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Artificial Intelligence

Predictive Analytics Market to Exceed US$44.3 Billion By 2030, In-Depth Analysis By Reports Insights

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New York, March 19, 2023 (GLOBE NEWSWIRE) — The Predictive Analytics Market report by Reports Insights reveals that the market generated a revenue of USD 13.5 billion in 2022 and is anticipated to achieve USD 44.3 billion by 2030, displaying a CAGR of 18.5%. The report highlights the surging deployment of predictive analytics solutions across diverse industries and the mounting requirement for data-driven decision-making approaches.

Predictive Analytics Market Size, Share & Trends Analysis, By Solutions (Solution and Services), Deployment Type (On-Premise and Cloud), Enterprise Size (Small & Medium Enterprises, Large Enterprises), End-Use (Aerospace & Defense, Automotive & Transportation, BFSI, Healthcare, IT & Telecommunication, Media & Entertainment, Retail & E-commerce, Others), By Region and Segment, Forecast Period 2023 – 2030.

ReportsInsights Consulting Pvt. Ltd. has provided a detailed research report on the predictive analytics market, which takes into account various aspects such as market trends, value and supply chain, size, and regulatory environment. The report also analyzes the latest developments and growth opportunities in significant segments, including component, deployment type, enterprise size, end-use, and region. These factors are critical for market players to strengthen their competitiveness through mergers and acquisitions, strategic partnerships, and innovative product launches to bolster their market standing and keep up with evolving advancements in technologies. 

Apply For Free Sample Reporthttps://www.reportsinsights.com/sample/673842 

Predictive Analytics Market Growth Drivers:

  • The increasing demand for data-driven decision-making, the emerging adoption of big data, and the growing adoption of machine learning and artificial intelligence technologies among businesses to push revenue streams fueled the market statistics.
  • The rising need for real-time analytics and the increased popularity of cloud-based predictive analytics solutions also drives the market growth.
  • Growing improvements in Artificial Intelligence and Machine Learning algorithms to analyze large datasets and make predictions with high accuracy accelerates the demand for predictive analytics to understand complex analytics and make effective business decisions.

Restraints

  • The concern for data privacy and security due to analysis of large amounts of sensitive and confidential data limits the sharing of data, hindering the market adoption due to compromised accuracy of predictions.
  • The high costs of predictive analytics solutions and services hampers the market growth due to reduced adoption among small and medium sized businesses.

Competitive Landscape

As per the research, the major players in the predictive analytics market include IBM Corporation, Oracle Corporation, SAP SE, SAS Institute, Inc., Microsoft Corporation, Cloud Software Group, Inc., and Siemens. These companies offer various predictive analytics solutions, such as data mining, machine learning, and forecasting, and others to cater to the increasing demand for predictive analytics tools. The market is divided into two categories: pure-play vendors and full-suite vendors. Pure-play vendors specialize in predictive analytics and offer solutions that are specifically designed for this purpose. However, full-suite vendors provide a range of analytics solutions, including predictive analytics, as part of a larger suite of products.

Recent Developments:

In October 2022, Informatica, a frontrunner in enterprise cloud data management, was announced as one of the initial partners of Microsoft Intelligent Data Platform Partner Ecosystem. The introduction of such ecosystem was revealed by Microsoft at Microsoft Ignite 2022 event, and reflects the commitment of both companies towards supporting businesses in effectively leveraging AI with secure and well-managed data.

In October 2022, Google announced a range of innovations in AI and ML, data analytics and security at Google Cloud Next ‘2022. Google’s objective was to offer a data cloud that is highly adaptable, accessible, and resilient that enables businesses to utilize their data from various sources, storage formats, and analytics techniques across different cloud providers and platforms that suit their preferences.

Immediate Delivery Available, Inquiry or Customization Request @ https://www.reportsinsights.com/enquiry/673842 

Predictive Analytics Market Snapshot :- 

Report Attributes Report Details
Market Size By 2030  USD 44.3 Billion
Forecast Period 2023-2030
CAGR (2023-2030) 18.5%
Base Year 2022
Study Timeline 2017-2030
Key Players Cloud Software Group, Inc., Microsoft Corporation, Google Cloud, Augury Inc., CFD Research Corporation, Oracle, SAS Institute Inc., Siemens, IBM, ALTERYX, INC., Axtria
By Component Solutions and Services
By Deployment Type On-Premise and Cloud
By Enterprise Size Small & Medium Enterprises, Large Enterprises
By End Use Aerospace & Defense, Automotive & Transportation, BFSI, Healthcare, IT & Telecommunication, Media & Entertainment, Retail & E-commerce, Others
Report Coverage Company Ranking and Market Share, Regional Competitive Landscape, Growth Factors, Total Revenue Forecast, Business Strategies, and more.
By Geography North America [United States, Canada, Mexico]

Asia-Pacific [China, Japan, India, Southeast Asia, Korea, Western Asia]

South America [Brazil, Argentina, Columbia, Chile, Peru]

Europe [Germany, UK, Turkey, Spain, France, Italy, Russia, Netherlands, Switzerland]

Middle East & Africa [GCC, North Africa, South Africa]

Governments are also promoting the adoption of predictive analytics in various industries. For instance, the US government launched several initiatives to promote the use of big data and advanced analytics in healthcare and other sectors. This is expected to drive the demand for predictive analytics solutions in the coming years.

Growing adoption of cloud-based data warehouses for predictive analytics will push the market statistics in upcoming years. For instance, two of the world’s largest cloud service providers (Amazon and Google) offer a minimum up-time of more than 99.95%. Amazon for EC2 Servers and Google for Cloud Storage and BigQuery.

The vast amounts of data generated by digital technologies, social media, and the internet of things (IoT) will also create large pools of data that is used to train predictive models.

Rising usage of predictive analytics in new and innovative ways such as fraud detection, supply chain optimization, and predictive maintenance will create favorable opportunities for the demand for such technologies.

Increased importance of real-time for organizations to make quick decisions based on rapidly changing data will push the statistics of predictive analytics solutions and services to respond and address rapid changes in business environment.

The availability of powerful computing resources, and big data analytics tools even as open-source software and cloud-based analytics platforms will create lucrative opportunities for market growth in terms of more accessibility and affordability for predictive analytics.

Key Market Takeaways

  • North America is anticipated to propel the statistics of predictive analytics market in terms of value and volume. The large presence of established market players as well as increased expenditures on technology advancements to bring in business optimization due to high amounts of data are factors that will create favorable circumstances for market growth in North American region.
  • As businesses in Asia Pacific face increased competition, the adoption of predictive analytics among such businesses to gain a competitive advantage will witness a sudden surge. By using data to make better decisions and optimize operations, businesses have the opportunity to improve their bottom line and stay ahead of the competition.
  • Based on component, the solution segment contributed highest shares to the market growth in 2022.
  • By deployment type, the cloud segment accounted for largest shares contribution to the market growth in 2022.
  • Based on enterprise size, the large enterprises segment contributed highest shares over 61.7% in 2022.
  • In the context of end use, the BFSI segment is expected to witness the fastest CAGR of around 15.8% during the forecast period.

Browse Full Report @ https://www.reportsinsights.com/industry-forecast/global-predictive-analytics-market-statistical-analysis-673842 

List of Major Predictive Analytics Market Players

• Cloud Software Group, Inc.

• Microsoft Corporation

• Google Cloud

• Augury Inc.

• CFD Research Corporation

• Oracle

• SAS Institute Inc.

• Siemens

• IBM

• ALTERYX, INC.

• Axtria

Global Predictive Analytics Market Segmentation: 

  • By Component
    • Solutions
    • Services
  • By Deployment Type
    • On-Premise  
    • Cloud
  • By Enterprise Size
    • Small & Medium Enterprises
    • Large Enterprises
  • By End Use
    • Aerospace & Defense
    • Automotive & Transportation
    • BFSI
    • Healthcare
    • IT & Telecommunication
    • Media & Entertainment
    • Retail & E-commerce
    • Others

Key Questions Covered in the Predictive Analytics Market Report

What is the current size of predictive analytics market?

What is the expected CAGR of global market of predictive analytics from 2023 to 2030?

What factors drive the predictive analytics market growth?

Which region is expected to boost the market statistics in terms of value and volume?

 Which major players function in the current market circumstances?

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Predictive Analytics And Machine Learning Market Size, Regional Trends, Growth, By Regions (North America, Europe, Asia Pacific, South America, Middle East And Africa), Segment Analysis, Key Technology Landscape, Market Dynamics, and Forecast (2023-2028)

Healthcare Predictive Analytics Market Size, Regional Trends, Growth, By Regions (North America, Europe, Asia Pacific, South America, Middle East And Africa), Segment Analysis, Key Technology Landscape, Market Dynamics, and Forecast (2022-2030)

Manufacturing Predictive Analytics Market Analysis By Regions (North America, Europe, Asia Pacific, South America, Middle East And Africa), Size, Growth, Trend and Forecast with Impact Analysis of COVID-19 (2022-2028)

Human Resource (HR) Technology Market Size, Share & Trends Analysis, By Application (Talent Management, Recruitment, Performance Management, Payroll Management, Workforce Management, and Others), Deployment (Cloud and On-Premises), Enterprise size (Large Enterprise, and Small & Medium Enterprise), End-User (BFSI, IT & Telecom, Healthcare, Retail, and Others), By Region, Forecast Period-2023 – 2030


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Artificial Intelligence

$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members

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D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).

XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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Hikvision redefines urban mobility with AIoT-powered solutions at Intertraffic 2024

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HANGZHOU, China, April 26, 2024 /PRNewswire/ — Hikvision made a significant appearance at Intertraffic Amsterdam, the leading global trade fair for mobility and traffic technology. At the trade event, Hikvision unveiled a suite of traffic, transport, and parking management solutions and products powered by Artificial Intelligence of Things (AIoT) technology, which promised to improve urban mobility, road safety, and operational efficacy.

Elevating urban traffic intelligence with AIoT
One highlight of the Hikvision stand was its intelligent urban traffic solution, which leveraged the power of AIoT to deliver comprehensive real-time monitoring, incident detection, and traffic control. This solution intelligently reshapes traffic dynamics, offering a more responsive and data-driven approach to enhance situational awareness and traffic management. Key innovations in the solution included:
Hikvision’s radar-video fusion camerasThese combine the range perception of radar with the visual perception of video. The 4 MP Radar and Video Vehicle Detector, for example, helps to enhance road safety by providing early warning of potential hazards in challenging situations such as blind spots at intersections and obstacles outside the visual range.Hikvision’s All-In-One Traffic SpotterThis stands out with its multifaceted design incorporating video, radar, and lighting technologies for heightened traffic violation detection. Its streamlined column design facilitates effortless installation.Hikvision’s Radar-Linked PTZ Camera This ensures consistent performance in adverse weather and lightening conditions, and minimizes false alarms with advanced deep-learning algorithms.Innovating parking management
Hikvision also introduced its parking management solutions. These combine extremely precise license plate recognition and intelligent barrier controls incorporating highly accurate radar sensors. This comprehensive approach enhances security, reduces the need for manual intervention, and streamlines traffic flow across parking areas. The Global Shutter CMOS* (GMOS) ANPR camera was a new addition to the lineup. Designed to seamlessly blend in the environment, it is tailored for the task of discreetly capturing license plates at parking facilities that prioritize subtlety.
Advancing public transportation safety and efficiency
Attendees also had the opportunity to explore Hikvision’s latest public transport solutions, integrating AI-driven analytics with advanced video security, on-site voice broadcasting, and centralized management for enhanced onboard security, improved passenger experience, and operational efficiency for buses and taxis. This included the Four-way monitoring system and the Panoramic Auxiliary System, both designed to reduce blind spots and provide high-definition imaging to improve driving safety.
“As ever, we are continually expanding our suite of technologies to enhance traffic safety and efficiency,” said Nick Wu, Project Product Director at Hikvision Europe. “Our commitment lies in minimizing the need for extensive roadside installations by incorporating comprehensive perception and robust AI within unified device frameworks. These innovations automate and streamline every aspect of traffic management, from violation detection to traffic flow monitoring, driving safety, and parking management.”
To find out more about Hikvision’s urban mobility products and solutions, please explore its official website.
Note: CMOS stands for Complementary Metal-Oxide-Semiconductor.
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Artificial Intelligence

London Blockchain Conference Launches the No Future Campaign

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LONDON, April 26, 2024 /PRNewswire/ — The London Blockchain Conference is excited to announce the launch of its ground-breaking, ‘No Future Campaign’. This initiative aims to create a strong narrative surrounding blockchain technology by challenging perceptions and sparking conversations. By creating this platform, the campaign aims to instil a fear of missing out (FOMO) sensation among the audience, positioning the London Blockchain Conference as a gateway to securing a stake in the future and unlocking the potential of blockchain technology.

With a bold and evocative narrative theme, the campaign will initially confront the audience with a jarring reality check of “NO FUTURE” and then resolve the statement “WITHOUT BLOCKCHAIN” to spark curiosity and engagement with the optimistic revelation that blockchain holds the key to a prosperous future.
The ‘No Future Campaign’ started on 17 April 2024 with the London Blockchain Conference creating and executing content on/with media platforms and partnerships:
Wharf Life inserts (17/04/2024) – Print and a digital advert/editorial-sponsored pieces.Animations being released on paid and organic channels in a 3-week campaign.Alex Stein, Conference Director said, “The No Future Campaign is a call for individuals, enterprises, and governments to recognise the importance and role of blockchain in shaping the future. Through the London Blockchain Conference, we aim to educate and inspire attendees to understand and harness the potential of blockchain technology.”
The three-day London Blockchain Conference at the ExCel will bring together politicians, business leaders, and innovators. The conference will be running from 21 – 23 May 2024 and will focus on disruptive and real-world applications of blockchain technology and the impact it is having on politics, emerging technologies, and enterprises.
For more information about the ‘No Future campaign’, visit the London Blockchain Conference website.
About the London Blockchain Conference
NETWORK. LEARN. ENGAGE. 
 At the London Blockchain Conference, we show how Blockchain will change the world and help people see another way to manage data, build scalable on-chain solutions and achieve great things. We do this by creating valuable, insightful, and engaging events that educate and inform, allowing you to connect and network to build strong business relationships. Our conference is the best avenue to see blockchain innovations, ecosystem announcements, product launches, technology updates, keynote speeches, panels, and fireside chats from blockchain leaders. Join us and experience it for yourself. 
 
 

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