Artificial Intelligence
Global Artificial Intelligence (AI) Infrastructure Market to Reach $165.2 Billion by 2030
New York, July 03, 2023 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Artificial Intelligence (AI) Infrastructure Industry” – https://www.reportlinker.com/p06030751/?utm_source=GNW
Hardware, one of the segments analyzed in the report, is projected to record a 23.3% CAGR and reach US$75.4 Billion by the end of the analysis period. Taking into account the ongoing post pandemic recovery, growth in the Software segment is readjusted to a revised 26.3% CAGR for the next 8-year period.
The U.S. Market is Estimated at $9 Billion, While China is Forecast to Grow at 32.7% CAGR
The Artificial Intelligence (AI) Infrastructure market in the U.S. is estimated at US$9 Billion in the year 2022. China, the world`s second largest economy, is forecast to reach a projected market size of US$38.2 Billion by the year 2030 trailing a CAGR of 32.7% over the analysis period 2022 to 2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 18.9% and 20.7% respectively over the 2022-2030 period. Within Europe, Germany is forecast to grow at approximately 22% CAGR.
Select Competitors (Total 140 Featured)
– Advanced Micro Devices (AMD)
– Amazon Web Services
– ARM
– Cadence Design Systems
– Cambricon Technologies
– CISCO Corporation
– Dell
– Google
– Graphcore
– Gyrfalcon Technology Inc.
– Habana Labs
– HPE
– IBM Corporation
– Imagination Technologies
– Intel Corporation
– Micron Technology
– Microsoft Corporation
– NVIDIA Corporation
– S K Hynix Inc.
– Samsung Electronics
– Synopsys Inc
– Tenstorrent
– Toshiba
– Wave Computing
– Xilinx
Read the full report: https://www.reportlinker.com/p06030751/?utm_source=GNW
I. METHODOLOGY
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
From Pandemic to War & Inflation: ?Gloomy Outlook for 2023
Despite Signs of Easing Inflationary Conditions?
Here?s How Inflationary Pressures Affect the Economy
Russia-Ukraine War, the Primary Culprit Responsible for the
Hardships
Although Past Peak in 2023, Efforts to Solve the Inflation
Puzzle Should Continue
Here?s What?s Causing Inflationary Pressures in the Global Market
Shaken by the War, Global Oil Prices Spiral and Feed
Inflationary Pressures, Guiding the World Towards a Cost of
Living Crisis: Global Average Annual Brent Crude Oil Price
(In US$ Per Barrel) for Years 2017 through 2024
War-Induced Commodity Price Increases & Broad Based Price
Pressures Mark the Return of Global Inflation to the Highest
Level Seen Since 1996: Global Inflation Rates (In %) for the
Years 2019 Through 2024
Although Facing a Lower Recession Risk, Global Economic Growth
in 2023 to Slowdown Amid War, Inflation, Elevated Interest
Rates & Marginal Easing of Inflation: World Economic Growth
Projections (Real GDP, Annual % Change) for the Years 2020
Through 2024
Recession Triggered by Uncontrolled Inflation or Unemployment,
Which is the Greater Evil? Inflation Battling Policy Measures
to Slowdown Post Pandemic Recovery in Unemployment Rates:
Global Number of Unemployed People (In Million) for Years
2019 Through 2024
COVID-19 Pandemic Tips the Scale in Favor of AI Infrastructure
Market
Competitive Scenario
Select Innovations and Advancements
Artificial Intelligence (AI) Infrastructure – Global Key
Competitors Percentage Market Share in 2023 (E)
Competitive Market Presence – Strong/Active/Niche/Trivial for
Players Worldwide in 2023 (E)
Artificial Intelligence Continues to be on an Upward Trend
Global Market for Artificial Intelligence (AI) (In US$ Billion)
for Years 2023, 2025 & 2027
AI Infrastructure of the Future Trending Towards Becoming More
Modular
Steep Rise of AI Carves Pathway to Grand Success for Global AI
Infrastructure Market: Prospects & Outlook
Dynamic Factors Bringing Excitement for Global AI
Infrastructure Market: Drivers, Restraints, Opportunities, and
Challenges
Parallel Computing in AI Datacenters
Rising Uptake of AI Systems, Hardware & Software
Better Access to Cloud Applications
Focus on Customer Satisfaction & Cloud Applications
Rising Popularity of FPGAs
Shortage of Skilled Professionals & AI Hardware Experts
Increasing Requirement of Co-Processors
Industry-AL/ML Provider Partnerships
Data Privacy Issues & Lack of Quality Data
Analysis by Component
World Intelligence (AI) Infrastructure Market by Component
(2023 & 2030): Percentage Breakdown of Revenues for Hardware,
Software, and Services
Analysis by Technology
World Intelligence (AI) Infrastructure Market by Technology
(2023 & 2030): Percentage Breakdown of Revenues for Machine
Learning, and Deep Learning
Analysis by Deployment
World Intelligence (AI) Infrastructure Market by Deployment
(2023 & 2030): Percentage Breakdown of Revenues for Cloud,
Hybrid and On-Premise
Cloud Unleashing Advanced Machine Learning Capabilities
Regional Analysis
World Intelligence (AI) Infrastructure Market by Region (2023 &
2030): Percentage Breakdown of Revenues for Developed and
Developing Regions
World Artificial Intelligence (AI) Infrastructure Market –
Geographic Regions Ranked by CAGR (Revenues) for 2022-2030:
China, Asia-Pacific, Latin America, Rest of World, USA,
Europe, Canada, and Japan
Artificial Intelligence (AI): A Prelude
Technologies Enabling AI
Interconnection is Crucial to Develop AI Successfully
Artificial Intelligence Infrastructure Gains Momentum
Recent Market Activity
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
Accelerating Pace of Digital Transformation to Benefit Demand
for AI
Digital Transformation by Industry: 2022E
Industry Adoption of Artificial Intelligence (AI) by Function:
2020
Accelerating AI Growth Backed by Future Secure Digital
Infrastructure
Industrial IoT, Robotics and Big Data to Stimulate AI
Implementations
Global Investments on Industry 4.0 Technologies (in US$
Billion) for the Years 2017, 2020, & 2023
Demand for Artificial Intelligence, Machine Learning, and Deep
Learning Gains Momentum
Purpose-Built AI Infrastructure Gaining Importance in Modern
Enterprises
AI/ML Offers Significant ROI Possibilities for Enterprises
AI-ready Infrastructure Utilization Help Accelerating the Journey
Can AI Be Trusted for Implementation in Critical Infrastructures?
Increasing Adoption of AI Technology to Boost AI Chipsets Market
Use of Graphic Processing Units (GPUs) Witnesses a Robust Increase
AI as a Service Market: Obviating the Need to Make Huge Initial
Investments
Growing Adoption of AI Due to Pandemic to Drive Long Term Growth
Barriers Restraining AI Adoption in Healthcare Sector
Increasing investments and R&D in AI Start-Ups to Jack up
Market Demand
Number of AI Startups with $1 Billion Valuations for the Years
2014-2020
AI Cumulative Funding (in US$ Billion) by Category (As of 2020)
AI Applications and Major Startups
Industry Collaboration with AI & ML Solutions to Optimize
Digital Transformation Strategies
Growth Linked to Growing Focus on Parallel Computing in AI Data
Centers
Global Market for Modular Data Centers (In US$ Million) for
Years 2023, 2025 and 2027
Machine Learning and AI-Assisted Platforms Personalize Customer
Experiences in Marketing Applications
Ranking of Business Outcomes Realized through AI Application in
Marketing
New and Improved Concepts in ML and AI take Stage
Low-Cost, High-Performance Machine Learning Infrastructure
Continues Speeding Up Innovations in the Cloud
Rapid Shifting to Cloud-based Infrastructure is Vital to
Leverage Full Potential of Machine Learning
The Ways by Which AWS Assists Its Customers in Their Rapid AI/
ML Transformation
Deep Learning and Digital Assistant Technologies Present
Significant Growth Potential
Deep Learning & ML-Based Tools Fuel Self-Service Automation
Major Challenges Confronting Artificial Intelligence
Key Challenges Associated With AI Implementation
Increasing Use of Artificial Intelligence Leads to Regulation
Concern in Enterprises
4. GLOBAL MARKET PERSPECTIVE
Table 1: World Artificial Intelligence (AI) Infrastructure
Market Analysis of Annual Sales in US$ Million for Years 2018
through 2030
Table 2: World Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2022 through 2030 and
% CAGR
Table 3: World Historic Review for Artificial Intelligence (AI)
Infrastructure by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific, Latin America and Rest of World
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 4: World 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Geographic Region – Percentage Breakdown
of Value Revenues for USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets for Years
2018, 2023 & 2030
Table 5: World Recent Past, Current & Future Analysis for
Hardware by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 6: World Historic Review for Hardware by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 7: World 12-Year Perspective for Hardware by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 8: World Recent Past, Current & Future Analysis for
Software by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 9: World Historic Review for Software by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 10: World 12-Year Perspective for Software by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 11: World Recent Past, Current & Future Analysis for
Services by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 12: World Historic Review for Services by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 13: World 12-Year Perspective for Services by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 14: World Recent Past, Current & Future Analysis for
On-Premise by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 15: World Historic Review for On-Premise by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 16: World 12-Year Perspective for On-Premise by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World for Years 2018, 2023 & 2030
Table 17: World Recent Past, Current & Future Analysis for
Cloud by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 18: World Historic Review for Cloud by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 19: World 12-Year Perspective for Cloud by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 20: World Recent Past, Current & Future Analysis for
Hybrid by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 21: World Historic Review for Hybrid by Geographic Region –
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 22: World 12-Year Perspective for Hybrid by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 23: World Recent Past, Current & Future Analysis for
Machine Learning by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific, Latin America and Rest of World
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2022 through 2030 and % CAGR
Table 24: World Historic Review for Machine Learning by
Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2018 through 2021 and % CAGR
Table 25: World 12-Year Perspective for Machine Learning by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World for Years 2018, 2023 & 2030
Table 26: World Recent Past, Current & Future Analysis for Deep
Learning by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 27: World Historic Review for Deep Learning by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 28: World 12-Year Perspective for Deep Learning by
Geographic Region – Percentage Breakdown of Value Revenues for
USA, Canada, Japan, China, Europe, Asia-Pacific, Latin America
and Rest of World for Years 2018, 2023 & 2030
Table 29: World Recent Past, Current & Future Analysis for
Inference by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 30: World Historic Review for Inference by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 31: World 12-Year Perspective for Inference by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
Table 32: World Recent Past, Current & Future Analysis for
Training by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific, Latin America and Rest of World Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2022 through 2030 and % CAGR
Table 33: World Historic Review for Training by Geographic
Region – USA, Canada, Japan, China, Europe, Asia-Pacific, Latin
America and Rest of World Markets – Independent Analysis of
Annual Revenues in US$ Million for Years 2018 through 2021 and
% CAGR
Table 34: World 12-Year Perspective for Training by Geographic
Region – Percentage Breakdown of Value Revenues for USA,
Canada, Japan, China, Europe, Asia-Pacific, Latin America and
Rest of World for Years 2018, 2023 & 2030
III. MARKET ANALYSIS
UNITED STATES
Artificial Intelligence (AI) Infrastructure Market Presence –
Strong/Active/Niche/Trivial – Key Competitors in the United
States for 2023 (E)
Table 35: USA Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 36: USA Historic Review for Artificial Intelligence (AI)
Infrastructure by Component – Hardware, Software and Services
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 37: USA 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Component – Percentage Breakdown of
Value Revenues for Hardware, Software and Services for the
Years 2018, 2023 & 2030
Table 38: USA Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 39: USA Historic Review for Artificial Intelligence (AI)
Infrastructure by Deployment – On-Premise, Cloud and Hybrid
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 40: USA 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Deployment – Percentage Breakdown of
Value Revenues for On-Premise, Cloud and Hybrid for the Years
2018, 2023 & 2030
Table 41: USA Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 42: USA Historic Review for Artificial Intelligence (AI)
Infrastructure by Technology – Machine Learning and Deep
Learning Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 43: USA 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Technology – Percentage Breakdown of
Value Revenues for Machine Learning and Deep Learning for the
Years 2018, 2023 & 2030
Table 44: USA Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Function –
Inference and Training – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 45: USA Historic Review for Artificial Intelligence (AI)
Infrastructure by Function – Inference and Training Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2018 through 2021 and % CAGR
Table 46: USA 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Function – Percentage Breakdown of Value
Revenues for Inference and Training for the Years 2018, 2023 &
2030
CANADA
Artificial Intelligence (AI) Infrastructure Market Presence –
Strong/Active/Niche/Trivial – Key Competitors in Canada for
2023 (E)
Table 47: Canada Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 48: Canada Historic Review for Artificial Intelligence
(AI) Infrastructure by Component – Hardware, Software and
Services Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 49: Canada 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Component – Percentage
Breakdown of Value Revenues for Hardware, Software and Services
for the Years 2018, 2023 & 2030
Table 50: Canada Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 51: Canada Historic Review for Artificial Intelligence
(AI) Infrastructure by Deployment – On-Premise, Cloud and
Hybrid Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 52: Canada 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Deployment – Percentage
Breakdown of Value Revenues for On-Premise, Cloud and Hybrid
for the Years 2018, 2023 & 2030
Table 53: Canada Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 54: Canada Historic Review for Artificial Intelligence
(AI) Infrastructure by Technology – Machine Learning and Deep
Learning Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 55: Canada 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Technology – Percentage
Breakdown of Value Revenues for Machine Learning and Deep
Learning for the Years 2018, 2023 & 2030
Table 56: Canada Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Function –
Inference and Training – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 57: Canada Historic Review for Artificial Intelligence
(AI) Infrastructure by Function – Inference and Training
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 58: Canada 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Function – Percentage
Breakdown of Value Revenues for Inference and Training for the
Years 2018, 2023 & 2030
JAPAN
Table 59: Japan Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 60: Japan Historic Review for Artificial Intelligence
(AI) Infrastructure by Component – Hardware, Software and
Services Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 61: Japan 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Component – Percentage Breakdown of
Value Revenues for Hardware, Software and Services for the
Years 2018, 2023 & 2030
Table 62: Japan Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 63: Japan Historic Review for Artificial Intelligence
(AI) Infrastructure by Deployment – On-Premise, Cloud and
Hybrid Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 64: Japan 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Deployment – Percentage Breakdown of
Value Revenues for On-Premise, Cloud and Hybrid for the Years
2018, 2023 & 2030
Table 65: Japan Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 66: Japan Historic Review for Artificial Intelligence
(AI) Infrastructure by Technology – Machine Learning and Deep
Learning Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 67: Japan 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Technology – Percentage Breakdown of
Value Revenues for Machine Learning and Deep Learning for the
Years 2018, 2023 & 2030
Table 68: Japan Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Function –
Inference and Training – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 69: Japan Historic Review for Artificial Intelligence
(AI) Infrastructure by Function – Inference and Training
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 70: Japan 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Function – Percentage Breakdown of Value
Revenues for Inference and Training for the Years 2018, 2023 &
2030
CHINA
Artificial Intelligence (AI) Infrastructure Market Presence –
Strong/Active/Niche/Trivial – Key Competitors in China for
2023 (E)
Table 71: China Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 72: China Historic Review for Artificial Intelligence
(AI) Infrastructure by Component – Hardware, Software and
Services Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 73: China 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Component – Percentage Breakdown of
Value Revenues for Hardware, Software and Services for the
Years 2018, 2023 & 2030
Table 74: China Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 75: China Historic Review for Artificial Intelligence
(AI) Infrastructure by Deployment – On-Premise, Cloud and
Hybrid Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 76: China 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Deployment – Percentage Breakdown of
Value Revenues for On-Premise, Cloud and Hybrid for the Years
2018, 2023 & 2030
Table 77: China Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 78: China Historic Review for Artificial Intelligence
(AI) Infrastructure by Technology – Machine Learning and Deep
Learning Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 79: China 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Technology – Percentage Breakdown of
Value Revenues for Machine Learning and Deep Learning for the
Years 2018, 2023 & 2030
Table 80: China Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Function –
Inference and Training – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 81: China Historic Review for Artificial Intelligence
(AI) Infrastructure by Function – Inference and Training
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 82: China 12-Year Perspective for Artificial Intelligence
(AI) Infrastructure by Function – Percentage Breakdown of Value
Revenues for Inference and Training for the Years 2018, 2023 &
2030
EUROPE
Artificial Intelligence (AI) Infrastructure Market Presence –
Strong/Active/Niche/Trivial – Key Competitors in Europe for
2023 (E)
Table 83: Europe Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Geographic
Region – France, Germany, Italy, UK, Spain, Russia and Rest of
Europe Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2022 through 2030 and % CAGR
Table 84: Europe Historic Review for Artificial Intelligence
(AI) Infrastructure by Geographic Region – France, Germany,
Italy, UK, Spain, Russia and Rest of Europe Markets –
Independent Analysis of Annual Revenues in US$ Million for
Years 2018 through 2021 and % CAGR
Table 85: Europe 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Geographic Region –
Percentage Breakdown of Value Revenues for France, Germany,
Italy, UK, Spain, Russia and Rest of Europe Markets for Years
2018, 2023 & 2030
Table 86: Europe Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 87: Europe Historic Review for Artificial Intelligence
(AI) Infrastructure by Component – Hardware, Software and
Services Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 88: Europe 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Component – Percentage
Breakdown of Value Revenues for Hardware, Software and Services
for the Years 2018, 2023 & 2030
Table 89: Europe Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 90: Europe Historic Review for Artificial Intelligence
(AI) Infrastructure by Deployment – On-Premise, Cloud and
Hybrid Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 91: Europe 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Deployment – Percentage
Breakdown of Value Revenues for On-Premise, Cloud and Hybrid
for the Years 2018, 2023 & 2030
Table 92: Europe Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 93: Europe Historic Review for Artificial Intelligence
(AI) Infrastructure by Technology – Machine Learning and Deep
Learning Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 94: Europe 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Technology – Percentage
Breakdown of Value Revenues for Machine Learning and Deep
Learning for the Years 2018, 2023 & 2030
Table 95: Europe Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Function –
Inference and Training – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 96: Europe Historic Review for Artificial Intelligence
(AI) Infrastructure by Function – Inference and Training
Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 97: Europe 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Function – Percentage
Breakdown of Value Revenues for Inference and Training for the
Years 2018, 2023 & 2030
FRANCE
Table 98: France Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Component –
Hardware, Software and Services – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 99: France Historic Review for Artificial Intelligence
(AI) Infrastructure by Component – Hardware, Software and
Services Markets – Independent Analysis of Annual Revenues in
US$ Million for Years 2018 through 2021 and % CAGR
Table 100: France 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Component – Percentage
Breakdown of Value Revenues for Hardware, Software and Services
for the Years 2018, 2023 & 2030
Table 101: France Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Deployment –
On-Premise, Cloud and Hybrid – Independent Analysis of Annual
Revenues in US$ Million for the Years 2022 through 2030 and %
CAGR
Table 102: France Historic Review for Artificial Intelligence
(AI) Infrastructure by Deployment – On-Premise, Cloud and
Hybrid Markets – Independent Analysis of Annual Revenues in US$
Million for Years 2018 through 2021 and % CAGR
Table 103: France 12-Year Perspective for Artificial
Intelligence (AI) Infrastructure by Deployment – Percentage
Breakdown of Value Revenues for On-Premise, Cloud and Hybrid
for the Years 2018, 2023 & 2030
Table 104: France Recent Past, Current & Future Analysis for
Artificial Intelligence (AI) Infrastructure by Technology –
Machine Learning and Deep Learning – Independent Analysis of
Annual Revenues in US$ Million for the Years 2022 through 2030
and % CAGR
Table 105: France Historic Review for Artificial Intelligence
(AI) Infrastructure by Technology – Machine Learning and Deep
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Artificial Intelligence
Cognitive Security Market Projected to Reach $134.26 billion by 2030 – Exclusive Report by 360iResearch
PUNE, India, April 26, 2024 /PRNewswire/ — The report titled “Cognitive Security Market by Component (Services, Solutions), Security Type (Application, Cloud, Cybersecurity), Application, Deployment Mode, Enterprise Type, Vertical – Global Forecast 2024-2030” is now available on 360iResearch.com’s offering, presents an analysis indicating that the market projected to grow from a size of $19.50 billion in 2023 to reach $134.26 billion by 2030, at a CAGR of 31.73% over the forecast period.
“The Global Rise of Cognitive Solutions Against Cyber Threats”
The field of cognitive security, leveraging the latest in artificial intelligence (AI), machine learning (ML), and data analytics, is reshaping the way physical and digital assets are protected from cyber threats. This innovative approach learns from user interactions with systems and data, enabling real-time threat detection and a more dynamic defense strategy. Across industries, including finance, healthcare, retail, and government, cognitive security applications, such as fraud detection and cyber defense, are becoming vital in navigating the complex threat landscape. Challenges in integrating with older systems and opportunities include advancements in AI and technology. Globally, the cognitive security market is witnessing rapid growth, driven by high American demand and significant investments in the Asia-Pacific region. In Europe, stringent regulations such as GDPR drive the demand for compliant solutions, while in the Middle East and Africa, the expanding telecom sector highlights the need for robust cybersecurity measures. This global momentum highlights the critical role of cognitive security in an interconnected world, ensuring businesses and governments can overcome cyber threats.
Download Sample Report @ https://www.360iresearch.com/library/intelligence/cognitive-security
“The Essential Role of Cognitive Security in Today’s Digital Age”
As digital transformation reshapes industries, the surge in data generation and intricate data management challenges have outpaced traditional cyber defense mechanisms. Cognitive security adept at processing and analyzing vast arrays of data in real-time, uncovering patterns and anomalies indicative of cybersecurity threats. This advanced approach enables proactive threat detection and swift response measures, significantly mitigating the risks of data breaches and cyber incidents. Cognitive security solutions adeptly handle diverse data types at unparalleled speeds, offering insights typically elusive to manual analysis by harnessing the power of automation. These systems excel at unveiling sophisticated attacks, skillfully hidden within normal network activities, and continuously evolve through machine learning. This perceptual adaptation is vital in a landscape where cyber threats rapidly transform, and digitalization ushers in new vulnerabilities. Cognitive security is a staunch supporter for organizations, ensuring their security policies remain in lockstep with the ever-evolving cyber threat environment and regulatory demands, thus fortifying digital defenses in an increasingly connected world.
“Enhancing Digital Security through Advanced Cognitive Technologies”
In an era where cyber threats are constantly evolving, the importance of robust digital security mechanisms cannot be overstated. The approach encompasses a suite of essential services that ensure the effective operation and continuous improvement of cognitive security systems. These include the meticulous deployment and integration of these systems into existing organizational structures, ensuring they work seamlessly with current technologies and protocols. Ongoing support and maintenance to keep these systems at the forefront of cyber defense, alongside training and consulting to empower staff with the knowledge and skills needed to optimize these advanced security solutions. Cutting-edge technologies include biometric recognition, digital signature authentication, real-time security analytics, and a unified platform managing security logs and data. Each component is vital role in creating a secure digital environment that identifies threats and enables swift, informed responses to protect organizational assets and data.
Request Analyst Support @ https://www.360iresearch.com/library/intelligence/cognitive-security
“International Business Machines Corporation at the Forefront of Cognitive Security Market with a Strong 8.44% Market Share”
The key players in the Cognitive Security Market include Google LLC by Alphabet Inc., Microsoft Corporation, Fortinet, Inc., International Business Machines Corporation, Cisco Systems, Inc., and others. These prominent players focus on strategies such as expansions, acquisitions, joint ventures, and developing new products to strengthen their market positions.
“Introducing ThinkMi: Revolutionizing Market Intelligence with AI-Powered Insights for the Cognitive Security Market”
We proudly unveil ThinkMi, a cutting-edge AI product designed to transform how businesses interact with the Cognitive Security Market. ThinkMi stands out as your premier market intelligence partner, delivering unparalleled insights with the power of artificial intelligence. Whether deciphering market trends or offering actionable intelligence, ThinkMi is engineered to provide precise, relevant answers to your most critical business questions. This revolutionary tool is more than just an information source; it’s a strategic asset that empowers your decision-making with up-to-the-minute data, ensuring you stay ahead in the fiercely competitive Cognitive Security Market. Embrace the future of market analysis with ThinkMi, where informed decisions lead to remarkable growth.
Ask Question to ThinkMi @ https://app.360iresearch.com/library/intelligence/cognitive-security
“Dive into the Cognitive Security Market Landscape: Explore 192 Pages of Insights, 760 Tables, and 28 Figures”
PrefaceResearch MethodologyExecutive SummaryMarket OverviewMarket InsightsCognitive Security Market, by ComponentCognitive Security Market, by Security TypeCognitive Security Market, by ApplicationCognitive Security Market, by Deployment ModeCognitive Security Market, by Enterprise TypeCognitive Security Market, by VerticalAmericas Cognitive Security MarketAsia-Pacific Cognitive Security MarketEurope, Middle East & Africa Cognitive Security MarketCompetitive LandscapeCompetitive PortfolioInquire Before Buying @ https://www.360iresearch.com/library/intelligence/cognitive-security
Related Reports:
Cognitive Radio Market – Global Forecast 2024-2030Cognitive Electronic Warfare System Market – Global Forecast 2024-2030Cognitive Data Management Market – Global Forecast 2024-2030About 360iResearch
Founded in 2017, 360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.
We are a dynamic, nimble company that believes in carving ambitious, purposeful goals and achieving them with the backing of our greatest asset — our people.
Quick on our feet, we have our ear to the ground when it comes to market intelligence and volatility. Our market intelligence is diligent, real-time and tailored to your needs, and arms you with all the insight that empowers strategic decision-making.
Our clientele encompasses about 80% of the Fortune Global 500, and leading consulting and research companies and academic institutions that rely on our expertise in compiling data in niche markets. Our meta-insights are intelligent, impactful and infinite, and translate into actionable data that support your quest for enhanced profitability, tapping into niche markets, and exploring new revenue opportunities.
Contact 360iResearchMr. Ketan Rohom360iResearch Private Limited,Office No. 519, Nyati Empress,Opposite Phoenix Market City,Vimannagar, Pune, Maharashtra,India – 411014.Email: [email protected]: +1-530-264-8485India: +91-922-607-7550
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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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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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