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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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Nope now it’s at the point that i’m shocked that people off tt don’t know what’s going down. I have no reach but i’ll sum it up anyway.
SCOTUS is hearing on the constitutionality of the ban as tiktok and creators are arguing that it is a violation of our first amendment rights to free speech, freedom of the press and freedom to assemble.
SCOTUS: tiktok bad, big security concern because china bad!
Tiktok lawyers: if china is such a concern why are you singling us out? Why not SHEIN or temu which collect far more information and are less transparent with their users?
SCOTUS (out loud): well you see we don’t like how users are communicating with each other, it’s making them more anti-american and china could disseminate pro china propaganda (get it? They literally said they do not like how we Speak or how we Assemble. Independent journalists reach their audience on tt meaning they have Press they want to suppress)
Tiktok users: this is fucking bullshit i don’t want to lose this community what should we do? We don’t want to go to meta or x because they both lobbied congress to ban tiktok (free market capitalism amirite? Paying off your local congressmen to suppress the competition is totally what the free market is about) but nothing else is like TikTok
A few users: what about xiaohongshu? It’s the Chinese version of tiktok (not quite, douyin is the chinese tiktok but it’s primarily for younger users so xiaohongshu was chosen)
16 hours later:
Tiktok as a community has chosen to collectively migrate TO a chinese owned app that is purely in Chinese out of utter spite and contempt for meta/x and the gov that is backing them.
My fyp is a mix of “i would rather mail memes to my friends than ever return to instagram reels” and “i will xerox my data to xi jinping myself i do not care i share my ss# with 5 other people anyway” and “im just getting ready for my day with my chinese made coffee maker and my Chinese made blowdryer and my chinese made clothing and listening to a podcast on my chinese made phone and get in my car running on chinese manufactured microchips but logging into a chinese social media? Too much for our gov!” etc.
So the government was scared that tiktok was creating a sense of class consciousness and tried to kill it but by doing so they sent us all to xiaohongshu. And now? Oh it’s adorable seeing this gov-manufactured divide be crossed in such a way.
This is adorable and so not what they were expecting. Im sure they were expecting a reluctant return to reels and shorts to fill the void but tiktokers said fuck that, we will forge connections across the world. Who you tell me is my enemy i will make my friend. That’s pretty damn cool.
#tiktok ban#xiaohongshu#the great tiktok migration of 2025#us politics#us government#scotus#ftr tiktok is owned primarily by private investors and is not operated out of china#and all us data is stored on servers here in the us#tiktok also employs 7000 us employees to maintain the US side of operations#like they’re just lying to get us to shut up about genocide and corruption#so fuck it we’ll go spill all the tea to ears that wanna hear it cause this country is not what its cracked up to be#we been lied to and the rest of the world has been lied to#if scotus bans it tomorrow i can’t wait for their finding out#rednote
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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
#Global Healthcare Big Data Analytics Market Size#Global Healthcare Big Data Analytics Market Share#Global Healthcare Big Data Analytics Market Growth#Global Healthcare Big Data Analytics Market Analysis#Global Healthcare Big Data Analytics Market Trends#Global Healthcare Big Data Analytics Market Forecast#Global Healthcare Big Data Analytics Market Segments
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The healthcare big data analytics market is anticipated to be driven by expanding healthcare infrastructure and technological advancements. The healthcare industry's high operating costs are anticipated to obstruct market expansion.
#Healthcare Big Data Analytics Market#Healthcare Big Data Analytics Market size#Healthcare Big Data Analytics Market growth#Healthcare Big Data Analytics Market share#Healthcare Big Data Analytics Market analysis#Healthcare Big Data Analytics Market demand
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#Big Data Analytics in Retail Market#Big Data Analytics in Retail Market Share#Big Data Analytics in Retail Market Size#Big Data Analytics in Retail Market Research#Big Data Analytics in Retail Industry#What is Big Data Analytics in Retail?
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Okay, I'm having trouble matching sources for all of OP's claims.
I'm certainly not calling OP a liar or claiming that American Education Is Good, Actually, because I'm pretty familiar with the commonly cited statistic that American adults can't read above a 5th grade level (here's a snopes article sourcing some Gallup data and the linked PIAAC data that's a little more readable especially if you're on mobile), but it's worth emphasizing here that:
The PIAAC skills results (i.e., proficiency levels) do not specifically correspond to measures such as grade levels at school. The PIAAC proficiency levels have a use-oriented conception of competency and focus on describing what types of tasks adults at each level can typically do and their ability to apply information from the task to accomplish goals they may encounter in everyday life; for example, identifying a job search result that meets certain criteria.
The PIAAC does test comprehension and proficiency for interpreting data (not just vocab, as many of the replies and reblogs first expected), and while the US is decently behind the top two countries measured this way (Japan and Finland), it's ahead of the international average for this metric.
The second source link also suggests some heavy deficits in how US education teaches children to read (and makes what seem to me compelling arguments for improvements, though I don't specialize in early childhood education and am not familiar enough to judge their relevance), but does not contextualize this or compare it to any kind of international average.
I understand the initial distress of OP's claim that Americans can't read above an elementary school level, but journalists and publications are fully aware of this, and many have guidelines and standards for writing that take that into account (e.g. in my journalism classes, I was told to aim for a 6th grade reading level or lower and shown specific guidelines for how to make information accessible and minimize jargon. The US government and CDC aim specifically for 3rd–5th grade reading levels. The NYT aims higher, and your local publications may vary, but news is meant to be accessible, so the range could be closer to a 5th—9th grade reading level on average). Therefore, it's not at all accurate that people below a 6th grade reading level only have access to TV and video.
More accurately to the PIAAC data, 18% or so might have trouble with being able to read simple articles or web pages, but once again the US meets the PIAAC international average here (23% at literacy level 1 or below).
I've done my best to review the PIAAC data, but I'm simply not finding any backing for the claim that 55% of US adults cannot read long texts at all.
This appears to be a pretty clear misinterpretation of the data.
Quick question, genuine question:
Why on earth does "more than half of US adults under 30 cannot read above an elementary school level" not strike horror into the heart of everyone who hears it?
Are the implications of it unclear????
I'm serious, people keep reacting with a sort of vague dismissal when I point this out, and I want to know why!
If adults in the US cannot read, then the only information they have access to is TV and video, the spaces with the most egregious and horrific misinformation!
If they cannot read, they cannot escape that misinformation.
This obscene lack of literacy should strike fear into every heart! US TV is notoriously horrific propaganda!
Is that???? Not??? Obvious???????
I know this sounds sarcastic, I know it does, but I'm completely serious here. I do not understand where the disconnect is.
#this was a fun research rabbit hole. I think it's not always constructive to take US education as a whole monolith either.#Literacy and education rates can vary pretty severely by region so ymmv pretty severely#and the PIAAC data does go as specific as US county averages#it's also relevant to note that the PIAAC data for the US does go back years—but they changed methods a few times#so most of what's on their website is the 2012/2014 and 2017 surveys and is not reflective of the entire history of their data#because the older data might not compare as smoothly given the change in methodology. so I only looked at the recent data.#also the PIAAC website isn't really geared for readability esp on mobile. it's a lot of research jargon so like.#might not be the most accessible reference for trying to share info on tumblr?#also PIAAC being kind of the Big Source for this it's relevant once again that OP clearly wasn't using them as the primary source for#'adults under 30' as their data is divided into 16–24 and 25–34 age brackets.#once again while the PIAAC's info was used to find the elementary school level reading statistic that's not ACTUALLY what they measure#all this to say that the constant barrage of misinfo and poor media literacy is definitely a problem#but it's uh I think a little more complex than 'US early childhood education about reading sucks'#I couldn't find an international statistic or average comparable to the 'below a 6th grade reading level' stat so lmk if anyone has one#6th graders are 11–12 years old on average so that's probably how OP came up with the 'can't read chapter books' line#it's pretty common for US school libraries to sort books by reading level by grade and from my experience#there were definitely chapter books below a 6th grade reading level. e.g. by my school's AR metric PJO was like 4.7#so like. a fourth grade reading level (for ages 8–9) based on difficulty of plot/syntax tho they're obvs marketed to 6th grade or so#american education#not trying to like start a fight with OP or anything but these are very bold claims and they're getting a lot of notes so.
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Exploring Saudi Arabia’s Big Data and Artificial Intelligence Market
The size of the Big Data and Artificial Intelligence market in Saudi Arabia is projected to be USD 0.38 billion in 2024 and is anticipated to grow to USD 2.19 billion by 2029. This represents a remarkable compound annual growth rate (CAGR) of 34.24% during the forecast period from 2024 to 2029.
Saudi Arabia is rapidly emerging as a pivotal player in the global landscape of big data and artificial intelligence (AI). Fueled by a vision for economic diversification and technological advancement, the Kingdom is harnessing the power of data and AI to transform its economy, enhance governance, and improve quality of life for its citizens. In this blog, we will delve into the current state of the big data and AI market in Saudi Arabia, key drivers of growth, challenges, and future prospects.
Current Landscape of the Big Data and AI Market
The Saudi government has recognized the importance of big data and AI as crucial components for achieving its Vision 2030 goals. The establishment of the Saudi Data and Artificial Intelligence Authority (SDAIA) in 2019 marks a significant step toward harnessing data-driven solutions across various sectors.
According to recent market research, the big data and AI market in Saudi Arabia is projected to experience substantial growth, with estimates suggesting a compound annual growth rate (CAGR) exceeding 30% over the next several years. This growth is primarily driven by increasing investments in technology infrastructure, a growing pool of skilled professionals, and a robust focus on innovation.
Key Drivers of Growth
Government Initiatives: The Saudi government has launched multiple initiatives aimed at integrating AI into public services and promoting data-driven decision-making. Programs like the National Industrial Development and Logistics Program (NIDLP) and the National Strategy for Data and AI (NSDAI) provide a strong foundation for industry growth.
Investment in Infrastructure: With substantial investments in digital infrastructure, including data centers and cloud computing services, the Kingdom is positioning itself as a hub for data analytics and AI. Major players, both local and international, are establishing operations to leverage this potential.
Collaboration with Global Tech Giants: Saudi Arabia is actively partnering with leading technology companies to enhance its AI capabilities. Collaborations with firms like IBM, Microsoft, and Google are facilitating knowledge transfer and accelerating the adoption of cutting-edge technologies.
Focus on Various Sectors: The application of big data and AI is not limited to a single sector. Industries such as healthcare, finance, energy, and transportation are leveraging these technologies to improve operational efficiency, enhance customer experiences, and drive innovation.
Challenges in the Industry
Despite the promising growth trajectory, the big data and AI market in Saudi Arabia faces several challenges:
Skill Shortage: There is a growing demand for data scientists, AI specialists, and skilled IT professionals. The current workforce is not sufficiently equipped to meet these demands, leading to a talent gap.
Data Privacy Concerns: As organizations increasingly rely on data for decision-making, concerns surrounding data privacy and security are becoming more prominent. Striking a balance between innovation and privacy regulations will be essential.
Integration of Legacy Systems: Many businesses still operate on legacy systems that may not be compatible with modern AI solutions. This integration challenge can hinder the adoption of advanced technologies.
Future Prospects
The future of the big data and AI market in Saudi Arabia looks promising. Here are some key trends to watch:
Growth of AI Startups: The entrepreneurial landscape in Saudi Arabia is witnessing the rise of innovative AI startups. With government support and funding initiatives, these startups are expected to play a crucial role in driving innovation and competitiveness.
Emphasis on Ethical AI: As AI technologies become more prevalent, there is an increasing focus on ethical AI practices. Developing guidelines for responsible AI use will be critical to ensuring public trust and acceptance.
Expansion of AI in Healthcare: The healthcare sector is poised for significant transformation through AI applications, including predictive analytics for patient care, robotic surgery, and personalized medicine.
Smart Cities and IoT: The Kingdom's investment in smart city projects will further drive the demand for big data and AI. By integrating IoT devices, cities can optimize services and enhance the quality of life for residents.
Conclusion
Saudi Arabia’s commitment to becoming a leader in big data and AI is evident through its robust initiatives, investments, and partnerships. While challenges remain, the opportunities for growth and innovation are vast. As the Kingdom continues to embrace these technologies, it not only positions itself as a key player in the global tech landscape but also paves the way for a more data-driven future. For a detailed overview and more insights, you can refer to the full market research report by Mordor Intelligence: https://www.mordorintelligence.com/industry-reports/saudi-arabia-big-data-and-artificial-intelligence-market
#Saudi Arabia Big Data and Artificial Intelligence Market#Saudi Arabia Big Data and Artificial Intelligence Industry#Saudi Arabia Big Data and Artificial Intelligence Market Size#Saudi Arabia Big Data and Artificial Intelligence Market Share#Saudi Arabia Big Data and Artificial Intelligence Market Analysis
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#Big Data Software Market#Big Data Software MarketSize#Big Data Software Market Share#Big Data Software Market Trends
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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.
#Big Data Healthcare Market Growth#Big Data Healthcare Market Trend#Big Data Healthcare Market Share
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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.
#Big Data Consulting Market#Big Data Consulting Market Share#Big Data Consulting Market Size#Big Data Consulting Market Forecast#Big Data Consulting Market Report#Big Data Consulting Market Growth
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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.
Grab a free sample @ Global Big Data Market Report
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.
Visit our vertical page @ Precision Medicine
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.
#global big data market#global big data market report#global big data market industry#global big data market key players#global big data market size and share
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#Supply Chain Big Data Analytics Market#Supply Chain Big Data Analytics Market size#Supply Chain Big Data Analytics Market share#Supply Chain Big Data Analytics Market trends#Supply Chain Big Data Analytics Market analysis#Supply Chain Big Data Analytics Market forecast#Supply Chain Big Data Analytics Market outlook#Supply Chain Big Data Analytics Market overview#Supply Chain Big Data Analytics Market report
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Global Healthcare Big Data Analytics Market expected to hit USD 99.12 Bn by 2030 from USD 26.87 Bn in 2023 at a CAGR of 20.5 % during the forecast period.
The market dynamics of healthcare big data analytics
In addition to improving clinical results and patient engagement, big data analytics integrates historical and real-time data to enhance patient care and provide professionals with useful information. The healthcare big data analytics market is anticipated to be driven by factors such as the shifting strategies used by healthcare organizations to cut costs and the rise in government programs that encourage the adoption of electronic health records.
#Healthcare Big Data Analytics Market#Healthcare Big Data Analytics Market size#Healthcare Big Data Analytics Market growth#Healthcare Big Data Analytics Market share#Healthcare Big Data Analytics Market demand#Healthcare Big Data Analytics Market analysis
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#Big Data Analytics Market#Big Data Analytics Market Share#Big Data Analytics Market Size#Big Data Analytics Market Research#Big Data Analytics Industry#What is Big Data Analytics?
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Things you can do to actively participate in the revolution
Here's the list !
I know some of those will look really silly, i promise they are not. And obviously, this is not a checklist, you don't have to do everything. But they're steps that you can absolutely take if you wish to, and they WILL help.
(i am continually correcting things when people point out mistakes. Thanks everyone for your help)
(under the cut !)
1) Let's start off with a very easy one you can do right now: stop using Chrome. It's a google owned browser, and it sents all of your data towards it. Mozilla is a very good replacement, but almost anything will do, really. We revolting against capitalism as a whole, and this is a good first step
Also, resign your amazon prime subscription.
2) Start stealing things from supermarkets and malls. I am not kidding. Little things, that aren't really monitored: a can of food, a lighter, a pair of socks. Condiments are particularly easy to hide in bags or pockets. Steal hygiene products, steal food.
Remember that you should have access to those for free, and you don't because a few rich guys don't want you to.
Additional tip: train station stores are very easy to steal from, because they're so busy. But don't put yourself in danger. Check beforehand if they check bags at checkout, look out for employees that might notice what you're doing. Don't be reckless.
(edit: this used to also say airports, but i've been told it's way too high risk as it's considered a federal crime. Thanks for letting me know)
3) In the same line, if you see someone stealing anything from a big store, no you didn't.
4) I know a lot of people are scared of disrespecting rules. By fear of being caught, or by guilt. My advice is: start disrespecting stupid, meaningless rules. I don't have specific exemples, but you'll encounter them and wonder why you're doing that. Stop doing it. This will train you to be able to disobey autority way easier.
5) Put stickers everywhere. If you already have them, go ham. Especially on public property (lamposts are amazing). If you don't, buy them from artists or independant stores, not big brands. If you cannot afford them, remember that you can simply write stuff on an A4 paper and plaster it to walls. Or even post its !
6) Carry a sharpie with you at all time, the big black ones. If you see propaganda, scribble it out. Keep a look out for terfs stickers, maga posters, etc. Also good for getting rid of transphobic and sexist stuff written on public restroom stalls !
8) Learn how to sew. I know, that sounds dumb ! But i promise you, not only will it be amazing to trade with other people ("i'll sew back ur shirt and in exchange, you give me a can of peaches !"), corporations also haaaate when you know how to fix your clothes. Because they want you to buy more. You'll spend a lot less money if you know how to fix em
7) Buy locally. This means going to the market or small stores, and thrifting your clothes. If you can't for money or accessibility reasons, try trading with your friends, family and neighbours. Get communication going in your circles, and you'll realise there are a lot of things that you can simply trade with or buy from people around you. Like a jar of jam against some eggs, or a pair of socks for a t-shirt you don't wear anymore !
9) If you have the space and the money, grow your own food, and share it or sell it around you. Be careful, some assholes will call the FDA on you. Do that with people you trust.
Additional tip: growing vegetables and fruits can be a real nightmare. You can absolutely start by just growing some basil or mint :)
10) Organise. Join leftist groups online, even if it's just to see what's being said, you don't even need to interact. Follow creators, repost and share their content. By doing that, you'll stay informed on group movements like strikes, protests and boycotts, which you can then participate in. It's very important you're connected to other ppl and the movements that are started !
11) Unionize. I'm very sorry I don't know the exact way unions work in the US, but if you can, join one. They will help you in times of needs, especially if you're a student or a worker. If you're not sure how to do that, absolutely ask around to people you know are very active politically, around you or online. People will help.
12) Stay. Informed. Follow independant papers and news outlet. If you can afford it, give them a dollar or two. They are fighting everyday for access to unbiased information for all, and sadly, their independance means that they rely almost entirely on donations and people simply engaging with what they put out.
If you can't access those: do not get your news from TV. Ever. Or anywhere else that has been bought by the far right. Sadly, the majority of TV channels are just the worst.
13) Share that information. Talk to those you trust and who are ready to listen to you, and tell them about what's happening. Get angry with them. Revolution stems from people coming together and realising that they're being used and profited off of. Share videos and posts relating to politics, especially informative videos.
And, most importantly: fact check. All of the time.
14) Go to protests ! If you've never been, i know it can be scary. But you can stay in the middle (don't go all the way to the front, that's where stuff can get heated) and scream and walk with everyone else. You'll meet people who, like you, want things to change. Capitalism wants you to stay as unconnected to others as possible, and that's a great way to fight that.
Sometimes, there are sites that have a planning for all protests happening in a city. Look up if one exists for yours
15) Create and strenghten community. I know i really struggled with this one, because it's so vague. But here's a few places you can start:
-Go and introduce yourself to your neighbours, if you deem it safe. Give them a little gift if you can afford it, like a pack of pasta.
-Make new friends, even if they aren't deep friendships. You need connections. Online or irl, both are fine- don't stay isolated.
-If you already have community, go check on them right now. Ask your friends how they're doing, and if they need anything- ask how they're being impacted by what's happening right now politically.
16) Look for ways to fuck over the institutions in easy ways. One example that went around tumblr a lot is letting dandelions grow in your backyard, because landlords fucking hate it. If you work in retail or fast food, cheat. Accidentally forget to scan the diapers. Put in 7 nuggets instead of 6.
17) Engage in art. MAKE art. Music, shitty paint drawings, craft, anything as long as you're being creative. Share it. If you feel like you can't do that, then support artists. Make a point to look up cool illustrations, and new music. Go to the cinema.
(edit: been told that it's very risky for walmart workers to not scan things, so beware.)
If you're an artist currently in an underpaid office job, please, by the love of god, be creative during office hours. You're underpaid, they do not deserve your full time and attention. Take 30 minutes to write that snippet you've been thinking about.
(and actually, if you're underpaid at all: do the minimum required. So that you can't be fired, but that's it. Any more effort is not worth it. Companies will never be thankful for what you do.)
18) Look up books that your state banned, and go read them. You can get them secondhand, or as pdfs online. (if anyone needs ressources, i will glady look for and share them.)
19) Seek education. There's a lot of youtube channels out there talking about educational subjects in a fun way. Some things the rich assholes who run the country specifically don't want you to learn more about are: biology, history and archeology, social and economic sciences. GO LEARN ABOUT THOSE.
And, actually, read books in general if you can. Yes, fanfics count !
The people in power don't want you to be educated. It's why they eviscerated the education system.
20) PIRATE. I cannot stress this enough, anything you can pirate (that isn't from small, indie creators, except if you absolutely can't afford it) do it. Download music illegally, torrent movies and games. If you want access to academical studies and papers, some writers will give them to you for free if you email them about it. There are also ways to go around paywalls.
21) Don't fall for the traps of "progressive brands". Lately, i've seen a lot of praise for Ben and Jerry's for openly supporting lgbtq rights and being globally anti-trump. They are still a brand. Avoid buying from any big names when you can. That being said, if you have to, check beforehand which ones and what their history is. Some are more evil than others.
Additional tip: a lot of brands you see in stores are actually owned by bigger brands. One prime example of this is Nestle, who are fucking evil, but they own a shitload of other big names. Be careful what you buy.
22) I hate to say this, but be prepared to defend yourself. Revolutions are never peaceful. You will get in danger. If you can, get in ok physical shape. If you can't, buy a gun. (Remember Alabama has a 99% acceptation rate, you can get one in 10 minutes.) I hate firearms, but the enemy will have them too. Arm yourself.
If none of those are available options to you, please, make sure you have someone around you that will be able to protect you, or a place where you can be safe. Whether you are disabled, a minor, or anything else. Don't put yourself in more danger than is necessary.
23) Last but not least, be kind. When someone cuts off a woman speaking, interrupt and give her the floor back. Shame those who think it's right to say bigoted shit in public. Listen to those around you. If you can't act, then remember to always have empathy for the homeless, for drug users, for immigrants. Understand they are people just like you. You are not immune to propaganda and prejudice, no matter who you are. Always question yourself and your biases.
(if you've read this far, please repost. We need this to reach as many people as possible)
I want to remind you that you're not alone. I know things seem hopeless, but the simple fact that you're reading this is proof it's not. I don't live in the US, but i'm supporting you as best i can from where i am, and sending you strenght.
If you have any questions, do ask away. I'll end on this image that's very dear to me:
#us politics#eat the rich#my credentials are that i am french btw#i hope this helps even one person#if that's the case then i succeeded#donald trump
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