Cloud Advancements in <span style='color:red'>APEJ</span> Maturing Beyond Cost and Operational Gains
  Organizations are slowly considering the next advancement of cloud adoption in terms of technology and services to reap benefits beyond cost reduction and IT productivity.  Organizations are slowly considering the next advancement of cloud adoption in terms of technology and services to reap benefits beyond cost reduction and IT productivity, according to the IDC Asia/Pacific excluding Japan (APEJ) cloud survey and Future Enterprise Resiliency & Spending Survey (2022).  “With the multicloud environment becoming more manageable, organizations are loving the openness towards having workload portability and getting the best out of their cloud strategy without worrying about challenges of complexities, vendor lock in, data privacy or governance,” said Shahnawas Latiff Research Manager at IDC Asia/Pacific.  Organizations in Asia/Pacific are experiencing transformation from a technology and services implementation point and are advancing their investment considering the future innovation needs. Cloud and cloud service capabilities are imminent investments that enable organizations to differentiate themselves and give them competitive edge. Ecosystem partners and professional service providers offer specialized capabilities to cloud service providers, who are otherwise getting commoditized with their bare minimum solutions or service.  IDC’s survey findings and spending guide indicates different levels of cloud maturity in terms of country’s adoption, investments, capabilities and expected business outcomes. Though many organizations have a multicloud strategy, they are not using the full capability of those cloud investments. This is now starting to change with messaging and service support around issues concerning data privacy, security, governance, complexity, skill availability and workload portability between different cloud.
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Release time:2023-01-03 10:08 reading:1910 Continue reading>>
APeJ Spending on Cognitive and Artificial Intelligence to Reach $5.0 Billion in 2021
  The latest update of the IDC Worldwide Semiannual Cognitive Artificial Intelligence Systems Spending Guide for Asia Pacific (excluding Japan ) expects cognitive and artificial intelligence spending to reach $1.0 billion in 2018, registering an annual increase of 94% over 2016, mainly led by software and services related technologies. IDC provides a detailed outlook at the Cognitive Artificial Intelligence spending based on technologies and use cases. IDC further predicts, Cognitive and AI spending will grow extensively and reach $5.0 billion in 2021, achieving a five-year compound annual growth rate (CAGR) of 69.8% over the forecast period (2016-21).  “Enterprises across are showing high Interest towards AI/ Cognitive system in APeJ with a decent adoption rate,” said Ashutosh Bisht, Research Manager at IDC Asia Pacific. “Automated Customer Service Agents and Intelligent Processing Automation are implemented by all the industries with a varied degree of penetration. AI/Cognitive system is one of the foundations of a digital transformation initiative and around 70% of enterprises will use AI Services by 2021,” Bisht added.  Banking industry is a major feeder market in terms of cognitive/AI spending. This industry will add around $140.7 million in 2018 backed by different use cases including fraud analysis and investigation, IT automation, automated customer service agents and program advisors and recommendation systems. Retail is the second leading industry and will invest around $112.7 million this year on a range of AI use cases which includes expert shopping advisors & product recommendations, automated customer service agents, merchandising for omni channel operations and supply and logistics. Healthcare provider industry placing at third position allocates most of its $87.6 million investments to its diagnosis and treatment systems.  Automated customer service agents, sales process recommendation and automation, and digital assistants for enterprise knowledge workers are the three major use cases with 11.5%, 9.1% and 9.0% respectively share to the overall cognitive/AI use cases spending in 2018. Whilst, over the forecast period (2017-21), expert shopping advisors & product recommendations, automated claims processing and intelligent processing automation use cases will register exceptional increase with five-year compound annual growth rate of 91.2%, 88.4% and 85% respectively.  Majority spending on cognitive and AI technology will go to software with 50.7% share of the overall spending in 2018, and the trend is likely to observe a linear growth with a five-year CAGR (2016-21) of 72.3% and reach $2.3 billion by 2021. The category is dominated by Cognitive Applications, which will deliver more than 82.6% of all cognitive and AI spending. While, services are the second leading technology group with $421.0 million, preceded by hardware technology group (servers and storage) with $108.4 million spending in 2018. Throughout the forecast period (2016-21), spending on services-based technology group will grow at faster pace at a five-year CAGR 75.3%, while hardware will record a sluggish growth at 38.5% CAGR respectively.  Jessie Cai, Senior Research Manager at IDC Asia Pacific said, “The cognitive/AI solution market is fast growing in APeJ and the demand within enterprises will mostly rise due to increased pressure to reduce operational cost. Organizations need to take note that the availability, quality and continuity of scenario-specific training data should be reviewed to best utilize cognitive/AI technologies.”  China is a top market in Asia Pacific (excluding Japan) with greater share of 65.5% to the overall spending. Automated customer service agents and sales process recommendation and automation are the leading use cases in China, which represents 25.6% share with the ongoing popularity of AI, chatbots and automated, self-service technologies. In the near term, advancement in technology will lead to maximum usage of robots as well as enhanced automated customer service agents which will deliver cognitively-enabled process and industry applications.
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Release time:2018-03-28 00:00 reading:1109 Continue reading>>
Singapore Manufacturing Sector Leads IoT Readiness in <span style='color:red'>APEJ</span>
  Asia Pacific (excluding Japan) IoT spend in (APeJ) is expected to reach US $ 455.6 billion by 2021. Manufacturing will account for US $130.9 billion in that year according to the IDC IoT Spending guide. While APeJ has an eclectic mix of economic climates, technology preparedness and ease of doing business, it also has significant focus on IoT deployment in the manufacturing sector across mature and emerging countries of the region. Singapore spearheads the manufacturing industry IoT readiness index because of its strong government thrust and robust FDI investment to drive technology and digital transformation initiatives. There is strong focus on integration of sensors with machines and products to improve customer service, optimize asset utilization and conduct predictive maintenance – driving forward Singapore’s IoT technologies and initiatives.  After the hugely successful models by IDC’s global and regional teams to evaluate the IoT readiness of the G20 nations in G20 Nations and the IoT: A Comparative Assessment (US41866816) and countries in Asia Pacific (excluding Japan) in APeJ Nations and the IoT: A Comparative Assessment (AP42881317), IDC has embarked on a vertical deep dive study to develop industry readiness indices in APeJ, starting with manufacturing, followed up by retail, banking and healthcare. According to the manufacturing IoT readiness index among 13 countries in the region, Singapore, New Zealand, South Korea, Taiwan and Australia have been identified as the top 5 IoT prepared countries in the manufacturing vertical.  "Singapore leads the APeJ nations for their IoT readiness in the manufacturing sector. Singapore’s ease of doing business, cloud infrastructure, IoT and IT spends, labor force productivity and use of robotics and automation in manufacturing processes contributes to its leading position," says Hugh Ujhazy, Associate Vice President for the Internet of Things research, IDC Asia Pacific. "Knowing where a country stands in the manufacturing loT index will help global and local IT vendors know what opportunities lie ahead of them, challenges faced and optimum vendor partnerships worth considering for end user organizations."  "IDC's assessment of the manufacturing vertical across APEJ nations also evaluates the top use cases being trialed in the region," adds Shaily Shah, Research Manager for the Internet of Things research, IDC Asia Pacific. "Amongst end user organizations in the manufacturing sector, key use cases that have emerged are manufacturing plant security, inventory tracking, payment systems, environmental monitoring and asset performance management. These are in various phases of research, pilot and production in the region as identified by IDC’s 2017 Annual End user IoT survey."
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Release time:2018-03-21 00:00 reading:1402 Continue reading>>

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