AI＆機械学習のリサーチサービス – 年間サービス

【年間サービス】

AI＆機械学習のリサーチサービス
AI & Machine Learning Research Service

調査会社	ABIリサーチ
種別	英文年間契約型サービス
提供方法	オンライン（アクセス＆ファイルダウンロード）

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お問合せ

ABIリサーチの年間サービス「AI＆機械学習のリサーチサービス – AI & Machine Learning Research Service」は人工知能（AI）と機械学習（マシンラーニング／ML）に関する市場情報を1年を通じて提供しています。

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.

Reports & Data　※タイトル毎でもご購入いただけます。各レポートの詳細はお問合せください。

タイトル	出版時期	形式
TinyML：最新市場情報　2022年第3四半期 TinyML: A Market Update Research Report \| 3Q 2022 \| AN-5636	2022年9月	PDF
The Future of Technology in a Tumultuous World（無料レポート） Whitepaper \| 3Q 2022 \| WP-1006	2022年9月	PDF
エッジML実現プラットフォームベンダの競合評価 Edge ML Enablement Platform Vendors Competitive Ranking \| 3Q 2022 \| CA-1341	2022年8月	PDF
人工知能と機械学習のマーケットデータ　2022年第2四半期 Artificial Intelligence and Machine Learning Market Data \| 2Q 2022 \| MD-AIML-109	2022年6月	EXCEL
エッジMLの実現：開発プラットフォーム、ツール、ソリューション Edge ML Enablement: Development Platforms, Tools, and Solutions Research Analysis \| 2Q 2022 \| AN-4958	2022年5月	PDF
連合型、分散型、FSL（Few-Shot learning）：サーバーから機器まで Federated, Distributed and Few-Shot Learning: From Servers to Devices Research Analysis \| 2Q 2022 \| AN-4952	2022年4月	PDF
商用および産業用マシンビジョンのマーケットデータ　2021年第4四半期 Commercial and Industrial Machine Vision Market Data \| 4Q 2021 \| MD-CIVM-101	2021年12月	EXCEL
Artificial Intelligence and Machine Learning 人工知能と機械学習（マシンラーニング）のマーケットデータ Market Data \| 4Q 2021 \| MD-AIML-108	2021年12月	マーケットデータ（EXCEL)
深層学習ベースの音声処理 Deep Learning-Based Sound Processing Competitive Assessment \| 4Q 2021 \| CA-1323	2021年11月	分析レポート（PDF)
深層学習（ディーブラーニング）ベースの環境音と言語処理：クラウドからエッジへ Deep Learning-Based Ambient Sound and Language Processing: Cloud to Edge Application Analysis Report \| 3Q 2021 \| AN-5031	2021年第3四半期	分析レポート（PDF)
人工知能投資モニター　2020年 Artificial Intelligence Investment Monitor 2020 Application Analysis Report \| 2Q 2021 \| PT-2488	2021年第2四半期	分析レポート（PDF)
人工知能と機械学習（マシンラーニング）のマーケットデータ Artificial Intelligence and Machine Learning Data \| 2Q 2021 \| MD-AIML-107	2021年第2四半期	マーケットデータ（EXCEL)
TinyML：テックにおける新たなビッグチャンス（無料レポート） TinyML: The Next Big Opportunity in Tech Report \| 2Q 2021 \| WP-WNGH-176	2021年第2四半期	無料レポート
エッジAIエコシステム The Edge AI Ecosystem Application Analysis Report \| 2Q 2021 \| AN-5334	2021年第2四半期	分析レポート（PDF)
トランスフォーメーション技術サミット：エッジAIエコシステムの開花 Transformational Technology Summit: The Blossoming Of The Edge AI Ecosystem Webinar Recording \| 1Q 2021 \| PT-2507	2021年第1四半期	ウェビナー録音ファイル
スマートシティにおける深層学習ベースのマシンビジョン Deep Learning-Based Machine Vision in Smart Cities Application Analysis Report \| 1Q 2021 \| AN-4938	2021年第1四半期	分析レポート（PDF)
人工知能と機械学習（マシンラーニング）のマーケットデータ Artificial Intelligence and Machine Learning Data \| 1Q 2021 \| MD-AIML-106	2021年第1四半期	マーケットデータ（EXCEL)

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

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?

お問合せフォーム

ロボティクス＆オートメーション年間サービス

出版：MarketsandMarkets
シングルユーザ	USD 4,950
マルチユーザ（5名）	USD 6,650
コーポレート	USD 8,150
エンタープライズ	USD10,000