Machine learning has the highest revenue in the United Arab Emirates' AI market, at about 420.97 million U.S. dollars in 2024. Contrastingly, AI Robotics is ranked last, with 63.1 million U.S. dollars. Their difference, compared to machine learning, lies at 357.87 million U.S. dollars.
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The UAE Digital Transformation Market Report is Segmented by Type [Analytics, Artificial Intelligence, and Machine Learning, Extended Reality (XR), Iot, Industrial Robotics, Blockchain, Additive Manufacturing/3D Printing, Cybersecurity, Cloud and Edge Computing, and Others (Digital Twin, Mobility, and Connectivity)] and End-User Industry [Manufacturing, Oil, Gas and Utilities, Retail and E-Commerce, Transportation and Logistics, Healthcare, BFSI, Telecom and IT, Government and Public Sector and Others (Education, Media & Entertainment, Environment Etc)]. The Market Sizes and Forecasts are Provided in Terms of Value (USD) for the Segments.
The largest contribution to the economy of the United Arab Emirates (UAE) by artificial intelligence was expected to be in the financial services sector at about 37 billion U.S. dollars by 2035. The logistics industry of the UAE was expected to contribute to its economy by eight percent in 2021.
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The Report Covers Global Artificial Intelligence Industry Report, Overview, and the Market is Segmented by Components (Hardware and Software and Services), by End-User Industry (BFSI, Fashion and Retail, Healthcare and Life Sciences, Manufacturing, Automotive, Aerospace and Defense, Construction, and Other End Users), by Geography (North America (United States, Canada), Europe (United Kingdom, Germany, France, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Rest of Asia Pacific), Latin America, and Middle East and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD Billion for all the Above Segments.
In 2020, the global AI software market is expected to grow approximately 54 percent year-on-year, reaching a forecast size of 22.6 billion U.S. dollars. AI is a term used to describe a variety of technologies referring to the creation of intelligent software or hardware able to learn and solve problems. These include machine learning, computer vision, and natural language processing (NLP), among others. AI is expected to have wide adoption in and implications for every industry vertical and is likely to be one of the next great technological shifts, like the advent of the computer age or the smartphone revolution.
AI Revolution: an increase or decrease in human labor?
Despite its potential to optimize the way many industries operate, AI is feared to replace human labor in some. The automotive and assembly, and telecom industries worldwide are predicted to undergo the biggest workforce cuts in the next three years due to the adoption of AI technologies. However, infrastructure, professional services and high-tech industries are predicted to increase their workforce sizes with the adoption of AI technologies during the same time period. This highlights the somewhat polarizing effects of AI to human jobs. In some industries, the introduction of AI greatly expedites processes and minimizes human error, which leads to the replacement of human labor. While in others, AI creates new hybrid roles where humans enable machines and AI augments human capabilities.
AI’s impacts on global economic
Despite changes in the global workforce, AI is predicted to contribute to global economic growth. A 2018 global survey estimates that AI will contribute to approximately 26.1 percent of China’s GDP in 2030, 14.5 percent of the GDP in North America, and 13.6 percent of UAE’s GDP. Some of these increases in GDP stem from improvements in productivity and product enhancements due to the adoption of AI technologies. For example, AI in the technology, media and telecommunications industry is forecast to increase global GDP in 2030 by 12.5 percent – 5.5 percent from gains associated with productivity, and 7 percent from gains associated with product enhancements.
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The UAE Geospatial Analytics Market is Segmented by Type (Surface Analysis, Network Analysis, Geovisualization), by End User Vertical ( Agriculture, Utility and Communication, Defense and Intelligence, Government, Mining and Natural Resources, Automotive and Transportation, Healthcare, Real Estate and Construction). The Market Sizes and Forecasts are Provided in Terms of Value (USD) for all the Above Segments.
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The market size of the Malaysia Artificial Intelligence Ai Market is categorized based on Application (BFSI, Manufacturing, Healthcare, Oil and Gas, Media and Advertising, Retail, Transportation and Automotive, Other) and Product (Deep Learning, Robotics, Digital Personal Assistant, Querying Method, Natural Language Processing, Context-Aware Processing) and geographical regions (North America, Europe, Asia-Pacific, South America, and Middle-East and Africa).
This report provides insights into the market size and forecasts the value of the market, expressed in USD million, across these defined segments.
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The Report Covers AI As A Service Market Analysis and It is Segmented by Type of Cloud (public, Private, Hybrid), by Organization Size (small and Medium Enterprises, Large Enterprises), by End-User Industry (BFSI, Retail, Healthcare, IT and Telecommunications, Manufacturing, Energy), and by Geography (North America, Europe, Asia-Pacific, Latin America, The Middle East, and Africa). The Market Sizes and Forecasts are Provided in Terms of Value in USD for all the Above Segments.
Report Scope:
Attribute/Metric | Details |
Market Size 2024 | 288.8 (USD Billion) |
Market Size 2025 | 406.3 (USD Billion) |
Market Size 2034 | 3819.2 (USD Billion) |
Compound Annual Growth Rate (CAGR) | 28.3% (2025 - 2034) |
Report Coverage | Revenue Forecast, Competitive Landscape, Growth Factors, and Trends |
Base Year | 2024 |
Market Forecast Period | 2025 - 2034 |
Historical Data | 2019 - 2023 |
Market Forecast Units | USD Billion |
Segments Covered | Component, Technology, Deployment Mode, Organization Size, Business Function, and Industry Vertical. |
Geographies Covered | North America, Europe, Asia Pacific, Middle East & Africa, and South America |
Countries Covered | The U.S, Canada, Mexico, Germany, France, UK, China, Japan, India, Australia, South Korea, UAE, and Brazil |
Key Companies Profiled | Advanced Micro Devices, AiCure, Arm Limited, Atomwise, Inc., Ayasdi AI LLC, Baidu, Inc., Clarifai, Inc, Cyrcadia Health, Enlitic, Inc., Google LLC, H2O.ai., HyperVerge, Inc., International Business Machines Corporation, IBM Watson Health, Intel Corporation, Iris.ai AS., Lifegraph, Microsoft, NVIDIA Corporation, Sensely, Inc., Zebra Medical Vision, Inc., and Others |
Key Market Opportunities | Growth In Ethical Ai Development To Boost Adoption Of Ai Technology Increase In Government Initiatives And Growth In Investments To Leverage AI Technology |
Key Market Dynamics | Growth Of Data-Based AI And Advancement In Deep Learning Growing Focus Towards Developing Autonomy In Robots Big Data Fueling Ai And Machine Learning Profoundly Growing Investments In Artificial Intelligence Systems |
During a July 2024 survey across 17 markets worldwide, around 52 percent of responding adults in India reported being at least somewhat more likely to buy from a company using artificial intelligence (AI) in their products or services. In the United Arab Emirates and Hong Kong, the shares reached 48 and 44 percent, respectively. Meanwhile, in Great Britain, Denmark, and the United States, it stood below 10 percent.
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The UAE cloud computing market is experiencing robust growth, driven by increasing digital transformation initiatives across various sectors, including BFSI, government, and telecom. The market's expansion is fueled by the nation's strategic focus on technological advancement, coupled with a burgeoning need for scalable, cost-effective IT solutions. Government regulations promoting digitalization and the adoption of cloud-based services further accelerate market expansion. Key drivers include the rising adoption of cloud-based services by SMEs and large enterprises alike, seeking to enhance operational efficiency and agility. The increasing prevalence of big data analytics and the Internet of Things (IoT) also contributes significantly to market growth, demanding robust and scalable cloud infrastructure. While the market is dominated by major players like AWS, Microsoft Azure, and Google Cloud, the presence of regional players and specialized cloud service providers is also notable. The competitive landscape is expected to remain dynamic, with ongoing investments in infrastructure and service offerings. The hybrid cloud model is gaining traction, balancing the benefits of public and private cloud deployments to address security and compliance concerns. Future growth will likely be influenced by factors such as cybersecurity concerns, data privacy regulations, and the continuing evolution of cloud technologies, including AI and machine learning integration. The UAE's commitment to technological innovation positions it as a key player in the Middle East's cloud computing sector. The substantial investments in digital infrastructure, combined with a favorable regulatory environment, attract substantial foreign direct investment. The country's strategic location and robust connectivity serve as further catalysts for growth. While challenges remain, such as addressing potential cybersecurity risks and ensuring data sovereignty, the overall trajectory points to sustained expansion. The focus on developing a skilled workforce capable of managing and leveraging cloud technologies is crucial to capitalizing on future growth opportunities. The continued adoption of cloud solutions across various industries signifies an ongoing and significant market expansion. The focus on vertical-specific cloud solutions tailored to meet the unique needs of sectors like healthcare and finance will further shape the competitive landscape. Recent developments include: July 2024: Du, a leading telecommunications operator in the Middle East, is launching Oracle Alloy. This initiative aims to deliver cloud and sovereign AI services to businesses, government entities, and public sector organizations across the United Arab Emirates. By leveraging Oracle Alloy, du enhances its role as a cloud provider, facilitating faster innovations with greater customization and control. Du's clientele now has access to over 100 Oracle Cloud Infrastructure (OCI) services featuring advanced AI solutions. These offerings are specifically designed to meet the diverse UAE markets and sectors' distinct needs, ensuring full compliance with local regulatory standards.April 2024: Acronis, a global leader in cybersecurity, has unveiled its Cyber Cloud Data Center in Dubai. This marks Acronis' first venture in the Middle East, highlighting the company's commitment to the region's expanding Cloud and Data Center landscape.April 2024: G42, a UAE-based AI technology holding company, has clinched a strategic investment worth USD 1.5 billion from Microsoft Corp. This partnership is set to roll out advanced Microsoft AI technologies and training programs, extending their reach from the United Arab Emirates to a global audience. To further cement this alliance, Brad Smith, Microsoft's Vice Chair and President, will be joining G42's Board of Directors.February 2024: Cisco announced the establishment of a new local cloud data center in the United Arab Emirates, dedicated to its Duo multifactor authentication (MFA) and secure access solutions. Situated in Dubai, this cloud data center is a strategic move in line with Cisco and Duo's global vision to bolster security infrastructure. The facility will be fully equipped to support Duo's sophisticated zero-trust platform, featuring MFA, single sign-on (SSO), secure remote access, device trust, password-less entry, adaptive risk-based policies, and the automated detection of malicious user behavior, all powered by Machine Learning (ML) and Artificial Intelligence (AI). Moreover, its strategic location promises to enhance performance and elevate the business user experience.. Key drivers for this market are: Robust Shift Towards Digital Transformation Across the Country, Data Privacy Concerns Are Driving Increased Adoption Of Public Cloud Services. Potential restraints include: Robust Shift Towards Digital Transformation Across the Country, Data Privacy Concerns Are Driving Increased Adoption Of Public Cloud Services. Notable trends are: Data Privacy Concerns Are Driving Increased Adoption Of Public Cloud Services.
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The UAE Artificial Organs & Bionic Implants Market is Segmented by Product (Artificial Organs and Bionics). The report offers the value (in USD) for the above segments.
By 2030, artificial intelligence was expected to contribute around 16 percent to the gross domestic product (GDP) of Morocco. In comparison, the projected AI contribution to the economy of Saudi Arabia by 2030 was forecast at approximately 12.5 percent of its GDP. Saudi Arabia’s AI landscape The Kingdom's national AI strategy aims to achieve global leadership and establish a data-driven economy. AI contribution to the GDP of Saudi Arabia was forecast to reach approximately 135 billion U.S. dollars by 2030, making the Kingdom the largest anticipated collector of the AI gains in the region. Funds received by Saudi AI companies reached 1.7 billion U.S. dollars in 2023. Nevertheless, the number of AI specialists in the country remained lower than in the neighboring United Arab Emirates, which had around 50 percent more domain specialists in 2024. AI in MENA The Middle East and North Africa hold tremendous potential for AI expansion and economic growth, with market forecasts set to reach approximately 34 billion U.S. dollars by 2030. At an organizational level, businesses are projected to double their return on investment (ROI) for applications like cloud-generative AI implementations. AI is anticipated to also contribute to the daily work of professionals, primarily helping with product creation, via providing intelligent interfaces, and by reducing administrative tasks. With the growth trends in data center investment and IT spending, AI adoption in MENA is expected to free up time for higher-level tasks like strategic thinking or problem-solving and considerably increase productivity.
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United Arab Emirates Data Center Processor Market Report is Segmented by Processor Type (CPU, GPU, FPGA, AI Accelerators), by Application (Advanced Data Analytics, AI/ML Training and Inferences, High Performance Computing, Security and Encryption, Network Functions, and Others), by Architecture (x86 and Non-X86 (ARM, Power and Other Processors), and by Data Center Type (Enterprise, Colocation and Cloud Service Providers). The Report Offers the Market Size and Forecasts for all the Above Segments in Terms of Value (USD).
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MEA AI & Cybersecurity Market is Segmented by Component (Hardware, Software, Services), End-user Industry (IT & Telecom, Retail, Public & Government Institutions, BFSI, Manufacturing, and Construction, Healthcare), Cyber Security Type (Network, Cloud, Application, End-point, Wireless Network), Big Data Analytics Type (Data Discovery & Visualization, Advanced Analytics), and Country (UAE, Saudi Arabia, Qatar, Kuwait). The market sizes and forecasts are provided in terms of value (USD million) for all the above segments.
Data Science Platform Market Size 2025-2029
The data science platform market size is forecast to increase by USD 763.9 million at a CAGR of 40.2% between 2024 and 2029.
The market is experiencing significant growth, driven by the integration of artificial intelligence (AI) and machine learning (ML). This enhancement enables more advanced data analysis and prediction capabilities, making data science platforms an essential tool for businesses seeking to gain insights from their data. Another trend shaping the market is the emergence of containerization and microservices in platforms. This development offers increased flexibility and scalability, allowing organizations to efficiently manage their projects.
However, the use of platforms also presents challenges, particularly In the area of data privacy and security. Ensuring the protection of sensitive data is crucial for businesses, and platforms must provide strong security measures to mitigate risks. In summary, the market is witnessing substantial growth due to the integration of AI and ML technologies, containerization, and microservices, while data privacy and security remain key challenges.
What will be the Size of the Data Science Platform Market During the Forecast Period?
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The market is experiencing significant growth due to the increasing demand for advanced data analysis capabilities in various industries. Cloud-based solutions are gaining popularity as they offer scalability, flexibility, and cost savings. The market encompasses the entire project life cycle, from data acquisition and preparation to model development, training, and distribution. Big data, IoT, multimedia, machine data, consumer data, and business data are prime sources fueling this market's expansion. Unstructured data, previously challenging to process, is now being effectively managed through tools and software. Relational databases and machine learning models are integral components of platforms, enabling data exploration, preprocessing, and visualization.
Moreover, Artificial intelligence (AI) and machine learning (ML) technologies are essential for handling complex workflows, including data cleaning, model development, and model distribution. Data scientists benefit from these platforms by streamlining their tasks, improving productivity, and ensuring accurate and efficient model training. The market is expected to continue its growth trajectory as businesses increasingly recognize the value of data-driven insights.
How is this Data Science Platform Industry segmented and which is the largest segment?
The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.
Deployment
On-premises
Cloud
Component
Platform
Services
End-user
BFSI
Retail and e-commerce
Manufacturing
Media and entertainment
Others
Sector
Large enterprises
SMEs
Geography
North America
Canada
US
Europe
Germany
UK
France
APAC
China
India
Japan
South America
Brazil
Middle East and Africa
By Deployment Insights
The on-premises segment is estimated to witness significant growth during the forecast period.
On-premises deployment is a traditional method for implementing technology solutions within an organization. This approach involves purchasing software with a one-time license fee and a service contract. On-premises solutions offer enhanced security, as they keep user credentials and data within the company's premises. They can be customized to meet specific business requirements, allowing for quick adaptation. On-premises deployment eliminates the need for third-party providers to manage and secure data, ensuring data privacy and confidentiality. Additionally, it enables rapid and easy data access, and keeps IP addresses and data confidential. This deployment model is particularly beneficial for businesses dealing with sensitive data, such as those in manufacturing and large enterprises. While cloud-based solutions offer flexibility and cost savings, on-premises deployment remains a popular choice for organizations prioritizing data security and control.
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The on-premises segment was valued at USD 38.70 million in 2019 and showed a gradual increase during the forecast period.
Regional Analysis
North America is estimated to contribute 48% to the growth of the global market during the forecast period.
Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
For more insights on the market share of various regions, Request F
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Market Analysis of United Arab Emirates Data Center Cooling Market The United Arab Emirates data center cooling market is forecasted to exhibit a remarkable growth trajectory, expanding at a CAGR of 19.80% from 2025 to 2033. This growth is attributed to the increasing demand for data center infrastructure driven by the proliferation of digital technologies, cloud computing, and artificial intelligence. The market is projected to reach a significant value of 88.30 million units by 2033. Key market drivers include the rising need for efficient cooling solutions to manage the heat generated by high-performance computing and server virtualization. Additionally, the growing adoption of hyperscale data centers, which require specialized cooling technologies, is further fueling market growth. Moreover, government initiatives to promote data center investments and the development of smart cities are creating favorable conditions for market expansion. The market is characterized by the presence of global technology giants such as Johnson Controls International PLC, Asetek A/S, Schneider Electric SE, and Emerson Electric Co., among others. Recent developments include: March 2024: German heat exchanger manufacturer Kelvion and US immersion cooling company Rosseau partnered to deliver enhanced immersion cooling solutions for the high-performance computing (HPC) market., January 2024: Data center firm Aligned launched a new liquid cooling system called DeltaFlow. The liquid cooling technology supports high-density computing requirements and supercomputers and can cool up to 300 kW per rack density. The new DeltaFlow system works simultaneously with Aligned’s air-cooled Delta technology, enabling no change in power delivery or existing data hall temperatures.. Key drivers for this market are: Increasing Trend of High-Performance Computing across Europe, Growing Rack Power Density. Potential restraints include: High Initial Investments. Notable trends are: IT & Telecom is Expected to Have Significant Market Share.
In 2019, the United Arab Emirates reached a total digital readiness score of 16.42 out of 25, indicating that the country is in the Amplify stage. This stage includes countries that have made significant advances in their digital journey. The digital readiness score measures seven key components that enhance the country’s digital journey.
UAE digitalization journey
The UAE is on track in transforming into a knowledge-based economy, by recognizing the importance of digitization, and the role of information and communication technologies in digitalizing the economy. This has been a work in progress since 2000 when Dubai Internet City (DIC) was established. The national strategy ever since was focused on transforming the country digitally with the support and motivation of their national leaders and clarity of the multiple strategies that have been set into place, many of which have come to fruition. Those strategies included the UAE Artificial Intelligence Strategy 2031, the Emirates Blockchain Strategy 2021, the UAE National Innovation Strategy, the UAE National Strategy for Higher Education 2030, and the UAE Centennial 2071 Plan. Globally, blockchain technologies were mostly used for digital currencies, and data access and sharing in 2020.
How the UAE ranks globally
The UAE today provides multiple services online and as a result, the UAE was ranked 6th globally in the online services index and 17th in the e-participation index according to the UN’s E-Government Development Index 2018 covering 193 countries. In 2020, the UAE was one of the top ten most competitive countries worldwide. With its digital vision, the UAE has announced its aspiration to go beyond the region and compete at a global level. The largest digital technology investments in the MENA region in 2018 were in the transactional business models, with a value exceeding two billion U.S. dollars.
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Technology Application Areas:Transmission: Monitoring and control of high-voltage power linesCommunication Technology: Data transfer and synchronization between grid componentsAdvanced Metering Infrastructure (AMI): Smart meters for real-time energy consumption measurementOther Technology Application Areas: Distributed generation, microgrids, energy storage Recent developments include: August 2022: DEWA announced software to augment its electricity distribution network. The software is dedicated to the Smart Design of Electricity Distribution Networks (SDEDNs), which will merge databases and electric network designs (11kV) through developed solutions. This will help network engineers to design a more effective and effective network., August 2022: DEWA announced the use of Artificial Intelligence (AI) to predict malfunctions of smart meters. The "iService" of DEWA tracks meter tampering and fraud detection and offers real-time insights about the existing state of the network.. Key drivers for this market are: Supportive Government Policies, Growing Demand for Heating and Cooling Systems. Potential restraints include: Adoption of Alternative Clean Energy Sources Like Solar and Wind. Notable trends are: Advanced Metering Infrastructure to Witness a Significant Growth.
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Explore the U.S. approval to export advanced AI chips to UAE, fostering trade and tech collaboration with Microsoft's local facility and Emirati AI firm G42.
Machine learning has the highest revenue in the United Arab Emirates' AI market, at about 420.97 million U.S. dollars in 2024. Contrastingly, AI Robotics is ranked last, with 63.1 million U.S. dollars. Their difference, compared to machine learning, lies at 357.87 million U.S. dollars.