AI & Machine Learning Research Service

ABI Research’s AI and Machine Learning (ML) market intelligence service assesses the market opportunity created by AI related technology, while at the same time providing thought leadership for the industry.

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Recent Research

COVID-19: Impact on AI and Machine Learning
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Industrial Machine Vision Lifetime Value Calculator
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Actionable Benefits Perform cost benefit analysis of existing and potential industrial machine vision systems. Compare and contrast the cost effectiveness of industrial machine vision system based on deployment strategies. Determine how to include DL-based machine vision systems. Critical Questions Answered What is the cumulative spending and savings year by year? What is the best way to generate quickest payback and most value when deploying industrial machine vision? ...
Industrial Machine Vision Camera Vendor Competitive Assessment
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Actionable Benefits Formulate product development roadmap based on the innovation focus of other industrial camera manufacturers. Align product market messages with the current trends in industrial machine vision market. Educate the procurement and sourcing team on the difference of key commercial machine vision solutions. Critical Questions Answered Who are the most innovative camera vendors in the market? What are some of the current technological focus of vision ...
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AI & Machine Learning Coverage

Our extensive coverage of AI and ML includes data, trends, forecasts, and benchmark and analysis reports. We assess the key technical and business factors that are essential for shaping AI and ML market activity and business models, including ML as a service, technology and platform as a service, software licensing, and edge AI hardware and applications. We also provide technology implementers with authoritative insight into the various AI and ML applications and use cases they should leverage to best streamline industrial and business processes as AI technology becomes accessible.
Our approach to market coverage is use-case centric as it looks at technology implementation for each use case studied. Aside from verticals that have existing AI implementation, such as consumer electronics and robotics, we also track AI and ML deployment in retail, manufacturing, energy, automotive, public safety and telecommunications. Special attention is dedicated to AI edge solutions.

Coverage areas include:
  • Machine learning
  • Artificial intelligence
  • Augmented Intelligence
  • Deep Learning
  • Data analytics
  • Predictive analytics
  • Prescriptive analytics
  • Algorithms and hardware technologies segmentation
  • Analysis of AI Tools and SDKs
  • AI and ML hot technology innovators
  • Edge AI and ML
  • Market segmentation and taxonomy of AI and ML use cases and applications
  • Different implementation approaches of AI and ML
  • AI and ML business models
  • AI and ML use cases in the telecoms industry
  • In-building systems including DAS (Distributed Antenna Systems)
  • RF power semiconductors for pulsed applications
  • Detailed spectrum analysis for 5G networks, sub-6G to mmWave, including regional disparities
  • AI and ML use cases in the manufacturing industry
  • AI and ML use cases in the consumer market
  • AI and ML use cases in the IoT market
  • The role of open source in shaping new applications and business models
  • Emerging trends in speech and image recognition, machine vision, natural language processing, touch/haptics, Generative and Creative Adversarial Networks, automated reasoning and security applications
  • Analysis of edge AI versus cloud AI
 
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Artificial Intelligence Meets Business Intelligence

Multimodal learning is fast becoming one of the most
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Answers To Today's Critical AI & Machine Learning Questions

We help technology suppliers and implementers answer the most pressing questions about AI & Machine Learning, including:
  • Technology Suppliers:
  • How are the different ML hardware and algorithms are mapped against requirements of the different use cases addressed?
  • What are the key verticals that will drive AI and ML applications?
  • Should I create my own AI frameworks and solutions or should I adopt existing open frameworks?
  • Who are competitors I should watch and who are those I should partner with?
  • What emerging verticals should my organization target?
  • How big is the revenue opportunity?
  • What major challenges will the industry face when managing a myriad of data generated by billions of connected devices?
  • Who are the companies and organizations my company should partner with to create adequate solutions for the verticals are targeting?
  • Where does my company fit in the AI/ML competitive landscape?
  • How can my organization productize open source code?
  • How can we stream value from it?
  • What are the most successful open-source communities and frameworks for my company to rely on?
  • Do I have any benefit from contributing and using open source and what are the risks?
  • What are the most invested in AI R&D projects and frameworks?
  • What impact will the move from cloud-based to edge based have on the market dynamics and supplier positioning?
  • Implementers & End Users:
  • How can I implement AI in my current business activities?
  • How will AI create new market opportunities in my sector?
  • What is the realistic time to maturity of different AI components?
  • What is the best approach for integrating AI into my company’s ecosystem?
  • What criteria should I consider when choosing an AI partner?
  • What advanced analytics techniques should my company consider adopting?
  • What are the main types of algorithms used in ML today and how this is going to evolve in the future?
  • How can my company utilize AI to simplify our business and operation processes?
  • What is the difference between predictive and prescriptive analytics, and what is the best course of action for my company to take to effectively keep tabs on all our generated data? 
  • What can my company discern from our generated data through advanced analytics?
  • Are there any security concerns my company should be made aware of when relying on advanced analytics?
  • How can my company protect our data and our customers’ data? • What is the value of edge computing versus cloud computing?
  • Should I be using an open-source AI framework to develop models, and which one would suit my needs?

Research Deliverables

We cover the technologies, trends, and markets from every angle, and we deliver our qualitative and quantitative intelligence in multiple formats.

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Competitive Assessment
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Competitive Assessment reports offer comprehensive analysis of implementation strategies and innovation, coupled with market share analysis, to offer unparalleled insight into a company’s performance and standing in comparison to its competitors.

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Market Data
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Market Data spreadsheets are composed of deep data, market share analysis, and highly segmented, service-specific forecasts to provide detailed insight where opportunities lie.

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Technology Analysis
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Based on extensive primary interviews, Technology Analysis reports present in-depth analysis on key market trends and factors for a specific technology.

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Hot Tech Innovators
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Hot Tech Innovators reports focus on companies at the forefront of transformational innovation, particularly those that are younger and less well-known than the incumbents, at the technological forefront of their markets, developing new business models, destabilizing the current market and prime acquisition targets.

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Market Update
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Depicted in a PowerPoint format, the Market Update provides a snapshot into current and future market opportunities and threats for a specific technology as well as focusing on a selected key market and associated trends.

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Transformative Horizon
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Transformative Horizon PowerPoints are aimed at providing timely, deep, actionable insight in the looming transformative innovations that will impact the markets which matter most by focusing on a new company entrance or product launch, a significant company merger, a new business model or a new strategic direction for an incumbent.

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Application Analysis
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Based on extensive primary interviews, Application Analysis reports present in-depth analysis on key market trends and factors for a specific application, which could focus on an individual market or geography.

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ABI Insight
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In a one- to two-page executive summary, ABI Insights are driven mostly by recent, noteworthy news events — including M&As, proposed and recently enacted regulations, product launches and market updates —and often highlight ABI Research’s important technology forecasts.

Analyst Expertise

In addition to our research deliverables, you also have one-on-one access to our expert analysts. They can answer pressing questions, provide strategic recommendations, and get you caught up on the latest news, trends, market changes, and more.

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