Artificial Intelligence
Global Defense Robotics Market to Reach $22.4 Billion by 2026
New York, Oct. 27, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Defense Robotics Industry” – https://www.reportlinker.com/p05442633/?utm_source=GNW
While the interest towards defense robotics remained strong among governments of leading countries since early 20th century, wider rollout of such systems materialized only during the past two decades. Thanks to full-fledged efforts from the governments of the US, Israel, the UK, France and Russia, defense robotics have achieved significant progression from experimental, remote-operated surveillance machines to autonomous technologies capable of executing combat operations. A primary factor steering momentum in the defense robotics domain is the reduced need for human involvement during military operations and subsequently reduced casualties in combat operations. Being mechanical systems powered by digital technologies, defense robotics can penetrate into enemy territories in stealth mode and independently execute given task, thus potentially minimizing casualties that usually occur in conventional manned missions. Further, these advanced systems come with unique attributes such as fatigueless functioning, high precision, support for any type of terrain, continued functioning despite damaging bomb/weapon attacks, and ability to fit into spaces not possible with mechanical systems or humans, which fully recommend their deployment in military applications. Robotics, when inducted into defense forces, seamlessly improve operational performance, efficiency and efficacy of troops in ground, aerial and maritime operations.
Defense robotics are utilized in various forms including unmanned aerial vehicles (UAVs), unmanned marine vehicles (UMVs) and unmanned ground vehicles (UGVs). UAVs, the pilot-less aircraft, constitute the most widely used form of defense robotics. The US has been a pioneer in development of military UAVs, and currently holds a large fleet of UAVs supplementing its military operations in Afghanistan, Iraq & Syria, and other parts of the world. Similarly, UMVs are mostly made available in the form of USVs (or Unmanned Surface Vessels) and UUVs (or Unmanned Underwater Vehicles) and extend superior capabilities to naval forces in maritime operations. On the other hand, UGVs are ground robots designed with wheels or tracks mainly to supplement the on-foot troops in harsh conditions. Whichever robot deployed the purpose remains the same, i.e., supplementing or replacing the personnel in reconnaissance, combat, logistics and other military tasks, while bestowing the warfighter with greater capabilities in battlefield operations.
Amid the COVID-19 crisis, the global market for Defense Robotics estimated at US$13.2 Billion in the year 2020, is projected to reach a revised size of US$22.4 Billion by 2026, growing at a CAGR of 9.5% over the analysis period. Human Operated , one of the segments analyzed in the report, is projected to grow at a 9.3% CAGR to reach US$15.1 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Autonomous segment is readjusted to a revised 9.9% CAGR for the next 7-year period. This segment currently accounts for a 38.6% share of the global Defense Robotics market.
World market for defense robotics, despite its visible exposure to ongoing COVID-19 crisis, exhibited a moderate level of resilience, as governments continued to maintain or increase their defense and homeland security budgets. Militaries hold a pivotal role in protecting national interests and stay firm for their operations irrespective of consequences. The role of militaries goes beyond safeguarding borders and thwarting invasion attempts to other emergency scenarios like floods, natural disasters and terrorist activity. The COVID-19 health emergency highlighted the significant of militaries and enabled them to assume a central role in the fight against the COVID-19 virus that has left scores of people infected globally. However, the pandemic has also thrown serious challenges for the defense & military sector by disrupting routine operations. Defense robotics markets continued to display relative stability in 2020. Robots have gained importance amid the pandemic for current and future combat, and military actions. In countries such as Russia, while the pandemic led to imposition of certain limitations on the concepts of operations (CONOPS), and tactics, techniques and procedures (TTPs), it had a moderated impact on armed forces training and fighting. The military is moving towards advanced unmanned weapons development.
The U.S. Market is Estimated at $5.3 Billion in 2021, While China is Forecast to Reach $4.5 Billion by 2026
The Defense Robotics market in the U.S. is estimated at US$5.3 Billion in the year 2021. The country currently accounts for a 38.69% share in the global market. China, the world second largest economy, is forecast to reach an estimated market size of US$4.5 Billion in the year 2026 trailing a CAGR of 12.1% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 7.2% and 7.8% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 7.5% CAGR while Rest of European market (as defined in the study) will reach US$5.1 Billion by the close of the analysis period.
In the coming years, demand for defense robotics will continue to expand at a faster pace with a number of factors contributing to increased adoption of these advanced technologies by militaries around the world. Rising emphasis on robotic solutions in command, control, communications and computers (C4); intelligence, surveillance & reconnaissance (ISR); and battlefield combat operations are consistently fuelling momentum in the defense robotics space. At the same time, growing concerns over rising human casualties in military operations and sustained focus on reducing warfield deaths through advanced strategies are creating strong business case for military robotics. Defense robotics market is sensing large-scale opportunities through ongoing expansion in global defense spending and drive towards military modernization programs among governments, worldwide. On the other hand, progressive improvements in underlying technologies and functional scope of robotic systems are paving way for wider proliferation of defense robotics.
Increasing number of nations are making investments on robotic solutions on the back of growing terrorist and border encroachment activities. About 90 countries have already deployed defense robots in military operations in one form or the other. Future success of defense robotics market would be directed by progressive advancements in sensing technology, computer programming, communication capabilities, and material science, which would help defense robotics to refine their functionality, performance, efficiency and effectiveness to attract wider audience. Advancements in key parameters such as integration, interoperability, commonality and affordability, and full-scale warfield readiness would also play important role in global adoption of defense robotics. With such robots projected to be the ultimate weapons in the future battleground, military bodies around the world are making heavy investments in research and development of weapon systems that are increasingly automated. However, automated weapons require human intervention in the form of inputs at certain points to avoid targets within areas of restricted fire as per the laws of the Geneva Conventions. This limitation prevents automated weapons from being fully autonomous.
By Type, Airborne Segment to Reach $15.2 Billion by 2026
Global market for Airborne (Type) segment is estimated at US$8.9 Billion in 2020, and is projected to reach US$15.2 Billion by 2026 reflecting a compounded annual growth rate of 9.6% over the analysis period. The United States constitutes the largest regional market for Airborne segment, accounting for 40.2% of the global sales in 2020. China is poised to register the fastest compounded annual growth rate of 12.3% over the analysis period, to reach US$3.3 Billion by the end of the analysis period.
Select Competitors (Total 110 Featured)
- AeroVironment Inc.
- BAE Systems plc
- Boeing Company
- Boston Dynamics
- Clearpath Robotics Inc.
- Elbit Systems Ltd.
- Endeavor Robotics
- General Atomics
- General Dynamics Corporation
- Israel Aerospace Industries (IAI)
- Lockheed Martin Corporation
- Northrop Grumman Corporation
- Oceaneering International Inc.
- QinetiQ Group plc
- Saab AB
- Textron Inc.
- Thales Group
Read the full report: https://www.reportlinker.com/p05442633/?utm_source=GNW
I. METHODOLOGY
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
Impact of Covid-19 and a Looming Global Recession
2020: A Year of Disruption & Transformation
As the Race between the Virus & Vaccines Intensifies, Where is
the World Economy Headed in 2021?
EXHIBIT 1: World Economic Growth Projections (Real GDP, Annual
% Change) for 2020 through 2022
Defense Robotics Exhibits Moderate Level of Resilience
COVID-19-Led Profound Changes in Relation with Technology
Pivots Incorporation of Unmanned Military Systems
Defense Spending Levels Influence Market Growth
Global Defense Spending in 2020
EXHIBIT 2: Defense Spending Trends Set Demand Dynamics for
Defense Robotics: Military Expenditure Worldwide in US$
Billion for the Years 2010 through 2020
EXHIBIT 3: Leading Countries Ranked by Defense Budgets in US$
Billion for 2020
EXHIBIT 4: Leading Countries Ranked by Defense Budgets in US$
Billion for 2020
Armed Forces Stay on Course to Hone Military Robots for Combats
despite COVID-19
Robots: An Introductory Prelude
EXHIBIT 5: Global Robots Market by End-Use Sector (in %): 2020
Defense Robotics: The Unmanned Systems for Military Applications
Classification of Defense Robots
Major Applications
Developing Regions: Hot Spots for Future Growth
Market Outlook
Myriad Benefits Offered Enhance Market Prospects
Regional Overview
The US: Key Revenue Contributor
New Robotic Equipment Developments for the US Military
US Funding Requests for UAV Programs for Financial Year 2022
The U.S. Navy Emphasizes Distributed Fleet Architecture
DoD Funding in FY2021 Defense Budget for Unmanned Systems
Europe
UK
Germany
Russia: Increasing Focus on AI-Equipped Military Robots
Developing Regions: Hot Spots for Future Growth
China: A High Potential Market for Defense Robotics
New R&D Projects to Drive Future Growth
List of Military UACVs & UAVs in China
India
India to Procure US-made Predator Drones
Competitive Scenario
Recent Market Activity
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
Ever-Hostile Geopolitical Scenario & Relentless Quest for
Military Supremacy to Sustain Spending on Military UAVs
EXHIBIT 6: Military Expenditure as a % of GDP in Select
Countries: 2020
Rapidly Evolving Role of UAVs in Border Security Programs Bodes
Well
Increase in Global Terrorism & the Ensuing Growing Security
Concerns to Drive UAV Deployments
EXHIBIT 7: Number of Terrorist Attacks Worldwide for the Period
2011-2019
EXHIBIT 8: Continued Threat of Terrorism Drives the Focus on
Surveillance as Counterterrorism Response: Global Number of
Fatalities Due to Terrorist Attacks: 2012-2019
Unmanned Aerial Vehicles (UAVs) Drive Momentum in Defense
Robotics Market
EXHIBIT 9: Global Aerial Drone Market by Application (2020):
Percentage Breakdown of Dollar Spending for Civilian and
Defense Sector
MALE & HALE UAVs Suffice Military Needs in Long-Range Tactical
Missions
Unmanned Combat Aerial Vehicles (UCAV): Strong Potential Ahead
US Army Prepares to Conduct Soldier Assessment of RCV
Prototypes in 2022
Autonomous, Smart Military Robots Set to Operate along Real
Warfighters
Killer Robots: The Risks
Unmanned Ground Vehicles (UGVs) Enable Seamless Efficiency in
Ground Operations
Robotic Arms Enhance the Functionality of UGVs
New Line of Ground Robots to Widen Market Prospects of UGVs
Unmanned Marine Vehicles (UMVs) Gain Critical Interest in
Maritime Operations
USVs Seek Bigger Role in Maritime Operations
New Capabilities for Diverse Missions Drive USV Adoption
UUVs Make Steady Progress
EXHIBIT 10: Global ROVs Market by Application (2021):
Percentage Breakdown of Dollar Spending for Military, Oil &
Gas and Other Offshore Applications, and Research
Solar Powered UAV Elicit Increasing Interest Worldwide
Artificial Intelligence (AI) Steps In to Add Next Generation
Capabilities
EXHIBIT 11: AI?s Growing Prominence in Military Applications
Boosts Opportunities: Global AI in Military Market (In US$
Billion) for the Years 2019, 2021, 2023, 202 5 & 2027
ML and AI Facilitate Autonomy of Unmanned Vehicles
Use of Robots for Reconnaissance Operations Gains Momentum as
Age of Connected Battlefield & Network Centric Warfare
Strategies Make C4ISR the Backbone of Modern Military
Operations
Rise in Integration of Weapons Systems into Robots
AI Application in Weapon Systems Raises Ethical Questions
AUV Drive Growth in UUV Segment
EXHIBIT 12: Global AUVs Market by Application (2021):
Percentage Breakdown of Dollar Spending for Commercial,
Military and Research
Drone Swarm Technology Gains Pace
Recent Developments in Defense Robotics Research
US Army Pushes for Stronger Divisions, Smaller Brigades, and
More Robots
4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Defense Robotics
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 2: World Historic Review for Defense Robotics by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2016 through 2019 and
% CAGR
Table 3: World 11-Year Perspective for Defense Robotics by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets for Years 2016, 2021 & 2027
Table 4: World Current & Future Analysis for Human Operated by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 5: World Historic Review for Human Operated by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Sales in
US$ Million for Years 2016 through 2019 and % CAGR
Table 6: World 11-Year Perspective for Human Operated by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2016, 2021 & 2027
Table 7: World Current & Future Analysis for Autonomous by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 8: World Historic Review for Autonomous by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Sales in
US$ Million for Years 2016 through 2019 and % CAGR
Table 9: World 11-Year Perspective for Autonomous by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2016, 2021 & 2027
Table 10: World Current & Future Analysis for Airborne by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 11: World Historic Review for Airborne by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Sales in
US$ Million for Years 2016 through 2019 and % CAGR
Table 12: World 11-Year Perspective for Airborne by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2016, 2021 & 2027
Table 13: World Current & Future Analysis for Marine by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 14: World Historic Review for Marine by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets – Independent Analysis of Annual Sales in US$
Million for Years 2016 through 2019 and % CAGR
Table 15: World 11-Year Perspective for Marine by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2016, 2021 & 2027
Table 16: World Current & Future Analysis for Land by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 17: World Historic Review for Land by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets – Independent Analysis of Annual Sales in US$
Million for Years 2016 through 2019 and % CAGR
Table 18: World 11-Year Perspective for Land by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2016, 2021 & 2027
III. MARKET ANALYSIS
UNITED STATES
Table 19: USA Current & Future Analysis for Defense Robotics by
Mode Of Operation – Human Operated and Autonomous – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 20: USA Historic Review for Defense Robotics by Mode Of
Operation – Human Operated and Autonomous Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 21: USA 11-Year Perspective for Defense Robotics by Mode
Of Operation – Percentage Breakdown of Value Sales for Human
Operated and Autonomous for the Years 2016, 2021 & 2027
Table 22: USA Current & Future Analysis for Defense Robotics by
Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 23: USA Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 24: USA 11-Year Perspective for Defense Robotics by Type –
Percentage Breakdown of Value Sales for Airborne, Marine and
Land for the Years 2016, 2021 & 2027
CANADA
Table 25: Canada Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 26: Canada Historic Review for Defense Robotics by Mode
Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 27: Canada 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 28: Canada Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 29: Canada Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 30: Canada 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
JAPAN
Table 31: Japan Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 32: Japan Historic Review for Defense Robotics by Mode Of
Operation – Human Operated and Autonomous Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 33: Japan 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 34: Japan Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 35: Japan Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 36: Japan 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
CHINA
Table 37: China Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 38: China Historic Review for Defense Robotics by Mode Of
Operation – Human Operated and Autonomous Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 39: China 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 40: China Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 41: China Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 42: China 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
EUROPE
Table 43: Europe Current & Future Analysis for Defense Robotics
by Geographic Region – France, Germany, Italy, UK and Rest of
Europe Markets – Independent Analysis of Annual Sales in US$
Million for Years 2020 through 2027 and % CAGR
Table 44: Europe Historic Review for Defense Robotics by
Geographic Region – France, Germany, Italy, UK and Rest of
Europe Markets – Independent Analysis of Annual Sales in US$
Million for Years 2016 through 2019 and % CAGR
Table 45: Europe 11-Year Perspective for Defense Robotics by
Geographic Region – Percentage Breakdown of Value Sales for
France, Germany, Italy, UK and Rest of Europe Markets for Years
2016, 2021 & 2027
Table 46: Europe Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 47: Europe Historic Review for Defense Robotics by Mode
Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 48: Europe 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 49: Europe Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 50: Europe Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 51: Europe 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
FRANCE
Table 52: France Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 53: France Historic Review for Defense Robotics by Mode
Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 54: France 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 55: France Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 56: France Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 57: France 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
GERMANY
Table 58: Germany Current & Future Analysis for Defense
Robotics by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 59: Germany Historic Review for Defense Robotics by Mode
Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 60: Germany 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 61: Germany Current & Future Analysis for Defense
Robotics by Type – Airborne, Marine and Land – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 62: Germany Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 63: Germany 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
ITALY
Table 64: Italy Current & Future Analysis for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 65: Italy Historic Review for Defense Robotics by Mode Of
Operation – Human Operated and Autonomous Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 66: Italy 11-Year Perspective for Defense Robotics by
Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 67: Italy Current & Future Analysis for Defense Robotics
by Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 68: Italy Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 69: Italy 11-Year Perspective for Defense Robotics by
Type – Percentage Breakdown of Value Sales for Airborne, Marine
and Land for the Years 2016, 2021 & 2027
UNITED KINGDOM
Table 70: UK Current & Future Analysis for Defense Robotics by
Mode Of Operation – Human Operated and Autonomous – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 71: UK Historic Review for Defense Robotics by Mode Of
Operation – Human Operated and Autonomous Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 72: UK 11-Year Perspective for Defense Robotics by Mode
Of Operation – Percentage Breakdown of Value Sales for Human
Operated and Autonomous for the Years 2016, 2021 & 2027
Table 73: UK Current & Future Analysis for Defense Robotics by
Type – Airborne, Marine and Land – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 74: UK Historic Review for Defense Robotics by Type –
Airborne, Marine and Land Markets – Independent Analysis of
Annual Sales in US$ Million for Years 2016 through 2019 and %
CAGR
Table 75: UK 11-Year Perspective for Defense Robotics by Type –
Percentage Breakdown of Value Sales for Airborne, Marine and
Land for the Years 2016, 2021 & 2027
REST OF EUROPE
Table 76: Rest of Europe Current & Future Analysis for Defense
Robotics by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 77: Rest of Europe Historic Review for Defense Robotics
by Mode Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 78: Rest of Europe 11-Year Perspective for Defense
Robotics by Mode Of Operation – Percentage Breakdown of Value
Sales for Human Operated and Autonomous for the Years 2016,
2021 & 2027
Table 79: Rest of Europe Current & Future Analysis for Defense
Robotics by Type – Airborne, Marine and Land – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 80: Rest of Europe Historic Review for Defense Robotics
by Type – Airborne, Marine and Land Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2016 through
2019 and % CAGR
Table 81: Rest of Europe 11-Year Perspective for Defense
Robotics by Type – Percentage Breakdown of Value Sales for
Airborne, Marine and Land for the Years 2016, 2021 & 2027
ASIA-PACIFIC
Table 82: Asia-Pacific Current & Future Analysis for Defense
Robotics by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 83: Asia-Pacific Historic Review for Defense Robotics by
Mode Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 84: Asia-Pacific 11-Year Perspective for Defense Robotics
by Mode Of Operation – Percentage Breakdown of Value Sales for
Human Operated and Autonomous for the Years 2016, 2021 & 2027
Table 85: Asia-Pacific Current & Future Analysis for Defense
Robotics by Type – Airborne, Marine and Land – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 86: Asia-Pacific Historic Review for Defense Robotics by
Type – Airborne, Marine and Land Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2016 through 2019 and
% CAGR
Table 87: Asia-Pacific 11-Year Perspective for Defense Robotics
by Type – Percentage Breakdown of Value Sales for Airborne,
Marine and Land for the Years 2016, 2021 & 2027
REST OF WORLD
Table 88: Rest of World Current & Future Analysis for Defense
Robotics by Mode Of Operation – Human Operated and Autonomous –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 89: Rest of World Historic Review for Defense Robotics by
Mode Of Operation – Human Operated and Autonomous Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2016 through 2019 and % CAGR
Table 90: Rest of World 11-Year Perspective for Defense
Robotics by Mode Of Operation – Percentage Breakdown of Value
Sales for Human Operated and Autonomous for the Years 2016,
2021 & 2027
Table 91: Rest of World Current & Future Analysis for Defense
Robotics by Type – Airborne, Marine and Land – Independent
Analysis of Annual Sales in US$ Million for the Years 2020
through 2027 and % CAGR
Table 92: Rest of World Historic Review for Defense Robotics by
Type – Airborne, Marine and Land Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2016 through 2019 and
% CAGR
Table 93: Rest of World 11-Year Perspective for Defense
Robotics by Type – Percentage Breakdown of Value Sales for
Airborne, Marine and Land for the Years 2016, 2021 & 2027
IV. COMPETITION
Total Companies Profiled: 110
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Artificial Intelligence
IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry
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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View original content:https://www.prnewswire.co.uk/news-releases/ibm-government-of-canada-government-of-quebec-sign-agreements-to-strengthen-canadas-semiconductor-industry-302128212.html
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
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
*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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View original content:https://www.prnewswire.co.uk/news-releases/hitachi-acquires-ma-micro-automation-of-germany-in-effort-to-accelerate-global-expansion-of-robotic-si-business-in-the-medical-and-other-fields-302128612.html
Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
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.
View original content:https://www.prnewswire.co.uk/news-releases/10-million-artificial-intelligence-mathematical-olympiad-prize-appoints-further-advisory-committee-members-302128542.html
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