#Big Data Market Share

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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.

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The Big Data Healthcare Market will grow at highest pace owing to rising need for data-driven healthcare services

The big data healthcare market involves collecting and analyzing large and complex data sets generated from various sources like electronic health records, radiology and imaging reports, hospital administration systems, mobile health applications, and sensors to provide insights that improve patient outcomes and reduce overall healthcare costs. Big data analytics in healthcare provides numerous advantages such as enabling accurate diagnoses, facilitating individualized treatments based on personal genomic profiles, and reducing rates of readmissions and medical errors.

The global big data healthcare market is estimated to be valued at US$ 52,629.8 million in 2024 and is expected to exhibit a CAGR of 25% over the forecast period of 2023 to 2030. Key Takeaways Key players operating in the big data healthcare market include Innovaccer Inc., SAS Institute Inc., Optum Inc., Oracle Corporation, Dell Technologies Inc., Epic Systems Corporation, GE Healthcare (GE Company), Cerner Corporation, Allscripts Healthcare Solutions Inc., and International Business Machines Corporation (IBM), among others. These key players are focusing on developing innovative big data analytics solutions and services to gain a competitive advantage in the market. The growing demand for data-driven healthcare services and increasing adoption of digital technologies is one of the major factors driving the growth of the big data healthcare market. Various healthcare organizations and providers are increasingly utilizing big data and real-time analytics to gain meaningful insights from disparate data sources that help enhance decision making and provide better outcomes. Technological advancements in big data analytics, artificial intelligence, and machine learning are further assisting healthcare professionals in acquiring real-time insights from the whole patient history and past treatments to deliver efficient and personalized healthcare services. AI-powered tools analyze genomic data and help clinicians in faster diagnosis and defining personalized treatment plans. Market Trends Rising investments by pharma companies in big data analytics to boost drug discovery and development activities. Drugmakers are utilizing real-time big data insights towards R&D of new molecular entities and formulations with efficacy. Growing adoption of precision medicine and personalized treatment approaches driven by genomics is another key trend witnessed in the market. Market Opportunities Increasing digitization of patient health records in developing nations provides huge opportunities for key players. Integration of IoT-based medical devices and wearables with big data platforms will further enhance applications of real-time healthcare monitoring and chronic disease management. Development of AI-assisted clinical decision support systems also presents lucrative growth prospects. Impact of COVID-19 on Big Data Healthcare Market Growth The COVID-19 pandemic has significantly impacted the growth of the big data healthcare market. Before the pandemic, telehealth and remote patient monitoring were not widely adopted. However, during the pandemic, there was a surge in digitization of healthcare with the implementation of telehealth solutions on a large scale. Healthcare organizations started leveraging big data analytics to better understand the spread of the virus and patient outcomes. Data related to virus symptoms, treatment pathways, clinical trials, vaccine research, and more was gathered and analyzed using big data tools. This helped medical researchers and policymakers make data-driven decisions to curb the virus spread and save lives. However, during the initial months of the pandemic, lack of infrastructure and resources impacted the collection of COVID-19 related data from hospitals and clinics. There were also privacy and security challenges around data sharing among different stakeholders. As the pandemic progressed, more funding was provided for big data infrastructure development. Data standards were established and privacy laws were adapted to facilitate secure data sharing. In the post-COVID era, healthcare systems are now more digitally mature and value the role of big data in delivering value-based and preventive care. Telehealth is expected to remain popular. Overall, while the pandemic initially slowed growth, it accelerated the adoption of big data in the long run.

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Big Data Consulting Market - Forecast(2024 - 2030)

Big Data Consulting Market - Overview

The Big Data Consulting market size is forecast to reach USD 36,751.2 million by 2030, after growing at a CAGR of 13.9% during the forecast period 2024-2030. The market for Big Data Consulting industry is influenced by continuous technological advancements, with a focus on innovative solutions such as artificial intelligence and machine learning, driving the demand for expert consulting services. Additionally, the surge in consumer demand for advanced analytics and data-driven insights contributing to the growth of the Big Data Consulting market, as businesses seek strategic guidance to harness the power of large datasets. As businesses seek to maximize the value of their data, the digital transformation wave has raised demand for Big Data consulting services. Big Data trends show a greater emphasis on information quality and better governance, highlighting the necessity of having accurate and reliable data for decision-making. Data as a service, responsible AI predictive analytics, and quantum computing are transforming the Big Data analytics landscape. Businesses acknowledge the importance of data in creating deeper relationships with customers, developing better goods, and optimizing services in 2023. Big data consulting is critical in assisting firms through this data-driven transformation. Governments are rapidly recognizing the value of digital transformation, which has resulted in significant investments in big data technology to boost economic development and efficiency. Governments are eager to maximize the value produced from big data while also mitigating the hazards connected with AI, demonstrating a balanced approach to technological adoption.

Report Coverage

The report “Big Data Consulting Market – Forecast (2024-2030)”, by IndustryARC, covers an in-depth analysis of the following segments of the Big Data Consulting market.

By Type: Solutions, Services.

By Deployment Type: Cloud, On premises and Hybrid

By Organization Size: SME, Large Enterprises

By Application: Data Strategy Consulting, Data Assessment, Analytics, Design and Architectural Consultation, Implementation, Capacity Planning, Performance and Opportunity Analysis, Customer Insights and Others

By End Use Industry: BFSI, Transportation, Government and Defense, Healthcare and Life sciences, Education and Research, IT and Telecom, Retail and Others

By Geography:  North America, South America, Europe, APAC, and RoW.

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Key Takeaways

• North America held the largest market share with 36% in 2023. The growth of Big Data consulting in the U.S. is attributed to several factors,

including the escalating volume of data generated, the evolution of advanced analytics technologies, and the rising awareness among enterprises about the strategic advantages of data-driven decision-making.

• Organizations are recognizing the value of harnessing data-driven insights to make informed business decisions, driving the demand for expert consulting services. Moreover, the proliferation of emerging technologies like artificial intelligence and machine learning is amplifying the need for robust Big Data solutions, further fueling the consulting market's growth.

• In April 2022, Deloitte Canada acquired MDB Insight Inc. to strengthen its Economic Advisory talents and leadership, as well as to expand its existing solutions for public sector and mid-market customers. MDB Insight, with over 15 years of experience, combines comprehensive knowledge in economic and workforce development with new tools and research methodologies to create practical answers and assist organizations in overcoming both commercial and policy difficulties.

By Type - Segment Analysis

Solutions dominated the Big Data Consulting market in 2023. The big data consulting market encompasses a variety of solutions to help businesses leverage large volumes of data for actionable insights like Data Analytics and Business Intelligence, Data Integration and Management and Data Warehousing. As marketing agencies have accumulated more data over time, there has been a need to compress their data and companies have started to rely on data compression in data warehousing methodologies, Thus Big data consultancy in terms of solutions type will see a surge in recent times. Gartner presents AI TRiSM as one of the concepts that will help organizations ensure AI model governance, trustworthiness, fairness, reliability, robustness, efficacy, and data protection. Which they claim will be 50% more successful in terms of adoption and thereby impacting the solution type of Big Data Consulting. The implementation of privacy regulations such as the GDPR in the EU, the CCPA in the USA, and the LGPD in Brazil have set building blocks for data security, which will provide more reliability to data-based solutions in upcoming times.

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By End Use Industry - Segment Analysis

Banking, Financial Services and Insurance (BFSI) dominated the Big Data Consulting market in 2023. Big data consultancy is vital in the BFSI sector, handling vast amounts of daily data, including customer information, financial transactions, market data, and regulatory compliance. It plays a crucial role in leveraging data for valuable insights, operational efficiency, enhanced customer experiences, and meeting regulatory requirements. Federal Trade commission report has stated that credit card fraud is the most prevalent identity theft with 805,000 reports have been filed with the FTC through three quarters of 2023. To overcome these threats BFSI industry has been looking up to Big Data consultancy to control the thefts and cut down losses. The organizational recommendation by Association of Certified Fraud Examiners (ACFE) has emphasized on the use of Big Data and Machine Learning-Artificial Intelligence for it is essential for better customer experience, ensure high fraud detection rate and help identify and fix weaknesses in the system, so it is safe to conclude that the BFSI sector will look towards adapting to big data consultancy in the recent times.

By Geography - Segment Analysis

North America Big Data Consulting market generated a revenue of $5,201 million in 2023 and is projected to reach a revenue of $11,324 million by 2030 growing at a CAGR of 11.6% during 2024-2030. The APAC Big Data Consulting market is projected to experience significant growth during the forecast period. The demand for Big Data consulting services in the United States is witnessing substantial growth, positioning itself as a cornerstone in the ever-evolving landscape of data analytics. In May 2023, IBM introduced IBM watsonx, a new AI and data platform at its annual Think conference, which would enable organizations to scale and accelerate the effect of the most sophisticated AI with trustworthy data. Enterprises that are embracing AI today require access to a full technology stack that allows them to train, tune, and deploy AI models, including foundation models and machine learning capabilities, across their organization with trusted data, speed, and governance - all in one place and across any cloud environment.

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Drivers – Big Data Consulting Market

Rising Consultancy Surrounding Development of Big Data Architecture

Big Data Consulting advises organizations on Big Data, strategy, implementation, and technology that is most suited to managing data collections. Many distinct Big Data initiatives have been undertaken around the world to develop many Big Data models, frameworks, and new technologies to provide additional storage capacity, real-time analysis, and parallel processing of various enormous amounts of data from heterogeneous sources. The Big Data Consulting Market is comprised of two primary strategists, Data Strategist/Architect and Data Scientist/Analyst, whose roles are to analyze business problems, define solutions, optimize solutions, and implement solutions this will push the market forward. In October 2023, The X5 Group, a renowned Russian food retailer, enhanced the capabilities of Dialog.X5, its digital platform for suppliers, with the introduction of a big data analytics solution for suppliers that allows for quick and easy data retrieval. Using X5 DataBridge, X5's partners will be able to swiftly develop whatever report they require, leveraging X5's analytics and combining data from other retailers or data platforms.

Rising Amount of Data Generated by Organizations

The increasing volume of data generated by organizations has resulted in an increase in Big Data consulting services. As firms deal with huge amounts of data, they need expertise in maximizing its value. Organizations are increasingly implementing digital transformation initiatives, which is growing demand for Big Data consulting services to maximize data consumption and decision-making processes. One of the current trends in the Big Data Consulting Market is that it is becoming increasingly popular and in-demand as storage capacity in terms of Terabyte and Petabyte of Big Data generated by enterprises increases. It is extensively used because it can manage enormous amounts of data while scaling to accommodate growth and providing input and output data to analytical tools for analysis. In June 2023, Nielsen, a global leader in audience measurement, data, and analytics, has launched Nielsen Media Data Room (MDR), a cloud-based platform that will modernize how the firm distributes its vast audience data. As census first-party data from clients becomes more crucial in measurement, this significant breakthrough will give organizations with the means to access and share enormous data sets in an efficient and privacy-safe manner.

Challenges – Big Data Consulting Market

Concerns Regarding Data Privacy

Big Data trends include a greater emphasis on AI and ML technology. However, this integration poses questions about preserving information quality and governance, necessitating careful evaluation of the implications for data privacy. The most difficult issue with Big Data is the delicate issue of data privacy and security, which most firms are dealing with. The implementation of GDPR legislation has brought consumer data privacy concerns to the forefront. Concerns about privacy are rising as firms feed more and more customer and vendor data into complex, AI-powered algorithms, resulting in the creation of additional sensitive information unknown to affected consumers and employees. This is especially true in the financial services industry, where consumer data collecting has been at the forefront of big data concerns. These concerns about data privacy may stymie the uptake of Big Data consulting solutions. Organizations are grappling with the need to manage AI threats and maintain acceptable data practices in order to protect individual privacy. Gartner's recognition of "Managing AI Risk" as a trend emphasizes the need of tackling these problems in the big data ecosystem. The prominent big data technology Apache Hadoop emphasizes distributed data processing. However, as businesses implement such technologies, they must handle privacy concerns related to the massive amounts of data being processed.

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Market Landscape

 Technology launches, acquisitions, and Partnership activities are key strategies adopted by players in the Big Data Consulting market. in 2023, The major players in the Big Data Consulting market are Accenture, Amazon Web Services, Dell, HP Inc. IBM, Oracle, SAP and Others.

Developments:

 In September 2023, Oracle and Microsoft have announced Oracle Database@Azure, which gives customers direct access to Oracle database services running on Oracle Cloud Infrastructure (OCI) and deployed in Microsoft Azure datacenters.

 In May 2023, SAP SE and Google Cloud announced an extensive expansion of their partnership, introducing a comprehensive open data offering designed to simplify data landscapes and unleash the power of business data.

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Big Data Platform Market Size, Segments, Growth and Trends by Forecast to 2031

The Insight Partners latest offering, titled “Big Data Platform Market Size and Share Analysis to 2031,” provides comprehensive insights for startups and big market players. The report covers industry performance, risk factors, growth determinants, economics of cost, and ROI streams. It combines qualitative and primary research methods, making it an essential product for companies, investors, and business strategists aiming to excel in the Big Data Platform market in a projected timeframe.

Market Overview

Big Data Platform market has experienced dynamic transformations in recent years, anticipated to remain an investible domain for investors in the projected time. The market is propelled by consumer preferences, regulatory parameters, and advancements in technology. Concurrently, the surge in automation has favored Big Data Platform market share expansion. Advancements in manufacturing technologies have made the Big Data Platform market viable and accessible, which is further expected to contribute to market growth.

In confluence with the aforementioned growth drivers, the Big Data Platform market is also gauged for restraints and trends. The emerging trends in the market are analyzed in this chapter to assist market players in trying to retain their competitive edge. Strategic insights on key players and their tactics are perks of this research. This section brings forward different organic business strategies, strategic partnerships, and collaborations in the Big Data Platform market.

Market Segmentation

To adequately aid their customers in a competitive Big Data Platform market, enterprises must educate themselves on key segments. Streamlining market approaches is an effective application of market research. The market segmentation section focuses on product, application, and regional categories. Understanding demographics and high-ROI geographical regions helps entrepreneurs optimize their products. 

Regional Insights

The report attempts to explore both global and regional market aspects through authorized sources. Regional share, trends, key market players, and future scope are perks under this section.

Report Attributes

Details

Segmental Coverage

Offering

Solution

Service

Deployment

On-premises

Cloud

End-user

BFSI

IT and Telecom

Government

Others

Regional and Country Coverage

North America (US, Canada, Mexico)

Europe (UK, Germany, France, Russia, Italy, Rest of Europe)

Asia Pacific (China, India, Japan, Australia, Rest of APAC)

South / South & Central America (Brazil, Argentina, Rest of South/South & Central America)

Middle East & Africa (South Africa, Saudi Arabia, UAE, Rest of MEA)

Market Leaders and Key Company Profiles

1010data, Inc.

Cloudera, Inc.

IBM

Microsoft Corporation

Oracle Corporation

Pivotal Software, Inc.

SAP SE

Sisense

Teradata Corporation

Vertica Systems

Other key companies 

Need a Customized Market Research Report?

You can always share any specific requirements that you have, and our team will adjust the scope of research offerings as per your needs. the following are some customizations our clients ask for:

The report can be customized based on specific regions/countries as per the intention of the business

The report production was facilitated as per the need and following the expected time frame

Insights and chapters tailored as per your requirements.

Depending on the preferences we may also accommodate changes in the current scope.

Key Questions Addressed in the Big Data Platform Market Research Include:

What are present Big Data Platform market values, and what can be expected in the upcoming decade?

What are the key segments in the Big Data Platform market?

What is the regional distribution of the Big Data Platform market report?

What are the key players and their recent strategies?

What are the key factors driving Big Data Platform market growth?

What are regulatory concerns and requirements businesses have to compel?

Our Unique Research Methods at The Insight Partners

We offer syndicated market research solutions and consultation services that provide complete coverage of global markets. This report includes a snapshot of global and regional insights. We pay attention to business growth and partner preferences, that why we offer customization on all our reports to meet individual scope and regional requirements.

Our team of researchers utilizes exhaustive primary research and secondary methods to gather precise and reliable information. Our analysts cross-verify facts to ensure validity. We are committed to offering actionable insights based on our vast research databases.

About Us:

The Insight Partners is a one-stop industry research provider of actionable intelligence. We help our clients in getting solutions to their research requirements through our syndicated and consulting research services. We specialize in industries such as Semiconductor and Electronics, Aerospace and Defense, Automotive and Transportation, Biotechnology, Healthcare IT, Manufacturing and Construction, Medical Devices, Technology, Media and Telecommunications, Chemicals and Materials.

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Global Big Data Market, Market Size, Market Share, Key Players| BIS Research

 

The Global Big Data Market Report provides a comprehensive analysis of the current trends, market dynamics, and future prospects of the big data industry on a global scale. This report is essential for businesses, investors, and stakeholders seeking insights into the evolving landscape of big data.

Market Overview:

The increasing adoption of wearable devices, at-home testing services and health applications that are empowering patients to proactively manage their health are further contributing to the pool of personal data. The availability of large volumes of health information has paved the way for massive advances in clinical research, development of precision medicine and clinical decision support tools, quicker drug discovery and more detailed view of population health, which has opened new arrays for managing chronic diseases.

The research study is a compilation of various segmentations including the market breakdown by components and services, by application, and by region. 

Size and Growth: Evaluate the current size of the global big data market and its growth trajectory over recent years.

Key Drivers: Identify the primary factors fueling the expansion of the big data market, such as increasing data volume, technological advancements, and growing demand for analytics.

Key Players Global Big Data Market Report 

Aetna, Inc.

Allscripts Healthcare Solutions, Inc.

Epic Systems

GE Healthcare

IBM Corporation

Oracle Corporation

And many others 

Market Segmentation:

By Component: Breakdown of the market based on components like hardware, software, and services.

By Deployment Model: Analysis of big data solutions deployed on-premises, in the cloud, or in hybrid environments.

By Application: Exploration of diverse applications, including data analytics, business intelligence, and machine learning.

Regional Analysis:

Examine the big data market's performance and trends across different regions, considering factors like regional economic conditions, technological adoption, and regulatory environments.

Competitive Landscape:

Key Players: Highlight major companies operating in the big data space and their market share.

Strategies: Analyze the strategies employed by key players for market expansion, innovation, and competitive advantage.

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Challenges and Opportunities:

Challenges: Address obstacles facing the big data market, such as data privacy concerns, security issues, and integration complexities.

Opportunities: Explore emerging opportunities, market niches, and potential areas for growth within the big data sector.

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Future Outlook:

Provide insights into the anticipated trends, innovations, and market developments expected to shape the future of the global big data market.

Conclusion:

Summarize key findings, trends, and predictions outlined in the report, offering valuable insights for businesses and stakeholders navigating the dynamic landscape of the big data industry.

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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.

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Big Data in Agriculture Market Size, Share, Analysis, Growth

Big Data in Agriculture Market Size is valued at USD 718.3 million in 2022 and is expected to reach a value of USD 2,181.7 million by 2029

The global Big data in agriculture market size was valued at USD 718.3 million in 2022 and is poised to grow at a significant CAGR of 17.2% during the forecast period 2023-29. It also includes market size and projection estimations for each of the five major regions from 2023 to 2029. The research report includes historical data, trending features, and market growth estimates for the future. Furthermore, the study includes a global and regional estimation and further split by nations and categories within each region. The research also includes factors and barriers to the Big data in agriculture market growth, as well as their impact on the market's future growth. The report gives a comprehensive overview of both primary and secondary data.  

View the detailed report description here - https://www.precisionbusinessinsights.com/market-reports/big-data-in-agriculture-market                          

The global Big data in agriculture market segmentation: 1) By Solution : Hardware, Software, Services.

2) By Operation on Data : Capturing Data, Storing Data, Sharing Data, Analyzing Data Others.

3) By Application : Chemical Analytics, Weather Analytics, Financial Analytics, Administrative Analytics, Crop Production Analytics, Social Analytics, Farmland/ Equipment Analytics Others.

4) By End User : Farmers, Agriculture Regulatory Bodies, Weather Forecast, Agrochemical Industry, Farm Equipment Industry Others

The primary factors of the Big data in agriculture market drivers are the rising adoption of urban farming practices. The Big data in agriculture market report helps to provide the best results for business enhancement and business growth. It further helps to obtain the reactions of consumers to a novel product or service. It becomes possible for business players to take action for changing perceptions. It uncovers and identifies potential issues of the customers. It becomes easy to obtain the reactions of the customers to a novel product or service. It also enlightens further advancement, so it suits its intended market.

The Big data in agriculture marketresearchreport gives a comprehensive outlook across the region with special emphasis on key regions such as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. North America was the largest region in the Big data in agriculture market report, accounting for the highest share in 2022. It was followed by Asia Pacific, and then the other regions. Request sample report at - https://www.precisionbusinessinsights.com/request-sample/?product_id=26699                     The important profiles and strategies adopted by Big data in agriculture market key players are IBM Corporation (U.S.) Oracle Corporation (U.S.) Hewlett Packard Enterprise Development LP (U.S.) International Centre for Tropical Agriculture (Colombia) NTT Data Corporation (Japan)., covered here to help them in strengthening their place in the market.

About Precision Business Insights: We are a market research company that strives to provide the highest quality market research insights. Our diverse market research experts are enthusiastic about market research and therefore produce high-quality research reports. We have over 500 clients with whom we have a good business partnership and capacity to provide in-depth research analysis for more than 30 countries. In addition to deliver more than 150 custom solutions, we already have accounts with the top five medical device manufacturers.

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Big Data in Aerospace and Defence Market to See Huge Growth by 2027 | Amazon, Microsoft, Cisco Systems, Accenture

Advance Market Analytics published a new research publication on “Global Big Data in Aerospace and Defence Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the Big Data in Aerospace and Defence market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Accenture (Ireland), Airbus Defense and Space (Munich), IBM (United States), Teradata Corporation (United States), Amazon (United States), Microsoft Corporation (United States), Google (United States), Cisco Systems (United States), SAS Institute (United States), SAP SE (Germany),

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Scope of the Report of Big Data in Aerospace and Defence

Big Data analytics is extensively changing the outlook for the aerospace and defence industry, economically, strategically, and operationally. Big Data has capabilities to maximize the business potential of data collection and analytics for the benefits of the aerospace and defence industry. Also, enhance the passenger experience as well as have an optimized environment. The use of big data for predictive maintenance, vehicle tracking, route planning, and real-time performance checking has increased the adoption of big data in the aerospace and defence industry. This has majorly driven the market growth and is anticipated to boost the market size in upcoming years.

On June 13, 2019 – The aerospace and defense (A&D) industry will be more affected by artificial intelligence (AI) than by any other major emerging technology over the next three years, according to Aerospace & Defense Technology Vision 2019, the annual report from Accenture that predicts key technology trends likely to redefine business. The study also underscores the growing importance of reskilling programs as a competitive lever.

The Global Big Data in Aerospace and Defence Market segments and Market Data Break Down are illuminated below:

by Type (Solution (Big Data Analytics, Data Discovery, Data Management, System Integration, Others), Service (Professional, Managed)), Application (Customer Analytics, Operational Analytics, Data Warehouse Optimization, Other), Industry (Defence, Aerospace), Deployment (On-Premises, Cloud)

Market Opportunities:

Real-Time Aircraft Monitoring Using Big Data Platform

Strengthening Regulatory Landscape For Data Protection

Market Drivers:

Growing Need To Analyze High Volume Data

Increasing Demand for Real-time Tracking Of Vehicle

Market Trend:

Increasing Number of Connected Devices

What can be explored with the Big Data in Aerospace and Defence Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Big Data in Aerospace and Defence Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Big Data in Aerospace and Defence

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Big Data in Aerospace and Defence Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/119578-global-big-data-in-aerospace-and-defence-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Big Data in Aerospace and Defence Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Big Data in Aerospace and Defence market

Chapter 2: Exclusive Summary – the basic information of the Big Data in Aerospace and Defence Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Big Data in Aerospace and Defence

Chapter 4: Presenting the Big Data in Aerospace and Defence Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Big Data in Aerospace and Defence market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Big Data in Aerospace and Defence Market is a valuable source of guidance for individuals and companies.

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Big Data Spending in Healthcare Market to See Booming Growth | Optum, Philips, Cerner, Mckesson

Advance Market Analytics published a new research publication on “Global Big Data Spending in Healthcare Market Insights, to 2027” with 232 pages and enriched with self-explained Tables and charts in presentable format. In the study, you will find new evolving Trends, Drivers, Restraints, Opportunities generated by targeting market-associated stakeholders. The growth of the Big Data Spending in Healthcare market was mainly driven by the increasing R&D spending across the world.

Major players profiled in the study are:

Cognizant (United States), Dell (United States), GE Healthcare (United States), Siemens (Germany), Cerner Corporation (United States), Optum (United States), Philips (The Netherlands), Mckesson (United States), Xerox (United States), IBM Corporation (United States), Allscripts (United States), Microsoft Corporation (United States), Oracle Corporation (United States)

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Scope of the Report of Big Data Spending in Healthcare

Big Data in Healthcare is mainly a term that is used to describe the vast amounts of information created by the advent of digital technologies that collect patient records and help manage hospital performance, otherwise too large and complex for traditional technologies. The application of big data analysis in healthcare has many positive and life-saving results. Big-style data essentially refers to the enormous amounts of information created by digitizing everything that is consolidated and analyzed by certain technologies. Applied to health care, it uses specific health data of a population (or a specific person) and may help prevent epidemics, cure diseases, reduce costs, etc. The US health system is rapidly adopting electronic health records, increasing the number of electronic health records that are available to clinical data dramatically. At the same time, many rapid advances have been made in clinical analytics techniques for analyzing large amounts of data as well as extracting new insights from that analysis, which is a very important part of what is known as big data.

The Global Big Data Spending in Healthcare Market segments and Market Data Break Down are illuminated below:

by Application (Clinical Analysis, Financial Analysis, Operational Analysis), Deployment Mode (Cloud-Based, On-Premises), Source of Big Data (Patient Portal, Government Agencies, Electronic Health Record, Search Engine Data, Public Records, Research Studies, Others), Software/Service Type (Software, Service), End-Use (Private Insurance Companies, Hospitals, Post-Acute Care Organizations (PACOS), Ambulatory Settings, Others)

Market Opportunities:

Surging Adoption of the Cloud Model

Rising Adoption as the Use of Big Data Reduce the Costs of Health Care

Market Drivers:

Increase in Data Volume Generated

Staggering Growth in Unstructured Medical Data

Market Trend:

Aforementioned Move from a Pay-For-Service Model to a Value-Based Care Model

Huge Demand for Data Science and Predictive Analysis

What can be explored with the Big Data Spending in Healthcare Market Study?

Gain Market Understanding

Identify Growth Opportunities

Analyze and Measure the Global Big Data Spending in Healthcare Market by Identifying Investment across various Industry Verticals

Understand the Trends that will drive Future Changes in Big Data Spending in Healthcare

Understand the Competitive Scenarios

Track Right Markets

Identify the Right Verticals

Region Included are: North America, Europe, Asia Pacific, Oceania, South America, Middle East & Africa

Country Level Break-Up: United States, Canada, Mexico, Brazil, Argentina, Colombia, Chile, South Africa, Nigeria, Tunisia, Morocco, Germany, United Kingdom (UK), the Netherlands, Spain, Italy, Belgium, Austria, Turkey, Russia, France, Poland, Israel, United Arab Emirates, Qatar, Saudi Arabia, China, Japan, Taiwan, South Korea, Singapore, India, Australia and New Zealand etc.

Have Any Questions Regarding Global Big Data Spending in Healthcare Market Report, Ask Our Experts@ https://www.advancemarketanalytics.com/enquiry-before-buy/33432-global-big-data-spending-in-healthcare-market#utm_source=DigitalJournalVinay

Strategic Points Covered in Table of Content of Global Big Data Spending in Healthcare Market:

Chapter 1: Introduction, market driving force product Objective of Study and Research Scope the Big Data Spending in Healthcare market

Chapter 2: Exclusive Summary – the basic information of the Big Data Spending in Healthcare Market.

Chapter 3: Displaying the Market Dynamics- Drivers, Trends and Challenges & Opportunities of the Big Data Spending in Healthcare

Chapter 4: Presenting the Big Data Spending in Healthcare Market Factor Analysis, Porters Five Forces, Supply/Value Chain, PESTEL analysis, Market Entropy, Patent/Trademark Analysis.

Chapter 5: Displaying the by Type, End User and Region/Country 2016-2021

Chapter 6: Evaluating the leading manufacturers of the Big Data Spending in Healthcare market which consists of its Competitive Landscape, Peer Group Analysis, BCG Matrix & Company Profile

Chapter 7: To evaluate the market by segments, by countries and by Manufacturers/Company with revenue share and sales by key countries in these various regions (2022-2027)

Chapter 8 & 9: Displaying the Appendix, Methodology and Data Source

Finally, Big Data Spending in Healthcare Market is a valuable source of guidance for individuals and companies.

Read Detailed Index of full Research Study at @ https://www.advancemarketanalytics.com/buy-now?format=1&report=33432#utm_source=DigitalJournalVinay

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[marketinsightshare]

Big Data Analytics In Healthcare Market - Forecast, 2022-2027

Big Data Analytics In Healthcare Market size is estimated to reach $51.6 billion by 2027, growing at a CAGR of 9.3% during the forecast period 2022-2027. Big data analytics can be delineated as a field that makes use of state-of-the-art analytics methods to study data that is too big (i.e., in terabytes and zettabytes), multifaceted, and miscellaneous to develop an understanding about. Therefore, uncovering the veiled patterns and relationships between the heterogeneous data or provided information helps healthcare facilities to make rational choices. In contemporary times, healthcare operations have changed as almost every medical facility uses a healthcare information system to manage the data they have in a better and more effective way. These healthcare management systems include electronic medical records, patient monitoring, patient portal, medical billing software, and others. However, traditional data mining makes use of a very limited amount of internal (structured) data which is engendered by these healthcare information systems or enterprise resource planning systems (ERP), nevertheless, big data analytics is considered to have enormous potential in healthcare information system (HIS). Therefore, implementation of such contemporary techniques helps in reducing the overall cost, better diagnosis of maladies, and eventually condensing the readmissions of patients by offering an effective cure. The prevailing use of EHRs, proliferating healthcare spending, and accruing hospitalizations have highlighted the necessity of big data analytics in healthcare which are factors set to drive the growth of Big Data Analytics in the Healthcare Market for the period 2022-2027.

Report Coverage

The report: “Big Data Analytics In Healthcare Market Forecast (2022-2027)”, by Industry ARC, covers an in-depth analysis of the following segments of Big Data Analytics in the Healthcare Market.

By Analytics Type: Investigative/Diagnostic, Descriptive, Prescriptive, and Analytical/Predictive. By Deployment: Cloud and On-Premise. By Application: Supply chain analytics, Transactional data assessment, Risk management analytics, Clinical data analytics, financial analytics, Operational Analytics, and others. By End User: Clinics, Hospitals, Insurance agencies, Research Facilities, and Other medical facilities. By Geography: North America (U.S., Canada, and Mexico), Europe (Germany, UK, France, Italy, Spain, Russia, and Rest of Europe), Asia-Pacific (China, India, Japan, South Korea, Australia & New Zealand, and Rest of Asia-Pacific), South America (Brazil, Argentina, Chile, Colombia and Rest of South America) and Rest of World (the Middle East and Africa).

Key Takeaways

Geographically, the North America Big Data Analytics In Healthcare Market accounted for the highest revenue share in 2021. It is poised to dominate the market over the period 2022-2027.

The availability of cloud facilities, augmenting the prevalence of diseases and viruses worldwide is said to be a preeminent driver driving the growth of Big Data Analytics in the Healthcare Market. However, a lack of skilled professionals and security threats are said to reduce the market growth.

Detailed analysis on the Strength, Weaknesses, and Opportunities of the prominent players operating in the market will be provided in the Big Data Analytics In Healthcare Market report.

Big Data Analytics In Healthcare Market Share, By Geography (%) in 2021

For more details on this report - Request for Sample

Big Data Analytics In Healthcare Market Segment Analysis-By Analytics

The Big Data Analytics In Healthcare Market based on analytics type can be further segmented into investigative/diagnostic, descriptive, prescriptive, and analytical/predictive. The descriptive segment held the largest share in 2021. The growth is owing to its usefulness in answering questions like “What is happening or what has happened?”. Descriptive analytics dig deep into the past behavior of the organizations to assess the relative positive or negative impacts. This tool has emerged as the most common form of data analytics as it has become a vibrant part of over 80% of organizations in the modern-day world. For any business, judging the relative importance of their past behavior is of utmost significance as it might assist in future courses. Based on data provided by descriptive analytics businesses can enhance their revenue by introducing required changes in their commonplace operations, marketing strategies, inventory-related decisions, and many more. Nevertheless, prescriptive analytics is estimated to be the fastest-growing segment with a CAGR of 11.2% over the forecast period 2022-2027. Leaving all 3 types behind, prescriptive analytics is the most advanced form of data analytics. Rather than briefing about “What happened and How it happened?” it talks about “What businesses should do in the future?” As Prescriptive analytics make use of state-of-the-art and up-to-the-minute technologies like artificial intelligence, deep and machine learning it has appeared as the most proficient tool in divulging the future consequences of organizations’ present actions.

Big Data Analytics In Healthcare Market Segment Analysis- By End User

The Big Data Analytics In Healthcare Market based on end-user can be further segmented into clinics, hospitals, insurance agencies, research facilities, and other medical facilities. The hospital segment held the largest share in 2021. The growth is owing to the far-reaching usage and demand of big data analytics in the healthcare sector. Healthcare facilities especially hospitals are home to an awe-inspiring sum of unprocessed data. Therefore, with an aim to process the data and figure out useful information, hospitals trust advanced analytics tools such as machines and deep learning. After processing, they found themselves in a much better place to make a rational decision which eventually give rise to improved patient cares, illness investigation, precise diagnosis and treatments, and improved management. The hospital segment is estimated to be the fastest-growing segment with a CAGR of 10.6% over the forecast period 2022-2027. This growth is owing to heightening demand for medical procedures as several life-threatening diseases such as cancer, heart attack, and transmissible virus (COVID 19) have come to the forefront on an unprecedented scale.

Big Data Analytics In Healthcare Market Segment Analysis-By Geography

The Big Data Analytics In Healthcare Market based on Geography can be further segmented into North America, Europe, Asia-Pacific, South America, and the Rest of the World. North America held the largest share with 37% of the overall market in 2021. The growth in this segment is owing to the factors such as the presence of leading computer technology companies. Moreover, full-fledged economies promise heavy cash flows in research from the government. Not just the government but leading players like IBM, Oracle, Stryker, and others are so stable financially that they allocate billions of dollars to research from time to time. On another hand, the US is home to thousands of top-notch healthcare companies, therefore, heightened competition has driven these players to espouse contemporary technologies before long to gain a strategic edge over their competition. Nevertheless, North America is expected to be the fastest-growing segment over the forecast period 2022-2027. This growth is owing to the escalating burden of cardiovascular maladies and COVID-19 cases are shaking the U.S. healthcare infrastructure and driving medical facilities toward big data analytics to better handle the crisis at hand.

Big Data Analytics In Healthcare Market Drivers

Upsurging demand for contemporary medical facilities with a broadening prevalence of illnesses is Anticipated to Boost Product Demand.

The soaring COVID-19 mutations have bewildered medical practitioners. The altered behavior of protein spikes of SARS-Cov-2 is making it evident that the virus is here to stay for long. Therefore, healthcare facilities are relying upon big data analytics in order to find a stable cure by developing an understanding of the same. Not just medical facilities but governments are tying up with respective market players to assess the number of infections, recovery rates, percentage of vaccinations, and many more. Besides, COVID-19 hospitalizations, the world is reeling under the weight of cancer and other maladies. For instance, the U.S. recorded over 1 million cases of cancer with more than 600,000 deaths in 2021. Therefore, the importance o big data analytics in healthcare is plunging day after day.

The convenience of cloud services and Rising research spending is Expected to Boost Product Demand.

Cloud computing has proliferated the overall trend of on-demand computing services in healthcare. Storing on-premises and hiring a proper management team increases the expenditure and adds extra burden on your resources, therefore, companies prefer clod services. On another hand, companies in the respective sector are investing billions of dollars in research which is anticipated to be a potent driver of big data analytics in the healthcare market. For instance, in quest of achieving breakthroughs in quantum computing IBM spent more than $6 billion in 2020. Moreover, with a gradual year-on-year increase in research spending Stryker, a medical technology company reached $987 million in 2020.

Big Data Analytics In Healthcare Market Challenges

Lack of skilled professionals and data security threats are Anticipated to Hamper Market Growth.

There are many data security issues associated with cloud-based services. Verizon's 2020 Data Breach Investigations Report found that 86 percent of the data breaches were motivated by financial reasons, while 10 percent were cyber espionage. In 2020, 17 percent of breaches involved malware, 22 percent featured phishing attacks, and 45 percent were hacking. It may put the personal health information of patients, business secrets, and other sensitive information in the wrong hands. Therefore, the issue of vulnerable security is a preeminent factor anticipated to encumber the growth of big data analytics in the healthcare market. On another hand, the lack of skilled professionals in the respective field might play a fair contribution in slowing down the steady growth in the respective market. 

Big Data Analytics in Healthcare Industry Outlook:

Product launches, mergers and acquisitions, joint ventures, and geographical expansions are key strategies adopted by players in the Big Data Analytics In Healthcare Market. Key companies of this market are-

GE Healthcare

Dell EMC

IBM Technology Company

Epic System Corporation

Hewlett Packard Enterprise

Microsoft Corporation

Optum Inc.

Allscripts Healthcare Solutions, Inc.

Oracle Corporation

Stryker Corporation

Recent Developments

On January 7, 2022, Michigan, United States-based medical technology company “Stryker”, announced that the company is going to acquire US-based company “Vocera Communications” before long. Moreover, during financials reveal company said it will pay around $3 billion with $79.25 per share in order to wrap up the process.On December 22, 2021, California, United States-based computer technology company “Oracle Corporation” announced the acquisition of US-based health information technology company “Cerner.” A total $28.3 billion payment was made by Oracle in order to wrap up the acquisition process. Moreover, the existing shareholders of Cerner received $95 per share.On July 19, 2019, New York, United States-based world-famous computer company “International Business Machines” announced the successful acquisition of Connecticut, United States-based software company “Red Hat.” In order to bring the biggest acquisition ever in the company’s history to a close IBM made a payment of $34 billion.

[mostlysignssomeportents]

The specific process by which Google enshittified its search

I'm touring my new, nationally bestselling novel The Bezzle! Catch me SATURDAY (Apr 27) in MARIN COUNTY, then Winnipeg (May 2), Calgary (May 3), Vancouver (May 4), and beyond!

All digital businesses have the technical capacity to enshittify: the ability to change the underlying functions of the business from moment to moment and user to user, allowing for the rapid transfer of value between business customers, end users and shareholders:

https://pluralistic.net/2023/02/19/twiddler/

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

https://pluralistic.net/2024/04/24/naming-names/#prabhakar-raghavan

Which raises an important question: why do companies enshittify at a specific moment, after refraining from enshittifying before? After all, a company always has the potential to benefit by treating its business customers and end users worse, by giving them a worse deal. If you charge more for your product and pay your suppliers less, that leaves more money on the table for your investors.

Of course, it's not that simple. While cheating, price-gouging, and degrading your product can produce gains, these tactics also threaten losses. You might lose customers to a rival, or get punished by a regulator, or face mass resignations from your employees who really believe in your product.

Companies choose not to enshittify their products…until they choose to do so. One theory to explain this is that companies are engaged in a process of continuous assessment, gathering data about their competitive risks, their regulators' mettle, their employees' boldness. When these assessments indicate that the conditions are favorable to enshittification, the CEO walks over to the big "enshittification" lever on the wall and yanks it all the way to MAX.

Some companies have certainly done this – and paid the price. Think of Myspace or Yahoo: companies that made themselves worse by reducing quality and gouging on price (be it measured in dollars or attention – that is, ads) before sinking into obscure senescence. These companies made a bet that they could get richer while getting worse, and they were wrong, and they lost out.

But this model doesn't explain the Great Enshittening, in which all the tech companies are enshittifying at the same time. Maybe all these companies are subscribing to the same business newsletter (or, more likely, buying advice from the same management consultancy) (cough McKinsey cough) that is a kind of industry-wide starter pistol for enshittification.

I think it's something else. I think the main job of a CEO is to show up for work every morning and yank on the enshittification lever as hard as you can, in hopes that you can eke out some incremental gains in your company's cost-basis and/or income by shifting value away from your suppliers and customers to yourself.

We get good digital services when the enshittification lever doesn't budge – when it is constrained: by competition, by regulation, by interoperable mods and hacks that undo enshittification (like alternative clients and ad-blockers) and by workers who have bargaining power thanks to a tight labor market or a powerful union:

https://pluralistic.net/2023/11/09/lead-me-not-into-temptation/#chamberlain

When Google ordered its staff to build a secret Chinese search engine that would censor search results and rat out dissidents to the Chinese secret police, googlers revolted and refused, and the project died:

https://en.wikipedia.org/wiki/Dragonfly_(search_engine)

When Google tried to win a US government contract to build AI for drones used to target and murder civilians far from the battlefield, googlers revolted and refused, and the project died:

https://www.nytimes.com/2018/06/01/technology/google-pentagon-project-maven.html

What's happened since – what's behind all the tech companies enshittifying all at once – is that tech worker power has been smashed, especially at Google, where 12,000 workers were fired just months after a $80b stock buyback that would have paid their wages for the next 27 years. Likewise, competition has receded from tech bosses' worries, thanks to lax antitrust enforcement that saw most credible competitors merged into behemoths, or neutralized with predatory pricing schemes. Lax enforcement of other policies – privacy, labor and consumer protection – loosened up the enshittification lever even more. And the expansion of IP rights, which criminalize most kinds of reverse engineering and aftermarket modification, means that interoperability no longer applies friction to the enshittification lever.

Now that every tech boss has an enshittification lever that moves very freely, they can show up for work, yank the enshittification lever, and it goes all the way to MAX. When googlers protested the company's complicity in the genocide in Gaza, Google didn't kill the project – it mass-fired the workers:

https://medium.com/@notechforapartheid/statement-from-google-workers-with-the-no-tech-for-apartheid-campaign-on-googles-indiscriminate-28ba4c9b7ce8

Enshittification is a macroeconomic phenomenon, determined by the regulatory environment for competition, privacy, labor, consumer protection and IP. But enshittification is also a microeconomic phenomenon, the result of innumerable boardroom and product-planning fights within companies in which would-be enshittifiers try to do things that make the company's products and services shittier wrestle with rivals who want to keep things as they are, or make them better, whether out of principle or fear of the consequences.

Those microeconomic wrestling-matches are where we find enshittification's heroes and villains – the people who fight for the user or stand up for a fair deal, versus the people who want to cheat and wreck to make things better for the company and win bonuses and promotions for themselves:

https://locusmag.com/2023/11/commentary-by-cory-doctorow-dont-be-evil/

These microeconomic struggles are usually obscure, because companies are secretive institutions and our glimpses into their deliberations are normally limited to the odd leaked memo, whistleblower tell-all, or spectacular worker revolt. But when a company gets dragged into court, a new window opens into the company's internal operations. That's especially true when the plaintiff is the US government.

Which brings me back to Google, the poster-child for enshittification, a company that revolutionized the internet a quarter of a century ago with a search-engine that was so good that it felt like magic, which has decayed so badly and so rapidly that whole sections of the internet are disappearing from view for the 90% of users who rely on the search engine as their gateway to the internet.

Google is being sued by the DOJ's Antitrust Division, and that means we are getting a very deep look into the company, as its internal emails and memos come to light:

https://pluralistic.net/2023/10/03/not-feeling-lucky/#fundamental-laws-of-economics

Google is a tech company, and tech companies have literary cultures – they run on email and other forms of written communication, even for casual speech, which is more likely to take place in a chat program than at a water-cooler. This means that tech companies have giant databases full of confessions to every crime they've ever committed:

https://pluralistic.net/2023/09/03/big-tech-cant-stop-telling-on-itself/

Large pieces of Google's database-of-crimes are now on display – so much, in fact, that it's hard for anyone to parse through it all and understand what it means. But some people are trying, and coming up with gold. One of those successful prospectors is Ed Zitron, who has produced a staggering account of the precise moment at which Google search tipped over into enshittification, which names the executives at the very heart of the rot:

https://www.wheresyoured.at/the-men-who-killed-google/

Zitron tells the story of a boardroom struggle over search quality, in which Ben Gomes – a long-tenured googler who helped define the company during its best years – lost a fight with Prabhakar Raghavan, a computer scientist turned manager whose tactic for increasing the number of search queries (and thus the number of ads the company could show to searchers) was to decrease the quality of search. That way, searchers would have to spend more time on Google before they found what they were looking for.

Zitron contrasts the background of these two figures. Gomes, the hero, worked at Google for 19 years, solving fantastically hard technical scaling problems and eventually becoming the company's "search czar." Raghavan, the villain, "failed upwards" through his career, including a stint as Yahoo's head of search from 2005-12, a presiding over the collapse of Yahoo's search business. Under Raghavan's leadership, Yahoo's search market-share fell from 30.4% to 14%, and in the end, Yahoo jettisoned its search altogether and replaced it with Bing.

For Zitron, the memos show how Raghavan engineered the ouster of Gomes, with help from the company CEO, the ex-McKinseyite Sundar Pichai. It was a triumph for enshittification, a deliberate decision to make the product worse in order to make it more profitable, under the (correct) belief that the company's exclusivity deals to provide search everywhere from Iphones and Samsungs to Mozilla would mean that the business would face no consequences for doing so.

It a picture of a company that isn't just too big to fail – it's (as FTC Chair Lina Khan put it on The Daily Show) too big to care:

https://www.youtube.com/watch?v=oaDTiWaYfcM

Zitron's done excellent sleuthing through the court exhibits here, and his writeup is incandescently brilliant. But there's one point I quibble with him on. Zitron writes that "It’s because the people running the tech industry are no longer those that built it."

I think that gets it backwards. I think that there were always enshittifiers in the C-suites of these companies. When Page and Brin brought in the war criminal Eric Schmidt to run the company, he surely started every day with a ritual, ferocious tug at that enshittification lever. The difference wasn't who was in the C-suite – the difference was how freely the lever moved.

On Saturday, I wrote:

The platforms used to treat us well and now treat us badly. That's not because they were setting a patient trap, luring us in with good treatment in the expectation of locking us in and turning on us. Tech bosses do not have the executive function to lie in wait for years and years.

https://pluralistic.net/2024/04/22/kargo-kult-kaptialism/#dont-buy-it

Someone on Hacker News called that "silly," adding that "tech bosses do in fact have the executive function to lie in wait for years and years. That's literally the business model of most startups":

https://news.ycombinator.com/item?id=40114339

That's not quite right, though. The business-model of the startup is to yank on the enshittification lever every day. Tech bosses don't lie in wait for the perfect moment to claw away all the value from their employees, users, business customers, and suppliers – they're always trying to get that value. It's only when they become too big to care that they succeed. That's the definition of being too big to care.

In antitrust circles, they sometimes say that "the process is the punishment." No matter what happens to the DOJ's case against Google, its internal workers have been made visible to the public. The secrecy surrounding the Google trial when it was underway meant that a lot of this stuff flew under the radar when it first appeared. But as Zitron's work shows, there is plenty of treasure to be found in that trove of documents that is now permanently in the public domain.

When future scholars study the enshittocene, they will look to accounts like Zitron's to mark the turning points from the old, good internet to the enshitternet. Let's hope those future scholars have a new, good internet on which to publish their findings.

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/2024/04/24/naming-names/#prabhakar-raghavan

[ms-demeanor]

Hello! First, I wanted to say thank you for your post about updating software and such. I really appreciated your perspective as someone with ADHD. The way you described your experiences with software frustration was IDENTICAL to my experience, so your post made a lot of sense to me.

Second, (and I hope my question isn't bothering you lol) would you mind explaining why it's important to update/adopt the new software? Like, why isn't there an option that doesn't involve constantly adopting new things? I understand why they'd need to fix stuff like functional bugs/make it compatible with new tech, but is it really necessary to change the user side of things as well?

Sorry if those are stupid questions or they're A Lot for a tumblr rando to ask, I'd just really like to understand because I think it would make it easier to get myself to adopt new stuff if I understand why it's necessary, and the other folks I know that know about computers don't really seem to understand the experience.

Thank you so much again for sharing your wisdom!!

A huge part of it is changing technologies and changing norms; I brought up Windows 8 in that other post and Win8 is a *great* example of user experience changing to match hardware, just in a situation that was an enormous mismatch with the market.

Win8's much-beloathed tiles came about because Microsoft seemed to be anticipating a massive pivot to tablet PCs in nearly all applications. The welcome screen was designed to be friendly to people who were using handheld touchscreens who could tap through various options, and it was meant to require more scrolling and less use of a keyboard.

But most people who the operating system went out to *didn't* have touchscreen tablets or laptops, they had a desktop computer with a mouse and a keyboard.

When that was released, it was Microsoft attempting to keep up with (or anticipate) market trends - they wanted something that was like "the iPad for Microsoft" so Windows 8 was meant to go with Microsoft Surface tablets.

We spent the first month of Win8's launch making it look like Windows 7 for our customers.

You can see the same thing with the centered taskbar on Windows 11; that's very clearly supposed to mimic the dock on apple computers (only you can't pin it anywhere but the bottom of the screen, which sucks).

Some of the visual changes are just trends and various companies trying to keep up with one another.

With software like Adobe I think it's probably based on customer data. The tool layout and the menu dropdowns are likely based on what people are actually looking for, and change based on what other tools people are using. That's likely true for most programs you use - the menu bar at the top of the screen in Word is populated with the options that people use the most; if a function you used to click on all the time is now buried, there's a possibility that people use it less these days for any number of reasons. (I'm currently being driven mildly insane by Teams moving the "attach file" button under a "more" menu instead of as an icon next to the "send message" button, and what this tells me is either that more users are putting emojis in their messages than attachments, or microsoft WANTS people to put more emojis than messages in their attachments).

But focusing on the operating system, since that's the big one:

The thing about OSs is that you interact with them so frequently that any little change seems massive and you get REALLY frustrated when you have to deal with that, but version-to-version most OSs don't change all that much visually and they also don't get released all that frequently. I've been working with windows machines for twelve years and in that time the only OSs that Microsoft has released were 8, 10, and 11. That's only about one OS every four years, which just is not that many. There was a big visual change in the interface between 7 and 8 (and 8 and 8.1, which is more of a 'panicked backing away' than a full release), but otherwise, realistically, Windows 11 still looks a lot like XP.

The second one is a screenshot of my actual computer. The only change I've made to the display is to pin the taskbar to the left side instead of keeping it centered and to fuck around a bit with the colors in the display customization. I haven't added any plugins or tools to get it to look different.

This is actually a pretty good demonstration of things changing based on user behavior too - XP didn't come with a search field in the task bar or the start menu, but later versions of Windows OSs did, because users had gotten used to searching things more in their phones and browsers, so then they learned to search things on their computers.

There are definitely nefarious reasons that software manufacturers change their interfaces. Microsoft has included ads in home versions of their OS and pushed searches through the Microsoft store since Windows 10, as one example. That's shitty and I think it's worthwhile to find the time to shut that down (and to kill various assistants and background tools and stop a lot of stuff that runs at startup).

But if you didn't have any changes, you wouldn't have any changes. I think it's handy to have a search field in the taskbar. I find "settings" (which is newer than control panel) easier to navigate than "control panel." Some of the stuff that got added over time is *good* from a user perspective - you can see that there's a little stopwatch pinned at the bottom of my screen; that's a tool I use daily that wasn't included in previous versions of the OS. I'm glad it got added, even if I'm kind of bummed that my Windows OS doesn't come with Spider Solitaire anymore.

One thing that's helpful to think about when considering software is that nobody *wants* to make clunky, unusable software. People want their software to run well, with few problems, and they want users to like it so that they don't call corporate and kick up a fuss.

When you see these kinds of changes to the user experience, it often reflects something that *you* may not want, but that is desirable to a *LOT* of other people. The primary example I can think of here is trackpad scrolling direction; at some point it became common for trackpads to scroll in the opposite direction that they used to; now the default direction is the one that feels wrong to me, because I grew up scrolling with a mouse, not a screen. People who grew up scrolling on a screen seem to feel that the new direction is a lot more intuitive, so it's the default. Thankfully, that's a setting that's easy to change, so it's a change that I make every time I come across it, but the change was made for a sensible reason, even if that reason was opaque to me at the time I stumbled across it and continues to irritate me to this day.

I don't know. I don't want to defend Windows all that much here because I fucking hate Microsoft and definitely prefer using Linux when I'm not at work or using programs that I don't have on Linux. But the thing is that you'll see changes with Linux releases as well.

I wouldn't mind finding a tool that made my desktop look 100% like Windows 95, that would be fun. But we'd probably all be really frustrated if there hadn't been any interface improvements changes since MS-DOS (and people have DEFINITELY been complaining about UX changes at least since then).

Like, I talk about this in terms of backward compatibility sometimes. A lot of people are frustrated that their old computers can't run new software well, and that new computers use so many resources. But the flipside of that is that pretty much nobody wants mobile internet to work the way that it did in 2004 or computers to act the way they did in 1984.

Like. People don't think about it much these days but the "windows" of the Windows Operating system represented a massive change to how people interacted with their computers that plenty of people hated and found unintuitive.

(also take some time to think about the little changes that have happened that you've appreciated or maybe didn't even notice. I used to hate the squiggly line under misspelled words but now I see the utility. Predictive text seems like new technology to me but it's really handy for a lot of people. Right clicking is a UX innovation. Sometimes you have to take the centered task bar in exchange for the built-in timer deck; sometimes you have to lose color-coded files in exchange for a right click.)