STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY AI Strategy 2025
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY AI Strategy - 2025
In 2025, STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY has filed a diverse range of AI-related patent applications, reflecting its strategic focus on artificial intelligence innovations. This page analyzes patent applications submitted by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY in different CPC (Cooperative Patent Classification) classes and identifies key technology trends.
Introduction
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI patent strategy in 2025 showcases a robust approach to protecting and advancing its technological innovations across multiple areas. By securing patents in these key CPC classes, STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY not only strengthens its market position but also fosters continuous innovation in artificial intelligence and related technologies.
To date in 2025, STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY has filed 62 patent applications related to artificial intelligence technologies.
Key Technology Areas

CPC G06N20/00 (Machine learning)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in Machine learning, which are crucial for the company's AI initiatives.
- Total Applications Filed: 22
- Percentage of AI Portfolio: 35.5%
CPC G06V20/20 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 7
- Percentage of AI Portfolio: 11.3%
CPC G06T19/006 ({Mixed reality (object pose determination, tracking or camera calibration for mixed reality)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in {Mixed reality (object pose determination, tracking or camera calibration for mixed reality, which are crucial for the company's AI initiatives.
- Total Applications Filed: 6
- Percentage of AI Portfolio: 9.7%
CPC G06T17/05 (Geographic models)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in Geographic models, which are crucial for the company's AI initiatives.
- Total Applications Filed: 5
- Percentage of AI Portfolio: 8.1%
CPC G10L15/22 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 5
- Percentage of AI Portfolio: 8.1%
CPC G06T11/00 (2D [Two Dimensional] image generation)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in 2D [Two Dimensional] image generation, which are crucial for the company's AI initiatives.
- Total Applications Filed: 4
- Percentage of AI Portfolio: 6.5%
CPC G10L15/26 (SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 4
- Percentage of AI Portfolio: 6.5%
CPC G06V20/593 (IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 4.8%
CPC G06N5/04 (Inference or reasoning models)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in Inference or reasoning models, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 4.8%
CPC G06T7/20 (Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals)
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent applications in this area focus on innovations in Analysis of motion (motion estimation for coding, decoding, compressing or decompressing digital video signals, which are crucial for the company's AI initiatives.
- Total Applications Filed: 3
- Percentage of AI Portfolio: 4.8%
AI Patent Categories

Machine Learning
- Patents: 25
- Percentage: 40.3%
- Description: A field of AI focused on algorithms that can learn from and make predictions on data without being explicitly programmed.
Computer Vision
- Patents: 16
- Percentage: 25.8%
- Description: AI systems that can interpret and make decisions based on visual data from the world.
Other AI
- Patents: 10
- Percentage: 16.1%
- Description: Various AI technologies that don't fall into the main categories above.
Natural Language Processing
- Patents: 6
- Percentage: 9.7%
- Description: AI techniques focused on the interaction between computers and human language.
Image Processing
- Patents: 4
- Percentage: 6.5%
- Description: AI techniques for processing, analyzing, and understanding images.
Knowledge-based Systems
- Patents: 1
- Percentage: 1.6%
- Description: AI systems that use a knowledge base to solve complex problems typically requiring human expertise.
Recent STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY AI Patent Applications
Below are some of the most recent AI-related patent applications filed by STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY in 2025:
Patent Title | Filing Date | Description |
---|---|---|
GENERATIVE ARTIFICIAL INTELLIGENCE (AI) FOR HOME MAINTENANCE ALERTS AND REPAIR AUTOMATION | 2025-05-01 | An electronic device to automate home maintenance alerts and repair work is disclosed. The device includes a processor programmed to: (i) receive data associated with an appliance and corresponding to... |
SYSTEMS AND METHODS FOR AUGMENTED REALITY MAPPING | 2025-05-01 | A computer system is provided. The computer system may be programmed to: (a) receive, from a user computing device, a request identifying (i) a building, (ii) an inquiry relating to the building, (iii... |
SYSTEMS AND METHODS FOR ENHANCED VIRTUAL REALITY INTERACTIONS INCLUDING MANNERISM OF A USER | 2025-05-01 | A computer system for generating a virtual reality replicant persona for interaction with a user is disclosed. The computer system includes at least one processor programmed to: (i) receive a pluralit... |
SYSTEMS AND METHODS FOR ADAPTIVE ROUTE OPTIMIZATION FOR LEARNED TASK PLANNING | 2025-04-24 | An adaptive mapping (AM) computing device having at least one processor in communication with at least one memory device is provided. The AM computing device may be configured to retrieve a plurality ... |
SYSTEMS AND METHODS FOR PREDICTIVE MODELING VIA SIMULATION | 2025-04-24 | Methods, systems, and computer readable media for predictively determining a risk of damage to a property are provided. To determine the risk, a high resolution virtual model of a region that includes... |
DOCUMENT PROCESSING USING MACHINE LEARNING | 2025-04-24 | Techniques for automatic intake and handling of the documents are discussed herein. A system may automatically classify a received document as image or text, and based on the classification, further p... |
APPARATUSES, SYSTEMS AND METHODS FOR CLASSIFYING DIGITAL IMAGES | 2025-04-17 | The present disclosure is directed to apparatuses, systems and methods for automatically classifying digital images of occupants inside a vehicle. More particularly, the present disclosure is directed... |
SYSTEMS AND METHODS FOR A 3D HOME MODEL FOR REPRESENTATION OF PROPERTY | 2025-04-17 | The following relates generally to light detection and ranging (LIDAR) and artificial intelligence (AI). In some embodiments, a system: receives LIDAR data generated from a LIDAR camera; measures plur... |
SYSTEMS AND METHODS FOR GENERATING ON-DEMAND INSURANCE POLICIES | 2025-04-17 | An on-demand insurance (ODI) server for generating dynamic user offerings may be provided. The ODI server may include at least one processor in communication with a memory device. The at least one pro... |
Call Review Tool for Intelligent Voice Interface | 2025-04-17 | A method for facilitating reviews of caller interactions with an intelligent voice interface may include receiving raw voice data representing dialog between one or more callers and the intelligent vo... |
Overview of STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI Patent Strategy
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY is renowned not only for its innovative products but also for its strategic approach to AI patent applications. STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent strategy focuses on protecting its technological advancements in artificial intelligence, machine learning, and related technologies. This strategy helps STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY maintain a competitive edge and fosters innovation within the industry.
The company's AI patent filings reveal a particular emphasis on Machine Learning, which accounts for approximately 40.3% of their AI-related patents in 2025.
AI Patent Trends
The chart above shows the trend of STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI patent applications over time, revealing how STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY has strategically increased its AI patent portfolio over time.
Frequently Asked Questions About STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI Patent Strategy
What are STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's main focus areas in AI patent applications?
Based on patent filing analysis, STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's key focus areas include Machine Learning (25 patents), Computer Vision (16 patents), Other AI (10 patents). These areas represent 82.3% of STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI-related patent applications.
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY has filed 62 AI-related patent applications in 2025 so far.
What is STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's most active AI technology area?
The most active area is Machine Learning, with 25 patent applications representing 40.3% of their AI patent portfolio.
How does STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY protect its AI innovations?
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY employs a strategic patent filing approach focused on protecting core AI technologies while also maintaining some trade secrets. Their patent strategy covers both foundational AI methods and specific applications in their product areas.
What types of AI applications is STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY patenting?
Based on recent patent filings, STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY is patenting AI applications in Machine Learning, Computer Vision, Other AI, among other areas.
How does STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI patent strategy compare to competitors?
Analysis of STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's patent filings shows an increased focus on Machine Learning and Computer Vision compared to industry averages, suggesting a strategic emphasis on these technologies.
What might STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY's AI patent strategy indicate about future products?
The concentration of patents in Machine Learning and Computer Vision suggests STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY may be developing new products or services that leverage these technologies. This could indicate upcoming features in their existing product lines or entirely new offerings.
See Also
- STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY Patent Application Trends in 2025
- List of Top AI Patent Filers in 2025
- Artificial Intelligence Patent Trends
- CPC Classification Guide for AI Technologies
This page was last updated on 02 May 2025.