Google and Microsoft are moving in earnest into the artificial intelligence (AI) coding market led by Anthropic and OpenAI. The competition is moving beyond coding tools to a battle among big tech companies for leadership to keep developers tied to their AI models and cloud ecosystems.

CNBC reported on June 1 that Google and Microsoft view AI coding tools as a next-generation growth business and are speeding up efforts to secure developers and corporate customers.

The industry analyses that the key to the AI coding market battle is not software sales itself. Once developers start using a particular AI coding tool, they naturally also use the company’s AI models, development platform and cloud services. Gil Luria, an analyst at D.A. Davidson, called the competition in this market “absolutely critical” for the two companies.

The current market leader is Anthropic. As the generative AI boom gathered pace, its AI coding tool Claude Code spread rapidly, increasing its influence in the developer community. OpenAI has also recently stepped up its push into the enterprise market, competing with Codex.

Growth at specialist AI coding companies is also steep. AI development tools company Cursor recently signed a partnership deal with SpaceX, expanding its presence in the market.

Market growth prospects are also bright. Market research firm Mordor Intelligence forecast the global AI coding tools market will grow from $9.3 billion this year to about $30 billion in 2031. It put the compound annual growth rate at 26 percent.

Google recently positioned AI coding and agent technology as core strategies at its developer event I/O. It unveiled Antigravity 2.0, which runs multiple AI agents in parallel, and a new model, Gemini 3.5 Flash, stressing stronger coding performance. Google CEO Sundar Pichai (순다르 피차이) said in a recent interview that Google is somewhat behind in agent-based coding and long-running tasks, while pointing to price competitiveness as a differentiating factor.

Google unveiled an AI developer subscription service priced at about $100 a month. It also expanded Antigravity’s token usage limits to meet developers’ needs.

Microsoft is also moving to strengthen its AI coding competitiveness. The company is expected to unveil a new coding model for Copilot at its annual developer event Build in San Francisco this week. It plans to expand usage-based billing along with a lower pricing policy than rivals. As AI coding work increases and token usage surges, it is building a revenue model that reflects that.

Ken Pomerleau, an analyst at Forrester Research, said, “AI coding tools are now serving as a new gateway for developers to enter a specific platform.”

Corporate customers are still tending to use multiple services in parallel rather than being locked into a single provider. Database company MongoDB is using several generative AI tools at the same time, including Claude Code. MongoDB CEO CJ Desai (CJ 데사이) said it should always be possible to switch if a better product emerges, adding that the company is maintaining a flexible strategy instead of long-term contracts.

Snowflake is also using Claude Code alongside its own AI tools. CEO Sridhar Ramaswamy (스리다르 라마스와미) said there are cases where a highly productive developer uses more than $50,000 a year in AI tool costs.

The industry sees competition in AI coding tools as potentially reshaping the broader corporate software market beyond simple productivity gains. Anthropic recently unveiled an upgrade to its latest model, Claude Opus, specialised for complex coding tasks and expanded the base context length to 1 million tokens. It also disclosed that it has filed confidentially for an initial public offering, raising expectations for growth.

Microsoft is seen as standing at a particularly important crossroads. The company is directly connected to millions of developers through GitHub, and it offers OpenAI, Anthropic and Google models in GitHub Copilot. The question is whether Microsoft will remain a platform provider or can also secure competitiveness in its own AI models.

Wells Fargo analyst Michael Turrin (마이클 터린) said, “Developers ultimately move to the newest models with the best performance.” He added, “Microsoft needs to present differentiated use cases as well as price competitiveness.”

The industry sees the AI coding market contest as moving beyond model performance into an ecosystem battle. It analyses that who can keep developers for longer could determine not only AI model competitiveness but also leadership in the cloud market.