#Data Analytics Market Share

[differenttimemachinecrusade]

Hadoop Big Data Analytics Market Demand, Key Trends, and Future Projections 2032

The Hadoop Big Data Analytics Market size was valued at USD 11.22 billion in 2023 and is expected to Reach USD 62.86 billion by 2032 and grow at a CAGR of 21.11% over the forecast period of 2024-2032

The Hadoop Big Data Analytics market is expanding rapidly as businesses increasingly rely on data-driven decision-making. With the exponential growth of structured and unstructured data, organizations seek scalable and cost-effective solutions to process and analyze vast datasets. Hadoop has emerged as a key technology, offering distributed computing capabilities to manage big data efficiently.

The Hadoop Big Data Analytics market continues to thrive as industries recognize its potential to enhance operational efficiency, customer insights, and business intelligence. Companies across sectors such as healthcare, finance, retail, and manufacturing are leveraging Hadoop’s open-source framework to extract meaningful patterns from massive datasets. As data volumes continue to grow, businesses are investing in Hadoop-powered analytics to gain a competitive edge and drive innovation.

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Market Keyplayers:

Cloudera Inc. (Cloudera Data Platform)

Hortonworks, Inc. (Hortonworks Data Platform)

Hadapt, Inc. (Hadapt)

Amazon Web Services LLC (Amazon EMR)

Outerthought (Outerthought Hadoop)

MapR Technologies, Inc. (MapR Converged Data Platform)

Platform Computing (Platform Symphony)

Karmasphere, Inc. (Karmasphere Analytics)

Greenplum, Inc. (Greenplum Database)

Hstreaming LLC (Hstreaming)

Pentaho Corporation (Pentaho Data Integration)

Zettaset, Inc. (Zettaset Orchestrator)

IBM Corporation (IBM BigInsights)

Microsoft Corporation (Azure HDInsight)

Teradata Corporation (Teradata Analytics Platform)

SAP SE (SAP HANA)

Oracle Corporation (Oracle Big Data Appliance)

Dell Technologies (Dell EMC Isilon)

SAS Institute Inc. (SAS Viya)

Qlik Technologies (Qlik Sense)

Market Trends Driving Growth

1. Increasing Adoption of AI and Machine Learning

Hadoop is being widely integrated with AI and machine learning models to process complex data structures, enabling predictive analytics and automation.

2. Growth in Cloud-Based Hadoop Solutions

The demand for cloud-based Hadoop solutions is rising as businesses look for flexible, scalable, and cost-effective data management options. Leading cloud providers are offering Hadoop-as-a-Service (HaaS) to simplify deployment.

3. Real-Time Data Processing and Streaming Analytics

Organizations are increasingly focusing on real-time data analysis for instant decision-making, leading to the adoption of Hadoop-powered stream processing frameworks like Apache Kafka and Spark.

4. Industry-Specific Hadoop Implementations

Sectors like banking, healthcare, and retail are implementing Hadoop to enhance fraud detection, patient care analytics, and customer behavior analysis, respectively.

5. Growing Demand for Data Security and Governance

With the rise in cybersecurity threats and data privacy regulations, businesses are adopting Hadoop for secure, compliant, and well-governed big data storage and processing.

Enquiry of This Report: https://www.snsinsider.com/enquiry/3517 

Market Segmentation:

By Component

Software

Services

By Application

Risk & Fraud Analytics

Internet of Things (IoT)

Customer Analytics

Security Intelligence

Distributed Coordination Service

Merchandising Coordination Service

Merchandising & Supply Chain Analytics

Others

By End-User

BFSI

IT & Telecommunication

Retail

Government & Defense

Manufacturing

Transportation & Logistics

Healthcare

Others

Market Analysis and Current Landscape

Surging data volumes from IoT, social media, and enterprise applications.

Growing enterprise investment in big data infrastructure.

Advancements in cloud computing, making Hadoop deployments more accessible.

Rising need for cost-effective and scalable data storage solutions.

Challenges such as Hadoop’s complex deployment, data security concerns, and the need for skilled professionals persist. However, innovations in automation, cloud integration, and managed Hadoop services are addressing these issues.

Future Prospects: What Lies Ahead?

1. Advancements in Edge Computing and IoT Analytics

Hadoop is expected to play a key role in processing data from IoT devices at the edge, reducing latency and improving real-time insights.

2. Expansion of Hadoop in Small and Medium Enterprises (SMEs)

As Hadoop-as-a-Service gains popularity, more SMEs will adopt big data analytics without the need for large-scale infrastructure investments.

3. Enhanced Integration with Blockchain Technology

Hadoop and blockchain integration will help improve data security, traceability, and regulatory compliance in industries like finance and healthcare.

4. Automation and No-Code Hadoop Solutions

The emergence of no-code and low-code platforms will simplify Hadoop deployments, making big data analytics more accessible to non-technical users.

5. Continued Growth in Hybrid and Multi-Cloud Hadoop Deployments

Organizations will increasingly adopt hybrid cloud and multi-cloud strategies, leveraging Hadoop for seamless data processing across different cloud environments.

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Conclusion

The Hadoop Big Data Analytics market is poised for sustained growth as businesses continue to harness big data for strategic decision-making. With advancements in AI, cloud computing, and security frameworks, Hadoop’s role in enterprise data analytics will only strengthen. Companies investing in scalable and innovative Hadoop solutions will be well-positioned to unlock new insights, improve efficiency, and drive digital transformation in the data-driven era.

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[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

[dhirajmarketresearch]

[priteshwemarketresearch]

Data Analytics Outsourcing Market Report Includes Dynamics, Products, and Application 2024 –  2033

Data Analytics Outsourcing Market Overview:

The global Data Analytics Outsourcing market was valued at USD 7.90 billion in 2022, and is projected to reach USD 65.34 billion by 2033 at a CAGR of 25.0% from 2022 to 2032. Machine learning and artificial intelligence (AI) technologies have supplanted humans in many data analytics tasks, reducing the need for human manual labor. As a result, the focus of data analytics outsourcing is more on how people can efficiently develop and train a machine learning model than on how companies could oversee an offshore workforce.

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Data Analytics Outsourcing Market Dynamics Data analytics have been used by businesses like Amazon for more than ten years. In order to create algorithms based on the daily demands of its consumers, Amazon collaborates with its own data scientists and analysts. This algorithm increases the chance of a sale by targeting clients with particular products based on data that Amazon gathers about them. Since in-house solutions are costly, small firms rely on third-party solutions to meet their Data Analytics Outsourcing Market needs. Third-party solutions also provide a multitude of knowledge from other sectors and associated enterprises/projects that can directly support the objectives and requirements of the business. As a result, companies are using data analytics outsourcing services to expand their market by gaining access to skilled experts at a reasonable price.

The businesses created new Salesforce Life Sciences Cloud use cases and solutions by utilizing their collaborative generative AI acceleration hub. This facilitates decision-making and operations while also speeding up the deployment of data and analytics capabilities. Additionally, businesses must make accurate and timely decisions in the face of complicated obstacles. Businesses are able to overcome these challenges thanks to the insights that data analytics offers.

Emerging Trends

Adoption of Advanced Technologies

The integration of artificial intelligence (AI) and machine learning (ML) into data analytics outsourcing is transforming how businesses interpret data. These technologies enhance predictive analytics, allowing for more accurate forecasts and insights.

Focus on Data Security

As data breaches become more common, businesses are prioritizing data security when outsourcing analytics. Reputable service providers are investing in robust security measures to protect sensitive information, ensuring compliance with regulations.

Customization and Scalability

Outsourcing partners are increasingly offering tailored solutions that align with specific business needs. This customization, coupled with scalable services, allows companies to adjust their analytics capabilities as they grow.

Benefits of Data Analytics Outsourcing Market

Enhanced Focus on Core Competencies

By outsourcing data analytics, companies can focus on their core business functions while leaving data analysis to experts. This strategic approach enhances overall productivity and efficiency.

Faster Time to Insight

Outsourcing can lead to quicker data analysis and insights. With dedicated teams and advanced tools, outsourced partners can deliver results faster, enabling companies to make timely decisions.

Continuous Support and Innovation

Outsourcing partners often provide ongoing support and updates on the latest analytics trends and technologies, ensuring that businesses remain competitive in a fast-paced market.

Data Analytics Outsourcing Market Key Companies

Accenture,

IBM Corporation,

Cognizant Technology Solutions Corporation,

Capgemini SE,

Wipro Limited, Infosys Limited,

Tata Consultancy Services Limited,

HCL Technologies Limited,

Genpact Limited,

DXC Technology Company,

Fractal Analytics Inc.,

Mu Sigma Inc.,

EXL Service Holdings, Inc.,

NTT Data Corporation,

ZS Associates, Inc.,

Data Analytics Outsourcing Market Segmentation:

By Type

Descriptive

Predictive

Prescriptive

By Industry Vertical

BFSI

Telecom

Retail

Healthcare

Media & Entertainment

Others

Restraining Factors

Since the risk of losing control of data or experiencing a data breach is considerable, data privacy and protection must be ensured during outsourcing. Outsourcing data analytics solutions might cause businesses to worry about how and where their data is stored, as well as if that location is best for their operations, in order to reduce these risks. It's possible that third-party solutions will favor the most affordable or practical option for the business, endangering privacy and security regulations. The necessity to outsource data analytics may therefore decline since outsourcing results in a loss of control over a company's sensitive data.

Regional Insights

There are service providers operating in different parts of the world, making the data analytics outsourcing market a worldwide one. However, because of the high rate of adoption of cutting-edge technology and the widespread presence of well-known service providers, North America is currently the largest market for data analytics outsourcing. Europe is another important Data Analytics Outsourcing Market, and nations like the UK, Germany, and France are fueling regional expansion. The rising use of digital technology and the rising demand for data analytics services in developing nations like China and India are predicted to drive substantial growth in the Asia-Pacific area in the upcoming years.

Big Data Analytics Growth: Businesses are increasingly using big data analytics to obtain insights and make data-driven choices as a result of the massive volumes of data being generated in the MEA region. The region's data analytics outsourcing market is expanding as a result.

Conclusion

The data analytics outsourcing market is set for significant growth as organizations increasingly seek to leverage data for Strategic Advantage. By embracing outsourcing, businesses can access specialized expertise, reduce costs, and enhance their analytical capabilities.

[mi-researchreports]

The Big Data Analytics in Retail Market is expected to reach USD 5.26 billion in 2023 and grow at a CAGR of 21.20% to reach USD 13.76 billion by 2028. SAP SE, Oracle Corporation, IBM Corporation, Hitachi Vantara Corporation, Qlik Technologies Inc. are the major companies.

[ventesb2b]

Content Amplification Tactics: Boosting Visibility Through Distribution

Introduction

In today's digital age, where information is abundant and attention spans are fleeting, creating high-quality content is just the beginning. To truly succeed in the online realm, mastering content distribution is essential. It's not enough to create compelling articles, videos, or infographics; you must also strategically disseminate them to your target audience for maximum reach and engagement. In this blog, we will delve into effective strategies that can help you master content distribution and achieve unparalleled visibility.

1.  Understand Your Audience

Before embarking on any content distribution journey, you must have a deep understanding of your target audience. Who are they? What problems do they face? What interests them? This knowledge will guide your distribution strategy, ensuring your content reaches the right people at the right time. By creating buyer personas and segmenting your audience, you can tailor your distribution channels and messages accordingly.

2.  Leverage Multichannel Distribution

To cast a wide net and maximize your content's exposure, embrace multichannel distribution. This means distributing your content across various platforms, such as social media, email marketing, industry forums, and relevant websites. Each channel has its own unique audience, and by diversifying your distribution, you increase the likelihood of reaching a broader spectrum of potential readers or viewers.

3.  Create a Distribution Calendar

When it comes to content dissemination, consistency is essential. Establish a distribution calendar that outlines when and where you will share your content. This helps maintain a steady flow of information, keeping your audience engaged and informed. Furthermore, a distribution calendar allows you to align your content with important industry events, holidays, and trends for maximum relevance.

lets connect for more insight:  https://ventesb2b.com/contact-2/

4.  Personalize Your Approach

Personalization is a powerful tool in content distribution. Tailor your content to resonate with different segments of your audience. Use data-driven insights to craft personalized messages and recommendations based on your audience's preferences, behaviors, and demographics. Personalized content is more likely to capture attention and foster engagement.

5.  Optimize for SEO

Search engine optimization (SEO) plays a crucial role in content distribution. When your content is optimized for search engines, it becomes more discoverable by those actively seeking relevant information. Conduct keyword research to identify the terms your audience uses to search for content in your niche. Incorporate these keywords naturally into your content and metadata to enhance your content's visibility on search engine results pages.

6.  Embrace Social Media

Platforms for social media dissemination are a veritable mine of content. Choose the platforms where your target audience is most active, and then adjust your content to fit the requirements of each platform's audience and platform's format. Engage with your audience through comments, shares, and direct interactions, fostering a sense of community and building brand loyalty.

7.  Collaborate and Guest Post

Collaboration is a potent tool for expanding the audience for your material. Partner with influencers, industry experts, or complementary brands to co-create or share each other's content. Additionally, guest posting on reputable websites in your industry not only expands your content's reach but also positions you as an authority in your field.

8.  Leverage Email Marketing

Email marketing remains one of the most effective distribution methods. Send newsletters or content updates to your subscriber list, providing them with valuable insights, updates, and resources. Segment your email list to deliver content that aligns with each subscriber's interests, increasing the likelihood of engagement.

9.  Measure and Iterate

To continuously improve your content distribution strategy, you need to measure its effectiveness. Use analytics tools to track key metrics such as website traffic, engagement rates, click-through rates, and social media shares. Analyze this data to identify which distribution channels and strategies are delivering the best results. Adjust your approach accordingly to optimize your content distribution efforts.

Conclusion

Mastering content distribution is a dynamic process that requires a deep understanding of your audience, strategic planning, and ongoing optimization. By leveraging multichannel distribution, personalization, SEO, social media, collaboration, and more, you can ensure your content reaches its intended audience and achieves the maximum reach and impact it deserves. Remember, content distribution is not a one-size-fits-all approach; it requires constant adaptation and refinement to keep

up with changing trends and audience preferences. So, embrace these strategies, measure your results, and continue refining your approach for content distribution success.

Aniket Deshpanade

Sr.Digital Marketink Associate

adeshpande185@gmail.com

www.ventesb2b.com/ New York, USA

[mostlysignssomeportents]

Keir Starmer appoints Jeff Bezos as his “first buddy”

Picks and Shovels is a new, standalone technothriller starring Marty Hench, my two-fisted, hard-fighting, tech-scam-busting forensic accountant. You can pre-order it on my latest Kickstarter, which features a brilliant audiobook read by Wil Wheaton.

Turns out Donald Trump isn't the only world leader with a tech billionaire "first buddy" who gets to serve as an unaccountable, self-interested de facto business regulator. UK PM Keir Starmer has just handed the keys to the British economy over to Jeff Bezos.

Oh, not literally. But here's what's happened: the UK's Competitions and Markets Authority, an organisation charged with investigating and punishing tech monopolists (like Amazon) has just been turned over to Doug Gurr, the guy who used to run Amazon UK.

This is – incredibly – even worse than it sounds. Marcus Bokkerink, the outgoing head of the CMA, was amazing, and he had charge over the CMA's Digital Markets Unit, the largest, best-staffed technical body of any competition regulator, anywhere in the world. The DMU uses its investigatory powers to dig deep into complex monopolistic businesses like Amazon, and just last year, the DMU was given new enforcement powers that would let it custom-craft regulations to address tech monopolization (again, like Amazon's).

But it's even worse. The CMA and DMU are the headwaters of a global system of super-effective Big Tech regulation. The CMA's deeply investigated reports on tech monopolists are used as the basis for EU regulations and enforcement actions, and these actions are then re-run by other world governments, like South Korea and Japan:

https://pluralistic.net/2024/04/10/an-injury-to-one/#is-an-injury-to-all

The CMA is the global convener and ringleader in tech antitrust, in other words. Smaller and/or poorer countries that lack the resources to investigate and build a case against US Big Tech companies have been able to copy-paste the work of the CMA and hold these companies to account. The CMA invites (or used to invite) all of these competition regulators to its HQ in Canary Wharf for conferences where they plan global strategy against these monopolists:

https://www.eventbrite.co.uk/e/cma-data-technology-and-analytics-conference-2022-registration-308678625077

Firing the guy who is making all this happening and replacing him with Amazon's UK boss is a breathtaking display of regulatory capture by Starmer, his business secretary Jonathan Reynolds, and his exchequer, Rachel Reeves.

But it gets even worse, because Amazon isn't just any tech monopolist. Amazon is a many-tentacled kraken built around an e-commerce empire. Antitrust regulators elsewhere have laid bare how Amazon uses that retail monopoly to take control over whole economies, while raising prices and crushing small businesses.

To understand Amazon's market power, first you have to understand "monopsonies" – markets dominated by buyers (monopolies are markets dominated by sellers – Amazon is both a monopolist and a monopsonist). Monopsonies are far more dangerous than monopolies, because they are easier to establish and easier to defend against competitors. Say a single retailer accounts for 30% of your sales: there isn't a business in the world that can survive an overnight 30% drop in sales, so that 30% market share might as well be 100%. Once your order is big enough that canceling it would bankrupt your supplier, you have near-total control over that supplier.

Amazon boasts about this. They call it "the flywheel": Amazon locks in shoppers (by getting them to prepay for a year's worth of shipping in advance, via Prime). The fact that a business can't sell to a large proportion of households if it's not on Amazon gives Amazon near-total power over that business. Amazon uses that power to demand discounts and charge junk fees to the businesses that rely on it. This allows it to lower prices, which brings in more customers, which means that even more businesses have to do business with Amazon to stay afloat:

https://vimeo.com/739486256/00a0a7379a

That's Amazon's version, anyway. In reality, it's a lot scuzzier. Amazon doesn't just demand deep discounts from its suppliers – it demand unsustainable discounts from them. For example, Amazon targeted small publishers with a program called the "Gazelle Project." Jeff Bezos told his negotiators to bring down these publishers "the way a cheetah would pursue a sickly gazelle":

https://archive.nytimes.com/bits.blogs.nytimes.com/2013/10/22/a-new-book-portrays-amazon-as-bully/

The idea was to get a bunch of cheap books for the Kindle to help it achieve critical mass, at the expense of driving these publishers out of business. They were a kind of disposable rocket stage for Amazon.

Deep discounts aren't the only way that Amazon feeds off its suppliers: it also lards junk-fee atop junk-fee. For every pound Amazon makes from its customers, it rakes in 45-51p in fees:

https://pluralistic.net/2023/11/29/aethelred-the-unready/#not-one-penny-for-tribute

Now, just like there's no business that can survive losing 30% of its sales overnight, there's also no business that can afford to hand 45-51% of its gross margin to a retailer. For businesses to survive at all on Amazon, they have to jack their prices up – way up. However, Amazon has an anticompetitive deal called "most favoured nation status" that forces suppliers to sell their goods on Amazon at the same price as they sell them elsewhere (even from their own stores). So when companies raise their prices in order to pay ransom to Amazon, they have to raise their prices everywhere. Far from being a force for low prices, Amazon makes prices go up everywhere, from the big Tesco's to the corner shop:

https://pluralistic.net/2023/04/25/greedflation/#commissar-bezos

Amazon makes so much money off of this scam that it doesn't have to pay anything to ship its own goods – the profits from overcharging merchants for "fulfillment by Amazon" pay for all the shipping, on everything Amazon sells:

https://cdn.ilsr.org/wp-content/uploads/2023/03/AmazonMonopolyTollbooth-2023.pdf

Amazon competes with its own sellers, but unlike those sellers, it doesn't have to pay a 45-51% rake – and it can make its competitor-customers cover the full cost of its own shipping! On top of that, Amazon maintains the pretense that its headquarters are in Luxembourg, the tax- and crime-haven, and pays a fraction of the taxes that British businesses pay to HMRC (and that's not counting the 45-51% tax they pay to Jeff Bezos's monoposony).

That's not the only way that Amazon unfairly competes with British businesses, though: Amazon uses its position as a middleman between buyers and sellers to identify the most successful products sold by its own customers. Then it copies those products and sells them below the original inventor's costs (because it gets free shipping, pays no tax, and doesn't have to pay its own junk fees), and drives those businesses into the ground. Even Jeff "Project Gazelle" Bezos seems to understand that this is a bad look, which is why he perjured himself to the American Congress when he was questioned under oath about it:

https://www.bbc.com/news/business-58961836

Amazon then places its knockoff products above the original goods on its search results page. Amazon makes $38b selling off placement on these search pages, and the top results for an Amazon search aren't the best matches for your query – they're the ones that pay the most. On average, Amazon's top result for a search is 29% more expensive than the best match on the site. On average, the top row of results is 25% more expensive than the best match on the site. On average, Amazon buries the best result for your search 17 places down the results page:

https://pluralistic.net/2023/11/03/subprime-attention-rent-crisis/#euthanize-rentiers

Amazon, in other words, acts like the business regulator for the economies it dominates. It decides what can be sold, and at what prices. It decides whose products come up when you search, and thus which businesses deserve to live and which ones deserve to die. An economy dominated by Amazon isn't a market economy – it's a planned economy, run by Party Secretary Bezos for the benefit of Amazon's shareholders.

Now, there is a role for a business regulator, because some businesses really don't deserve to live (because they sell harmful products, engage in deceptive practices, etc). The UK has a regulator that's in charge of this stuff: the Competition and Markets Authority, which is now going to be run by Jeff Bezos's hand-picked UK Amazon boss. That means that Amazon is now both the official and the unofficial central planner of the UK economy, with a free hand to raise prices, lower quality, and destroy British businesses, while hiding its profits in Luxemourg and starving the exchequer of taxes.

The "first buddy" role that Keir Starmer just handed over to Jeff Bezos is, in every way, more generous than the first buddy deal Trump gave Elon Musk.

Starmer's government claims they're doing this for "growth" but Amazon isn't a force for growth, it's force for extraction. It is a notorious underpayer of its labour force, a notorious tax-cheat, and a world-beating destroyer of local economies, local jobs, and local tax bases. Contrary to Amazon's own self-mythologizing, it doesn't deliver lower prices – it raises prices throughout the economy. It doesn't improve quality – this is a company whose algorithmic recommendation system failed to recognize that an "energy drink" was actually its own drivers' bottled piss, which it then promoted until it was the best-selling energy drink on the platform:

https://pluralistic.net/2023/10/20/release-energy/#the-bitterest-lemon

There's a reason that the UK, the EU, Japan and South Korea found it so easy to collaborate on antitrust cases against American companies: these are all countries whose competition law was rewritten by American technocrats during the Marshall Plan, modeled on the US's own laws. The bedrock of US competition law is 1890's Sherman Act, whose author, Senator John Sherman, declared that:

If we will not endure a King as a political power we should not endure a King over the production, transportation, and sale of the necessaries of life. If we would not submit to an emperor we should not submit to an autocrat of trade with power to prevent competition and to fix the price of any commodity.

https://pluralistic.net/2022/02/20/we-should-not-endure-a-king/

Jeff Bezos is the autocrat of trade that John Sherman warned us about, 135 years ago. And Keir Starmer just abdicated in his favour.

Check out my Kickstarter to pre-order copies of my next novel, Picks and Shovels!

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/01/22/autocrats-of-trade/#dingo-babysitter

Image: UK Parliament/Maria Unger (modified) https://commons.wikimedia.org/wiki/File:Keir_Starmer_2024.jpg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

--

Steve Jurvetson (modified) https://commons.wikimedia.org/wiki/File:Jeff_Bezos%27_iconic_laugh.jpg

CC BY 2.0 https://creativecommons.org/licenses/by/2.0/deed.en

[dhirajmarketresearch]

[astrologydray]

♊️Gemini Mc in the each of the degrees🎭

If you have a Gemini Midheaven (MC), your career and public image are influenced by Gemini’s themes of communication, versatility, and intellectual curiosity. You may thrive in fields involving writing, media, technology, teaching, or sales.

• 0° Gemini (Gemini Point) – A natural communicator and intellectual. Could excel in media, journalism, or public speaking.

• 1° Gemini – Highly curious and adaptable. May pursue multiple careers or work in fast-paced industries.

• 2° Gemini – An engaging storyteller; could thrive in writing, publishing, or broadcasting.

• 3° Gemini – A quick thinker with a sharp mind. Prefers intellectually stimulating careers.

• 4° Gemini – Strong networking abilities. Success comes from making the right connections.

• 5° Gemini – A master of multitasking. Likely to have a career with variety and movement.

• 6° Gemini – Drawn to education, research, or public relations. A natural teacher or speaker.

• 7° Gemini – A witty and persuasive communicator; may succeed in sales or advertising.

• 8° Gemini – Talented with words. Could excel in writing, copywriting, or language-based work.

• 9° Gemini – A restless and curious mind. May struggle with career stability but excels in learning.

• 10° Gemini – Highly sociable; could be a media personality, influencer, or journalist.

• 11° Gemini – Gifted in technology or digital communication. Could work in social media, IT, or AI fields.

• 12° Gemini – Strong intuition for trends and information. Could thrive in consulting or marketing.

• 13° Gemini – A strong need for intellectual independence. Prefers freelance or flexible career paths.

• 14° Gemini – Charismatic and persuasive; a great public speaker or negotiator.

• 15° Gemini – Quick-witted and sharp. Could thrive in legal work, politics, or academia.

• 16° Gemini – Adaptable but needs to focus on long-term career goals. May switch jobs frequently.

• 17° Gemini – A highly creative mind. Could excel in advertising, writing, or entertainment.

• 18° Gemini – A gifted mimic. Could be successful in acting, voice work, or linguistics.

• 19° Gemini – Intellectually restless; needs a career that keeps them mentally engaged.

• 20° Gemini – Naturally persuasive and influential. Could thrive in leadership or media roles.

• 21° Gemini – Highly analytical; may be drawn to careers in data analysis, research, or science.

• 22° Gemini – A master of adaptation. Could work in multiple fields or juggle side hustles.

• 23° Gemini – A strong love for debate and discussion. May be drawn to law or philosophy.

• 24° Gemini – A creative storyteller. Success in journalism, screenwriting, or podcasting.

• 25° Gemini – Exceptionally sharp and quick-thinking; could be drawn to stock trading or strategic consulting.

• 26° Gemini – A love for teaching and sharing knowledge. Could be a professor, coach, or mentor.

• 27° Gemini – Highly independent; prefers self-employment or careers with autonomy.

• 28° Gemini – A media-savvy individual. Likely to gain public recognition through words or ideas.

• 29° Gemini (Anaretic Degree) – A master communicator with an intense drive for knowledge. Could become famous for their intellect, writing, or public speaking. However, they may struggle with indecision or restlessness in their career path.

[mariacallous]

The Consumer Financial Protection Bureau (CFPB) has canceled plans to introduce new rules designed to limit the ability of US data brokers to sell sensitive information about Americans, including financial data, credit history, and Social Security numbers.

The CFPB proposed the new rule in early December under former director Rohit Chopra, who said the changes were necessary to combat commercial surveillance practices that “threaten our personal safety and undermine America’s national security.”

The agency quietly withdrew the proposal on Tuesday morning, publishing a notice in the Federal Register declaring the rule no longer “necessary or appropriate.”

The CFPB received more than 600 comments from the public this year concerning the proposal, titled Protecting Americans from Harmful Data Broker Practices. The rule was crafted to ensure that data brokers obtain Americans’ consent before selling or sharing sensitive personal information, including financial data such as income. US credit agencies are already required to abide by such regulations under the Fair Credit Reporting Act, one of the nation’s oldest privacy laws.

In its notice, the CFPB’s acting director, Russell Vought, wrote that he was withdrawing the proposal “in light of updates to Bureau policies,” and that it did not align with the agency’s “current interpretation of the FCRA,” which he added the CFPB is “in the process of revising.”

The CFPB did not immediately respond to a request for comment.

Data brokers operate within a multibillion-dollar industry built on the collection and sale of detailed personal information—often without individuals’ knowledge or consent. These companies create extensive profiles on nearly every American, including highly sensitive data such as precise location history, political affiliations, and religious beliefs. This information is frequently resold for purposes ranging from marketing to law enforcement surveillance.

Many people are unaware that data brokers even exist, let alone that their personal information is being traded. In January, the Texas Attorney General’s Office, led by attorney general Ken Paxton, accused Arity—a data broker owned by Allstate—of unlawfully collecting, using, and selling driving data from over 45 million Americans to insurance companies without their consent.

The harms from data brokers can be severe–even violent. The Safety Net Project, part of the National Network to End Domestic Violence, warns that people-search websites, which compile information from data brokers, can serve as tools for abusers to track down information about their victims.

Last year, Gravy Analytics—which processes billions of location signals daily—suffered a data breach that may have exposed the movements of millions of individuals, including politicians and military personnel.

“Russell Vought is undoing years of painstaking, bipartisan work in order to prop up data brokers’ predatory, and profitable, surveillance of Americans,” says Sean Vitka, executive director of Demand Progress, a nonprofit that supported the rule. Added Vitka: “By withdrawing the CFPB’s data broker rulemaking, the Trump administration is ensuring that Americans will continue to be bombarded by scam texts, calls and emails, and that military members and their families can be targeted by spies and blackmailers.”

Vought, who also serves as director of the White House Office of Management and Budget, received a letter on Monday from the Financial Technology Association (FTA) calling for the rule to be withdrawn, claiming the rules exceed the agency’s statutory mandate and would be “harmful to financial institutions’ efforts to detect and prevent fraud.” The FTA is a US-based trade organization that represents the interests of banks, lenders, payment platforms, and their executives.

Privacy advocates have long pressed regulators to use the Fair Credit Reporting Act to crack down on the data broker industry. Common Defense, a veteran-led nonprofit, urged the CFPB to take action in November, blaming data brokers for recklessly exposing sensitive information about US service members that placed them at “substantial risk” of being blackmailed, scammed, or targeted by hostile foreign actors.

A 2023 study cited by the group—funded by the US Military Academy at West Point—concluded that the current data broker ecosystem is a threat to US national security, permitting the sale of sensitive personal data that can be used not only to identify service members and “other politically sensitive targets,” but also to offer details about medical conditions, financial problems, and political and religious beliefs. “Foreign and malign actors with access to these datasets could uncover information about high-level targets, such as military service members, that could be used for coercion, reputational damage, and blackmail,” the authors report.

Common Defense political director Naveed Shah, an Iraq War veteran, condemned the move to spike the proposed changes, accusing Vought of putting the profits of data brokers before the safety of millions of service members. "For the sake of military families and our national security, the administration must reverse course and ensure that these critical privacy protections are enacted," Shah says.

Investigations by WIRED have shown that data brokers have collected and made cheaply available information that can be used to reliably track the locations of American military and intelligence personnel overseas, including in and around sensitive installations where US nuclear weapons are reportedly stored.

WIRED reported in February that US data brokers were using Google's ad-tech tools to sell access to information about devices linked to military service members and national security decisionmakers, as well as federal contractors that manufacture and export classified defense-related technologies. Experts say it proves trivial for foreign adversaries to de-anonymize the data.

"Data brokers inflict severe harm on individuals by degrading privacy, threatening national security, enabling scams and fraud, endangering public officials and survivors of domestic violence, and putting immigrant populations at risk,” says Caroline Kraczon, law fellow at the Electronic Privacy Information Center focused on consumer protection.

“The CFPB had a critical opportunity to address these harms by clarifying that data brokers must follow the Fair Credit Reporting Act,” adds Kraczon. “This withdrawal is deeply disappointing and another attack in the administration’s war against consumers on behalf of corporate interests."

Last month, more than 1,400 CFPB employees had their positions at the agency terminated, leaving the agency with a staff of around 300 people. Elon Musk, whose so-called Department of Government Efficiency (DOGE) has spearheaded the White House's efforts to radically restructure the federal government by slashing the size of its workforce, last November called on President Donald Trump to “delete” the CFPB, whose job includes shielding Americans from predatory lending practices.

[kccinstitutes]

🎓✨ Unlock the Future of Tech with Dr. Surabhi Pandey!

We were honored to have Dr. Surabhi Pandey, a leading expert in Cloud Computing, Cyber Security, Data Analytics, and Digital Marketing, share her vast knowledge at our B Tech Orientation. With 18+ years of experience, she emphasized the power of digital leadership and staying ahead of the curve in an ever-evolving tech landscape. 🌐🚀

Dr. Pandey's work has been recognized by top institutions, including the Indian Army and the 3E Innovative Foundation, and she continues to set new benchmarks as a key member of the Bureau of Indian Standards (BIS). Her insights inspire us to drive innovation and adapt to the digital age!

👉 Watch the reel to gain valuable takeaways on the future of technology, leadership, and embracing change.

[cosmic-daydreamz02]

Career Reading

Placements to look at for your ideal career:

2nd house-how you make money

6th house-daily routine and work

10th house-career and public image

MC- career point.

11th house-social networks, long-term goals, opportunities for advancement (2nd from MC, so it shows the income from the career)

North Node - your life purpose and direction ; what you are meant to move towards in this lifetime

Part of Fortune - Where you find joy and success in this life, linked to both material and spiritual fulfillment

Vertex - represents fated encounters in your life. Where and how your destiny unfolds/ your turning point in life (not normally linked to career, but I think it can show what leads you to your true calling in this life especially if yours is in one of the money or career houses)

Saturn- rules discipline, structure, and long-term achievement, where you need to put in consistent effort to achieve success. Indicates your approach to responsibility in your career

Sun- core identity and life purpose, where you shine the most

Jupiter- expansion luck and growth. It shows your opportunities for success

Venus - where you can use your artistic abilities and social charm. It can also be how you attract money and resources

Signs and Career

Aries

• Career style: Assertive, pioneering, energetic, independent.

• Fields: Leadership roles, entrepreneurship, sports, military, anything involving action or competition.

• Drive: You take initiative and thrive in dynamic, fast-paced environments where you can be first.

Taurus

• Career style: Steady, practical, patient, and value-oriented.

• Fields: Finance, banking, agriculture, real estate, art, luxury goods, anything involving material wealth or beauty.

• Drive: Security, stability, and a focus on building long-term wealth. Aesthetic and sensory satisfaction are important.

Gemini

• Career style: Communicative, versatile, adaptable, intellectual.

• Fields: Journalism, writing, teaching, marketing, sales, technology, anything that involves communication or travel.

• Drive: Curiosity and intellectual stimulation. You thrive in dynamic, social environments where you can multitask.

Cancer

• Career style: Nurturing, protective, intuitive, emotionally driven.

• Fields: Healthcare, caregiving, real estate, hospitality, education, psychology, anything that involves caring for others.

• Drive: Emotional security and a need to create a safe, supportive environment. You work best when you feel connected to your work on an emotional level.

Leo

• Career style: Charismatic, creative, confident, leadership-focused.

• Fields: Entertainment, arts, fashion, politics, sports, anything involving self-expression and performance.

• Drive: Recognition, fame, and the desire to shine. You excel in careers where you can showcase your talents and leadership.

Virgo

• Career style: Detail-oriented, analytical, service-minded, organized.

• Fields: Healthcare, administration, research, editing, writing, data analysis, anything involving precision and service.

• Drive: Efficiency and perfection. You aim to serve others by improving systems or contributing to something meaningful.

Libra

• Career style: Diplomatic, collaborative, partnership-oriented, aesthetically inclined.

• Fields: Law, diplomacy, art, design, beauty, fashion, anything involving partnership or justice.

• Drive: Harmony and balance in professional relationships. You thrive in roles where teamwork, fairness, and aesthetics are valued.

Scorpio

• Career style: Intense, transformative, secretive, powerful.

• Fields: Psychology, research, finance (especially investments, taxes, inheritance), surgery, anything involving transformation or mystery.

• Drive: Power and control. You are drawn to careers that allow you to dig deep and uncover hidden truths or manage shared resources.

Sagittarius

• Career style: Adventurous, philosophical, expansive, freedom-loving.

• Fields: Education, travel, law, publishing, international business, anything that involves exploration and knowledge-sharing.

• Drive: Freedom and expansion. You seek opportunities that allow you to learn, grow, and explore new horizons.

Capricorn

• Career style: Ambitious, disciplined, authoritative, responsible.

• Fields: Business, politics, government, finance, engineering, management, anything that involves structure, authority, and long-term goals.

• Drive: Success and achievement. You are career-focused and work tirelessly toward building a solid reputation and legacy.

Aquarius

• Career style: Innovative, humanitarian, unconventional, forward-thinking.

• Fields: Technology, science, social reform, innovation, group work, anything involving progressive change or social impact.

• Drive: Making a difference and creating a better future. You work best in collaborative or unconventional environments that allow for innovation.

Pisces

• Career style: Compassionate, imaginative, spiritual, idealistic.

• Fields: Art, music, healing, psychology, spirituality, charity work, anything that involves creativity, intuition, or service to others.

• Drive: Helping others and finding deeper meaning. You’re drawn to careers where you can use your empathy and creativity to make a positive impact.

Houses and Career Focus

1st House (Self-Identity, Public Persona)

You identify closely with your career. You're meant for careers where you're the leader or face of whatever you do, you're meant to be in the public eye somehow.

2nd House (Money, Resources, Values)

Financial stability and security is what drives you in your career. You would do good in careers related to banking and finance or sales (more like selling luxury goods or real estate)

3rd House (Communication, Learning, Siblings)

Communication, education, and travel. Or working in media. Teaching, writing, or sales/ anything that involves exchanges of info

4th House (Home, Family, Roots)

Home design, family business, real estate. Care giving or working from home. Emotional fulfillment through your career

5th House (Creativity, Pleasure, Children)

Creative fields, working with children. Career allows for self-expression. performance or leadership roles

6th House (Work Environment, Health, Service)

Service industry, Healthcare (especially if you have heavy virgo/pisces or 6th/12th placements), administration, work that requires tedious precision and detail

7th House (Partnerships, Marriage)

Collaboration, requires partnerships in career. Law, any counseling/consulting work, diplomat

8th House (Shared Resources, Transformation)

Finance (other peoples money like taxes, inheritance, etc), psychology, research/investigation

9th House (Philosophy, Travel, Higher Education)

Higher education, travel, law, publishing, career could be linked to foreign lands, (travel vlogger, professor, resort owner?)

10th House (Career, Reputation, Public Life)

Leadership, recognition, achieving goals, public image and success are emphasized

11th House (Community, Goals, Social Networks)

Community service/humanitarian work, technology, collective work

12th House (Spirituality, Solitude, Healing)

Healing, spirituality, charity work, hospitals, or creative/behind the scenes work like set design, director etc