エネルギー分野における人工知能市場：オファリング別、エネルギータイプ別、タイプ別、用途別、最終用途別、地域別 - 2030年までの予測

エネルギー分野におけるAIの市場規模は、2024年に89億1,000万米ドル、2030年には586億6,000万米ドルになると予測され、年間平均成長率（CAGR）は36.9%になるとみられています。

AIに基づく手法やML技術は、ビルの効率的な運営や居住者への快適性向上に役立つと期待されています。ビルとHVACシステムは、固定システムとして、また静的な環境想定で設計、建設、試運転されてきました。これは、建物の使用、居住、環境要因が時間とともに変化するため、非効率につながる可能性があります。AIは、ビルシステムによって収集されたデータを解析し、居住者の快適性を維持または改善しながらHVAC性能を最適化するためにセットポイントを継続的に調整する制御と統合するために適用することができます。AIベースの方法は、さらに以下を提供することができます。これにより、バーチャルパワープラント（VPP）への参加に向けたビルの負荷柔軟性の向上が可能になります。

人工知能は、石炭・石油・天然ガス・原子力エネルギーなど、より伝統的なエネルギー部門に統合され、より効率的で安全かつ持続可能なエネルギーになりつつあります。化石燃料ベースのエネルギー発電では、AIは資源抽出を最適化し、プラントの性能を向上させ、ダウンタイムと運転コストを削減する予知保全を可能にします。石炭・石油・天然ガスを使用する場合、AIシステムは需要の変動を予測し、供給レベルを調整し、排出量を監視することで、事業者が環境規制を遵守できるようにします。原子力では、AIが原子炉の状態を監視し、異常を予測することで安全性を確保するとともに、対応メカニズムを自動化し、プラント全体の信頼性を高めます。さらに、AIの活用は、泥炭、オイルシェール、タールサンドなどの他の従来型エネルギー源において、より優れた採掘プロセスの開発と操業リスクの低減を支援し、エネルギー生産の持続可能性を目指します。そうすることで、AIは従来のエネルギーを再定義し、より効率的で、安全で、環境に優しいものにしようとしています。

AI主導のエネルギー分野では、トレーニング、コンサルティング、配備、システム統合、サポート、メンテナンスなどのサービスが、電力システム全体の発電、配電、消費における運用最適化に不可欠です。プロフェッショナル・サービスは、グリッド最適化、エネルギー予測、スマートグリッド管理における潜在的な専門知識により、エネルギー企業がAIソリューションを使用して特定のニーズを特定するのを支援します。導入・統合サービスは、既存のエネルギー・インフラとAIシステムのスムーズな統合を保証します。サポートとメンテナンスは、迅速なトラブルシューティングとアップデートにより、AIを活用したソリューションが稼働し続けることを保証し、最大限のアップタイムを確保します。マネージド・サービスにより、エネルギー企業はAIソリューションから一歩引くことができ、外部プロバイダーが効率改善と運用コストの最小化のためにAIソリューションを処理します。これらのサービスを組み合わせることで、エネルギー企業はAI技術を総合的に活用し、バリューチェーン全体で卓越したオペレーションとイノベーションを推進できるようになります。

2023年10月、BluWave-aiはAIを活用したエネルギー最適化技術で日本市場での事業を拡大しました。BluWave-aiは、太陽光発電と蓄電池を備えた産業用系統連系プラントのエネルギーを最適化することで、日本のエネルギー転換を可能にするため、世界なAI展開からその技術を導入しました。BluWave-aiは日本のエンジニアリング企業と提携し、産業研究開発センターでのプロジェクトを完了しました。このプロジェクトでは、屋上太陽光発電、蓄電池、バイオマス発電システムの最適化が行われました。スマートグリッド・オプティマイザーは、ピーク需要の20％削減、逆潮流を起こさない再生可能エネルギーの100％利用、エネルギーコストの大幅削減など、驚くべき成果を上げました。2024年11月までに、ZTE CorporationとChina Mobileは、通信ネットワークにおけるエネルギー利用を最適化するために、負荷ベースのネットワーク調整を使用してコンピューティング・リソースを動的に調整するAI主導のグリーン・テレコ・クラウドを開発しました。中国では2024年11月、中興通訊（ZTE Corporation）と中国移動（China Mobile）は、コンピューティング・リソースを動的に調整する負荷ベースのネットワーク調整により、通信ネットワークにおけるエネルギー使用を最適化するAI主導のグリーン・テレコ・クラウドを開発しました。

当レポートでは、世界のエネルギー分野における人工知能市場について調査し、オファリング別、エネルギータイプ別、タイプ別、用途別、最終用途別、地域別動向、および市場に参入する企業のプロファイルなどをまとめています。

目次

第1章 イントロダクション

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 重要考察

第5章 市場概要と業界動向

• イントロダクション
• 市場力学
• エネルギー分野におけるAI市場の簡単な歴史
• エコシステム分析
• ケーススタディ分析
• サプライチェーン分析
• 関税と規制状況
• 価格分析
• 技術分析
• 特許分析
• ポーターのファイブフォース分析
• 顧客ビジネスに影響を与える動向/混乱
• 主な利害関係者と購入基準
• 2024年～2025年の主な会議とイベント
• エネルギー分野におけるAI市場の技術ロードマップ
• エネルギー分野におけるAI市場のベストプラクティス
• 現在のビジネスモデルと新たなビジネスモデル
• エネルギー分野におけるAI市場：ツール、フレームワーク、テクニック
• トレード分析
• 投資と資金調達のシナリオ
• AI/生成AIがエネルギー分野におけるAI市場に与える影響

第6章 エネルギー分野におけるAI市場、オファリング別

• イントロダクション
• ソリューション
• サービス

第7章 エネルギー分野におけるAI市場、エネルギータイプ別

• イントロダクション
• 従来型エネルギー
• 再生可能エネルギー

第8章 エネルギー分野におけるAI市場、タイプ別

• イントロダクション
• 生成AI
• その他

第9章 エネルギー分野におけるAI市場、用途別

• イントロダクション
• エネルギー需要予測
• グリッド最適化と管理
• エネルギー貯蔵の最適化
• 再生可能エネルギーの統合
• エネルギー取引と市場予測
• エネルギー持続可能性管理
• 災害からの回復力と復興
• その他

第10章 エネルギー分野におけるAI市場、最終用途別

• イントロダクション
• 発電
• 送電
• 配電
• 消費

第11章 エネルギー分野におけるAI市場、地域別

• イントロダクション
• 北米
  • 北米：マクロ経済見通し
  • 米国
  • カナダ
• 欧州
  • 欧州：マクロ経済見通し
  • ドイツ
  • 英国
  • フランス
  • イタリア
  • スペイン
  • 北欧
  • その他
• アジア太平洋
  • アジア太平洋：マクロ経済見通し
  • 中国
  • 日本
  • インド
  • オーストラリアとニュージーランド
  • 韓国
  • ASEAN
  • その他
• 中東・アフリカ
  • 中東・アフリカ：マクロ経済見通し
• ラテンアメリカ
  • ラテンアメリカ：マクロ経済見通し
  • ブラジル
  • アルゼンチン
  • メキシコ
  • その他

第12章 競合情勢

• イントロダクション
• 主要参入企業の戦略/強み、2021年～2024年
• 市場シェア分析、2024年
• 収益分析、2019年～2023年
• 企業評価マトリックス：主要参入企業、2024年
• 企業評価マトリックス：スタートアップ/中小企業、2024年
• 競合シナリオ
• ブランド/製品比較
• 企業価値評価と財務指標

第13章 企業プロファイル

• 主要参入企業
  • SCHNEIDER ELECTRIC SE
  • GE VERNOVA
  • ABB LTD.
  • HONEYWELL INTERNATIONAL, INC.
  • SIEMENS AG
  • ORACLE CORPORATION
  • VESTAS WIND SYSTEMS A/S
  • IBM CORPORATION
  • MICROSOFT CORPORATION, INC.
  • AMAZON WEB SERVICES, INC
  • ATOS SE
  • TESLA, INC.
  • C3.AI, INC.
  • ALPIQ
  • ENEL S.P.A.
• スタートアップ/中小企業
  • ORIGAMI ENERGY
  • INNOWATTS
  • IRASUS TECHNOLOGIES
  • GRID4C
  • UPLIGHT
  • GRIDBEYOND
  • ESMART SYSTEMS
  • NDUSTRIAL
  • DATATEGY
  • OMDENA
  • BIDGELY
  • AVATHON

第14章 隣接/関連市場

第15章 付録

List of Tables

• TABLE 1 USD EXCHANGE RATES, 2019-2023
• TABLE 2 AI IN ENERGY MARKET: ECOSYSTEM ANALYSIS
• TABLE 3 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231), 2023
• TABLE 4 NORTH AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 5 EUROPE: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 6 ASIA PACIFIC: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 7 MIDDLE EAST & AFRICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 8 LATIN AMERICA: LIST OF REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
• TABLE 9 AVERAGE SELLING PRICE, BY RENEWABLE ENERGY TYPE
• TABLE 10 INDICATIVE PRICING LEVELS OF ENERGY SOLUTIONS, BY OFFERING, 2024
• TABLE 11 PORTER'S FIVE FORCES ANALYSIS: IMPACT ON AI IN ENERGY MARKET
• TABLE 12 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USES
• TABLE 13 KEY BUYING CRITERIA FOR TOP THREE END USES
• TABLE 14 AI IN ENERGY MARKET: DETAILED LIST OF CONFERENCES AND EVENTS, 2024-2025
• TABLE 15 AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 16 AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 17 SOLUTIONS: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 18 SOLUTIONS: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 19 SERVICES: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 20 SERVICES: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 21 AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 22 AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 23 PROFESSIONAL SERVICES: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 24 PROFESSIONAL SERVICES: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 25 AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 26 AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 27 TRAINING & CONSULTING: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 28 TRAINING & CONSULTING: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 29 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 30 SYSTEM INTEGRATION & IMPLEMENTATION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 31 SUPPORT & MAINTENANCE: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 32 SUPPORT & MAINTENANCE: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 33 MANAGED SERVICES: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 34 MANAGED SERVICES: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 35 AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 36 AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 37 AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 38 AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 39 FOSSIL FUELS: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 40 FOSSIL FUELS: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 41 NUCLEAR ENERGY: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 42 NUCLEAR ENERGY: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 43 OTHER CONVENTIONAL ENERGY TYPES: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 44 OTHER CONVENTIONAL ENERGY TYPES: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 45 AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 46 AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 47 SOLAR: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 48 SOLAR: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 49 WIND: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 50 WIND: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 51 HYDROPOWER: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 52 HYDROPOWER: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 53 BIOMASS: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 54 BIOMASS: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 55 OTHER RENEWABLE ENERGY TYPES: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 56 OTHER RENEWABLE ENERGY TYPES: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 57 AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 58 AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 59 GENERATIVE AI: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 60 GENERATIVE AI: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 61 OTHER AI: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 62 OTHER AI: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 63 AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 64 AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 65 ENERGY DEMAND FORECASTING: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 66 ENERGY DEMAND FORECASTING: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 67 GRID OPTIMIZATION & MANAGEMENT: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 68 GRID OPTIMIZATION & MANAGEMENT: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 69 ENERGY STORAGE OPTIMIZATION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 70 ENERGY STORAGE OPTIMIZATION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 71 RENEWABLES INTEGRATION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 72 RENEWABLES INTEGRATION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 73 ENERGY TRADING & MARKET FORECASTING: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 74 ENERGY TRADING & MARKET FORECASTING: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 75 ENERGY SUSTAINABILITY MANAGEMENT: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 76 ENERGY SUSTAINABILITY MANAGEMENT: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 77 DISASTER RESILIENCE & RECOVERY: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 78 DISASTER RESILIENCE & RECOVERY: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 79 OTHER APPLICATIONS: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 80 OTHER APPLICATIONS: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 81 AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 82 AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 83 GENERATION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 84 GENERATION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 85 TRANSMISSION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 86 TRANSMISSION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 87 DISTRIBUTION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 88 DISTRIBUTION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 89 CONSUMPTION: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 90 CONSUMPTION: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 91 AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 92 AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 93 COMMERCIAL: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 94 COMMERCIAL: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 95 INDUSTRIAL: AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 96 INDUSTRIAL: AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 97 AI IN ENERGY MARKET, BY REGION, 2019-2023 (USD MILLION)
• TABLE 98 AI IN ENERGY MARKET, BY REGION, 2024-2030 (USD MILLION)
• TABLE 99 NORTH AMERICA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 100 NORTH AMERICA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 101 NORTH AMERICA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 102 NORTH AMERICA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 103 NORTH AMERICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 104 NORTH AMERICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 105 NORTH AMERICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 106 NORTH AMERICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 107 NORTH AMERICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 108 NORTH AMERICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 109 NORTH AMERICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 110 NORTH AMERICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 111 NORTH AMERICA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 112 NORTH AMERICA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 113 NORTH AMERICA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 114 NORTH AMERICA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 115 NORTH AMERICA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 116 NORTH AMERICA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 117 NORTH AMERICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 118 NORTH AMERICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 119 NORTH AMERICA: AI IN ENERGY MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 120 NORTH AMERICA: AI IN ENERGY MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 121 US: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 122 US: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 123 US: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 124 US: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 125 US: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 126 US: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 127 US: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 128 US: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 129 US: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 130 US: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 131 US: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 132 US: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 133 US: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 134 US: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 135 US: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 136 US: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 137 US: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 138 US: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 139 US: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 140 US: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 141 CANADA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 142 CANADA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 143 CANADA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 144 CANADA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 145 CANADA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 146 CANADA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 147 CANADA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 148 CANADA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 149 CANADA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 150 CANADA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 151 CANADA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 152 CANADA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 153 CANADA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 154 CANADA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 155 CANADA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 156 CANADA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 157 CANADA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 158 CANADA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 159 CANADA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 160 CANADA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 161 EUROPE: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 162 EUROPE: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 163 EUROPE: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 164 EUROPE: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 165 EUROPE: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 166 EUROPE: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 167 EUROPE: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 168 EUROPE: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 169 EUROPE: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 170 EUROPE: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 171 EUROPE: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 172 EUROPE: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 173 EUROPE: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 174 EUROPE: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 175 EUROPE: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 176 EUROPE: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 177 EUROPE: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 178 EUROPE: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 179 EUROPE: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 180 EUROPE: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 181 EUROPE: AI IN ENERGY MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 182 EUROPE: AI IN ENERGY MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 183 GERMANY: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 184 GERMANY: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 185 GERMANY: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 186 GERMANY: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 187 GERMANY: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 188 GERMANY: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 189 GERMANY: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 190 GERMANY: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 191 GERMANY: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 192 GERMANY: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 193 GERMANY: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 194 GERMANY: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 195 GERMANY: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 196 GERMANY: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 197 GERMANY: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 198 GERMANY: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 199 GERMANY: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 200 GERMANY: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 201 GERMANY: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 202 GERMANY: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 203 ASIA PACIFIC: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 204 ASIA PACIFIC: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 205 ASIA PACIFIC: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 206 ASIA PACIFIC: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 207 ASIA PACIFIC: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 208 ASIA PACIFIC: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 209 ASIA PACIFIC: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 210 ASIA PACIFIC: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 211 ASIA PACIFIC: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 212 ASIA PACIFIC: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 213 ASIA PACIFIC: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 214 ASIA PACIFIC: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 215 ASIA PACIFIC: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 216 ASIA PACIFIC: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 217 ASIA PACIFIC: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 218 ASIA PACIFIC: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 219 ASIA PACIFIC: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 220 ASIA PACIFIC: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 221 ASIA PACIFIC: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 222 ASIA PACIFIC: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 223 ASIA PACIFIC: AI IN ENERGY MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 224 ASIA PACIFIC: AI IN ENERGY MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 225 CHINA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 226 CHINA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 227 CHINA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 228 CHINA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 229 CHINA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 230 CHINA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 231 CHINA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 232 CHINA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 233 CHINA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 234 CHINA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 235 CHINA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 236 CHINA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 237 CHINA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 238 CHINA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 239 CHINA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 240 CHINA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 241 CHINA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 242 CHINA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 243 CHINA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 244 CHINA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 245 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 246 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 247 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 248 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 249 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 250 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 251 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 252 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 253 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 254 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 255 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 256 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 257 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 258 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 259 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 260 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 261 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 262 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 263 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 264 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 265 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 266 MIDDLE EAST & AFRICA: AI IN ENERGY MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 267 KSA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 268 KSA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 269 KSA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 270 KSA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 271 KSA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 272 KSA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 273 KSA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 274 KSA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 275 KSA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 276 KSA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 277 KSA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 278 KSA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 279 KSA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 280 KSA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 281 KSA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 282 KSA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 283 KSA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 284 KSA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 285 KSA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 286 KSA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 287 LATIN AMERICA: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 288 LATIN AMERICA: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 289 LATIN AMERICA: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 290 LATIN AMERICA: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 291 LATIN AMERICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 292 LATIN AMERICA: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 293 LATIN AMERICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 294 LATIN AMERICA: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 295 LATIN AMERICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 296 LATIN AMERICA: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 297 LATIN AMERICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 298 LATIN AMERICA: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 299 LATIN AMERICA: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 300 LATIN AMERICA: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 301 LATIN AMERICA: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 302 LATIN AMERICA: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 303 LATIN AMERICA: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 304 LATIN AMERICA: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 305 LATIN AMERICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 306 LATIN AMERICA: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 307 LATIN AMERICA: AI IN ENERGY MARKET, BY COUNTRY, 2019-2023 (USD MILLION)
• TABLE 308 LATIN AMERICA: AI IN ENERGY MARKET, BY COUNTRY, 2024-2030 (USD MILLION)
• TABLE 309 BRAZIL: AI IN ENERGY MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 310 BRAZIL: AI IN ENERGY MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 311 BRAZIL: AI IN ENERGY MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 312 BRAZIL: AI IN ENERGY MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 313 BRAZIL: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2019-2023 (USD MILLION)
• TABLE 314 BRAZIL: AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE, 2024-2030 (USD MILLION)
• TABLE 315 BRAZIL: AI IN ENERGY MARKET, BY ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 316 BRAZIL: AI IN ENERGY MARKET, BY ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 317 BRAZIL: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 318 BRAZIL: AI IN ENERGY MARKET, BY CONVENTIONAL ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 319 BRAZIL: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2019-2023 (USD MILLION)
• TABLE 320 BRAZIL: AI IN ENERGY MARKET, BY RENEWABLE ENERGY TYPE, 2024-2030 (USD MILLION)
• TABLE 321 BRAZIL: AI IN ENERGY MARKET, BY TYPE, 2019-2023 (USD MILLION)
• TABLE 322 BRAZIL: AI IN ENERGY MARKET, BY TYPE, 2024-2030 (USD MILLION)
• TABLE 323 BRAZIL: AI IN ENERGY MARKET, BY APPLICATION, 2019-2023 (USD MILLION)
• TABLE 324 BRAZIL: AI IN ENERGY MARKET, BY APPLICATION, 2024-2030 (USD MILLION)
• TABLE 325 BRAZIL: AI IN ENERGY MARKET, BY END USE, 2019-2023 (USD MILLION)
• TABLE 326 BRAZIL: AI IN ENERGY MARKET, BY END USE, 2024-2030 (USD MILLION)
• TABLE 327 BRAZIL: AI IN ENERGY MARKET, BY CONSUMPTION, 2019-2023 (USD MILLION)
• TABLE 328 BRAZIL: AI IN ENERGY MARKET, BY CONSUMPTION, 2024-2030 (USD MILLION)
• TABLE 329 OVERVIEW OF STRATEGIES ADOPTED BY KEY AI IN ENERGY MARKET PLAYERS, 2021-2024
• TABLE 330 AI IN ENERGY MARKET: DEGREE OF COMPETITION
• TABLE 331 AI IN ENERGY MARKET: REGION FOOTPRINT
• TABLE 332 AI IN ENERGY MARKET: OFFERING FOOTPRINT
• TABLE 333 AI IN ENERGY MARKET: ENERGY TYPE FOOTPRINT
• TABLE 334 AI IN ENERGY MARKET: TYPE FOOTPRINT
• TABLE 335 AI IN ENERGY MARKET: APPLICATION FOOTPRINT
• TABLE 336 AI IN ENERGY MARKET: END-USE FOOTPRINT
• TABLE 337 AI IN ENERGY MARKET: LIST OF KEY STARTUPS/SMES
• TABLE 338 COMPETITIVE BENCHMARKING OF KEY STARTUPS/SMES
• TABLE 339 AI IN ENERGY MARKET: PRODUCT LAUNCHES AND ENHANCEMENTS, MAY 2024-DECEMBER 2024
• TABLE 340 AI IN ENERGY MARKET: DEALS, NOVEMBER 2023-JANUARY 2025
• TABLE 341 SCHNEIDER ELECTRIC SE: COMPANY OVERVIEW
• TABLE 342 SCHNEIDER ELECTRIC SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 343 SCHNEIDER ELECTRIC SE: PRODUCT LAUNCHES AND ENHANCEMENTS
• TABLE 344 SCHNEIDER ELECTRIC SE: DEALS
• TABLE 345 GE VERNOVA: COMPANY OVERVIEW
• TABLE 346 GE VERNOVA: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 347 GE VERNOVA: PRODUCT LAUNCHES AND ENHANCEMENTS
• TABLE 348 GE VERNOVA: DEALS
• TABLE 349 ABB LTD.: COMPANY OVERVIEW
• TABLE 350 ABB LTD.: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 351 ABB LTD.: DEALS
• TABLE 352 HONEYWELL INTERNATIONAL: COMPANY OVERVIEW
• TABLE 353 HONEYWELL INTERNATIONAL: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 354 HONEYWELL INTERNATIONAL: PRODUCT LAUNCHES AND ENHANCEMENTS
• TABLE 355 HONEYWELL INTERNATIONAL: DEALS
• TABLE 356 SIEMENS AG: COMPANY OVERVIEW
• TABLE 357 SIEMENS AG: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 358 SIEMENS AG: DEALS
• TABLE 359 ORACLE: COMPANY OVERVIEW
• TABLE 360 ORACLE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 361 ORACLE: DEALS
• TABLE 362 VESTAS: COMPANY OVERVIEW
• TABLE 363 VESTAS: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 364 VESTAS: DEALS
• TABLE 365 IBM: COMPANY OVERVIEW
• TABLE 366 IBM: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 367 IBM: DEALS
• TABLE 368 MICROSOFT: COMPANY OVERVIEW
• TABLE 369 MICROSOFT: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 370 MICROSOFT: DEALS
• TABLE 371 AMAZON WEB SERVICES: COMPANY OVERVIEW
• TABLE 372 AMAZON WEB SERVICES: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 373 AMAZON WEB SERVICES: DEALS
• TABLE 374 ATOS SE: COMPANY OVERVIEW
• TABLE 375 ATOS SE: PRODUCTS/SOLUTIONS/SERVICES OFFERED
• TABLE 376 ATOS SE: PRODUCT LAUNCHES AND ENHANCEMENTS
• TABLE 377 ATOS SE: DEALS
• TABLE 378 CONVERSATIONAL AI MARKET, BY OFFERING, 2019-2023 (USD MILLION)
• TABLE 379 CONVERSATIONAL AI MARKET, BY OFFERING, 2024-2030 (USD MILLION)
• TABLE 380 CONVERSATIONAL AI MARKET, BY SERVICE, 2019-2023 (USD MILLION)
• TABLE 381 CONVERSATIONAL AI MARKET, BY SERVICE, 2024-2030 (USD MILLION)
• TABLE 382 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2019-2023 (USD MILLION)
• TABLE 383 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION, 2024-2030 (USD MILLION)
• TABLE 384 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2019-2023 (USD MILLION)
• TABLE 385 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE, 2024-2030 (USD MILLION)
• TABLE 386 CONVERSATIONAL AI MARKET, BY VERTICAL, 2019-2023 (USD MILLION)
• TABLE 387 CONVERSATIONAL AI MARKET, BY VERTICAL, 2024-2030 (USD MILLION)
• TABLE 388 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING, 2017-2022 (USD MILLION)
• TABLE 389 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING, 2023-2028 (USD MILLION)
• TABLE 390 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE, 2017-2022 (USD MILLION)
• TABLE 391 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE, 2023-2028 (USD MILLION)
• TABLE 392 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2017-2022 (USD MILLION)
• TABLE 393 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE, 2023-2028 (USD MILLION)
• TABLE 394 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL, 2017-2022 (USD MILLION)
• TABLE 395 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL, 2023-2028 (USD MILLION)

List of Figures

• FIGURE 1 AI IN ENERGY MARKET: RESEARCH DESIGN
• FIGURE 2 BREAKDOWN OF PRIMARY INTERVIEWS, BY COMPANY TYPE, DESIGNATION, AND REGION
• FIGURE 3 AI IN ENERGY MARKET: TOP-DOWN AND BOTTOM-UP APPROACHES
• FIGURE 4 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 1 (SUPPLY SIDE): REVENUE OF VENDORS IN AI IN ENERGY MARKET
• FIGURE 5 MARKET SIZE ESTIMATION METHODOLOGY - APPROACH 2 (DEMAND SIDE): AI IN ENERGY MARKET
• FIGURE 6 MARKET SIZE ESTIMATION METHODOLOGY: DEMAND-SIDE ANALYSIS
• FIGURE 7 MARKET SIZE ESTIMATION USING BOTTOM-UP APPROACH
• FIGURE 8 DATA TRIANGULATION
• FIGURE 9 AI IN ENERGY MARKET, 2022-2030 (USD MILLION)
• FIGURE 10 AI IN ENERGY MARKET, BY REGION (2024)
• FIGURE 11 SURGING NEED FOR MONITORING EMISSIONS, OPTIMIZING ENERGY USE, AND ADVANCING CARBON-NEUTRAL TARGETS TO DRIVE MARKET
• FIGURE 12 SOLUTIONS SEGMENT TO DOMINATE MARKET DURING FORECAST PERIOD
• FIGURE 13 MANAGED SERVICES SEGMENT TO ACCOUNT FOR HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 14 TRAINING & CONSULTING SEGMENT TO ACCOUNT FOR LARGEST SHARE DURING FORECAST PERIOD
• FIGURE 15 GRID OPTIMIZATION & MANAGEMENT SEGMENT TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
• FIGURE 16 CONVENTIONAL ENERGY SEGMENT TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
• FIGURE 17 GENERATION TO ACCOUNT FOR LARGEST MARKET SHARE DURING FORECAST PERIOD
• FIGURE 18 OTHER AI TO ACCOUNT FOR LARGER MARKET SHARE DURING FORECAST PERIOD
• FIGURE 19 SOLUTIONS & GENERATION SEGMENTS TO ACCOUNT FOR SIGNIFICANT MARKET SHARES IN 2024
• FIGURE 20 DRIVERS, RESTRAINTS, OPPORTUNITIES, AND CHALLENGES: AI IN ENERGY MARKET
• FIGURE 21 EVOLUTION OF AI IN ENERGY MARKET
• FIGURE 22 KEY PLAYERS IN AI IN ENERGY MARKET ECOSYSTEM
• FIGURE 23 AI IN ENERGY MARKET: SUPPLY CHAIN ANALYSIS
• FIGURE 24 AVERAGE SELLING PRICE, BY RENEWABLE ENERGY TYPE
• FIGURE 25 LIST OF MAJOR PATENTS FOR AI IN ENERGY SOLUTIONS
• FIGURE 26 AI IN ENERGY MARKET: PORTER'S FIVE FORCES ANALYSIS
• FIGURE 27 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• FIGURE 28 INFLUENCE OF STAKEHOLDERS ON BUYING PROCESS FOR TOP THREE END USES
• FIGURE 29 KEY BUYING CRITERIA FOR TOP THREE END USES
• FIGURE 30 AI IN ENERGY MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
• FIGURE 31 PROCESSORS AND CONTROLLERS EXPORT, BY KEY COUNTRY, 2016-2023 (USD BILLION)
• FIGURE 32 PROCESSORS AND CONTROLLERS IMPORT, BY KEY COUNTRY, 2016-2023 (USD BILLION)
• FIGURE 33 INVESTMENT AND FUNDING SCENARIO
• FIGURE 34 USE CASES OF GENERATIVE AI IN ENERGY SECTOR
• FIGURE 35 SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 36 MANAGED SERVICES SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 37 SUPPORT & MAINTENANCE SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 38 RENEWABLE ENERGY SEGMENT TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 39 GENERATIVE AI TO GROW AT HIGHER CAGR DURING FORECAST PERIOD
• FIGURE 40 ENERGY STORAGE OPTIMIZATION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 41 TRANSMISSION SEGMENT TO GROW AT HIGHEST CAGR DURING FORECAST PERIOD
• FIGURE 42 NORTH AMERICA: AI IN ENERGY MARKET SNAPSHOT
• FIGURE 43 ASIA PACIFIC: AI IN ENERGY MARKET SNAPSHOT
• FIGURE 44 SHARE OF LEADING COMPANIES IN AI IN ENERGY MARKET, 2024
• FIGURE 45 MARKET RANKING ANALYSIS OF TOP FIVE PLAYERS
• FIGURE 46 REVENUE ANALYSIS OF KEY PLAYERS IN AI IN ENERGY MARKET, 2019-2023 (USD MILLION)
• FIGURE 47 AI IN ENERGY MARKET: COMPANY EVALUATION MATRIX (KEY PLAYERS), 2024
• FIGURE 48 AI IN ENERGY MARKET: COMPANY FOOTPRINT
• FIGURE 49 AI IN ENERGY MARKET: COMPANY EVALUATION MATRIX (STARTUPS/SMES), 2024
• FIGURE 50 BRAND/PRODUCT COMPARISON
• FIGURE 51 COMPANY VALUATION
• FIGURE 52 FINANCIAL METRICS
• FIGURE 53 SCHNEIDER ELECTRIC SE: COMPANY SNAPSHOT
• FIGURE 54 ABB LTD.: COMPANY SNAPSHOT
• FIGURE 55 HONEYWELL INTERNATIONAL: COMPANY SNAPSHOT
• FIGURE 56 SIEMENS AG: COMPANY SNAPSHOT
• FIGURE 57 ORACLE: COMPANY SNAPSHOT
• FIGURE 58 VESTAS: COMPANY SNAPSHOT
• FIGURE 59 IBM: COMPANY SNAPSHOT
• FIGURE 60 MICROSOFT: COMPANY SNAPSHOT
• FIGURE 61 AMAZON WEB SERVICES: COMPANY SNAPSHOT
• FIGURE 62 ATOS SE: COMPANY SNAPSHOT

The AI in energy market is estimated at USD 8.91 billion in 2024 to USD 58.66 billion by 2030, at a Compound Annual Growth Rate (CAGR) of 36.9%. AI-based methods and ML techniques are expected to help buildings run more efficiently and provide greater comfort levels to occupants. Buildings and HVAC systems have been designed, constructed, and commissioned as fixed systems and with static environmental assumptions. This can lead to inefficiencies because building use, occupancy, and environmental factors change over time. AI can be applied to parse data collected by building systems and integrate with controls to continuously adjust setpoints to optimize HVAC performance while maintaining or improving occupant comfort. AI-based methods can provide additional. Controls to the operators, enabling increased load flexibility of buildings for participation in Virtual Power Plants (VPPs).

"By energy type, conventional energy segment to hold the largest market size during the forecast period."

Artificial intelligence is increasingly being integrated into the more traditional energy sectors such as coal, oil, natural gas, and nuclear energy to make it much more efficient, safe, and sustainable. In fossil fuel-based energy generation, AI optimizes resource extraction, improves plant performance, and enables predictive maintenance that reduces downtime and operational costs. Using coal, oil, and natural gas, AI systems can forecast demand fluctuations, adjust supply levels, and monitor emissions, helping operators comply with environmental regulations. With nuclear energy, AI ensures safety by monitoring reactor conditions and predicting anomalies while automating response mechanisms, hence increasing the overall plant reliability. In addition, AI use supports the development of better extracting processes and fewer operational risks in other conventional energy sources, such as peat, oil shale, and tar sands, toward sustainability in energy production. In doing so, AI is redefining the conventional energy landscape, ensuring it is more efficient, safe, and environmentally friendly.

"The services segment to register the fastest growth rate during the forecast period."

In the AI-driven energy sector, services such as training, consulting, deploying, integrating systems, supporting, and maintenance are critical for operation optimization in generation, distribution, and consumption across an entire power system. Professional services aid energy companies in identifying specific needs using AI solutions, with potential expertise in grid optimization, energy forecasting, and smart grid management. Deployment and integration services guarantee the smooth integration of AI systems with existing energy infrastructures. Support and maintenance ensure that the AI-powered solutions stay up and running with swift troubleshooting and updates, ensuring maximum uptime. Managed services allow energy companies to step back from AI solutions, as external providers handle them to improve efficiency and minimize operational costs. Together, these services empower energy organizations to use AI technologies holistically to drive operational excellence and innovation across the value chain.

"Asia Pacific to hold the highest market growth rate during the forecast period."

In October 2023, BluWave-ai expanded its business in the Japanese market using AI-driven energy optimization technology. BluWave-ai introduced its technology from global AI deployments to enable the energy transition in Japan by optimizing energy at industrial grid-attached plants with solar generation and battery storage. It partnered with Japanese engineering companies and completed a project at an industrial R&D center. The work included optimization of rooftop solar, battery storage, and biomass generation systems. The Smart Grid Optimizer did some incredible feats such as 20% peak demand reduction, 100% utilization of renewable energy without reverse power flow and significant savings in energy costs. By November 2024, ZTE Corporation and China Mobile developed an AI-driven Green Telco Cloud that dynamically adjusts computing resources using load-based network adjustments toward making energy use in telecommunications networks optimal. In China in November 2024, ZTE Corporation and China Mobile developed an AI-driven Green Telco Cloud that makes energy use in telecommunications networks optimal with load-based network adjustments dynamically adjusting computing resources.

In-depth interviews have been conducted with chief executive officers (CEOs), Directors, and other executives from various key organizations operating in the AI in energy market.

• By Company Type: Tier 1 - 40%, Tier 2 - 35%, and Tier 3 - 25%
• By Designation: Directors -25%, Managers - 35%, and Others - 40%
• By Region: North America - 37%, Europe - 42%, Asia Pacific - 21

The major players in the AI in energy market include Schneider Electric SE (France), GE Vernova (US), ABB Ltd (Switzerland), Honeywell International (US), Siemens AG (Germany), AWS (US), IBM (US), Microsoft (US), Oracle (US), Vestas Wind Systems A/S (Denmark), Atos zData (US), C3.ai (US), Tesla (US), Alpiq (Switzerland), Enel group (Italy), Origami Energy (UK), Innowatts (US), Irasus technologies (India), Grid4C (US), Uplight (US), GridBeyond (Ireland), eSmart Systems (Norway), Ndustrial (US), Datategy (France), Omdena (US). These players have adopted various growth strategies, such as partnerships, agreements and collaborations, new product launches, enhancements, and acquisitions to expand their AI in energy market footprint.

Research Coverage

The market study covers the AI in energy market size across different segments. It aims at estimating the market size and the growth potential across various segments, including by offering (solutions and services (professional services, managed services) by energy type (conventional energy (fossil fuels, nuclear energy, other conventional energy types) renewable energy (solar, wind, hydropower, biomass, other renewable energy types) by type (Generative AI, other AI), by application (energy demand forecasting, grid optimization & management, energy storage optimization , renewables integration , energy trading & market forecasting, energy sustainability management, disaster resilience and recovery, other applications (energy theft detection and customer management)) by end use (generation, transmission , distribution, consumption(commercial, industrial)) and Region (North America, Europe, Asia Pacific, Middle East & Africa, and Latin America). The study includes an in-depth competitive analysis of the leading market players, their company profiles, key observations related to product and business offerings, recent developments, and market strategies.

Key Benefits of Buying the Report

The report will help the market leaders/new entrants with information on the closest approximations of the global AI in energy market's revenue numbers and subsegments. This report will help stakeholders understand the competitive landscape and gain more insights to position their businesses better and plan suitable go-to-market strategies. Moreover, the report will provide insights for stakeholders to understand the market's pulse and provide them with information on key market drivers, restraints, challenges, and opportunities.

The report provides insights on the following pointers:

Analysis of key drivers (energy market volatility and risk management, rising consumer demand for smart energy solutions, AI-Powered robots increasing energy sector worker safety), restraints (data privacy and security, high implementation cost) opportunities (increasing shift towards carbon emission reduction and sustainability, renewable energy integration), and challenges (insufficient real-time energy data limiting the training and deployment of AI models, lack of skilled professionals in AI and energy analytics.) influencing the growth of the AI in energy market.

Product Development/Innovation: Detailed insights on upcoming technologies, research & development activities, and new product & service launches in the AI in energy market.

Market Development: The report provides comprehensive information about lucrative markets and analyses the AI in energy market across various regions.

Market Diversification: Exhaustive information about new products & services, untapped geographies, recent developments, and investments in the AI in energy market.

Competitive Assessment: In-depth assessment of market shares, growth strategies and service offerings of leading include include Schneider Electric SE (France), GE Vernova (US), ABB Ltd (Switzerland), Honeywell International (US), Siemens AG (Germany), AWS (US), IBM (US), Microsoft (US), Oracle (US), Vestas Wind Systems A/S (Denmark), Atos zData (US), C3.ai (US), Tesla (US), Alpiq (Switzerland), Enel group (Italy), Origami Energy (UK), Innowatts (US), Irasus technologies (India), Grid4C (US), Uplight (US), GridBeyond (Ireland), eSmart Systems (Norway), Ndustrial (US), Datategy (France), Omdena (US).

TABLE OF CONTENTS

1 INTRODUCTION

• 1.1 STUDY OBJECTIVES
• 1.2 MARKET DEFINITION
• 1.3 STUDY SCOPE
  • 1.3.1 MARKET SEGMENTATION
  • 1.3.2 INCLUSIONS AND EXCLUSIONS
• 1.4 YEARS CONSIDERED
• 1.5 CURRENCY CONSIDERED
• 1.6 STAKEHOLDERS

2 RESEARCH METHODOLOGY

• 2.1 RESEARCH DATA
  • 2.1.1 SECONDARY DATA
  • 2.1.2 PRIMARY DATA
    • 2.1.2.1 Primary interviews with experts
    • 2.1.2.2 Breakdown of primary profiles
    • 2.1.2.3 Key insights from industry experts
• 2.2 MARKET SIZE ESTIMATION
  • 2.2.1 TOP-DOWN APPROACH
  • 2.2.2 BOTTOM-UP APPROACH
  • 2.2.3 AI IN ENERGY MARKET ESTIMATION: DEMAND-SIDE ANALYSIS
• 2.3 DATA TRIANGULATION
• 2.4 LIMITATIONS AND RISK ASSESSMENT
• 2.5 RESEARCH ASSUMPTIONS
• 2.6 RESEARCH LIMITATIONS

3 EXECUTIVE SUMMARY

4 PREMIUM INSIGHTS

• 4.1 OPPORTUNITIES FOR KEY PLAYERS IN AI IN ENERGY MARKET
• 4.2 AI IN ENERGY MARKET, BY OFFERING
• 4.3 AI IN ENERGY MARKET, BY SERVICE
• 4.4 AI IN ENERGY MARKET, BY PROFESSIONAL SERVICE
• 4.5 AI IN ENERGY MARKET, BY APPLICATION
• 4.6 AI IN ENERGY MARKET, BY ENERGY TYPE
• 4.7 AI IN ENERGY MARKET, BY END USE
• 4.8 AI IN ENERGY MARKET, BY TYPE
• 4.9 NORTH AMERICA: AI IN ENERGY MARKET, BY OFFERING AND END USE

5 MARKET OVERVIEW AND INDUSTRY TRENDS

• 5.1 INTRODUCTION
• 5.2 MARKET DYNAMICS
  • 5.2.1 DRIVERS
    • 5.2.1.1 Energy market volatility and risk management
    • 5.2.1.2 Rising consumer demand for smart energy solutions
    • 5.2.1.3 AI-powered robots increasing energy sector worker safety
  • 5.2.2 RESTRAINTS
    • 5.2.2.1 Data privacy and security
    • 5.2.2.2 High implementation costs
  • 5.2.3 OPPORTUNITIES
    • 5.2.3.1 Increasing shift toward carbon emission reduction and sustainability
    • 5.2.3.2 Renewable energy integration
  • 5.2.4 CHALLENGES
    • 5.2.4.1 Insufficient real-time energy data limiting training and deployment of AI models
    • 5.2.4.2 Lack of skilled professionals in AI and energy analytics
• 5.3 BRIEF HISTORY OF AI IN ENERGY MARKET
• 5.4 ECOSYSTEM ANALYSIS
• 5.5 CASE STUDY ANALYSIS
  • 5.5.1 OPTIMIZING ENERGY EFFICIENCY ACROSS PORTFOLIOS: BLACKSTONE'S STRATEGIC PARTNERSHIP WITH SCHNEIDER ELECTRIC
  • 5.5.2 C3 AI ENERGY MANAGEMENT PLATFORM HELPED LEADING PETROCHEMICAL COMPANY BOOST ENERGY EFFICIENCY AND ENVIRONMENTAL PERFORMANCE
  • 5.5.3 ENVERUS INSTANT ANALYST ENABLED ENERGY COMPANIES IMPROVE DECISION-MAKING AND OPERATIONAL EFFICIENCY
  • 5.5.4 AI-POWERED MICROGRIDS FACILITATED ENERGY RESILIENCE AND EQUITY IN REGIONAL COMMUNITIES
  • 5.5.5 C3 AI ENERGY MANAGEMENT PLATFORM HELPED LEADING STEEL MANUFACTURER GAIN SUBSTANTIAL COST SAVINGS AND OPERATIONAL IMPROVEMENTS
• 5.6 SUPPLY CHAIN ANALYSIS
• 5.7 TARIFF AND REGULATORY LANDSCAPE
  • 5.7.1 TARIFF RELATED TO PROCESSORS AND CONTROLLERS (HSN: 854231)
  • 5.7.2 REGULATORY BODIES, GOVERNMENT AGENCIES, AND OTHER ORGANIZATIONS
  • 5.7.3 KEY REGULATIONS: AI IN ENERGY
    • 5.7.3.1 North America
      • 5.7.3.1.1 SCR 17: Artificial Intelligence Bill (California)
      • 5.7.3.1.2 S1103: Artificial Intelligence Automated Decision Bill (Connecticut)
      • 5.7.3.1.3 National Artificial Intelligence Initiative Act (NAIIA)
      • 5.7.3.1.4 The Artificial Intelligence and Data Act (AIDA) - Canada
    • 5.7.3.2 Europe
      • 5.7.3.2.1 European Union (EU) - Artificial Intelligence Act (AIA)
      • 5.7.3.2.2 General Data Protection Regulation (Europe)
    • 5.7.3.3 Asia Pacific
      • 5.7.3.3.1 Interim Administrative Measures for Generative Artificial Intelligence Services (China)
      • 5.7.3.3.2 National AI Strategy (Singapore)
      • 5.7.3.3.3 Hiroshima AI Process Comprehensive Policy Framework (Japan)
    • 5.7.3.4 Middle East & Africa
      • 5.7.3.4.1 National Strategy for Artificial Intelligence (UAE)
      • 5.7.3.4.2 National Artificial Intelligence Strategy (Qatar)
      • 5.7.3.4.3 AI Ethics Principles and Guidelines (Dubai)
    • 5.7.3.5 Latin America
      • 5.7.3.5.1 Santiago Declaration (Chile)
      • 5.7.3.5.2 Brazilian Artificial Intelligence Strategy (EBIA)
• 5.8 PRICING ANALYSIS
  • 5.8.1 AVERAGE SELLING PRICE, BY RENEWABLE ENERGY TYPE
  • 5.8.2 INDICATIVE PRICING ANALYSIS, BY OFFERING, 2024
• 5.9 TECHNOLOGY ANALYSIS
  • 5.9.1 KEY TECHNOLOGIES
    • 5.9.1.1 Conversational AI
    • 5.9.1.2 Energy modeling and simulation tools
    • 5.9.1.3 AutoML
    • 5.9.1.4 MLOps
  • 5.9.2 COMPLEMENTARY TECHNOLOGIES
    • 5.9.2.1 Blockchain
    • 5.9.2.2 Edge computing
    • 5.9.2.3 Sensors and robotics
    • 5.9.2.4 Cybersecurity
    • 5.9.2.5 Big data
    • 5.9.2.6 IoT
  • 5.9.3 ADJACENT TECHNOLOGIES
    • 5.9.3.1 Smart grids
    • 5.9.3.2 Robotics
    • 5.9.3.3 Geospatial technologies
• 5.10 PATENT ANALYSIS
  • 5.10.1 LIST OF MAJOR PATENTS
• 5.11 PORTER'S FIVE FORCES ANALYSIS
  • 5.11.1 THREAT OF NEW ENTRANTS
  • 5.11.2 THREAT OF SUBSTITUTES
  • 5.11.3 BARGAINING POWER OF BUYERS
  • 5.11.4 BARGAINING POWER OF SUPPLIERS
  • 5.11.5 INTENSITY OF COMPETITIVE RIVALRY
• 5.12 TRENDS/DISRUPTIONS IMPACTING CUSTOMER BUSINESS
• 5.13 KEY STAKEHOLDERS AND BUYING CRITERIA
  • 5.13.1 KEY STAKEHOLDERS IN BUYING PROCESS
  • 5.13.2 BUYING CRITERIA
• 5.14 KEY CONFERENCES AND EVENTS, 2024-2025
• 5.15 TECHNOLOGY ROADMAP FOR AI IN ENERGY MARKET
  • 5.15.1 SHORT-TERM ROADMAP (2023-2025)
  • 5.15.2 MID-TERM ROADMAP (2026-2028)
  • 5.15.3 LONG-TERM ROADMAP (2029-2030)
• 5.16 BEST PRACTICES IN AI IN ENERGY MARKET
  • 5.16.1 ENSURE DATA QUALITY AND INTEGRATION
  • 5.16.2 ADOPT AI-POWERED PREDICTIVE MAINTENANCE
  • 5.16.3 FOSTER COLLABORATION AMONG STAKEHOLDERS
  • 5.16.4 PRIORITIZE SCALABILITY AND FLEXIBILITY
  • 5.16.5 FOCUS ON ETHICAL AI IMPLEMENTATION
  • 5.16.6 INVEST IN AI-DRIVEN ENERGY TRADING PLATFORMS
  • 5.16.7 IMPLEMENT AI FOR ENERGY FORECASTING AND LOAD MANAGEMENT
  • 5.16.8 ENHANCE CUSTOMER ENGAGEMENT WITH AI SOLUTIONS
• 5.17 CURRENT AND EMERGING BUSINESS MODELS
  • 5.17.1 ENERGY-AS-A-SERVICE (EAAS)
  • 5.17.2 PREDICTIVE MAINTENANCE CONTRACTS
  • 5.17.3 AI-DRIVEN TRADING PLATFORMS
  • 5.17.4 GRID FLEXIBILITY SOLUTIONS
  • 5.17.5 SUSTAINABILITY-AS-A-SERVICE
  • 5.17.6 REMOTE ENERGY MONITORING AND MANAGEMENT
  • 5.17.7 GREEN FINANCE AND AI-POWERED CREDIT SCORING
  • 5.17.8 AI-BASED ENERGY EFFICIENCY AUDITS AND RETROFITTING SERVICES
• 5.18 AI IN ENERGY MARKET: TOOLS, FRAMEWORKS, AND TECHNIQUES
• 5.19 TRADE ANALYSIS (8542)
  • 5.19.1 EXPORT SCENARIO OF PROCESSORS AND CONTROLLERS
  • 5.19.2 IMPORT SCENARIO OF PROCESSORS AND CONTROLLERS
• 5.20 INVESTMENT AND FUNDING SCENARIO
• 5.21 IMPACT OF AI/GEN AI ON AI IN ENERGY MARKET
  • 5.21.1 IMPACT OF AI/GEN AI ON ENERGY SECTOR
  • 5.21.2 USE CASES OF GEN AI IN ENERGY SECTOR

6 AI IN ENERGY MARKET, BY OFFERING

• 6.1 INTRODUCTION
  • 6.1.1 OFFERING: AI IN ENERGY MARKET DRIVERS
• 6.2 SOLUTIONS
  • 6.2.1 AI IN ENERGY SOLUTIONS TO DRIVE EFFICIENCY, SUSTAINABILITY, AND INNOVATION
• 6.3 SERVICES
  • 6.3.1 FOCUS ON CONTINUOUS MONITORING, MAINTENANCE, AND PERFORMANCE OPTIMIZATION TO BOOST MARKET
  • 6.3.2 PROFESSIONAL SERVICES
    • 6.3.2.1 Training & consulting
    • 6.3.2.2 System integration & implementation
    • 6.3.2.3 Support & maintenance
  • 6.3.3 MANAGED SERVICES

7 AI IN ENERGY MARKET, BY ENERGY TYPE

• 7.1 INTRODUCTION
  • 7.1.1 ENERGY TYPE: AI IN ENERGY MARKET DRIVERS
• 7.2 CONVENTIONAL ENERGY
  • 7.2.1 ENHANCED MONITORING AND OPERATIONAL OPTIMIZATION TO PROPEL MARKET GROWTH
  • 7.2.2 FOSSIL FUELS
    • 7.2.2.1 Coal
    • 7.2.2.2 Oil
    • 7.2.2.3 Natural gas
  • 7.2.3 NUCLEAR ENERGY
  • 7.2.4 OTHER CONVENTIONAL ENERGY TYPES
• 7.3 RENEWABLE ENERGY
  • 7.3.1 BETTER MAINTENANCE PRACTICES, RESOURCE ALLOCATION, AND INTEGRATION OF INNOVATIVE SOLUTIONS TO SUPPORT MARKET GROWTH
  • 7.3.2 SOLAR
  • 7.3.3 WIND
  • 7.3.4 HYDROPOWER
  • 7.3.5 BIOMASS
  • 7.3.6 OTHER RENEWABLE ENERGY TYPES

8 AI IN ENERGY MARKET, BY TYPE

• 8.1 INTRODUCTION
  • 8.1.1 TYPE: AI IN ENERGY MARKET DRIVERS
• 8.2 GENERATIVE AI
  • 8.2.1 GENERATION OF SYNTHETIC DATA THAT MIMICS REAL-WORLD CONDITIONS TO DRIVE MARKET
• 8.3 OTHER AI
  • 8.3.1 AI TECHNOLOGIES TO TRANSFORM ENERGY PROCESSES WITH SMARTER, FASTER, AND MORE ADAPTIVE SOLUTIONS
  • 8.3.2 MACHINE LEARNING
  • 8.3.3 NATURAL LANGUAGE PROCESSING
  • 8.3.4 PREDICTIVE ANALYTICS
  • 8.3.5 COMPUTER VISION

9 AI IN ENERGY MARKET, BY APPLICATION

• 9.1 INTRODUCTION
  • 9.1.1 APPLICATION: AI IN ENERGY MARKET DRIVERS
• 9.2 ENERGY DEMAND FORECASTING
  • 9.2.1 ALIGNING SUPPLY WITH ANTICIPATED DEMAND AND REAL-TIME DEMAND PREDICTIONS TO PROPEL MARKET GROWTH
• 9.3 GRID OPTIMIZATION & MANAGEMENT
  • 9.3.1 REAL-TIME MONITORING, ANALYSIS, AND CONTROL TO HELP TRANSFORM ENERGY NETWORKS INTO INTELLIGENT SYSTEMS
• 9.4 ENERGY STORAGE OPTIMIZATION
  • 9.4.1 PREDICTION OF ENERGY NEEDS AND IDENTIFICATION OF PERFORMANCE ANOMALIES IN STORAGE SYSTEMS TO AID MARKET GROWTH
• 9.5 RENEWABLES INTEGRATION
  • 9.5.1 SEAMLESS INCORPORATION OF VARIABLE ENERGY SOURCES INTO POWER GRIDS TO ENSURE EFFICIENCY AND RELIABILITY
• 9.6 ENERGY TRADING & MARKET FORECASTING
  • 9.6.1 CRUCIAL ROLE IN STREAMLINING OPERATIONS AND FOSTERING SUSTAINABLE ENERGY ECONOMIES TO SUPPORT MARKET GROWTH
• 9.7 ENERGY SUSTAINABILITY MANAGEMENT
  • 9.7.1 REAL-TIME MONITORING OF ENERGY CONSUMPTION TO DRIVE MARKET
• 9.8 DISASTER RESILIENCE & RECOVERY
  • 9.8.1 RISING DEMAND FOR MINIMIZING DOWNTIME AND ENSURING RELIABLE POWER DURING CRISES TO HELP MARKET GROWTH
• 9.9 OTHER APPLICATIONS

10 AI IN ENERGY MARKET, BY END USE

• 10.1 INTRODUCTION
  • 10.1.1 END USE: AI IN ENERGY MARKET DRIVERS
• 10.2 GENERATION
  • 10.2.1 REDUCED COSTS, ENHANCED SUSTAINABILITY, AND IMPROVED OPERATIONAL EFFICIENCY TO FOSTER MARKET GROWTH
• 10.3 TRANSMISSION
  • 10.3.1 RESILIENT, SUSTAINABLE, AND SECURE ENERGY INFRASTRUCTURE TO DRIVE MARKET
• 10.4 DISTRIBUTION
  • 10.4.1 OPTIMIZATION OF ENERGY DISTRIBUTION BY BALANCING LOAD DEMAND AND DETECTING FAULTS IN REAL TIME TO BOOST MARKET
• 10.5 CONSUMPTION
  • 10.5.1 OPTIMIZED ENERGY USAGE, REDUCED COSTS, AND ENHANCED SUSTAINABILITY TO FUEL MARKET GROWTH
  • 10.5.2 COMMERCIAL
  • 10.5.3 INDUSTRIAL

11 AI IN ENERGY MARKET, BY REGION

• 11.1 INTRODUCTION
• 11.2 NORTH AMERICA
  • 11.2.1 NORTH AMERICA: MACROECONOMIC OUTLOOK
  • 11.2.2 US
    • 11.2.2.1 Government initiatives and funding to boost market growth
  • 11.2.3 CANADA
    • 11.2.3.1 Increased focus on reducing energy consumption to fuel market growth
• 11.3 EUROPE
  • 11.3.1 EUROPE: MACROECONOMIC OUTLOOK
  • 11.3.2 GERMANY
    • 11.3.2.1 Significant investments and collaborative projects to drive market growth
  • 11.3.3 UK
    • 11.3.3.1 Key investments focused on cutting emissions in energy and transportation to drive market
  • 11.3.4 FRANCE
    • 11.3.4.1 Increased focus on reducing environmental impact of fossil fuels to accelerate market growth
  • 11.3.5 ITALY
    • 11.3.5.1 Public investments and collaboration between private players to drive market
  • 11.3.6 SPAIN
    • 11.3.6.1 Green energy initiatives and investments to aid market growth
  • 11.3.7 NORDICS
    • 11.3.7.1 Innovative AI-based projects to reduce energy consumption and government initiatives driving market growth
  • 11.3.8 REST OF EUROPE
• 11.4 ASIA PACIFIC
  • 11.4.1 ASIA PACIFIC: MACROECONOMIC OUTLOOK
  • 11.4.2 CHINA
    • 11.4.2.1 Rising demand for energy efficiency and sustainability to fuel market growth
  • 11.4.3 JAPAN
    • 11.4.3.1 Initiatives for reducing fossil fuel reliance to drive sustainable market growth
  • 11.4.4 INDIA
    • 11.4.4.1 Government initiatives for sustainable development and efficient resource management to foster market growth
  • 11.4.5 AUSTRALIA & NEW ZEALAND
    • 11.4.5.1 Increasing demand for smart home energy to drive market
  • 11.4.6 SOUTH KOREA
    • 11.4.6.1 Transformative shift driven by AI initiatives to bolster market growth
  • 11.4.7 ASEAN
    • 11.4.7.1 Growing integration of AI into energy systems to drive sustainability and efficiency
  • 11.4.8 REST OF ASIA PACIFIC
• 11.5 MIDDLE EAST & AFRICA
  • 11.5.1 MIDDLE EAST & AFRICA: MACROECONOMIC OUTLOOK
    • 11.5.1.1 KSA
      • 11.5.1.1.1 Increasing focus on reducing transmission losses and enhancing energy efficiency goals to aid market growth
    • 11.5.1.2 UAE
      • 11.5.1.2.1 Increasing energy demands and focus on reducing environmental footprints to foster market growth
    • 11.5.1.3 Kuwait
      • 11.5.1.3.1 Rising applications of AI for enhancing asset management, operational excellence, and technical capabilities to assist market growth
    • 11.5.1.4 Bahrain
      • 11.5.1.4.1 Digitalization in energy sector to drive growth
    • 11.5.1.5 South Africa
      • 11.5.1.5.1 Increasing awareness of sustainability and government commitments to create significant growth opportunities
    • 11.5.1.6 Rest of Middle East & Africa
• 11.6 LATIN AMERICA
  • 11.6.1 LATIN AMERICA: MACROECONOMIC OUTLOOK
  • 11.6.2 BRAZIL
    • 11.6.2.1 Government support, technological advancements, and skilled workforce to drive market
  • 11.6.3 ARGENTINA
    • 11.6.3.1 Government initiatives for optimizing energy consumption and integrating renewable sources to accelerate market growth
  • 11.6.4 MEXICO
    • 11.6.4.1 National AI strategy and increasing demand for energy forecasting to drive market
  • 11.6.5 REST OF LATIN AMERICA

12 COMPETITIVE LANDSCAPE

• 12.1 INTRODUCTION
• 12.2 KEY PLAYER STRATEGIES/RIGHT TO WIN, 2021-2024
• 12.3 MARKET SHARE ANALYSIS, 2024
  • 12.3.1 MARKET RANKING ANALYSIS
• 12.4 REVENUE ANALYSIS, 2019-2023
• 12.5 COMPANY EVALUATION MATRIX: KEY PLAYERS, 2024
  • 12.5.1 STARS
  • 12.5.2 EMERGING LEADERS
  • 12.5.3 PERVASIVE PLAYERS
  • 12.5.4 PARTICIPANTS
  • 12.5.5 COMPANY FOOTPRINT: KEY PLAYERS, 2024
    • 12.5.5.1 Company footprint
    • 12.5.5.2 Region footprint
    • 12.5.5.3 Offering footprint
    • 12.5.5.4 Energy type footprint
    • 12.5.5.5 Type footprint
    • 12.5.5.6 Application footprint
    • 12.5.5.7 End-use footprint
• 12.6 COMPANY EVALUATION MATRIX: STARTUPS/SMES, 2024
  • 12.6.1 PROGRESSIVE COMPANIES
  • 12.6.2 RESPONSIVE COMPANIES
  • 12.6.3 DYNAMIC COMPANIES
  • 12.6.4 STARTING BLOCKS
  • 12.6.5 COMPETITIVE BENCHMARKING: STARTUPS/SMES, 2024
    • 12.6.5.1 Detailed list of key startups/SMEs
    • 12.6.5.2 Competitive benchmarking of key startups/SMEs
• 12.7 COMPETITIVE SCENARIO
  • 12.7.1 PRODUCT LAUNCHES AND ENHANCEMENTS
  • 12.7.2 DEALS
• 12.8 BRAND/PRODUCT COMPARISON
• 12.9 COMPANY VALUATION AND FINANCIAL METRICS

13 COMPANY PROFILES

• 13.1 KEY PLAYERS
  • 13.1.1 SCHNEIDER ELECTRIC SE
    • 13.1.1.1 Business overview
    • 13.1.1.2 Products/Solutions/Services offered
    • 13.1.1.3 Recent developments
      • 13.1.1.3.1 Product launches and enhancements
      • 13.1.1.3.2 Deals
    • 13.1.1.4 MnM view
      • 13.1.1.4.1 Key strengths
      • 13.1.1.4.2 Strategic choices
      • 13.1.1.4.3 Weaknesses and competitive threats
  • 13.1.2 GE VERNOVA
    • 13.1.2.1 Business overview
    • 13.1.2.2 Products/Solutions/Services offered
    • 13.1.2.3 Recent developments
      • 13.1.2.3.1 Product launches and enhancements
      • 13.1.2.3.2 Deals
    • 13.1.2.4 MnM view
      • 13.1.2.4.1 Key strengths
      • 13.1.2.4.2 Strategic choices
      • 13.1.2.4.3 Weaknesses and competitive threats
  • 13.1.3 ABB LTD.
    • 13.1.3.1 Business overview
    • 13.1.3.2 Products/Solutions/Services offered
    • 13.1.3.3 Recent developments
      • 13.1.3.3.1 Deals
    • 13.1.3.4 MnM view
      • 13.1.3.4.1 Key strengths
      • 13.1.3.4.2 Strategic choices
      • 13.1.3.4.3 Weaknesses and competitive threats
  • 13.1.4 HONEYWELL INTERNATIONAL, INC.
    • 13.1.4.1 Business overview
    • 13.1.4.2 Products/Solutions/Services offered
    • 13.1.4.3 Recent developments
      • 13.1.4.3.1 Product launches and enhancements
      • 13.1.4.3.2 Deals
    • 13.1.4.4 MnM view
      • 13.1.4.4.1 Key strengths
      • 13.1.4.4.2 Strategic choices
      • 13.1.4.4.3 Weaknesses and competitive threats
  • 13.1.5 SIEMENS AG
    • 13.1.5.1 Business overview
    • 13.1.5.2 Products/Solutions/Services offered
    • 13.1.5.3 Recent developments
      • 13.1.5.3.1 Deals
    • 13.1.5.4 MnM view
      • 13.1.5.4.1 Key strengths
      • 13.1.5.4.2 Strategic choices
      • 13.1.5.4.3 Weaknesses and competitive threats
  • 13.1.6 ORACLE CORPORATION
    • 13.1.6.1 Business overview
    • 13.1.6.2 Products/Solutions/Services offered
    • 13.1.6.3 Recent developments
      • 13.1.6.3.1 Deals
  • 13.1.7 VESTAS WIND SYSTEMS A/S
    • 13.1.7.1 Business overview
    • 13.1.7.2 Products/Solutions/Services offered
    • 13.1.7.3 Recent developments
      • 13.1.7.3.1 Deals
  • 13.1.8 IBM CORPORATION
    • 13.1.8.1 Business overview
    • 13.1.8.2 Products/Solutions/Services offered
    • 13.1.8.3 Recent developments
      • 13.1.8.3.1 Deals
  • 13.1.9 MICROSOFT CORPORATION, INC.
    • 13.1.9.1 Business overview
    • 13.1.9.2 Products/Solutions/Services offered
    • 13.1.9.3 Recent developments
      • 13.1.9.3.1 Deals
  • 13.1.10 AMAZON WEB SERVICES, INC
    • 13.1.10.1 Business overview
    • 13.1.10.2 Products/Solutions/Services offered
    • 13.1.10.3 Recent developments
      • 13.1.10.3.1 Deals
  • 13.1.11 ATOS SE
    • 13.1.11.1 Business overview
    • 13.1.11.2 Products/Solutions/Services offered
    • 13.1.11.3 Recent developments
      • 13.1.11.3.1 Product launches and enhancements
      • 13.1.11.3.2 Deals
  • 13.1.12 TESLA, INC.
  • 13.1.13 C3.AI, INC.
  • 13.1.14 ALPIQ
  • 13.1.15 ENEL S.P.A.
• 13.2 STARTUPS/SMES
  • 13.2.1 ORIGAMI ENERGY
  • 13.2.2 INNOWATTS
  • 13.2.3 IRASUS TECHNOLOGIES
  • 13.2.4 GRID4C
  • 13.2.5 UPLIGHT
  • 13.2.6 GRIDBEYOND
  • 13.2.7 ESMART SYSTEMS
  • 13.2.8 NDUSTRIAL
  • 13.2.9 DATATEGY
  • 13.2.10 OMDENA
  • 13.2.11 BIDGELY
  • 13.2.12 AVATHON

14 ADJACENT/RELATED MARKETS

• 14.1 INTRODUCTION
• 14.2 CONVERSATIONAL AI MARKET
  • 14.2.1 MARKET OVERVIEW
  • 14.2.2 CONVERSATIONAL AI MARKET, BY OFFERING
• 14.3 SERVICES
  • 14.3.1 CONVERSATIONAL AI MARKET, BY SERVICE
  • 14.3.2 CONVERSATIONAL AI MARKET, BY BUSINESS FUNCTION
  • 14.3.3 CONVERSATIONAL AI MARKET, BY INTEGRATION MODE
  • 14.3.4 CONVERSATIONAL AI MARKET, BY VERTICAL
• 14.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET
  • 14.4.1 MARKET DEFINITION
  • 14.4.2 MARKET OVERVIEW
  • 14.4.3 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY OFFERING
  • 14.4.4 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY DEPLOYMENT TYPE
  • 14.4.5 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY ORGANIZATION SIZE
  • 14.4.6 CUSTOMER EXPERIENCE MANAGEMENT MARKET, BY VERTICAL

15 APPENDIX

• 15.1 DISCUSSION GUIDE
• 15.2 KNOWLEDGESTORE: MARKETSANDMARKETS' SUBSCRIPTION PORTAL
• 15.3 CUSTOMIZATION OPTIONS
• 15.4 RELATED REPORTS
• 15.5 AUTHOR DETAILS