Ryan Martin

Ryan Martin

Senior Research Director

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Ryan Martin In The News

3D Printing Industry (2024-03-10)
“Many manufacturers have struggled with integrating additive manufacturing into their manufacturing ecosystem,” said Ryan Martin, Director, Research, ABI Research. “For greater adoption, they need to add enhanced software solutions that will provide them with the necessary quality controls, repeatability, and scale. Software is a key to unlocking the next steps additive takes in becoming more mainstream in overall manufacturing.”
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Control Engineering (2024-02-12)
“Top IMV use cases for 2024 will be in training, collaboration, and production planning, with a strong emphasis on solutions that drive positive business outcomes in a short timeframe,” explains Ryan Martin, Senior Research Director, Industrial & Manufacturing at ABI Research. “Large deployments that are costly or take a long time to demonstrate value will be avoided in favor of smaller projects that drive incremental results that scale.”
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Process Technology (2024-02-12)
“Top IMV use cases for 2024 will be in training, collaboration and production planning, with a strong emphasis on solutions that drive positive business outcomes in a short timeframe,” said Ryan Martin, Senior Research Director, Industrial & Manufacturing at ABI Research. “Large deployments that are costly or take a long time to demonstrate value will be avoided in favour of smaller projects that drive incremental results that scale.”
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Industry Week (2023-05-10)
Eric Abbruzzese, AR/VR analyst from ABI Research, says that conversations about AR/VR no longer revolve around pilot use cases and experimentation. During a panel he moderated at the Augmented Enterprise Summit in October 2022, companies like Airbus, Dow and Bristol Meyers Squibb spoke about scaling up the technology. “It’s like talking about ‘digital twin.’ Digital twin is not a single-point solution. Digital twin is a composition of capabilities, rather than a singular solution. ‘IIoT system,’ to me, is analogous to that,” says Ryan Martin, research director at ABI Research.
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Future CIO (2023-02-08)
Digital transformation innovation and adoption significantly accelerated in 2022, but there is still a long way to go. According to ABI Research’s Digital Transformation Index, on a scale of 0 to 5, the manufacturing sector scored an average of 2.4 for digital maturity Automotive took the lead with an index of 3.7, followed by Electronics/High Tech at 3.3. “There are massive differences in digital maturity and needs across companies and industries,” explains industrial & manufacturing research director Ryan Martin.
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Forbes (2022-11-30)
The auto industry is leading major sectors of manufacturing that are embracing digital transformation for their own reasons and at different paces. The global automotive sector has become the biggest spender on digital transformation, ABI Research’s latest study found, forecasting that the industry will invest nearly $100 billion this year and more than $238 billion annually by 2030 in its transformation to electric vehicles from internal-combustion powertrains.
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Strategic CIO (2022-11-21)
“There’s a shift in the way the market is thinking about [digital] solutions, and it really is a solutions-first approach,” Ryan Martin, industrial and manufacturing markets research director at ABI Research, told StrategicCIO360. “You figure out the problem and the solution first, and then the technology to support that.”
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Design News (2022-11-17)
ServiceNow brings aftermarket and field data into the design and manufacturing loop. “PTC’s acquisition of ServiceMax underscores the growing interest in full-cycle lifecycle analytics solutions that close the loop on optimizations across domains, said Ryan Martin, research director for industrial and manufacturing at ABI Research.
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Future IoT (2022-11-08)
The automotive sector is the biggest spender on digital transformation. In its whitepaper, 4 Key Industries Embracing Industry 4.0, ABI Research forecasts that this sector’s spending on Industry 4.0 technologies will approach US$100 billion in 2022 and grow to over US$238 billion in 2030. The main reason for this is that OEMs and their suppliers need to adjust for the move away from the internal combustion engine to electric powertrains. Ryan Martin “The automotive industry is not alone in its digital transformation acceleration,” says Ryan Martin, industrial and manufacturing markets research director at ABI Research.
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EMS Now (2022-11-02)
ABI Research’s new whitepaper explores the four key markets being transformed by Industry 4.0 The automotive sector is the biggest spender on digital transformation. In its latest whitepaper, 4 Key Industries Embracing Industry 4.0, global technology intelligence firm ABI Research forecasts that this sector’s spend on Industry 4.0 technologies will approach US$100 billion in 2022 and grow to over US$238 billion in 2030. The main reason for this is that OEMs and their suppliers need to adjust for the move away from the internal combustion engine to electric powertrains.
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Communications Today (2022-11-02)
The automotive sector is the biggest spender on digital transformation. In its latest whitepaper, 4 Key Industries Embracing Industry 4.0, global technology intelligence firm ABI Research forecasts that this sector’s spend on Industry 4.0 technologies will approach US$100 billion in 2022 and grow to over US$238 billion in 2030. The main reason for this is that OEMs and their suppliers need to adjust for the move away from the internal combustion engine to electric powertrains.
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Canadian Auto Dealer (2022-11-01)
The automotive sector is the biggest spender on digital transformation of its products and production, says the latest whitepaper, 4 Key Industries Embracing Industry 4.0, produced by global technology intelligence firm ABI Research. The paper forecasts that “this sector’s spend on Industry 4.0 technologies will approach US$100 billion in 2022 and grow to over US$238 billion in 2030.” The study posits that the main reason for this is that OEMs and their suppliers need to adjust for the move away from the internal combustion engine to electric powertrains. “The automotive industry is not alone in its digital transformation acceleration,” said Ryan Martin, Industrial and Manufacturing Markets Research Director at ABI Research. “Industry 4.0—also known as smart manufacturing, connected manufacturing, the Industrial Internet of Things, and other monikers—has revolutionized the way companies manufacture, enhance, and distribute products using new technologies.” Industrial and Manufacturing Markets Research Director at ABI Research, Michael Larner said, “This transformation is not just limited to the manufacturing sector, it has begun shaping other industries and markets throughout the globe.” 4 Key Industries Embracing Industry 4.0 whitepaper explores the state of Industry 4.0 in four key markets: Automotive, Electronics & High Technology, Oil & Gas, and Fast-Moving Consumer Goods.
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Electronic Products Magazine (2022-05-25)
There is great interest in AI and machine learning (ML), but there is a lot of fragmentation in the industrial manufacturing market, said Ryan Martin, industrial and manufacturing research director at ABI Research. “It is difficult to speak broadly about those technologies given the diversity of manufacturers and the problems that they each face,” said Martin. “There is a huge base of small and mid-sized enterprises and machine shops, especially in the U.S., which employ one to 10 or one to 50 employees that are really critical and could benefit from these technologies but are not necessarily employing them or have great access to them.”
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Assembly Magazine (2022-03-23)
“People are still much better at high-level thinking and cross-functional coordination,” says Ryan Martin, industrial and manufacturing research director at ABI Research. “Machines are better at handling tasks that require fast cycle times and continuous flow processing.”
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Assembly Magazine (2021-08-24)
“Future factories are expected to have flexible and adaptable manufacturing lines that operate with greater autonomy, integrated closed-loop quality control, and connected workers to improve effective response to changes in supply and demand as they occur,” says Ryan Martin, research director at ABI Research.
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Enterprise IoT Insights (2021-05-10)
Special report including Ryan Martin
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RT Insights (2021-03-25)
“The reality is that most manufacturers did not have these capabilities going into the pandemic,” says Ryan Martin, research director at ABI Research. “Yet today technologies like cloud, simulation, and SaaS are viewed as table stakes.”
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Trade Arabia (2021-03-17)
According to global tech market advisory firm ABI Research, manufacturers need to ensure the success of current and future programmes amid continued challenges including restricted travel and distributed teams trying to collaborate remotely in real-time.
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Control Design (2021-03-16)
Market advisory firm ABI Research says that because manufacturers need to ensure the success of programs while dealing with restricted travel and distributed teams that select digital transformation initiatives have gained momentum in terms of their adoption and potential. These include cloud for collaboration and synchronization across teams and departments, digital twins for monitoring and maintenance and analytics and AI for system-wide, software-driven automation. ABI's latest suggest that in the quest for digital transformation, manufacturers and industrial firms will spend $19.8 billion to transform and support IIoT data analytics value chains by 2026, up from $4.92 billion in 2020. These findings are from ABI's Industrial and Manufacturing Semiannual Update report. "Future factories are expected to have flexible and adaptable manufacturing lines that operate with greater autonomy, integrated closed-loop quality control, and connected workers to improve effective response to changes in supply and demand as they occur," said Ryan Martin, research director at ABI. "The reality is that most manufacturers did not have these capabilities going into the pandemic. Yet today technologies like cloud, simulation and SaaS are viewed as table stakes."
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Smart Industry (2021-03-16)
Per findings from ABI Research’s Industrial and Manufacturing Semiannual Update report, select digital-transformation initiatives have gained considerable momentum in terms of their adoption and potential. These include cloud for collaboration and synchronization across teams and departments, digital twins for monitoring and maintenance, and analytics and AI for system-wide, software-driven automation. ABI Research notes that manufacturers and industrial firms will spend $19.8 billion to transform and support their IIoT data-analytics value chains by 2026, up from $4.92 billion in 2020. “Future factories are expected to have flexible and adaptable manufacturing lines that operate with greater autonomy, integrated closed-loop quality control, and connected workers to improve effective response to changes in supply and demand as they occur,” says Ryan Martin, research director, ABI Research. “The reality is that most manufacturers did not have these capabilities going into the pandemic. Yet today technologies like cloud, simulation, and SaaS are viewed as table stakes.”
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The Enterprisers Project (2020-11-30)
It’s “everything not in the cloud,” says Ryan Martin, principal analyst with ABI Research, “If we think about a hub-and-spoke model, the cloud is the hub and everything on the outside of the spokes is the edge.” This decentralized approach enables organizations to move processes like analytics and decision making closer to where the actual data is produced.
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Controls Design (2020-11-18)
ABI Research has published its latest whitepaper, "The 36 Transformative Technology Stats You Need to Know for 2021." According to the global tech market advisory firm, as manufacturers integrate IT and OT, they rely on Industrial IoT (IIoT) platforms dedicated to smart manufacturing to manage their devices, connectivity, infrastructure, and data. These IIoT platforms also help manufacturers implement applications, derive insights, and deliver those insights to the correct stakeholders. IIoT platforms come in a variety of flavors to meet a range of needs. The most suitable definition, however, is that of an Application Enablement Platform (AEP). More than $32 billion will be spent on these solutions annually by 2025, forecasts ABI. AEPs provide a solution for importing data, but they often require partners to provide gateways. Some AEPs, such as Siemens MindSphere, Emerson Plantweb and PTC ThingWorx, provide a “one-stop shop” that can take data from devices and work like an Operating System (OS) with an app store. “Some one-stop shops focus more on extracting data and getting data to the cloud, while others focus more on delivering the data to other manufacturing and enterprise systems," said Ryan Martin, industrial and manufacturing research director at ABI. "If app development remains open, applications can be built by the AEP provider, from partners (which may also be called platforms), end users, or independent developers, much like smartphone app stores."
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Future CIO (2020-11-16)
Consequently, IIoT platforms come in a variety of flavours to meet a range of needs. The most suitable definition, however, is that of an Application Enablement Platform (AEP). More than US$32 billion will be spent on these solutions annually by 2025, according to the ABI Research whitepaper, The 36 Transformative Technology Stats You Need to Know for 2021.
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Manufacturing (2020-11-16)
As manufacturers integrate IT and OT, they rely on Industrial IoT (IIoT) platforms dedicated to smart manufacturing to manage their devices, connectivity, infrastructure, and data. These IIoT platforms also help manufacturers implement applications, derive insights, and deliver those insights to the correct stakeholders. Consequently, IIoT platforms come in a variety of flavours to meet a range of needs. The most suitable definition, however, is that of an Application Enablement Platform (AEP). More than US$32bn will be spent on these solutions annually by 2025, forecasts global tech market advisory firm, ABI Research in its new whitepaper, The 36 Transformative Technology Stats You Need to Know for 2021.
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Industry Week (2020-08-19)
Many manufacturers are focusing on the core of their business and know that digitalization is a key to future success, explains Ryan Martin, Industrial & Manufacturing principal analyst at global tech market advisory firm ABI Research.
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CNBC (2020-04-17)
“Additive manufacturing — 3-D printing — is well suited for rapid prototyping,” said Ryan Martin, principal analyst at ABI Research. “COVID-19 pulls forward that capability from a nice-to-have to a need-to-have
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Industry Week (2020-04-01)
While it's difficult to predict what this current situation will mean long term, it will undoubtedly force most manufacturers to seriously rethink their operations. According to ABI Research, this includes radically embracing technological investments. In its new white paper, Taking Stock of COVID-19: The Short- and Long-Term Ramifications on Technology and End Markets, ABI Research looks at the current and future ramifications of COVID-19 across technologies and verticals. Analysts also offer recommendations to weather the storm and strategies to help companies rebound and prosper after the pandemic has slowed. “To effect change, there must be a stimulation of a magnitude that means companies cannot do anything but make bold decisions to survive. COVID-19 is that magnitude,” explains ABI's Chief Research Officer Stuart Carlaw. Bold decisions and technological investments could lead to outcomes including more concerted and widespread move to lights-out manufacturing; increased usage of autonomous materials handling and goods vehicles; a more integrated, diverse, and coordinated supply chain; an investment in smart cities to support community resilience; and a move to virtual workspaces and practices “Before we feel this potential long-term impact, there will be some serious short-term implications. Contractions in consumer spending, disruptions to supply chains, and reduced availability of components will create a rough sea for all boats,” Carlaw says. “In the short-term, there will be a retrenchment in outlooks a reduced investment in modernization, as survival instincts trump the drive to prosperity.”
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Telecoms Tech (2020-01-16)
Technology investments in the industrial and manufacturing sector are set to grow significantly, going from $59 billion in 2019 to $375 billion in 2030. Including hardware revenues, that figure will climb to over $1 trillion, according to the latest worldwide market study by ABI Research. Manufacturing is in the midst of a major digital revolution and is investing in Industrial Internet of Things (IIoT) technologies like artificial intelligence (AI), augmented reality (AR), robotics (AGVS, AMRs) and cloud-based simulation and modelling. Digital factory market development "The transformative shift toward Industry 4.0 technologies and the broader field of software-defined manufacturing (SDM) presents a massive opportunity for a wide range of technology providers and implementers," said Ryan Martin, principal analyst at ABI Research.
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Enterprise IoT Insights (2019-12-18)
Martin at ABI says the joining of IT and OT in IoT should be redefined. “This idea of IT/OT convergence is a problem statement. The challenge is around integration and collaboration, and not convergence. Because that’s the goal. That’s what the market is trying to achieve, ultimately.”
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The Economist (2019-11-05)
One roadblock is the convergence of OT, which controls the machines on the factory floor, with IT, which collects and analyses the data needed for decision-making. Ryan Martin, principal analyst at ABI Research, explains how, until recently, OT and IT co-existed as distinct areas of responsibility. “But with increased collection and analysis of data from previously unconnected plant-floor machinery, and more pervasive use of digital technologies at the operational level, the lines between the two are blurring fast,” he says.
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ASME Essentials: How to Embrace Best Practices in Additive Manufacturing (2019-10-08)
If your AM processes are not working, there may be questions you need to ask. “What is the intended application or use case? Is it functional prototypes? Is it maintenance and repair? Is this for production parts? Not every machine can produce the same effect in each of those worlds,” says Ryan Martin, principal analyst at ABI Research.
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Smart Industry (2019-09-05)
Ranked as the top manufacturing simulation software vendor, Siemens scored highest in implementation and topped four of the ten scoring criteria, states global tech market advisory firm, according to ABI Research's recent Manufacturing Simulation Software Competitive Assessment. Dassault Systèmes came in a close second, having scored the highest in innovation and topped three of the ten criteria. The assessment analyzed and ranked seven major vendors in the industry using ABI Research’s innovation/implementation criteria framework. For this competitive assessment, innovation scores examined the technical capabilities of the vendor’s software and implementation scores focused on the vendor’s commercial ability to deliver their solution around the world across a variety of manufacturing verticals.
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ASMAG (2019-07-25)
Needless to say, Europe and North America are early adopters of IIoT which has become more mature in those regions. “In Europe, Germany is leading in the Industry 4.0 movement. But by size of market as a whole, the U.S. leads,” said Ryan Martin, Principal Analyst at ABI Research.
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The Enterprisers Project (2019-07-22)
It’s “everything not in the cloud,” says Ryan Martin, principal analyst with ABI Research, “If we think about a hub-and-spoke model, the cloud is the hub and everything on the outside of the spokes is the edge.” This decentralized approach enables organizations to move processes like analytics and decision making closer to where the actual data is produced.
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Assembly Magazine (2019-07-09)
“There are many variables involved, depending upon the application,” says Ryan Martin, principal analyst for smart manufacturing at ABI Research. “For instance, a low-volume powder bed-based aerospace part may not require a lot of post-processing other than removing the supports. A high-volume automotive interior part may require a better finish, because fit, finish and cosmetic appearance need to be taken into consideration. “Furnaces can be expensive to operate and it takes time for parts to sinter and harden, so some processes could be automated,” explains Martin. “In addition, automation is needed on the test and inspection side of additive manufacturing.”
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Torque (2019-06-19)
Ryan Martin, Principal Analyst at tech market advisory firm, ABI Research, said: “The Zebra 2024 Warehousing Vision Study validates the explosive growth in warehousing automation technology. Warehousing and logistics are driven by the promise of just-in-time service delivery and the desire for first-time right results. To achieve these goals, IT and operations decision makers are making big bets on tech-led initiatives to transform their business, and they are taking their customers and partners with them. These bets include everything from wearable bar code scanners and smart glasses to robotics, analytics, and AI.
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Modern Materials Handling (2019-02-27)
According to a new report published by ABI Research, a market-foresight advisory firm, these systems will produce more than $360 billion worth of parts and end products each year and nearly $2 trillion in sum by the end of the next decade. “Additive manufacturing is moving from the prototype to the production market in a big way,” said Ryan Martin, principal analyst at ABI Research. “A new set of technologies is breaking out to create net-shape parts in a variety of build platform sizes that significantly broaden the overall scope of applications where AM can compete, and ultimately win. The integration of digital and physical production systems will accompany the hybrid manufacturing models that follow for higher degrees of automation and just-in-time, on-demand delivery.”
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