Uncategorized
E-waste Disposal Market to Reach $198.5 billion, Globally, by 2032 at 13.6% CAGR: Allied Market Research
Allied Market Research published a report, titled, “E-waste Disposal Market by Material (Metal, Plastic, Glass, Others), by Source (Household Appliances, IT and Telecommunication, Consumer Electronics, Others): Global Opportunity Analysis and Industry Forecast, 2024-2032″. According to the report, the e-waste disposal market was valued at $64.4 billion in 2023, and is estimated to reach $198.5 billion by 2032, growing at a CAGR of 13.6% from 2024 to 2032.
Download Research Report Sample & TOC:
https://www.alliedmarketresearch.com/request-sample/A32160
(We are providing report as per your research requirement, including the Latest Industry Insight’s Evolution, Potential and COVID-19 Impact Analysis)
128 – Tables
51 – Charts
250 – Pages
Prime Determinants of Growth
The key drivers of the e-waste disposal market include rise in consumer electronics consumption, stringent environmental regulations, and increase in awareness of electronic recycling opportunities. Moreover, innovative recycling technologies and expanding global e-waste management infrastructure are expected to provide lucrative opportunities for the growth of the e-waste disposal market during the forecast period. However, challenges in proper collection, logistics, and the presence of hazardous substances in electronic waste limit the growth of the e-waste disposal market.
Report Coverage & Details:
Report Coverage
Details
Forecast Period
2023–2032
Base Year
2023
Market Size in 2023
$64.4 billion
Market Size in 2032
$198.5 billion
CAGR
13.6 %
No. of Pages in Report
250
Segments Covered
Material, Source, and Region
Drivers
Rise in Use of Electronic Devices
Environmental Awareness about Sustainable E-Waste Disposal
Opportunity
Technological advancement
Embracing circular economy initiatives
Restraint
Supply chain challenges in the e-waste sector
The metal segment to maintain its leadership status during the forecast period
On the basis of material, the metal segment held the highest market share in 2023, accounting for nearly half of the global e-waste disposal market revenue and is estimated to maintain its leadership status during the forecast period. The metal segment is expected to witness the fastest growth rate of 13.8% during the forecast period owing to innovation and investment in recycling technologies.
Get Customized Reports with your Requirements:https://www.alliedmarketresearch.com/request-for-customization/A32160
The consumer electronics segment to maintain its leadership status during the forecast period
On the basis of source, the consumer electronics segment held the highest market share in 2023, accounting for more than half of the global e-waste disposal market revenue and is estimated to maintain its leadership status during the forecast period. The consumer electronics segment is also projected to attain the highest CAGR of 13.7% from 2024 to 2032 owing to rapid technological advancements and shorter product lifecycles.
Asia-Pacific to maintain its dominance by 2032
On the basis of region, Asia-Pacific held the highest market share in terms of revenue in 2023, accounting nearly two-fifth of the e-waste disposal industry revenue and expected to manifest the highest CAGR of 13.9% from 2024 to 2032 owing to rise in investments in Asia-Pacific regarding sustainable waste management awareness of proper disposal methods.
Leading Market Players:
Desco Electronic Recyclers
Aurubis AG
Boliden Group
MBA Polymers Inc.
ERI
Sims Limited
Umicore Stena Metall AB
Tetronics Environmental Technology Company
MRI Technologies
The report provides a detailed analysis of these key players in the global e-waste disposal market. These players have adopted different strategies such as partnership, investment in R&D, acquisition, mergers, and others to increase their market share and maintain dominant shares in different regions. The report is valuable in highlighting business performance, operating segments, product portfolio, and strategic moves of market players to showcase the competitive scenario.
Inquiry before Buying:https://www.alliedmarketresearch.com/purchase-enquiry/A32160
Key Benefits For Stakeholders:
This e-waste disposal market report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the e-waste disposal market analysis from 2023 to 2032 to identify the prevailing e-waste disposal market opportunities.
The e-waste recycling market research is offered along with information related to e-waste disposal market growth drivers, restraints, and opportunities.
Porter’s five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the e-waste disposal market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the e-waste disposal market share by company.
The report includes the e-waste disposal market insights of the regional as well as global e-waste disposal market trends, key players, market segments, application areas, and E-waste disposal growth drivers and strategies.
Procure Complete Report (250 Pages PDF with Insights, Charts, Tables, and Figures) @ https://www.alliedmarketresearch.com/checkout-final/E-Waste-Disposal-Market
E-waste Disposal Market Key Segments:
By Material
Metal
Plastic
Glass
Others
By Source
Household Appliances
IT and Telecommunication
Consumer Electronics
Others
By Region:
North America (U.S., Canada, and Mexico)
Europe (UK, Germany, France, Russia, and Rest of Europe)
Asia-Pacific (China, Japan, India, Australia, South Korea, and Rest of Asia-Pacific)
Latin America (Brazil, Argentina, and Rest of Latin America)
Middle East and Africa (UAE, Saudi Arabia, and Rest of Middle East and Africa)
Access AVENUE – A Subscription-Based Library (Premium On-Demand, Subscription-Based Pricing Model) @ https://www.alliedmarketresearch.com/library-access
Avenue is a user-based library of global market report database, provides comprehensive reports pertaining to the world’s largest emerging markets. It further offers e-access to all the available industry reports just in a jiffy. By offering core business insights on the varied industries, economies, and end users worldwide, Avenue ensures that the registered members get an easy as well as single gateway to their all-inclusive requirements.
Avenue Library Subscription | Request For 14 Days Free Trial of Before Buying:https://www.alliedmarketresearch.com/avenue/trial/starter
Trending Reports in Semiconductor and Electronics Industry:
E-Scrap Recycling Market generated $25.9 billion in 2022, and is projected to reach $96.7 billion by 2032, registering a CAGR of 14.2% from 2023 to 2032
Outsourced Semiconductor Assembly and Test (OSAT) Market size was valued at $34.6 billion in 2021, and is projected to reach $60.3 billion by 2031, growing at a CAGR of 6.3% from 2022 to 2031
Power Semiconductor Market was valued at $48.9 billion in 2022, and is projected to reach $75.1 billion by 2032, growing at a CAGR of 4.5% from 2023 to 2032
Semiconductor Bonding Market was valued at $0.88 billion in 2021, and is projected to reach $1.27 billion by 2031, growing at a CAGR of 3.6% from 2022 to 2031
The post E-waste Disposal Market to Reach $198.5 billion, Globally, by 2032 at 13.6% CAGR: Allied Market Research appeared first on HIPTHER Alerts.
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
The post Unveiling the Complex Psychological Implications of Artificial Intelligence appeared first on HIPTHER Alerts.
Uncategorized
US official calls on China and Russia to affirm human, not AI, control over nuclear weapons
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
The post US official calls on China and Russia to affirm human, not AI, control over nuclear weapons appeared first on HIPTHER Alerts.
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
The post Enterprise AI Faces Looming Energy Crisis appeared first on HIPTHER Alerts.
-
Artificial Intelligence3 days agoCleverTap launches Clever.AI, the AI-Driven Edge for Customer Engagement & Retention
-
Artificial Intelligence7 days agoSUNRATE partners with YeePay to empower Chinese companies to navigate global expansion
-
Uncategorized7 days agoIntel unveils AI-Platform Innovation for Paris 2024
-
Uncategorized4 days ago
Improving the Developer Journey in Crafting Artificial Intelligence Applications
-
Artificial Intelligence5 days agoAppdome Unveils World’s First Agentless Mobile EDR & MTD
-
Uncategorized4 days ago
Unveiling the Complex Psychological Implications of Artificial Intelligence
-
Artificial Intelligence4 days agoBitrue expands Bitcoin Runes Offerings with GPTV Listing and Staking Options
-
Artificial Intelligence4 days ago5G Enterprise Market Projected to Reach $115.81 billion by 2030 – Exclusive Report by 360iResearch
