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Marine Engines Market worth $15.2 billion by 2029- Exclusive Report by MarketsandMarkets™

Published

1 month ago

April 3, 2024

marine-engines-market-worth-$15.2-billion-by-2029-exclusive-report-by-marketsandmarkets™

Marine Engines Market is expected to reach USD 15.2 billion by 2029 from USD 13.1 billion in 2024 at a CAGR of 3.0% during the forecast period according to a new report by MarketsandMarkets. The Marine Engines Market is propelled by a confluence of factors that influence demand for these powerful workhorses of the maritime industry. The ever-expanding global trade heavily relies on maritime transportation for efficient movement of goods across continents. This translates to a constant need for new vessels and consequently, a growing demand for marine engines of various capacities. Increasing international trade activities, particularly in emerging economies, necessitate the expansion of existing fleets and construction of new ships, further driving the demand for marine engines. Growing environmental concerns and stricter regulations on air and water pollution from maritime vessels are pushing the industry towards cleaner technologies. This creates a demand for new, more fuel-efficient engines that comply with emission regulations, such as those governing sulfur oxide (SOx) and nitrogen oxide (NOx) emissions. The focus on sustainability is leading to increased adoption of alternative fuels like Liquefied Natural Gas (LNG) and biofuels. This, in turn, fuels the development and demand for engines capable of operating on these cleaner fuel sources. Continuous advancements in marine engine technology are leading to the development of more efficient and powerful engines. This translates to reduced fuel consumption, lower operating costs for ship owners, and a smaller environmental footprint. As the maritime industry strives for efficiency and sustainability, marine engine manufacturers will continue to innovate and develop new technologies to meet the evolving needs of this crucial sector.
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Marine Engines Market Scope:

Report Coverage

Details

Market Revenue in 2024

$13.1 billion

Estimated Value by 2029

$15.2 billion

Growth Rate

Poised to Grow at a CAGR of 3.0%

Largest Market

Asia Pacific

Market Size Available for

2020-2029

Forecast Period

2024-2029

Forecast Units

Value (USD)

Report Coverage

Revenue Forecast, Competitive Landscape, Growth Factors, and Trends

Segments Covered

By Engine, By Type, By Power Range, By Fuel, By Vessel

Geographies Covered

Asia Pacific, North America, Europe, Middle East and Africa, and South America

Key Market Opportunities

Rising demand for duel fuel and hybrid engines

Key Market Drivers

Growth in international marine freight transport

Four stroke segment, by Type, to hold the second-largest market in Marine Engines Market.
Four-stroke engines hold the second-largest market share in the Marine Engines Market due to a compelling combination of advantages that cater to a wide range of vessel needs. Compared to traditional two-stroke engines, four-stroke engines offer superior fuel efficiency. This translates to significant cost savings for ship operators, especially for vessels undertaking long journeys or those with frequent stops and maneuvers. In today’s economic climate, fuel efficiency is a top priority, making four-stroke engines an attractive option. Four-stroke engines generate fewer pollutants like nitrogen oxides (NOx) and sulfur oxides (SOx) compared to their two-stroke counterparts. This characteristic aligns perfectly with the growing focus on environmental sustainability and stricter emission regulations in the maritime industry. Four-stroke engines help ship owners comply with regulations in Emission Control Areas (ECAs) and contribute to cleaner air and water. Manufacturers are constantly innovating four-stroke engine technology. Advancements like common rail injection systems, electronic engine management, and dual-fuel capabilities (LNG or biofuels) are improving efficiency, reducing emissions, and offering more flexibility in fuel options. This positions four-stroke engines as a future-proof solution for the evolving needs of the maritime industry.
Marine gas oil segment, by Fuel, to be the fourth-largest market segment.
Marine Gas Oil (MGO) holds the fourth-largest market share in the marine engine fuel segment for several compelling reasons. MGO offers a good balance between power density and affordability, making it suitable for a wide range of vessel types. Smaller cargo ships and short-sea traders operating on regional routes or within coastal areas benefit from the efficient and readily available MGO compared to heavier fuel oils (HFO) that require more complex handling. MGO provides reliable and clean burning fuel for various fishing vessels and offshore service ships, catering to their operational needs without requiring the immense power output of HFO. MGO’s cleaner burning properties contribute to reduced emissions around populated coastal areas and ports, making it a favourable choice for ferries and smaller passenger vessels where environmental concerns are crucial. MGO’s widespread availability, applicability across various vessel types, role in regulation compliance for specific regions, and cost-effectiveness for certain routes contribute to its position as the fourth-largest market share holder in the marine engine fuel segment. While it might be a transitional fuel source, MGO plays a significant role in the current maritime landscape.
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Middle East & Africa to emerge as the third-largest Marine Engines Industry.
The Middle East & Africa (MEA) region nabs the third-largest market share in the Marine Engines Market, driven by a confluence of factors specific to its geographical and economic landscape. The MEA region sits at a critical crossroads for global maritime trade. The Suez Canal, a vital passage connecting the Red Sea and Mediterranean Sea, facilitates a significant portion of global seaborne trade. This strategic location necessitates a robust maritime infrastructure, including a large fleet of vessels requiring powerful engines. Economic growth within the MEA region has spurred a rise in intra-regional trade. This translates to a growing demand for smaller and medium-sized vessels equipped with efficient engines for navigating shorter routes within the region. The MEA region is a major producer of oil and gas. This flourishing sector necessitates a growing fleet of offshore service vessels, platform supply ships, and crew transfer vessels. These specialized ships rely on reliable and maneuverable engines to support exploration and production activities. Several governments within the MEA region are prioritizing investments in port infrastructure and maritime development. This includes creating new ports, expanding existing facilities, and attracting foreign investment in the maritime sector. This focus on infrastructure development fuels the demand for new vessels and consequently, marine engines. The Middle East & Africa’s position as the third-largest market share holder in the Marine Engines Market stems from its strategic location, flourishing regional trade, government investments, and a mix of modern and aging fleets requiring new or replacement engines. The future of the market will likely witness an interplay between these factors and the adoption of cleaner technologies as the maritime industry strives for sustainability.
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Unveiling the Complex Psychological Implications of Artificial Intelligence

Published

1 day ago

May 2, 2024

Peter Tolan

In today’s world, the realm of artificial intelligence (AI) presents us with fascinating possibilities and unsettling dilemmas. From engaging in nuanced conversations with humanoid robots to grappling with the consequences of deepfake technology, the advancements in AI have far-reaching implications that extend into the realm of human psychology, as noted by Joel Pearson, a cognitive neuroscientist at the University of New South Wales.
While AI holds the promise of simplifying our lives, Pearson emphasizes that these developments can also have profound effects on our mental well-being, challenging our perceptions and emotional responses in ways we may not fully comprehend. Despite our fears of killer robots and rogue self-driving cars, Pearson suggests that the psychological impacts of AI are equally if not more significant, albeit less tangible.
One area of concern highlighted by Pearson is the tendency for humans to anthropomorphize AI entities, attributing human-like qualities to non-human agents such as chatbots. This phenomenon can lead to emotional attachments and vulnerabilities, as evidenced by individuals who develop romantic feelings for AI companions like Replika. Pearson underscores the need for further research into the implications of these human-AI relationships, particularly regarding their impact on interpersonal dynamics and emotional health.
Furthermore, Pearson raises alarm about the proliferation of deepfake technology, which has the potential to distort our perception of reality and erode trust in media. Deepfake images and videos, often used for nefarious purposes like non-consensual pornography, can leave lasting impressions on our psyche, even after their falsity is exposed. Pearson warns of the long-term effects of exposure to such content, particularly on vulnerable populations like teenagers whose developing brains may be more susceptible to manipulation.
In response to these challenges, Pearson calls for a nuanced understanding of AI’s psychological impact and advocates for a proactive approach to addressing its potential harms. He stresses the importance of prioritizing human connection and well-being in the face of technological uncertainty, urging individuals to reflect on their values and embrace activities that foster genuine human interaction.
Ultimately, Pearson’s message serves as a reminder that while AI offers immense potential, we must remain vigilant about its unintended consequences and prioritize our mental and emotional resilience in navigating an increasingly AI-driven world. By acknowledging the psychological implications of AI and engaging in thoughtful dialogue, we can work towards harnessing its benefits while mitigating its risks.
Source: abc.net.au

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US official calls on China and Russia to affirm human, not AI, control over nuclear weapons

Published

1 day ago

May 2, 2024

Peter Tolan

Senior U.S. Official Urges China and Russia to Affirm Human Control Over Nuclear Weapons
In a recent online briefing, Paul Dean, an arms control official from the State Department, called on China and Russia to align their declarations with those of the United States and other nations. He stressed the importance of ensuring that only humans, not artificial intelligence, are responsible for decisions regarding the deployment of nuclear weapons.
Dean highlighted Washington’s firm commitment to maintaining human control over nuclear weapons, a commitment echoed by France and Britain. He expressed the hope that China and Russia would issue similar statements, emphasizing the significance of this norm of responsible behavior, especially within the context of the five permanent members of the United Nations Security Council.
These remarks coincide with efforts by the administration of U.S. President Joe Biden to engage in separate discussions with China on nuclear weapons policy and the development of artificial intelligence.
While the Chinese defense ministry has yet to respond to these comments, discussions on artificial intelligence emerged during recent talks between U.S. Secretary of State Antony Blinken and China’s Foreign Minister Wang Yi in Beijing. Both parties agreed to hold their first bilateral talks on artificial intelligence in the coming weeks, aiming to address concerns about the technology’s risks and safety.
Although U.S. and Chinese officials resumed nuclear weapons discussions in January as part of efforts to normalize military communications, formal arms control negotiations are not expected in the near future. Meanwhile, China, amid its expansion of nuclear capabilities, previously suggested that the largest nuclear powers should prioritize negotiating a no-first-use treaty between each other.
Source: reuters.com

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Enterprise AI Faces Looming Energy Crisis

Published

1 day ago

May 2, 2024

Peter Tolan

The widespread adoption of artificial intelligence (AI) has been remarkable, but it has come at a significant cost.
R K Anand, co-founder and chief product officer at Recogni, highlighted the exponential growth in data and compute power required to train modern AI systems. He emphasized that firms must invest substantial resources, both in terms of time and money, to train some of today’s largest foundational models.
Moreover, the expenditure doesn’t end once the models are trained. Meta, for instance, anticipates spending between $35 billion and $40 billion on AI and metaverse development this fiscal year. This substantial investment underscores the ongoing financial commitment necessary for AI development.
Given these challenges, Anand stressed the importance of developing next-generation AI inference solutions that prioritize performance and power efficiency while minimizing total ownership costs. He emphasized that inference is where the scale and demand of AI will be realized, making efficient technology essential from both a power cost and total cost of operations perspective.
AI inference, which follows AI training, is crucial for real-world applications of AI. Anand explained that while training builds the model, inference involves the AI system producing predictions or conclusions based on existing knowledge.
However, inference also represents a significant ongoing cost in terms of power and computing. To mitigate these expenses, Anand suggested methods such as weight pruning and precision reduction through quantization to design more efficient models.
Since a large portion of an AI model’s lifespan is spent in inference mode, optimizing inference efficiency becomes crucial for lowering the overall cost of AI operations.
Anand highlighted the importance of efficient inference for enterprises, noting that it enables higher productivity and returns on investment. However, he cautioned that without favorable unit economics, the AI industry could face challenges, especially considering the increasing volume of data.
Ultimately, Anand emphasized the need for AI solutions that increase productivity without significantly increasing operating costs. He predicted a shift towards allocating a larger portion of computing resources to inference as AI becomes more integrated into day-to-day work.
Source: pymnts.com

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