Nikkei Launches New AI-Powered 'AI Research' Feature for Value Search
Nikkei Inc. has launched 'AI Research,' a new conversational AI feature within its 'Nikkei Value Search' corporate and industry analysis platform, utilizing Nikkei's proprietary data to generate responses.
📋 Article Processing Timeline
- 📰 Published: May 26, 2026 at 01:00
- 🔍 Collected: May 25, 2026 at 16:31
- 🤖 AI Analyzed: May 25, 2026 at 16:55 (23 min after Collected)
## Nikkei Launches New AI-Powered 'AI Research' Feature for Value Search
Nikkei Inc. (Headquarters: Chiyoda-ku, Tokyo; President: Nobuhisa Iida) has launched 'AI Research,' a new conversational AI feature integrated into its corporate and industry analysis platform, 'Nikkei Value Search,' which generates responses based on Nikkei’s proprietary data.
This feature utilizes generative AI to read information stored in a long-standing search database, instantly summarizing and organizing information on topics of interest. A key feature is the ability to immediately access the source of the response, allowing users to verify and compare information by changing conditions and timeframes. This significantly reduces the man-hours previously required for information gathering and fact-checking in research and analysis, creating an environment focused on 'strategy formulation.'
### Development Background
With the spread of generative AI, market and industry analysis has become easier. However, general-purpose generative AI tools often lack transparency regarding the basis (primary information) of their findings, and users must verify the reliability of the referenced websites. This poses challenges for business use where organizing issues and grounds based on data is critical. Nikkei Value Search has now incorporated the AI Research feature to enable anyone to easily perform research tasks such as 'organizing,' 'comparing,' and 'verifying' using reliable data.
### Expected Effects of AI Research
Primarily for corporate and industry analysis in planning departments:
- Essential points and grounds are instantly organized, allowing a focus on thinking.
- Information can be confirmed and compared while checking sources, moving strategy discussions forward on the spot.
- Consistent outputs are achieved regardless of who uses the tool.
### Key Features of 'AI Research'
1. High Reliability Based on Nikkei's Primary Information
Responses are generated based exclusively on Nikkei's highly reliable 'primary information.' Every response includes clearly stated sources, and users can directly refer to the original articles and data, significantly reducing fact-checking time.
*Comprises Nikkei newspaper articles plus over 65,000 economic and industry statistical datasets.
2. Satisfactory Research Experience via AI and Search Data Service
Generative AI instantly summarizes and organizes information, slashing time spent reading documents. Users can immediately refer to the original articles and data used for the responses.
3. Prevention of Workflow Silos through Conversational Deep-Dives
Even for research requiring specific experience or skills, users can generate consistent outputs simply by asking questions like 'Compare the financial indicators of Company A, Company B, and Company C.' Regardless of expertise, analysis can be completed through dialogue, ensuring reproducibility and preventing reliance on specific individuals.
### Future Outlook
Under the vision of 'transforming time spent searching into time for thinking,' Nikkei will continue to expand the data handled and advance the AI functions.
### Overview of the New Feature
- Name: Nikkei Value Search 'AI Research' Function
- Launch Date: April 8, 2026
- Feature Site: https://nvs.nikkei.co.jp/ai-research/
Nikkei Inc. (Headquarters: Chiyoda-ku, Tokyo; President: Nobuhisa Iida) has launched 'AI Research,' a new conversational AI feature integrated into its corporate and industry analysis platform, 'Nikkei Value Search,' which generates responses based on Nikkei’s proprietary data.
This feature utilizes generative AI to read information stored in a long-standing search database, instantly summarizing and organizing information on topics of interest. A key feature is the ability to immediately access the source of the response, allowing users to verify and compare information by changing conditions and timeframes. This significantly reduces the man-hours previously required for information gathering and fact-checking in research and analysis, creating an environment focused on 'strategy formulation.'
### Development Background
With the spread of generative AI, market and industry analysis has become easier. However, general-purpose generative AI tools often lack transparency regarding the basis (primary information) of their findings, and users must verify the reliability of the referenced websites. This poses challenges for business use where organizing issues and grounds based on data is critical. Nikkei Value Search has now incorporated the AI Research feature to enable anyone to easily perform research tasks such as 'organizing,' 'comparing,' and 'verifying' using reliable data.
### Expected Effects of AI Research
Primarily for corporate and industry analysis in planning departments:
- Essential points and grounds are instantly organized, allowing a focus on thinking.
- Information can be confirmed and compared while checking sources, moving strategy discussions forward on the spot.
- Consistent outputs are achieved regardless of who uses the tool.
### Key Features of 'AI Research'
1. High Reliability Based on Nikkei's Primary Information
Responses are generated based exclusively on Nikkei's highly reliable 'primary information.' Every response includes clearly stated sources, and users can directly refer to the original articles and data, significantly reducing fact-checking time.
*Comprises Nikkei newspaper articles plus over 65,000 economic and industry statistical datasets.
2. Satisfactory Research Experience via AI and Search Data Service
Generative AI instantly summarizes and organizes information, slashing time spent reading documents. Users can immediately refer to the original articles and data used for the responses.
3. Prevention of Workflow Silos through Conversational Deep-Dives
Even for research requiring specific experience or skills, users can generate consistent outputs simply by asking questions like 'Compare the financial indicators of Company A, Company B, and Company C.' Regardless of expertise, analysis can be completed through dialogue, ensuring reproducibility and preventing reliance on specific individuals.
### Future Outlook
Under the vision of 'transforming time spent searching into time for thinking,' Nikkei will continue to expand the data handled and advance the AI functions.
### Overview of the New Feature
- Name: Nikkei Value Search 'AI Research' Function
- Launch Date: April 8, 2026
- Feature Site: https://nvs.nikkei.co.jp/ai-research/
FAQ
日経バリューサーチの「AIリサーチ」機能とは何ですか？
日経が持つ信頼性の高い記事や経済統計データなどの独自情報を基に、生成AIが回答を生成し、瞬時に情報を要約・整理する機能です。
「AIリサーチ」機能を利用するメリットは何ですか？
情報収集や裏取りにかかっていた工数を大幅に削減し、信頼できる根拠に基づいた効率的な調査分析を可能にすることで、戦略策定など本来の業務に集中できるようになります。
回答の信頼性はどのように担保されていますか？
日経独自の「一次情報」のみをベースに回答を生成し、すべての回答に出典を明記します。ユーザーは引用元の記事やデータを直接参照可能です。
「AIリサーチ」はいつから利用可能ですか？
2026年4月8日より提供が開始されています。
どのような分析に活用できますか？
企業や業界の分析、財務指標の比較などの調査において、対話を通じて必要な論点や根拠を迅速に整理するために活用できます。