| 出版社 | Grand View Research |
| 出版年月 | 2025年7月 |
Automotive Predictive Analytics Market Size, Share & Trends Analysis Report
世界の自動車予測分析市場規模は、2024年に17億7,000万米ドルと推定され、2025年から2033年にかけて年平均成長率29.1%で成長し、2033年には168億1,000万米ドルに達すると予測されています。この着実な成長は、コネクテッドカーにおけるAIと機械学習の統合の増加、予知保全ソリューションの需要増加、テレマティクスおよび使用状況ベースの保険モデルの採用増加、パフォーマンスの最適化と安全性の向上のためにリアルタイムデータ分析に大きく依存する電気自動車と自動運転車の急速な普及に起因しています。
車車間通信(V2X)、特に車車間通信(V2V)と路車間通信(V2I)の統合は、自動車分野における予測的意思決定の強化において極めて重要な役割を果たしてきました。米国運輸省が実施しているコネクテッド・ビークル・パイロット展開プログラムなどの継続的な取り組みは、リアルタイムのデータ共有による安全性と渋滞緩和において目に見える効果を示しています。DSRC(専用短距離通信)またはC-V2X技術を搭載した車両は、ブレーキ、位置情報、速度データを交換できるようになり、予測システムが事故を予測し、交通を動的に迂回させることが可能になります。この技術革新は、交通管理や車載システムにインテリジェンスを組み込むことで予測分析市場を活性化させ、公共安全と商業輸送に波及効果をもたらしています。
Automotive Predictive Analytics Market Summary
The global automotive predictive analytics market size was estimated at USD 1.77 billion in 2024, and is projected to reach USD 16.81 billion by 2033, growing at a CAGR of 29.1% from 2025 to 2033. This steady growth is attributed to the rising integration of AI and machine learning machine learning in connected vehicles, increasing demand for predictive maintenance solutions, growing adoption of telematics and usage-based insurance models, and the rapid proliferation of electric and autonomous vehicles that rely heavily on real-time data analytics for performance optimization and safety enhancements.

automotive-predictive-analytics-market-size
The integration of Vehicle-to-Everything (V2X) communication, particularly Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I), has played a pivotal role in enhancing predictive decision-making in the automotive space. The U.S. Department of Transportation’s ongoing efforts, such as its Connected Vehicle Pilot Deployment Program, have shown measurable benefits in safety and congestion reduction through real-time data sharing. Vehicles equipped with DSRC (Dedicated Short-Range Communications) or C-V2X technologies can now exchange braking, location, and speed data, enabling predictive systems to anticipate accidents and dynamically reroute traffic. This technological shift is boosting the market for predictive analytics by embedding intelligence into traffic management and in-vehicle systems, with ripple effects across public safety and commercial transport.
Automotive Predictive Analytics Market Report Scope
| Report Attribute | Details |
| Market size value in 2025 | USD 2.18 billion |
| Revenue forecast in 2033 | USD 16.81 billion |
| Growth Rate | CAGR of 29.1% from 2025 to 2033 |
| Base year for estimation | 2024 |
| Historical data | 2021 – 2023 |
| Forecast period | 2025 – 2033 |
| Quantitative units | Revenue in USD million/billion and CAGR from 2025 to 2033 |
| Report coverage | Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
| Segments covered | Component, application, vehicle type, end user, region |
| Regional scope | North America; Europe; Asia Pacific; Latin America; MEA |
| Country scope | U.S.; Canada; Mexico; Germany; UK; France; China; Japan; India; South Korea; Australia; Brazil; KSA; UAE; South Africa |
| Key companies profiled | IBM; SAP SE; Cloud Software Group, Inc.; Continental AG; Microsoft; NXP Semiconductors; Oracle; PTC; Robert Bosch GmbH; SAS Institute Inc.; ZF Friedrichshafen AG |
| Customization scope | Free report customization (equivalent up to 8 analysts working days) with purchase. Addition or alteration to country, regional & segment scope. |