Gartner Research


Published: 05 April 2022



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  • アナリティクス/ビジネス・インテリジェンス (ABI) プラットフォームは、データの準備や加工、予測・洞察の自動生成、成果物の共有、SaaSやdbPaaS (サービスとしてのデータベース・プラットフォーム) との連携強化など、カバーする機能範囲を引き続き拡大している。

  • 人工知能 (AI) の活用は、ベンダーにとって差別化要素の1つとなっているが、実用性は限定的で、ユーザーからも必須機能として認識されていない。

  • 日本の国産ベンダーが引き続き本市場の一角を占めており、導入実績が豊富な旧来ベンダーの製品に加えて、ビジネス・ユーザーが手軽に洞察を得られる新たな製品を検討する組織が増加傾向にある

  • ユーザー企業におけるデータ活用能力の不足が課題となっているため、ベンダーは自社の技術や製品を売り込むだけでなく、教育プログラムを整備して同時に提案するようになっている。



  • 検討の初期段階から、導入後の目標およびユーザーに求められるビジネス上の成果を、ユーザーと共に明確化する。

  • コストや費用対効果を過度に意識するのではなく、ビジネス成果の獲得に焦点を定め測定と証明が容易なKPIも検討す

  • 表面的な機能や導入・開発の費用のみを比較するのではなくユーザーの業務やエクスペリエンスの改善可能性と、見込まれるビジネス成果を優先する

  • 従来の考え方を見直し、クラウドやオープンソース・ソフトウェア (OSS) の活用も含めたアジャイル型のパイロット・プログラムに取り組むことを、ITだけでなく組織全体に宣言する

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Tatsuya Ichishi

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