Artificial Intelligence
Artificial Intelligence (AI) in Cybersecurity Market Worth $46.3 billion by 2027- Exclusive Report Covering Pre and Post COVID-19 Market Estimates by Meticulous Research®
London, June 19, 2020 (GLOBE NEWSWIRE) — According to new market research report titled, “Artificial Intelligence (AI) in Cybersecurity Market by Technology (ML, NLP), Security (Endpoint, Cloud, Network), Application (DLP, UTM, Encryption, IAM, Antivirus, IDP), Industry (Retail, Government, Automotive, BFSI, IT, Healthcare, Education), Geography– Global Forecast to 2027”. The artificial intelligence in cybersecurity market is expected to grow at a CAGR of 23.6% from 2020 to 2027 to reach $46.3 billion by 2027.Download Free Sample Report Now @ https://www.meticulousresearch.com/download-sample-report/cp_id=5101Artificial intelligence in cybersecurity can simply be defined as the incorporation of AI technology to simplify complex processes of cybersecurity to make the system more reliable, secure, and independent. Emergence of disruptive digital technologies across different industry verticals, increasing demand for advanced cybersecurity solutions & privacy, increase in frequency & complexity of cyber threats, and consistent technological developments are the key factors driving the growth of the artificial intelligence in cybersecurity market. Moreover, the growing need for cloud-based security solutions among small and medium-sized enterprises and rising adoption of 5G technology is encouraging the growth of the artificial intelligence in cybersecurity market during the forecast period. However, the lack of skilled AI professionals and global impact of COVID-19 pandemic may restrict the growth of this market in the coming years to some extent.Impact of COVID-19 on Artificial Intelligence in Cybersecurity MarketIn 2020, the world is facing a very difficult and unpredicted situation as the coronavirus continues to spread. The COVID-19 has started showing its distressing collision on most of the profitable businesses across the globe. The outbreak is also causing the world’s economy to be slower and creating serious challenges for various industries. Due to lockdowns, several organizations are functioning with work from home policies over the organization’s network. Reliance on remote access systems is making organizations more vulnerable to DDOS and phishing attacks. Excessive dependence on network usage during the COVID-19 pandemic is creating several loopholes for data theft, ransomware attacks, and data breaches in an organization. Several organizations are ensuring their detection and alerting capabilities are functional while keeping an eye on the impact of having remote workers, thereby exposing sensitive information. Organizations are focusing on monitoring emails and active directory for anomalous logins, reviewing tactical actions, and implementing key security controls that are overlooked on multiple occasions. Several leading players are planning their strategies accordingly by ensuring remote access system is sufficiently resilient to withstand cyber threats and rethink their cyber risk management measures. The artificial intelligence in cybersecurity will play a significant role in the safety and security of organizations from cyber threats. With the COVID-19 impact, industry verticals are focusing on reducing dependencies on human resources, as well as maximizing the use of process and advanced technology to perform cybersecurity activities. The positive impact will be perceptible which in turn encourages the growth of the AI in cybersecurity market over the forecast period.Speak to our Analysts to Understand the Impact of COVID-19 on Your Business: https://www.meticulousresearch.com/speak-to-analyst/cp_id=5101Although the overall AI in cybersecurity market has got affected by the pandemic, the market still holds considerable potential to bounce back. According to the Cyber Intelligence Centre, in 2020, there is a spike of phishing attacks, mail spams, and ransomware attacks as attackers are using COVID-19 as bait to personate brands, thereby misleading customers and employees. Thus, organizations are focusing on advanced technologies in cybersecurity for protection against such threats. Besides, the factors such as favorable government policies & initiatives including financial packages for the businesses and ease in tax, increasing demand for advanced cybersecurity solutions in the healthcare sector coupled, and increasing investment in advanced technologies are further expected to contribute to the growth of the artificial intelligence in cybersecurity market.The overall artificial intelligence in cybersecurity market study presents historical market data (2018 & 2019), estimated current data (2020), and forecasts for 2027. The market is segmented on the basis of component, technology, security, applications, deployment, industry vertical, and geography. The study also evaluates industry competitors and analyzes the market at a country level.Based on component, the software segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020. The large share of this segment is primarily driven by the factors such as growing number of data security concerns, increase in demand for AI platform solutions for security operation, and increasing demand for robust and cost-effective security solutions among business enterprises to strengthen their cybersecurity infrastructure. Moreover, the growing demand for new installation and integration and organizations’ call for frequent support and maintenance is also expected to encourage fast growth of the service segment during the forecast period. However, the service segment is expected to grow with the fastest growth rate over the coming years. AI in cybersecurity is expected to become more mature in the western part of the world. As a result, professional AI services such as deployment & integration and support & maintenance are expected to gain momentum with the consistent proliferation of AI in cybersecurity.Based on technology, the Machine Learning technology segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020, as well as projected to grow with the fastest CAGR during the forecast period. The large share and rapid growth of this segment is mainly attributed to its capability to collect, process, and handle big data that originated from different sources. This helps in making predictions based on the data, forecast cyber threats, and help in analyzing real-time user behavior patterns to protect the network from potential cyberthreats. Besides, role of machine learning in modern-day healthcare cybersecurity is quite crucial, as this particular end-use vertical is one of the most affected verticals from security breaches and data thefts. Therefore, the growing need for intelligent healthcare cybersecurity is encouraging the fast growth of Machine Learning technology in AI in cybersecurity market.Based on security, the network security segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020, owing to the increasing number of APTs, malware, and phishing attacks. Besides, the factors such as increase in the adoption of the Bring Your Own Device (BYOD) trend, growing demand for network security solutions, and privacy concerns is also expected to drive the growing demand for network security segment in the coming years. On the other hand, the cloud security segment is slated to grow at the fastest CAGR during the forecast, which is primarily driven by the increased adoption of Internet of Things (IoT) devices, growing adoption of cloud-based security technologies, and increasing demand for robust and cost-effective security services. Besides, the high adoption rate of cloud computing among small and medium scale enterprises has further proliferated the growth of the cloud security segment in the overall AI in cybersecurity market.Based on application, the identity and access management segment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020. The large share of the segment is mainly attributed to the growing need for integrity and safety of the confidential information in industry verticals, growing emphasis on compliance management, increasing trend of mobility solutions, and increase in security concerns among organizations. However, the data loss prevention segment is slated to grow at the fastest CAGR during the forecast period, due to the increasing focus of organizations towards meeting regulatory and compliance requirements and shifting of data to cloud storage. Besides, consistently growing cases of data theft in organizations is also expected to support the fast growth of this segment.Based on deployment, the on-premises deployment is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020. The large share of this segment is primarily accounted for the factors such as increase in concerns towards enhancing the internal processes & systems, security issues related to cloud deployment, and rise in demand for advanced security application software among industry verticals. However, the cloud-based deployment is slated to grow at the fastest CAGR during the forecast period due to the increasing number of large enterprises using cloud platform for data repository as well as growing demand to reduce the capital investment required to implement cybersecurity solutions. Besides, several organizations are moving operations to the cloud, which has led cybersecurity vendors to develop cloud-based solutions.Quick Buy – AI in Cybersecurity Market Research Report: https://www.meticulousresearch.com/buy_now.php?pformat=403&vformat=1193Based on industry vertical, the BFSI sector is estimated to account for the largest share of the overall artificial intelligence in cybersecurity market in 2020. The large share of this segment is primarily accounted for the rising sophistication levels of cyber-attacks, increasing number of financial & banking frauds, and hacking and mounting number of cyber-attacks in banking & financial services sector. However, the manufacturing sector is slated to grow at the fastest CAGR during the forecast period, due to the rising sophistication levels of cyber-attacks, increasing government funding to improve the cybersecurity of the industrial environment, advent of industrial 4.0, rise in the number of malware attacks, and increase in the adoption of IoT devices.Geographically, the North America region is estimated to command the largest share of the global artificial intelligence in cybersecurity market in 2020, followed by Asia Pacific, Europe, Latin America, and the Middle East & Africa. The large share of this region is primarily accounted for the factors such as presence of major players along with several emerging startups in the region, increase in government initiatives towards advanced technologies such as artificial intelligence, proliferation of cloud-based solutions, increasing sophistication of cyber-attacks, and emergence of disruptive digital technologies. However, Asia-Pacific region is expected to witness rapid growth during the forecast period, driven by the factors such as rising consumption of connected devices; growing awareness regarding cybersecurity among organizations; rapid economic development; high adoption of advanced technologies such as IoT, 5G technology, and cloud computing; and rising privacy & security concerns in the region.The report also includes an extensive assessment of the key strategic developments adopted by the leading market participants in the industry over the past 4 years (2017–2020). The artificial intelligence in cybersecurity market has witnessed partnerships & agreements in recent years that enabled companies to broaden their product portfolios, advance the capabilities of existing products, as well as gain the cost leadership in the cybersecurity market. For instance, in 2020, IBM Corporation partnered with will.i.am’s AI startup to further push artificial intelligence, with Red Hat OpenShift on IBM public cloud. This will further ensure enterprise-level security for customer data. Similarly, in 2020, LogRhythm, Inc. partnered with Keeper Security, provider of the leading cybersecurity platform. This partnership will integrate Keeper’s extensive password event data into LogRhythm SIEM to create a holistic view of a threat environment.The global artificial intelligence in cybersecurity market is fragmented in nature. The major players operating in this market are Amazon Web Services, Inc. (U.S.), IBM Corporation (U.S.), Intel Corporation (U.S.), Microsoft Corporation (U.S.), Nvidia Corporation (U.S.), FireEye, Inc. (U.S.), Palo Alto Networks, Inc. (U.S.), Juniper Networks, Inc. (U.S.), Fortinet, Inc. (U.S.), Cisco Systems, Inc. (U.S.), Micron Technology, Inc. (U.S.), Checkpoint Software Technologies Ltd. (U.S.), Imperva (U.S.), McAfee LLC (U.S.), LogRhythm, Inc. (U.S.), Sophos Ltd. (U.S.), NortonLifeLock Inc. (U.S.), and Crowdstrike Holdings, Inc. (U.S.), among others.To gain more insights into the market with a detailed table of content and figures, click here: https://www.meticulousresearch.com/product/artificial-intelligence-in-cybersecurity-market-5101/Scope of the Report:AI in Cybersecurity Market by Component Hardware ProcessorsNetworking SolutionsMemory SolutionsSoftware AI PlatformsAI SolutionsServices Deployment & IntegrationSupport & MaintenanceAI in Cybersecurity Market by Technology Machine LearningNatural Language ProcessingContext-Aware ComputingAI in Cybersecurity Market by Security Type Application SecurityEndpoint SecurityCloud SecurityNetwork SecurityAI in Cybersecurity Market by ApplicationData Loss PreventionUnified Threat ManagementEncryptionIdentity and Access ManagementRisk and Compliance ManagementAntivirus/AntimalwareIntrusion Detection/Prevention SystemDistributed Denial of Service (DDoS) MitigationSecurity Information and Event Management (SIEM)Threat IntelligenceFraud DetectionAI in Cybersecurity Market by Deployment Type On-PremisesCloudAI in Cybersecurity Market by Industry VerticalRetailGovernment & DefenseAutomotive & TransportationBFSIManufacturingInfrastructureIT & TelecommunicationHealthcareAerospaceEducationEnergyAI in Cybersecurity Market by Geography: North AmericaU.S.CanadaEuropeGermanyU.K.FranceItalySpainRest of EuropeAsia-PacificJapanChinaIndiaSouth KoreaRest of Asia-PacificLatin AmericaMiddle East and AfricaDownload Free Sample Report Now @ https://www.meticulousresearch.com/download-sample-report/cp_id=5101Amidst this crisis, Meticulous Research® is continuously assessing the impact of COVID-19 pandemic on various sub-markets and enables global organizations to strategize for the post-COVID-19 world and sustain their growth. Let us know if you would like to assess the impact of COVID-19 on any industry here- https://www.meticulousresearch.com/custom-research.phpRelated Reports:Big Data Security Market by Component (Solution, Services), Application (Identity and Access Management, Security Information and Event Management, Intrusion Detection System), Deployment, Industry Size (SMEs, Large Enterprises)- Global Forecast to 2027https://www.meticulousresearch.com/product/big-data-security-market-4984/Artificial Intelligence in Retail Market by Product (Chatbot, Customer Relationship Management), Application (Programmatic Advertising), Technology (Machine Learning, Natural Language Processing), Retail (E-commerce and Direct Retail)- Forecast to 2025https://www.meticulousresearch.com/product/artificial-intelligence-in-retail-market-4979/Artificial Intelligence in Supply Chain Market by Component (Platforms, Solutions) Technology (Machine Learning, Computer Vision, Natural Language Processing), Application (Warehouse, Fleet, Inventory Management), and by End User – Global Forecast to 2027https://www.meticulousresearch.com/product/artificial-intelligence-ai-in-supply-chain-market-5064/Artificial Intelligence In Healthcare Market By Product (Hardware, Software, Services), Technology (Machine Learning, Context-Aware Computing, NLP), Application (Drug Discovery, Precision Medicine), End User, And Geography – Global Forecast To 2025https://www.meticulousresearch.com/product/artificial-intelligence-healthcare-market/Artificial Intelligence in Manufacturing Market, by Component, Technology (ML, Computer Vision, NLP), Application (Cybersecurity, Robot, Planning), Industry (Electronics, Energy, Automotive, Metals and Machine, Food and Beverages) – Global Forecast to 2027https://www.meticulousresearch.com/product/artificial-intelligence-in-manufacturing-market-4983/Digital Transformation Market by Technology (IoT, Cloud, Big Data, AI), Process Transformation (Customer, Operation, Product, Workforce), End-use Industry (Retail, Healthcare, Manufacturing, Insurance), Industry Size – Global Forecast to 2025https://www.meticulousresearch.com/product/digital-transformation-market-4980/About Meticulous Research®The name of our company defines our services, strengths, and values. Since the inception, we have only thrived to research, analyze and present the critical market data with great attention to details.Meticulous Research® was founded in 2010 and incorporated as Meticulous Market Research Pvt. Ltd. in 2013 as a private limited company under the Companies Act, 1956. Since its incorporation, with the help of its unique research methodologies, the company has become the leading provider of premium market intelligence in North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa regions.With the meticulous primary and secondary research techniques, we have built strong capabilities in data collection, interpretation, and analysis of data including qualitative and quantitative research with the finest team of analysts. We design our meticulously analyzed intelligent and value-driven syndicate market research reports, custom studies, quick turnaround research, and consulting solutions to address business challenges of sustainable growth.
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HANGZHOU, China, May 16, 2024 /PRNewswire/ — On May 13, Unitree Robotics introduced its latest masterpiece — Unitree G1 Humanoid agent, AI avatar! It immediately caused a sensation in the global AI and robotics fields.
The robot is about 127 centimeters tall and weighs about 35 kilograms. It has flexibility beyond ordinary people and unlocks unlimited movement potential. The walking speed of G1 is about 2m/s. It has a large joint movement space, with 23-43 joints, and the maximum joint torque can reach 120N.m. It can perform high-load dynamic movements, such as dynamic stand-up, seat folding, dance stick, etc. At the same time, G1 is based on deep reinforcement learning and simulation training, and uses the accelerated development of AI to continuously upgrade and evolve.
G1 can be equipped with the optional Dex3-1 force-controlled dexterous hand. Through force-position hybrid control, G1 can simulate the precise operation ability of the human hand and accurately control various objects. Whether it is smashing walnuts, carrying heavy objects, or picking up fragile objects such as eggs, the G1 can demonstrate extremely high accuracy and stability. What’s more worth mentioning is that the G1 robot can also easily handle delicate operations such as opening soda bottles and welding. These tasks that were considered difficult for machines in the past have now become a piece of cake under the dexterous control of the G1.
The G1 is equipped with Intel RealSense D435 and LIVOX-MID360 3D lidar, which can achieve 360° detection and perception. These sensors provide a powerful perception hardware foundation, allowing G1 to better understand the surrounding environment. In addition, the G1 power supply module supports two hours of battery life and quick disassembly.
There are two versions of the G1 humanoid robot released this time, namely G1 and G1 EDU. The price of G1 is $16k. As an advanced version, G1 EDU provides a combination of different module solutions, and the price is customized according to different customer needs. Compared with G1, G1 EDU supports Dex3-1 force-controlled dexterous hand installation, optional tactile sensor arrays, greater knee joint torque and arm load, and optional NVIDIA Jetson Orin high computing power module to support secondary development.
Unitree also released the robot world model, providing a co-creation platform: UnifoLM (Unitree Robot Unified Large Model), allowing everyone to jointly create a new era of intelligent agents and explore unlimited innovation possibilities.
Introduction: https://www.unitree.com/g1
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Qiskit now refined as a comprehensive quantum software stack, focused on performance and stability to fully harness the power of utility-scale quantum hardware, and enable users to run increasingly more complex quantum circuits in the search for quantum advantage. YORKTOWN HEIGHTS, N.Y., May 15, 2024 /PRNewswire/ — IBM (NYSE: IBM) today announced the evolution and expansion of Qiskit, its globally adopted quantum software. Launched in 2017, Qiskit, as a software development kit (SDK) is an open-source tool that has allowed over 550,000 users to build and run quantum circuits on IBM’s quantum hardware systems, resulting in the execution of over 3 trillion quantum circuits to date.
The latest version of Qiskit has been expanded to a comprehensive software stack to deliver even more performance. It has evolved from its beginnings as a popular quantum software development kit used to explore and run quantum computing experiments and into a stable SDK and portfolio of services, built to enable users to extract improved performance while running complex quantum circuits on 100+ qubit IBM quantum computers.
This expansion will equip members of the IBM Quantum Network with the most performant Qiskit capabilities available to discover the next generation of quantum algorithms in their respective domains: which will play an important role in their discovery of quantum advantage.
To reach quantum advantage, users need a toolset which can map their problems in a way which leverages both advanced classical and quantum computation; optimizes the problem for efficient execution with quantum; and then effectively executes the quantum circuits on real quantum hardware. IBM has spent the last seven years developing these tools, which are now coming together to comprise the Qiskit software stack.
This expansion of Qiskit includes over 100 releases from its origins as a pioneering research tool built to study the inner workings of quantum computers. Today, Qiskit has matured as a software stack on which enterprises, government organizations, research institutions, and universities are running large-scale quantum experiments.
The expanded software stack of Qiskit includes:
The stable release of Qiskit SDK v1.x for building, optimizing, and visualizing quantum circuits.AI-powered optimization of quantum circuits for quantum hardware, embedded in the Qiskit Transpiler Service. Simplified execution modes for the Qiskit Runtime Service which can be tailored for performant execution of quantum circuits on quantum hardware.The Qiskit Code Assistant, powered by watsonx-based generative AI models, to automate the development of quantum codeThe Qiskit Serverless open-source tool to run quantum-centric supercomputing workloads across quantum hardware and classical clusters.The deployment of new capabilities and improvements within Qiskit SDK are enabling users to optimize circuits for quantum hardware at a rate 39 times faster than Qiskit 0.331. Qiskit also is engineered to reduce the overhead and shrink the footprint of circuits, demonstrating an average of 3 times reduction in memory usage compared to Qiskit 0.43.2
And using the Qiskit Transpiler Service, users can reduce circuit depth by combining AI and heuristic passes, compared to using the Qiskit SDK without AI optimization.
“The global adoption of quantum computing — and the discovery of quantum advantage — will require a combination of leading quantum hardware alongside a robust and performant software stack to run workloads,” said Jay Gambetta, IBM Fellow and Vice President, IBM Quantum. “These two pillars are fundamental to the algorithm discovery that has begun on utility-scale quantum hardware. As a growing quantum ecosystem maps their most difficult problems to quantum circuits, the Qiskit stack will be the cornerstone to exploring the computational spaces in which quantum computing excels.”
IBM first demonstrated the utility-scale capabilities of its quantum hardware in 2023. This signaled the start of an era in which quantum hardware can run quantum circuits faster and more accurately than a classical computer simulating a quantum computer can. Now built to maximize the performance of advanced quantum hardware, the Qiskit software stack aims to help a global ecosystem of users discover new quantum algorithms that explore where quantum computers could be the best way to solve challenges over any classical method.
“Qiskit provides an important collection of tools for E.ON as we explore how quantum computing could help us navigate the financial and operational complexities of the energy industry,” said Giorgio Cortiana, Head of Data and AI – Energy Intelligence, E.ON. “As a performant foundation to build and discover quantum algorithms that can be applied to business use cases, Qiskit enables our team to advance utility-scale prototypes, with the goal of finding new solutions to challenges in the European energy sector.”
“We started using Qiskit for our quantum computing efforts several years ago as part of an effort to help develop a quantum-ready workforce,” said Stephan Eidenbenz, senior scientist at Los Alamos National Laboratory. “Laboratory researchers use Qiskit daily to interact with IBM’s quantum hardware backends and to test new algorithmic ideas. The open nature of Qiskit also offers our team the ability to add compiler optimization passes and allows pulse-level access.”
“At Brookhaven, we have used Qiskit to execute circuits on IBM’s quantum hardware, which has resulted in almost 20 published papers to date, including exploring the frontiers of physics, dynamic systems, condensed matter systems, and more. Qiskit has also enabled our teams to develop extensions that push forward our exploration of bosonic and hybrid qubit-bosonic circuits, and how they could advance fundamental quantum algorithm development and error correction,” said James Misewich, Associate Laboratory Director for Energy and Photon Sciences, Brookhaven National Laboratory. “As we advance the scientific applications of quantum computing, we have incorporated IBM’s Qiskit resources and tutorials into our educational programs through Brookhaven’s Co-design Center for Quantum Advantage, where we partner with academic institutions like Stony Brook University to prepare the quantum workforce of the future.”
“For our Quantum Computing User Program here at Oak Ridge National Laboratory, advances in quantum computing software can help support the innovation and rapid growth of our user community and their developing technologies,” said Travis Humble, director of the Department of Energy’s Quantum Science Center at Oak Ridge National Laboratory. “Improvements in software performance will significantly impact how users test and evaluate the potential of today’s quantum computing systems.”
“The team at Q-CTRL is enthusiastic about building with Qiskit,” said Michael J. Biercuk, CEO and Founder of Q-CTRL. “Its flexible new interfaces and enhanced stability are enabling us to efficiently build simple abstractions on top of our powerful performance-management software at utility scale, so end users can explore their toughest problems with a single command.”
Built for the Era of Quantum Utility and Beyond
Through its support of rapidly advancing quantum hardware, including vendor-agnostic flexibility, the Qiskit software stack is designed to run the breakthrough quantum circuits to progress the era of quantum utility. This is achieved by replacing performance-critical code with the Rust programming language, alongside a full portfolio of tools to enable the efficient execution of quantum circuits.
As IBM continues to build milestones along its IBM Quantum Development and Innovation Roadmap towards error-corrected systems, the company expects that Qiskit will continue to deliver a framework for open, iterative, and collaborative development of new quantum algorithms and applications, done in conjunction with a growing global ecosystem of clients across industries and domain expertise areas.
Additionally, these advancing capabilities will aim to help users weave together classical and quantum computing resources into a new paradigm of high-performance computing defined by quantum-centric supercomputing that integrates QPUs, GPUs, and CPUs. Orchestrated through the performant software layer of Qiskit, this next evolution of high-performance computing aims to open up new, large, and powerful spaces for industries globally.
Disclaimer: IBM’s statements regarding Qiskit’s performance compares the current iteration of the software against its performance from applicable previous version when comparable features were available to users. Qiskit 0.33 total speed time equaled 430.89 seconds at IBM Quantum Summit 2021. Qiskit 1.0 total speed time equaled 10.9 seconds upon release in February, 2024.Disclaimer: IBM’s statements regarding Qiskit’s performance compares the current iteration of the software against its performance from applicable previous version when comparable features were available to users. Qiskit 0.43 memory usage equaled 1,750 MiB in May, 2023. Qiskit 1.0 memory usage equaled 580 MiB upon release in February, 2024.IBM’s statements regarding its plans, directions, and intent are subject to change or withdrawal without notice at IBM’s sole discretion. The development, release, and timing of any future features or functionality described for our products remain at our sole discretion.
About IBM
IBM 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 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 long-standing commitment to trust, transparency, responsibility, inclusivity and service.
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Artificial Intelligence
Southeast Asia Data Center Construction Market Investment to Reach $5.29 Billion by 2029 – Exclusive Research Report by Arizton
CHICAGO, May 15, 2024 /PRNewswire/ — According to Arizton’s latest research report, the Southeast Asia data center construction market is growing at a CAGR of 11.69% during 2023-2029.
To Know More, Click: https://www.arizton.com/market-reports/southeast-asia-data-center-construction-market
Browse in-depth TOC on the Southeast Asia Data Center Construction Market
36 – Tables 116 – Figures 352 – Pages
Southeast Asia Data Center Construction Market Report Scope
Report Attributes
Details
Market Size – Investment (2029)
USD 5.29 Billion
Market Size – Investment (2023)
USD 2.80 Billion
CAGR – Investment (2023-2029)
11.18 %
Market Size – Area (2029)
3,079 Thousand Square Feet
Power Capacity (2029)
578 MW
Historic Year
2020-2022
Base Year
2023
Forecast Year
2024-2029
Regional Analysis
Southeast Asia (Singapore, Indonesia, Malaysia, Thailand, Philippines, Vietnam, and Other Southeast Asia Countries)
The Southeast Asia data center construction market is one of the fastest-developing markets globally, driven by the increase in cloud adoption, the advent of 5G services, and the adoption of AI, Big data, and IoT technology. Singapore, Malaysia, Indonesia, and Thailand have robust connectivity and are among the most connected countries in Southeast Asia. Singapore is the gateway and an integral interconnection point to several APAC countries, including Japan, South Korea, Vietnam, and Pakistan. The adoption of cloud-based services will likely be a significant driver of the data center market over the next few years.
Moreover, Singapore boasts the largest existing capacity in the region, and countries such as Malaysia, Indonesia, and the Philippines are outpacing it in terms of new investments, collectively capturing over 50% of the market share for new investments. This trend can be attributed to several factors, including lower energy costs, increased renewable energy sources, and inexpensive labor and land availability. These factors are influencing companies’ decisions to invest in these emerging markets.
Watch Out for How Advancing in Adoption of AI Boosting the Market Growth
In June 2023, Run ai, a company that manages computing resources for AI tasks, announced a strategic partnership with AI Singapore. AI Singapore, a national R&D initiative led by the National Research Foundation, Singapore, aims to establish strong AI capabilities in the country. This collaboration aims to provide scalable infrastructure solutions for various AI projects and assist AI Singapore in its mission to expedite AI adoption across industries.AI Singapore, as the country’s AI initiative, holds a pivotal position in aiding organizations in adopting AI solutions. It has made significant strides through its notable 100 Experiments Programme (100E) and the acclaimed AI Apprenticeship Programme (AIAP). Collaborating with over 60 companies, they’ve trained over 200 Singaporean AI engineers to create, assess, and implement numerous AI models that tackle real-world challenges.While AI investments primarily focus on Singapore, nine out of the top 10 deals involved start-ups based in Singapore that cater to various businesses and use cases throughout the region. For instance, Biofourmis, a health analytics platform analyzing physiological data from clinical-grade wearables, operates in both Singapore and Indonesia. Similarly, Tookitaki, a sophisticated decision-support system for compliance programs in the financial services sector, extends its operations across the six major Southeast Asian countries.The Southeast Asia Colocation Data Center Market by Investment to Reach $4 Billion by 2029
In Southeast Asia, colocation investments in Singapore declined significantly over the last few years owing to the lack of space for new builds. This has led to the spill over demand toward Indonesia and Malaysia. The upcoming capacity of under-construction announced and planned data center campuses across these two countries will overtake Singapore’s existing colocation capacity. In the same year, BDx Indonesia, Chindata Group, EdgeConneX, Equinix, Keppel Data Centres, GDS Services, Princeton Digital Group, and others invested in developing colocation data center facilities in the region.
The Southeast Asia Data Center Construction Market Report Encompasses Crucial Data, Including: CAGR (Compound Annual Growth Rate) during the forecast period: This metric provides insights into the annual growth rate of the Southeast Asia data center construction market over the specified time frame. Detailed information on growth drivers: The report offers in-depth information on the factors that will propel the Southeast Asia data center construction market growth from 2023 to 2029. This includes an analysis of various market influences. Precise estimation of market size: Accurate assessments of the Southeast Asia data center construction market size and its contribution and focusing on key market segments. Predictions about upcoming trends and changes in consumer behavior: The report offers insights into anticipated trends and shifts in consumer behavior that are likely to impact the Southeast Asia data center construction market helping businesses prepare for future market dynamics. Geographical market growth: The report covers the development of the data center construction market across Southeast Asia.Competitive landscape analysis: A thorough examination of the market’s competitive landscape is presented, including detailed information about companies operating in the Southeast Asia data center construction market. This includes an overview of key players, their market share, strategies, and key developments. Analysis of growth challenges: The report includes a comprehensive analysis of factors that may pose challenges to the growth of companies in the Southeast Asia data center construction market, providing a well-rounded view of the market dynamics.
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Post-Purchase Benefit
1hr of free analyst discussion10% off on customizationThe Report Includes the Investment in the Following Areas:
Facility Type
Colocation Data CentersHyperscale Data CentersEnterprise Data CentersInfrastructure
Electrical InfrastructureMechanical InfrastructureGeneral ConstructionElectrical Infrastructure
UPS SystemsGeneratorsTransfer Switches & SwitchgearPDUsOther Electrical InfrastructureMechanical Infrastructure
Cooling SystemsRacksOther Mechanical InfrastructureCooling Systems
CRAC & CRAH UnitsChiller UnitsCooling Towers, Condensers & Dry CoolersOther Cooling UnitsCooling Techniques
Air-based CoolingLiquid-based CoolingGeneral Construction
Core & Shell DevelopmentInstallation & Commissioning ServicesEngineering & Building DesignFire Detection & SuppressionPhysical SecurityDCIM/BMS SolutionsTier Standard
Tier I & IITier IIITier IVGeography
Southeast Asia
SingaporeIndonesiaMalaysiaThailandPhilippinesVietnamOther Southeast Asia CountriesVendors
Key Construction Contractors
ArupAurecon GroupCSF GroupDSCO GroupGammon ConstructionNTT FacilitiesPM GroupStudio One DesignOther Prominent Construction Contractors
AtkinsRéalisAWP ArchitectsCorganDPR ConstructionFirst BalfourFortis ConstructionISGKienta Engineering ConstructionLinesightLSK EngineeringM+W GroupNakano CorporationObayashi CorporationPowerware SystemsSato KogyoRed EngineeringProminent Support Infrastructure Vendors
ABBCaterpillarCisco SystemsCumminsDell TechnologiesEatonRittalSchneider ElectricSTULZVertivOther Prominent Support Infrastructure Vendors
AiredaleAlfa LavalCanovateCyber Power SystemsDelta ElectronicsEAEFuji ElectricFujitsuGreen Revolution CoolingHewlett Packard EnterpriseHITEC Power ProtectionHuawei TechnologiesKOHLER PowerLegrandLenovoMitsubishi ElectricNaradaNortek Air SolutionsPiller Power SystemsRolls-RoyceShenzhen Envicool TechnologySiemensSocomecTraneProminent Data Center Investors
Amazon Web ServicesChindata Group (Bridge Data Centres)DCI IndonesiaDigital RealtyePLDTEquinixGDS ServicesKeppel Data CentresNTT DATAST Telemedia Global Data CentresTelkom IndonesiaVADS (Telekom Malaysia)Viettel IDCOther Prominent Data Center Investors
AirTrunkBeeinfotechBig Data Exchange (BDx)Converge ICT SolutionsDigital Edge DCMeta (Facebook)FPT TelecomGoogleMettaDCMicrosoftOneAsia NetworkOpen DCPrinceton Digital GroupSingtelVantage Data CentersNew Entrants
CtrlS DatacentersDigital HaloEdgeConneXEvolution Data CentresFlow Digital InfrastructureFutureData (Cyclect Group + TSG Group)Gaw CapitalI-BerhadInfinaxis Data CentreInfracrowd CapitalK2 Data CentresMinoro Energi IndonesiaNautilus Data TechnologiesPure Data Centres GroupYCO CloudYTL Data CenterYondrKey Questions Answered in the Report:
How big is the Southeast Asia data center construction market?What is the estimated market size in terms of area in the Southeast Asia data center construction market by 2029?What is the growth rate of the Southeast Asia data center construction market?What are the key trends in the Southeast Asia data center construction market?How many MW of power capacity is expected to reach the Southeast Asia data center construction market by 2029?
Get Detailed TOC @ https://www.arizton.com/market-reports/southeast-asia-data-center-construction-market
Check Out Some of the Top Selling Research Reports:
U.S. Data Center Construction Market – Industry Outlook & Forecast 2024-2029
https://www.arizton.com/market-reports/united-states-data-center-construction-market-2024
Latin America Data Center Construction Market – Industry Outlook & Forecast 2024-2029
https://www.arizton.com/market-reports/latin-america-data-center-construction-market-size-and-analysis-2024
Southeast Asia Data Center Market Landscape 2023-2028
https://www.arizton.com/market-reports/southeast-asia-data-center-market
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