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Artificial Intelligence

Global Artificial Intelligence (AI) Market to Reach US$291.5 Billion by the Year 2026

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New York, Oct. 27, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Artificial Intelligence (AI) Industry” – https://www.reportlinker.com/p05478480/?utm_source=GNW
AI technology is associated with making machines and related processes intelligent through the use of advanced computer programming solutions. The AI technology market is poised to grow at a robust pace driven by its increasing adoption in an expanding range of applications in varied industries. The growing need to analyze and interpret burgeoning volumes of data and the escalating demand for advanced AI solutions to improve customer services are expected to fuel growth in the AI market. With significant improvements being seen in data storage capacity, computing power and parallel processing capabilities, the adoption of AI technology in various end-use sectors is on the rise. The rising adoption of cloud-based services and applications, rapid growth of big data, and the increasing need for intelligent virtual assistants are also contributing to the rapid growth of AI market. The advent of face, image, and voice recognition technologies is further favoring growth in the global market.

Amid the COVID-19 crisis, the global market for Artificial Intelligence (AI) estimated at US$47.1 Billion in the year 2020, is projected to reach a revised size of US$291.5 Billion by 2026, growing at a CAGR of 34.3% over the analysis period. Services, one of the segments analyzed in the report, is projected to grow at a 34.1% CAGR to reach US$154.8 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 Software segment is readjusted to a revised 31.7% CAGR for the next 7-year period. This segment currently accounts for a 37.9% share of the global Artificial Intelligence (AI) market. The increasing penetration of chatbots or virtual assistants for providing customer assistance in various end-use industries including e-commerce and banking is expected to further enhance demand for AI-based software and systems.

The U.S. Market is Estimated at $28.9 Billion in 2021, While China is Forecast to Reach $53.6 Billion by 2026

The Artificial Intelligence (AI) market in the U.S. is estimated at US$28.9 Billion in the year 2021. The country currently accounts for a 41.4% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$53.6 Billion in the year 2026 trailing a CAGR of 40.9% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 28.8% and 30.2% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 32.5% CAGR while Rest of European market (as defined in the study) will reach US$70.9 Billion by the end of the analysis period. The dominant share of the US is mainly attributed to the widespread adoption of AI technology in several end-use industries including media, e-commerce and manufacturing. Increased funding for developing and advancing AI technology and applications, and a robust technical adoption base are also favoring growth. Europe, is the second largest regional AI market. Europe is expected to witness a significant increase in the deployments of cloud-based AI solutions, driven by the growing consumer demand for on-demand and faster access to data and relatively easy document control. Europe`s AI market is likely to benefit from the European Commission`s plans to invest €20 billion for AI research during the period 2018-2020 in order to fuel R&D initiatives for businesses and government. Growth in Asia-Pacific including China is propelled by the increasing adoption of natural language processing (NLP) and deep learning technologies in sectors such as marketing, finance, law, and agriculture. The market also benefits from the rapid pace of improvements being seen in computing power, data storage capacity and processing capabilities, which facilitate adoption of AI technology in sectors such as healthcare and automotive.

Hardware Segment to Reach $71.2 Billion by 2026

The constant decline in hardware costs is fueling growth in the hardware segment. By type of hardware, processor captures the largest share of the AI chipsets market, due mainly to the rising demand for high computing processors for running AI algorithms in servers and for the development of edge devices. In the global Hardware segment, USA, Canada, Japan, China and Europe will drive the 38.2% CAGR estimated for this segment. These regional markets accounting for a combined market size of US$7.8 Billion in the year 2020 will reach a projected size of US$74.8 Billion by the close of the analysis period. China will remain among the fastest growing in this cluster of regional markets. Led by countries such as Australia, India, and South Korea, the market in Asia-Pacific is forecast to reach US$9.8 Billion by the year 2026.
Select Competitors (Total 300 Featured)

  • Accenture
  • AIBrain, Inc.
  • Amazon Web Services
  • Baidu, Inc.
  • BIGO Technology
  • ByteDance Ltd
  • Cisco Systems, Inc.
  • CloudMinds
  • Dell Technologies
  • eGain Corporation
  • Esri
  • Facebook, Inc.
  • General Electric Company
  • Google, Inc.
  • Habana Labs Ltd
  • Inspur
  • Intel Corporation
  • International Business Machines Corporation (IBM)
  • IPsoft Inc
  • Micron Technology, Inc.
  • Microsoft Corporation
  • Mobileye, an Intel Company
  • NetEase Fuxi Lab
  • NetEase, Inc
  • Next IT Corporation
  • NICE inContact
  • Nuance Communications, Inc.
  • NVIDIA Corporation
  • Omron Robotics and Safety Technologies, Inc
  • Oracle Corporation
  • Rockwell Automation, Inc.
  • Salesforce.com, inc.
  • Samsung Electronics Co., Ltd.
  • SAP SE
  • SAS Institute Inc.
  • Siemens AG
  • Smartron India Private Limited
  • The Hewlett-Packard Company
  • Trifo
  • Xilinx, Inc.

Read the full report: https://www.reportlinker.com/p05478480/?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
Artificial Intelligence Gains Interest during COVID-19 Pandemic
Artificial Intelligence Makes Significant Contribution in War
against COVID-19
Machine Learning Benefits Healthcare Organizations
AI-Powered Sentiment Analysis Scales & Shapes Vaccination
Programs in US
Industrial and Commercial Applications Take a Hit as COVID-19
Evolves Into an Economic Crisis
EXHIBIT 2: Global PMI Index Points for the Years 2018, 2019 & 2020
EXHIBIT 3: Business Confidence Index (BCI) Points for 3Q 2019,
4Q 2019, 1Q 2020, & 2Q 2020
COVID-19-Led Budgetary Reticence Dampens Spending, but AI
Enjoys Resilient Interest in Banking Sector
Retailers Rely on AI during COVID-19 to Stay Afloat & Embrace
New Normal
Emphasis on Technology Adoption Elicits AI Implementation in
Manufacturing Industry
AI & Machine Learning to Redefine Manufacturing Operations
Artificial Intelligence (AI): A Prelude
Technologies Enabling AI
Outlook
Advances in Real World AI Applications Bolster Growth
Inherent Advantages of AI Technology to Accelerate Adoption in
Varied Applications
Banking Sector Shows Unwavering Interest in AI
AI Reshapes the Future of Manufacturing Industry
AI-based Services Segment Captures Major Share of Global AI Market
Developed Markets Dominate, Asia-Pacific to Spearhead Future
Growth
Deep Learning and Digital Assistant Technologies Present
Significant Growth Potential
Major Challenges Faced in AI Implementation
Competition
AI Marketplace Characterized by Intense Competition
EXHIBIT 4: Global Artificial Intelligence Market by Leading
Vendors for 2020
Growing Focus on AI by Leading Tech Companies with Huge
Financial Resources
Investments in AI Startups on Rise
EXHIBIT 5: Global AI Startup Funding (in US$ Million) for the
Years 2014 through Q12020
EXHIBIT 6: Number of AI Startups with $1 Billion Valuations for
the Years 2014-2020
EXHIBIT 7: AI Cumulative Funding (in US$ Billion) by Category
(As of 2020)
AI Applications and Major Startups
Select Companies Raising AI Investments in 2020
EXHIBIT 8: Total Number of Investments in AI by Investor Type:
April 2021
World Brands
Recent Market Activity

2. FOCUS ON SELECT PLAYERS

3. MARKET TRENDS & DRIVERS
AI Breakthroughs with Significant Potential to Radically
Transform Future
Machine Learning and AI-Assisted Platforms to Personalize
Customer Experiences in Marketing Applications
EXHIBIT 9: Ranking of Business Outcomes Realized through AI
Application in Marketing
Ecommerce Attracts Strong Growth
Detailed Insight into how e-commerce makes use of AI
3x Faster Acceleration in E-Commerce Induced by the Pandemic
Brings Out Automated Fulfilment of E-Commerce Orders as a
Major Growth Driver
EXHIBIT 10: Global B2C e-Commerce Market Reset & Trajectory –
Growth Outlook (In %) For Years 2019 through 2025
EXHIBIT 11: Retail M-Commerce Sales as % of Retail E-commerce
Sales Worldwide for the Years 2016, 2018, 2020 & 2022
AI Hosting at Edge to Drive Growth
EXHIBIT 12: Global Edge Computing Market in US$ Billion: 2020,
2024, and 2026
AI-enabled Analysis and Forecasts Aid Organizations Make
Profitable Decisions
AI-Powered Biometric Security Solutions Gain Momentum
EXHIBIT 13: Global Biometrics Market in US$ Billion: 2016,
2020, and 2025
New and Improved Concepts in ML and AI take Stage
IIoT & AI Convergence Brings in Improved Efficiencies
EXHIBIT 14: Global Breakdown of Investments in Manufacturing
IoT (in US$ Billion) for the Years 2016, 2018, 2020 and 2025
Increasing Adoption of AI Technology to Boost AI Chipsets Market
Combination of Robotics and AI Set to Cause Significant
Disruption in Various Industries
AI in Customer-Centric Operations Gain Momentum
AI Innovations Widen Prospects
Blockchain & Artificial Intelligence (AI): A Powerful Combination
Notable Trends in the Artificial Intelligence Market
Big Data Trends to Shape Future of Artificial Intelligence
AI Exudes Potential to Mitigate Adversities Amid COVID-19
AI in Retail Market: Multi-Channel Retailing and e-Commerce
Favor Segment Growth
AI for a Competitive Edge for Retail Organizations
Online Retailers Eye on Artificial Intelligence to Boost
Business in Post-COVID-19 Era
AI & Analytics Help Retailers Survive Economic & Operational
Implications of COVID-19
AI for Fashion Retail and Beauty
AI for Grocery, Electronics, and Home & Furniture
Financial Sector: AI and Machine Learning Offer Numerous Gains
Fintech Deploys AI to Target Millennials
AI in Media & Advertising: Targeting Customers with Right
Marketing Content
COVID-19 Impacts Advertising Industry, Affects AI Investments
EXHIBIT 15: COVID-19 Impact on Global Ad Spending: March 2020
Possibilities Galore for AI in Digital Marketing
Marketing Functions Where AI is Yet Impossible to Deploy
AI-Enabled CRM Market: Promising Growth Opportunities in Store
Artificial Intelligence to Transform Delivery of Healthcare
Services
Healthcare AI Market to Experience Remarkable Expansion
EXHIBIT 16: Global Healthcare AI Market – Percentage Breakdown
by Application for 2020
EXHIBIT 17: Worldwide Current & Required Healthcare Spending as
% of GDP
AI in Medical Diagnostics and Pharmaceutical Sectors
COVID-19 Spurs New Developments and Expedites AI Adoption in
Healthcare Industry
Developments Impacting AI in Healthcare Domain
Artificial Intelligence Holds Potential to Accelerate Detection &
Treatment of COVID-19
Detecting Personalized Therapeutic Targets
Rising Prevalence of Diabetes to Drive AI Adoption in Diabetes
Management Market
EXHIBIT 18: World Diabetes Prevalence (2000-2045P)
Barriers Restraining AI Adoption in Healthcare Sector
Automotive AI Market: Need to Enhance Customer Experience and
Increasing Focus on Autonomous Vehicles Propels Growth
EXHIBIT 19: Automotive AI Market By Segment
Slowdown in Automobile Production Hit AI Investments in Auto
Sector
EXHIBIT 20: Automobile Production % YoY Change Across Select
Countries: 2020 Vs 2019
EXHIBIT 21: Reduction in Automotive Demand in 2020 (In Million
Vehicles)
EXHIBIT 22: World Automobile Production in Million Units: 2008
-2022
COVID-19 Outbreak to Speed up Digitalization & Automation in
Automotive Sector
Driverless Cars: The Ultimate Future of AI in Auto industry
Automakers Focus on Integrating AI-Powered Driver Assist
Features in Vehicles
AI to Enhance Connectivity, Provide Infotainment and Enhance
Safety in Vehicles
AI for Smart Insurance Risk Assessment of Vehicles
Artificial Intelligence Steps into Manufacturing Space to
Transform Diverse Aspects
Industrial IoT, Robotics and Big Data to Stimulate AI
Implementations
EXHIBIT 23: Global Investments on Industry 4.0 Technologies
(in US$ Billion) for the Years 2017, 2020, & 2023
AI Moves from Factory Floor to Supply Chain and Beyond
Machine Learning: Growing Role in Smart Manufacturing
AI as a Service Market: Obviating the Need to Make Huge Initial
Investments
AI in Education Market to Exhibit Strong Growth
EXHIBIT 24: Global Market for AI in Healthcare Sector (2019):
Percentage Breakdown of Revenues by End-Use – Higher Education
and K-12 Sectors
Focus on ITS, IAL and Chatbots Favors Market Growth
Agriculture Sector: A Promising Market for AI Implementations
AI Technologies Used in Agricultural Activities – A Review
AI Poised to Create Smarter Agriculture Practices in Post-
COVID-19 Period
Food & Beverage Industry to Leverage AI Capabilities to Resolve
Production Issues and Match Up to Customer Expectations
AI Adoption Gains Acceptance in Modern Warfare Systems in the
Defense Sector
Energy & Utilities: Complex Landscape and High Risk of
Malfunctions Enhances Need for AI-based Systems
COVID-19 Raises Demand for AI Technologies in Oil & Gas Sector
AI in Construction Sector: Need for Cost Reduction and Safety
at Construction Sites Drive Focus onto the Use of AI-based
Solutions
AI Contributing in Sustaining Critical Infrastructure Amid
COVID-19

4. GLOBAL MARKET PERSPECTIVE
Table 1: World Current & Future Analysis for Artificial
Intelligence (AI) by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 2: World Historic Review for Artificial Intelligence (AI)
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 3: World 12-Year Perspective for Artificial Intelligence
(AI) by Geographic Region – Percentage Breakdown of Value
Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific
and Rest of World Markets for Years 2015, 2021 & 2027

Table 4: World Current & Future Analysis for Services by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 5: World Historic Review for Services by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 6: World 12-Year Perspective for Services by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2015, 2021 & 2027

Table 7: World Current & Future Analysis for Software by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 8: World Historic Review for Software by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 9: World 12-Year Perspective for Software by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2015, 2021 & 2027

Table 10: World Current & Future Analysis for Hardware by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 11: World Historic Review for Hardware by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 12: World 12-Year Perspective for Hardware by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2015, 2021 & 2027

Table 13: World Current & Future Analysis for Computer Vision
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 14: World Historic Review for Computer Vision by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 15: World 12-Year Perspective for Computer Vision by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 16: World Current & Future Analysis for Machine Learning
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 17: World Historic Review for Machine Learning by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 18: World 12-Year Perspective for Machine Learning by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 19: World Current & Future Analysis for Context Aware
Computing by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Revenues in US$ Million for Years 2020
through 2027 and % CAGR

Table 20: World Historic Review for Context Aware Computing by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 21: World 12-Year Perspective for Context Aware Computing
by Geographic Region – Percentage Breakdown of Value Revenues
for USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 22: World Current & Future Analysis for Natural Language
Processing by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Revenues in US$ Million for Years 2020
through 2027 and % CAGR

Table 23: World Historic Review for Natural Language Processing
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 24: World 12-Year Perspective for Natural Language
Processing by Geographic Region – Percentage Breakdown of Value
Revenues for USA, Canada, Japan, China, Europe, Asia-Pacific
and Rest of World for Years 2015, 2021 & 2027

Table 25: World Current & Future Analysis for Advertising &
Media by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 26: World Historic Review for Advertising & Media by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 27: World 12-Year Perspective for Advertising & Media by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 28: World Current & Future Analysis for BFSI by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 29: World Historic Review for BFSI by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2015 through 2019 and % CAGR

Table 30: World 12-Year Perspective for BFSI by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2015, 2021 & 2027

Table 31: World Current & Future Analysis for Healthcare by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 32: World Historic Review for Healthcare by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 33: World 12-Year Perspective for Healthcare by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 34: World Current & Future Analysis for Retail by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 35: World Historic Review for Retail by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2015 through 2019 and % CAGR

Table 36: World 12-Year Perspective for Retail by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific and Rest of World
for Years 2015, 2021 & 2027

Table 37: World Current & Future Analysis for Automotive &
Transportation by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2020 through 2027 and % CAGR

Table 38: World Historic Review for Automotive & Transportation
by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 39: World 12-Year Perspective for Automotive &
Transportation by Geographic Region – Percentage Breakdown of
Value Revenues for USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World for Years 2015, 2021 & 2027

Table 40: World Current & Future Analysis for Manufacturing by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 41: World Historic Review for Manufacturing by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 42: World 12-Year Perspective for Manufacturing by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 43: World Current & Future Analysis for Agriculture by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 44: World Historic Review for Agriculture by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific and
Rest of World Markets – Independent Analysis of Annual Revenues
in US$ Million for Years 2015 through 2019 and % CAGR

Table 45: World 12-Year Perspective for Agriculture by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

Table 46: World Current & Future Analysis for Other End-Uses by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2020 through 2027
and % CAGR

Table 47: World Historic Review for Other End-Uses by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Revenues in US$ Million for Years 2015 through 2019
and % CAGR

Table 48: World 12-Year Perspective for Other End-Uses by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2015, 2021 & 2027

III. MARKET ANALYSIS

UNITED STATES
Artificial Intelligence Market: An Overview
Healthcare: A Promising Application Market for AI Technology
Funding for AI Startups in the US Continues to Grow
EXHIBIT 25: AI Funding in the US: VC Deal Value (in $ Billion)
and Number of Deals in AI and ML Technologies for 2011 through
Q1 2021
EXHIBIT 26: Leading Artificial Intelligence Startups by Total
Equity Funding ($ Million) in the US From 2016 to 2021
Regulatory Support for AI
Market Analytics
Table 49: USA Current & Future Analysis for Artificial
Intelligence (AI) by Component – Services, Software and
Hardware – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 50: USA Historic Review for Artificial Intelligence (AI)
by Component – Services, Software and Hardware Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 51: USA 12-Year Perspective for Artificial Intelligence
(AI) by Component – Percentage Breakdown of Value Revenues for
Services, Software and Hardware for the Years 2015, 2021 & 2027

Table 52: USA Current & Future Analysis for Artificial
Intelligence (AI) by Technology – Computer Vision, Machine
Learning, Context Aware Computing and Natural Language
Processing – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 53: USA Historic Review for Artificial Intelligence (AI)
by Technology – Computer Vision, Machine Learning, Context
Aware Computing and Natural Language Processing Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 54: USA 12-Year Perspective for Artificial Intelligence
(AI) by Technology – Percentage Breakdown of Value Revenues for
Computer Vision, Machine Learning, Context Aware Computing and
Natural Language Processing for the Years 2015, 2021 & 2027

Table 55: USA Current & Future Analysis for Artificial
Intelligence (AI) by End-Use – Advertising & Media, BFSI,
Healthcare, Retail, Automotive & Transportation, Manufacturing,
Agriculture and Other End-Uses – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 56: USA Historic Review for Artificial Intelligence (AI)
by End-Use – Advertising & Media, BFSI, Healthcare, Retail,
Automotive & Transportation, Manufacturing, Agriculture and
Other End-Uses Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2015 through 2019 and % CAGR

Table 57: USA 12-Year Perspective for Artificial Intelligence
(AI) by End-Use – Percentage Breakdown of Value Revenues for
Advertising & Media, BFSI, Healthcare, Retail, Automotive &
Transportation, Manufacturing, Agriculture and Other End-Uses
for the Years 2015, 2021 & 2027

CANADA
Market Overview
Top-Tier Canadian Cities Primed for AI Growth
EXHIBIT 27: Funding in Artificial Intelligence (AI) Companies
(in US Million) in Canada for the Years 2014-2019
Market Analytics
Table 58: Canada Current & Future Analysis for Artificial
Intelligence (AI) by Component – Services, Software and
Hardware – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 59: Canada Historic Review for Artificial Intelligence
(AI) by Component – Services, Software and Hardware Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 60: Canada 12-Year Perspective for Artificial
Intelligence (AI) by Component – Percentage Breakdown of Value
Revenues for Services, Software and Hardware for the Years
2015, 2021 & 2027

Table 61: Canada Current & Future Analysis for Artificial
Intelligence (AI) by Technology – Computer Vision, Machine
Learning, Context Aware Computing and Natural Language
Processing – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 62: Canada Historic Review for Artificial Intelligence
(AI) by Technology – Computer Vision, Machine Learning, Context
Aware Computing and Natural Language Processing Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 63: Canada 12-Year Perspective for Artificial
Intelligence (AI) by Technology – Percentage Breakdown of Value
Revenues for Computer Vision, Machine Learning, Context Aware
Computing and Natural Language Processing for the Years 2015,
2021 & 2027

Table 64: Canada Current & Future Analysis for Artificial
Intelligence (AI) by End-Use – Advertising & Media, BFSI,
Healthcare, Retail, Automotive & Transportation, Manufacturing,
Agriculture and Other End-Uses – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 65: Canada Historic Review for Artificial Intelligence
(AI) by End-Use – Advertising & Media, BFSI, Healthcare,
Retail, Automotive & Transportation, Manufacturing, Agriculture
and Other End-Uses Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2015 through 2019 and % CAGR

Table 66: Canada 12-Year Perspective for Artificial
Intelligence (AI) by End-Use – Percentage Breakdown of Value
Revenues for Advertising & Media, BFSI, Healthcare, Retail,
Automotive & Transportation, Manufacturing, Agriculture and
Other End-Uses for the Years 2015, 2021 & 2027

JAPAN
Market Overview
Market Analytics
Table 67: Japan Current & Future Analysis for Artificial
Intelligence (AI) by Component – Services, Software and
Hardware – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 68: Japan Historic Review for Artificial Intelligence
(AI) by Component – Services, Software and Hardware Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 69: Japan 12-Year Perspective for Artificial Intelligence
(AI) by Component – Percentage Breakdown of Value Revenues for
Services, Software and Hardware for the Years 2015, 2021 & 2027

Table 70: Japan Current & Future Analysis for Artificial
Intelligence (AI) by Technology – Computer Vision, Machine
Learning, Context Aware Computing and Natural Language
Processing – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 71: Japan Historic Review for Artificial Intelligence
(AI) by Technology – Computer Vision, Machine Learning, Context
Aware Computing and Natural Language Processing Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 72: Japan 12-Year Perspective for Artificial Intelligence
(AI) by Technology – Percentage Breakdown of Value Revenues for
Computer Vision, Machine Learning, Context Aware Computing and
Natural Language Processing for the Years 2015, 2021 & 2027

Table 73: Japan Current & Future Analysis for Artificial
Intelligence (AI) by End-Use – Advertising & Media, BFSI,
Healthcare, Retail, Automotive & Transportation, Manufacturing,
Agriculture and Other End-Uses – Independent Analysis of Annual
Revenues in US$ Million for the Years 2020 through 2027 and %
CAGR

Table 74: Japan Historic Review for Artificial Intelligence
(AI) by End-Use – Advertising & Media, BFSI, Healthcare,
Retail, Automotive & Transportation, Manufacturing, Agriculture
and Other End-Uses Markets – Independent Analysis of Annual
Revenues in US$ Million for Years 2015 through 2019 and % CAGR

Table 75: Japan 12-Year Perspective for Artificial Intelligence
(AI) by End-Use – Percentage Breakdown of Value Revenues for
Advertising & Media, BFSI, Healthcare, Retail, Automotive &
Transportation, Manufacturing, Agriculture and Other End-Uses
for the Years 2015, 2021 & 2027

CHINA
Market Overview
A Vast Talent Pool: Advantage China!
Government Support and Increasing Venture Capital Funding
China Continues Investments in AI Startups
EXHIBIT 28: Chinese AI Market: Funding for AI Startups (in $
Million) for the Period Q1 2017 through Q1 2020
EXHIBIT 29: Leading Chinese AI Startups by Equity Funding (in $
Million) as of June 2020
EXHIBIT 30: Number of New AI Startups in China: 2015-2020
Market Analytics
Table 76: China Current & Future Analysis for Artificial
Intelligence (AI) by Component – Services, Software and
Hardware – Independent Analysis of Annual Revenues in US$
Million for the Years 2020 through 2027 and % CAGR

Table 77: China Historic Review for Artificial Intelligence
(AI) by Component – Services, Software and Hardware Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2015 through 2019 and % CAGR

Table 78: China 12-Year Perspective for Artificial Intelligence
(AI) by Component – Percentage Breakdown of Value Revenues for
Services, Software and Hardware for the Years 2015, 2021 & 2027

Table 79: China Current & Future Analysis for Artificial

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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.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
 

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