Artificial Intelligence
The Neuromorphic Chip Market was valued at USD 22.5 million in 2020, and it is projected to be worth USD 333.6 million by 2026, registering a CAGR of 47.4% during the period of 2021-2026
New York, June 16, 2021 (GLOBE NEWSWIRE) — Reportlinker.com announces the release of the report “Neuromorphic Chip Market – Growth, Trends, COVID-19 Impact, and Forecasts (2021 – 2026)” – https://www.reportlinker.com/p06095494/?utm_source=GNW
– Neuromorphic is a specific brain-inspired ASIC that implements the Spiked Neural Networks (SNNs). It has an object to reach the massively parallel brain processing ability in tens of watts on average. The memory and the processing units are in single abstraction (in-memory computing). This leads to the advantage of dynamic, self-programmable behavior in complex environments.
– Companies, such as BrainChip Holdings Ltd, are forming multiple partnership activities to utilize neuromorphic chips in curbing the spread of COVID-19. In May 2021, BrainChip Holdings Ltd partnered with precision immunology company Biotome Pty Ltd, to develop a fast, accurate COVID-19 antibody test. The companies will explore how the Akida neural processor could improve the accuracy and information quality of the antibody-tests while Biotome is developing by providing advanced AI capacity at the point of care.
– Neuromorphic chips can be designed digitally, analog, or in a mixed way. Analog chips resemble the characteristics of the biological properties of neural networks better than digital ones. In the analog architecture, few transistors are used for emulating the differential equations of neurons. Therefore, theoretically, they consume lesser energy than digital neuromorphic chips. Besides, they can extend the processing beyond its allocated time slot. Thanks to this feature, the speed can be accelerated to process faster than in real-time. However, the analog architecture leads to higher noise, which lowers the precision.
– Digital ones, on the other hand, are more precise compared to analog chips. Their digital structure enhances on-chip programming. This flexibility allows artificial intelligent researchers to accurately implement various kinds of an algorithm with low-energy consumption compared to GPUs. Mixed chips try to combine the advantages of analog chips, i.e., lesser energy consumption, and the benefits of digital ones, i.e., precision.
– Neuromorphic architectures address challenges, such as high-power consumption, low speed, and other efficiency-related bottlenecks prevalent in the von Neumann architecture. Unlike the traditional von Neumann architecture with sudden highs and lows in binary encoding, neuromorphic chips provide a continuous analog transition in the form of spiking signals. Neuromorphic architectures integrate storage and processing, getting rid of the bus bottleneck connecting the CPU and memory.
Key Market Trends
Automotive is the Fastest Growing Industry to Adapt Neuromorphic Chip
– The automotive industry is one of the fastest-growing industries for neuromorphic chips. All the premium car manufacturers are investing heavily to achieve Level 5 of Vehicle Autonomy; which in turn, is anticipated to generate huge demand for AI-powered neuromorphic chips.
– The autonomous driving market requires constant improvement in AI algorithms for high throughput with low power requirements. Neuromorphic chips are ideal for classification tasks and could be utilized for several scenarios in autonomous driving. They are also efficient in a noisy environment, such as self-driving vehicles, compared with static deep learning solutions.
– According to Intel, four terabytes is the estimated amount of data that an autonomous car may generate through almost an hour and a half of driving or the amount of time a general person spends in their car each day. Autonomous vehicles face a significant challenge in efficiently managing all the data generated during these trips.
– The computers running the latest self-driving cars are effectively small supercomputers. The companies, such as Nvidia, aim to achieve Level 5 autonomous driving in 2022, delivering 200TOPS (trillions of operations per second) using 750W of power. However, spending 750W an hour on processing is poised to have a noticeable impact on the driving range of electric vehicles.
– Among various automotive applications of neuromorphic chips, ADAS (Advanced Driver Assistance System) applications include image learning and recognition function. It works like one of conventional ADAS functions, such as cruise control or intelligent speed, assist system in passenger cars. It can control vehicle speed by recognizing the traffic information marked on roads, such as crosswalks, school zone, road-bump, etc.
North American is Expected to Hold Major Share over the Forecast Period
– North America is home to some of the major market vendors, such as Intel Corporation and IBM Corporation. nThe market for neuromorphic chips is growing in the region due to factors, such as government initiatives, investment activities, and others. For instance, in September 2020, the Department of Energy (DOE) announced USD 2 million funding for five basic research projects to advance neuromorphic computing. The initiative by DOE supports the development of both hardware and software for brain-inspired neuromorphic computing.
– The miniaturization of neuromorphic chips that help in different applications is also contributing to the market’s growth. For instance, in June 2020, MIT engineers designed a brain-on-chip smaller than a piece of confetti, made from tens of thousands of artificial brain synapses known as memristors, which are silicon-based components that mimic the information transmitting synapses in the human brain. Such chips can be utilized in small and portable AI devices.
– Government of Canada is also focusing on Artificial Intelligence technology, which will create a scope for growth in neuromorphic computing over the coming years. For instance, in June 2020, the governments of Canada and Quebec joined hands to advance the responsible development of AI. The focus will be on different themes, such as future work and innovation, commercialization, data governance, and reliable AI.
– Big investments into research and development activities through partnerships are being witnessed in the region. For instance, in October 2020, Sandia National Laboratories, one of three National Nuclear Security Administration research and development laboratories in the United States, partnered with Intel to explore the value of neuromorphic computing for scaled-up computational problems.
– The penetration of neural-based chipsets in commercialized applications is also propelling growth of the market. For instance, in November 2020, one of the biggest technology companies, Apple, launched its M1 Chip explicitly designed for its Mac products. The M1 Chip brings Apple Neural Engine to the Mac, and accelerates the machine learning tasks. The 16-core architecture can perform 11 trillion operations per second, and thereby, enable up to 15x faster ML performance.
Competitive Landscape
As the market for neuromorphic chips is very niche and in the initial phase of development, the market has a presence of a few players, such as BrainChip Holdings Ltd, Intel Corporation, SynSense AG, etc. In this consolidated market scenario, top players are growing intensely through various market development strategies, such as collaboration, market expansion, product innovation, and R&D activities. Hence the market concentration is medium.
– April 2021 – Brainchip Research Institute in Perth has entered into a research collaboration with precision immunology company Biotome Pty Ltd. Biotome is developing highly accurate antibody tests for infections. Brainchip’s Akida neuromorphic processor chip will be used to interpret sensor responses and to find out which responses are the most representative for antibodies that are protective.
– January 2021 – GrAI Matter Labs introduced GrAI VIP, Vision Inference Processor, a full-stack AI system-on-chip platform that will drive a significant step in fast responsiveness for visual inference capabilities in robotics, industrial automation, AR/VR, and surveillance products and markets. GrAI Matter Labs’ proven NeuronFlow event-based dataflow compute technology in GrAI VIP enables industry-leading inference latency up-to 100x better than competing solutions.
– September 2020 – SynSense announced that company is building the next generation of brain-machine interfaces. Company set the goal of making a neural prosthesis for a rat, so it can sense the world even without whiskers. This technology will be able to restore touch or other sensations to people who have lost it, in the future.
– March 2020 – SolidRun and Gyrfalcon developed First Edge Optimized AI Inference Server Janux GS31 that supports leading neural network frameworks. It can be configured with up to 128 Gyrfalcon Lightspeeur SPR2803 AI acceleration chips for improved inference performance for most complex video AI models.
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Artificial Intelligence
Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.
NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform. QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR HUD screen, when having some down time.
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Artificial Intelligence
Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.
The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™. Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies. GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance. Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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Artificial Intelligence
Robotic Palletizer Market worth $1.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The robotic palletizer market is projected to grow from USD 1.4 billion in 2024 and is expected to reach USD 1.9 billion by 2029, growing at a CAGR of 5.9% from 2024 to 2029 according to a new report by MarketsandMarkets™. Rising awareness towards workplace safety and reducing the risk of work-related injuries to drive the market. Robotic palletizers significantly enhance workplace safety and reduce the risk of work-related injuries and associated costs. By automating repetitive tasks like palletizing, businesses can redeploy their human workforce to higher-value activities that require human skills like problem-solving, critical thinking, and customer interaction. This allows them to optimize their workforce and leverage human capabilities more effectively.
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Browse in-depth TOC on “Robotic Palletizer Market” 100 – Tables60 – Figures200 – Pages
Robotic Palletizer Market Report Scope:
Report Coverage
Details
Market Revenue in 2024
$ 1.4 billion
Estimated Value by 2029
$ 1.9 billion
Growth Rate
Poised to grow at a CAGR of 5.9%
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 Component, Robot Type, Application, End-use Industry and Region
Geographies Covered
North America, Europe, Asia Pacific, and Rest of World
Key Market Challenge
High initial investment cost
Key Market Opportunities
Increasing application in small and medium-sized enterprises
Key Market Drivers
Growing labor shortage and need for workforce optimization
Collaborative robots in the robot type segment are expected to witness higher growth rate during the forecast period.
Collaborative robots are expected to witness a higher CAGR during the forecast period. Unlike traditional industrial robots that often require physical barriers or cages to protect human workers, cobots are equipped with advanced safety features, such as force and torque sensors, collision detection, and speed monitoring. These features enable cobots to operate safely in proximity to humans without posing significant risks of injury.
The Pharmaceutical segment in the robotic palletizer market is expected to witness highest growth rate during the forecast period.
Pharmaceutical products are subject to strict regulations regarding storage, handling, and quality control. Robotic palletizers play a crucial role in providing greater precision and consistency in palletizing tasks and minimizing the risk of contamination within pharmaceutical manufacturing facilities. It also reduces human intervention in the handling and stacking of products and helps mitigate the potential for cross-contamination and ensures adherence to strict hygiene standards.
End-of-Arm- Tooling (EOAT) component is expected to witness the highest CAGR in the robotic palletizer market during the forecast period.
End-of-arm tooling (EOAT) is a crucial element of a robotic arm system, especially in applications like robotic palletizing, where the robot needs to interact with various objects or products. EOAT essentially acts as the hand of the robotic arm, designed to securely grasp, lift, and place boxes or cases onto pallets. Overall, EOAT plays a vital role in the effectiveness of robotic palletizers as it ensures secure handling of products, efficient palletizing patterns, and smooth operation of the entire system.
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North America is expected to hold the largest share of the robotic palletizer industry during the forecast period.
North America is home to major automobile and retail companies, which has accelerated the demand for robotic palletizers in this region. Additionally, the rise in manufacturing activity, fueled by plans for reshoring and technological improvements, has further driven the need for robotic palletizers. In North America, certain government funds are available to increase workplace safety. In 2023, the Occupational Safety and Health Administration announced a grant of approximately USD 12.7 million to 100 non-profit organizations across the nation to provide education and training for workers and employers about recognizing workplace hazards, injury prevention, and understanding workers’ rights and employers’ responsibilities under federal law. Businesses that use robotic palletizers may be eligible for funding as they lower the risk of worker injuries from manual lifting.
Key Players
Leading players in the robotic palletizer companies include FANUC CORPORATION (Japan), KION GROUP AG (Germany), KUKA AG (Germany), ABB (Switzerland), and Krones AG (Germany). Schneider Packaging Equipment Company, Inc. (US), Honeywell International Inc. (US), Kaufman Engineered Systems (US), Concetti S.p.A. (Italy), Sidel (France), Brenton, LLC. (US), A-B-C Packaging Machine Corporation (US), Antenna Group (Italy), BEUMER GROUP (Germany), Brillopak (UK), BW Integrated Systems (US), Columbia Machine, Inc. (US), Euroimpianti S.p.A. (Italy), Fuji Yusoki Kogyo Co., Ltd. (Japan), HAVER & BOECKER OHG (Germany), KHS Group (Germany), MMCI (US), Okura Yusoki Co., Ltd. (Japan), Rothe Packtech Pvt. Ltd. (India), and S&R Robot Systems, LLC. (US) are few other key companies operating in the robotic palletizer market.
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Browse Adjacent Market: Semiconductor and Electronics Market Research Reports & Consulting
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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. Aashish MehraMarketsandMarkets™ INC. 630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [email protected] Our Web Site: https://www.marketsandmarkets.com/Research Insight: https://www.marketsandmarkets.com/ResearchInsight/robotic-palletizer-companies.aspContent Source: https://www.marketsandmarkets.com/PressReleases/robotic-palletizer.asp
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