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The Worldwide Social Trading Platform Industry is Expected to Reach $3.7 Billion by 2028

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Dublin, May 25, 2022 (GLOBE NEWSWIRE) — The “Social Trading Platform Market Forecast to 2028 – COVID-19 Impact and Global Analysis By Platform, End User and Asset Class” report has been added to ResearchAndMarkets.com’s offering.

The social trading platform market is projected to reach US$ 3,774.17 million by 2028 from US$ 2,229.56 million in 2021. It is expected to register a CAGR of 7.8% from 2021 to 2028.

Social trading is a type of investment that allows users to watch how their peers and trading professionals act to duplicate or copy their trading techniques. It takes very little financial market understanding and saves money as compared to hiring traditional wealth managers.

It follows social media norms, which are primarily communication, information sharing, mutual assistance, and collaboration. Traders can either mimic other people’s deals or deploy their funds proportionately in the same portfolio. Social trading is a method of assessing financial data that involves observing other traders and comparing and imitating their approaches and plans. As a result, the beginners’ trading game improves while the chance of losing money decreases.

Impact of COVID-19 Pandemic on Social Trading Platform Market

The demand for social trading was prevalent before the COVID-19 pandemic due to the growing Internet penetration in North America. As per Digital 2019 Reports published by Data Reportal in January 2019, Internet users in the US grew by almost 9% every year, reaching more than 310 million users in January 2019. Thus, the rising need for internet supported the social trading platform market growth in North America before the COVID-19 pandemic.

In 2020, the increase in the unemployment rates hindered the rise of the social trading platform market. According to Pew Research Center, the economic downturn across the region resulted in an increase in unemployed North Americans by more than 14 million in 2020 (from 6.2 million in February 2020 to 20.5 million in May 2020). As a result, the US unemployment rate shot up from 3.8% in February 2020. The rise in unemployed workers due to the pandemic negatively impacted the trading industry. Therefore, the overall impact of the COVID-19 pandemic on the social trading platform market in North America has been negative.

The online trading industry is expanding significantly with the evolution of advanced technologies. Due to the COVID-19 pandemic, the online trading pattern strengthened in 2020. According to the article published by Chatbots Life, it has also been observed that over 2.14 billion people worldwide bought goods and services online in 2021, which resulted in the significant evolvement of the online trading industry globally. Due to this, a challenge for traders to keep up with the pace of change to stay current and process every task is also increasing. Thus, integrating AI-based chatbots is essential for trading organizations to enhance the customer experience and productivity, contributing to the social trading platform market growth.

Based on the platform, the social trading platform market is segmented into PC and mobile. The trading apps in mobile have made life easier for the traders as well as stock brokers. Mobile trading has become a growing rage amongst young traders as it has made the entire trading experience much efficient. Thus, growth in mobile segment is expected to drive the social trading platform market over the forecast period.

Based on end users, the market is segmented into individual traders and professional traders. Retail investors typically invest in stocks and bonds but mostly in stocks since bonds are difficult to trade on most trading platforms Retail individual does trading through mobile based applications owing higher reliability and easy to operate. Thus, associated advantages and growing trend among young population is fueling the individual traders to invest in exchange market which is further anticipated to drive the social trading platform market growth.

Based on asset class, the market is segmented into equity, commodity, derivatives, crypto, and others. Increase in demand for crypto currency among banks, and financial institutions and untapped potential from emerging economies are expected to provide lucrative growth prospects for adopting crypto. Growing demand for application based platform is the most convenient medium for trading the crypto which is further fueling the social trading platform market over the forecast period.

The social trading platform market, based on geography, is segmented primarily into North America, Europe, Asia Pacific (APAC), the Middle East & Africa (MEA), and South America (SAM). In 2021, North America accounted for the largest share in the global augmented social trading platform market

Reasons to Buy

  • Save and reduce time carrying out entry-level research by identifying the growth, size, leading players and segments in the global social trading platform market
  • Highlights key business priorities in order to assist companies to realign their business strategies
  • The key findings and recommendations highlight crucial progressive industry trends in the global social trading platform market, thereby allowing players across the value chain to develop effective long-term strategies
  • Develop/modify business expansion plans by using substantial growth offering developed and emerging markets
  • Scrutinize in-depth global market trends and outlook coupled with the factors driving the market, as well as those hindering it
  • Enhance the decision-making process by understanding the strategies that underpin commercial interest with respect to client products, segmentation, pricing and distribution

Key Topics Covered:

1. Introduction

2. Key Takeaways

3. Research Methodology

4. Social Trading Platform Market Landscape
4.1 Market Overview
4.2 PEST Analysis
4.2.1 North America
4.2.2 Europe
4.2.3 Asia Pacific
4.2.4 MEA
4.2.5 SAM
4.3 Ecosystem Analysis
4.4 Expert Opinion

5. Social Trading Platform Market – Key Market Dynamics
5.1 Market Drivers
5.1.1 Rising Need of Customized Trading Platforms
5.1.2 Rising Benefits of Integration of Chatbots with Trading Platforms
5.2 Market Restraints
5.2.1 Stringent Rules and Regulations and Lack of Awareness about Online Trading
5.3 Market Opportunities
5.3.1 Rising Surge in the Internet Penetration Globally
5.4 Future Trends
5.4.1 Artificial Intelligence drives the Adoption of Social Trading Platforms
5.5 Impact Analysis of Drivers and Restraints

6. Social Trading Platform Market -Regional Analysis
6.1 Social Trading Platform Market Global Overview
6.2 Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
6.3 Market Positioning – Five Key Players

7. Social Trading Platform Market Analysis – By Platform
7.1 Overview
7.2 Social Trading Platform Market, By Platform (2020 and 2028)
7.3 PC
7.3.1 Overview
7.3.2 PC: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
7.4 Mobile
7.4.1 Overview
7.4.2 Mobile: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)

8. Social Trading Platform Market – By End user
8.1 Overview
8.2 Social Trading Platform Market, By End user (2020 and 2028)
8.3 Individual Traders
8.3.1 Overview
8.3.2 Individual Traders: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
8.4 Professional Traders
8.4.1 Overview
8.4.2 Professional Traders: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)

9. Social Trading Platform Market – By Asset Class
9.1 Overview
9.2 Social Trading Platform Market, By Asset class (2020 and 2028)
9.3 Equity
9.3.1 Overview
9.3.2 Equity: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
9.4 Commodity
9.4.1 Overview
9.4.2 Commodity: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
9.5 Derivatives
9.5.1 Overview
9.5.2 Derivatives: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
9.6 Crypto
9.6.1 Overview
9.6.2 Crypto: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)
9.7 Others
9.7.1 Overview
9.7.2 Others: Social Trading Platform Market – Revenue and Forecast to 2028 (US$ Million)

10. Social Trading Platform Market – Geographic Analysis

11. Social Trading Platform Market- COVID-19 Impact Analysis
11.1 Overview
11.2 North America: Impact Assessment of Covid-19 Pandemic
11.3 Europe: Impact Assessment of Covid-19 Pandemic
11.4 Asia Pacific: Impact Assessment of Covid-19 Pandemic
11.5 Middle East & Africa: Impact Assessment of Covid-19 Pandemic
11.6 South America: Impact Assessment of Covid-19 Pandemic

12. Industry Landscape
12.1 Overview
12.2 Market Initiative
12.3 Merger and Acquisition
12.4 New Development

13. Company Profiles
13.1 eToro
13.1.1 Key Facts
13.1.2 Business Description
13.1.3 Products and Services
13.1.4 Financial Overview
13.1.5 SWOT Analysis
13.1.6 Key Developments
13.2 A-Trade
13.2.1 Key Facts
13.2.2 Business Description
13.2.3 Products and Services
13.2.4 Financial Overview
13.2.5 SWOT Analysis
13.2.6 Key Developments
13.3 ZuluTrade
13.3.1 Key Facts
13.3.2 Business Description
13.3.3 Products and Services
13.3.4 Financial Overview
13.3.5 SWOT Analysis
13.3.6 Key Developments
13.4 Tornado
13.4.1 Key Facts
13.4.2 Business Description
13.4.3 Products and Services
13.4.4 Financial Overview
13.4.5 SWOT Analysis
13.4.6 Key Developments
13.5 MetaQuotes
13.5.1 Key Facts
13.5.2 Business Description
13.5.3 Products and Services
13.5.4 Financial Overview
13.5.5 SWOT Analysis
13.5.6 Key Developments
13.6 PrimeXBT
13.6.1 Key Facts
13.6.2 Business Description
13.6.3 Products and Services
13.6.4 Financial Overview
13.6.5 SWOT Analysis
13.6.6 Key Developments
13.7 Pepperstone Markets Limited
13.7.1 Key Facts
13.7.2 Business Description
13.7.3 Products and Services
13.7.4 Financial Overview
13.7.5 SWOT Analysis
13.7.6 Key Developments
13.8 Tickmill
13.8.1 Key Facts
13.8.2 Business Description
13.8.3 Products and Services
13.8.4 Financial Overview
13.8.5 SWOT Analysis
13.8.6 Key Developments
13.9 Octa Markets Incorporated
13.9.1 Key Facts
13.9.2 Business Description
13.9.3 Products and Services
13.9.4 Financial Overview
13.9.5 SWOT Analysis
13.9.6 Key Developments
13.10 Assetgro Fintech Pvt. Ltd (Stockgro)
13.10.1 Key Facts
13.10.2 Business Description
13.10.3 Products and Services
13.10.4 Financial Overview
13.10.5 SWOT Analysis
13.10.6 Key Developments
13.11 Public Holding, Inc.
13.11.1 Key Facts
13.11.2 Business Description
13.11.3 Products and Services
13.11.4 Financial Overview
13.11.5 SWOT Analysis
13.11.6 Key Developments
13.12 Naga Group AG
13.12.1 Key Facts
13.12.2 Business Description
13.12.3 Products and Services
13.12.4 Financial Overview
13.12.5 SWOT Analysis
13.12.6 Key Developments
13.13 Snowball X
13.13.1 Key Facts
13.13.2 Business Description
13.13.3 Products and Services
13.13.4 Financial Overview
13.13.5 SWOT Analysis
13.13.6 Key Developments

14. Appendix

For more information about this report visit https://www.researchandmarkets.com/r/mqterd

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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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Artificial Intelligence

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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