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Embedded AI Market worth $18.0 billion by 2028 – Exclusive Report by MarketsandMarkets™

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CHICAGO, June 22, 2023 /PRNewswire/ — Because of rising demand for smart devices and IoT, advancements in AI technology, the rise of edge computing, the development of autonomous systems, applications across various sectors, miniaturisation and energy efficiency, and the importance of data privacy and security, the future of the Embedded AI market appears promising. As AI becomes an intrinsic aspect of embedded systems, boosting their functionality and decision-making skills, this industry is likely to increase significantly.
The global Embedded AI Market is projected to grow from USD 9.4 billion in 2023 to USD 18.0 billion by 2028 at a compound annual growth rate (CAGR) of 14.0% during the forecast period, according to a new report by MarketsandMarkets™. The Embedded AI Market is expected to grow significantly during the forecast period, owing to various business drivers like growing demand for intelligent and autonomous systems for a personalized experience and increasing advancements in AI and ML technologies for better and smart decisions. Furthermore, the proliferation of connected devices and IoT ecosystem for effective communications and the rising usage of Embedded AI for industry-specific applications drive market growth.
Browse in-depth TOC on “Embedded AI Market”271 – Tables 55 – Figures320 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2017–2028
Base year considered
2022
Forecast period
2023–2028
Forecast units
USD (Billion)
Segments covered
Offering, Data Type, Vertical, and Region
Geographies covered
North America, Asia Pacific, Europe, the Middle East & Africa, and Latin America
Companies covered
Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (Netherlands), Lattice (Oregon), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), Au-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
By offering, Services to register for the highest CAGR during the forecast period
The scope of the services segment comprises training and consulting, system integration and implementation, and support and maintenance. The services segment of the Embedded AI Market is growing rapidly as businesses increasingly look to outsource the development and deployment of AI solutions. This is due to a number of factors, including the complexity of developing AI-powered applications, the need for specialized expertise, and the high cost of in-house development. Businesses looking to adopt AI should consider the services segment as a viable option for developing and deploying AI solutions.
By data type, numeric data to register for the highest market size during the forecast period
The increasing demand for real-time data processing and analysis boosts the demand for numeric data type in the Embedded AI Market. Numeric data plays a crucial role in the Embedded AI Market, forming the foundation for training, optimizing, and deploying AI models on embedded systems. Numeric data captured by sensors, cameras, or other sources in real-time serves as input to the deployed AI models, allowing them to process the data and generate actionable outputs promptly. This is crucial for robotics, autonomous vehicles, or industrial automation applications, where quick decision-making is required.
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By region, Asia Pacific to account for the highest growth rate during the forecast period
Embedded AI adoption in the Asia Pacific region is experiencing significant growth. It is driven by several factors, including the region’s strong manufacturing base, rapid urbanization, increasing demand for IoT applications, and advancements in AI technologies. With strong government support, a thriving startup ecosystem, and investments in AI infrastructure, the Asia Pacific market presents significant growth opportunities for Embedded AI technologies and solutions.
Top Key Companies in Embedded AI Market:
Some major players in the Embedded AI Market include Google (US), IBM (US), Microsoft (US), AWS (US), NVIDIA (US), Intel (US), Qualcomm (US), Arm (UK), AMD (US), MediaTek (Taiwan), Oracle (US), Salesforce (US), NXP (The Netherlands), Lattice (US), Octonion (Switzerland), NeuroPace (US), Siemens (Germany), HPE (US), LUIS Technology (Germany), Code Time Technologies (Canada), HiSilicon (China), VectorBlox (Canada), AU-Zone Technologies (Canada), STMicroelectronics (Switzerland), SenseTime (Hong Kong), Edge Impulse (US), Perceive (US), Eta Compute (US), SensiML (US), Syntiant (US), Graphcore (UK), and SiMa.ai (US).
Recent Developments:
In April 2023, IBM announced the launch of Watson Edge for Financial Services, a solution that helps financial institutions deploy AI at the edge to improve customer service, fraud detection, and risk management.In April 2023, Qualcomm Technologies partnered with eInfochips, an Arrow company, to launch Edge Labs. Edge Labs is a program that will help developers and innovators accelerate the development and deployment of AI applications for embedded devices. This partnership will help developers and innovators accelerate developing and deploying AI applications for embedded devices. Edge Labs will provide developers with access to Qualcomm’s expertise in AI and eInfochips’ development and deployment services.In March 2023, Arm partnered with Google Cloud to bring Arm-based solutions to the Google Cloud Platform (GCP). The partnership is expected to help Arm customers take advantage of GCP’s AI and machine learning capabilities and to help Google Cloud customers deploy Arm-based solutions.In March 2023, IBM acquired Instana, an application performance monitoring software provider. The acquisition will help IBM to expand its edge AI capabilities and provide customers with a more comprehensive view of their applications.In March 2023, the AI-powered tool has been designed to assist Microsoft 365 users in performing various tasks, such as troubleshooting, training, and onboarding. Microsoft 365 Copilot, as an embedded AI technology, is integrated within a broader software ecosystem and has been created to function seamlessly with other Microsoft 365 products and services.In October 2022, Intel partnered with Amazon Web Services (AWS) to bring Intel-based solutions to AWS. The partnership is expected to help Intel customers use AWS’s AI and machine learning capabilities to help AWS customers deploy Intel-based solutions.In June 2022, Microsoft announced a partnership with NVIDIA to accelerate the development and deployment of edge AI applications. The partnership will combine Microsoft’s Azure platform with NVIDIA’s AI hardware and software to create a more comprehensive solution for edge computing.In Jan 2022, IBM partnered with Google Cloud to accelerate the development and deployment of edge AI applications. The partnership will combine IBM’s AI and ML expertise with Google Cloud’s infrastructure and AI capabilities.Inquiry Before Buying @ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=261207150
Embedded AI Market Advantages:
Sensitive data no longer needs to be sent to external servers or the cloud for processing thanks to embedded AI. Data can be maintained on the device or on a private network by performing AI computations locally, boosting privacy and lowering the possibility of data breaches or unauthorised access. For applications that deal with sensitive data, such those in healthcare or banking, this is essential.Data communication to remote servers is not necessary because embedded AI processes data on the device itself. This allows for quicker response times and considerably lowers latency. When compared to conventional computing architectures, embedded AI also enables optimised hardware-software integration by utilising specialised chips or accelerators to achieve improved speed and energy efficiency.By incorporating AI capabilities directly into devices, no additional infrastructure or cloud-based resources are required. This saves operational costs while simplifying deployment. Furthermore, because the intelligence is dispersed across several devices rather than depending on a centralised server architecture, embedded AI systems grow readily. Because of its scalability and low cost, embedded AI is an appealing solution for both small-scale and large-scale deployments.Embedded AI enables edge devices to make intelligent decisions on their own without relying on ongoing contact with central servers. This provides edge intelligence and autonomy, allowing devices to analyse and respond to data locally, resulting in faster and more efficient operations. Edge intelligence is especially useful in settings requiring real-time judgements, such as autonomous drones or smart manufacturing.By analysing data locally and customising the experience to each user’s preferences and behaviours, embedded AI can enhance user interactions. This makes it possible for devices to offer personalised recommendations, predictive ideas, and customised interactions, improving user engagement and pleasure.Through resource management and local computing, embedded AI systems can reduce their overall energy usage. Embedded AI devices can work effectively with lower energy requirements by minimising the need for data transmission and decreasing dependency on power-hungry cloud servers. For devices like wearables or IoT sensors that run on batteries or have limited resources, this is especially advantageous.Devices with inbuilt AI may carry out complicated calculations locally without largely relying on cloud resources or constant network connectivity. As a result, embedded AI solutions are more readily available and reasonably priced for both organisations and consumers. This decreases network dependence and associated costs. It also makes applications possible in rural or unconnected settings where cloud connectivity can be expensive or scarce.Report Objectives
To define, describe, and predict the Embedded AI Market by offering (hardware, software, and services), data type, vertical, and regionTo provide detailed information related to major factors (drivers, restraints, opportunities, and industry-specific challenges) influencing the market growthTo analyze the micro markets with respect to individual growth trends, prospects, and their contribution to the total marketTo analyze the opportunities in the market for stakeholders by identifying the high-growth segments of the Embedded AI MarketTo analyze opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments for five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile key players and comprehensively analyze their market rankings and core competenciesTo analyze competitive developments, such as partnerships, new product launches, and mergers and acquisitions, in the Embedded AI MarketTo analyze the impact of recession across all the regions across the Embedded AI MarketBrowse Adjacent Markets: Artificial Intelligence (AI) Market Research Reports & Consulting
Related Reports:
AI as a Service Market – Global Forecast to 2028
NLP in Education Market – Global Forecast to 2028
Text to Video AI Market – Global Forecast to 2027
Artificial Intelligence Market – Global Forecast to 2027
Cognitive Computing Market- Global Forecast to 2025
About MarketsandMarkets™ 
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact:Mr. Aashish MehraMarketsandMarkets™ INC. 630 Dundee Road Suite 430 Northbrook, IL 60062 USA: +1-888-600-6441 Email: [email protected] Research Insight: https://www.marketsandmarkets.com/ResearchInsight/embedded-ai-market.asp Visit Our Website: https://www.marketsandmarkets.com/ Content Source: https://www.marketsandmarkets.com/PressReleases/embedded-ai.asp
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How AIoT shapes the future of mobility: Hikvision at ITS World Congress 2024

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HANGZHOU, China, Sept. 27, 2024 /PRNewswire/ — Hikvision made a significant impact at the ITS World Congress in Dubai with its captivating theme, “Embrace AIoT for safer, smarter, and greener mobility.” Its booth became a hub of innovation, where visitors explored AIoT solutions that are reshaping the transportation landscape, sparking deep conversations on the future of urban mobility.

Road safety revolution: harnessing AIoT for secure transportation
Hikvision’s commitment to road safety was on full display at its booth through the impressive array of AIoT solutions designed to create secure and reliable traffic environments. The company’s technology provides 24/7 traffic monitoring, ensuring continuous oversight of motor vehicles, non-motorized vehicles, pedestrians and environmental factors. This comprehensive, real-time information collection enables traffic managers to prevent accidents and enhance road safety. Among the showcased products was the 20 MP IR ANPR Checkpoint Capture Unit, renowned for its high-definition capture capabilities, bolstering traffic safety measures.
A standout innovation was the integration of advanced radar and camera technologies, ensuring uninterrupted, comprehensive detection even in adverse weather conditions. The Radar-Video Fusion Incident Detection Cameras, featured prominently in the product experience area, enable early detection and warning of potential hazards. They are particularly effective in challenging situations such as curved roads, blind spots at intersections, and obstacles beyond visual range.
Attendees also engaged with onboard monitoring products on the simulated bus, including dome network cameras, which is designed to enhance passenger safety. Driving assistance products, such as the Driver Status Monitor (DSM), were demonstrated to mitigate unsafe driving behaviors and ensure safer journeys.
Urban mobility redefined: smart traffic innovations
In the realm of smarter mobility, Hikvision showcased its multidimensional sensing technology, which integrates visible light sensors, infrared sensors, radar, and sonar. This technology expands perception capabilities, significantly improving traffic management and situational awareness. The use of AI-powered comprehensive sensing elevates incident monitoring and violation detection to unprecedented levels of accuracy and efficiency.
A major attraction was the Radar-Video Fusion TandemVu PTZ Camera, which integrates millimeter-wave radar with high-resolution cameras for extensive traffic detection and data analysis. AI-based algorithms combine these two systems to enhance target information, detecting up to 16 types of incidents. This leads to the development of a large-scale fusion model that merges spatial physical data with image semantic information. The result is ultra-long-range perception, achieving over 95% accuracy in vehicle trajectory detection. This robust system improves traffic violation management and optimizes traffic flow, significantly enhancing road efficiency.
At the simulated bus station, visitors observed how AI-assisted people counting automated the collection of passenger flow statistics at peak stop hours and bus line frequency during busy periods. Paired with smart bus stop digital signage, the solution improves bus service quality, operational efficiency, passenger experience, and overall public transport effectiveness.
Sustainable transportation: leading the charge for greener cities
Hikvision’s commitment to sustainable urban mobility was evident through its innovative green wave technology and eco-friendly checkpoint solutions. Green wave technology efficiently manages traffic flow to reduce congestion and lower carbon emissions, aligning with global sustainability goals. Visitors were particularly impressed by a case study showcasing a green wave solution implemented in Zhoushan, China. Over a stretch of 21 kilometers and 34 intersections, this main road cut travel times by 50%.
The use of DarkFighterX technology in checkpoint cameras also received significant attention. This technology senses both visible and invisible light, resulting in more accurate and realistic images. It enhances traffic violation enforcement efficiency while minimizing the need for high ambient light levels, thus reducing light pollution. The 9M DarkfightX ANPR Checkpoint Camera exemplified this dedication to environmental stewardship.
Frank Zhang, President of Hikvision MEA, remarked, “Hikvision supports sustainable urban planning by empowering traffic departments to address congestion and transportation challenges.” He further emphasized, “Our system’s openness fosters a secure and reliable platform for developing smart and green cities. Additionally, our solar technology is extensively utilized in remote areas, while our smart street lighting solutions reduce energy consumption by 20-30%, promoting intelligent urban transportation and advancing global sustainability objectives.”
Hikvision’s presence at the ITS World Congress in Dubai underscored its leadership in integrating AIoT technologies to drive safer, smarter, and greener mobility solutions. The engaging presentations and advanced product demonstrations captured significant attention from industry partners and customers, reaffirming the company’s role as a pioneer in shaping the future of urban transportation. As the world moves towards more intelligent and sustainable transportation systems, Hikvision remains at the forefront, embracing AIoT to create a safer, smarter, and greener future for all.
To find out more about Hikvision’s advanced traffic and public transport solutions, please explore the Hikvision official website.
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Anti-Drone Market worth $7.05 billion by 2029 – Exclusive Report by MarketsandMarkets™

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DELRAY BEACH, Fla., Sept. 27, 2024 /PRNewswire/ — The global anti-drone market was valued at USD 2.16 billion in 2024 and is projected to reach USD 7.05 billion by 2029; it is expected to register a CAGR of 26.7% during the forecast period according to a new report by MarketsandMarkets™. Increasing government spending on counter-drone technologies, rising incidence of critical infrastructure security breaches by unauthorized drones, and surge in adoption of aerial remote sensing technologies to safeguard critical infrastructure are attributed to the demand for anti-drone.

Download PDF Brochure: https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=177013645
Browse in-depth TOC on “Anti-Drone Market” 178 – Tables61 – Figures253 – Pages
Anti-Drone Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 2.16 billion
Estimated Value by 2029
$ 7.05 billion
Growth Rate
Poised to grow at a CAGR of 26.7%
Market Size Available for
2020–2029
Forecast Period
2024–2029
Forecast Units
Value (USD Million/Billion)
Report Coverage
Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Segments Covered
By System Type, Application, Platform type, Vertical, and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
Vulnerability to hacking
Key Market Opportunities
Emphasis on improving unmanned aircraft systems technology
Key Market Drivers
Growing number of illicit activities
By System Type: Hybrid systems to account for the larger market share in the forecasted year.
The hybrid segment accounted for the largest share of the anti-drone market in 2029. The trends of integrating multiple anti-drone technologies are rising since they are most effective in detecting, tracking, and neutralizing drone threats. These systems merge electronic, kinetic, and lasers, providing a comprehensive defense solution against UAVs. Hybrid systems use electronic, kinetic, and laser-based countermeasures to offer optimum protection against drones. These systems are designed to detect, track, identify, categorize, and mitigate drones at operational wide ranges ranging from a few km up to tens of km.
By Platform: The ground-based segment accounted for the largest market share in the forecast year.
The ground-based segment will hold a major share of the anti-drone market in 2029. Many ground-based anti-drone systems use several electronic technologies, such as radar, IR sensors, acoustic systems, and RF & GNSS jammers. MESA radar solutions are used mostly for counter-UAS purposes, protecting critical infrastructure, military camps, and other security-sensitive sites from unauthorized drones. One such solution is EchoGuard, a ground-based airspace management solution that contains a software-defined 3D radar that can be specific to the site. This system can identify single or multiple off-chance drones, including swarms in unauthorized areas. They provide accurate and sustained airspace surveillance for the field of view (FOV) they are configured, and both human and AI-monitored visual checks. The system can be easily transported and integrated directly with the command-and-control centers or another identification sensor for portable use, and multiple units of the system can be combined to cover vast areas or lengths of borders. Major providers of ground-based counter-drone systems include companies like EchoDyne Corporation, DeTect, Meteksan Defense, and WhiteFox Defense. Acoustics-based Discovair G2 utilizes patented microphone arrays. With 128 interconnected microphone elements, the Discovair sensor units can establish azimuth and elevation to the target in real-time using advanced digital signal processing.
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By Region: Americas are expected to hold the largest share of the anti-drone market during the forecast period.
Americas is expected to capture the largest share in the anti-drone industry during the forecast period. The growth can be attributed to protecting crucial infrastructure in the region. Governments, particularly in the US, invest in anti-drone systems for military bases, borders, and critical infrastructure. For Instance, in April 2023, RTX secured a USD 237 million contract from the US Army to provide Ku-band Radio Frequency Sensors (KuRFS) and Coyote effectors. These systems are designed to detect and neutralize unmanned aircraft systems (UAS). The contract includes stationary and mobile systems and a specified quantity of effectors, all aimed at enhancing the Army’s operations within the US Central Command region.
Key Players-
The key companies offering anti-drone companies include RTX (US), Lockheed Martin Corporation (US), Leonardo S.p.A. (Italy), Thales (France), and IAI (Israel).
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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports &Consulting
Related Reports: 
Drone Sensor Market Size, Share, Industry Growth & Trends by Sensor Type, Platform (VTOL Type, Fixed Wing Type, Hybrid Type), Application (Navigation, Collision Detection & Avoidance, Data Acquisition, Motion Detection, Power Monitoring), End Users and Region – Global Forecast to 2029
Smart Agriculture Market Size, Share, Statistics and Industry Growth Analysis Report by Offering (Hardware, Software, Services), Agriculture Type, Farm Size (Large, Medium, Small), Application (Precision Farming, Livestock Monitoring) and Region (America, Europe, Asia Pacific, Row) – Global Forecast to 2028
About MarketsandMarkets™
MarketsandMarkets™ has been recognized as one of America’s best management consulting firms by Forbes, as per their recent report.
MarketsandMarkets™ is a blue ocean alternative in growth consulting and program management, leveraging a man-machine offering to drive supernormal growth for progressive organizations in the B2B space. We have the widest lens on emerging technologies, making us proficient in co-creating supernormal growth for clients.
Earlier this year, we made a formal transformation into one of America’s best management consulting firms as per a survey conducted by Forbes.
The B2B economy is witnessing the emergence of $25 trillion of new revenue streams that are substituting existing revenue streams in this decade alone. We work with clients on growth programs, helping them monetize this $25 trillion opportunity through our service lines – TAM Expansion, Go-to-Market (GTM) Strategy to Execution, Market Share Gain, Account Enablement, and Thought Leadership Marketing.
Built on the ‘GIVE Growth’ principle, we work with several Forbes Global 2000 B2B companies – helping them stay relevant in a disruptive ecosystem. Our insights and strategies are molded by our industry experts, cutting-edge AI-powered Market Intelligence Cloud, and years of research. The KnowledgeStore™ (our Market Intelligence Cloud) integrates our research, facilitates an analysis of interconnections through a set of applications, helping clients look at the entire ecosystem and understand the revenue shifts happening in their industry.
To find out more, visit www.MarketsandMarkets™.com or follow us on Twitter, LinkedIn and Facebook.
Contact: Mr. Rohan SalgarkarMarketsandMarkets™ INC. 1615 South Congress Ave.Suite 103, Delray Beach, FL 33445USA: +1-888-600-6441Email: [email protected] Our Web Site: https://www.marketsandmarkets.com/Research Insight: https://www.marketsandmarkets.com/ResearchInsight/anti-drone-market.aspContent Source: https://www.marketsandmarkets.com/PressReleases/anti-drone.asp
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CluePoints Launches Medical & Safety Review (MSR) Software to Revolutionize Clinical Data Review

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CluePoints furthers its commitment to delivering innovative solutions that enhance clinical trial efficiency with this latest addition to its enterprise software platform.
KING OF PRUSSIA, Pa., Sept. 27, 2024 /PRNewswire/ — CluePoints continues to transform clinical trial review and leverage its industry-leading software to enhance the interrogation, analysis and presentation of data with the launch of its latest application, Medical & Safety Review (MSR).

The tool simplifies and streamlines the medical analysis of study data through user-friendly dashboards, data manipulation and cleaning, query management and full transparency over the data history. This not only improves efficiency and communication in medical oversight, but also elevates patient safety, differentiating MSR as a smarter and unique solution.
Designed by, and for Medical and Safety Reviewers, MSR converts the manual analysis of patient outcomes, which can be prone to inefficiency and error, into an accurate, efficient process. MSR tackles time-consuming study preparation for specific visualizations by featuring a comprehensive standard visualization library as well as the ability to copy and reuse dashboards across different studies, enabling the identification of outlying values, change tracking, and improved communication for smarter clinical trials.
Other benefits of MSR include:
Enhanced medical review efficiency and reduced human errors via automated checksReduced time spent by clinical and data management teams in reviewing dataImproved collaboration with integrated review workflows across departmentsEnsured record quality and accountability with comprehensive change trackingDriving faster decision making with the proactive detection of trends and safety issuesEnsuring regulatory compliance with rule-based detection and user assignmentsAndy Cooper, Chief Executive Officer at CluePoints, commented, “We are thrilled to announce the launch of Medical & Safety Review to our growing product offerings. MSR is the latest application addition to the CluePoints platform, which includes products such as Risk-Based Quality Management (RBQM) and our Site Profile & Oversight Tool (SPOT). Together, they provide a comprehensive approach to clinical trial optimization, enhancing data integrity, ensuring regulatory compliance, and accelerating drug development. The creation of MSR ensures a more streamlined review process while prioritizing patient safety at every step and empowers medical teams to swiftly identify outliers, track data changes, and improve communication.”
To learn more about CluePoints’ award-winning solutions, please visit www.cluepoints.com
About CluePoints
CluePoints is the premier Risk-Based Quality Management (RBQM) and Data Quality Oversight Software provider. We are leveraging the potential of Artificial Intelligence using Advanced Statistics and Machine Learning to determine the quality, accuracy, and integrity of clinical trial data both during and after study conduct. Aligned with guidance from the FDA, EMA, and ICH E6 (R2), CluePoints is deployed to support central and on-site monitoring, medical review, quality risk management and to drive a holistic Risk-Based strategy in all trials. Coupled with thought leadership and consulting expertise to aid pre-study risk assessment, identification of risk controls and solution implementation, you now have everything you need to adhere with global regulatory guidance. The result is positive clinical development outcomes, increased operational efficiency, lower costs and reduced regulatory submission risk as part of the industry paradigm shift to RBQM.
 

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