Artificial Intelligence
Global Autonomous Ships Market to Reach US$10.1 Billion by the Year 2026
New York, May 10, 2022 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Global Autonomous Ships Industry” – https://www.reportlinker.com/p06030854/?utm_source=GNW
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– Global Autonomous Ships Market to Reach US$10.1 Billion by the Year 2026
– Autonomous ships have the capability to function independently (at various levels) without constant human intervention. In other words, autonomous ships are vessels without a crew, wherein the various functions are automatically performed with low human interaction. The different operations of these ships are either remotely managed by the people on the shore or the ships will have various advanced technologies for performing the operations. Autonomous ships generally include technologies such as sonar, HD cameras, infrared cameras, thermal imaging, automated navigation, GPS trackers, auxiliary and propulsion systems, LIDAR, and RADAR. Growth of the autonomous ships market is expected to be driven by the surge in sea-based trade globally due to its cost effectiveness in comparison to other transport modes, in addition to the shortage of trained and experienced sailors. Globally, cargo to the tune of nearly 1.7 billion tons per annum gets transported in about 180 million containers. Also, the growing number of marine accidents due to human mistakes which lead to considerable financial losses and damage to the environment are fostering interest in autonomous ships. The growth in marine tourism and increasing interest in smart connected ships and vessels with situational awareness are also auguring well for the market.
– Also, growing research initiatives and collaborations among companies belonging to various industries in many countries for making the naval structure autonomous are expected to aid market growth. The rising use of connected smart ships, given their various advantages such as fleet health monitoring data and vessel traffic management data are also benefitting the market. Furthermore, the rising investments being made for the R&D and construction of autonomous ships are also fueling market growth. The use of IoT and other such latest technologies in these ships is also being considered to lower the environmental impact of maritime traffic and make autonomous marine projects more efficient. Amid the COVID-19 crisis, the global market for Autonomous Ships estimated at US$7 Billion in the year 2022, is projected to reach a revised size of US$10.1 Billion by 2026, growing at a CAGR of 8.9% over the analysis period. Commercial, one of the segments analyzed in the report, is projected to grow at a 9.4% CAGR to reach US$7.1 Billion by the end of the analysis period. After a thorough analysis of the business implications of the pandemic and its induced economic crisis, growth in the Defense segment is readjusted to a revised 7.9% CAGR for the next 7-year period. This segment currently accounts for a 37.5% share of the global Autonomous Ships market. The U.S. Market is Estimated at $1.4 Billion in 2022, While China is Forecast to Reach $1.6 Billion by 2026
– The Autonomous Ships market in the U.S. is estimated at US$1.4 Billion in the year 2022. The country currently accounts for a 20.09% share in the global market. China, the world`s second largest economy, is forecast to reach an estimated market size of US$1.6 Billion in the year 2026 trailing a CAGR of 10.3% through the analysis period. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at 6.8% and 8.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.4% CAGR while Rest of European market (as defined in the study) will reach US$842.2 Million by the end of the analysis period. Europe is a key market for autonomous ships, given its considerable investments in the development of these ships and the huge fleet size. The growing interest in cruiser power boats and yachts in the region is auguring well for the autonomous ships demand. Further, the growing governmental and organizational investments and efforts in developing these ships are boosting market growth. Also, enterprises are rendering support to government initiatives to make naval vessels autonomous in nature. North America (including USA and Canada) is another important autonomous ships market, given the significant fleet size and the growing seaborne trade. The market in the region is also benefitting from the increasing recreational activities and tourism. Asia-Pacific autonomous ships market is anticipated to witness healthy growth, supported by growing maritime trade and rising focus on developing sea tourism in the region. Select Competitors (Total 44 Featured) ABBGeneral Electric (Ge)Honeywell InternationalHyundai Heavy Industries (Hhi)Kongsberg GruppenMarine Technologies LLCMarlinkPraxis Automation & Technology B.V.Rh MarineRolls-Royce
Read the full report: https://www.reportlinker.com/p06030854/?utm_source=GNW
I. METHODOLOGY
II. EXECUTIVE SUMMARY
1. MARKET OVERVIEW
The Race Between the Virus & Vaccines Intensifies. Amidst this
Chaotic Battle, Where is the World Economy Headed?
Progress on Vaccinations: Why Should Businesses Care?
With IMF?s Upward Revision of Global GDP Forecasts, Most
Companies are Bullish about an Economic Comeback Despite a
Continuing Pandemic
EXHIBIT 1: A Strong Yet Exceedingly Patchy & Uncertain Recovery
Shaped by New Variants Comes Into Play: World Economic Growth
Projections (Real GDP, Annual % Change) for 2020 through 2023
Global Autonomous Ships Market under the COVID-19 Lens
Competitive Scenario
EXHIBIT 2: Autonomous Ships – Global Key Competitors Percentage
Market Share in 2022 (E)
Competitive Market Presence – Strong/Active/Niche/Trivial for
44 Players Worldwide in 2022 (E)
Increasing Sea-Based Trade and Tourism Drives Growth of the
Global Autonomous Ships Market: Global Market Prospects &
Outlook
EXHIBIT 3: Global Autonomous Ships Market by Ship Type (2021 &
2027): Percentage Breakdown of Sales for Commercial and
Defense
Analysis by Autonomy
EXHIBIT 4: Global Autonomous Ships Market by Autonomy (2021 &
2027): Percentage Breakdown of Sales for Partial Automation,
Fully Autonomous, and Remote Operations
Analysis by End-Use
EXHIBIT 5: Global Autonomous Ships Market by End-Use (2021 &
2027): Percentage Breakdown of Sales for Line Fit, and
Retrofit
Regional Analysis
EXHIBIT 6: World Autonomous Ships Market by Region (2021 &
2027): Percentage Breakdown of Sales for Developed and
Developing Regions
EXHIBIT 7: World Autonomous Ships Market – Geographic Regions
Ranked by CAGR (Value Sales) for 2020-2027: China, Asia-
Pacific, USA, Europe, Canada, Rest of World, and Japan
China Aims at Being Leading Autonomous Shipping Country
An Insight into Autonomous Ships
Autonomous Vessels: A Brief Note
Regulating Autonomous Vessels
Recent Market Activity
2. FOCUS ON SELECT PLAYERS
3. MARKET TRENDS & DRIVERS
Sailing Towards Autonomous Shipping Technology
Requirements for Sustainable Autonomous Technology Implementation
Norway Research Institutes Pioneering Fully Automated Vessels
Autonomous Vessels and the Maritime Industry
Innovators in the Autonomous Vessels Industry
Future of Artificial Intelligence (AI) at Sea
EXHIBIT 8: Industry Adoption of Artificial Intelligence (AI) by
Function: 2020
Autonomous Docking Presenting Solutions to Complex Problems
Severe Impact of Pandemic on Supply Chain Networks Derails
Market Momentum
EXHIBIT 9: Global Losses in Supply Chain as a % of Earnings
Before Interest, Taxes, Depreciation & Amortization (EBITDA)
in the Year 2020
Growing Integration of Technology in Dock Management Systems
Big Data & Cloud Technology Seek to Expand Role in Dock Management
EXHIBIT 10: Global Cloud Technologies Market Reset & Trajectory –
Growth Outlook (In %) For Years 2019 Through 2025
EXHIBIT 11: Global Adoption Rates (in %) of Big Data
Technologies by Industry (2021E)
Autonomous Vessels Helping Coast Guards in Safeguarding the Waters
Steady Growth in Seaborne Trade Volumes Drives Demand for
Autonomous Ships
EXHIBIT 12: World Seaborne Trade: Total Volume of Goods Loaded
in Billion Tons for the Years 2010 through 2020
EXHIBIT 13: Seaborne Trade Outlook: Projected Seaborne Trade
Volume in Billion Tons for the Years 2020, 2025, 2030 and 2035
Rise in Number of Container Ships and Gas Carrier Marine
Freight Worldwide: An Opportunity for the Market
Shipbuilding Activity Trends Influence Dynamics of Autonomous
Ships Market
Rising Commercial Maritime Activity: Opportunity Indicator for
Autonomous Ships
EXHIBIT 14: World Seaborne Trade (in Billions of Cargo Ton
Miles) for the Years 2015, 2017 and 2019
Naval Autonomous Ships: Geopolitical Conflicts & Quest for
Military Supremacy Widen the Business Case
EXHIBIT 15: Healthy Defense Spending to Amplify the Need for
Autonomous Naval Ships: Projected Defense Budget (In US$
Billion) for the Years 2019, 2021 and 2023
Pandemic Affects the Military & Defense Sector
EXHIBIT 16: Global Defense & Related Technologies Market Reset &
Trajectory – Growth Outlook (In %) For Years 2019 Through
2025
EXHIBIT 17: Military Expenditure as a % of GDP in Select Countries
How Tourism & Leisure Industry Is Impacted by the Pandemic &
What?s the New Normal?
EXHIBIT 18: Global Tourism Market Reset & Trajectory – Growth
Outlook (In %) For Years 2019 Through 2025
EXHIBIT 19: World Cruise Passengers (in Millions) for the Years
2010, 2015, 2019, 2020 and 2021E
Leisure Marine Industry amid COVID-19 Pandemic
EXHIBIT 20: Percentage of People Going to Boating Regularly in
the US by Age Group: 2019
Challenges Associated with Autonomous Shipping
Autonomous Ships Pose Survival Challenge to the Shipping Sector
Impact of Autonomous Vessels on Employment
Flags of Convenience
4. GLOBAL MARKET PERSPECTIVE
Table 1: World Recent Past, Current & Future Analysis for
Autonomous Ships by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2020 through 2027 and % CAGR
Table 2: World 7-Year Perspective for Autonomous Ships by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World Markets for Years 2021 & 2027
Table 3: World Recent Past, Current & Future Analysis for
Commercial by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR
Table 4: World 7-Year Perspective for Commercial by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027
Table 5: World Recent Past, Current & Future Analysis for
Defense by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR
Table 6: World 7-Year Perspective for Defense by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027
Table 7: World Recent Past, Current & Future Analysis for
Partial Automation by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2020 through 2027 and % CAGR
Table 8: World 7-Year Perspective for Partial Automation by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 9: World Recent Past, Current & Future Analysis for Fully
Autonomous by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR
Table 10: World 7-Year Perspective for Fully Autonomous by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 11: World Recent Past, Current & Future Analysis for
Remote Operations by Geographic Region – USA, Canada, Japan,
China, Europe, Asia-Pacific and Rest of World Markets –
Independent Analysis of Annual Sales in US$ Million for Years
2020 through 2027 and % CAGR
Table 12: World 7-Year Perspective for Remote Operations by
Geographic Region – Percentage Breakdown of Value Sales for
USA, Canada, Japan, China, Europe, Asia-Pacific and Rest of
World for Years 2021 & 2027
Table 13: World Recent Past, Current & Future Analysis for Line
Fit by Geographic Region – USA, Canada, Japan, China, Europe,
Asia-Pacific and Rest of World Markets – Independent Analysis
of Annual Sales in US$ Million for Years 2020 through 2027 and
% CAGR
Table 14: World 7-Year Perspective for Line Fit by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027
Table 15: World Recent Past, Current & Future Analysis for
Retrofit by Geographic Region – USA, Canada, Japan, China,
Europe, Asia-Pacific and Rest of World Markets – Independent
Analysis of Annual Sales in US$ Million for Years 2020 through
2027 and % CAGR
Table 16: World 7-Year Perspective for Retrofit by Geographic
Region – Percentage Breakdown of Value Sales for USA, Canada,
Japan, China, Europe, Asia-Pacific and Rest of World for Years
2021 & 2027
III. MARKET ANALYSIS
UNITED STATES
Autonomous Ships Market Presence – Strong/Active/Niche/Trivial –
Key Competitors in the United States for 2022 (E)
Market Analytics
Table 17: USA Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 18: USA 7-Year Perspective for Autonomous Ships by Ship
Type – Percentage Breakdown of Value Sales for Commercial and
Defense for the Years 2021 & 2027
Table 19: USA Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 20: USA 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 21: USA Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 22: USA 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
CANADA
Table 23: Canada Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 24: Canada 7-Year Perspective for Autonomous Ships by
Ship Type – Percentage Breakdown of Value Sales for Commercial
and Defense for the Years 2021 & 2027
Table 25: Canada Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 26: Canada 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 27: Canada Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 28: Canada 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
JAPAN
Table 29: Japan Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 30: Japan 7-Year Perspective for Autonomous Ships by Ship
Type – Percentage Breakdown of Value Sales for Commercial and
Defense for the Years 2021 & 2027
Table 31: Japan Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 32: Japan 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 33: Japan Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 34: Japan 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
CHINA
Table 35: China Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 36: China 7-Year Perspective for Autonomous Ships by Ship
Type – Percentage Breakdown of Value Sales for Commercial and
Defense for the Years 2021 & 2027
Table 37: China Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 38: China 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 39: China Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 40: China 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
EUROPE
Autonomous Ships Market Presence – Strong/Active/Niche/Trivial –
Key Competitors in Europe for 2022 (E)
Market Analytics
Table 41: Europe Recent Past, Current & Future Analysis for
Autonomous Ships by Geographic Region – France, Germany, Italy,
UK and Rest of Europe Markets – Independent Analysis of Annual
Sales in US$ Million for Years 2020 through 2027 and % CAGR
Table 42: Europe 7-Year Perspective for Autonomous Ships by
Geographic Region – Percentage Breakdown of Value Sales for
France, Germany, Italy, UK and Rest of Europe Markets for Years
2021 & 2027
Table 43: Europe Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 44: Europe 7-Year Perspective for Autonomous Ships by
Ship Type – Percentage Breakdown of Value Sales for Commercial
and Defense for the Years 2021 & 2027
Table 45: Europe Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 46: Europe 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 47: Europe Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 48: Europe 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
FRANCE
Table 49: France Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 50: France 7-Year Perspective for Autonomous Ships by
Ship Type – Percentage Breakdown of Value Sales for Commercial
and Defense for the Years 2021 & 2027
Table 51: France Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 52: France 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 53: France Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 54: France 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
GERMANY
Table 55: Germany Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 56: Germany 7-Year Perspective for Autonomous Ships by
Ship Type – Percentage Breakdown of Value Sales for Commercial
and Defense for the Years 2021 & 2027
Table 57: Germany Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 58: Germany 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 59: Germany Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 60: Germany 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
ITALY
Table 61: Italy Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 62: Italy 7-Year Perspective for Autonomous Ships by Ship
Type – Percentage Breakdown of Value Sales for Commercial and
Defense for the Years 2021 & 2027
Table 63: Italy Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 64: Italy 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 65: Italy Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 66: Italy 7-Year Perspective for Autonomous Ships by
End-Use – Percentage Breakdown of Value Sales for Line Fit and
Retrofit for the Years 2021 & 2027
UNITED KINGDOM
Table 67: UK Recent Past, Current & Future Analysis for
Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 68: UK 7-Year Perspective for Autonomous Ships by Ship
Type – Percentage Breakdown of Value Sales for Commercial and
Defense for the Years 2021 & 2027
Table 69: UK Recent Past, Current & Future Analysis for
Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 70: UK 7-Year Perspective for Autonomous Ships by
Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 71: UK Recent Past, Current & Future Analysis for
Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 72: UK 7-Year Perspective for Autonomous Ships by End-Use –
Percentage Breakdown of Value Sales for Line Fit and Retrofit
for the Years 2021 & 2027
REST OF EUROPE
Table 73: Rest of Europe Recent Past, Current & Future Analysis
for Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 74: Rest of Europe 7-Year Perspective for Autonomous
Ships by Ship Type – Percentage Breakdown of Value Sales for
Commercial and Defense for the Years 2021 & 2027
Table 75: Rest of Europe Recent Past, Current & Future Analysis
for Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 76: Rest of Europe 7-Year Perspective for Autonomous
Ships by Autonomy – Percentage Breakdown of Value Sales for
Partial Automation, Fully Autonomous and Remote Operations for
the Years 2021 & 2027
Table 77: Rest of Europe Recent Past, Current & Future Analysis
for Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 78: Rest of Europe 7-Year Perspective for Autonomous
Ships by End-Use – Percentage Breakdown of Value Sales for Line
Fit and Retrofit for the Years 2021 & 2027
ASIA-PACIFIC
Autonomous Ships Market Presence – Strong/Active/Niche/Trivial –
Key Competitors in Asia-Pacific for 2022 (E)
Market Analytics
Table 79: Asia-Pacific Recent Past, Current & Future Analysis
for Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 80: Asia-Pacific 7-Year Perspective for Autonomous Ships
by Ship Type – Percentage Breakdown of Value Sales for
Commercial and Defense for the Years 2021 & 2027
Table 81: Asia-Pacific Recent Past, Current & Future Analysis
for Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 82: Asia-Pacific 7-Year Perspective for Autonomous Ships
by Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 83: Asia-Pacific Recent Past, Current & Future Analysis
for Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 84: Asia-Pacific 7-Year Perspective for Autonomous Ships
by End-Use – Percentage Breakdown of Value Sales for Line Fit
and Retrofit for the Years 2021 & 2027
REST OF WORLD
Table 85: Rest of World Recent Past, Current & Future Analysis
for Autonomous Ships by Ship Type – Commercial and Defense –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 86: Rest of World 7-Year Perspective for Autonomous Ships
by Ship Type – Percentage Breakdown of Value Sales for
Commercial and Defense for the Years 2021 & 2027
Table 87: Rest of World Recent Past, Current & Future Analysis
for Autonomous Ships by Autonomy – Partial Automation, Fully
Autonomous and Remote Operations – Independent Analysis of
Annual Sales in US$ Million for the Years 2020 through 2027 and
% CAGR
Table 88: Rest of World 7-Year Perspective for Autonomous Ships
by Autonomy – Percentage Breakdown of Value Sales for Partial
Automation, Fully Autonomous and Remote Operations for the
Years 2021 & 2027
Table 89: Rest of World Recent Past, Current & Future Analysis
for Autonomous Ships by End-Use – Line Fit and Retrofit –
Independent Analysis of Annual Sales in US$ Million for the
Years 2020 through 2027 and % CAGR
Table 90: Rest of World 7-Year Perspective for Autonomous Ships
by End-Use – Percentage Breakdown of Value Sales for Line Fit
and Retrofit for the Years 2021 & 2027
IV. COMPETITION
Total Companies Profiled: 44
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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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Artificial Intelligence
$10 million Artificial Intelligence Mathematical Olympiad Prize appoints further advisory committee members
D. Sculley, Kevin Buzzard, Leo de Moura, Lester Mackey and Peter J. Liu appointed to the advisory committee for the Artificial Intelligence Mathematical Olympiad Prize.
LONDON, April 26, 2024 /PRNewswire/ — XTX Markets’ newly created Artificial Intelligence Mathematical Olympiad Prize (‘AIMO Prize’) is a $10mn challenge fund designed to spur the creation of a publicly shared AI model capable of winning a gold medal in the International Mathematical Olympiad (IMO).
XTX Markets is delighted to announce the appointment of five further advisory committee members. This group brings great expertise in machine learning, including D. Sculley, the CEO of Kaggle; Lester Mackey, a Principal Researcher at Microsoft Research and a Macarthur Fellow; and Peter J. Liu, a research scientist at Google DeepMind.
Prolific mathematicians Kevin Buzzard, who achieved a perfect score in the International Mathematical Olympiad, and Leo De Moura who is the Chief Architect for Lean, the automated reasoning tool, also join the advisory group.
They join the existing advisory committee members Terence Tao and Timothy Gowers, both winners of the Fields Medal, as well as Dan Roberts, Geoff Smith and Po-Shen Loh.
The AIMO Advisory Committee will support the development of the AIMO Prize, including advising on appropriate protocols and technical aspects, and designing the various competitions and prizes.
Simon Coyle, Head of Philanthropy at XTX Markets, commented:
“We are thrilled to complete the AIMO Advisory Committee with the appointments of D., Kevin, Leo, Lester and Peter. Together, they have enormous experience in machine learning and automated reasoning and are already bringing expertise and wisdom to the AIMO Prize. We look forward to announcing the winners of the AIMO’s first Progress Prize soon, and then publicly sharing the AI models to support the open and collaborative development of AI.”
Further information on the AIMO Prize
There will be a grand prize of $5mn for the first publicly shared AI model to enter an AIMO approved competition and perform at a standard equivalent to a gold medal in the IMO. There will also be a series of progress prizes, totalling up to $5mn, for publicly shared AI models that achieve key milestones towards the grand prize.
The first AIMO approved competition opened to participants in April 2024 on the Kaggle competition platform. The first progress prize focuses on problems pitched at junior and high-school level maths competitions. There is a total prize pot of $1.048m for the first progress prize, of which at least $254k will be awarded in July 2024, There will be a presentation of progress held in Bath, England in July 2024, as part of the 65th IMO.
For more information on the AIMO Prize visit: https://aimoprize.com/ or the competition page on Kaggle: https://www.kaggle.com/competitions/ai-mathematical-olympiad-prize/
Advisory Committee member profiles:
D. Sculley
D. is the CEO at Kaggle. Prior to joining Kaggle, he was a director at Google Brain, leading research teams working on robust, responsible, reliable and efficient ML and AI. In his career in ML, he has worked on nearly every aspect of machine learning, and has led both product and research teams including those on some of the most challenging business problems. Some of his well-known work involves ML technical debt, ML education, ML robustness, production-critical ML, and ML for scientific applications such as protein design.
Kevin Buzzard
Kevin a professor of pure mathematics at Imperial College London, specialising in algebraic number theory. As well as his research and teaching, he has a wide range of interests, including being Deputy Head of Pure Mathematics, Co-Director of a CDT and the department’s outreach champion. He is currently focusing on formal proof verification, including being an active participant in the Lean community. From October 2024, he will be leading a project to formalise a 21st century proof of Fermat’s Last Theorem. Before joining Imperial, some 20 years ago, he was a Junior Research Fellow at the University of Cambridge, where he had previously been named ‘Senior Wrangler’ (the highest scoring undergraduate mathematician). He was also a participant in the International Mathematical Olympiad, winning gold with a perfect score in 1987. He has been a visitor at the IAS in Princeton, a visiting lecturer at Harvard, has won several prizes both for research and teaching, and has given lectures all over the world.
Leo de Moura
Leo is a Senior Principal Applied Scientist in the Automated Reasoning Group at AWS. In his spare time, he dedicates himself to serving as the Chief Architect of the Lean FRO, a non-profit organization that he proudly co-founded alongside Sebastian Ullrich. He is also honoured to hold a position on the Board of Directors at the Lean FRO, where he actively contributes to its growth and development. Before joining AWS in 2023, he was a Senior Principal Researcher in the RiSE group at Microsoft Research, where he worked for 17 years starting in 2006. Prior to that, he worked as a Computer Scientist at SRI International. His research areas are automated reasoning, theorem proving, decision procedures, SAT and SMT. He is the main architect of several automated reasoning tools: Lean, Z3, Yices 1.0 and SAL. Leo’s work in automated reasoning has been acknowledged with a series of prestigious awards, including the CAV, Haifa, and Herbrand awards, as well as the Programming Languages Software Award by the ACM. Leo’s work has also been reported in the New York Times and many popular science magazines such as Wired, Quanta, and Nature News.
Lester Mackey
Lester Mackey is a Principal Researcher at Microsoft Research, where he develops machine learning methods, models, and theory for large-scale learning tasks driven by applications from climate forecasting, healthcare, and the social good. Lester moved to Microsoft from Stanford University, where he was an assistant professor of Statistics and, by courtesy, of Computer Science. He earned his PhD in Computer Science and MA in Statistics from UC Berkeley and his BSE in Computer Science from Princeton University. He co-organized the second place team in the Netflix Prize competition for collaborative filtering; won the Prize4Life ALS disease progression prediction challenge; won prizes for temperature and precipitation forecasting in the yearlong real-time Subseasonal Climate Forecast Rodeo; and received best paper, outstanding paper, and best student paper awards from the ACM Conference on Programming Language Design and Implementation, the Conference on Neural Information Processing Systems, and the International Conference on Machine Learning. He is a 2023 MacArthur Fellow, a Fellow of the Institute of Mathematical Statistics, an elected member of the COPSS Leadership Academy, and the recipient of the 2023 Ethel Newbold Prize.
Peter J. Liu
Peter J. Liu is a Research Scientist at Google DeepMind in the San Francisco Bay area, doing machine learning research with a specialisation in language models since 2015 starting in the Google Brain team. He has published and served as area chair in top machine learning and NLP conferences such as ICLR, ICML, NEURIPS, ACL and EMNLP. He also has extensive production experience, including launching the first deep learning model for Gmail Anti-Spam, and using neural network models to detect financial fraud for top banks. He has degrees in Mathematics and Computer Science from the University of Toronto.
About XTX Markets:
XTX Markets is a leading financial technology firm which partners with counterparties, exchanges and e-trading venues globally to provide liquidity in the Equity, FX, Fixed Income and Commodity markets. XTX has over 200 employees based in London, Paris, New York, Mumbai, Yerevan and Singapore. XTX is consistently a top 5 liquidity provider globally in FX (Euromoney 2018-present) and is also the largest European equities (systematic internaliser) liquidity provider (Rosenblatt FY: 2020-2023).
The company’s corporate philanthropy focuses on STEM education and maximum impact giving (alongside an employee matching programme). Since 2017, XTX has donated over £100mn to charities and good causes, establishing it as a major donor in the UK and globally.
In a changing world XTX Markets is at the forefront of making financial markets fairer and more efficient for all.
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