#Big Data Market

[strangeblazetrash]

Big Data Market: Innovations Powering AI and Machine Learning

[seoexpertswizard]

Big Data Market Size, Share, Price, Trends, Report and Forecast 2023-2028

 Big data refers to large, diverse sets of data that are growing at an exponential rate. The volume of data, the velocity or speed with which it is created and collected, and the variety or scope of the data points covered are all factors to consider.

[wisteriagoesvroom]

got jumpscared by these ‘cus it looks like he is a junior analyst at an investment bank

from mclaren’s ig

[catie-does-things]

Just saw an ad for an "AI powered" fertility hormone tracker and I'm about to go full Butlerian jihad.

[bmpmp3]

this is another thing that probably doesnt matter at all but as someone who's interest in vocal synthesis is in large part because of the software and technological aspects, every time i see someone trying to explain the use of deep learning/neural/AI/etc in vocal synthesizers and they say that "the only thing the AI does is help make the pitch transitions smoother" im like white knuckle gripping the table muttering under my breath like no....that is. incorrect.

[skillacademybytestbookpune]

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[hydralisk98]

Czarina-VM, study of Microsoft tech stack history. Preview 1

Write down study notes about the evolution of MS-DOS, QuickBASIC (from IBM Cassette BASIC to the last officially Microsoft QBasic or some early Visual Basic), "Batch" Command-Prompt, PowerShell, Windows editions pathing from "2.11 for 386" to Windows "ME" (upgraded from a "98 SE" build though) with Windows "3.11 for Workgroups" and the other 9X ones in-between, Xenix, Microsoft Bob with Great Greetings expansion, a personalized mockup Win8 TUI animated flex box panel board and other historical (or relatively historical, with a few ground-realism & critical takes along the way) Microsoft matters here and a couple development demos + big tech opinions about Microsoft too along that studious pathway.

( Also, don't forget to link down the interactive-use sessions with 86box, DOSbox X & VirtualBox/VMware as video when it is indeed ready )

Yay for the four large tags below, and farewell.

[ofcoursethevibes]

Week 5 blog post "Saga of Big Data 🙃"

After watching "The Legal Side of Big Data", Maciej Ceglowski's talk and reading "The Internet's Original Sin" .  I was intrigued by the complexities surrounding the use of big data in today's business landscape. As a business owner myself, I realize that harnessing the power of big data can unlock numerous opportunities for growth and innovation. However, there are crucial aspects that businesses must be acutely aware of when using big data.

First and foremost, data privacy and security must be at the forefront of any big data strategy. As businesses collect and analyze vast amounts of consumer data, they must ensure strict adherence to applicable laws and regulations. Compliance with data protection laws such as GDPR, CCPA, or other relevant regional laws is not just an ethical responsibility but also vital for avoiding potential legal repercussions and preserving consumer trust.

Transparency is another critical aspect that businesses must prioritize. Consumers have the right to know how their data is being used, stored, and shared. Clear and concise privacy policies and terms of use should be provided, ensuring that consumers can make informed decisions about their data's usage.

Furthermore, businesses should guard against using big data to engage in discriminatory practices. The insights derived from big data must be utilized responsibly and without any bias that could harm certain demographic groups or individuals. It's essential to continuously monitor data usage and algorithmic decisions to avoid reinforcing harmful stereotypes.

On the consumers' side, awareness of the implications of sharing their data is paramount. They should be mindful of what data they provide to businesses and exercise caution when consenting to data usage. Staying informed about privacy settings and exercising their rights to access, rectify, or delete personal data empowers consumers to have control over their information.

As for balancing the opportunities and threats of big data, a multi-faceted approach is necessary. Collaboration between businesses, policymakers, and consumer advocacy groups is key to developing comprehensive regulations that foster innovation while safeguarding privacy. Encouraging ethical data practices and responsible use of big data should be incentivized, and non-compliance should be met with appropriate consequences.

Additionally, promoting data literacy among the general public can foster a better understanding of the potential benefits and risks associated with big data. By educating consumers about data collection practices, they can make more informed decisions about sharing their information and demand greater accountability from businesses.

In conclusion, the world of big data offers immense potential for businesses, but it also poses significant challenges in terms of privacy, security, and ethics. By being aware of these considerations, businesses can navigate the legal complexities and build trust with their customers. Simultaneously, consumers must stay vigilant about their data and support initiatives that strike a balance between seizing the opportunities and mitigating the threats of big data. Only through collective efforts and responsible practices can we harness the full potential of big data while safeguarding individual rights and societal welfare.

[never-quite-buried]

Nope now it’s at the point that i’m shocked that people off tt don’t know what’s going down. I have no reach but i’ll sum it up anyway.

SCOTUS is hearing on the constitutionality of the ban as tiktok and creators are arguing that it is a violation of our first amendment rights to free speech, freedom of the press and freedom to assemble.

SCOTUS: tiktok bad, big security concern because china bad!

Tiktok lawyers: if china is such a concern why are you singling us out? Why not SHEIN or temu which collect far more information and are less transparent with their users?

SCOTUS (out loud): well you see we don’t like how users are communicating with each other, it’s making them more anti-american and china could disseminate pro china propaganda (get it? They literally said they do not like how we Speak or how we Assemble. Independent journalists reach their audience on tt meaning they have Press they want to suppress)

Tiktok users: this is fucking bullshit i don’t want to lose this community what should we do? We don’t want to go to meta or x because they both lobbied congress to ban tiktok (free market capitalism amirite? Paying off your local congressmen to suppress the competition is totally what the free market is about) but nothing else is like TikTok

A few users: what about xiaohongshu? It’s the Chinese version of tiktok (not quite, douyin is the chinese tiktok but it’s primarily for younger users so xiaohongshu was chosen)

16 hours later:

Tiktok as a community has chosen to collectively migrate TO a chinese owned app that is purely in Chinese out of utter spite and contempt for meta/x and the gov that is backing them.

My fyp is a mix of “i would rather mail memes to my friends than ever return to instagram reels” and “i will xerox my data to xi jinping myself i do not care i share my ss# with 5 other people anyway” and “im just getting ready for my day with my chinese made coffee maker and my Chinese made blowdryer and my chinese made clothing and listening to a podcast on my chinese made phone and get in my car running on chinese manufactured microchips but logging into a chinese social media? Too much for our gov!” etc.

So the government was scared that tiktok was creating a sense of class consciousness and tried to kill it but by doing so they sent us all to xiaohongshu. And now? Oh it’s adorable seeing this gov-manufactured divide be crossed in such a way.

This is adorable and so not what they were expecting. Im sure they were expecting a reluctant return to reels and shorts to fill the void but tiktokers said fuck that, we will forge connections across the world. Who you tell me is my enemy i will make my friend. That’s pretty damn cool.

[anujmrfr]

Global Healthcare Big Data Analytics Market Size, Growth Outlook 2035

The global healthcare big data analytics market size valued at approximately USD 81.8 billion in 2022. It is projected to reach USD 474.1 billion by 2031, growing at a compound annual growth rate (CAGR) of 21.7% during the forecast period.

Market Overview

The adoption of big data analytics in healthcare has revolutionized the industry by enabling evidence-based decision-making and personalized patient care. The growing use of AI and machine learning in predictive analytics has helped in early disease detection, drug discovery, and population health management. Additionally, healthcare providers and insurance companies are leveraging data analytics to enhance efficiency, reduce costs, and optimize resources.

Market Size and Growth Analysis

The global healthcare big data analytics market size valued at approximately USD 81.8 billion in 2022. It is projected to reach USD 474.1 billion by 2031, growing at a compound annual growth rate (CAGR) of 21.7% during the forecast period. The rapid adoption of cloud-based analytics solutions, AI-driven diagnostics, and real-time patient monitoring systems is expected to drive this growth.

Market Dynamics

5.1 Growth Drivers

Several factors are fueling the growth of the healthcare big data analytics market. The rising adoption of electronic health records (EHRs) across hospitals and healthcare institutions has significantly increased the volume of healthcare data, necessitating advanced analytics solutions. Additionally, the growing prevalence of chronic diseases, such as diabetes and cardiovascular conditions, has led to a higher demand for predictive analytics in patient care.

Challenges and Restraints

Despite the promising growth, the healthcare big data analytics market faces several challenges. Data privacy and security concerns remain a major restraint, as healthcare data is highly sensitive and prone to cyber threats. Ensuring compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) and the General Data Protection Regulation (GDPR) adds complexity to data management strategies

 Regional Analysis

The healthcare big data analytics market exhibits strong regional variations in adoption and growth. North America leads the market, driven by the presence of established healthcare IT infrastructure, significant government funding, and widespread adoption of EHRs. The United States, in particular, has been at the forefront of AI-driven healthcare analytics, with major investments from both public and private sectors. Europe follows closely, with increasing digital health initiatives and regulations supporting data interoperability. The Asia-Pacific region is expected to witness the highest growth rate due to the rising demand for quality healthcare services, expanding healthcare infrastructure, and growing investments in AI-based analytics solutions. Countries like China, India, and Japan are leading the regional growth, driven by government policies supporting healthcare digitalization.

 Market Segmentation

The healthcare big data analytics market is segmented based on component, type, application, deployment model, and end-user.

By Component:

Software – AI-driven analytics platforms, EHR-integrated analytics, and predictive modeling tools

Services – Consulting, data management, implementation, and training services

Hardware – Data storage devices, servers, and networking solutions

By Type:

Descriptive Analytics – Used for historical data analysis and reporting

Predictive Analytics – Helps forecast diseases, patient outcomes, and treatment effectiveness

Prescriptive Analytics – Provides recommendations for clinical and operational decision-making

By Application:

Clinical Analytics – Patient management, disease prediction, precision medicine

Financial Analytics – Cost management, fraud detection, revenue cycle optimization

Operational Analytics – Hospital workflow optimization, resource allocation, supply chain management

By Deployment Model:

Cloud-Based Solutions – Scalable, cost-effective, and widely adopted due to remote access capabilities

On-Premise Solutions – Provides greater data security and control but requires high infrastructure investment

By End-User:

Hospitals and Healthcare Providers – Use analytics for patient care optimization and operational efficiency

Insurance Companies – Leverage analytics for risk assessment, fraud detection, and claims processing

Pharmaceutical Companies – Apply analytics for drug discovery, clinical trials, and market research

Government and Regulatory Bodies – Utilize data analytics for population health management and policy-making

Competitive Landscape and Key Market Players

The healthcare big data analytics market is highly competitive, with major companies investing in AI, machine learning, and cloud technologies to enhance their offerings. Some of the leading companies in the market include:

Allscripts Healthcare solution

Cerner Corporation

Health Analyst

Epic System Corporation

IBM Corporation

Recent Developments

The healthcare big data analytics market has witnessed significant developments in recent years. The increasing integration of AI and machine learning in healthcare analytics has led to improved predictive capabilities and automation in data processing. Cloud-based analytics solutions have gained momentum, enabling remote access to healthcare data and enhancing collaboration among healthcare providers

 Future Outlook and Opportunities

The future of healthcare big data analytics looks promising, with continuous advancements in AI, IoT, and blockchain technology driving innovation in healthcare data management. The adoption of real-time analytics, wearable health monitoring devices, and personalized medicine is expected to grow, leading to improved patient outcomes and operational efficiency.

For more information please visit @marketresearchfuture

[kadambarimmr123]

The healthcare big data analytics market is anticipated to be driven by expanding healthcare infrastructure and technological advancements. The healthcare industry's high operating costs are anticipated to obstruct market expansion.

[techviewindustry]

Big Data Technology Market 2025 Size, Share, Growth Trends Forecast to 2032

The global Big Data Technology Market size is expected to grow from USD 349.40 billion in 2023 to USD 1,194.35 billion by 2032, at a Compound Annual Growth Rate (CAGR) of 14.8% during the forecast period.

The recently released Fortune Business Insights research on the Global Big Data Technology Market survey report provides facts and statistics regarding market structure and size. Global Big Data Technology Market Size 2025 Research report presents an in-depth analysis of the Global Market size, growth, share, segments, manufacturers, and forecast, competition landscape and growth opportunity. The research’s goal is to provide market data and strategic insights to help decision-makers make educated investment decisions while also identifying potential gaps and development possibilities.

Companies Profiled in the Global Big Data Technology Market:

IBM Corporation (U.S.)

KNIME (Switzerland)

Oracle Corporation (U.S.)

Alteryx (U.S.)

Databricks (U.S.)

Tableau (U.S.)

Cloudera, Inc. (U.S.)

com, Inc. (U.S.)

Teradata Corporation (U.S.)

Mongo DB (U.S.)

Market Value to Grow Owing to Surging Adoption of AI, ML, and Data Analytics

One of the major factors presenting lucrative opportunities for market growth is the rising adoption of ML, AI, and data analytics. Business intelligence solutions are deployed in ML tools to find unstructured and structured data. This allows end-users to integrate data analytics and ML with big data technology to gain insights about product quantity and sales to reach the target audience.

However, rising concerns associated with privacy and information security may impede market growth.

What exactly is included in the Report?

– Industry Trends and Developments: In this section, the authors of the research discuss the significant trends and developments that are occurring in the Big Data Technology Market place, as well as their expected impact on the overall growth.

– Analysis of the industry’s size and forecast: The industry analysts have provided information on the size of the industry from both a value and volume standpoint, including historical, present and projected figures.

– Future Prospects: In this portion of the study market participants are presented with information about the prospects that the Big Data Technology Market is likely to supply them with.

– The Competitive Landscape: This section of the study sheds light on the competitive landscape of the Big Data Technology Market by examining the important strategies implemented by vendors to strengthen their position in the global market.

– Study on Industry Segmentation: This section of the study contains a detailed overview of the important Big Data Technology Market segments, which include product type, application, and vertical, among others.

– In-Depth Regional Analysis: Vendors are provided with in-depth information about high-growth regions and their particular countries, allowing them to place their money in more profitable areas.

This Report Answers the Following Questions:

What are the Big Data Technology Market growth drivers, hindrances, and dynamics?

Which companies would lead the market by generating the largest revenue?

How will the companies surge the processes adoption amid the COVID-19 pandemic?

Which region and segment would dominate the Big Data Technology Market in the coming years?

Big Data Technology Market Segments:

By Type

Big Data Storage

Big Data Mining

Big Data Analytics

Big Data Visualization

By End-use Industry

BFSI

Retail

Manufacturing

IT and Telecom

Government

Healthcare

Others (Utility)

By Region

North America (By Type, By End-use Industry, By Country)

U.S.

Canada

Mexico

South America (By Type, By End-use Industry, By Country)

Brazil

Argentina

Rest of South America

Europe (By Type, By End-use Industry, By Country)

U.K.

Germany

France

Italy

Spain

Russia

Benelux

Nordics

Rest of Europe

Middle East & Africa (By Type, By End-use Industry, By Country)

Turkey

Israel

GCC

South Africa

North Africa

Rest of Middle East & Africa

Asia Pacific (By Type, By End-use Industry, By Country)

China

India

South Korea

ASEAN

Oceania

Rest of Asia Pacific

Table Of Content:

1. Introduction 1.1. Research Scope 1.2. Market Segmentation 1.3. Research Methodology 1.4. Definitions and Assumptions

2. Executive Summary

3. Market Dynamics 3.1. Market Drivers 3.2. Market Restraints 3.3. Market Opportunities

4. Key Insights 4.1 Global Statistics — Key Countries 4.2 New Product Launches 4.3 Pipeline Analysis 4.4 Regulatory Scenario — Key Countries 4.5 Recent Industry Developments — Partnerships, Mergers & Acquisitions

5. Global Big Data Technology Market Analysis, Insights and Forecast 5.1. Key Findings/ Summary 5.2. Market Analysis — By Product Type 5.3. Market Analysis — By Distribution Channel 5.4. Market Analysis — By Countries/Sub-regions

……………

11. Competitive Analysis 11.1. Key Industry Developments 11.2. Global Market Share Analysis 11.3. Competition Dashboard 11.4. Comparative Analysis — Major Players

12. Company Profiles

12.1 Overview 12.2 Products & Services 12.3 SWOT Analysis 12.4 Recent developments 12.5 Major Investments 12.6 Regional Market Size and Demand

13. Strategic Recommendations

TOC Continued……………….

[chetanagblog]

Big Data and Data Engineering Services Market is expected to reach USD 240.60 Bn by 2030, at a CAGR of 17.6% during the forecast period.

[prachicmi]

Understanding the Power of Location Analytics

Location analytics is the process of analyzing geospatial and geographic location data to gain meaningful business insights. It involves collecting and interpreting location-based data from various sources like GPS, IP addresses, and zip codes to uncover trends, patterns and relationships. Location Analytics enables businesses to understand customer behaviors based on where they are, where they go, and how often they visit certain places. Location data aids geotargeted online ad campaigns and personalization. Marketer can reach out to customers relevant to their location context and stage of journey. Geo-fencing ensuresRight message is served to Right person at Right place and time. Get more insights on, Location Analytics

[dhirajmarketresearch]