at all horizons, while the median inflation uncertainty—or the uncertainty expressed regarding future inflation outcomes—declined at the one- and three-year ahead horizons and remained unchanged at the five-year ahead horizon.

Going down the survey, we find that the median year-ahead expected price changes increased by 0.1 percentage point to 4.3% for gas; decreased by 1.8 percentage points to 6.8% for the cost of medical care (its lowest reading since September 2020); decreased by 0.1 percentage point to 5.8% for the cost of a college education; and surprisingly decreased by 0.3 percentage point for rent to 6.1% (its lowest reading since December 2020), and remained flat for food at 4.9%.

We find the rent expectations surprising because it is happening just asking rents are rising across the country.

At the same time as consumers erroneously saw sharply lower rents, median home price growth expectations remained unchanged for the fifth consecutive month at 3.0%.

Turning to the labor market, the survey found that the average perceived likelihood of voluntary and involuntary job separations increased, while the perceived likelihood of finding a job (in the event of a job loss) declined. "The mean probability of leaving one’s job voluntarily in the next 12 months also increased, by 1.8 percentage points to 19.5%."

Mean unemployment expectations - or the mean probability that the U.S. unemployment rate will be higher one year from now - decreased by 1.1 percentage points to 36.1%, the lowest reading since February 2022. Additionally, the median one-year-ahead expected earnings growth was unchanged at 2.8%, remaining slightly below its 12-month trailing average of 2.9%.

Turning to household finance, we find the following:

  • The median expected growth in household income remained unchanged at 3.1%. The series has been moving within a narrow range of 2.9% to 3.3% since January 2023, and remains above the February 2020 pre-pandemic level of 2.7%.
  • Median household spending growth expectations increased by 0.2 percentage point to 5.2%. The increase was driven by respondents with a high school degree or less.
  • Median year-ahead expected growth in government debt increased to 9.3% from 8.9%.
  • The mean perceived probability that the average interest rate on saving accounts will be higher in 12 months increased by 0.6 percentage point to 26.1%, remaining below its 12-month trailing average of 30%.
  • Perceptions about households’ current financial situations deteriorated somewhat with fewer respondents reporting being better off than a year ago. Year-ahead expectations also deteriorated marginally with a smaller share of respondents expecting to be better off and a slightly larger share of respondents expecting to be worse off a year from now.
  • The mean perceived probability that U.S. stock prices will be higher 12 months from now increased by 1.4 percentage point to 38.9%.
  • At the same time, perceptions and expectations about credit access turned less optimistic: "Perceptions of credit access compared to a year ago deteriorated with a larger share of respondents reporting tighter conditions and a smaller share reporting looser conditions compared to a year ago."

Also, a smaller percentage of consumers, 11.45% vs 12.14% in prior month, expect to not be able to make minimum debt payment over the next three months

Last, and perhaps most humorous, is the now traditional cognitive dissonance one observes with these polls, because at a time when long-term inflation expectations jumped, which clearly suggests that financial conditions will need to be tightened, the number of respondents expecting higher stock prices one year from today jumped to the highest since November 2021... which incidentally is just when the market topped out during the last cycle before suffering a painful bear market.

Tyler Durden Mon, 03/11/2024 - 12:40

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Homes listed for sale in early June sell for $7,700 more

New Zillow research suggests the spring home shopping season may see a second wave this summer if mortgage rates fall
The post Homes listed for sale in…

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March 11, 2024

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  • A Zillow analysis of 2023 home sales finds homes listed in the first two weeks of June sold for 2.3% more. 
  • The best time to list a home for sale is a month later than it was in 2019, likely driven by mortgage rates.
  • The best time to list can be as early as the second half of February in San Francisco, and as late as the first half of July in New York and Philadelphia. 

Spring home sellers looking to maximize their sale price may want to wait it out and list their home for sale in the first half of June. A new Zillow® analysis of 2023 sales found that homes listed in the first two weeks of June sold for 2.3% more, a $7,700 boost on a typical U.S. home.  

The best time to list consistently had been early May in the years leading up to the pandemic. The shift to June suggests mortgage rates are strongly influencing demand on top of the usual seasonality that brings buyers to the market in the spring. This home-shopping season is poised to follow a similar pattern as that in 2023, with the potential for a second wave if the Federal Reserve lowers interest rates midyear or later. 

The 2.3% sale price premium registered last June followed the first spring in more than 15 years with mortgage rates over 6% on a 30-year fixed-rate loan. The high rates put home buyers on the back foot, and as rates continued upward through May, they were still reassessing and less likely to bid boldly. In June, however, rates pulled back a little from 6.79% to 6.67%, which likely presented an opportunity for determined buyers heading into summer. More buyers understood their market position and could afford to transact, boosting competition and sale prices.

The old logic was that sellers could earn a premium by listing in late spring, when search activity hit its peak. Now, with persistently low inventory, mortgage rate fluctuations make their own seasonality. First-time home buyers who are on the edge of qualifying for a home loan may dip in and out of the market, depending on what’s happening with rates. It is almost certain the Federal Reserve will push back any interest-rate cuts to mid-2024 at the earliest. If mortgage rates follow, that could bring another surge of buyers later this year.

Mortgage rates have been impacting affordability and sale prices since they began rising rapidly two years ago. In 2022, sellers nationwide saw the highest sale premium when they listed their home in late March, right before rates barreled past 5% and continued climbing. 

Zillow’s research finds the best time to list can vary widely by metropolitan area. In 2023, it was as early as the second half of February in San Francisco, and as late as the first half of July in New York. Thirty of the top 35 largest metro areas saw for-sale listings command the highest sale prices between May and early July last year. 

Zillow also found a wide range in the sale price premiums associated with homes listed during those peak periods. At the hottest time of the year in San Jose, homes sold for 5.5% more, a $88,000 boost on a typical home. Meanwhile, homes in San Antonio sold for 1.9% more during that same time period.  

 

Metropolitan Area Best Time to List Price Premium Dollar Boost
United States First half of June 2.3% $7,700
New York, NY First half of July 2.4% $15,500
Los Angeles, CA First half of May 4.1% $39,300
Chicago, IL First half of June 2.8% $8,800
Dallas, TX First half of June 2.5% $9,200
Houston, TX Second half of April 2.0% $6,200
Washington, DC Second half of June 2.2% $12,700
Philadelphia, PA First half of July 2.4% $8,200
Miami, FL First half of June 2.3% $12,900
Atlanta, GA Second half of June 2.3% $8,700
Boston, MA Second half of May 3.5% $23,600
Phoenix, AZ First half of June 3.2% $14,700
San Francisco, CA Second half of February 4.2% $50,300
Riverside, CA First half of May 2.7% $15,600
Detroit, MI First half of July 3.3% $7,900
Seattle, WA First half of June 4.3% $31,500
Minneapolis, MN Second half of May 3.7% $13,400
San Diego, CA Second half of April 3.1% $29,600
Tampa, FL Second half of June 2.1% $8,000
Denver, CO Second half of May 2.9% $16,900
Baltimore, MD First half of July 2.2% $8,200
St. Louis, MO First half of June 2.9% $7,000
Orlando, FL First half of June 2.2% $8,700
Charlotte, NC Second half of May 3.0% $11,000
San Antonio, TX First half of June 1.9% $5,400
Portland, OR Second half of April 2.6% $14,300
Sacramento, CA First half of June 3.2% $17,900
Pittsburgh, PA Second half of June 2.3% $4,700
Cincinnati, OH Second half of April 2.7% $7,500
Austin, TX Second half of May 2.8% $12,600
Las Vegas, NV First half of June 3.4% $14,600
Kansas City, MO Second half of May 2.5% $7,300
Columbus, OH Second half of June 3.3% $10,400
Indianapolis, IN First half of July 3.0% $8,100
Cleveland, OH First half of July  3.4% $7,400
San Jose, CA First half of June 5.5% $88,400

 

The post Homes listed for sale in early June sell for $7,700 more appeared first on Zillow Research.

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