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Robotic Process Automation (RPA) Market Size surpass USD 20,215.71 Mn by 2030 at a CAGR of 30.4%

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New York, May 09, 2023 (GLOBE NEWSWIRE) — As per the research report “Global Robotic Process Automation (RPA) Market” published by Consegic Business Intelligence, the market was worth USD 2,463.06 Million in 2022 and is anticipated to reach over USD 20,215.71 Million by the year 2030, growing at a CAGR of 30.4%.

Global Robotic Process Automation (RPA) Market Size, Share & Trends Analysis, By Component (Software and Services), Operation (Rule-Based and Knowledge-Based), Enterprise Size (Large Enterprise and SMEs), Application (Administration & Reporting, Customer Support, Data Migration & Capture extraction, Analysis, and Others), End-User (Retail, Manufacturing & Logistics, BFSI, Healthcare, IT & Telecommunication, Hospitality, and Others), and By Region, Forecast Period 2023 – 2030.

The robotic process automation (RPA) market is a rapidly growing sector of the technology industry. RPA refers to software programs that automate repetitive, rules-based tasks that are usually performed by humans. The programs use artificial intelligence (AI) and machine learning (ML) algorithms to mimic human actions and decision-making. RPA solutions are being used to automate tasks such as data entry, customer service, invoice processing, and inventory management in various industries including include banking and finance, healthcare, retail, and manufacturing.

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The increasing demand for automation in industries such as manufacturing, retail, and healthcare is driving the growth of robotic process automation (RPA) market. RPA provides an effective solution by allowing organizations to automate repetitive and time-consuming tasks, thereby enabling employees to focus on more strategic work. In addition to the demand for automation, the need for cost-efficient operations is another major driver of the RPA market. By automating tasks that are performed by humans, organizations reduce the need for manual labor and associated costs. RPA also helps businesses reduce errors and improve the accuracy of their operations, leading to further cost savings. For instance, in March 2021, Deloitte announced a collaboration with Automation Anywhere to accelerate cloud intelligent automation adoption to help organizations automate their processes and increase efficiency while leveraging the power of the cloud and artificial intelligence (AI).

The robotic process automation (RPA) market is expected to witness significant growth during the forecast period due to the incorporation of advanced technologies such as artificial intelligence (AI) and machine learning (ML). The use of intelligent automation solutions to analyze data, identify patterns, and make informed decisions is providing growth opportunities for the robotic process automation market. However, security concerns associated with RPA solutions along with its high maintenance costs are restraining the growth of the robotic process automation market.

Report Attributes Report Details
Market Size By 2030  USD 20,215.71 Million
Forecast Period 2023-2030
CAGR (2023-2030) 30.4%
Base Year 2022
Study Timeline 2017-2030
Key Players Automation Anywhere, Blue Prism Group PLC, UiPath Inc., Microsoft Corporation, Nice Systems Ltd., WorkFusion, Inc., Pegasystems, Inc., OnviSource, Inc., Salesforce (Servicetrace GmbH/Mulesoft, Inc.), Kryon Systems 
By Component
  • Software
  • Services
By Operation
  • Rule-Based
  • Knowledge-Based
By Enterprise Size
  • Large Enterprises
  • SMEs
By Application
  • Administration & Reporting
  •  Customer Support
  •  Data Migration & Capture extraction
  •  Analysis
  •  Others
By End-User
  • Retail
  •  Manufacturing & Logistics
  •  BFSI
  •  Healthcare
  •  IT & Telecommunication
  •  Hospitality
  • Others
Report Coverage Company Ranking and Market Share, Growth Factors, Total Revenue Forecast, Regional Competitive Landscape, Business Strategies, and more
By Geography North America, Asia-Pacific, Latin America, Europe, Middle East & Africa


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Key Market Highlights

  • The Global Robotic Process Automation (RPA) Market size is estimated to exceed USD 20,215.71 Million by 2030 and grow at a CAGR of 30.4% during the forecast period (2023-2030).
  • Globally, Robotic Process Automation (RPA) are divided based on the Component into Software and Services.
  • In the context of Operation, the market is separated into Rule-Based and Knowledge-Based.
  • On the basis of Enterprise Size, the market is categorized into Large Enterprises and SMEs.
  • On the basis of Application, the market is classified into Administration & Reporting, Customer Support, Data Migration & Capture extraction, Analysis, and Others.
  • Based on the End-User, the market is segregated into Retail, Manufacturing & Logistics, BFSI, Healthcare, IT & Telecommunication, Hospitality, and Others.
  • The market is geographically divided into five regions: Europe, Latin America, the Asia-Pacific, North America, and Middle East and Africa.
  • Asia Pacific and North America are estimated to support the market growth during the forecast period in terms of the large presence of market players combined with high expenditures on technological advancements in Robotic Process Automation (RPA).

Robotic Process Automation (RPA) Market Growth Drivers:

  • The increasing demand for automation in industries such as manufacturing, retail, and healthcare is driving the growth of robotic process automation (RPA) market.
  • The ability of robotic process automation (RPA) solutions to improve the efficiency and productivity of business operations is accelerating the growth of the robotic process automation (RPA) market.
  • The continuous advancements in technology such as the adoption of cloud computing are boosting the growth of market.

Restraints

  • The security concerns associated with RPA solutions along with its high maintenance costs are restraining the growth of the robotic process automation market.
  • The integration of RPA solutions with the existing systems is limiting the growth of robotic process automation (RPA) market.

Opportunities

  • The incorporation of advanced technologies such as artificial intelligence (AI) and machine learning (ML) into the automation process is presenting growth opportunities for the robotic process automation market.

Global Robotic Process Automation (RPA) Market Segmentation Details:

Based on Component, the Software segment contributed the largest shares to the market growth in 2022. In terms of software, the RPA market includes different types of RPA software solutions that are designed to automate various business processes. The software solutions include standalone RPA software and integrated RPA software designed to learn from data, identify patterns, and make decisions to improve the business outcomes, thereby increasing the efficiency of the business operations.

Based on Operation, rule-based segment offered substantial shares to the Global Robotic Process Automation (RPA) Market in the year 2022. Rule-based automation involves automating tasks that are standardized and easily defined by a set of rules or instructions. The tasks typically involve repetitive and rule-based activities that are automated using RPA tools. For instance, data entry and invoice processing are tasks that are automated using rule-based RPA solutions. As a result, the ease of implementation of rule-based software and its ability to reduce the overall cost of implementation is driving the growth of the rule-based segment in the RPA market.

Based on Enterprise Size, the large enterprise segment is accounted for the largest revenue share in the year 2022. Large enterprises have complex business processes allowing them to invest in resources to support RPA software solutions and the IT infrastructure required to support them. As a result, large enterprises are the primary adopters of RPA solutions, and the segment is expected to continue to grow as large organizations seek to further optimize their operations. However, the SMEs segment is expected to witness significant growth during the forecast period at RPA solutions automate repetitive and time-consuming tasks, thereby helping SMEs to increase their return on investment (ROI).

Based on Application, the administration & reporting segment offered substantial shares to the robotic process automation market. The administration and reporting segment of the RPA market includes a range of repetitive and time-consuming tasks such as data entry, invoice processing, and report generation. RPA solutions automate these tasks, enabling organizations to improve their operational efficiency, reduce errors, and free up employee time to focus on more strategic activities. By automating these administrative tasks, businesses also improve decision-making and customer satisfaction, as they access accurate and timely information more quickly. In conclusion, the administration and reporting segment of the RPA market is a key area of growth, as more organizations seek to optimize their operations and reduce costs through automation.

Based on End-User, the BFSI sector accounted for the maximum revenue share in the year 2022. The BFSI industry has a high volume of repetitive, rule-based processes that are well-suited for automation. RPA solutions helps to improve their operational efficiency, reduce costs, and enhance customer experience. As a result, the BFSI sector has been an early adopter of RPA solutions to automate processes such as account opening, data entry, payment processing, and others.

Based on region, The North American region has been a major contributor to the growth of the robotic process automation (RPA) market. The region has a high demand for automation due to the need for improved efficiency, increased productivity, and reduced operational costs. The adoption of advanced technologies such as artificial intelligence (AI) and machine learning (ML) is also high in North America, which further accelerates the growth of the RPA market. Moreover, the presence of key players such as Automation Anywhere, UiPath Inc., and Microsoft Corporation in the region is a significant factor driving the growth of the RPA market.

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Recent Developments

  • In March 2023, Salesforce announced the launch of Einstein GPT (Generative Pre-trained Transformer) designed to help businesses generate natural language text that are used for a variety of purposes, including customer service, marketing, and sales.
  • In February 2023, OnviSource revealed that CallCenterUSA implemented AI-driven and intelligently automated analytics featuring machine learning technology from OnviSource.

List of Major Global Robotic Process Automation (RPA) Market Players

The market research report examines various market factors to determine the key drivers, limitations, and opportunities affecting market players. The report includes a SWOT analysis, regional analysis, and segment analysis to give a complete view of the market situation. This evaluation helps to identify possible growth opportunities through the implementation of technology, product utilization, business strategies, and the launch of new products. The following are major market players operating in the market environment —

  • Automation Anywhere 
  • Blue Prism Group PLC
  • UiPath Inc.s 
  • Microsoft Corporation 
  • Nice Systems Ltd. 
  • WorkFusion, Inc. 
  • Pegasystems, Inc. 
  • OnviSource, Inc. 
  • Salesforce
  • Kryon Systems 

Browse Full Market Overviews & TOC @ https://www.consegicbusinessintelligence.com/robotic-process-automation-rpa-market 

Global Robotic Process Automation (RPA) Market Segmentation: 

  • By Component
    • Software
    • Services
  • By Operation
    • Rule-Based
    • Knowledge-Based
  • By Enterprise Size
    • Large Enterprise
    • SMEs
  • By Application
    • Administration & Reporting
    • Customer Support
    • Data Migration & Capture extraction
    • Analysis
    • Others
  • By End-User
    • Retail
    • Manufacturing & Logistics
    • BFSI
    • Healthcare
    • IT & Telecommunication
    • Hospitality
    • Others

Key Questions Covered in the Robotic Process Automation (RPA) Market Report

  • What is Robotic Process Automation (RPA)
    • Robotic Process Automation (RPA) is a technology that uses software robots to automate repetitive and rule-based tasks that are typically handled by people. RPA robots mimic human actions such as logging into applications, entering data, and clicking on buttons, and work continuously without breaks or errors.
  • What specific segmentation details are covered in the Robotic Process Automation (RPA) market report, and how is the dominating segment impacting the market growth?
    • The report consists of segments including Component, Operation, Enterprise Size, and End-User. Each segment has key dominating sub-segment being driven by the industry trends and market dynamics. For instance, by component has witnessed software as the dominating segment in the year 2022, driven by factors such as increasing demand for automation in industries such as manufacturing, retail, and healthcare.
  • What specific segmentation details are covered in the Robotic Process Automation (RPA) market report, and how is the fastest segment anticipated to impact the market growth?
    • The report consists of segments including Component, Operation, Enterprise Size, and End-User. Each segment is projected to have the fastest growing sub-segment being fueled by industry trends and drivers. For instance, Enterprise Size, SMEs sub-segment is anticipated to witness the fastest CAGR growth during the forecast period. SMEs are becoming aware of the benefits of RPA solutions, such as cost savings, improved productivity, and reduced errors.
  • What specific segmentation details are covered in the Robotic Process Automation (RPA) market report, and how does each dominating segment is influencing the demand globally?
    • As aforementioned, each dominating segment is influencing the demand globally due to growing industrial needs. Moreover, due to fluctuation in demand being witnessed from different sectors is accounted for driving the robotic process automation market.

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About Consegic Business Intelligence

Consegic Business Intelligence is the leading research industry that offers contextual and data-centric research services to its customers across the globe. The firm assists its clients to strategize business policies and accomplish sustainable growth in their respective market domains. The industry provides consulting services, syndicated research reports, and customized research reports.

Topnotch research organizations and institutions to comprehend the regional and global commercial status use the data produced by Consegic Business Intelligence Our reports comprise in-depth analytical and statistical analysis on various industries in the foremost countries around the globe.

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Artificial Intelligence

IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry

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Up to $187M CAD to be invested to progress expansion of chip packaging capacity and capabilities and to strengthen R&D at IBM Canada’s Bromont plant
BROMONT, QC, April 26, 2024 /PRNewswire/ — IBM (NYSE: IBM), the Government of Canada, and the Government of Quebec today announced agreements that will strengthen Canada’s semiconductor industry, and further develop the assembly, testing and packaging (ATP) capabilities for semiconductor modules to be used across a wide range of applications including telecommunications, high performance computing, automotive, aerospace & defence, computer networks, and generative AI, at IBM Canada’s plant in Bromont, Quebec. The agreements reflect a combined investment valued at approximately $187M CAD.

“Today’s announcement is a massive win for Canada and our dynamic tech sector. It will create high-paying jobs, invest in innovation, strengthen supply chains, and help make sure the most advanced technologies are Canadian-made. Semiconductors power the world, and we’re putting Canada at the forefront of that opportunity,” said the Right Honourable Justin Trudeau, Prime Minister of Canada
In addition to the advancement of packaging capabilities, IBM will be conducting R&D to develop methods for scalable manufacturing and other advanced assembly processes to support the packaging of different chip technologies, to further Canada’s role in the North American semiconductor supply chain and expand and anchor Canada’s capabilities in advanced packaging.
The agreements also allow for collaborations with small and medium-sized Canadian-based enterprises with the intent of fostering the development of a semiconductor ecosystem, now and into the future.
“IBM has long been a leader in semiconductor research and development, pioneering breakthroughs to meet tomorrow’s challenges. With the demand for compute surging in the age of AI, advanced packaging and chiplet technology is becoming critical for the acceleration of AI workloads,” said Darío Gil, IBM Senior Vice President and Director of Research. “As one of the largest chip assembly and testing facilities in North America, IBM’s Bromont facility will play a central role in this future. We are proud to be working with the governments of Canada and Quebec toward those goals and to build a stronger and more balanced semiconductor ecosystem in North America and beyond.”
IBM Canada’s Bromont plant is one of North America’s largest chip assembly and testing facilities, having operated in the region for 52 years. Today, the facility transforms advanced semiconductor components into state-of-the-art microelectronic solutions, playing a key role in IBM’s semiconductor R&D leadership alongside IBM’s facilities at the Albany NanoTech Complex and throughout New York’s Hudson Valley. These agreements will help to further establish a corridor of semiconductor innovation from New York to Bromont. 
“Advanced packaging is a crucial component of the semiconductor industry, and IBM Canada’s Bromont plant has led the world in this process for decades,” said Deb Pimentel, president of IBM Canada. “Building upon IBM’s 107-year legacy of technology innovation and R&D in Canada, the Canadian semiconductor industry will now become even stronger, allowing for robust supply chains and giving Canadians steady access to even more innovative technologies and products. This announcement represents just one more example of IBM’s leadership and commitment to the country’s technology and business landscape.”
Chip packaging, the process of connecting integrated circuits on a chip or circuit board, has become more complex as electronic devices have shrunk and the components of chips themselves get smaller and smaller. IBM announced the world’s first 2 nanometer chip technology in 2021 and, as the semiconductor industry moves towards new methods of chip construction, advances in packaging will grow in importance. 
“Semiconductors are part of our everyday life. They are in our phones, our cars, and our appliances. Through this investment, we are supporting Canadian innovators, creating good jobs, and solidifying Canada’s semiconductor industry to build a stronger economy. Canada is set to play a larger role in the global semiconductor industry thanks to projects like the one we are announcing today. Because, when we invest in semiconductor and quantum technologies, we invest in economic security.”  — The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry
“This investment by IBM in Bromont will ensure that Quebec continues to stand out in the field of microelectronics. An increase in production capacity will solidify Quebec’s position in the strategic microelectronics sector in North America.” — The Honourable Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister responsible for Regional Economic Development and Minister responsible for the Metropolis and the Montreal region
About IBMIBM is a leading provider of global hybrid cloud and AI, and consulting expertise. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. More than 4,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM’s hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM’s breakthrough innovations in semiconductors, AI, quantum computing, industry-specific cloud solutions and consulting deliver open and flexible options to our clients. All of this is backed by IBM’s legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information. 
Media ContactLorraine BaldwinIBM [email protected] 
Willa HahnIBM [email protected]
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Artificial Intelligence

HITACHI ACQUIRES MA MICRO AUTOMATION OF GERMANY IN EFFORT TO ACCELERATE GLOBAL EXPANSION OF ROBOTIC SI BUSINESS IN THE MEDICAL AND OTHER FIELDS

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HOLLAND, Mich., April 26, 2024 /PRNewswire/ — Hitachi Ltd. (TSE: 6501, “Hitachi”) has signed a stock purchase agreement on April 26 to acquire all shares of MA micro automation GmbH (“MA micro automation”, headquartered in St. Leon-Rot, Germany) from MAX Management GmbH (a subsidiary of MAX Automation SE). MA micro automation is a leading provider of robotic and automation technology (robotic SI) including high-speed linear handling systems, high-precision assembly lines, and high-speed vision inspection technology for Europe, North America, and Southeast Asia, for EUR 71.5M million. The transaction is expected to close in the second half of 2024, pending completion of the customary regulatory filings. After the acquisition is completed, MA micro automation will join JR Automation Technologies, LLC (“JR Automation”), a market leader in providing advanced automation solutions and digital technologies in the robotic system integration business for North America, Europe, and Southeast Asia as a continued effort to expand the company’s global presence.

MA micro automation is a technology leader for automation solutions within micro-assembly. Through its state-of-the-art proprietary high-speed and high-precision automation know-how, combined with unique optical image inspection capabilities, MA micro automation serves high-growth med-tech automation end-markets, covering the production, assembly, and testing medical and optical components including contact lenses, IVD and diabetes diagnostics consumables, and injection molding for medical use. The company was established in 2003 through a carve-out from Siemens*1 and since 2013 has been part of the MAX Automation group. 
JR Automation is a leading provider of intelligent automated manufacturing technology solutions, serving customers across the globe in a variety of industries including automotive, life sciences, e-mobility, consumer and industrial products. With over 20 locations between North America, Europe, and Southeast Asia, the leading integrator offers nearly 2 million square feet (185,806 sq. m) of available build and engineering floorspace. This acquisition allows JR Automation to further grow and strengthen both the company’s geographical footprint and their continued commitment on expanding support capabilities within the European region and medical market vertical.
“MA micro automation provides engineering, build and support expertise with established capabilities in complex vision applications, high-speed and high-precision automation technologies. When integrated with JR Automation’s uniform global process and digital technologies, this partnership will further enhance our ability to deliver added value and support to all of our customers worldwide and continue to grow our capabilities in the medical market,” says Dave DeGraaf, CEO of JR Automation. “As we integrate this new dimension, impressive talents and abilities of the MA micro automation team we further enhance our ability to serve our customers, creating a more robust and globally balanced offering.”
With this acquisition, Hitachi aims to further enhance its ability to provide a “Total Seamless Solution*2” to connect manufacturer’s factory floors seamlessly and digitally with their front office data, allowing them to achieve total optimization and bringing Industry 4.0 to life. This “Total Seamless Solution” strategy links organizations’ operational activities such as engineering, supply chain, and purchasing to the plant floor and allows for real time, data-driven decision-making that improves the overall business value for customers.
Kazunobu Morita, Vice President and Executive Officer, CEO of Industrial Digital Business Unit, Hitachi, Ltd. says, “We are very pleased to welcome MA micro automation to the Hitachi Group. The team is based in Europe, providing robotic SI to global medical device manufacturing customers with its high technological capabilities and will join forces with JR Automation and Hitachi Automation to strengthen our global competitiveness. Hitachi aims to enhance its ability to provide value to customers and grow alongside them by leveraging its strengths in both OT, IT, including robotic SI, and “Total Seamless Solution” through Lumada*3’s customer co-creation framework.”
Joachim Hardt, CEO MA micro automation GmbH says, “Following the successful establishment and growth of MA micro automation within the attractive automation market for medical technology products, we are now opening a new chapter. Our partnership with Hitachi will not only strengthen our global competitive position, but we will also benefit from joint technological synergies and a global market presence.  We look forward to a synergistic partnership with Hitachi and JR Automation.”
Outline of MA micro automation    
Name
MA micro automation GmbH
Head Office
St. Leon-Rot, Germany
Representative
Joachim Hardt (CEO)
Outline of Business
Automation solutions within micro-assembly
Total no. of Employees:
Approx. 200 (As of April 2024)
Founded
2003
Revenues (2023)
€ 46.5 million
Website

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*1
“Siemens” is a registered trademark or trademark of Siemens Trademark GmbH & Co. KG in the U.S. and other countries.
*2
“Total Seamless Solution” is a registered trademark of Hitachi, Ltd. in the U.S. and Japan.
*3
Lumada: A collective term for solutions, services and technologies based on Hitachi’s advanced digital technologies for creating value from customers’ data accelerating digital innovation. https://www.hitachi.com/products/it/lumada/global/en/index.html
About JR AutomationEstablished in 1980, JR Automation is a leading provider of intelligent automated manufacturing technology solutions that solve customers’ key operational and productivity challenges. JR Automation serves customers across the globe in a variety of industries, including automotive, life sciences, aerospace, and more.  
In 2019, JR Automation was acquired by Hitachi, Ltd. In a strategic effort towards offering a seamless connection between the physical and cyber space for industrial manufacturers and distributers worldwide. With this partnership, JR Automation provides customers a unique, single-source solution for complete integration of their physical assets and data information, offering greater speed, flexibility, and efficiencies towards achieving their Industry 4.0 visions. JR Automation employs over 2,000 people at 21 manufacturing facilities in North America, Europe, and Asia.  For more information, please visit www.jrautomation.com.   
About Hitachi, Ltd.Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers’ and society’s challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of “Digital Systems & Services” – supporting our customers’ digital transformation; “Green Energy & Mobility” – contributing to a decarbonized society through energy and railway systems, and “Connective Industries” – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company’s website at https://www.hitachi.com.
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$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.
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