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Cortex AIを介してSnowflake AIデータクラウド内でLLMを利用できるようにしているプロバイダーであり、モダンマーケティングデータスタックに関してSnowflakeによる評価は行われていない。\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eマーケティングクラウドカテゴリに含まれるベンダーは、Snowflakeでの利用状況、業界や顧客のマーケティングデータスタックでのプレゼンスなど、多様な要素に基づいて評価が行われた。\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003ESnowflakeの利用タイプに基づいたテクノロジーの分類\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ESnowflakeが継続的にプラットフォーム機能を強化し、さまざまなアプリケーション展開モデルを提供するなかで、ベンダーは目的に応じて多様な方法でAIデータクラウドと統合している。Snowflakeでは、Snowflakeの顧客の観点から市場リーダーシップと採用レベルを正確に評価するために、Snowflakeの利用タイプに基づいて具体的なメトリクスを適用した。分析において考慮した項目は次のとおりである。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのデータ統合、変換、分析のワークロードを利用しているテクノロジー\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーションワークロードを活用し、データコラボレーションソリューション以外のプロダクトを統合しているテクノロジー\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーションワークロードを活用し、本レポートの「コラボレーション」カテゴリに関連するデータコラボレーションサービスを提供しているテクノロジー\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003Eマーケティングツールの成功を測定するための主要メトリクスの特定\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003Eスタック内の各カテゴリーにおけるマーケティングツールの導入の成功を正確に測定するために、パートナーのテクノロジーがSnowflakeの機能をどのように活用しているかに基づいて、具体的なメトリクスを分析した。 \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのデータ統合、変換、分析のワークロードを利用しているテクノロジーのメトリクス：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E該当テクノロジーを使用しているアクティブ顧客の総数\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeでの該当テクノロジーのクレジット総消費量\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E両方のカテゴリーの12か月間における成長率（さらに前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーション機能を活用し、データコラボレーションソリューションではなくプロダクトを統合しているテクノロジーのメトリクス：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E該当テクノロジーを含むステーブルエッジの総数。ステーブルエッジとは、データの提供者と利用者の間の継続的な関係である。ステーブルエッジは、コンピュートリソースを消費するトランザクションが20件以上発生したデータ共有で、かつその消費結果が、3週間を1単位とする2つの連続した期間（どちらにも20件以上のトランザクションが発生）にわたってプロダクト収益として認められるものとなったものと定義される\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeで該当テクノロジーが利用しているデータ共有から生じたクレジット総消費量\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E上記の両方のメトリクスの12か月間における成長（さらに前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーションワークロードを活用し、本レポートの「コラボレーション」カテゴリに関連するデータコラボレーションサービスを提供しているテクノロジーのメトリクス：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E該当テクノロジーを含むステーブルエッジの総数\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeで該当テクノロジーが利用しているデータ共有から生じたクレジット総消費量\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eプロバイダーとコンシューマーとの間で1つ以上のステーブルエッジが確立されているものとして定義されたデータコラボレーションテクノロジーのユニークコンシューマーの総数\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003E\u003Cb\u003E成長数値の分析\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003E対象は、2024年2月1日時点でアクティブなキャパシティ顧客とセルフサービス顧客のうち、翌1年間のSnowflakeでの収益がプラスとなったすべての顧客とした。成長率は、2024年2月1日から2025年1月31日までの12か月間の各カテゴリーのツールの利用が、その前の12か月間に比べて増加したことを示している。この手法に基づき、Snowflakeの顧客ベースの間で支持を得ているテクノロジーを明確化することを目標とした。\u003C/p\u003E\n\u003Cp\u003E\u003Cb\u003ESnowflakeテクノロジーの浸透度指数の作成\u003C/b\u003E\u003C/p\u003E\n\u003Cp\u003ESnowflakeでは、テクノロジーの市場浸透度と利用深度を示す指標を、Snowflakeとのインタラクションに基づいて作成した。計算にあたっては、Snowflakeの利用状況に合わせて調整された加重基準を用いた。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのデータ統合、変換、分析の機能を利用しているテクノロジー： \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E幅（40%）：分析対象の12か月間における、Snowflakeで該当テクノロジーを使用しているアクティブ顧客の数\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E深度（40%）：分析対象の12か月間における、Snowflakeでの該当テクノロジーによるクレジット総消費量\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E幅と深度の成長：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E（10%）12か月間における、該当テクノロジーを使用するアクティブ顧客の総数の成長率（さらに前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E（10%）12か月間における、該当テクノロジーによるクレジット消費量の成長率（さらに前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーションワークロードを活用し、データコラボレーションソリューションではなくプロダクトを統合しているテクノロジー：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E幅（40%）：分析対象の12か月間における、Snowflakeでの該当テクノロジーのステーブルエッジの数\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E深度（40%）：分析対象の12か月間における、Snowflakeでの該当テクノロジーによるクレジット総消費量 \u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E幅と深度の成長：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E（10%）分析対象の12か月間における、Snowflakeでの当該テクノロジーのステーブルエッジ総数の成長率（前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E（10%）12か月間における、当該テクノロジーによる消費量の成長率（さらに前の12か月間との比較）\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003ESnowflakeのコラボレーションワークロードを活用し、本レポートの「コラボレーション」カテゴリに関連するデータコラボレーションサービスを提供しているテクノロジー：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E幅（70%）： \u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E（40%）：分析対象の12か月間における、Snowflakeでの該当テクノロジーのステーブルエッジの数\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E（30%）：ベンダーが提供するテクノロジーを通じて統合されているコンシューマーの数\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E深度（30%）：分析対象の12か月間における、Snowflakeでの該当テクノロジーによるクレジット総消費量 \u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eこの指標は、Snowflakeのエコシステム内における市場リーチとテクノロジー利用の強度の両方を包括的に示している。\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003Cp\u003Eマーケティングテクノロジーを1からNの範囲でランキングまたは選定する（数値は小さいほど良い）。リストされている両グループのテクノロジーをすべて合わせて、ランキングを0～100の範囲で正規化する（スコア100は、すべてのメトリクスでランキング1位のテクノロジーとなる）。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003Eリーダーは、各カテゴリーで最高指数のトップテクノロジーを表す以下の基準を満たすベンダーをリーダー企業とする。\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003Eコラボレーションカテゴリ以外のカテゴリ：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E当該カテゴリ内で上位3位以内\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eまたはテクノロジー指標が、当該カテゴリの上位3位以内の各ベンダーの平均指標の87%以上に相当する数値である\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eコラボレーションカテゴリ：\u003C/p\u003E\n\u003Cul\u003E\n\u003Cli\u003E\u003Cp\u003E当該カテゴリ内で上位3位以内\u003C/p\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003Eまたはテクノロジー指標が、当該カテゴリの上位3位以内の各ベンダーの平均指標の94%以上に相当する数値である\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n\u003C/li\u003E\n\u003Cli\u003E\u003Cp\u003E注目企業は、強固な地位のほか、市場における最近の勢い、Snowflakeを活用した革新的なテクノロジーやアプローチ、最近示された強力な顧客機能など、その他の要因に基づいて選定する\u003C/p\u003E\n\u003C/li\u003E\n\u003C/ul\u003E\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-small"}},":itemsOrder":["title_v2_1687663476_","text_copy_copy"],"appliedCssClassNames":"snowflake-responsive-container-inner-padding-small"},":type":"snowflake-site/components/flexible-column-container","isBlogPage":false,"isActiveTOC":false}},":itemsOrder":["flexible_column_cont"],"appliedCssClassNames":"snowflake-container 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href=\"https://www.snowflake.com/ja/legal/\"\u003E法務関連\u003C/a\u003E\u003C/li\u003E\r\n\u003Cli\u003E© 2026 Snowflake Inc. 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