Artificial Intelligence
Synthetic Data Generation Market worth $2.1 billion by 2028, growing at a CAGR of 45.7% Report by MarketsandMarkets™
Chicago, July 05, 2023 (GLOBE NEWSWIRE) — The global Synthetic Data Generation Market size to grow from USD 0.3 billion in 2023 to USD 2.1 billion by 2028, at a Compound Annual Growth Rate (CAGR) of 45.7% during the forecast period , according to a new report by MarketsandMarkets™. The growth of the synthetic data generation market can be attributed to several factors, including increasing concerns about data privacy and security. Also, the cost-effectiveness and time efficiency of generating synthetic data compared to collecting and labeling real-world data will drive the market’s growth.
Browse in-depth TOC on “Synthetic Data Generation Market“
269 – Tables
45 – Figures
372 – Pages
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Scope of the Report
| Report Metrics | Details |
| Market size available for years | 2019 – 2028 |
| Base year considered | 2022 |
| Forecast period | 2023-2028 |
| Forecast units | Value (USD Billion) |
| Segments Covered | Offering (Solution/ Platform and Services), Data Type (Tabular, Text, Image and Video, Others), Application ( AI/ML Training and Development, Test Data Management, Data analytics & visualization, Enterprise Data Sharing, Others), Vertical (Banking, Financial Services, and Insurance, Healthcare & Life sciences, Automotive & Transportation, Government & Defense, IT and ITeS, Manufacturing, Other Verticals) and Region |
| Regions covered | North America, Europe, Asia Pacific, Middle East & Africa, and Latin America |
| Companies covered | Microsoft (US), Google (US), IBM (US), AWS (US), NVIDIA (US), OpenAI (US), Informatica (US), Broadcom (US), Sogeti (France), Mphasis (India), Databricks (US), MOSTLY AI (Austria), Tonic (US), MDClone (Israel) TCS (India), Hazy (UK), Synthesia (UK), Synthesized (UK), Facteus (US), Anyverse (Spain), Neurolabs (Scotland), Rendered.ai (US), Gretel (US), OneView (Israel), GenRocket (US), YData (US), CVEDIA (UK), Syntheticus (Switzerland), AnyLogic (US), Bifrost AI (US), Anonos (US) |
Synthetic data is information generated on a computer to augment or replace real data to improve AI models, protect sensitive data, and mitigate bias. Synthetic data allows businesses to address concerns about data privacy and security by generating realistic and representative data without exposing sensitive information. Generating synthetic data is often more cost-effective and time-efficient than collecting and labeling real-world data. It eliminates the need for extensive data collection processes, reducing costs and accelerating development timelines.
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Synthetic data enables businesses to generate large volumes of diverse datasets, providing more comprehensive coverage of scenarios and use cases. This scalability and diversity are valuable for training and testing machine learning models. Synthetic data enables businesses to create datasets tailored to specific applications or edge cases that may be challenging to capture with real-world data. This customization helps improve model performance, accuracy, and generalization capabilities.
By data type, text data to segment to record the highest growth rate during the forecast period
By data type, the text data segment has the highest growth rate during the forecast period. The increased demand for artificial intelligence (AI) and machine learning (ML) applications requires large amounts of data to train and develop models, thus driving the text data segment.
Among applications, the Test data management segment recorded the second-highest market share during the forecast period.
Under the applications segment, the Test data management segment is expected to have the second-highest market share during the forecast period. The need for high-quality, diverse, and representative data for testing and validation purposes will drive the segment. Businesses can enhance the effectiveness and efficiency of their testing processes using synthetic data leading to improved product quality, faster time-to-market, and reduced costs associated with traditional test data management approaches.
Top Trends in Global Synthetic Data Generation Market
- rising need for data that protects privacy Organisations are looking for strategies to preserve sensitive data while still being able to build and test their algorithms and models as data privacy legislation and concerns increase. Synthetic data production offers a practical answer by producing artificial data devoid of any personally identifiable information (PII) but retaining the statistical characteristics of real data.
- The demand for high-quality training data has increased as a result of the expansion of AI and machine learning applications across numerous industries. Combining synthetic data creation methods with AI algorithms can produce a variety of large-scale datasets that can be used to more efficiently train and evaluate AI models.
- Deep learning methods, such variational autoencoders (VAEs) and generative adversarial networks (GANs), have demonstrated considerable promise for producing synthetic data that is as realistic as possible. These techniques enable the development of more precise synthetic datasets by capturing complicated patterns and connections found in real data.
- Many various businesses, including healthcare, banking, retail, and autonomous driving, are finding uses for synthetic data generation. Each sector has specific data needs, and by customizing synthetic data to mirror the traits and distributions of the target domain, it is possible to design and test AI systems more successfully.
- Data providers and AI firms are collaborating and forming partnerships to address the rising need for high-quality synthetic data. In order to create more specialized and tailored synthetic data solutions, data suppliers contribute their skills in creating synthetic datasets, and AI businesses add their subject expertise and understanding of particular industry demands.
Key Industry Development
- Healthcare, banking, retail, automotive, and cybersecurity are just a few of the areas that have seen a surge in their use of synthetic data generation. The market has grown dramatically as businesses realize the value of synthetic data in addressing privacy issues and improving data analytics.
- Partnerships and collaborations between data providers, AI firms, and industry-specific organizations have increased in order to speed innovation and address the varying needs of many industries. These partnerships seek to give specialized synthetic data solutions by fusing domain knowledge, domain experience, and knowledge of data generating methodologies.
- Deep learning methods have advanced and improved the production of realistic synthetic data, including generative adversarial networks (GANs) and variational autoencoders (VAEs). To improve the quality and diversity of synthetic datasets, researchers and practitioners have been actively investigating new architectures and techniques.
- There have been efforts made towards standardization in order to create benchmarks and guarantee the calibre of synthetic data generating techniques. To encourage transparency and comparability among various techniques, organizations and academic communities have been focusing on establishing evaluation metrics, creating benchmark datasets, and exchanging best practices.
- The moral ramifications of creating synthetic data have drawn more attention. Concerns about biases, fairness, and potential exploitation of synthetic data must be addressed as the usage of synthetic data increases. To ensure responsible use and guard against unforeseen consequences, legal frameworks and regulations are being created.
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Artificial Intelligence
Cognitive Security Market Projected to Reach $134.26 billion by 2030 – Exclusive Report by 360iResearch
PUNE, India, April 26, 2024 /PRNewswire/ — The report titled “Cognitive Security Market by Component (Services, Solutions), Security Type (Application, Cloud, Cybersecurity), Application, Deployment Mode, Enterprise Type, Vertical – Global Forecast 2024-2030” is now available on 360iResearch.com’s offering, presents an analysis indicating that the market projected to grow from a size of $19.50 billion in 2023 to reach $134.26 billion by 2030, at a CAGR of 31.73% over the forecast period.
“The Global Rise of Cognitive Solutions Against Cyber Threats”
The field of cognitive security, leveraging the latest in artificial intelligence (AI), machine learning (ML), and data analytics, is reshaping the way physical and digital assets are protected from cyber threats. This innovative approach learns from user interactions with systems and data, enabling real-time threat detection and a more dynamic defense strategy. Across industries, including finance, healthcare, retail, and government, cognitive security applications, such as fraud detection and cyber defense, are becoming vital in navigating the complex threat landscape. Challenges in integrating with older systems and opportunities include advancements in AI and technology. Globally, the cognitive security market is witnessing rapid growth, driven by high American demand and significant investments in the Asia-Pacific region. In Europe, stringent regulations such as GDPR drive the demand for compliant solutions, while in the Middle East and Africa, the expanding telecom sector highlights the need for robust cybersecurity measures. This global momentum highlights the critical role of cognitive security in an interconnected world, ensuring businesses and governments can overcome cyber threats.
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“The Essential Role of Cognitive Security in Today’s Digital Age”
As digital transformation reshapes industries, the surge in data generation and intricate data management challenges have outpaced traditional cyber defense mechanisms. Cognitive security adept at processing and analyzing vast arrays of data in real-time, uncovering patterns and anomalies indicative of cybersecurity threats. This advanced approach enables proactive threat detection and swift response measures, significantly mitigating the risks of data breaches and cyber incidents. Cognitive security solutions adeptly handle diverse data types at unparalleled speeds, offering insights typically elusive to manual analysis by harnessing the power of automation. These systems excel at unveiling sophisticated attacks, skillfully hidden within normal network activities, and continuously evolve through machine learning. This perceptual adaptation is vital in a landscape where cyber threats rapidly transform, and digitalization ushers in new vulnerabilities. Cognitive security is a staunch supporter for organizations, ensuring their security policies remain in lockstep with the ever-evolving cyber threat environment and regulatory demands, thus fortifying digital defenses in an increasingly connected world.
“Enhancing Digital Security through Advanced Cognitive Technologies”
In an era where cyber threats are constantly evolving, the importance of robust digital security mechanisms cannot be overstated. The approach encompasses a suite of essential services that ensure the effective operation and continuous improvement of cognitive security systems. These include the meticulous deployment and integration of these systems into existing organizational structures, ensuring they work seamlessly with current technologies and protocols. Ongoing support and maintenance to keep these systems at the forefront of cyber defense, alongside training and consulting to empower staff with the knowledge and skills needed to optimize these advanced security solutions. Cutting-edge technologies include biometric recognition, digital signature authentication, real-time security analytics, and a unified platform managing security logs and data. Each component is vital role in creating a secure digital environment that identifies threats and enables swift, informed responses to protect organizational assets and data.
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“International Business Machines Corporation at the Forefront of Cognitive Security Market with a Strong 8.44% Market Share”
The key players in the Cognitive Security Market include Google LLC by Alphabet Inc., Microsoft Corporation, Fortinet, Inc., International Business Machines Corporation, Cisco Systems, Inc., and others. These prominent players focus on strategies such as expansions, acquisitions, joint ventures, and developing new products to strengthen their market positions.
“Introducing ThinkMi: Revolutionizing Market Intelligence with AI-Powered Insights for the Cognitive Security Market”
We proudly unveil ThinkMi, a cutting-edge AI product designed to transform how businesses interact with the Cognitive Security Market. ThinkMi stands out as your premier market intelligence partner, delivering unparalleled insights with the power of artificial intelligence. Whether deciphering market trends or offering actionable intelligence, ThinkMi is engineered to provide precise, relevant answers to your most critical business questions. This revolutionary tool is more than just an information source; it’s a strategic asset that empowers your decision-making with up-to-the-minute data, ensuring you stay ahead in the fiercely competitive Cognitive Security Market. Embrace the future of market analysis with ThinkMi, where informed decisions lead to remarkable growth.
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“Dive into the Cognitive Security Market Landscape: Explore 192 Pages of Insights, 760 Tables, and 28 Figures”
PrefaceResearch MethodologyExecutive SummaryMarket OverviewMarket InsightsCognitive Security Market, by ComponentCognitive Security Market, by Security TypeCognitive Security Market, by ApplicationCognitive Security Market, by Deployment ModeCognitive Security Market, by Enterprise TypeCognitive Security Market, by VerticalAmericas Cognitive Security MarketAsia-Pacific Cognitive Security MarketEurope, Middle East & Africa Cognitive Security MarketCompetitive LandscapeCompetitive PortfolioInquire Before Buying @ https://www.360iresearch.com/library/intelligence/cognitive-security
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Cognitive Radio Market – Global Forecast 2024-2030Cognitive Electronic Warfare System Market – Global Forecast 2024-2030Cognitive Data Management Market – Global Forecast 2024-2030About 360iResearch
Founded in 2017, 360iResearch is a market research and business consulting company headquartered in India, with clients and focus markets spanning the globe.
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Our clientele encompasses about 80% of the Fortune Global 500, and leading consulting and research companies and academic institutions that rely on our expertise in compiling data in niche markets. Our meta-insights are intelligent, impactful and infinite, and translate into actionable data that support your quest for enhanced profitability, tapping into niche markets, and exploring new revenue opportunities.
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Artificial Intelligence
IBM, Government of Canada, Government of Quebec Sign Agreements to Strengthen Canada’s Semiconductor Industry
Up to $187M CAD to be invested to progress expansion of chip packaging capacity and capabilities and to strengthen R&D at IBM Canada’s Bromont plant
BROMONT, QC, April 26, 2024 /PRNewswire/ — IBM (NYSE: IBM), the Government of Canada, and the Government of Quebec today announced agreements that will strengthen Canada’s semiconductor industry, and further develop the assembly, testing and packaging (ATP) capabilities for semiconductor modules to be used across a wide range of applications including telecommunications, high performance computing, automotive, aerospace & defence, computer networks, and generative AI, at IBM Canada’s plant in Bromont, Quebec. The agreements reflect a combined investment valued at approximately $187M CAD.
“Today’s announcement is a massive win for Canada and our dynamic tech sector. It will create high-paying jobs, invest in innovation, strengthen supply chains, and help make sure the most advanced technologies are Canadian-made. Semiconductors power the world, and we’re putting Canada at the forefront of that opportunity,” said the Right Honourable Justin Trudeau, Prime Minister of Canada
In addition to the advancement of packaging capabilities, IBM will be conducting R&D to develop methods for scalable manufacturing and other advanced assembly processes to support the packaging of different chip technologies, to further Canada’s role in the North American semiconductor supply chain and expand and anchor Canada’s capabilities in advanced packaging.
The agreements also allow for collaborations with small and medium-sized Canadian-based enterprises with the intent of fostering the development of a semiconductor ecosystem, now and into the future.
“IBM has long been a leader in semiconductor research and development, pioneering breakthroughs to meet tomorrow’s challenges. With the demand for compute surging in the age of AI, advanced packaging and chiplet technology is becoming critical for the acceleration of AI workloads,” said Darío Gil, IBM Senior Vice President and Director of Research. “As one of the largest chip assembly and testing facilities in North America, IBM’s Bromont facility will play a central role in this future. We are proud to be working with the governments of Canada and Quebec toward those goals and to build a stronger and more balanced semiconductor ecosystem in North America and beyond.”
IBM Canada’s Bromont plant is one of North America’s largest chip assembly and testing facilities, having operated in the region for 52 years. Today, the facility transforms advanced semiconductor components into state-of-the-art microelectronic solutions, playing a key role in IBM’s semiconductor R&D leadership alongside IBM’s facilities at the Albany NanoTech Complex and throughout New York’s Hudson Valley. These agreements will help to further establish a corridor of semiconductor innovation from New York to Bromont.
“Advanced packaging is a crucial component of the semiconductor industry, and IBM Canada’s Bromont plant has led the world in this process for decades,” said Deb Pimentel, president of IBM Canada. “Building upon IBM’s 107-year legacy of technology innovation and R&D in Canada, the Canadian semiconductor industry will now become even stronger, allowing for robust supply chains and giving Canadians steady access to even more innovative technologies and products. This announcement represents just one more example of IBM’s leadership and commitment to the country’s technology and business landscape.”
Chip packaging, the process of connecting integrated circuits on a chip or circuit board, has become more complex as electronic devices have shrunk and the components of chips themselves get smaller and smaller. IBM announced the world’s first 2 nanometer chip technology in 2021 and, as the semiconductor industry moves towards new methods of chip construction, advances in packaging will grow in importance.
“Semiconductors are part of our everyday life. They are in our phones, our cars, and our appliances. Through this investment, we are supporting Canadian innovators, creating good jobs, and solidifying Canada’s semiconductor industry to build a stronger economy. Canada is set to play a larger role in the global semiconductor industry thanks to projects like the one we are announcing today. Because, when we invest in semiconductor and quantum technologies, we invest in economic security.” — The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry
“This investment by IBM in Bromont will ensure that Quebec continues to stand out in the field of microelectronics. An increase in production capacity will solidify Quebec’s position in the strategic microelectronics sector in North America.” — The Honourable Pierre Fitzgibbon, Minister of Economy, Innovation and Energy, Minister responsible for Regional Economic Development and Minister responsible for the Metropolis and the Montreal region
About IBMIBM 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 semiconductors, 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 legendary commitment to trust, transparency, responsibility, inclusivity and service. Visit www.ibm.com for more information.
Media ContactLorraine BaldwinIBM [email protected]
Willa HahnIBM [email protected]
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Artificial Intelligence
HITACHI ACQUIRES MA MICRO AUTOMATION OF GERMANY IN EFFORT TO ACCELERATE GLOBAL EXPANSION OF ROBOTIC SI BUSINESS IN THE MEDICAL AND OTHER FIELDS
HOLLAND, Mich., April 26, 2024 /PRNewswire/ — Hitachi Ltd. (TSE: 6501, “Hitachi”) has signed a stock purchase agreement on April 26 to acquire all shares of MA micro automation GmbH (“MA micro automation”, headquartered in St. Leon-Rot, Germany) from MAX Management GmbH (a subsidiary of MAX Automation SE). MA micro automation is a leading provider of robotic and automation technology (robotic SI) including high-speed linear handling systems, high-precision assembly lines, and high-speed vision inspection technology for Europe, North America, and Southeast Asia, for EUR 71.5M million. The transaction is expected to close in the second half of 2024, pending completion of the customary regulatory filings. After the acquisition is completed, MA micro automation will join JR Automation Technologies, LLC (“JR Automation”), a market leader in providing advanced automation solutions and digital technologies in the robotic system integration business for North America, Europe, and Southeast Asia as a continued effort to expand the company’s global presence.
MA micro automation is a technology leader for automation solutions within micro-assembly. Through its state-of-the-art proprietary high-speed and high-precision automation know-how, combined with unique optical image inspection capabilities, MA micro automation serves high-growth med-tech automation end-markets, covering the production, assembly, and testing medical and optical components including contact lenses, IVD and diabetes diagnostics consumables, and injection molding for medical use. The company was established in 2003 through a carve-out from Siemens*1 and since 2013 has been part of the MAX Automation group.
JR Automation is a leading provider of intelligent automated manufacturing technology solutions, serving customers across the globe in a variety of industries including automotive, life sciences, e-mobility, consumer and industrial products. With over 20 locations between North America, Europe, and Southeast Asia, the leading integrator offers nearly 2 million square feet (185,806 sq. m) of available build and engineering floorspace. This acquisition allows JR Automation to further grow and strengthen both the company’s geographical footprint and their continued commitment on expanding support capabilities within the European region and medical market vertical.
“MA micro automation provides engineering, build and support expertise with established capabilities in complex vision applications, high-speed and high-precision automation technologies. When integrated with JR Automation’s uniform global process and digital technologies, this partnership will further enhance our ability to deliver added value and support to all of our customers worldwide and continue to grow our capabilities in the medical market,” says Dave DeGraaf, CEO of JR Automation. “As we integrate this new dimension, impressive talents and abilities of the MA micro automation team we further enhance our ability to serve our customers, creating a more robust and globally balanced offering.”
With this acquisition, Hitachi aims to further enhance its ability to provide a “Total Seamless Solution*2” to connect manufacturer’s factory floors seamlessly and digitally with their front office data, allowing them to achieve total optimization and bringing Industry 4.0 to life. This “Total Seamless Solution” strategy links organizations’ operational activities such as engineering, supply chain, and purchasing to the plant floor and allows for real time, data-driven decision-making that improves the overall business value for customers.
Kazunobu Morita, Vice President and Executive Officer, CEO of Industrial Digital Business Unit, Hitachi, Ltd. says, “We are very pleased to welcome MA micro automation to the Hitachi Group. The team is based in Europe, providing robotic SI to global medical device manufacturing customers with its high technological capabilities and will join forces with JR Automation and Hitachi Automation to strengthen our global competitiveness. Hitachi aims to enhance its ability to provide value to customers and grow alongside them by leveraging its strengths in both OT, IT, including robotic SI, and “Total Seamless Solution” through Lumada*3’s customer co-creation framework.”
Joachim Hardt, CEO MA micro automation GmbH says, “Following the successful establishment and growth of MA micro automation within the attractive automation market for medical technology products, we are now opening a new chapter. Our partnership with Hitachi will not only strengthen our global competitive position, but we will also benefit from joint technological synergies and a global market presence. We look forward to a synergistic partnership with Hitachi and JR Automation.”
Outline of MA micro automation
Name
MA micro automation GmbH
Head Office
St. Leon-Rot, Germany
Representative
Joachim Hardt (CEO)
Outline of Business
Automation solutions within micro-assembly
Total no. of Employees:
Approx. 200 (As of April 2024)
Founded
2003
Revenues (2023)
€ 46.5 million
Website
*1
“Siemens” is a registered trademark or trademark of Siemens Trademark GmbH & Co. KG in the U.S. and other countries.
*2
“Total Seamless Solution” is a registered trademark of Hitachi, Ltd. in the U.S. and Japan.
*3
Lumada: A collective term for solutions, services and technologies based on Hitachi’s advanced digital technologies for creating value from customers’ data accelerating digital innovation. https://www.hitachi.com/products/it/lumada/global/en/index.html
About JR AutomationEstablished in 1980, JR Automation is a leading provider of intelligent automated manufacturing technology solutions that solve customers’ key operational and productivity challenges. JR Automation serves customers across the globe in a variety of industries, including automotive, life sciences, aerospace, and more.
In 2019, JR Automation was acquired by Hitachi, Ltd. In a strategic effort towards offering a seamless connection between the physical and cyber space for industrial manufacturers and distributers worldwide. With this partnership, JR Automation provides customers a unique, single-source solution for complete integration of their physical assets and data information, offering greater speed, flexibility, and efficiencies towards achieving their Industry 4.0 visions. JR Automation employs over 2,000 people at 21 manufacturing facilities in North America, Europe, and Asia. For more information, please visit www.jrautomation.com.
About Hitachi, Ltd.Hitachi drives Social Innovation Business, creating a sustainable society through the use of data and technology. We solve customers’ and society’s challenges with Lumada solutions leveraging IT, OT (Operational Technology) and products. Hitachi operates under the 3 business sectors of “Digital Systems & Services” – supporting our customers’ digital transformation; “Green Energy & Mobility” – contributing to a decarbonized society through energy and railway systems, and “Connective Industries” – connecting products through digital technology to provide solutions in various industries. Driven by Digital, Green, and Innovation, we aim for growth through co-creation with our customers. The company’s revenues as 3 sectors for fiscal year 2023 (ended March 31, 2024) totaled 8,564.3 billion yen, with 573 consolidated subsidiaries and approximately 270,000 employees worldwide. For more information on Hitachi, please visit the company’s website at https://www.hitachi.com.
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