Vector Database Market - By Technology (Natural Language Processing, Computer Vision, Recommendation Systems), By Type (Solution, Services), By Industry Vertical & Forecast, 2023

Description

List of Tables

Vector database market size is projected to expand at over 20.5% CAGR from 2023 to 2032, propelled by the increasing volumes of complex data and the surging demand for efficient storage and retrieval solutions. Vector databases offer superior performance in handling spatial data and have emerged essential for applications like mapping and geolocation. Several industries like finance, healthcare, and logistics are increasingly adopting vector databases to handle geospatial and multidimensional data effectively.

The rise of location-based services, real-time analytics, and the IoT will also drive the market growth. For instance, in February 2023, Microsoft Dynamics 365 Copilot integrated AI capabilities to aid the sales teams. Copilot AI utilizes data from Microsoft 365 Graph and CRM for generating editable product descriptions for sales sites and suggesting responses to customer emails. Additionally, the increasing data complexity will position vector databases as integral components of modern data management strategies.

The vector database industry is segregated into technology, type, industry vertical, and region.

Based on type, the industry value from the services segment is estimated to rise at substantial CAGR between 2023 and 2032. The growth can be attributed to the increasing demand for professional services, including consulting and maintenance, to effectively implement and manage vector database solutions. The rising prominence of service providers in optimizing vector databases for diverse applications will also boost the segment growth.

Vector database market share from the computer vision segment is projected to witness significant CAGR through 2032. This is due to the rising adoption of computer vision technologies in applications like image recognition and analysis. Vector databases facilitate the efficient storage and retrieval of vector representations crucial for computer vision tasks. This is contributing to their growing demand in diverse industries.

Regionally, the Asia Pacific vector database industry is slated to expand at rapid pace between 2023 and 2032. This is owing to the rapid expansion of e-commerce platforms requiring efficient logistics and transportation networks. Vector databases play a vital role in route optimization, warehouse management, and delivery services for ensuring timely and cost-effective deliveries for e-commerce businesses across the region.

Product Code: 7334

Chapter 1 Methodology & Scope

1.1 Market scope & definition
1.2 Base estimates & calculations
1.3 Forecast calculation
1.4 Data sources
- 1.4.1 Primary
- 1.4.2 Secondary
  - 1.4.2.1 Paid sources
  - 1.4.2.2 Public sources

Chapter 2 Executive Summary

2.1 Vector database market 360 degree synopsis, 2018 - 2032
2.2 Business trends
- 2.2.1 Total Addressable Market (TAM), 2023-2032
2.3 Regional trends
2.4 Technology trends
2.5 Type trends
2.6 Industry vertical trends

Chapter 3 Vector Database Industry Insights

3.1 Impact of COVID-19
3.2 Industry ecosystem analysis
3.3 Vendor matrix
3.4 Profit margin analysis
3.5 Technology & innovation landscape
3.6 Patent analysis
3.7 Key news and initiatives
- 3.7.1 Partnership/Collaboration
- 3.7.2 Merger/Acquisition
- 3.7.3 Investment
- 3.7.4 Technology launch & innovation
3.8 Regulatory landscape
3.9 Impact forces
- 3.9.1 Growth drivers
  - 3.9.1.1 Growing data volume and complexity
  - 3.9.1.2 Rising adoption of Artificial Intelligence (AI) and Machine Learning (ML) across industries
  - 3.9.1.3 Increasing need for real-time analytics
  - 3.9.1.4 Rising demand for geospatial and time-series data analysis
- 3.9.2 Industry pitfalls & challenges
  - 3.9.2.1 High cost of commercial vector databases
  - 3.9.2.2 Complex setup and management
3.10 Growth potential analysis
3.11 Porter's analysis
3.12 PESTEL analysis

Chapter 4 Competitive Landscape, 2022

4.1 Introduction
4.2 Company market share, 2022
4.3 Competitive analysis of major market players, 2022
- 4.3.1 Pinecone
- 4.3.2 MongoDB
- 4.3.3 Milvus
- 4.3.4 Qdrant
- 4.3.5 KX
- 4.3.6 Zilliz
- 4.3.7 DataStax
4.4 Competitive positioning matrix, 2022
4.5 Strategic outlook matrix, 2022

Chapter 5 Vector Database Market Estimates & Forecast, By Technology (Revenue)

5.1 Key trends, by technology
5.2 Natural language processing
5.3 Computer Vision
5.4 Recommendation Systems

Chapter 6 Vector Database Market Estimates & Forecast, By Type (Revenue)

6.1 Key trends, by type
6.2 Services
- 6.2.1 Vector Generation
- 6.2.2 Vector Search
- 6.2.3 Storage and Retrieval Vectors
6.3 Solution
- 6.3.1 Professional Services
- 6.3.2 Managed Services

Chapter 7 Vector Database Market Estimates & Forecast, By Industry vertical (Revenue)

7.1 Key trends, by industry vertical
7.2 Retail & E-Commerce
7.3 BFSI
7.4 Retail
7.5 Media & Entertainment
7.6 Healthcare & Life Sciences
7.7 Manufacturing
7.8 IT & Telecom
7.9 Others

Chapter 8 Vector Database Market Estimates & Forecast, By Region (Revenue)

8.1 Key trends, by region
8.2 North America
- 8.2.1 U.S.
- 8.2.2 Canada
8.3 Europe
- 8.3.1 UK
- 8.3.2 Germany
- 8.3.3 France
- 8.3.4 Italy
- 8.3.5 Spain
- 8.3.6 Nordics
8.4 Asia Pacific
- 8.4.1 China
- 8.4.2 India
- 8.4.3 Japan
- 8.4.4 Australia
- 8.4.5 South Korea
- 8.4.6 Southeast Asia
8.5 Latin America
- 8.5.1 Brazil
- 8.5.2 Mexico
- 8.5.3 Argentina
8.6 MEA
- 8.6.1 UAE
- 8.6.2 Saudi Arabia
- 8.6.3 South Africa

Chapter 9 Company Profiles

9.1 Chroma DB
9.2 DataStax
9.3 Elastic
9.4 KX
9.5 Marqo AI
9.6 Microsoft
9.7 Milvus
9.8 MongoDB
9.9 MyScale
9.10 OpenSearch
9.11 Pinecone
9.12 Qdrant
9.13 Redis
9.14 Rockset
9.15 SingleStore
9.16 Supabase
9.17 Typesense
9.18 Vespa
9.19 Weaviate
9.20 Zilliz